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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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