Publications

Saed Rezayi, Handong Zhao, Sheng Li (2022). Adversarial Adaptive Cross Domain Face Clustering. The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI).

Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li (2021). Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation. IEEE Trans. Neural Networks and Learning Systems (TNNLS).

Ronghang Zhu, Sheng Li (2021). Self-supervised Universal Domain Adaptation with Adaptive Memory Separation. IEEE International Conference on Data Mining (IEEE ICDM).

Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey Sadler, Alison Appling, Samantha Oliver, and Jordan Read (2021). An Application in Modeling Lake and River Systems. IEEE International Conference on Data Mining (IEEE ICDM).

Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A (2021). A Framework for Knowledge-Derived Query Suggestions. IEEE International Conference on Big Data (IEEE BigData).

Zhixuan Chu, Stephen Rathbun, Sheng Li (2021). Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD).

Rahil Taujale, Zhongliang Zhou, Wayland Yeung, Kelley Moremen, Sheng Li, Natarajan Kannan (2021). Mapping the glycosyltransferase fold landscape using interpretable deep learning. Nature Communications.

Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li (2021). Automated Graph Learning via Population Based Self-Tuning GCN. The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR).

Kang Yuan, Sheng Li (2021). 2.5D Pose Guided Human Image Generation. ACM International Conference on Multimedia Retrieval (ACM ICMR).

Sumer Singh, Sheng Li (2021). Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers. ACL Workshop on Online Abuse and Harms (ACL-WOAH).

Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan Rossi, Nedim Lipka, Sheng Li (2021). Enriching Knowledge Graph Embeddings with External Text. The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).

Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu (2021). Correlative Channel-Aware Fusion for Multi-View Time Series Classification. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI).

Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang (2021). Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. The 30th ACM International Conference on Information and Knowledge Management (ACM CIKM).

Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li (2021). Transferable Feature Learning on Graphs Across Visual Domains. IEEE International Conference on Multimedia and Expo (IEEE ICME).

Saed Rezayi, Saber Soleymani, Hamid R, Sheng Li (2021). Socially Aware Multimodal Deep Neural Networks for Fake News Classification. IEEE 4th International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR).

Heng Shiou Sheu, Zhixuan Chu, Daiqing Qi, Sheng Li (2021). Knowledge-Guided Article Embedding Refinement for Session-based News Recommendation. IEEE Trans. Neural Networks and Learning Systems (TNNLS).

Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang (2020). A Survey on Causal Inference. ACM Trans. Knowledge Discovery from Data (TKDD).

Liang‑Chin Huang, Wayland Yeung, Ye Wang, Huimin Cheng, Aarya Venkat, Sheng Li, Ping Ma, KhaledRasheed, Natarajan Kannan (2020). Quantitative Structure–Mutation–Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction. BMC Bioinformatics.

Abhilash Dorle, Fangyu Li, WenZhan Song, Sheng Li (2020). Learning Discriminative Virtual Sequences for Time Series Classification. The 29th ACM International Conference on Information and Knowledge Management (ACM CIKM).

Zhixuan Chu, Stephen Rathbun, Sheng Li (2020). Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. The 29th ACM International Conference on Information and Knowledge Management (ACM CIKM).

Heng Shiou Sheu, Sheng Li (2020). Context-aware Graph Embedding for Session-based News Recommendation. The 14th ACM Conference on Recommender Systems (ACM RecSys).

Rahil Taujale, Aarya Venkat, Liang-Chin Huang, Zhongliang Zhou, Wayland Yeung, Khaled M Rasheed, ShengLi, Arthur S Edison, Kelley W Moremen, Natarajan Kannan (2020). Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases. eLife.

Xiaodong Jiang, Ronghang Zhu, Pengsheng Ji, Sheng Li (2020). Co-embedding of Nodes and Edges with Graph Neural Networks. IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI).

Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao (2020). Causal Inference Meets Machine Learning. The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD).

Sheng Li, Handong Zhao (2020). A Survey on Representation Learning for User Modeling. The 29th International Joint Conference on Artificial Intelligence (IJCAI).

Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang (2020). Adaptively Similarity-preserved Representation Learning for Individual Treatment Effect Estimation. IEEE International Conference on Data Mining (IEEE ICDM).

Zhao Zhang, Lei Wang, Yang Wang, Sheng Li, Zheng Zhang, Zhengjun Zha, Meng Wang (2020). Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery. IEEE International Conference on Data Mining (IEEE ICDM).

Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang (2020). Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. IEEE Trans. Image Processing (T-IP).

Zhengming Li, Zheng Zhang, Jie Qin, Sheng Li, Hongmin Cai (2019). Low-Rank Analysis–Synthesis Dictionary Learning with Adaptively Ordinal Locality. Neural Networks (NN).

Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zhengjun Zha, Meng Wang (2019). Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation. The 27th ACM International Conference on Multimedia (ACM MM).

Jianyi Liu, Rui Qiao, Yueying Li, Sheng Li (2019). Witness Detection in Multi-Instance Regression and Its Application for Age Estimation. Multimedia Tools and Applications (MTA).

Fangyu Li, Jose Clemente, Maria Valero, Zion Tse, Sheng Li, WenZhan Song (2019). Smart Home Monitoring System via Footstep Induced Vibrations. IEEE Systems Journal.

Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Shuicheng Yan, Meng Wang (2019). Flexible Auto-weighted Local-coordinate Concept Factorization. IEEE Trans. Knowledge and Data Engineering (T-KDE).

Xueyu Mao, Saayan Mitra, Sheng Li (2019). Training Streaming Factorization Machines with Alternating Least Squares. The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR).

Zheng Zhang, Guosen Xie, Yang Li, Sheng Li, Zi Huang (2019). SADIH: Semantic-Aware DIscrete Hashing. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI).

Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan (2019). Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering. IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP).

Xiaodong Jiang, Pengsheng Ji, Sheng Li (2019). Convolution with Edge-Node Switching in Graph Neural Networks. The 28th International Joint Conference on Artificial Intelligence (IJCAI).

Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang (2019). On the Estimation of Treatment Effect with Text Covariates. The 28th International Joint Conference on Artificial Intelligence (IJCAI).

Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin (2019). Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. The 28th International Joint Conference on Artificial Intelligence (IJCAI).

Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu (2019). Towards Interpretable User Modeling via Recurrent Semantics Memory Unit. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD).

Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar (2019). 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 (SIGKDD).

Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu (2019). Marginalized Multi-View Ensemble Clustering. IEEE Trans. Neural Networks and Learning Systems (TNNLS).

Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling (2019). Scene Graph Generation with External Knowledge and Image Reconstruction. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan Rossi, Eunyee Koh (2019). 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).

Sheng Li, Zhiqiang Tao, Kang Li, Yun Fu (2019). Survey of Image and Video Captioning. IEEE Trans. Emerging Topics in Computational Intelligence (T-ETCI).

Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu (2019). Robust Spectral Ensemble Clustering via Rank Minimization. ACM Trans. Knowledge Discovery from Data(TKDD).

Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar (2018). Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. SIAM International Conference on Data Mining (SDM).

Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li (2018). Supervised Transfer Learning for Product Information Question Answering. IEEE 17th International Conference on Machine Learning and Applications (ICMLA).

Zhengming Ding, Ming Shao, Sheng Li, Yun Fu (2018). Generic Embedded Semantic Dictionary for Robust Multi-label Classification. IEEE International Conference on Big Knowledge (ICBK).

Kai Li, Zhengming Ding, Sheng Li, Yun Fu (2018). Towards Resolution-Invariant Person Re-identification via Projective Dictionary Learning. IEEE Trans. Neural Networks and Learning Systems (T-NNLS).

Yan Zhang, Zhao Zhang, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang, Shuicheng Yan (2018). Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation. IEEE Trans. Knowledge and Data Engineering (T-KDE).

Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang (2018). Representation Learning for Treatment Effect Estimation from Observational Data. The Thirty-second Annual Conference on Neural Information Processing Systems (NeurIPS).

Zhao Zhang, Weiming Jiang, Sheng Li, Jie Qin, Guangcan Liu, Shuicheng Yan (2018). Robust Locality-Constrained Label Consistent KSVD by Joint Sparse Embedding. International Conference on Pattern Recognition (ICPR).

Jiahuan Ren, Zhao Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan (2018). Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning. International Conference on Pattern Recognition (ICPR).

Huan Zhang, Zhao Zhang, Sheng Li, Qiaolin Ye, Mingbo Zhao, Meng Wang (2018). Robust Adaptive Label Propagation by Double Matrix Decomposition. International Conference on Pattern Recognition (ICPR).

Tuan Manh Lai, Trung Bui, Sheng Li (2018). A Review on Deep Learning Techniques Applied to Answer Selection. The 27th International Conference on Computational Linguistics (COLING).

Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin (2018). Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI).

Tuan Manh Lai, Trung Bui, Sheng Li, Nedim Lipka (2018). A Simple End-to-End Question Answering Model for Product Information. ACL Workshop on Economics and Natural Language Processing (ECONLP).

Zhengming Ding, Sheng Li, Ming Shao, Yun Fu (2018). Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation. European Conference on Computer Vision (ECCV).

Shumin Jing, Sheng Li (2018). Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI).

Kai Li, Zhengming Ding, Sheng Li, Yun Fu (2018). Discriminative Semi-coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI).

Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu (2018). Latent Discriminant Subspace Representations for Multi-view Outlier Detection. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI).

Sheng Li, Kang Li, Yun Fu (2018). Early Recognition of 3D Human Actions. ACM Trans. Multimedia Computing Communications and Applications.

Sheng Li, Ming Shao, Yun Fu (2018). Multi-View Low-Rank Analysis with Applications to Outlier Detection. ACM Trans. Knowledge Discovery from Data (TKDD).

Sheng Li, Yun Fu (2017). Robust Multi-Label Semi-Supervised Classification. IEEE International Conference on Big Data (IEEE BigData).

Sheng Li, Hongfu Liu, Zhiqiang Tao, Yun Fu (2017). Multi-View Graph Learning with Adaptive Label Propagation. IEEE International Conference on Big Data (IEEE BigData).

Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu (2017). Stacked Denoising Tensor Auto-Encoder for Action Recognition with Spatiotemporal Corruptions. IEEE Trans. Image Processing (T-IP).

Sheng Li, Yun Fu (2017). Matching on Balanced Nonlinear Representations for Treatment Effects Estimation. The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS).

Sheng Li, Ming Shao, Yun Fu (2017). Person Re-identification by Cross-View Multi-Level Dictionary Learning. IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI).

Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu (2017). From Ensemble Clustering to Multi-View Clustering. The 26th International Joint Conference on Artificial Intelligence (IJCAI).

Hongfu Liu, Ming Shao, Sheng Li, Yun Fu (2017). Infinite Ensemble Clustering. Data Mining and Knowledge Discovery (DMKD).

Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu (2017). SLMOML: Online Metric Learning with Global Convergence. IEEE Trans. Circuits and Systems for Video Technology (T-CSVT).

Kang Li, Sheng Li, Sangmin Oh, Yun Fu (2017). Videography-Based Unconstrained Video Analysis. IEEE Trans. Image Processing (T-IP).

Sheng Li, Kang Li, Yun Fu (2017). Self-Taught Low-Rank Coding for Visual Learning. IEEE Trans. Neural Networks and Learning Systems (T-NNLS).

Sheng Li, Yaliang Li, Yun Fu (2016). Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach. The 25th ACM International Conference on Information and Knowledge Management (ACM CIKM).

Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu (2016). Robust Spectral Ensemble Clustering. The 25th ACM International Conference on Information and Knowledge Management (ACM CIKM).

Hongfu Liu, Ming Shao, Sheng Li, Yun Fu (2016). Infinite Ensemble for Image Clustering. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).

Sheng Li, Nikos Vlassis, Jaya Kawale, Yun Fu (2016). Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns. The 25th International Joint Conference on Artificial Intelligence (IJCAI).

Sheng Li (2016). Learning Robust Representations for Data Analytics. The 25th International Joint Conference on Artificial Intelligence (IJCAI).

Sheng Li, Yun Fu (2015). Learning Robust and Discriminative Subspace with Low-Rank Constraints. IEEE Trans. Neural Networks and Learning Systems (T-NNLS).