Face Recognition Based on a Gabor-2DFisherface Approach with Selecting 2D Gabor Principal Components and Discriminant Vectors. - Xiao-Yuan Jing; Heng Chang; Sheng Li 001; Yong-Fang Yao; Qian Liu 010; Lu-Sha Bian; Jiang-Yue Man; Chao Wang (WGEC, 2009)

A Regularized Nonlinear Discrimination Approach. - Xiao-Yuan Jing; Shou Gao; Yong-Fang Yao; Sheng Li 001; Shi-Qiang Gao; Shu Wu; Feng-Nan Yu; Yong-Chuan Zhang (WGEC, 2009)

Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV. - Sheng Li 001; Yong-Fang Yao; Xiao-Yuan Jing; Heng Chang; Shi-Qiang Gao; David Zhang 001; Jing-Yu Yang 001 (IEICE Trans. Inf. Syst., 2009)

Holistic orthogonal analysis of discriminant transforms for color face recognition. - Xiao-Yuan Jing; Qian Liu 010; Chao Lan; Jiang-Yue Man; Sheng Li 001; David Zhang 001 (ICIP, 2010)

Kernel Uncorrelated Adjacent-class Discriminant Analysis. - Xiao-Yuan Jing; Sheng Li 001; Yong-Fang Yao; Lu-Sha Bian; Jingyu Yang 001 (ICPR, 2010)

Facial Image Recognition Based on a Statistical Uncorrelated Near Class Discriminant Approach. - Sheng Li 001; Xiao-Yuan Jing; Lu-Sha Bian; Shi-Qiang Gao; Qian Liu 010; Yong-Fang Yao (IEICE Trans. Inf. Syst., 2010)

Supervised local sparsity preserving projection for face feature extraction. - Xiao-Yuan Jing; Sheng Li 001; Songhao Zhu; Qian Liu 010; Jingyu Yang 001; Jiasen Lu (ACPR, 2011)

Face recognition based on local uncorrelated and weighted global uncorrelated discriminant transforms. - Xiao-Yuan Jing; Sheng Li 001; David Zhang 001; Jingyu Yang 001 (ICIP, 2011)

A novel kernel discriminant feature extraction framework based on mapped virtual samples for face recognition. - Sheng Li 001; Xiao-Yuan Jing; David Zhang 001; Yong-Fang Yao; Lu-Sha Bian (ICIP, 2011)

Color image canonical correlation analysis for face feature extraction and recognition. - Xiao-Yuan Jing; Sheng Li 001; Chao Lan; David Zhang 001; Jingyu Yang 001; Qian Liu 010 (Signal Process., 2011)

Optimal subset-division based discrimination and its kernelization for face and palmprint recognition. - Xiao-Yuan Jing; Sheng Li 001; David Zhang 001; Chao Lan; Jingyu Yang 001 (Pattern Recognit., 2012)

Face feature extraction and recognition based on discriminant subclass-center manifold preserving projection. - Xiao-Yuan Jing; Chao Lan; David Zhang 001; Jing-Yu Yang 001; Min Li; Sheng Li 001; Songhao Zhu (Pattern Recognit. Lett., 2012)

Palmprint and Face Multi-Modal Biometric Recognition Based on SDA-GSVD and Its Kernelization. - Xiao-Yuan Jing; Sheng Li 001; Wen-Qian Li; Yong-Fang Yao; Chao Lan; Jiasen Lu; Jing-Yu Yang 001 (Sensors, 2012)

Supervised and Unsupervised Parallel Subspace Learning for Large-Scale Image Recognition. - Xiao-Yuan Jing; Sheng Li 001; David Zhang 001; Jian Yang 003; Jing-Yu Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2012)

Discriminative dictionary learning with low-rank regularization for face recognition. - Liangyue Li; Sheng Li 001; Yun Fu 001 (FG, 2013)

Low-Rank Coding with b-Matching Constraint for Semi-Supervised Classification. - Sheng Li 001; Yun Fu 001 (IJCAI, 2013)

Low-Rank and Sparse Dictionary Learning. - Sheng Li 001; Liangyue Li; Yun Fu 001 (Low-Rank and Sparse Modeling for Visual Analysis, 2014)

Low-Rank Outlier Detection. - Sheng Li 001; Ming Shao; Yun Fu 001 (Low-Rank and Sparse Modeling for Visual Analysis, 2014)

Early Classification of Ongoing Observation. - Kang Li; Sheng Li 001; Yun Fu 001 (ICDM, 2014)

Learning relative features through adaptive pooling for image classification. - Ming Shao; Sheng Li 001; Tongliang Liu; Dacheng Tao; Thomas S. Huang; Yun Fu 001 (ICME, 2014)

Locality linear fitting one-class SVM with low-rank constraints for outlier detection. - Sheng Li 001; Ming Shao; Yun Fu 001 (IJCNN, 2014)

Robust Subspace Discovery through Supervised Low-Rank Constraints. - Sheng Li 001; Yun Fu 001 (SDM, 2014)

Learning low-rank and discriminative dictionary for image classification. - Liangyue Li; Sheng Li 001; Yun Fu 001 (Image Vis. Comput., 2014)

Submanifold Decomposition. - Ya Su; Sheng Li 001; Shengjin Wang; Yun Fu 001 (IEEE Trans. Circuits Syst. Video Technol., 2014)

Deep Collaborative Filtering via Marginalized Denoising Auto-encoder. - Sheng Li 001; Jaya Kawale; Yun Fu 001 (CIKM, 2015)

Temporal Subspace Clustering for Human Motion Segmentation. - Sheng Li 001; Kang Li; Yun Fu 001 (ICCV, 2015)

Cross-View Projective Dictionary Learning for Person Re-Identification. - Sheng Li 001; Ming Shao; Yun Fu 001 (IJCAI, 2015)

Deep Linear Coding for Fast Graph Clustering. - Ming Shao; Sheng Li 001; Zhengming Ding; Yun Fu 001 (IJCAI, 2015)

Multi-View Low-Rank Analysis for Outlier Detection. - Sheng Li 001; Ming Shao; Yun Fu 001 (SDM, 2015)

Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization. - Sheng Li 001; Jaya Kawale; Yun Fu 001 (SIGIR, 2015)

Learning Balanced and Unbalanced Graphs via Low-Rank Coding. - Sheng Li 001; Yun Fu 001 (IEEE Trans. Knowl. Data Eng., 2015)

Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach. - Sheng Li 001; Yaliang Li; Yun Fu 001 (CIKM, 2016)

Robust Spectral Ensemble Clustering. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Yun Fu 001 (CIKM, 2016)

Learning Robust Representations for Data Analytics. - Sheng Li 001 (IJCAI, 2016)

Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns. - Sheng Li 001; Nikos Vlassis; Jaya Kawale; Yun Fu 001 (IJCAI, 2016)

Unsupervised transfer learning via Low-Rank Coding for image clustering. - Sheng Li 001; Yun Fu 001 (IJCNN, 2016)

Scalable large margin online metric learning. - Guoqiang Zhong 001; Yan Zheng; Sheng Li 001; Yun Fu 001 (IJCNN, 2016)

Infinite Ensemble for Image Clustering. - Hongfu Liu 001; Ming Shao; Sheng Li 001; Yun Fu 001 (KDD, 2016)

Learning Robust and Discriminative Subspace With Low-Rank Constraints. - Sheng Li 001; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Robust multi-label semi-supervised classification. - Sheng Li 001; Yun Fu 001 (IEEE BigData, 2017)

Multi-view graph learning with adaptive label propagation. - Sheng Li 001; Hongfu Liu 001; Zhiqiang Tao; Yun Fu 001 (IEEE BigData, 2017)

From Ensemble Clustering to Multi-View Clustering. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Zhengming Ding; Yun Fu 001 (IJCAI, 2017)

Matching on Balanced Nonlinear Representations for Treatment Effects Estimation. - Sheng Li 001; Yun Fu 001 (NIPS, 2017)

Videography-Based Unconstrained Video Analysis. - Kang Li; Sheng Li 001; Sangmin Oh; Yun Fu 001 (IEEE Trans. Image Process., 2017)

Robust Representation for Data Analytics - Models and Applications - Sheng Li 001; Yun Fu 001 (Springer, 2017)

Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests. - Shumin Jing; Sheng Li 001 (AAAI, 2018)

Latent Discriminant Subspace Representations for Multi-View Outlier Detection. - Kai Li 012; Sheng Li 001; Zhengming Ding; Weidong Zhang; Yun Fu 001 (AAAI, 2018)

Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. - Kai Li 012; Zhengming Ding; Sheng Li 001; Yun Fu 001 (AAAI, 2018)

A Simple End-to-End Question Answering Model for Product Information. - Tuan Manh Lai; Trung Bui; Sheng Li 001; Nedim Lipka (ECONLP@ACL, 2018)

A Review on Deep Learning Techniques Applied to Answer Selection. - Tuan Manh Lai; Trung Bui; Sheng Li 001 (COLING, 2018)

Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation. - Zhengming Ding; Sheng Li 001; Ming Shao; Yun Fu 001 (ECCV (2), 2018)

Generic Embedded Semantic Dictionary for Robust Multi-Label Classification. - Zhengming Ding; Ming Shao; Sheng Li 001; Yun Fu 001 (ICBK, 2018)

Supervised Transfer Learning for Product Information Question Answering. - Tuan Manh Lai; Trung Bui; Nedim Lipka; Sheng Li 001 (ICMLA, 2018)

Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning. - Jiahuan Ren; Zhao Zhang 001; Sheng Li 001; Guangcan Liu; Meng Wang 001; Shuicheng Yan (ICPR, 2018)

Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding. - Zhao Zhang 001; Weiming Jiang; Sheng Li 001; Jie Qin; Guangcan Liu; Shuicheng Yan (ICPR, 2018)

Robust Adaptive Label Propagation by Double Matrix Decomposition. - Huan Zhang; Zhao Zhang 001; Sheng Li 001; Qiaolin Ye; Mingbo Zhao; Meng Wang 001 (ICPR, 2018)

Representation Learning for Treatment Effect Estimation from Observational Data. - Liuyi Yao; Sheng Li 001; Yaliang Li; Mengdi Huai; Jing Gao 004; Aidong Zhang (NeurIPS, 2018)

Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. - Lei Wang 124; Zhao Zhang 001; Sheng Li 001; Guangcan Liu; Chenping Hou; Jie Qin (PRICAI (1), 2018)

Infinite ensemble clustering. - Hongfu Liu 001; Ming Shao; Sheng Li 001; Yun Fu 001 (Data Min. Knowl. Discov., 2018)

Person Re-Identification by Cross-View Multi-Level Dictionary Learning. - Sheng Li 001; Ming Shao; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

SLMOML: Online Metric Learning With Global Convergence. - Guoqiang Zhong 001; Yan Zheng; Sheng Li 001; Yun Fu 001 (IEEE Trans. Circuits Syst. Video Technol., 2018)

Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions. - Chengcheng Jia; Ming Shao; Sheng Li 001; Handong Zhao; Yun Fu 001 (IEEE Trans. Image Process., 2018)

Multi-View Low-Rank Analysis with Applications to Outlier Detection. - Sheng Li 001; Ming Shao; Yun Fu 001 (ACM Trans. Knowl. Discov. Data, 2018)

Self-Taught Low-Rank Coding for Visual Learning. - Sheng Li 001; Kang Li; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Early Recognition of 3D Human Actions. - Sheng Li 001; Kang Li; Yun Fu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2018)

SADIH: Semantic-Aware DIscrete Hashing. - Zheng Zhang 006; Guo-Sen Xie; Yang Li 140; Sheng Li 001; Zi Huang (AAAI, 2019)

Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster. - Yuqi Fu; Shaolun Zhang; Jose Terrero; Ying Mao 001; Guangya Liu; Sheng Li 001; Dingwen Tao (IEEE BigData, 2019)

Scene Graph Generation With External Knowledge and Image Reconstruction. - Jiuxiang Gu; Handong Zhao; Zhe Lin 001; Sheng Li 001; Jianfei Cai 001; Mingyang Ling 001 (CVPR, 2019)

Fast Spatio-Temporal Residual Network for Video Super-Resolution. - Sheng Li 001; Fengxiang He; Bo Du 001; Lefei Zhang; Yonghao Xu; Dacheng Tao (CVPR, 2019)

Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering. - Zhao Zhang 001; Yan Zhang 053; Sheng Li 001; Guangcan Liu; Meng Wang 001; Shuicheng Yan (ICASSP, 2019)

Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery. - Zhao Zhang 001; Lei Wang 124; Sheng Li 001; Yang Wang 023; Zheng Zhang 006; Zhengjun Zha; Meng Wang 001 (ICDM, 2019)

ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. - Liuyi Yao; Sheng Li 001; Yaliang Li; Mengdi Huai; Jing Gao 004; Aidong Zhang (ICDM, 2019)

CensNet: Convolution with Edge-Node Switching in Graph Neural Networks. - Xiaodong Jiang; Pengsheng Ji; Sheng Li 001 (IJCAI, 2019)

On the Estimation of Treatment Effect with Text Covariates. - Liuyi Yao; Sheng Li 001; Yaliang Li; Hongfei Xue; Jing Gao 004; Aidong Zhang (IJCAI, 2019)

Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. - Zhao Zhang 001; Weiming Jiang; Zheng Zhang 006; Sheng Li 001; Guangcan Liu; Jie Qin (IJCAI, 2019)

Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? - Xiaowei Jia; Sheng Li 001; Handong Zhao; Sungchul Kim; Vipin Kumar 001 (KDD, 2019)

Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit. - Zhiqiang Tao; Sheng Li 001; Zhaowen Wang; Chen Fang; Longqi Yang; Handong Zhao; Yun Fu 001 (KDD, 2019)

Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation. - Zhao Zhang 001; Jiahuan Ren; Sheng Li 001; Richang Hong; Zhengjun Zha; Meng Wang 001 (ACM Multimedia, 2019)

Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. - Xiaowei Jia; Sheng Li 001; Ankush Khandelwal; Guruprasad Nayak; Anuj Karpatne; Vipin Kumar 001 (SDM, 2019)

Training Streaming Factorization Machines with Alternating Least Squares. - Xueyu Mao 001; Saayan Mitra; Sheng Li 001 (SIGIR, 2019)

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. - Donghyun Kim 007; Sungchul Kim; Handong Zhao; Sheng Li 001; Ryan A. Rossi; Eunyee Koh (WSDM, 2019)

Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism. - Yue Bai; Lichen Wang; Zhiqiang Tao; Sheng Li 001; Yun Fu 001 (CoRR, 2019)

Witness detection in multi-instance regression and its application for age estimation. - Jianyi Liu; Rui Qiao; Yueying Li; Sheng Li 001 (Multim. Tools Appl., 2019)

Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality. - Zhengming Li; Zheng Zhang 006; Jie Qin; Sheng Li 001; Hongmin Cai (Neural Networks, 2019)

Visual to Text: Survey of Image and Video Captioning. - Sheng Li 001; Zhiqiang Tao; Kang Li; Yun Fu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Robust Spectral Ensemble Clustering via Rank Minimization. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Zhengming Ding; Yun Fu 001 (ACM Trans. Knowl. Discov. Data, 2019)

Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation. - Yan Zhang 053; Zhao Zhang 001; Sheng Li 001; Jie Qin; Guangcan Liu; Meng Wang 001; Shuicheng Yan (IEEE Trans. Knowl. Data Eng., 2019)

Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning. - Kai Li 012; Zhengming Ding; Sheng Li 001; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. - Zhixuan Chu; Stephen L. Rathbun; Sheng Li 001 (CIKM, 2020)

Learning Discriminative Virtual Sequences for Time Series Classification. - Abhilash Dorle; Fangyu Li; Wenzhan Song 001; Sheng Li 001 (CIKM, 2020)

A Survey on Representation Learning for User Modeling. - Sheng Li 001; Handong Zhao (IJCAI, 2020)

Causal Inference Meets Machine Learning. - Peng Cui 001; Zheyan Shen; Sheng Li 001; Liuyi Yao; Yaliang Li; Zhixuan Chu; Jing Gao 004 (KDD, 2020)

Context-aware Graph Embedding for Session-based News Recommendation. - Heng-Shiou Sheu; Sheng Li 001 (RecSys, 2020)

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 001; Ping Ma; Khaled Rasheed; Natarajan Kannan (BMC Bioinform., 2020)

Stereotype-Free Classification of Fictitious Faces. - Mohammadhossein Toutiaee; Soheyla Amirian; John A. Miller 001; Sheng Li 001 (CoRR, 2020)

Collaborative Attention Mechanism for Multi-View Action Recognition. - Yue Bai; Zhiqiang Tao; Lichen Wang; Sheng Li 001; Yu Yin 001; Yun Fu 001 (CoRR, 2020)

Smart Home Monitoring System via Footstep-Induced Vibrations. - Fangyu Li; José Clemente; Maria Valero; Zion Tse; Sheng Li 001; WenZhan Song 001 (IEEE Syst. J., 2020)

Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. - Jiahuan Ren; Zhao Zhang 001; Sheng Li 001; Yang Wang 023; Guangcan Liu; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Image Process., 2020)

Marginalized Multiview Ensemble Clustering. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Zhengming Ding; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Correlative Channel-Aware Fusion for Multi-View Time Series Classification. - Yue Bai; Lichen Wang; Zhiqiang Tao; Sheng Li 001; Yun Fu 001 (AAAI, 2021)

A Framework for Knowledge-Derived Query Suggestions. - Saed Rezayi; Nedim Lipka; Vishwa Vinay; Ryan A. Rossi; Franck Dernoncourt; Tracy Holloway King; Sheng Li 001 (IEEE BigData, 2021)

SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. - Liuyi Yao; Yaliang Li; Sheng Li 001; Mengdi Huai; Jing Gao 004; Aidong Zhang (CIKM, 2021)

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. - Xiaowei Jia; Yiqun Xie; Sheng Li 001; Shengyu Chen; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Jordan S. Read (ICDM, 2021)

Self-supervised Universal Domain Adaptation with Adaptive Memory Separation. - Ronghang Zhu; Sheng Li 001 (ICDM, 2021)

Transferable Feature Learning on Graphs Across Visual Domains. - Ronghang Zhu; Xiaodong Jiang; Jiasen Lu; Sheng Li 001 (ICME, 2021)

Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. - Zhixuan Chu; Stephen L. Rathbun; Sheng Li 001 (KDD, 2021)

Socially Aware Multimodal Deep Neural Networks for Fake News Classification. - Saed Rezayi; Saber Soleymani; Hamid R. Arabnia; Sheng Li 001 (MIPR, 2021)

2.5D Pose Guided Human Image Generation. - Kang Yuan; Sheng Li 001 (ICMR, 2021)

Edge: Enriching Knowledge Graph Embeddings with External Text. - Saed Rezayi; Handong Zhao; Sungchul Kim; Ryan A. Rossi; Nedim Lipka; Sheng Li 001 (NAACL-HLT, 2021)

Automated Graph Learning via Population Based Self-Tuning GCN. - Ronghang Zhu; Zhiqiang Tao; Yaliang Li; Sheng Li 001 (SIGIR, 2021)

Adversarial Memory Networks for Action Prediction. - Zhiqiang Tao; Yue Bai; Handong Zhao; Sheng Li 001; Yu Kong 001; Yun Fu 001 (CoRR, 2021)

Editorial: IMAVIS special issue on deep cross-media neural model for generating image descriptions. - Zhao Zhang 001; Sheng Li 001; Meng Wang 001; Shuicheng Yan (Image Vis. Comput., 2021)

A Survey on Causal Inference. - Liuyi Yao; Zhixuan Chu; Sheng Li 001; Yaliang Li; Jing Gao 004; Aidong Zhang (ACM Trans. Knowl. Discov. Data, 2021)

Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. - Zhao Zhang 001; Yan Zhang 053; Sheng Li 001; Guangcan Liu; Dan Zeng 001; Shuicheng Yan; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2021)

XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract). - Saed Rezayi; Handong Zhao; Sheng Li 001 (AAAI, 2022)

Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training. - Weili Shi; Sheng Li 001 (IEEE Big Data, 2022)

Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification. - Zhongliang Zhou; Nathaniel P. Hitt; Benjamin H. Letcher; Weili Shi; Sheng Li 001 (IEEE Big Data, 2022)

Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. - Zhixuan Chu; Stephen L. Rathbun; Sheng Li 001 (CHIL, 2022)

Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. - Zhixuan Chu; Hui Ding; Guang Zeng 001; Yuchen Huang; Tan Yan; Yulin Kang; Sheng Li 001 (CIKM, 2022)

Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty. - Xueying Yang; Jiamian Wang; Xujiang Zhao; Sheng Li 001; Zhiqiang Tao (CIKM, 2022)

CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization. - Ronghang Zhu; Sheng Li 001 (ICLR, 2022)

AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. - Saed Rezayi; Zhengliang Liu; Zihao Wu 001; Chandra Dhakal; Bao Ge; Chen Zhen; Tianming Liu 001; Sheng Li 001 (IJCAI, 2022)

Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation. - Weili Shi; Ronghang Zhu; Sheng Li 001 (KDD, 2022)

ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. - Saed Rezayi; Haixing Dai; Zhengliang Liu; Zihao Wu 001; Akarsh Hebbar; Andrew H. Burns; Lin Zhao 004; Dajiang Zhu; Quanzheng Li; Wei Liu 146; Sheng Li 001; Tianming Liu 001; et al. (MLMI@MICCAI, 2022)

Collaborative Attention Mechanism for Multi-Modal Time Series Classification. - Yue Bai; Zhiqiang Tao; Lichen Wang; Sheng Li 001; Yu Yin 001; Yun Fu 001 (SDM, 2022)

Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. - Zhixuan Chu; Stephen L. Rathbun; Sheng Li 001 (SDM, 2022)

Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation. - Ronghang Zhu; Sheng Li 001 (SDM, 2022)

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. - Hongmin Cai; Wenxiong Liao; Zhengliang Liu; Xiaoke Huang; Yiyang Zhang 003; Siqi Ding; Sheng Li 001; Quanzheng Li; Tianming Liu 001; Xiang Li 001 (CoRR, 2022)

Semi-supervised Local Cluster Extraction by Compressive Sensing. - Zhaiming Shen; Ming-Jun Lai; Sheng Li 001 (CoRR, 2022)

Editorial: Deep dictionary learning: Algorithm, theory and application. - Zhao Zhang 001; Meng Wang 001; Sheng Li 001; Zheng Zhang 006 (Neurocomputing, 2022)

Knowledge-Guided Article Embedding Refinement for Session-Based News Recommendation. - Heng-Shiou Sheu; Zhixuan Chu; Daiqing Qi; Sheng Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Continual Treatment Effect Estimation: Challenges and Opportunities. - Zhixuan Chu; Sheng Li 001 (AAAI Bridge Program, 2023)

Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years. - Weili Shi; Zhongliang Zhou; Benjamin H. Letcher; Nathaniel P. Hitt; Yoichiro Kanno; Ryo Futamura; Osamu Kishida; Kentaro Morita; Sheng Li 001 (AI (1), 2023)

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. - Wenxiong Liao; Zhengliang Liu; Yiyang Zhang 003; Xiaoke Huang; Fei Qi 007; Siqi Ding; Hui Ren 001; Zihao Wu 001; Haixing Dai; Sheng Li 001; Lingfei Wu 001; Ninghao Liu; et al. (BIBM, 2023)

Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning. - Weili Shi; Xueying Yang; Xujiang Zhao; Haifeng Chen; Zhiqiang Tao; Sheng Li 001 (CIKM, 2023)

Frame Flexible Network. - Yitian Zhang; Yue Bai; Chang Liu 022; Huan Wang 014; Sheng Li 001; Yun Fu 001 (CVPR, 2023)

Continual Optimization of In-Production Machine Learning Systems Through Semantic Analysis of User Feedback. - Hemadri Jayalath; Ghadeer I. Yassin; Lakshmish Ramaswamy; Sheng Li 001 (ICAART (3), 2023)

Continual Causal Inference with Incremental Observational Data. - Zhixuan Chu; Ruopeng Li; Stephen L. Rathbun; Sheng Li 001 (ICDE, 2023)

Fair Attribute Completion on Graph with Missing Attributes. - Dongliang Guo 002; Zhixuan Chu; Sheng Li 001 (ICLR, 2023)

Better Generative Replay for Continual Federated Learning. - Daiqing Qi; Handong Zhao; Sheng Li 001 (ICLR, 2023)

Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer. - Ronghang Zhu; Xiang Yu 002; Sheng Li 001 (ICLR, 2023)

Graph-based Semi-supervised Local Clustering with Few Labeled Nodes. - Zhaiming Shen; Ming-Jun Lai; Sheng Li 001 (IJCAI, 2023)

pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting. - Yunyi Zhou; Zhixuan Chu; Yijia Ruan; Ge Jin; Yuchen Huang; Sheng Li 001 (IJCAI, 2023)

Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. - Haixing Dai; Mengxuan Hu; Qing Li 027; Lu Zhang 050; Lin Zhao 004; Dajiang Zhu; Ibai Díez; Jorge Sepulcre; Fan Zhang; Xingyu Gao; Manhua Liu; Quanzheng Li; et al. (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Towards Trustworthy Representation Learning. - Sheng Li 001 (SDM, 2023)

Estimating Propensity Scores with Deep Adaptive Variable Selection. - Zhixuan Chu; Mechelle Claridy; José Cordero; Sheng Li 001; Stephen L. Rathbun (SDM, 2023)

XDC: Adaptive Cross Domain Short Text Clustering. - Saed Rezayi; Handong Zhao; Ronghang Zhu; Sheng Li 001 (SDM, 2023)

More Knowledge, Less Bias: Unbiasing Scene Graph Generation with Explicit Ontological Adjustment. - Zhanwen Chen; Saed Rezayi; Sheng Li 001 (WACV, 2023)

Causal Effect Estimation: Recent Advances, Challenges, and Opportunities. - Zhixuan Chu; Jianmin Huang; Ruopeng Li; Wei Chu; Sheng Li 001 (CoRR, 2023)

Towards Explainable Visual Anomaly Detection. - Yizhou Wang 006; Dongliang Guo 002; Sheng Li 001; Yun Fu 001 (CoRR, 2023)

Mask-guided BERT for Few Shot Text Classification. - Wenxiong Liao; Zhengliang Liu; Haixing Dai; Zihao Wu 001; Yiyang Zhang 003; Xiaoke Huang; Yuzhong Chen; Xi Jiang 001; Dajiang Zhu; Tianming Liu 001; Sheng Li 001; Xiang Li 001; et al. (CoRR, 2023)

ChatAug: Leveraging ChatGPT for Text Data Augmentation. - Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Zihao Wu 001; Lin Zhao 004; Wei Liu 146; Ninghao Liu; Sheng Li 001; Dajiang Zhu; Hongmin Cai; Quanzheng Li; et al. (CoRR, 2023)

AGI for Agriculture. - Guoyu Lu; Sheng Li 001; Gengchen Mai; Jin Sun 011; Dajiang Zhu; Lilong Chai; Haijian Sun; Xianqiao Wang; Haixing Dai; Ninghao Liu; Rui Xu 018; Daniel Petti; et al. (CoRR, 2023)

Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. - Jielu Zhang; Zhongliang Zhou; Gengchen Mai; Lan Mu; Mengxuan Hu; Sheng Li 001 (CoRR, 2023)

Artificial General Intelligence (AGI) for Education. - Ehsan Latif; Gengchen Mai; Matthew Nyaaba; Xuansheng Wu; Ninghao Liu; Guoyu Lu; Sheng Li 001; Tianming Liu 001; Xiaoming Zhai (CoRR, 2023)

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks. - Zihan Guan 001; Mengxuan Hu; Zhongliang Zhou; Jielu Zhang; Sheng Li 001; Ninghao Liu (CoRR, 2023)

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology. - Haixing Dai; Yiwei Li 002; Zhengliang Liu; Lin Zhao 004; Zihao Wu 001; Suhang Song; Ye Shen; Dajiang Zhu; Xiang Li 001; Sheng Li 001; Xiaobai Angela Yao; Lu Shi; et al. (CoRR, 2023)

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. - Haixing Dai; Mengxuan Hu; Qing Li 027; Lu Zhang 050; Lin Zhao 004; Dajiang Zhu; Ibai Díez; Jorge Sepulcre; Fan Zhang; Xingyu Gao; Manhua Liu; Quanzheng Li; et al. (CoRR, 2023)

PharmacyGPT: The AI Pharmacist. - Zhengliang Liu; Zihao Wu 001; Mengxuan Hu; Bokai Zhao; Lin Zhao 004; Tianyi Zhang; Haixing Dai; Xianyan Chen; Ye Shen; Sheng Li 001; Brian Murray; Tianming Liu 001; et al. (CoRR, 2023)

Enhancing Recommender Systems with Large Language Model Reasoning Graphs. - Yan Wang 002; Zhixuan Chu; Xin Ouyang; Simeng Wang; Hongyan Hao; Yue Shen; Jinjie Gu; Siqiao Xue; James Y. Zhang; Qing Cui; Longfei Li; Jun Zhou 011; et al. (CoRR, 2023)

Leveraging Large Language Models for Pre-trained Recommender Systems. - Zhixuan Chu; Hongyan Hao; Xin Ouyang; Simeng Wang; Yan Wang 002; Yue Shen; Jinjie Gu; Qing Cui; Longfei Li; Siqiao Xue; James Y. Zhang; Sheng Li 001 (CoRR, 2023)

Trustworthy Representation Learning Across Domains. - Ronghang Zhu; Dongliang Guo 002; Daiqing Qi; Zhixuan Chu; Xiang Yu 002; Sheng Li 001 (CoRR, 2023)

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. - Fei Dou; Jin Ye 001; Geng Yuan; Qin Lu 002; Wei Niu 002; Haijian Sun; Le Guan; Guoyu Lu; Gengchen Mai; Ninghao Liu; Jin Lu 001; Zhengliang Liu; et al. (CoRR, 2023)

Data-Centric Financial Large Language Models. - Zhixuan Chu; Huaiyu Guo; Xinyuan Zhou; Yijia Wang; Fei Yu; Hong Chen; Wanqing Xu; Xin Lu; Qing Cui; Longfei Li; Jun Zhou 011; Sheng Li 001 (CoRR, 2023)

Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability. - Lian Zhang; Jason M. Holmes; Zhengliang Liu; Hongying Feng; Terence T. Sio; Carlos E. Vargas; Sameer R. Keole; Kristin Stützer; Sheng Li 001; Tianming Liu 001; Jiajian Shen; William W. Wong; et al. (CoRR, 2023)

XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications. - Zhongliang Zhou; Mengxuan Hu; Mariah Salcedo; Nathan Gravel; Wayland Yeung; Aarya Venkat; Dongliang Guo 002; Jielu Zhang; Natarajan Kannan; Sheng Li 001 (CoRR, 2023)

Physics-guided machine learning from simulated data with different physical parameters. - Shengyu Chen; Nasrin Kalanat; Yiqun Xie; Sheng Li 001; Jacob A. Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha K. Oliver; Jordan S. Read; Xiaowei Jia (Knowl. Inf. Syst., 2023)

Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation. - Ronghang Zhu; Xiang Yu 002; Sheng Li 001 (Trans. Mach. Learn. Res., 2023)

Alignment-free estimation of sequence conservation for identifying functional sites using protein sequence embeddings. - Wayland Yeung; Zhongliang Zhou; Sheng Li 001; Natarajan Kannan (Briefings Bioinform., 2023)

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 001; Natarajan Kannan (Briefings Bioinform., 2023)

Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions. - Zhongliang Zhou; Wayland Yeung; Nathan Gravel; Mariah Salcedo; Saber Soleymani; Sheng Li 001; Natarajan Kannan (Bioinform., 2023)

Co-Embedding of Nodes and Edges With Graph Neural Networks. - Xiaodong Jiang; Ronghang Zhu; Pengsheng Ji; Sheng Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation. - Ronghang Zhu; Xiaodong Jiang; Jiasen Lu; Sheng Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Concept-Level Model Interpretation From the Causal Aspect. - Liuyi Yao; Yaliang Li; Sheng Li 001; Jinduo Liu 001; Mengdi Huai; Aidong Zhang; Jing Gao 004 (IEEE Trans. Knowl. Data Eng., 2023)

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract). - Zihan Guan 001; Mengxuan Hu; Zhongliang Zhou; Jielu Zhang; Sheng Li 001; Ninghao Liu (AAAI, 2024)

Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. - Zhixuan Chu; Mengxuan Hu; Qing Cui; Longfei Li; Sheng Li 001 (AAAI, 2024)

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. - Yan Wang 002; Zhixuan Chu; Xin Ouyang; Simeng Wang; Hongyan Hao; Yue Shen; Jinjie Gu; Siqiao Xue; James Zhang; Qing Cui; Longfei Li; Jun Zhou 011; et al. (AAAI, 2024)

Open-Set Graph Domain Adaptation via Separate Domain Alignment. - Yu Wang; Ronghang Zhu; Pengsheng Ji; Sheng Li 001 (AAAI, 2024)

Generalizing to Unseen Domains via Text-Guided Augmentation: A Training-Free Approach. - Daiqing Qi; Handong Zhao; Aidong Zhang; Sheng Li 001 (ECCV (69), 2024)

Tag-grounded Visual Instruction Tuning with Retrieval Augmentation. - Daiqing Qi; Handong Zhao; Zijun Wei; Sheng Li 001 (EMNLP, 2024)

Text2Seg: Zero-shot Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. - Jielu Zhang; Zhongliang Zhou; Gengchen Mai; Mengxuan Hu; Zihan Guan 001; Sheng Li 001; Lan Mu (GeoAI@SIGSPATIAL, 2024)

Causal Inference with Latent Variables: Recent Advances and Future Prospectives. - Yaochen Zhu; Yinhan He; Jing Ma 002; Mengxuan Hu; Sheng Li 001; Jundong Li (KDD, 2024)

Easy Regional Contrastive Learning of Expressive Fashion Representations. - Daiqing Qi; Handong Zhao; Sheng Li 001 (NeurIPS, 2024)

Ada-VAD: Domain Adaptable Video Anomaly Detection. - Dongliang Guo 002; Yun Fu 001; Sheng Li 001 (SDM, 2024)

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. - Zhongliang Zhou; Jielu Zhang; Zihan Guan 001; Mengxuan Hu; Ni Lao; Lan Mu; Sheng Li 001; Gengchen Mai (SIGIR, 2024)

Graph Neural Networks for lightweight plant organ tracking. - Daniel Petti; Ronghang Zhu; Sheng Li 001; Changying Li (Comput. Electron. Agric., 2024)

LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation. - Zhixuan Chu; Yan Wang 002; Qing Cui; Longfei Li; Wenqing Chen; Sheng Li 001; Zhan Qin; Kui Ren 001 (CoRR, 2024)

Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions. - Guangya Wan; Yuqi Wu; Mengxuan Hu; Zhixuan Chu; Sheng Li 001 (CoRR, 2024)

Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis. - Shaochen Xu; Zihao Wu 001; Huaqin Zhao; Peng Shu; Zhengliang Liu; Wenxiong Liao; Sheng Li 001; Andrea Sikora; Tianming Liu 001; Xiang Li 001 (CoRR, 2024)

UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models. - Zihan Guan 001; Mengxuan Hu; Sheng Li 001; Anil Vullikanti (CoRR, 2024)

Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks. - Duna Zhan; Dongliang Guo 002; Pengsheng Ji; Sheng Li 001 (CoRR, 2024)

Reminding Multimodal Large Language Models of Object-aware Knowledge with Retrieved Tags. - Daiqing Qi; Handong Zhao; Zijun Wei; Sheng Li 001 (CoRR, 2024)

Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models. - Zhawnen Chen; Tianchun Wang; Yizhou Wang 006; Michal Kosinski; Xiang Zhang 001; Yun Fu 001; Sheng Li 001 (CoRR, 2024)

CoT Rerailer: Enhancing the Reliability of Large Language Models in Complex Reasoning Tasks through Error Detection and Correction. - Guangya Wan; Yuqi Wu; Jie Chen; Sheng Li 001 (CoRR, 2024)

Dynamic Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling. - Guangya Wan; Yuqi Wu; Jie Chen; Sheng Li 001 (CoRR, 2024)

No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users. - Mengxuan Hu; Hongyi Wu; Zihan Guan 001; Ronghang Zhu; Dongliang Guo 002; Daiqing Qi; Sheng Li 001 (CoRR, 2024)

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing. - Dongliang Guo 002; Mengxuan Hu; Zihan Guan 001; Junfeng Guo; Thomas Hartvigsen; Sheng Li 001 (CoRR, 2024)

A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation. - Kexin Zhang 007; Shuhan Liu; Song Wang 013; Weili Shi; Chen Chen 022; Pan Li; Sheng Li 001; Jundong Li; Kaize Ding (CoRR, 2024)

Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education. - Huibo Yang; Mengxuan Hu; Amoreena Most; W. Anthony Hawkins; Brian Murray; Susan E. Smith; Sheng Li 001; Andrea Sikora (Frontiers Artif. Intell., 2024)

Mask-guided BERT for few-shot text classification. - Wenxiong Liao; Zhengliang Liu; Haixing Dai; Zihao Wu 001; Yiyang Zhang 003; Xiaoke Huang; Yuzhong Chen; Xi Jiang 001; David Liu; Dajiang Zhu; Sheng Li 001; Wei Liu 146; et al. (Neurocomputing, 2024)

Large pre-trained models for treatment effect estimation: Are we there yet? - Sheng Li 001 (Patterns, 2024)

BBCaL: Black-box Backdoor Detection under the Causality Lens. - Mengxuan Hu; Zihan Guan 001; Junfeng Guo; Zhongliang Zhou; Jielu Zhang; Sheng Li 001 (Trans. Mach. Learn. Res., 2024)

DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estimation by Reweighted Disentangled Representation. - Mengxuan Hu; Zhixuan Chu; Sheng Li 001 (Trans. Mach. Learn. Res., 2024)

Revealing an Overlooked Challenge in Class-Incremental Graph Learning. - Daiqing Qi; Handong Zhao; Xiaowei Jia; Sheng Li 001 (Trans. Mach. Learn. Res., 2024)

Dual-windowed Vision Transformer with Angular Self- Attention. - Weili Shi; Sheng Li 001 (Trans. Mach. Learn. Res., 2024)

Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. - Lin Zhao 004; Haixing Dai; Zihao Wu 001; Zhenxiang Xiao; Lu Zhang 050; David Weizhong Liu; Xintao Hu; Xi Jiang 001; Sheng Li 001; Dajiang Zhu; Tianming Liu 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Guest Editorial of the Special Section on Multimedia Sensing and Computing for Consumer Electronics. - Mingbo Zhao; Sheng Li 001; Xiaojie Jin; David Zhiwei Gao (IEEE Trans. Consumer Electron., 2024)

A Survey of Trustworthy Representation Learning Across Domains. - Ronghang Zhu; Dongliang Guo 002; Daiqing Qi; Zhixuan Chu; Xiang Yu 002; Sheng Li 001 (ACM Trans. Knowl. Discov. Data, 2024)

Unsupervised Class-Imbalanced Domain Adaptation With Pairwise Adversarial Training and Semantic Alignment. - Weili Shi; Ronghang Zhu; Sheng Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models. - Zihan Guan 001; Mengxuan Hu; Sheng Li 001; Anil Kumar S. Vullikanti (AAAI, 2025)

Trustworthy AI Meets Educational Assessment: Challenges and Opportunities. - Sheng Li 001 (AAAI, 2025)

The Photographer's Eye: Teaching Multimodal Large Language Models to See, and Critique Like Photographers. - Daiqing Qi; Handong Zhao; Jing Shi 005; Simon Jenni; Yifei Fan; Franck Dernoncourt; Scott Cohen; Sheng Li 001 (CVPR, 2025)

Unified Dense Prediction of Video Diffusion. - Lehan Yang; Lu Qi; Xiangtai Li; Sheng Li 001; Varun Jampani; Ming-Hsuan Yang 001 (CVPR, 2025)

Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety. - Ronghang Zhu; Mengxuan Hu; Weiming Zhuang; Lingjuan Lyu; Xiang Yu 002; Sheng Li 001 (CVPR, 2025)

Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data. - Mengxuan Hu; Zihan Guan 001; Yi Zeng 005; Junfeng Guo; Zhongliang Zhou; Jielu Zhang; Ruoxi Jia 001; Anil Kumar S. Vullikanti; Sheng Li 001 (ICLR, 2025)

Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling. - Guangya Wan; Yuqi Wu; Jie Chen; Sheng Li 001 (NAACL (Long Papers), 2025)

Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English. - Runtao Zhou; Guangya Wan; Saadia Gabriel; Sheng Li 001; Alexander J. Gates; Maarten Sap; Thomas Hartvigsen (CoRR, 2025)

VRMDiff: Text-Guided Video Referring Matting Generation of Diffusion. - Lehan Yang; Jincen Song; Tianlong Wang; Daiqing Qi; Weili Shi; Yuheng Liu; Sheng Li 001 (CoRR, 2025)

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing. - Dongliang Guo 002; Mengxuan Hu; Zihan Guan 001; Thomas Hartvigsen; Sheng Li 001 (CoRR, 2025)

Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety. - Zihan Guan 001; Mengxuan Hu; Ronghang Zhu; Sheng Li 001; Anil Vullikanti (CoRR, 2025)

AugGPT: Leveraging ChatGPT for Text Data Augmentation. - Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu 001; Lin Zhao 004; Shaochen Xu; Fang Zeng; Wei Liu 146; Ninghao Liu; Sheng Li 001; et al. (IEEE Trans. Big Data, 2025)

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. - Saed Rezayi; Zhengliang Liu; Zihao Wu 001; Chandra Dhakal; Bao Ge; Haixing Dai; Gengchen Mai; Ninghao Liu; Chen Zhen; Tianming Liu 001; Sheng Li 001 (IEEE Trans. Big Data, 2025)

Mixup Virtual Adversarial Training for Robust Vision Transformers. - Weili Shi; Sheng Li 001 (IEEE Trans. Big Data, 2025)