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| 1 | Mengyun Liu, Xin Li and Krishnendu Chakrabarty, “Machine learning support for board-level functional fault diagnosis,” Machine Learning Support for Fault Diagnosis of System-on-Chip, ISBN 978-303-119-638-6, Springer, 2023 | Book Chapter |
| 2 | Jiezhu Chen, Kaizhu Huang and Zibing Zheng, “Fitting Imbalanced Uncertainties in Multi-Output Time Series Forecasting,” ACM Transactions on Knowledge Discovery from Data (TKDD), 2023. | Journal |
| 3 | Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Jie Sun and Kaizhu Huang, “Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation,” IEEE Journal of Biomedical Health Informatics (JBHI), 2023. | Journal |
| 4 | Peisong Li, Ziren Xiao, Xinheng Wang, Kaizhu Huang, Yi Huang and Honghao Gao, “EPtask: Deep Reinforcement Learning based Energy-efficient and Priority-aware Task Scheduling for Dynamic Vehicular Edge Computing,” IEEE Transactions on Intelligent Vehicles (TIV), 2023. | Journal |
| 5 | Kai Yao, Kaizhu Huang, Jie Sun and Amir Hussain, “Curran Jude: PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild,” IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023. | Journal |
| 6 | Zihan Ye, Guanyu Yang, Xiao-Bo Jin, Youfa Liu and Kaizhu Huang, “Rebalanced Zero-shot Learning,” IEEE Trans. Image Processing (TIP), 2023. | Journal |
| 7 | Wenhui Wei, Yangfan Zhou, Kaizhu Huang and Xin Liu, “GSL-VO: A Geometric-Semantic Information Enhanced Lightweight Visual Odometry in Dynamic Environments,” IEEE Transactions on Instrumentation & Measurement (TIM), 2023. | Journal |
| 8 | Li Wei, Chuyi Chen and Kaizhu Huang, “Absorb and Repel: Pseudo-Label Refinement for Intra-Camera Supervised Person Re-identification,” IEEE Transactions on Artificial Intelligence (TAI), 2023. | Journal |
| 9 | Yijie Hu, Bing Dong, Kaizhu Huang, Wei Wang, Xiaowei Huang and Qiu-Feng Wang, “Scene Text Recognition via Dual-path Network with Shape-driven Alignment,” ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2023. | Journal |
| 10 | Zhaorui Tan, Xi Yang, Zihan Ye, Qiufeng Wang, Yuyao Yan, Anh Nguyen and Kaizhu Huang, “Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation,” Pattern Recognition (PR), vol. 144, pp. 109883, 2023. | Journal |
| 11 | Jing Li, Qiu-Feng Wang, Kaizhu Huang#, Xi Yang, Rui Zhang and JY Goulermas, “Towards better long-tailed oracle character recognition with adversarial data augmentation,” Pattern Recognition (PR), vol. 140, pp. 109534, 2023. | Journal |
| 12 | Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang and Jimin Xia, “Aggregated Pyramid Gating Network for Human Pose Estimation without Pre-training,” Pattern Recognition (PR), 2023. | Journal |
| 13 | Hao Chen, Linyan Li, Fuyuan Hu, Fan Lyu, Liuqing Zhao, Kaizhu Huang, Wei Feng and Zhenping Xia, “Multi-semantic hypergraph neural network for effective few-shot learning,” Pattern Recognition (PR), vol.142, pp. 109677, 2023. | Journal |
| 14 | Yangfan Zhou, Kaizhu Huang, Jiang Li, Cheng Cheng, Xuguang Wang, Amir Hussian, Xin Liu, “Randomized block-coordinate adaptive algorithms for nonconvex optimization problems,” Engineering Applications of Artificial Intelligence (EAAI), vol. 121, pp. 105968, 2023. | Journal |
| 15 | Penglei Gao, Xi Yang, Rui Zhang, John Y. Goulermas, Yujie Geng, Yuyao Yan and Kaizhu Huang, “Generalized image outpainting with U-transformer,” Neural Networks (NN), vol. 162, pp. 1-10, 2023. | Journal |
| 16 | Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He and Canyi Lu, “Robust generative adversarial network,” Machine Learning (ML), vol. 112, no. 12, pp. 5135-5161, 2023 | Journal |
| 17 | Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Ahn Nguyen and Suparna De, “A Hussain, Fusing external knowledge resources for natural language understanding techniques,” A survey, Information Fusion (IF), 2023. | Journal |
| 18 | M Tanveer, MA Ganaie, Iman Beheshti, Tripti Goel, Nehal Ahmad, Kuan-Ting Lai, Kaizhu Huang, Yu-Dong Zhang, Javier Del Ser and Chin-Teng Lin, “Deep learning for brain age estimation: A systematic review,” Information Fusion (IF), 2023. | Journal |
| 19 | Chenru Jiang, Kaizhu Huang, Junwei Wu, Xinheng Wang, Jimin Xiao and Amir Hussain, “PointGS: Bridging and Fusing Geometric and Semantic Space for 3D Point Cloud Analysis,” Information Fusion (IF), 2023. | Journal |
| 20 | Junfei Wang, Zhenyu Xu, Domna G Kotsifaki, “Plasmonic and metamaterial biosensors: a game-changer for virus detection,” Sensors & Diagnostics, vol. 2, pp. 600-619, 2023. | Journal |
| 21 | Domna G Kotsifaki, Ranjan Rajiv Singh, Síle Nic Chormaic, Viet Giang Truong, “Asymmetric split-ring plasmonic nanostructures for the optical sensing of Escherichia coli,” Biomedical Optics Express, vol. 14, no. 9, pp. 4875-4887, 2023. | Journal |
| 22 | Theodoros D Bouloumis, Domna G Kotsifaki, Sile Nic Chormaic, “Enabling self-induced back-action trapping of gold nanoparticles in metamaterial plasmonic tweezers,” Nano Letters, vol. 23, no. 11, pp. 4723 -4731, 2023. | Journal |
| 23 | Xuan Wang, Chao Yan, Peng-yuan Yang, Zheng Xia, Xin-lu Cai, Yi Wang, Sze Chai Kwok and Chan RCK, “Unveiling the potential of machine learning in schizophrenia diagnosis: A meta-analytic study of task-based neuroimaging data,” Psychiatry and Clinical Neurosciences, 2023. | Journal |
| 24 | Yilai Pei, Yibo He, He Y, Liu X, Bai Y, Kwok SC, Li X, Wang Z, “Effects of musical expertise on line section and line extension,” Frontiers in Psychology, vol. 14, pp. 1190098, 2023. | Journal |
| 25 | Zhizhen Qu, Lei Shi, Billy Chun Lung So, Jia Yin and Sze Chai Kwok, “Uncertainty monitoring and information seeking in non-primate animals: Meta-analysis and systematic review,” Frontiers in Ethology, vol. 2, pp. 1246370, 2023. | Journal |
| 26 | Kofi Appiah, Zhiyong Jin, Lei Shi, and Sze Chai Kwok, “Naturalistic scene modelling: Deep learning with insights from biology,” Journal of Signal Processing Systems, 2023. | Journal |
| 27 | Mei Chen Yap, Fei Wu, Xulei Huang, Lingli Tang, Kehan Su, Xin Tong, Sze Chai Kwok, Chenkai Wu, Shan Wang, Zhengting He, Lijing L Yan, “Association between individual resilience and depression or anxiety among general adult population during COVID-19: A Systematic Review,” Journal of Public Health, vol. 45(4), e639-e655, 2023. | Journal |
| 28 | Allé MC, Danan F, Kwok SC, Davies V, Prudat C, Berna F, “Differential influence of first-vs. third-person visual perspectives on segmentation and memory of complex dynamic events,” Consciousness and Cognition, vol. 111, pp. 103508, 2023. | Journal |
| 29 | Zexin Cai and Ming Li, “Integrating Frame-Level Boundary Detection and Deepfake Detection for Locating Manipulated Regions in Partially Spoofed Audio Forgery Attacks,” Computer Speech and Language, 2023. | Journal |
| 30 | Li Li, Yi (Esther) Su, Wenwen Hou, Muyu Zhou, Yixiang Xie, Xiaobing Zou and Ming Li, “Expressive language profiles in a clinically screening sample of Mandarin-speaking preschool children with Autism Spectrum Disorder,” Journal of Speech, Language, and Hearing Research, 2023. | Journal |
| 31 | Feng-lei Zhu, Shi-huan Wang, Wen-bo Liu, Hui-lin Zhu, Ming Li and Xiao-bing Zou, “A multimodal machine learning system in early screening for toddlers with autism spectrum disorders based on the response to name,” Frontiers in Psychiatry, 2023. | Journal |
| 32 | Ming Cheng, Yingying Zhang, Yixiang Xie, Yueran Pan, Xiao Li, Wenxing Liu, Chengyan Yu, Dong Zhang, Yu Xing, Xiaoqian Huang, Fang Wang, Cong You, Yuanyuan Zou, Yuchong Liu, Fengjing Liang, Huilin Zhu, Chun Tang, Hongzhu Deng, Xiaobing Zou and Ming Li, “Computer-aided Autism Spectrum Disorder Diagnosis with Behavior Signal Processing,” IEEE Transactions on Affective Computing, 2023. | Journal |
| 33 | Handi Yu and Xin Li, “Data-driven parameterized corner synthesis for efficient validation of perception systems for autonomous driving,” ACM Trans. on Cyber-Physical System, vol. 7, no. 9, Apr. 24 Pages, 2023. | Journal |
| 34 | Yang Liu, Xin Tao, Xin Li, Armando Colombo and Shiyan Hu, “State-of-the-arts and potential applications of artificial intelligence in modern logistics systems,” IEEE Trans. on Industrial Cyber-Physical Systems, vol. 1, no. 1, pp. 1-20, Jun. 2023. | Journal |
| 35 | Shuo Zhao, Zikun Zhu, Xin Li and Ying-Chi Chen, “Robust wafer classification with imperfectly labeled data based on self-boosting co-teaching,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 42, no. 7, pp. 2214-2226, Jul. 2023. | Journal |
| 36 | Kun Wu, Nanlin Guo, Fei Li, Nengyong Zhu, Jun Tao and Xin Li, “Efficient statistical parameter extraction for modeling MOSFET mismatches,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 42, no. 5, pp. 1618-1622, May. 2023. | Journal |
| 37 | Cuong Nguyen, Xin Li, Ronald Blanton and Xiang Li, “Correlated Bayesian co-training for virtual metrology,” IEEE Trans. on Semiconductor Manufacturing, vol. 36, no. 1, pp. 28-36, Feb. 2023. | Journal |
| 38 | Zhengqi Gao, Fa Wang, Jun Tao, Yangfeng Su, Xuan Zeng and Xin Li, “Correlated Bayesian model fusion: efficient performance modeling of large-scale analog/RF integrated circuits over multiple corners,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 42, no. 2, pp. 360-370, Feb. 2023. | Journal |
| 39 | Renjian Pan, Xin Li and Krishnendu Chakrabarty, “Unsupervised two-stage root-cause analysis with transfer learning for integrated systems,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 42, no. 2, pp. 497-508, Feb. 2023. | Journal |
| 40 | B. Luo, X. Ouyang, P. Sun, P. Han, N, Ding, J. Huang, “Optimization Design for Federated Learning in Heterogeneous 6G Networks,” IEEE Network, vol. 37, no. 2, pp. 38-43, Mar. 2023. | Journal |
| 41 | Bolin Song, Xiaoyu Wang, Peng Sun, Azzedine Boukerche, “Robust COVID-19 vaccination control in a multi-city dynamic transmission network: A novel reinforcement learning-based approach,” Journal of Network and Computer Applications, vol. 219, pp. 103715, Oct. 2023, | Journal |
| 42 | Ge Lan, Xiaofei Pan, Yachao Sun and Yuan Lu, “Part of speech tagging of grammatical features related to L2 Chinese development: A case analysis of Stanza in the L2 writing context,” Frontiers in Psychology, vol. 14, pp. 1139703, 2023. | Journal |
| 43 | Zhiwei Bao, Yulin Hu, Peng Sun, Azzedine Boukerche, Anke Schmeink, “Average age upon decisions with truncated HARQ and optimization in the finite blocklength regime,” Computer Communications, vol. 209, pp. 387-401, 2023. | Journal |
| 44 | Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche, “A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks,” Computer Communications, vol.209, pp. 378-386, 2023. | Journal |
| 45 | Yue Chen, Peng Sun, Azzedine Boukerche, “LEHA: A novel lightweight efficient and highly accurate lane departure warning system,” Multimedia Tools and Applications, 2023. | Journal |
| 46 | Yang Liu, Jing Liu, Kun Yang, Bobo Ju, Siao Liu, Yuzheng Wang, Dingkang Yang, Peng Sun, Liang Song, “AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System,” IEEE Transactions on Industrial Informatics, 2023. | Journal |
| 47 | Jiaqi Luo, Zihao Wei, Junkai Man and Shixin Xu, “TRBoost: A Generic Gradient Boosting Machine based on Trust-region Method,” Applied Intelligence, 2023. | Journal |
| 48 | Tao Peng, Daqiang Xu, Yiyun Wu, Jing Zhao, Cong Yang, Lei Zhang, Jing Cai, “A mathematical and neural network-based hybrid technique for detecting the prostate contour from medical image data,” Biomedical Signal Processing and Control, 2023. | Journal |
| 49 | Wenzheng Sun, Jun Dang, Lei Zhang, and QichunWei, “Comparison of initial learning algorithms for long short-term memory method on real-time respiratory signal prediction,” Frontiers in Oncology, 2023. | Journal |
| 50 | Hongfei Wang, Ziqiang Zhang, Hongcan Xiong, Dongmian Zou, Yu Chen and Hai Jin, “GRAND: a graph neural network framework for improved diagnosis,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023. | Journal |
| 51 | Yifei Yang, Dongmian Zou and Xiaofan He, “Graph neural network-based node deployment for throughput enhancement,” IEEE Transactions on Neural Networks and Learning Systems, 2023. | Journal |
| 52 | Jiang Rui, Yijia Xue and Dongmian Zou, “Interpretability-aware industrial anomaly detection using autoencoders,” IEEE Access, vol. 11, pp. 60490-60500, 2023. | Journal |
| 53 | Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang, “Graph Neural Networks with Diverse Spectral Filtering,” ACM Web Conference (WWW), 2023. | Conference |
| 54 | Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Jie Sun, Kaizhu Huang, “Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 2, 2023. | Conference |
| 55 | Shuyi Qu, Zhenxing Niu, Jianke Zhu, Bin Dong, Kaizhu Huang, “Structure First Detail Next: Image Inpainting with Pyramid Generator,” International Conference on Multimedia Expo (ICME), 2023. | Conference |
| 56 | Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, and Kaizhu Huang, “Divide and Conquer: 3D Point Cloud Instance Segmentation with Pointwise Binarization,” International Conference on Computer Vision (ICCV), 2023. | Conference |
| 57 | Zhiqiang Gao, Kaizhu Huang, Rui Zhang, Dawei Liu, and Jieming Ma, “Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation,” International Conference on Computer Vision (ICCV), 2023. | Conference |
| 58 | Yiming Lin, Xiaobo Jin, Qiufeng Wang, and Kaizhu Huang, “Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network,” in IEEE International Conference on Data Mining (ICDM), 2023. | Conference |
| 59 | Maizhen Ning, Qiufeng Wang, Kaizhu Huang, and Xiaowei Huang, “A Symbolic Character-Aware Model for Solving Geometry Problems,” ACM Multimedia (MM), 2023. | Conference |
| 60 | Kai Yao, Zixian Su, Xi Yang, Jie Sun, and Kaizhu Huang#, “Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation,” in ACM Conference on Information and Knowledge Management (CIKM), 2023. | Conference |
| 61 | Zihao Zhou, Maizhen Ning, Qiufeng Wang, Jie Yao, Wei Wang, Xiaowei huang, and Kaizhu Huang, “Learning by Analogy: Diverse Questions Generation in Math Word Problem,” Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL) Findings, 2023. | Conference |
| 62 | Jiayi Liu, Qiufeng Wang, Wei Liao, Jianghan Chen and Kaizhu Huang, “Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network,” International Conference on Neural Information Processing (ICONIP), pp. 543-555, 2023. | Conference |
| 63 | Huiru Shao, Kaizhu Huang, Wei Wang, Xiaowei Huang and Qiufeng Wang, “Progressive Supervision for Tampering Localization in Document Images,” International Conference on Neural Information Processing (ICONIP), pp. 140-151, 2023. | Conference |
| 64 | Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Bin Dong & Kaizhu Huang, “Towards deeper and better multi-view feature fusion for 3D semantic segmentation,” International Conference on Neural Information Processing (ICONIP), pp. 3-15, 2023. | Conference |
| 65 | Zhaorui Tan, Siyuan Wang, Xi Yang and Kaizhu Huang, “PAG: Protecting Artworks from Personalizing Image Generative Models,” International Conference on Neural Information Processing (ICONIP), pp. 433-444, 2023. | Conference |
| 66 | Ming Cheng, Haoxu Wang, Ziteng Wang, Qiang Fu and Ming Li, “The WHU-Alibaba Audio-Visual Speaker Diarization System for the MISP 2022 Challenge,” ICASSP 2023. | Conference |
| 67 | Ming Cheng, Weiqing Wang, Yucong Zhang, Xiaoyi Qin, Ming Li, “Target-Speaker Voice Activity Detection Via Sequence-To-Sequence Prediction,” ICASSP 2023. | Conference |
| 68 | Danwei Cai, Zexin Cai, Ming Li, “Identifying Source Speakers for Voice Conversion Based Spoofing Attacks for Speaker Verification,” ICASSP 2023. | Conference |
| 69 | Danwei Cai, Weiqing Wang, Ming Li, Rui Xia, Chuanzeng Huang, “Pretraining Conformer with ASR for Speaker Verification,” ICASSP 2023. | Conference |
| 70 | HaoxuWang, Ming Cheng, Qiang Fu, Ming Li, “The DKU Post-Challenge Audio-Visual Wake Word Spotting System for the 2021 Misp Challenge: Deep Analysis,” ICASSP 2023. | Conference |
| 71 | Xingming Wang, Hao Wu, Chen Ding, Chuanzeng Huang, Ming Li, “Exploring Universal Singing Speech Language Identification Using Self-Supervised Learning Based Front-End Features,” ICASSP 2023. | Conference |
| 72 | Zexin Cai, Weiqing Wang, Ming Li, “Waveform Boundary Detection For Partially Spoofed Audio,” ICASSP 2023. | Conference |
| 73 | Xingming Wang, Bang Zeng, Hongbin Suo, Yulong Wan, Ming Li, “Robust audio anti-spoofing countermeasure with joint training of front-end and back-end models,” Interspeech 2023. | Conference |
| 74 | Bang Zeng, Hongbin Suo, Yulong Wan, Ming Li, “SEF-Net: Speaker Embedding Free Target Spekaer Extraction Network,” Interspeech 2023. | Conference |
| 75 | Yucong Zhang, Hongbin Suo, Yulong Wan, Ming Li, “Outlier-aware Inlier Modeling and Multi-scale Scoring for Anomalous Sound Detection via Multitask Learning,” Interspeech 2023. | Conference |
| 76 | Huali Zhou, Yueqian Lin, Yao Shi, Peng Sun, Ming Li, “BiSinger: Bilingual Singing Voice Synthesis,” ASRU 2023. | Conference |
| 77 | Yuke Lin, Xiaoyi Qin, Ning Jiang, Guoqing Zhao, Ming Li, “Haha-Pod: An Attempt for Laughter-based Non-Verbal Speaker Verification,” ASRU 2023. | Conference |
| 78 | Xiaoyi Qin, Xingming Wang, Yanli Chen, Qinglin Meng, Ming Li, “From Speaker Verification to Deepfake Algorithm Recognition: Our Learned Lessons from ADD2023 Track 3,” IJCAI 2023 Workshop on Deepfake Audio Detection and Analysis (DADA 2023). | Conference |
| 79 | Bang Zeng, Hongbin Suo, Yulong Wan, Ming Li, “Low-complexity Multi-Channel Speaker Extraction with Pure Speech Cues,” APSIPA ASC, 2023. | Conference |
| 80 | Wenxing Liu, Ming Cheng, Yueran Pan, Lynn Yuan, Suxiu Hu, Ming Li, Songtian Zeng, “Assessing the Social Skills of Children with Autism Spectrum Disorder via Language-Image Pre-training Models,” The 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV) 2023. | Conference |
| 81 | Bang Zeng, Hongbing Suo, Yulong Wan, Ming Li, “Simultaneous Speech Extraction for Multiple Target Speakers under the Meeting Scenarios,” NCMMSC 2023. | Conference |
| 82 | Yueqian Lin, Ming Li, “EEG-Based Speech Envelope Decoding: Structured State Space and Diffusion Model Integration,” NCMMSC 2023. | Conference |
| 83 | Zhixian Zhang, Yucong Zhang, Ming Li, “Pre-training Deep Learning Models with Finite Element Simulation Data for Enhanced Machine Anomalous Sound Detection,” NCMMSC 2023. | Conference |
| 84 | Ming Cheng, Weiqing Wang, Xiaoyi Qin, Yuke Lin, Ning Jiang, Guoqing Zhao, Ming Li, “The DKU-MSXF Diarization System for the VoxCeleb Speaker Recognition Challenge 2023”, NCMMSC 2023. | Conference |
| 85 | Hao Li, Weiqing Wang, Ming Li, “Real-time Automotive Engine Sound Simulation with Deep Neural Network,” NCMMSC 2023. | Conference |
| 86 | B. Luo, Y. Feng, S. Wang, J. Huang, L. Tassiulas, “Economics of Recruiting Partial Participated Federated Learning Clients,” accepted in Proc. of IEEE International Conference on Distributed Computing Systems (ICDCS), July 2023 | Conference |
| 87 | Wenli Xiao, Tingwei Ye; Bing Luo, Jianwei Huang, “Poster: FedRos – Federated Reinforcement Learning for Networked Mobile-Robot Collaboration,” in Proc. IEEE International Conference on Distributed Computing Systems (ICDCS), Jul. 2023. | Conference |
| 88 | Haowen Ji, Jiacheng Xie, Peng Sun, “A Lightweight IoT Device-friendly Anomaly Sitting Posture Detector for Protecting Adolescent Bone Development,” IEEE iThings, 2023 | Conference |
| 89 | Yueci Sun, Peng Sun, “An Online Deepsort-based Vehicle Tracking Method for Supporting Realtime Vehicle Surveillance,” IEEE INSAI, 2023 | Conference |
| 90 | Xinyu Qian, Peng Sun, “An Optimal DCP-based Defogging Method of Improving Objects Detection in Adverse Weather,” IEEE INSAI, 2023 | Conference |
| 91 | Zedian Shao, Peng Sun, Yulin Hu, Azzedine Boukerche, “Modern Deep Learning-based Object Detection Methods for Supporting Intelligent Transportation Systems: A Comparative Study,” IEEE INSAI, 2023 | Conference |
| 92 | Lang Qian, Peng Sun, Kun Yang, Azzedine Boukerche and Liang Song, “A Novel Multi-Factor Aware Online Scheduling Method for Improving Vehicular Edge Computing Efficiency,” ICC 2023 – IEEE International Conference on Communications, Rome, Italy, pp. 3357-3362, 2023. | Conference |
| 93 | Kun Yang, Dingkang Yang, Jingyu Zhang, Hanqi Wang, Peng Sun, and Liang Song, “What2comm: Towards Communication-efficient Collaborative Perception via Feature Decoupling,” in Proceedings of the 31st ACM International Conference on Multimedia (MM ’23), pp. 7686–7695, 2023. | Conference |
| 94 | Kun Yang, Dingkang Yang, Jingyu Zhang, Mingcheng Li, Yang Liu, Jing Liu, Hanqi Wang, Peng Sun, Liang Song, “Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 23383-23392, 2023. | Conference |
| 95 | Kun Yang, Jing Liu, Dingkang Yang, Hanqi Wang, Peng Sun, Yanni Zhang, Yan Liu, Liang Song, “A Novel Efficient Multi-View Traffic-Related Object Detection Framework,” in Proceedings of ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5, 2023. | Conference |
| 96 | Xu Deng, Peng Sun, Kun Yang, Gaoyun Fang, Azzedine Boukerche, Liang Song, “A Novel Robust Reinforcement Learning-based Dependent Task Offloading Algorithm for Mobile Edge Intelligence,” in Proceedings of 29th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2023), 2023. | Conference |
| 97 | Chenglin Zhang and Peng Sun, “Heuristic Methods for Solving the Traveling Salesman Problem (TSP): A Comparative Study,” in Proceedings of 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1-6, 2023. | Conference |
| 98 | Zepu Wang, Yifei Sun, Zhiyu Lei, Xincheng Zhu, Peng Sun, “SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory,” in Proceedings of IEEE ITSC 2023. | Conference |
| 99 | Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun, Shenhao Wang, Yulin Hu, “ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks,” in Proceedings of IEEE ITSC, 2023. | Conference |
| 100 | Suirong Xie, Shipei Zhang, Ghulam Hussain, Xiaoqi Zhou, Xiawa Wang, “Impact of Absorption on the Bulk Photovoltaic Effect of Polycrystalline Bismuth Ferrite Thin Films,” 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS). IEEE, 2023. | Conference |
| 101 | Tao Peng, Yaogong Zhang, Yan Dong, Yiwen Ruan, Rui Jin, Zhaorui Liu, Hongzhuang Wu, Yuling Shen and Lei Zhang, “AI-based intelligent annotation algorithm for medical segmentation from ultrasound data,” Pacific Rim International Conference on Artificial Intelligence, pp. 28-40, 2023. | Conference |
| 102 | Tao Peng, Daqiang Xu, Yiyun Wu, Jing Zhao, Hui Mao, Jing Cai and Lei Zhang, “Delineation of prostate boundary from medical images via a mathematical formular-based hybrid algorithm,” International Conference on Artificial Neural Networks, pp. 160-171, 2023. | Conference |
| 103 | Jing Gu and Dongmian Zou, “Three revisits to node-level graph anomaly detection: outliers, message passing and hyperbolic neural networks,” in the Second Learning on Graphs (LoG) Conference, Nov. 2023. | Conference |
| 104 | Yaning Jia, Dongmian Zou, Hongfei Wang, and Hai Jin, “Enhancing node-level adversarial defenses by Lipschitz regularization of graph neural networks,” in 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023. | Conference |
| 105 | Carlos-Gustavo Salas-Flores, Dongmian Zou and Luyao Zhang, “Making text-image connection formal and practical,” in ICML 2023 Neural Compression Workshop: From Information Theory to Applications, July 2023. | Conference |
| 106 | Yinglong Guo, Dongmian Zou and Gilad Lerman, “An unpooling layer for graph generation,” in International Conference on Artificial intelligence and statistics (AISTATS), 2023. | Conference |
| 107 | Chieh-Hsin Lai, Dongmian Zou and Gilad Lerman, “Robust variational autoencoding with Wasserstein penalty for novelty detection,” in International Conference on Artificial intelligence and statistics (AISTATS), 2023. | Conference |
1 | Michael Grottke, Kishor S. Trivedi, “Aging, Fast and Slow,” IEEE Computer, vol. 55, no. 5, pp. 73-75, 2022. | Journal |
2 | X. Du, Z. Zheng, G. Xiao, Z. Zhou and K. S. Trivedi, “DeepSIM: Deep Semantic Information-Based Automatic Mandelbug Classification,” IEEE Transactions on Reliability, vol. 71, no. 4, pp. 1540-1554, Dec. 2022. | Journal |
3 | J. Bai, X Chang, F Machida, L Jiang, Z Han, KS Trivedi, “Impact of Service Function Aging on the Dependability for MEC Service Function Chain,” IEEE Transactions on Dependable and Secure Computing, 2022. | Journal |
4 | Xiaolin Chang, Yu Shi, Zhenjiang Zhang, Zhen Xu, Kishor S. Trivedi, “Job Completion Time Under Migration-Based Dynamic Platform Technique,” IEEE Trans. Serv. Comput., vol. 15, no. 3, pp. 1345-1357, 2022. | Journal |
5 | Jing Bai, Xiaolin Chang, Gaorong Ning, Zhenjiang Zhang, Kishor S. Trivedi, “Service Availability Analysis in a Virtualized System: A Markov Regenerative Model Approach,” IEEE Trans. Cloud Comput., vol. 10, no. 3, pp. 2118-2130, 2022. | Journal |
6 | Jing Bai, Xiaolin Chang, Fumio Machida, Zhen Han, Yang Xu, Kishor S. Trivedi, “Quantitative understanding serial-parallel hybrid sfc services: a dependability perspective,” Peer-to-Peer Netw. Appl., vol15, no. 4, pp. 1923-1938, 2022. | Journal |
7 | Yihao Hu, Tong Zhao, Shixin Xu, Lizhen Lin, and Zhiliang Xu, “Neural-PDE: a RNN based neural network for solving time dependent PDEs,” Communications in Information and Systems, vol. 22, no. 2, pp. 223–245, 2022. | Journal |
8 | Dongna Hui, Yiyang Sun, Shixin Xu, Junjie Liu, Ping He, Yuhui Deng, Huaxiong Huang, Xiaoshuang Zhou, Rongshan Li, “Analysis of clinical predictors of kidney diseases in type 2 diabetes patients based on machine learning,” International Urology and Nephrology, 2022. | Journal |
9 | Caio Yurgel, “The (Other) Third Space: The Poetry of Hilda Hilst,” Journal of Lusophone Studies, vol. 6, no. 2, pp. 166-186, 2022. | Journal |
10 | Xiaoyi Qin, Danwei Cai, Ming Li, “Far-Field Multi-Channel Speaker Verification Based End-to-End Deep Learning,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022. | Journal |
11 | Weiqing Wang, Qingjian Lin, Danwei Cai, Ming Li, “Similarity Measurement of Segment-Level Speaker Embeddings in Speaker Diarization,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022. | Journal |
12 | Danwei Cai, Weiqing Cai, Ming Li, “Incorporating visual information in audio based self-supervised speaker recognition,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022. | Journal |
13 | Yaogen Yang, Haozhe Zhang, Zexin Cai, Yao Shi, Ming Li, Dong Zhang, Xiaojun Ding, Jianhua Deng and Jie Wang, “Electrolaryngeal Speech Enhancement based on Bottleneck Feature Refinement and Voice Conversion,” Biomedical Signal Processing and Control, 2022. | Journal |
14 | Zexin Cai, Yaogen Yang, Ming Li, “Cross-lingual Multispeaker Speech Synthesis under Limited-Data Scenarios,” Computer Speech and Language, 2022. | Journal |
15 | Yanze Xu, Ming Li, Huahua Cui and Mingyang Xu, “Paralinguistic singing attribute recognition using supervised machine learning for describing the singing voice in vocal pedagogy,” EURASIP Journal on Audio, Speech, and Music Processing, 2022. | Journal |
16 | Zhesi Zhu, Dong Zhang, Cailong Chi, Ming Li, and Dah-Jye Lee, “A Complementary Dual-branch Network for Appearance-based Gaze Estimation from Low-resolution Facial Image,” IEEE Transactions on Cognitive and Developmental Systems, 2022. | Journal |
17 | Xiao Li, Dong Zhang, Ming Li, Dah-Jye Lee, “Accurate Head Pose Estimation Using Image Rectification and Lightweight Convolutional Neural Network,” IEEE Transactions on Multimedia, 2022. | Journal |
18 | J Guo, K Huang, X Yi, R Zhang, “Learning Disentangled Graph Convolutional Networks Locally and Globally,” IEEE Transactions on Neural Networks and Learning Systems, 2022. | Journal |
19 | Y Zhou, K Huang, C Cheng, X Wang, A Hussain, X Liu, “FastAdaBelief: improving convergence rate for belief-based adaptive optimizers by exploiting strong convexity,” IEEE Transactions on Neural Networks and Learning Systems, 2022. | Journal |
20 | Kai Yao, Zixian Su, Kaizhu Huang, Xi Yang, Jie Sun, Amir Hussain, Frans Coenen, “A Novel 3D Unsupervised Domain Adaptation Framework for Cross-Modality Medical Image Segmentation,” IEEE Journal of Biomedic Health Informatics, vol. 26. No. 10, pp. 4976-4986, 2022. | Journal |
21 | P Gao, X Yang, K Huang, R Zhang, JY Goulermas, “Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-step Time Series Prediction,” IEEE Transactions on Knowledge and Data Engineering, 2022. | Journal |
22 | Y Zhou, K Huang, C Cheng, X Wang, A Hussain, X Liu, “Towards Faster Training Algorithms Exploiting Bandit Sampling from Convex to Strongly Convex Conditions,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2022. | Journal |
23 | H Xu, X Jin, Q Wang, A Hussain, K Huang, “Exploiting Attention-Consistency Loss for Spatial-Temporal Stream Action Recognition,” ACM Transactions on Multimedia Computing, Communications, and Applications, 2022. | Journal |
24 | C Jiang, K Huang, S Zhang, X Wang, J Xiao, Z Niu, A Hussain, “Towards Simple and Accurate Human Pose Estimation with Stair Network,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2022. | Journal |
25 | Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Kaizhu Huang, Shan Luo, Yao Zhao, “End-to-end weakly supervised semantic segmentation with reliable region mining,” Pattern Recognition, vol. 128: 108663, 2022. | Journal |
26 | Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Xu-Yao Zhang, “A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies,” Pattern Recognition, vol. 131: 108889, 2022. | Journal |
27 | Xiaobo Jin, Jianyu Miao, Qiufeng Wang, Guanggang Geng, Kaizhu Huang, “Sparse matrix factorization with L2, 1 norm for matrix completion,” Pattern Recognition, vol. 127: 108655, 2022. | Journal |
28 | Dingyuan Zheng, Jimin Xiao, Yunchao Wei, Qiufeng Wang, Kaizhu Huang, Yao Zhao, “Unsupervised domain adaptation in homogeneous distance space for person re-identification,” Pattern Recognition, vol. 132: 108941, 2022. | Journal |
29 | Shufei Zhang, Kaizhu Huang, Zenglin Xu, “Re-thinking model robustness from stability: a new insight to defend adversarial examples,” Machine Learning, vol. 111, no. 7, pp. 2489-2513, 2022. | Journal |
30 | Jingtao Yao, Yiyu Yao, Davide Ciucci, Kaizhu Huang, “Granular Computing and Three-way Decisions for Cognitive Analytics,” Cognitive Computation, vol. 14, no. 6, pp. 1801-1804, 2022. | Journal |
31 | Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang, “Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network,” Cognitive Computation, vol. 14, no. 6, pp. 2306-2316, 2022. | Journal |
32 | Ieracitano C, Morabito FC, Squartini S, Huang K, Li X, Mahmud M, “Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications,” Cognitive computation, 1-3, Aug. 2022, doi:10.1007/s12559-022-10049-9 | Journal |
33 | D Ke, X Wang, K Huang, H Wang, Z Huang, “Minimum Power Adversarial Attacks in Communication Signal Modulation Classification with Deep Learning, Cognitive Computation,” 1-10, 2022. | Journal |
34 | Peisong Li, Xinheng Wang, Kaizhu Huang, Yi Huang, Shancang Li, Muddesar Iqbal, “Multi-Model Running Latency Optimization in an Edge Computing Paradigm,” Sensors, vol. 22, no. 16, pp. 6097, 2022. | Journal |
35 | S Hu, Q Wang, K Huang, M Wen, F Coenen, “Retrieval-based language model adaptation for handwritten Chinese text recognition,” International Journal on Document Analysis and Recognition (IJDAR), 1-11, 2022. | Journal |
36 | C Zhang, G Huang, K Yao, M Leach, J Sun, K Huang, X Zhou, L Yuan, “A Comparison of Applying Image Processing and Deep Learning in Acne Region Extraction,” Journal of Image and Graphics, vol. 10, no. 4, 2022. | Journal |
37 | G Yang, Z Ye, R Zhang, K Huang, “A comprehensive survey of zero-shot image classification: methods, implementation, and fair evaluation,” Applied Computing and Intelligence, vol. 2, no. 1, pp. 1-31, 2022. | Journal |
38 | H Gul, F Al-Obeidat, A Amin, M Tahir, K Huang, “Efficient link prediction model for real-world complex networks using matrix-forest metric with local similarity features,” Journal of Complex Networks, vol. 10, no. 5, cnac039, 2022. | Journal |
39 | J Sun, K Yao, K Huang, D Huang, “Machine learning applications in scaffold based bioprinting,” Materials Today: Proceedings, vol. 70, pp. 17-23, 2022. | Journal |
40 | Renjian Pan*, Zhaobo Zhang, Xin Li, Krishnendu Chakrabarty and Xinli Gu, “Unsupervised two-stage root-cause analysis for integrated systems,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 41, no. 7, pp. 2170-2184, Jul. 2022. | Journal |
41 | Jun Tao, Handi Yu*, Yangfeng Su, Dian Zhou, Xuan Zeng and Xin Li, “Correlated rare failure analysis via asymptotic probability evaluation,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 41, no. 4, pp. 813-826, Apr. 2022. | Journal |
42 | Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng and Xin Li, “Fast statistical analysis of rare failure events with truncated normal distribution in high-dimensional variation space,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 41, no. 3, pp. 789-793, Mar. 2022. | Journal |
43 | Mengyun Liu, Xin Li, Krishnendu Chakrabarty and Xinli Gu, “Knowledge transfer in board-level functional fault diagnosis enabled by domain adaption,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 41, no. 3, pp. 762-775, Mar. 2022. | Journal |
44 | Jin, Z., Li, G., Cao, H., & Zou, D, “Towards geometry-aware cell segmentation in microscopy images,” NeurIPS 2022 Workshop on Medical Imaging meets NeurIPS. | Conference |
45 | Qu, Z., & Zou, D, “Lorentz direct concatenation for stable training in hyperbolic neural networks,” NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations. | Conference |
46 | Qingjian Lin, Lin Yang, Xuyang Wang, Xiaoyi Qin, Junjie Wang, Ming Li, “Towards Lightweight applications: Asymmetric Enroll-Verify Structure for Speaker Verification,” Proc. of ICASSP 2022. | Conference |
47 | Weiqing Wang, Ming Li, “Incorporating End-To-End Framework into Target-Speaker Voice Activity Detection,” Prof. of ICASSP 2022. | Conference |
48 | Haozhe Zhang, Zexin Cai, Xiaoyi Qin, Ming Li, “SIG-VC: A Speaker Information Guided Zero-Shot Voice Conversion System for Both Human Beings and Machines,” Proc. of ICASSP 2022. | Conference |
49 | Xiaoyi Qin, Na Li, Chao Weng, Dan Su, Ming Li, “Simple Attention Module Based Speaker Verification with Iterative Noisy Label Detection,” Proc. of ICASSP 2022. | Conference |
50 | Weiqing Wang, Xiaoyi Qin, Ming Li, “Cross-Channel Attention-Based Target Speaker Voice Activity Detection: Experimental Results for M2MET Challenge,” Proc. of ICASSP 2022. | Conference |
51 | Ming Cheng, Haoxu Wang, Yechen Wang, Ming Li, “The DKU Audio-Visual Wake Word Spotting System for the 2021 MISP Challenge,” Proc. of ICASSP 2022. | Conference |
52 | Yueran Pan, Jiaxin Wu, Ran Ju, Ziang Zhou, Jiayue Gu, Songtian Zeng, Lynn Yuang, Ming Li, “A Multimodal Framework for Automated Teaching Quality Assessment of One-to-many Online Instruction Videos,” Proc. of ICPR 2022. | Conference |
53 | Weiqing Wang, Ming Li and Qingjian Lin, “Online Target Speaker Voice Activity Detection for Speaker Diarization,” Interspeech 2022. | Conference |
54 | Xingming Wang, Xiaoyi Qin, Yikang Wang, Yunfei Xu and Ming Li, “The DKU-OPPO System for the Spoofing-Aware Speaker Verification challenge 2022,” Interspeech 2022. | Conference |
55 | Xiaoyi Qin, Na Li, Chao Weng, Dan Su, Ming Li, “Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings,” Interspeech 2022. | Conference |
56 | Yucong Zhang, Qinjian Lin, Weiqing Wang, Lin Yang, Xuyang Wang, Junjie Wang, Ming Li, “Online Speaker Diarization with Graph-Based Label Generation,” Odyssey 2022. | Conference |
57 | Jincheng He, Yuanyuan Bao, Na Xu, Hongfeng Li, Shicong Li, Linzhang Wang, Fei Xiang, Ming Li, “Single-Channel Target Speaker Separation using Joint Training with Target Speaker’s Pitch Information,” Odyssey 2022. | Conference |
58 | Haoxu Wang, Yan Jia, Zeqing Zhao, Xuyang Wang, Junjie Wang, Ming Li, “Generating Adversarial Samples for Training Wake-Up Word Detection Systems Against Confusing Words,” Odyssey 2022. | Conference |
59 | Yikang Wang, Xingming Wang, Hiromitsu Nishizaki, Ming Li, “Low Pass Filtering and Band Extension for Robust Anti-spoofing Countermeasure against Codec Variabilities,” ISCSLP 2022. | Conference |
60 | Tinglong Zhu, Xingming Wang, Xiaoyi Qin, Ming Li, “Source Tracing: Detecting Voice Spoofing,” APSIPA ASC 2022. | Conference |
61 | Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang, “Outpainting by Queries,” ECCV 2022. | Conference |
62 | Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Chaoliang Zhong, “Certifying Better Robust Generalization for Unsupervised Domain Adaptation,” ACM Multimedia, 2022. | Conference |
63 | Yijie Hu, Qiufeng Wang, Kaizhu Huang, “Towards Accurate Alignment and Sufficient Context in Scene Text Recognition,” ICONIP, 2022. | Conference |
64 | Shuyi Qu, Kaizhu Huang, Qiufeng Wang, Bing Dong, “Rethinking Image Inpainting with Attention Feature Fusion,” ICONIP, 2022. | Conference |
65 | Yuqi Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De, “Generalised Zero-shot Learning for Entailment-based Text Classification with External Knowledge,” pp. 19-25, SMARTCOMP, 2022. | Conference |
66 | Hao Chen, Linyan Li, Zhenping Xia, Fan Lyu, Liuqing Zhao, Kaizhu Huang, Wei Feng, Fuyuan Hu, “Harnessing Multi-Semantic Hypergraph for Few-Shot Learning,” PRCV, vol. 1, pp. 232-244, 2022. | Conference |
67 | Renjian Pan*, Xin Li and Krishnendu Chakrabarty, “Semi-supervised root-cause analysis with co-training for integrated systems,” IEEE VLSI Test Symposium, 7 Pages, 2022. | Conference |
1 | Mengyun Liu, Fangming Ye, Xin Li, Krishnendu Chakrabarty and Xinli Gu, “Board-level functional fault identification using streaming data,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 40, no. 9, pp. 1920-1933, Sep. 2021. | Journal |
2 | Kun Cao, Shiyan Hu, Yang Shi, Armando Colombo, Stamatis Karnouskos and Xin Li, “A survey on edge and edge-cloud computing assisted cyber-physical systems,” IEEE Trans. on Industrial Informatics, vol. 17, no. 11, pp. 7806-7819, Nov. 2021. | Journal |
3 | Ming Li, Hao Xu, Xingchang Huang, Zhanmei Song, Xiaolin Liu and Xin Li, “Facial expression recognition with identity and emotion joint learning,” IEEE Trans. on Affective Computing, vol. 12, no. 2, pp. 544-550, Apr. 2021. | Journal |
4 | Renjian Pan*, Zhaobo Zhang, Xin Li, Krishnendu Chakrabarty and Xinli Gu, “Black-box test-cost reduction based on Bayesian network models,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 40, no. 2, pp. 386-399, Feb. 2021. | Journal |
5 | Díaz, J. J., Mura, I., Franco, J. F., & Akhavan-Tabatabaei, R. (2021). aiRe-A web-based R application for simple, accessible and repeatable analysis of urban air quality data. Environmental Modelling & Software, 138, 104976. | Journal |
6 | 徐佳、崔静波，2020，《低碳城市和企业绿色技术创新》，《中国工业经济》，第 12 期，页码 178-196。（经济学国内权威期刊） | Journal |
7 | 崔静波、张学立、庄子银、程郁，2021，《企业出口与创新驱动——来自中关村企业自主创新数据的证据》，《管理世界》，第 1期 37卷，页码 76-87+6。(经济学国内 Top3期刊) | Journal |
8 | Cui, Jingbo, Jing Dai, Zhenxuan Wang, and Xiande Zhao, 2021, “Does Environmental Regulation Induce Green Innovation? A Panel Study of Chinese Listed Firms,” Technological Forecasting & Social hange, forthcoming. | Journal |
9 | Xiaoting Du; Zheng Zheng; Guanping Xiao; Zenghui Zhou;Kishor S. Trivedi; DeepSIM: Deep Semantic Information-Based Automatic Mandelbug Classification, IEEE Transactions on Reliability. | Journal |
10 | Weiqing Wang, Jin Pan, Hua Yi, Zhanmei Song, Ming Li, “Audio-based Piano Performance Evaluation for Beginners with Convolutional Neural Network and Attention Mechanism”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021. | Journal |
11 | Wenbo Liu, Ming Li, Xiaobing Zou, Bhiksha Raj, “Discriminative Dictionary Learning for Autism Spectrum Disorder Identification”, Frontiers in Computational Neuroscience, 2021. | Journal |
12 | Jianing Teng, Dong Zhang, Ming Li, Dah-Jye Lee, “Typical Facial Expression Network Using Facial Feature Decoupler and Spatial-Temporal Learning”, IEEE Transactions on Affective Computing, 2021. | Journal |
13 | Shuo Zhao*, Xin Li and Ying-Chi Chen, “Robust classification with noisy labels for manufacturing applications: a hybrid approach based on active learning and data cleaning,” Annual Conference of The IEEE Industrial Electronics Society, 6 Pages, 2021. | Conference |
14 | Shuo Zhao*, Xin Li and Ying-Chi Chen, “Robust classification with noisy labels by scaled cross entropy for manufacturing applications,” IEEE Emerging Technologies and Factory Automation, 8 Pages, 2021. | Conference |
15 | Renjian Pan*, Xin Li and Krishnendu Chakrabarty, “Unsupervised root-cause analysis with transfer learning for integrated systems,” IEEE VLSI Test Symposium, 6 Pages, 2021. | Conference |
16 | Mura, I. (2021, May). Stochastic Modeling and Analysis of Phased-Mission Systems Dependability. In 2021 Annual Reliability and Maintainability Symposium (RAMS) (pp. 1-6). IEEE. | Conference |
17 | Zenghui Zhou; Zheng Zheng; Tsong Yueh Chen; Jinyi Zhou; Kun Qiu; Follow-up Test Cases are Better Than Source Test Cases in Metamorphic Testing: A Preliminary Study,2021 IEEE/ACM 6th International Workshop on Metamorphic Testing (MET), Madrid, Spain, 2021-6-2至2021-6-2. | Conference |
18 | Ye Tian; Beibei Yin; Chenglong Li; A Model-based Test Cases Generation Method for Spacecraft Software,2021 8th International Conference on Dependable Systems and Their Applications (DSA), Yinchuan, China,2021-8-5至2021-8-6. | Conference |
19 | Mingxi Li; Bei-Bei Yin; ARB-BERT: An Automatic Aging-Related Bug Report Classification Method based on BERT,2021 8th International Conference on Dependable Systems and Their Applications (DSA), Yinchuan, China,2021-8-5至2021-8-6. | Conference |
20 | Xiaoting Du; Zheng Zheng; Lei Ma; Jianjun Zhao; An Empirical Study on Common Bugs in Deep Learning Compilers,2021 IEEE 32nd International Symposium on Software Reliability Engineering (ISSRE), Wuhan, China,2021-10-23至2021-10-25. | Conference |
21 | Xiaoyi Qin, Chao Wang, Yong Ma, Min Liu, Shilei Zhang, Ming Li, “Our Learned Lessons from Cross-Lingual Speaker Verification: The CRMI-DKU System Description for the Short-duration Speaker Verification Challenge 2021”, Proc. of INTERSPEECH 2021, 2317-2321. | Conference |
22 | Tinglong Zhu, Xiaoyi Qin, Ming Li, “Binary Neural Network for Speaker Verification”, Proc. of INTERSPEECH 2021, 86-90. | Conference |
23 | Weiqing Wang, Danwei Cai, Jin Wang, Mi Hong, Xuyang Wang, Qingjian Lin, Ming Li, “The DKU-Duke-Lenovo System Description for the Fearless Steps Challenge Phase III”, Proc. of INTERSPEECH 2021, 1044-1048. | Conference |
24 | Yan Jia, Xingming Wang, Xiaoyi Qin, Yinping Zhang, Xuyang Wang, Junjie Wang, Dong Zhang and Ming Li, “The 2020 Personalized Voice Trigger Challenge: Open Datasets, Evaluation Metrics, Baseline System and Results”, Proc. of INTERSPEECH 2021, 4239-4243. | Conference |
25 | Yao Shi, Hui Bu, Xin Xu, Shaoji Zhang, Ming Li, “AISHELL-3: A Multi-Speaker Mandarin TTS Corpus”, Proc. of INTERSPEECH 2021, 2756-2760. | Conference |
26 | Danwei Cai, Weiqing Wang, Ming Li, “An Iterative Framework for Self-Supervised Deep Speaker Representation Learning”, Proc. of ICASSP 2021, 6728-6732. | Conference |
27 | Xinmeng Chen, Xuchen Gong, Ming Cheng, Qi Deng, Ming Li, “Cross-modal Assisted Training for Abnormal Event Recognition in Elevators,” Proc. of ICMI 2021, 530-538. | Conference |
28 | Danwei Cai, Ming Li, “Embedding Aggregation for Far-Field Speaker Verification with Distributed Microphone Arrays”, Proc. of SLT 2021, 308-315. | Conference |
29 | Tingle Li, Jiawei Chen, Haowen Hou, Ming Li, “Sams-Net: A Sliced Attention-based Neural Network for Music Source Separation”, Proc. of ISCSLP 2021, 1-5. | Conference |
30 | Murong Ma, Haiwei Wu, Xuyang Wang, Lin Yang, Junjie Wang, Ming Li, “Acoustic Word Embedding on Code-switching Query by Example Spoken Term Detection”, Proc. of ISCSLP 2021. | Conference |
31 | Danwei Cai, Ming Li, “The DKU-DukeECE System for the Self-Supervision Speaker Verification Task of the 2021 VoxCeleb Speaker Recognition Challenge”, Proc. of VoxSRC 2021 workshop. | Conference |
32 | Weiqing Wang, Danwei Cai, Qingjian Lin, Lin Yang, Junjie Wang, Jin Wang, Ming Li. “The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge”, Proc. of VoxSRC 2021 workshop. | Conference |
33 | Xingming Wang, Xiaoyi Qin, Tinglong Zhu, Chao Wang, Shilei Zhang, Ming Li, “The DKU-CMRI System for the ASVspoof 2021 Challenge: Vocoder based Replay Channel Response Estimation”, Proc. of ASVspoof 2021 workshop. | Conference |
34 | Weicheng Cai, Ming Li, “A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data”, Proc. of APSIPA ASC 2021. | Conference |
35 | Jiyang Tang, Ming Li, “End-to-End Mandarin Tone Classification with Short Term Context Information”, Proc. of APSIPA ASC 2021. | Conference |
36 | Huangrui Chu, Yechen Wang, Ran Ju, Yan Jia, Haoxu Wang, Ming Li, Qi Deng, “Call for help detection in emergent situations using keyword spotting and paralinguistic analysis”, Proc. of ICMI Satellite Workshop ASMMC21. | Conference |
37 | Ran Ju, Huangrui Chu, Yechen Wang, Qi Deng, Ming Cheng, Ming Li, “A Multimodal Dynamic Neural Network for Call for Help Recognition in Elevators”, Proc. of ICMI Satellite Workshop ASMMC21. | Conference |
38 | Haiwei Wu and Ming Li, “Mask Detection and Breath Monitoring from Speech: on Data Augmentation, Feature Representation and Modeling”, Proc. of NCMMSC 2021. | Conference |
39 | Yuanyuan Bao, Yanze Xu, Na Xu, Wenjing Yang, Hongfeng Li, Shicong Li, Yongtao Jia, Fei Xiang, Jincheng He, Ming Li, “Lightweight Dual-channel Target Speaker Separation for Mobile Voice Communication”, Proc. of NCMMSC 2021. | Conference |
40 | Yechen Wang, Yan Jia, Murong Ma, Zexin Cai, Ming Li, “The DKU System Description for The INTERSPEECH 2021 Auto-KWS Challenge”, Proc. of NCMMSC 2021. | Conference |
1 | Petra Vizarreta, Kishor Trivedi, Veena Mendiratta, Wolfgang Kellerer, Carmen Mas-Machuca, “DASON: Dependability Assessment Framework for Imperfect Distributed SDN Implementations,” IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, vol. 17, no.2, pp. 652-667, Jun. 2020. | Journal |
2 | Jing Bai, Xiaolin Chang, Fumio Machida, Kishor S. Trivedi, Zhen Han, “Analyzing Software Rejuvenation Techniques in a Virtualized System: Service Provider and User Views,” IEEE Access, vol. 8, pp. 6448-6459, Jan. 2020. | Journal |
3 | K. Qiu, Z. Zheng, K. S. Trivedi and I. Mura, “Availability Analysis of Systems Deploying Sequences of Environmental-Diversity-Based Recovery Methods,” in IEEE Transactions on Reliability, doi: 10.1109/TR.2020.3023032. | Journal |
4 | K. Qiu, Z. Zheng, T. Chen and P. Poon, “Theoretical and Empirical Analyses of the Effectiveness of Metamorphic Relation Composition,” in IEEE Transactions on Software Engineering, doi: 10.1109/TSE.2020.3009698. | Journal |
5 | Fulin Peng, Handi Yu*, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng and Xin Li, “Efficient statistical analysis for correlated rare failure events via asymptotic probability approximation,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 12, pp. 4971-4984, Dec. 2020. | Journal |
6 | Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng and Xin Li, “Efficient rare failure analysis over multiple corners via correlated Bayesian inference,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 10, pp. 2029-2041, Oct. 2020. | Journal |
7 | Cuong Nguyen*, Xiang Li, Xin Li and Ronald Blanton, “Partial Bayesian co-training for virtual metrology,” IEEE Trans. on Industrial Informatics, vol. 16, no. 5, pp. 2937-2945, Mar. 2020. | Journal |
8 | Chen, Weicong; Zhang, Dong; Li, Ming; Lee, Dah-Jye, “STCAM: Spatial-Temporal and Channel Attention Module for Dynamic Facial Expression Recognition”, IEEE Transactions on Affective Computing, Sep. 2020. | Journal |
9 | Weicheng Cai, Jinkun Chen, Jun Zhang, Ming Li, “On the fly Data Loader and Utterance-level Aggregation for Speaker and Language Recognition”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 1038-1051, Mar. 2020. | Journal |
10 | Xiaoting Du, Guanping Xiao, Yulei Sui, “Fault Triggers in the TensorFlow Framework: An Experience Report,” 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE), pp. 1-12, 2020. | Conference |
11 | Guanping Xiao, Xiaoting Du, Yulei Sui, Tao Yue, “HINDBR: Heterogeneous Information Network Based Duplicate Bug Report Prediction,” 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE), pp. 195-206, 2020. | Conference |
12 | Renjian Pan*, Zhaobo Zhang, Xin Li, Krishnendu Chakrabarty and Xinli Gu, “Unsupervised root-cause analysis for integrated systems,” IEEE International Test Conference, 10 Pages, 2020. | Conference |
13 | Liying Li, Yang Liu*, Tongquan Wei and Xin Li, “Exploring inter-sensor correlation for missing data estimation,” Annual Conference of The IEEE Industrial Electronics Society, 2020. | Conference |
14 | Cuong Nguyen*, Xin Li, Ronald Blanton and Xiang Li, “Efficient classification via partial co-training for virtual metrology,” IEEE Emerging Technologies and Factory Automation, 2020. | Conference |
15 | Shuo Zhao*, Xin Li and Ying-Chi Chen, “A classification framework using incorrectly labeled data for manufacturing applications,” IEEE Emerging Technologies and Factory Automation, 2020. | Conference |
16 | Danwei Cai, Weicheng Cai and Ming Li, “within-sample variability-invariant loss for robust speaker recognition under noisy environments”. Proc. of ICASSP 2020. | Conference |
17 | Xiaoyi Qin, Hui Bu, Ming Li, “hi-mia : a far-field text-dependent speaker verification database and the baselines”, ICASSP 2020. | Conference |
18 | Ming Cheng, Kunjing Cai and Ming Li, “RWF-2000: An Open Large Scale Video Database for Violence Detection”, Proc. of ICPR 2020. | Conference |
19 | Yueran Pan, Kunjing Cai, Ming Cheng, Xiaobing Zou, Ming Li, ”Responsive Social Smile: A Machine Learning based Multimodal Behavior Assessment Framework towards Early Stage Autism Screening”, Proc. of ICPR 2020 | Conference |
20 | Zexin Cai, Chuxiong Zhang and Ming Li, “From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer by Feedback Constraint”, Proc. of Interspeech 2020. | Conference |
21 | Xiaoyi Qin, Ming Li, hui bu, Wei RAO, Rohan Kumar Das, Shrikanth Narayanan and Haizhou Li, “The INTERSPEECH 2020 Far-Field Speaker Verification Challenge”, Proc. of Interspeech 2020. | Conference |
22 | Haiwei Wu, Yan Jia, Yuanfei Nie and Ming Li, “Domain Aware Training for Far-field Small-footprint Keyword Spotting”, Proc. of Interspeech 2020. | Conference |
23 | Tingle Li, Qingjian Lin, Yuanyuan Bao and Ming Li, “Atss-Net: Target Speaker Separation via Attention-based Neural Network”, Proc. of Interspeech 2020 | Conference |
24 | Qingjian Lin, Yu Hou and Ming Li, “Self-Attentive Similarity Measurement Strategies in Speaker Diarization”, Proc. of Interspeech 2020. | Conference |
25 | Qingjian Lin, Tingle Li and Ming Li, “The DKU Speech Activity Detection and Speaker Identification Systems for Fearless Steps Challenge Phase-02”, Proc. of Interspeech 2020. | Conference |
26 | Qingjian Lin, Weicheng Cai, Lin Yang, Junjie Wang, Jun Zhang, Ming Li, “DIHARD II is Still Hard: Experimental Results and Discussions”, Proc. of Odyssey 2020. | Conference |
27 | Qingjian Lin, Tingle Li, Lin Yang, Junjie Wang, Ming Li, “Optimal Mapping Loss: A Faster Loss for End-to-End Speaker Diarization”, Proc. of Odyssey 2020. | Conference |
C
1 | Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng and Xin Li, “Efficient rare failure analysis over multiple corners via correlated Bayesian inference,” accepted by IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, 2019. | Journal |
2 | Renjian Pan, Jun Tao, Changhao Yan, Yangfeng Su, Dian Zhou, Xuan Zeng and Xin Li, “Analog/RF post-silicon tuning via Bayesian optimization,” accepted by ACM Trans. on Design Automation of Electronic Systems, 2019. | Journal |
3 | Xin Feng, Youni Jiang, Guohui Xiang, Ming Du and Xin Li, “Computer vision algorithms and hardware implementations: a survey,” accepted by Integration, The VLSI Journal, 2019. (Keynote Paper) | Journal |
4 | Cuong Nguyen, Xiang Li, Xin Li and Ronald Blanton, “Partial Bayesian co-training for virtual metrology,” accepted by IEEE Trans. on Industrial Informatics, 2019. | Journal |
5 | Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng and Xin Li, “Graph-constrained sparse performance modeling for analog circuit programming via SDP relaxation,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 38, no. 9, pp. 1385-1398, Aug. 2019. | Journal |
6 | Vishwanath Venkata, Xin Li and Aswin Sankaranarayanan, “Cross-scale predictive dictionaries,” IEEE Trans. on Image Processing, vol. 28, no. 2, pp. 803-814, Feb. 2019. | Journal |
7 | Kun Qiu, Zheng Zheng, Kishor S. Trivedi, Beibei Yin, “Stress testing with influencing factors to accelerate data race software failures,” accepted by IEEE Transactions on Reliability, 2019. | Journal |
8 | Yu Qiao, Zheng Zheng, Yunyu Fang, Fangyun Qin, Kishor S. Trivedi, Kai-Yuan Cai, “Two-level rejuvenation for android smartphones and its optimization,” IEEE Transactions on Reliability, vol. 68, no. 2, pp. 633-652, Jun. 2019. | Journal |
9 | Fangyun Qin, Zheng Zheng, Yu Qiao, Kishor S. Trivedi, “Studying aging-related bug prediction using cross-project models,” IEEE Transactions on Reliability, vol. 68, no. 3, pp.1134-1153, Sep. 2019. | Journal |
10 | Guanping Xiao, Zheng Zheng, Beibei Yin, Kishor S. Trivedi, Xiaoting Du, Kai-Yuan Cai, “An empirical study of fault triggers in the linux operating system: An Evolutionary Perspective,” IEEE Transactions on Reliability, vol. 68, no.4, pp. 1356-1383, Dec. 2019. | Journal |
11 | Mengyun Liu, Xin Li, Krishnendu Chakrabarty and Xinli Gu, “Knowledge transfer in board-level functional fault identification using domain adaptation,” International Test Conference, 10 Pages, 2019. | Conference |
12 | Renjian Pan, Zhaobo Zhang, Xin Li, Krishnendu Chakrabarty and Xinli Gu, “Black-box test-coverage analysis and test-cost reduction based on a Bayesian network model,” VLSI Test Symposium, 6 Pages, 2019. | Conference |
13 | Mengyun Liu, Fangming Ye, Xin Li, Krishnendu Chakrabarty and Xinli Gu, “Board-level functional fault identification using streaming data,” VLSI Test Symposium, 6 Pages, 2019. | Conference |
14 | Ganqu Cui, Wenjian Yu, Xin Li, Zhiyu Zeng and Ben Gu, “Machine-learning-driven matrix ordering for power grid simulation,” Design, Automation & Test in Europe, pp. 984-987, 2019. | Conference |
15 | Zexin Cai, Zhicheng Xu, Ming Li, “F0 contour estimation using phonetic feature in electrolaryngeal speech enhancement,” International Conference on Acoustics, Speech, and Signal Processing, 2019. | Conference |
16 | Weicheng Cai, Shen Huang and Ming Li, “Utterance-level end-to-end language identification using attention-based cnn-blstm,” International Conference on Acoustics, Speech, and Signal Processing, 2019. | Conference |
17 | Weicheng Cai, Haiwei Wu, Danwei Cai and Ming Li, “The DKU replay detection system for the ASVspoof 2019 challenge: on data augmentation, feature representation, classification, and fusion”, Interspeech, 2019. | Conference |
18 | Zexin Cai, Yaogen Yang, Chuxiong Zhang, Xiaoyi Qin and Ming Li, “Polyphone disambiguation for mandarin Chinese using conditional neural network with multi-level embedding featur”, Interspeech, 2019. | Conference |
19 | Haiwei Wu, Weiqing Wang and Ming Li, “The DKU-LENOVO Systems for the INTERSPEECH 2019 Computational Paralinguistic Challenge”, Interspeech, 2019. | Conference |
20 | Qingjian Lin, Ruiqing Yin, Ming Li, Hervé Bredin and Claude Barras, “LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization”, Interspeech, 2019. | Conference |
21 | Danwei Cai, Xiaoyi Qin, Weicheng Cai and Ming Li, “The DKU system for the speaker recognition task of the 2019 VOiCES from a distance challenge, classification, and fusion”, Interspeech, 2019. | Conference |
22 | Danwei Cai, Weicheng Cai and Ming Li, “The DKU-SMIIP system for NIST 2018 speaker recognition evaluation”, Interspeech, 2019. | Conference |
23 | Danwei Cai, Xiaoyi Qin and Ming Li, “Multi-channel training for end-to-end speaker recognition under reverberant and noisy environment”, Interspeech, 2019. | Conference |
24 | Xiaoyi Qin, Danwei Cai and Ming Li, “Far-field end-to-end text-dependent speaker verification based on mixed training data with transfer learning and enrollment data augmentation”, Interspeech, 2019. | Conference |
25 | Weiqing Wang and Ming Li, “Deep neural networks with batch speaker normalization for intoxicated speech detection,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019. | Conference |
26 | Chuxiong Zhang, Zexin Cai, Ming Li, Sheng Zhang and Haibing Zhong, “A prosodic mandarin text-to-speech system based on Tacotron,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019. | Conference |
27 | Sheng Sun, Wenbo Liu, Xiaobing Zou, and Ming Li, “Fixation based object recognition in Autism clinic setting,” International Conference on Intelligent Robotics and Applications, 2019. | Conference |
28 | Xiaohui Wan, Zheng Zheng, Fangyun Qin, Yu Qiao, Kishor S. Trivedi, “Supervised representation learning approach for cross-project aging-related bug prediction,” International Symposium on Software Reliability Engineering, 2019. | Conference |
1 | Vishwanath Venkata, Xin Li and Aswin Sankaranarayanan, “Cross-scale predictive dictionaries,” IEEE Trans. on Image Processing, vol. 28, no. 2, pp. 803-814, Feb. 2019. |
2 | Yang Liu, Xiaoming Chen, Dileep Kadambi, Ajinkya Bari, Xin Li, Shiyan Hu and Pingqiang Zhou, “Dependable visual light based indoor localization with automatic anomaly detection for location based service of mobile cyber-physical systems,” ACM Trans. on Cyber-Physical Systems, vol. 3, no. 1, Sep. 2018. |
3 | Mohamed Alawieh, Fa Wang and Xin Li, “Efficient hierarchical performance modeling for integrated circuits via Bayesian co-learning,” IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 37, no. 12, pp. 2986-2998, Dec. 2018. |
4 | Renjian Pan, Zhaobo Zhang, Xin Li, Krishnendu Chakrabarty and Xinli Gu, “Black-box test-coverage analysis and test-cost reduction based on a Bayesian network model,” IEEE VLSI Test Symposium, 2019. |
5 | Mengyun Liu, Fangming Ye, Xin Li, Krishnendu Chakrabarty and Xinli Gu, “Board-level functional fault identification using streaming data,” IEEE VLSI Test Symposium, 2019.1 |
6 | Ganqu Cui, Wenjian Yu, Xin Li, Zhiyu Zeng and Ben Gu, “Machine-learning-driven matrix ordering for power grid simulation,” IEEE/ACM Design, Automation & Test in Europe, 2019. |
7 | Mengyun Liu, Renjian Pan, Fangming Ye, Xin Li, Krishnendu Chakrabarty and Xinli Gu, “Fine-grained adaptive testing based on quality prediction,” IEEE International Test Conference, 2018. |
8 | Yang Liu and Xin Li, “Predictive modeling for advanced virtual metrology: a tree-based approach,” IEEE Emerging Technologies and Factory Automation, pp. 845-852, 2018. |
9 | Hassan Albalawi and Xin Li, “Single-channel real-time drowsiness detection based on electroencephalography,” Annual International Conference of IEEE Engineering in Medicine and Biology Society, pp. 98-101, 2018. |
10 | Zhicheng Li, Bin Hu, Ming Li, and Gengnan Luo, “String stability analysis for vehicle platooning under unreliable communication links with event-triggered strategy, ” IEEE Trans. on Vehicular Technology, vol. 68, no. 3, pp. 2152-2164, Mar. 2019. |
11 | Tianshu Wei, Xiaoming Chen, Xin Li and Qi Zhu, “Model-based and data-driven approaches for building automation and control,” IEEE/ACM International Conference on Computer-Aided Design, 2018. |
12 | Zexin Cai, Zhicheng Xu, Ming Li, “F0 contour estimation using phonetic feature in electrolaryngeal speech enhancement,” IEEE International Conference on Acoustics, Speech and Signal Processing, 2019. |
13 | Weicheng Cai, Shen Huang and Ming Li, “Utterance-level end-to-end language identification using attention-based CNN-BLSTM,” IEEE International Conference on Acoustics, Speech and Signal Processing, 2019. |
14 | Dengke Tang, Junlin Zeng and Ming Li, “An end-to-end deep learning framework for speech emotion recognition of atypical individuals,” Annual Conference of the International Speech Communication Association INTERSPEECH, 2018. |
15 | Weicheng Cai, Jinkun Chen and Ming Li, “Analysis of length normalization in end-to-end speaker verification system,” Annual Conference of the International Speech Communication Association INTERSPEECH, 2018. |
16 | Haiwei Wu and Ming Li, “Unsupervised query by example spoken term detection using features concatenated with self-organizing map distances,” International Symposium on Chinese Spoken Language Processing, 2018. |
17 | Zexin Cai, Xiaoyi Qin, Danwei Cai, Ming Li and Xinzhong Liu, “The DKU-JNU-EMA electromagnetic articulography database on mandarin and Chinese dialects with tandem feature based acoustic-to-articulatory inversion,” International Symposium on Chinese Spoken Language Processing, 2018. |
18 | Jinkun Chen, Weicheng Cai and Ming Li, “End-to-end language identification using NetFV and NetVLAD,” International Symposium on Chinese Spoken Language Processing, 2018. |
19 | Danwei Cai, Ming Li and Zexin Cai, “Deep speaker embeddings with convolutional neural network on supervector for text-independent speaker recognition,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018. |
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