Reasoning and Knowledge Discovery (RISE) Lab
Reasoning and Knowledge Discovery (RISE) Lab
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Conference paper
Journal article
Date
2023
2022
2021
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2015
Phosformer: An explainable Transformer model for protein kinase-specific phosphorylation predictions
Zhongliang Zhou
,
Wayland Yeung*
,
Nathan Gravel
,
Mariah Salcedo
,
Saber Soleymani
,
Sheng Li
,
and Natarajan Kannan
Fair Attribute Completion on Graph with Missing Attributes
Dongliang Guo
,
Zhixuan Chu
,
and Sheng Li
Better Generative Replay for Continual Federated Learning
Daiqing Qi
,
Handong Zhao
,
and Sheng Li
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
Ronghang Zhu
,
Xiang Yu
,
and Sheng Li
Estimating Propensity Scores with Deep Adaptive Variable Selection
Zhixuan Chu
,
Mechelle Claridy
,
Jose Cordero
,
Sheng Li
,
and Stephen Rathbun
XDC: Adaptive Cross Domain Short Text Clustering
Saed Rezayi
,
Handong Zhao
,
Ronghang Zhu
,
and Sheng Li
Continual Causal Inference with Incremental Observational Data
Zhixuan Chu
,
Ruopeng Li
,
Stephen Rathbun
,
and Sheng Li
Tree Visualizations of Protein Sequence Embedding Space Enable Improved Functional Clustering of Diverse Protein Superfamilies
Wayland Yeung*
,
Zhongliang Zhou
,
Liju Mathew
,
Nathan Gravel
,
Rahil Taujale
,
Brady O’Boyle
,
Mariah Salcedo
,
Aarya Venkat
,
William Lanzilotta
,
Sheng Li
,
and Natarajan Kannan
Alignment-Free Estimation of Sequence Conservation for Identifying Functional Sites Using Protein Sequence Embeddings
Wayland Yeung*
,
Zhongliang Zhou
,
Sheng Li
,
and Natarajan Kannan
Continual Causal Inference: Challenges and Opportunities
Zhixuan Chu and Sheng Li
Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification
Zhongliang Zhou
,
Nathaniel Hitt
,
Benjamin Letcher
,
Weili Shi
,
and Sheng Li
Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training
Weili Shi and Sheng Li
Unbiasing Scene Graph Generation with Explicit Ontological Adjustment
Zhanwen Chen
,
Saed Rezayi
,
Sheng Li
Concept-Level Model Interpretation from the Causal Aspect
Liuyi Yao
,
Yaliang Li
,
Sheng Li
,
Jinduo Liu
,
Mengdi Huai
,
Aidong Zhang
,
and Jing Gao
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect
Zhixuan Chu
,
Hui Ding
,
Guang Zeng
,
Yuchen Huang
,
Tan Yan
,
Yulin Kang and Sheng Li
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition
Saed Rezayi
,
Haixing Dai
,
Zhengliang Liu
,
Zihao Wu
,
Akarsh Hebbar
,
Andrew H. Burns
,
Lin Zhao
,
Dajiang Zhu
,
Xiang Li
,
Quanzheng Li
,
Wei Liu
,
Sheng Li
,
Tianming Liu
Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation
Weili Shi
,
Ronghang Zhu
,
and Sheng Li
Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation
Ronghang Zhu and Sheng Li
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Observational Data
Collaborative Attention Mechanism for Multi-Modal Time Series Classification
Yue Bai
,
Zhiqiang Tao
,
Lichen Wang
,
Sheng Li
,
Yu Yin
,
and Yun Fu
AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition
Saed Rezayi
,
Zhengliang Liu
,
Zihao Wu
,
Chandra Dhakal
,
Bao Ge
,
Chen Zhen
,
Tianming Liu
,
and Sheng Li
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials
Zhixuan Chu
,
Stephen Rathbun and Sheng Li
Adversarial Adaptive Cross Domain Face Clustering
Saed Rezayi
,
Handong Zhao
,
Sheng Li
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization
Ronghang Zhu and Sheng Li
Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation
Ronghang Zhu
,
Xiaodong Jiang
,
Jiasen Lu
,
Sheng Li
Self-supervised Universal Domain Adaptation with Adaptive Memory Separation
Ronghang Zhu
,
Sheng Li
An Application in Modeling Lake and River Systems
Xiaowei Jia
,
Yiqun Xie
,
Sheng Li
,
Shengyu Chen
,
Jacob Zwart
,
Jeffrey Sadler
,
Alison Appling
,
Samantha Oliver
,
and Jordan Read
A Framework for Knowledge-Derived Query Suggestions
Saed Rezayi
,
Nedim Lipka
,
Vishwa Vinay
,
Ryan A
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data
Zhixuan Chu
,
Stephen Rathbun
,
Sheng Li
Mapping the glycosyltransferase fold landscape using interpretable deep learning
Rahil Taujale
,
Zhongliang Zhou
,
Wayland Yeung*
,
Kelley Moremen
,
Sheng Li
,
Natarajan Kannan
Automated Graph Learning via Population Based Self-Tuning GCN
Ronghang Zhu
,
Zhiqiang Tao
,
Yaliang Li
,
Sheng Li
2.5D Pose Guided Human Image Generation
Kang Yuan
,
Sheng Li
Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers
Sumer Singh
,
Sheng Li
Enriching Knowledge Graph Embeddings with External Text
Saed Rezayi
,
Handong Zhao
,
Sungchul Kim
,
Ryan Rossi
,
Nedim Lipka
,
Sheng Li
Correlative Channel-Aware Fusion for Multi-View Time Series Classification
Yue Bai
,
Lichen Wang
,
Zhiqiang Tao
,
Sheng Li
,
Yun Fu
Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation
Liuyi Yao
,
Yaliang Li
,
Sheng Li
,
Mengdi Huai
,
Jing Gao
,
Aidong Zhang
Transferable Feature Learning on Graphs Across Visual Domains
Ronghang Zhu
,
Xiaodong Jiang
,
Jiasen Lu
,
Sheng Li
Socially Aware Multimodal Deep Neural Networks for Fake News Classification
Saed Rezayi
,
Saber Soleymani
,
Hamid R
,
Sheng Li
Knowledge-Guided Article Embedding Refinement for Session-based News Recommendation
Heng Shiou Sheu
,
Zhixuan Chu
,
Daiqing Qi
,
Sheng Li
A Survey on Causal Inference
Liuyi Yao
,
Zhixuan Chu
,
Sheng Li
,
Yaliang Li
,
Jing Gao
,
Aidong Zhang
Quantitative Structure–Mutation–Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction
Liang‑Chin Huang
,
Wayland Yeung*
,
Ye Wang
,
Huimin Cheng
,
Aarya Venkat
,
Sheng Li
,
Ping Ma
,
KhaledRasheed
,
Natarajan Kannan
Learning Discriminative Virtual Sequences for Time Series Classification
Abhilash Dorle
,
Fangyu Li
,
WenZhan Song
,
Sheng Li
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation
Zhixuan Chu
,
Stephen Rathbun
,
Sheng Li
Context-aware Graph Embedding for Session-based News Recommendation
Heng Shiou Sheu
,
Sheng Li
Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases
Rahil Taujale
,
Aarya Venkat
,
Liang-Chin Huang
,
Zhongliang Zhou
,
Wayland Yeung*
,
Khaled M Rasheed
,
ShengLi
,
Arthur S Edison
,
Kelley W Moremen
,
Natarajan Kannan
Co-embedding of Nodes and Edges with Graph Neural Networks
Xiaodong Jiang
,
Ronghang Zhu
,
Pengsheng Ji
,
Sheng Li
Causal Inference Meets Machine Learning
Peng Cui
,
Zheyan Shen
,
Sheng Li
,
Liuyi Yao
,
Yaliang Li
,
Zhixuan Chu
,
Jing Gao
A Survey on Representation Learning for User Modeling
Sheng Li
,
Handong Zhao
Adaptively Similarity-preserved Representation Learning for Individual Treatment Effect Estimation
Liuyi Yao
,
Sheng Li
,
Yaliang Li
,
Mengdi Huai
,
Jing Gao
,
Aidong Zhang
Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery
Zhao Zhang
,
Lei Wang
,
Yang Wang
,
Sheng Li
,
Zheng Zhang
,
Zhengjun Zha
,
Meng Wang
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space
Jiahuan Ren
,
Zhao Zhang
,
Sheng Li
,
Yang Wang
,
Guangcan Liu
,
Shuicheng Yan
,
Meng Wang
Low-Rank Analysis–Synthesis Dictionary Learning with Adaptively Ordinal Locality
Zhengming Li
,
Zheng Zhang
,
Jie Qin
,
Sheng Li
,
Hongmin Cai
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation
Zhao Zhang
,
Jiahuan Ren
,
Sheng Li
,
Richang Hong
,
Zhengjun Zha
,
Meng Wang
Witness Detection in Multi-Instance Regression and Its Application for Age Estimation
Jianyi Liu
,
Rui Qiao
,
Yueying Li
,
Sheng Li
Smart Home Monitoring System via Footstep Induced Vibrations
Fangyu Li
,
Jose Clemente
,
Maria Valero
,
Zion Tse
,
Sheng Li
,
WenZhan Song
Flexible Auto-weighted Local-coordinate Concept Factorization
Zhao Zhang
,
Yan Zhang
,
Sheng Li
,
Guangcan Liu
,
Shuicheng Yan
,
Meng Wang
Training Streaming Factorization Machines with Alternating Least Squares
Xueyu Mao
,
Saayan Mitra
,
Sheng Li
SADIH: Semantic-Aware DIscrete Hashing
Zheng Zhang
,
Guosen Xie
,
Yang Li
,
Sheng Li
,
Zi Huang
Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering
Zhao Zhang
,
Yan Zhang
,
Sheng Li
,
Guangcan Liu
,
Meng Wang
,
Shuicheng Yan
Convolution with Edge-Node Switching in Graph Neural Networks
Xiaodong Jiang
,
Pengsheng Ji
,
Sheng Li
On the Estimation of Treatment Effect with Text Covariates
Liuyi Yao
,
Sheng Li
,
Yaliang Li
,
Hongfei Xue
,
Jing Gao
,
Aidong Zhang
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning
Zhao Zhang
,
Weiming Jiang
,
Zheng Zhang
,
Sheng Li
,
Guangcan Liu
,
Jie Qin
Towards Interpretable User Modeling via Recurrent Semantics Memory Unit
Zhiqiang Tao
,
Sheng Li
,
Zhaowen Wang
,
Chen Fang
,
Longqi Yang
,
Handong Zhao
,
Yun Fu
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?
Xiaowei Jia
,
Sheng Li
,
Handong Zhao
,
Sungchul Kim
,
Vipin Kumar
Marginalized Multi-View Ensemble Clustering
Zhiqiang Tao
,
Hongfu Liu
,
Sheng Li
,
Zhengming Ding
,
Yun Fu
Scene Graph Generation with External Knowledge and Image Reconstruction
Jiuxiang Gu
,
Handong Zhao
,
Zhe Lin
,
Sheng Li
,
Jianfei Cai
,
Mingyang Ling
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior
Donghyun Kim
,
Sungchul Kim
,
Handong Zhao
,
Sheng Li
,
Ryan Rossi
,
Eunyee Koh
Survey of Image and Video Captioning
Sheng Li
,
Zhiqiang Tao
,
Kang Li
,
Yun Fu
Robust Spectral Ensemble Clustering via Rank Minimization
Zhiqiang Tao
,
Hongfu Liu
,
Sheng Li
,
Zhengming Ding
,
Yun Fu
Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection
Xiaowei Jia
,
Sheng Li
,
Ankush Khandelwal
,
Guruprasad Nayak
,
Anuj Karpatne
,
Vipin Kumar
Supervised Transfer Learning for Product Information Question Answering
Tuan Manh Lai
,
Trung Bui
,
Nedim Lipka
,
Sheng Li
Generic Embedded Semantic Dictionary for Robust Multi-label Classification
Zhengming Ding
,
Ming Shao
,
Sheng Li
,
Yun Fu
Towards Resolution-Invariant Person Re-identification via Projective Dictionary Learning
Kai Li
,
Zhengming Ding
,
Sheng Li
,
Yun Fu
Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation
Yan Zhang
,
Zhao Zhang
,
Sheng Li
,
Jie Qin
,
Guangcan Liu
,
Meng Wang
,
Shuicheng Yan
Representation Learning for Treatment Effect Estimation from Observational Data
Liuyi Yao
,
Sheng Li
,
Yaliang Li
,
Mengdi Huai
,
Jing Gao
,
Aidong Zhang
Robust Locality-Constrained Label Consistent KSVD by Joint Sparse Embedding
Zhao Zhang
,
Weiming Jiang
,
Sheng Li
,
Jie Qin
,
Guangcan Liu
,
Shuicheng Yan
Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning
Jiahuan Ren
,
Zhao Zhang
,
Sheng Li
,
Guangcan Liu
,
Meng Wang
,
Shuicheng Yan
Robust Adaptive Label Propagation by Double Matrix Decomposition
Huan Zhang
,
Zhao Zhang
,
Sheng Li
,
Qiaolin Ye
,
Mingbo Zhao
,
Meng Wang
A Review on Deep Learning Techniques Applied to Answer Selection
Tuan Manh Lai
,
Trung Bui
,
Sheng Li
Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation
Lei Wang
,
Zhao Zhang
,
Sheng Li
,
Guangcan Liu
,
Chenping Hou
,
Jie Qin
A Simple End-to-End Question Answering Model for Product Information
Tuan Manh Lai
,
Trung Bui
,
Sheng Li
,
Nedim Lipka
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation
Zhengming Ding
,
Sheng Li
,
Ming Shao
,
Yun Fu
Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests
Shumin Jing
,
Sheng Li
Discriminative Semi-coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification
Kai Li
,
Zhengming Ding
,
Sheng Li
,
Yun Fu
Latent Discriminant Subspace Representations for Multi-view Outlier Detection
Kai Li
,
Sheng Li
,
Zhengming Ding
,
Weidong Zhang
,
Yun Fu
Early Recognition of 3D Human Actions
Sheng Li
,
Kang Li
,
Yun Fu
Multi-View Low-Rank Analysis with Applications to Outlier Detection
Sheng Li
,
Ming Shao
,
Yun Fu
Robust Multi-Label Semi-Supervised Classification
Sheng Li
,
Yun Fu
Multi-View Graph Learning with Adaptive Label Propagation
Sheng Li
,
Hongfu Liu
,
Zhiqiang Tao
,
Yun Fu
Stacked Denoising Tensor Auto-Encoder for Action Recognition with Spatiotemporal Corruptions
Chengcheng Jia
,
Ming Shao
,
Sheng Li
,
Handong Zhao
,
Yun Fu
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation
Sheng Li
,
Yun Fu
Person Re-identification by Cross-View Multi-Level Dictionary Learning
Sheng Li
,
Ming Shao
,
Yun Fu
From Ensemble Clustering to Multi-View Clustering
Zhiqiang Tao
,
Hongfu Liu
,
Sheng Li
,
Zhengming Ding
,
Yun Fu
Infinite Ensemble Clustering
Hongfu Liu
,
Ming Shao
,
Sheng Li
,
Yun Fu
SLMOML: Online Metric Learning with Global Convergence
Guoqiang Zhong
,
Yan Zheng
,
Sheng Li
,
Yun Fu
Videography-Based Unconstrained Video Analysis
Kang Li
,
Sheng Li
,
Sangmin Oh
,
Yun Fu
Self-Taught Low-Rank Coding for Visual Learning
Sheng Li
,
Kang Li
,
Yun Fu
Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach
Sheng Li
,
Yaliang Li
,
Yun Fu
Robust Spectral Ensemble Clustering
Zhiqiang Tao
,
Hongfu Liu
,
Sheng Li
,
Yun Fu
Infinite Ensemble for Image Clustering
Hongfu Liu
,
Ming Shao
,
Sheng Li
,
Yun Fu
Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns
Sheng Li
,
Nikos Vlassis
,
Jaya Kawale
,
Yun Fu
Learning Robust Representations for Data Analytics
Sheng Li
Learning Robust and Discriminative Subspace with Low-Rank Constraints
Sheng Li
,
Yun Fu
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