Publications [Google Scholar]

Book

Book Chapters

  1. Kang Li, Sheng Li, and Yun Fu, Time Series Modeling for Activity Prediction, Human Activity Recognition and Prediction, Springer, 2016.
  2. Sheng Li, Liangyue Li, and Yun Fu, Low-Rank Dictionary Learning, Low-Rank and Sparse Modeling for Visual Analysis, Springer, 2014.
  3. Sheng Li, Ming Shao, and Yun Fu, Low-Rank Outlier Detection, Low-Rank and Sparse Modeling for Visual Analysis, Springer, 2014.

Journal Papers (1 IEEE TPAMI, 4 IEEE TNNLS, 3 IEEE TKDE, 2 IEEE TIP, 3 IEEE TCSVT, 2 ACM TKDD, 1 ACM TOMM, 1 IEEE TETCI, 1 DMKD, 1 NN )

  1. Sheng Li*, Zhiqiang Tao*, Kang Li, Yun Fu. Visual to Text: Survey of Image and Video Captioning. IEEE Trans. Emerging Topics in Computational Intelligence (T-ETCI), 2019. (* indicates equal contribution)
  2. Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, and Yun Fu. Marginalized Multi-View Ensemble Clustering. IEEE Trans. Neural Networks and Learning Systems (TNNLS), 2019.
  3. Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Shuicheng Yan, Meng Wang: Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. IEEE Trans. Knowledge and Data Engineering (T-KDE), 2019.
  4. Zhengming Li, Zheng Zhang, Jie Qin, Sheng Li, Hongmin Cai. Low-Rank Analysis–Synthesis Dictionary Learning with Adaptively Ordinal Locality. Neural Networks (NN), 2019.
  5. Fangyu Li, Jose Clemente, Maria Valero, Zion Tse, Sheng Li, WenZhan Song. Smart Home Monitoring System via Footstep Induced Vibrations. IEEE Systems Journal, 2019.
  6. Sheng Li, Ming Shao, Yun Fu: Person Re-identification by Cross-View Multi-Level Dictionary Learning. IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI), 2018. [Code]
  7. Sheng Li, Kang Li, Yun Fu: Self-Taught Low-Rank Coding for Visual Learning. IEEE Trans. Neural Networks and Learning Systems (T-NNLS), 29(3): 645-656, 2018. [Code]
  8. Sheng Li, Kang Li, Yun Fu: Early Recognition of 3D Human Actions. ACM Trans. Multimedia Computing Communications and Applications  (TOMM), 14(1s): 20:1-20:21, 2018.
  9. Sheng Li, Ming Shao, Yun Fu: Multi-View Low-Rank Analysis with Applications to Outlier Detection. ACM Trans. Knowledge Discovery from Data(TKDD), 12(3): 32:1-32:22, 2018. [Code]
  10. Hongfu Liu, Ming Shao, Sheng Li, Yun Fu: Infinite Ensemble Clustering. Data Mining and Knowledge Discovery (DMKD), 32(2): 385-416, 2018.
  11. Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu. Stacked Denoising Tensor Auto-Encoder for Action Recognition with Spatiotemporal Corruptions, IEEE Trans. Image Processing (T-IP), 27(4): 1878-1887, 2018.
  12. Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu: Robust Spectral Ensemble Clustering via Rank Minimization. ACM Trans. Knowledge Discovery from Data(TKDD), 2018.
  13. Yan Zhang, Zhao Zhang, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang, Shuicheng Yan: Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation. IEEE Trans. Knowledge and Data Engineering (T-KDE), 2018.
  14. Kai Li, Zhengming Ding, Sheng Li, Yun Fu: Towards Resolution-Invariant Person Re-identification via Projective Dictionary Learning. IEEE Trans. Neural Networks and Learning Systems (T-NNLS), 2018.
  15. Kang Li, Sheng Li, Sangmin Oh, Yun Fu. Videography based Unconstrained Video Analysis, IEEE Trans. Image Processing (T-IP), 26(5): 2261-2273, 2017.
  16. Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu: SLMOML: Online Metric Learning with Global Convergence, IEEE Trans. Circuits and Systems for Video Technology (T-CSVT), 2017.
  17. Sheng Li, Yun Fu: Learning Robust and Discriminative Subspace with Low-Rank Constraints. IEEE Trans. Neural Networks and Learning Systems (T-NNLS), 27(11): 2160-2173, 2016. [Code]
  18. Sheng Li, Yun Fu: Learning Balanced and Unbalanced Graphs via Low-Rank Coding. IEEE Trans. Knowledge and Data Engineering (T-KDE), 27(5): 1274-1287, 2015. [Code]
  19. Liangyue Li*, Sheng Li*, Yun Fu: Learning Low-Rank and Discriminative Dictionary for Image Classification. Image and Vision Computing (IVC), 32(10): 814-823, 2014. (* indicates equal contribution. Invited Paper) [Code]
  20. Ya Su, Sheng Li, Shengjin Wang, and Yun Fu, Submanifold Decomposition, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 24(11): 1885-1897, 2014.
  21. Xiao-Yuan Jing, Sheng Li, David Zhang, Jian Yang, Jing-Yu Yang: Supervised and Unsupervised Parallel Subspace Learning for Large-Scale Image Recognition. IEEE Transactions on Circuits System for Video Technology (T-CSVT), 22(10): 1497-1511, 2012.
  22. Xiao-Yuan Jing, Sheng Li, David Zhang, Chao Lan, Jingyu Yang: Optimal Subset-division based Discrimination and Its Kernelization for Face and Palmprint Recognition. Pattern Recognition (PR), 45(10): 3590-3602, 2012.
  23. Xiao-Yuan Jing, Sheng Li, Wen-Qian Li, etc. Palmprint and Face Multi-Modal Biometric Recognition based on SDA-GSVD and Its Kernelization. Sensors, 12(5), pp. 5551-5571, 2012.
  24. Xiao-Yuan Jing, Chao Lan, David Zhang, Jing-Yu Yang, Min Li, Sheng Li, Songhao Zhu: Face Feature Extraction and Recognition based on Discriminant Subclass-center Manifold Preserving Projection. Pattern Recognition Letters (PRL), 33(6), pp. 709-717, 2012.
  25. Xiao-Yuan Jing, Sheng Li, Chao Lan, David Zhang, Jingyu Yang, Qian Liu: Color Image Canonical Correlation Analysis for Face Feature Extraction and Recognition. Signal Processing (SP), 91(8): 2132-2140, 2011.
  26. Sheng Li, Xiao-Yuan Jing, Lu-Sha Bian, Shi-Qiang Gao, Qian Liu, Yong-Fang Yao: Facial Image Recognition Based on a Statistical Uncorrelated Near Class Discriminant Approach. IEICE Transactions on Information and Systems, 93-D(4): 934-937, 2010.
  27. Sheng Li, Yong-Fang Yao, Xiao-Yuan Jing, Heng Chang, Shi-Qiang Gao, David Zhang, Jing-Yu Yang: Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV. IEICE Transactions on Information and Systems, 92-D(12): 2527-2530, 2009.

Conference Papers (2 NIPS, 8 IJCAI, 4 AAAI, 3 SIGKDD, 3 CIKM, 3 ICDM, 3 SDM, 2 IEEE BigData, 2 SIGIR, 1 ICCV, 1 CVPR, 1 ECCV, 1 WSDM, 1 ACM MM, 1 COLING, 15+ IJCNN/FG/ICME/ICIP/ICPR/ICASSP)

  1. Xiaodong Jiang, Pengsheng Ji and Sheng Li. CensNet: Convolution with Edge-Node Switching in Graph Neural Networks. The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  2. Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang. On the Estimation of Treatment Effect with Text Covariates. The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  3. Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin. Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  4. Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao and Yun Fu. Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019. (Oral Presentation)
  5. Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim and Vipin Kumar. Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019.
  6. Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling. Scene Graph Generation with External Knowledge and Image Reconstruction. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  7. Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar. Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. SIAM International Conference on Data Mining (SDM), 2019.
  8. Zheng Zhang, Guosen Xie, Yang Li, Sheng Li and Zi Huang. SADIH: Semantic-Aware DIscrete Hashing. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019.
  9. Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan Rossi and Eunyee Koh. Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. The 12th ACM International Conference on Web Search and Data Mining (WSDM), 2019.
  10. Xueyu Mao, Saayan Mitra and Sheng Li. Training Streaming Factorization Machines with Alternating Least Squares. The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019.
  11. Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zhengjun Zha and Meng Wang. Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation. The 27th ACM International Conference on Multimedia (MM), 2019.
  12. Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao and Aidong Zhang. ACE: Adaptively Similarity-preserved Representation Learning for Individual Treatment Effect Estimation. IEEE International Conference on Data Mining (ICDM), 2019.
  13. Zhao Zhang, Lei Wang, Yang Wang, Sheng Li, Zheng Zhang, Zhengjun Zha, and Meng Wang. Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery. IEEE International Conference on Data Mining (ICDM), 2019.
  14. Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang and Shuicheng Yan. Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.
  15. Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, and Aidong Zhang. Representation Learning for Treatment Effect Estimation from Observational Data. The Thirty-second Annual Conference on Neural Information Processing Systems (NIPS), 2018. [Code]
  16. Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, and Yun Fu. Latent Discriminant Subspace Representations for Multi-view Outlier Detection. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.
  17. Kai Li, Zhengming Ding, Sheng Li, and Yun Fu. Discriminative Semi-coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.
  18. Shumin Jing, Sheng Li. Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018. (Poster)
  19. Zhengming Ding, Sheng Li, Ming Shao and Yun Fu. Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation. European Conference on Computer Vision (ECCV), 2018.
  20. Tuan Manh Lai, Trung Bui, Sheng Li. A Review on Deep Learning Techniques Applied to Answer Selection. The 27th International Conference on Computational Linguistics (COLING), 2018.
  21. Zhengming Ding, Ming Shao, Sheng Li and Yun Fu. Generic Embedded Semantic Dictionary for Robust Multi-label Classification. IEEE International Conference on Big Knowledge (ICBK), 2018.
  22. Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li. Supervised Transfer Learning for Product Information Question Answering. IEEE 17th International Conference on Machine Learning and Applications (ICMLA), 2018.
  23. Tuan Manh Lai, Trung Bui, Sheng Li, Nedim Lipka. A Simple End-to-End Question Answering Model for Product Information. ACL Workshop on Economics and Natural Language Processing (ECONLP), 2018.
  24. Zhao Zhang, Weiming Jiang, Sheng Li, Jie Qin, Guangcan Liu, Shuicheng Yan Robust Locality-Constrained Label Consistent KSVD by Joint Sparse Embedding. International Conference on Pattern Recognition (ICPR), 2018.
  25. Jiahuan Ren, Zhao Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan. Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning. International Conference on Pattern Recognition (ICPR), 2018.
  26. Huan Zhang, Zhao Zhang, Sheng Li, Qiaolin Ye, Mingbo Zhao, Meng Wang. Robust Adaptive Label Propagation by Double Matrix Decomposition. International Conference on Pattern Recognition (ICPR), 2018.
  27. Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou and Jie Qin. Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2018.
  28. Sheng Li, Yun Fu. Matching on Balanced Nonlinear Representations for Treatment Effects Estimation. The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS), 2017.
  29. Sheng Li, Yun Fu. Robust Multi-Label Semi-Supervised Classification. IEEE International Conference on Big Data (IEEE BigData), 2017.
  30. Sheng Li, Hongfu Liu, Zhiqiang Tao, and Yun Fu. Multi-View Graph Learning with Adaptive Label Propagation. IEEE International Conference on Big Data (IEEE BigData), 2017. [Code]
  31. Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, and Yun Fu. From Ensemble Clustering to Multi-View Clustering. The 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017.
  32. Sheng Li, Nikos Vlassis, Jaya Kawale and Yun Fu. Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns. The 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016.
  33. Sheng Li. Learning Robust Representations for Data Analytics.  The 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016. (Poster)
  34. Sheng Li, Yaliang Li and Yun Fu. Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach. The 25th ACM International Conference on Information and Knowledge Management (CIKM), 2016.
  35. Zhiqiang Tao, Hongfu Liu, Sheng Li and Yun Fu. Robust Spectral Ensemble Clustering. The 25th ACM International Conference on Information and Knowledge Management (CIKM), 2016.
  36. Hongfu Liu, Ming Shao, Sheng Li and Yun Fu. Infinite Ensemble for Image Clustering. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
  37. Sheng Li, Yun Fu. Unsupervised Transfer Learning via Low-Rank Coding for Image Clustering, International Joint Conference on Neural Networks (IJCNN), 2016. [Code]
  38. Guoqiang Zhong, Yan Zheng, Sheng Li and Yun Fu. Scalable Large Margin Online Metric Learning, International Joint Conference on Neural Networks (IJCNN), 2016.
  39. Sheng Li, Kang Li and Yun Fu. Temporal Subspace Clustering for Human Motion Segmentation, International Conference on Computer Vision (ICCV), 2015. [Code]
  40. Sheng Li, Ming Shao and Yun Fu. Cross-View Projective Dictionary Learning for Person Re-identification. International Joint Conference on Artificial Intelligence (IJCAI), 2015. [Code]
  41. Ming Shao, Sheng Li, Zhengming Ding and Yun Fu. Deep Linear Coding for Fast Graph Clustering. International Joint Conference on Artificial Intelligence (IJCAI), 2015.
  42. Sheng Li, Jaya Kawale and Yun Fu. Deep Collaborative Filtering via Marginalized Denoising Auto-encoder. The 24th ACM International Conference on Information and Knowledge Management (CIKM), 2015.
  43. Sheng Li, Jaya Kawale and Yun Fu. Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization, The 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2015.
  44. Sheng Li, Ming Shao and Yun Fu. Multi-view Low-Rank Analysis for Outlier Detection. SIAM International Conference on Data Mining (SDM), 2015. [Code]
  45. Sheng Li, Yun Fu, Robust Subspace Discovery through Supervised Low-Rank Constraints,  SIAM International Conference on Data Mining (SDM), 2014. (Best Paper Award) [Code]
  46. Kang Li, Sheng Li, and Yun Fu, Early Classification of Ongoing Observation,  IEEE International Conference on Data Mining (ICDM), 2014.
  47. Ming Shao, Sheng Li, Tongliang Liu, Dacheng Tao, Thomas S. Huang, and Yun Fu, Learning Relative Features Through Adaptive Pooling for Image Classification, IEEE International Conference on Multimedia and Expo (ICME), 2014. ( Best Paper Award Candidate)
  48. Sheng Li, Ming Shao, and Yun Fu, Locality Linear Fitting One-class SVM with Low-Rank Constraints for Outlier Detection, International Joint Conference on Neural Networks (IJCNN), 2014.
  49. Sheng Li, Yun Fu. Low-Rank Coding with b-Matching Constraint for Semi-supervised Classification, International Joint Conference on Artificial Intelligence (IJCAI), 2013. [Code]
  50. Liangyue Li, Sheng Li, and Yun Fu. Discriminative Dictionary Learning with Low-Rank Regularization for Face Recognition. The 10th IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2013. (Best Student Paper Honorable Mention Award) [Code]
  51. Sheng Li, Peng Li, and Yun Fu. Understanding 3D Human Torso Shape via Manifold Clustering. SPIE Defense, Security, and Sensing (DSS), 2013.
  52. Sheng Li, Xiao-Yuan Jing, David Zhang, Yong-Fang Yao, Lu-Sha Bian. A Novel Kernel Discriminant Feature Extraction Framework based on Mapped Virtual Samples for Face Recognition. IEEE International Conference on Image Processing (ICIP): 3005-3008, 2011.
  53. Xiao-Yuan Jing, Sheng Li, David Zhang, Jingyu Yang. Face Recognition based on Local Uncorrelated and Weighted Global Uncorrelated Discriminant Transforms. IEEE International Conference on Image Processing (ICIP): 3049-3052, 2011.
  54. Xiao-Yuan Jing, Sheng Li, David Zhang, Jiang-Yue Man and Jing-Yu Yang. Supervised Local Sparsity Preserving Projection for Face Feature Extraction, The First Asian Conference on Pattern Recognition (ACPR), pp. 555-559, 2011.
  55. Xiao-Yuan Jing, Sheng Li, Yongfang Yao, etc.. Multi-Modal Biometric Feature Extraction and Recognition Based on Subclass Discriminant Analysis (SDA) and Generalized Singular Value Decomposition (GSVD). International Conference on Hand-Based Biometrics (ICHB), 2011.
  56. Xiao-Yuan Jing, Sheng Li, Yong-Fang Yao, Lu-Sha Bian, Jingyu Yang. Kernel Uncorrelated Adjacent-class Discriminant Analysis. International Conference on Pattern Recognition (ICPR): 706-709, 2010.
  57. Chao Lan, Xiao-yuan Jing, Sheng Li, Lu-Sha Bian, Yong-Fang Yao. Exploring the Natural Discriminative Information of Sparse Representation for Feature Extraction. The 3rd International Congress on Image and Signal Processing (CISP): 916-920, 2010.
  58. Xiao-Yuan Jing, Qian Liu, Chao Lan, Jiangyue Man, Sheng Li, David Zhang. Holistic Orthogonal Analysis of Discriminant Transforms for Color Face Recognition. IEEE International Conference on Image Processing (ICIP): 3841-3844, 2010.
  59. Sheng Li, Xiao-Yuan Jing, Qian Liu, etc.. Kernel-Plural Discriminant Analysis Based on Fourier Transform and Its Application to Face Recognition.  Chinese Conference on Pattern Recognition (CCPR): 503-507, 2009. (in Chinese)