Reasoning and Knowledge Discovery (RISE) Lab
Reasoning and Knowledge Discovery (RISE) Lab
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Conference paper
Journal article
Date
2022
2021
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2016
2015
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).
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