Sheng Li

271 papers A* 61A 25B 17C 1Misc 1Journal 136Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Deep Graph Learning under Distribution Shifts: From Graph Out-of-Distribution Generalization to Adaptation.
ACM Trans. Knowl. Discov. Data
Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding
2026 J jnl
Alignment-Weighted DPO: A principled reasoning approach to improve safety alignment.
CoRR
Mengxuan Hu, Vivek V. Datla, Anoop Kumar, Zihan Guan, Sheng Li, Alfy Samuel, Daben Liu
2026 J jnl
Enhanced Diagnostic Performance via Large-Resolution Inference Optimization for Pathology Foundation Models.
CoRR
Mengxuan Hu, Zihan Guan, John Kang, Sheng Li, Zhongliang Zhou
2026 J jnl
NIMMGen: Learning Neural-Integrated Mechanistic Digital Twins with LLMs.
CoRR
Zihan Guan, Rituparna Datta, Mengxuan Hu, Shunshun Liu, Aiying Zhang, Prasanna Balachandran, Sheng Li, Anil Vullikanti
2026 J jnl
The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning.
Trans. Mach. Learn. Res.
Wenqian Ye, Luyang Jiang, Eric Xie, Guangtao Zheng, Yunsheng Ma, Xu Cao, Dongliang Guo, Daiqing Qi, Zeyu He, Yijun Tian, Christopher W. Porter, Megan Coffee, Zhe Zeng, Sheng Li, Ziran Wang, Ting-Hao Kenneth Huang, James Matthew Rehg, Henry A. Kautz, Aidong Zhang
2025 J jnl
AugGPT: Leveraging ChatGPT for Text Data Augmentation.
IEEE Trans. Big Data
Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Yihan Cao, Zihao Wu, Lin Zhao, Shaochen Xu, Fang Zeng, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Lichao Sun, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li
2025 A conf
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.
CIKM
Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li
2025 A* conf
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing.
ICML
Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li
2025 J jnl
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing.
CoRR
Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li
2025 A* conf
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety.
ICML
Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti
2025 J jnl
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety.
CoRR
Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti
2025 — conf
Derailer-Rerailer: Adaptive Verification for Efficient and Reliable Language Model Reasoning.
ACL (Findings)
Guangya Wan, Yuqi Wu, Hao Wang, Shengming Zhao, Jie Chen, Sheng Li
2025 J jnl
Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English.
CoRR
Runtao Zhou, Guangya Wan, Saadia Gabriel, Sheng Li, Alexander J. Gates, Maarten Sap, Thomas Hartvigsen
2025 J jnl
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications.
IEEE Trans. Big Data
Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li
2025 B conf
Few-shot Fine-grained Image Classification with Interpretable Prompt Learning through Distribution Alignment.
ICMI
Dongliang Guo, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Nedim Lipka, Tong Yu, Sheng Li
2025 A* conf
Large Language Models for Causal Discovery: Current Landscape and Future Directions.
IJCAI
Guangya Wan, Yunsheng Lu, Yuqi Wu, Mengxuan Hu, Sheng Li
2025 A* conf
Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data.
ICLR
Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar S. Vullikanti, Sheng Li
2025 J jnl
Mixup Virtual Adversarial Training for Robust Vision Transformers.
IEEE Trans. Big Data
Weili Shi, Sheng Li
2025 — conf
Motion Reconstruction of an Inchworm Inspired Soft Robotic Climber Using Fiber Optic Sensors and Neural Network.
OFC
Mei Yang, Dongliang Guo, Sheng Li, Steven Binder, Cole Sterck, Mable P. Fok
2025 — conf
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.
EMNLP (Findings)
Mengxuan Hu, Hongyi Wu, Ronghang Zhu, Zihan Guan, Dongliang Guo, Daiqing Qi, Sheng Li
2025 J jnl
PharmacyGPT: exploration of artificial intelligence for medication management in the intensive care unit.
BMC Medical Informatics Decis. Mak.
Zhengliang Liu, Shaochen Xu, Zihao Wu, Brian Murray, Erin F. Barreto, Sheng Li, Wei Liu, Xiang Li, Tianming Liu, Andrea Sikora
2025 — conf
Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling.
NAACL (Long Papers)
Guangya Wan, Yuqi Wu, Jie Chen, Sheng Li
2025 A* conf
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety.
CVPR
Ronghang Zhu, Mengxuan Hu, Weiming Zhuang, Lingjuan Lyu, Xiang Yu, Sheng Li
2025 J jnl
The Photographer Eye: Teaching Multimodal Large Language Models to See and Critique like Photographers.
CoRR
Daiqing Qi, Handong Zhao, Jing Shi, Simon Jenni, Yifei Fan, Franck Dernoncourt, Scott Cohen, Sheng Li
2025 A* conf
The Photographer's Eye: Teaching Multimodal Large Language Models to See, and Critique Like Photographers.
CVPR
Daiqing Qi, Handong Zhao, Jing Shi, Simon Jenni, Yifei Fan, Franck Dernoncourt, Scott Cohen, Sheng Li
2025 B conf
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models.
IJCNN
Zhanwen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li
2025 A* conf
Trustworthy AI Meets Educational Assessment: Challenges and Opportunities.
AAAI
Sheng Li
2025 A* conf
UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models.
AAAI
Zihan Guan, Mengxuan Hu, Sheng Li, Anil Kumar S. Vullikanti
2025 A* conf
Unified Dense Prediction of Video Diffusion.
CVPR
Lehan Yang, Lu Qi, Xiangtai Li, Sheng Li, Varun Jampani, Ming-Hsuan Yang
2025 J jnl
Unified Dense Prediction of Video Diffusion.
CoRR
Lehan Yang, Lu Qi, Xiangtai Li, Sheng Li, Varun Jampani, Ming-Hsuan Yang
2025 J jnl
VRMDiff: Text-Guided Video Referring Matting Generation of Diffusion.
CoRR
Lehan Yang, Jincen Song, Tianlong Wang, Daiqing Qi, Weili Shi, Yuheng Liu, Sheng Li
2024 J jnl
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation.
CoRR
Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding
2024 J jnl
A Survey of Trustworthy Representation Learning Across Domains.
ACM Trans. Knowl. Discov. Data
Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li
2024 A conf
Ada-VAD: Domain Adaptable Video Anomaly Detection.
SDM
Dongliang Guo, Yun Fu, Sheng Li
2024 J jnl
BBCaL: Black-box Backdoor Detection under the Causality Lens.
Trans. Mach. Learn. Res.
Mengxuan Hu, Zihan Guan, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Sheng Li
2024 J jnl
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.
CoRR
Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li
2024 A* conf
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract).
AAAI
Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu
2024 J jnl
Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions.
CoRR
Guangya Wan, Yuqi Wu, Mengxuan Hu, Zhixuan Chu, Sheng Li
2024 J jnl
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks.
CoRR
Duna Zhan, Dongliang Guo, Pengsheng Ji, Sheng Li
2024 A* conf
Causal Inference with Latent Variables: Recent Advances and Future Prospectives.
KDD
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024 J jnl
Causal Inference with Latent Variables: Recent Advances and Future Prospectives.
CoRR
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024 J jnl
CoT Rerailer: Enhancing the Reliability of Large Language Models in Complex Reasoning Tasks through Error Detection and Correction.
CoRR
Guangya Wan, Yuqi Wu, Jie Chen, Sheng Li
2024 J jnl
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations.
IEEE Trans. Cogn. Dev. Syst.
Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu
2024 J jnl
DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estimation by Reweighted Disentangled Representation.
Trans. Mach. Learn. Res.
Mengxuan Hu, Zhixuan Chu, Sheng Li
2024 J jnl
Dual-windowed Vision Transformer with Angular Self- Attention.
Trans. Mach. Learn. Res.
Weili Shi, Sheng Li
2024 J jnl
Dynamic Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling.
CoRR
Guangya Wan, Yuqi Wu, Jie Chen, Sheng Li
2024 A* conf
Easy Regional Contrastive Learning of Expressive Fashion Representations.
NeurIPS
Daiqing Qi, Handong Zhao, Sheng Li
2024 J jnl
Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education.
Frontiers Artif. Intell.
Huibo Yang, Mengxuan Hu, Amoreena Most, W. Anthony Hawkins, Brian Murray, Susan E. Smith, Sheng Li, Andrea Sikora
2024 — conf
Generalizing to Unseen Domains via Text-Guided Augmentation: A Training-Free Approach.
ECCV (69)
Daiqing Qi, Handong Zhao, Aidong Zhang, Sheng Li
2024 J jnl
Graph Neural Networks for lightweight plant organ tracking.
Comput. Electron. Agric.
Daniel Petti, Ronghang Zhu, Sheng Li, Changying Li
2024 J jnl
Guest Editorial of the Special Section on Multimedia Sensing and Computing for Consumer Electronics.
IEEE Trans. Consumer Electron.
Mingbo Zhao, Sheng Li, Xiaojie Jin, David Zhiwei Gao
2024 A* conf
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation.
SIGIR
Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai
2024 J jnl
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation.
CoRR
Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai
2024 J jnl
LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation.
CoRR
Zhixuan Chu, Yan Wang, Qing Cui, Longfei Li, Wenqing Chen, Sheng Li, Zhan Qin, Kui Ren
2024 A* conf
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs.
AAAI
Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
2024 J jnl
Large pre-trained models for treatment effect estimation: Are we there yet?
Patterns
Sheng Li
2024 J jnl
Mask-guided BERT for few-shot text classification.
Neurocomputing
Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, David Liu, Dajiang Zhu, Sheng Li, Wei Liu, Tianming Liu, Quanzheng Li, Hongmin Cai, Xiang Li
2024 J jnl
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.
CoRR
Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li
2024 A* conf
Open-Set Graph Domain Adaptation via Separate Domain Alignment.
AAAI
Yu Wang, Ronghang Zhu, Pengsheng Ji, Sheng Li
2024 J jnl
Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis.
CoRR
Shaochen Xu, Zihao Wu, Huaqin Zhao, Peng Shu, Zhengliang Liu, Wenxiong Liao, Sheng Li, Andrea Sikora, Tianming Liu, Xiang Li
2024 J jnl
Reminding Multimodal Large Language Models of Object-aware Knowledge with Retrieved Tags.
CoRR
Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li
2024 J jnl
Revealing an Overlooked Challenge in Class-Incremental Graph Learning.
Trans. Mach. Learn. Res.
Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li
2024 A* conf
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation.
EMNLP
Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li
2024 A* conf
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction.
AAAI
Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li
2024 — conf
Text2Seg: Zero-shot Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models.
GeoAI@SIGSPATIAL
Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Mengxuan Hu, Zihan Guan, Sheng Li, Lan Mu
2024 J jnl
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models.
CoRR
Zhanwen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li
2024 J jnl
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models.
CoRR
Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti
2024 J jnl
Unsupervised Class-Imbalanced Domain Adaptation With Pairwise Adversarial Training and Semantic Alignment.
IEEE Trans. Circuits Syst. Video Technol.
Weili Shi, Ronghang Zhu, Sheng Li
2024 J jnl
Using explainable machine learning to uncover the kinase-substrate interaction landscape.
Bioinform.
Zhongliang Zhou, Wayland Yeung, Saber Soleymani, Nathan Gravel, Mariah Salcedo, Sheng Li, Natarajan Kannan
2023 J jnl
AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology.
CoRR
Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Angela Yao, Lu Shi, Quanzheng Li, Zhuo Chen, Donglan Zhang, Gengchen Mai, Tianming Liu
2023 J jnl
AGI for Agriculture.
CoRR
Guoyu Lu, Sheng Li, Gengchen Mai, Jin Sun, Dajiang Zhu, Lilong Chai, Haijian Sun, Xianqiao Wang, Haixing Dai, Ninghao Liu, Rui Xu, Daniel Petti, Changying Li, Tianming Liu
2023 — conf
Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years.
AI (1)
Weili Shi, Zhongliang Zhou, Benjamin H. Letcher, Nathaniel P. Hitt, Yoichiro Kanno, Ryo Futamura, Osamu Kishida, Kentaro Morita, Sheng Li
2023 J jnl
Alignment-free estimation of sequence conservation for identifying functional sites using protein sequence embeddings.
Briefings Bioinform.
Wayland Yeung, Zhongliang Zhou, Sheng Li, Natarajan Kannan
2023 J jnl
Artificial General Intelligence (AGI) for Education.
CoRR
Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, Xiaoming Zhai
2023 J jnl
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks.
CoRR
Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu
2023 A* conf
Better Generative Replay for Continual Federated Learning.
ICLR
Daiqing Qi, Handong Zhao, Sheng Li
2023 J jnl
Better Generative Replay for Continual Federated Learning.
CoRR
Daiqing Qi, Handong Zhao, Sheng Li
2023 A conf
Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning.
CIKM
Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li
2023 J jnl
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities.
CoRR
Zhixuan Chu, Jianmin Huang, Ruopeng Li, Wei Chu, Sheng Li
2023 J jnl
ChatAug: Leveraging ChatGPT for Text Data Augmentation.
CoRR
Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li
2023 J jnl
Co-Embedding of Nodes and Edges With Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaodong Jiang, Ronghang Zhu, Pengsheng Ji, Sheng Li
2023 — conf
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
BIBM
Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, Hongmin Cai
2023 J jnl
Concept-Level Model Interpretation From the Causal Aspect.
IEEE Trans. Knowl. Data Eng.
Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao
2023 A* conf
Continual Causal Inference with Incremental Observational Data.
ICDE
Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li
2023 J jnl
Continual Causal Inference with Incremental Observational Data.
CoRR
Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li
2023 — conf
Continual Optimization of In-Production Machine Learning Systems Through Semantic Analysis of User Feedback.
ICAART (3)
Hemadri Jayalath, Ghadeer I. Yassin, Lakshmish Ramaswamy, Sheng Li
2023 — conf
Continual Treatment Effect Estimation: Challenges and Opportunities.
AAAI Bridge Program
Zhixuan Chu, Sheng Li
2023 J jnl
Continual Treatment Effect Estimation: Challenges and Opportunities.
CoRR
Zhixuan Chu, Sheng Li
2023 J jnl
Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li
2023 J jnl
Data-Centric Financial Large Language Models.
CoRR
Zhixuan Chu, Huaiyu Guo, Xinyuan Zhou, Yijia Wang, Fei Yu, Hong Chen, Wanqing Xu, Xin Lu, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
2023 J jnl
Enhancing Recommender Systems with Large Language Model Reasoning Graphs.
CoRR
Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y. Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li
2023 A conf
Estimating Propensity Scores with Deep Adaptive Variable Selection.
SDM
Zhixuan Chu, Mechelle Claridy, José Cordero, Sheng Li, Stephen L. Rathbun
2023 J jnl
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications.
CoRR
Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li
2023 A* conf
Fair Attribute Completion on Graph with Missing Attributes.
ICLR
Dongliang Guo, Zhixuan Chu, Sheng Li
2023 J jnl
Fair Attribute Completion on Graph with Missing Attributes.
CoRR
Dongliang Guo, Zhixuan Chu, Sheng Li
2023 A* conf
Frame Flexible Network.
CVPR
Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu
2023 J jnl
Frame Flexible Network.
CoRR
Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu
2023 — conf
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
2023 A* conf
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes.
IJCAI
Zhaiming Shen, Ming-Jun Lai, Sheng Li
2023 J jnl
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference.
CoRR
Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
2023 J jnl
Leveraging Large Language Models for Pre-trained Recommender Systems.
CoRR
Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y. Zhang, Sheng Li
2023 J jnl
Mask-guided BERT for Few Shot Text Classification.
CoRR
Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, Dajiang Zhu, Tianming Liu, Sheng Li, Xiang Li, Hongmin Cai
2023 A conf
More Knowledge, Less Bias: Unbiasing Scene Graph Generation with Explicit Ontological Adjustment.
WACV
Zhanwen Chen, Saed Rezayi, Sheng Li
2023 J jnl
Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability.
CoRR
Lian Zhang, Jason M. Holmes, Zhengliang Liu, Hongying Feng, Terence T. Sio, Carlos E. Vargas, Sameer R. Keole, Kristin Stützer, Sheng Li, Tianming Liu, Jiajian Shen, William W. Wong, Sujay A. Vora, Wei Liu
2023 J jnl
PharmacyGPT: The AI Pharmacist.
CoRR
Zhengliang Liu, Zihao Wu, Mengxuan Hu, Bokai Zhao, Lin Zhao, Tianyi Zhang, Haixing Dai, Xianyan Chen, Ye Shen, Sheng Li, Brian Murray, Tianming Liu, Andrea Sikora
2023 J jnl
Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions.
Bioinform.
Zhongliang Zhou, Wayland Yeung, Nathan Gravel, Mariah Salcedo, Saber Soleymani, Sheng Li, Natarajan Kannan
2023 J jnl
Physics-guided machine learning from simulated data with different physical parameters.
Knowl. Inf. Syst.
Shengyu Chen, Nasrin Kalanat, Yiqun Xie, Sheng Li, Jacob A. Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha K. Oliver, Jordan S. Read, Xiaowei Jia
2023 A* conf
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer.
ICLR
Ronghang Zhu, Xiang Yu, Sheng Li
2023 J jnl
Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation.
Trans. Mach. Learn. Res.
Ronghang Zhu, Xiang Yu, Sheng Li
2023 J jnl
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction.
CoRR
Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li
2023 J jnl
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models.
CoRR
Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Lan Mu, Mengxuan Hu, Sheng Li
2023 J jnl
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges.
CoRR
Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, Wenzhan Song
2023 J jnl
Towards Explainable Visual Anomaly Detection.
CoRR
Yizhou Wang, Dongliang Guo, Sheng Li, Yun Fu
2023 A conf
Towards Trustworthy Representation Learning.
SDM
Sheng Li
2023 J jnl
Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies.
Briefings Bioinform.
Wayland Yeung, Zhongliang Zhou, Liju Mathew, Nathan Gravel, Rahil Taujale, Brady O'boyle, Mariah Salcedo, Aarya Venkat, William Lanzilotta, Sheng Li, Natarajan Kannan
2023 J jnl
Trustworthy Representation Learning Across Domains.
CoRR
Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li
2023 J jnl
XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications.
CoRR
Zhongliang Zhou, Mengxuan Hu, Mariah Salcedo, Nathan Gravel, Wayland Yeung, Aarya Venkat, Dongliang Guo, Jielu Zhang, Natarajan Kannan, Sheng Li
2023 A conf
XDC: Adaptive Cross Domain Short Text Clustering.
SDM
Saed Rezayi, Handong Zhao, Ronghang Zhu, Sheng Li
2023 A* conf
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting.
IJCAI
Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li
2023 J jnl
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting.
CoRR
Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li
2022 A* conf
AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition.
IJCAI
Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, Sheng Li
2022 A conf
Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty.
CIKM
Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao
2022 — conf
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition.
MLMI@MICCAI
Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H. Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, Sheng Li, Tianming Liu, Xiang Li
2022 J jnl
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
CoRR
Hongmin Cai, Wenxiong Liao, Zhengliang Liu, Xiaoke Huang, Yiyang Zhang, Siqi Ding, Sheng Li, Quanzheng Li, Tianming Liu, Xiang Li
2022 A conf
Collaborative Attention Mechanism for Multi-Modal Time Series Classification.
SDM
Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu
2022 J jnl
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations.
CoRR
Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu
2022 A* conf
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization.
ICLR
Ronghang Zhu, Sheng Li
2022 J jnl
Editorial: Deep dictionary learning: Algorithm, theory and application.
Neurocomputing
Zhao Zhang, Meng Wang, Sheng Li, Zheng Zhang
2022 A conf
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect.
CIKM
Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li
2022 J jnl
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect.
CoRR
Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li
2022 B conf
Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training.
IEEE Big Data
Weili Shi, Sheng Li
2022 J jnl
Knowledge-Guided Article Embedding Refinement for Session-Based News Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Heng-Shiou Sheu, Zhixuan Chu, Daiqing Qi, Sheng Li
2022 A conf
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data.
SDM
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2022 J jnl
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data.
CoRR
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2022 — conf
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials.
CHIL
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2022 J jnl
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials.
CoRR
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2022 A* conf
Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation.
KDD
Weili Shi, Ronghang Zhu, Sheng Li
2022 B conf
Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification.
IEEE Big Data
Zhongliang Zhou, Nathaniel P. Hitt, Benjamin H. Letcher, Weili Shi, Sheng Li
2022 A conf
Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation.
SDM
Ronghang Zhu, Sheng Li
2022 J jnl
Semi-supervised Local Cluster Extraction by Compressive Sensing.
CoRR
Zhaiming Shen, Ming-Jun Lai, Sheng Li
2022 A* conf
XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract).
AAAI
Saed Rezayi, Handong Zhao, Sheng Li
2021 B conf
2.5D Pose Guided Human Image Generation.
ICMR
Kang Yuan, Sheng Li
2021 — conf
A Framework for Knowledge-Derived Query Suggestions.
IEEE BigData
Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy Holloway King, Sheng Li
2021 J jnl
A Survey on Causal Inference.
ACM Trans. Knowl. Discov. Data
Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
2021 J jnl
Adversarial Memory Networks for Action Prediction.
CoRR
Zhiqiang Tao, Yue Bai, Handong Zhao, Sheng Li, Yu Kong, Yun Fu
2021 A* conf
Automated Graph Learning via Population Based Self-Tuning GCN.
SIGIR
Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
2021 J jnl
Automated Graph Learning via Population Based Self-Tuning GCN.
CoRR
Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
2021 A* conf
Correlative Channel-Aware Fusion for Multi-View Time Series Classification.
AAAI
Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu
2021 — conf
Edge: Enriching Knowledge Graph Embeddings with External Text.
NAACL-HLT
Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li
2021 J jnl
Edge: Enriching Knowledge Graph Embeddings with External Text.
CoRR
Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li
2021 J jnl
Editorial: IMAVIS special issue on deep cross-media neural model for generating image descriptions.
Image Vis. Comput.
Zhao Zhang, Sheng Li, Meng Wang, Shuicheng Yan
2021 J jnl
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering.
IEEE Trans. Knowl. Data Eng.
Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang
2021 A* conf
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data.
KDD
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2021 J jnl
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data.
CoRR
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2021 A* conf
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.
ICDM
Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
2021 A conf
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation.
CIKM
Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang
2021 A* conf
Self-supervised Universal Domain Adaptation with Adaptive Memory Separation.
ICDM
Ronghang Zhu, Sheng Li
2021 — conf
Socially Aware Multimodal Deep Neural Networks for Fake News Classification.
MIPR
Saed Rezayi, Saber Soleymani, Hamid R. Arabnia, Sheng Li
2021 A conf
Transferable Feature Learning on Graphs Across Visual Domains.
ICME
Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li
2020 J jnl
A Survey on Causal Inference.
CoRR
Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
2020 A* conf
A Survey on Representation Learning for User Modeling.
IJCAI
Sheng Li, Handong Zhao
2020 A* conf
Causal Inference Meets Machine Learning.
KDD
Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao
2020 J jnl
Co-embedding of Nodes and Edges with Graph Neural Networks.
CoRR
Xiaodong Jiang, Ronghang Zhu, Pengsheng Ji, Sheng Li
2020 J jnl
Collaborative Attention Mechanism for Multi-View Action Recognition.
CoRR
Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu
2020 A conf
Context-aware Graph Embedding for Session-based News Recommendation.
RecSys
Heng-Shiou Sheu, Sheng Li
2020 A conf
Learning Discriminative Virtual Sequences for Time Series Classification.
CIKM
Abhilash Dorle, Fangyu Li, Wenzhan Song, Sheng Li
2020 J jnl
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space.
IEEE Trans. Image Process.
Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang
2020 J jnl
Marginalized Multiview Ensemble Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
2020 A conf
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation.
CIKM
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2020 J jnl
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation.
CoRR
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2020 J jnl
Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction.
BMC Bioinform.
Liang-Chin Huang, Wayland Yeung, Ye Wang, Huimin Cheng, Aarya Venkat, Sheng Li, Ping Ma, Khaled Rasheed, Natarajan Kannan
2020 J jnl
Smart Home Monitoring System via Footstep-Induced Vibrations.
IEEE Syst. J.
Fangyu Li, José Clemente, Maria Valero, Zion Tse, Sheng Li, Wenzhan Song
2020 J jnl
Stereotype-Free Classification of Fictitious Faces.
CoRR
Mohammadhossein Toutiaee, Soheyla Amirian, John A. Miller, Sheng Li
2019 A* conf
ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation.
ICDM
Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
2019 A* conf
Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery.
ICDM
Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha, Meng Wang
2019 J jnl
Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery.
CoRR
Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha, Meng Wang
2019 A* conf
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks.
IJCAI
Xiaodong Jiang, Pengsheng Ji, Sheng Li
2019 A conf
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior.
WSDM
Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh
2019 A* conf
Fast Spatio-Temporal Residual Network for Video Super-Resolution.
CVPR
Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
2019 J jnl
Fast Spatio-Temporal Residual Network for Video Super-Resolution.
CoRR
Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
2019 J jnl
Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering.
CoRR
Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang
2019 J jnl
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space.
CoRR
Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang
2019 A* conf
Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit.
KDD
Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu
2019 J jnl
Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality.
Neural Networks
Zhengming Li, Zheng Zhang, Jie Qin, Sheng Li, Hongmin Cai
2019 J jnl
Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism.
CoRR
Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu
2019 A* conf
On the Estimation of Treatment Effect with Text Covariates.
IJCAI
Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang
2019 — conf
Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster.
IEEE BigData
YuQi Fu, Shaolun Zhang, Jose Terrero, Ying Mao, Guangya Liu, Sheng Li, Dingwen Tao
2019 J jnl
Robust Spectral Ensemble Clustering via Rank Minimization.
ACM Trans. Knowl. Discov. Data
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
2019 A* conf
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation.
ACM Multimedia
Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zhengjun Zha, Meng Wang
2019 J jnl
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation.
CoRR
Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zheng-Jun Zha, Meng Wang
2019 J jnl
Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering.
CoRR
Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan
2019 Misc conf
Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering.
ICASSP
Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan
2019 A* conf
SADIH: Semantic-Aware DIscrete Hashing.
AAAI
Zheng Zhang, Guo-Sen Xie, Yang Li, Sheng Li, Zi Huang
2019 J jnl
SADIH: Semantic-Aware DIscrete Hashing.
CoRR
Zheng Zhang, Guo-Sen Xie, Yang Li, Sheng Li, Zi Huang
2019 A* conf
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning.
IJCAI
Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin
2019 J jnl
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning.
CoRR
Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin
2019 A* conf
Scene Graph Generation With External Knowledge and Image Reconstruction.
CVPR
Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling
2019 J jnl
Scene Graph Generation with External Knowledge and Image Reconstruction.
CoRR
Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling
2019 A conf
Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection.
SDM
Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar
2019 J jnl
Supervised Transfer Learning for Product Information Question Answering.
CoRR
Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li
2019 J jnl
Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning.
IEEE Trans. Neural Networks Learn. Syst.
Kai Li, Zhengming Ding, Sheng Li, Yun Fu
2019 A* conf
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?
KDD
Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar
2019 A* conf
Training Streaming Factorization Machines with Alternating Least Squares.
SIGIR
Xueyu Mao, Saayan Mitra, Sheng Li
2019 J jnl
Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation.
IEEE Trans. Knowl. Data Eng.
Yan Zhang, Zhao Zhang, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang, Shuicheng Yan
2019 J jnl
Visual to Text: Survey of Image and Video Captioning.
IEEE Trans. Emerg. Top. Comput. Intell.
Sheng Li, Zhiqiang Tao, Kang Li, Yun Fu
2019 J jnl
Witness detection in multi-instance regression and its application for age estimation.
Multim. Tools Appl.
Jianyi Liu, Rui Qiao, Yueying Li, Sheng Li
2018 B conf
A Review on Deep Learning Techniques Applied to Answer Selection.
COLING
Tuan Manh Lai, Trung Bui, Sheng Li
2018 — conf
A Simple End-to-End Question Answering Model for Product Information.
ECONLP@ACL
Tuan Manh Lai, Trung Bui, Sheng Li, Nedim Lipka
2018 A* conf
Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests.
AAAI
Shumin Jing, Sheng Li
2018 A* conf
Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification.
AAAI
Kai Li, Zhengming Ding, Sheng Li, Yun Fu
2018 J jnl
Early Recognition of 3D Human Actions.
ACM Trans. Multim. Comput. Commun. Appl.
Sheng Li, Kang Li, Yun Fu
2018 — conf
Generic Embedded Semantic Dictionary for Robust Multi-Label Classification.
ICBK
Zhengming Ding, Ming Shao, Sheng Li, Yun Fu
2018 — conf
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation.
ECCV (2)
Zhengming Ding, Sheng Li, Ming Shao, Yun Fu
2018 J jnl
Infinite ensemble clustering.
Data Min. Knowl. Discov.
Hongfu Liu, Ming Shao, Sheng Li, Yun Fu
2018 A* conf
Latent Discriminant Subspace Representations for Multi-View Outlier Detection.
AAAI
Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu
2018 J jnl
Multi-View Low-Rank Analysis with Applications to Outlier Detection.
ACM Trans. Knowl. Discov. Data
Sheng Li, Ming Shao, Yun Fu
2018 J jnl
Person Re-Identification by Cross-View Multi-Level Dictionary Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Sheng Li, Ming Shao, Yun Fu
2018 A* conf
Representation Learning for Treatment Effect Estimation from Observational Data.
NeurIPS
Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
2018 B conf
Robust Adaptive Label Propagation by Double Matrix Decomposition.
ICPR
Huan Zhang, Zhao Zhang, Sheng Li, Qiaolin Ye, Mingbo Zhao, Meng Wang
2018 B conf
Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding.
ICPR
Zhao Zhang, Weiming Jiang, Sheng Li, Jie Qin, Guangcan Liu, Shuicheng Yan
2018 B conf
Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning.
ICPR
Jiahuan Ren, Zhao Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan
2018 J jnl
SLMOML: Online Metric Learning With Global Convergence.
IEEE Trans. Circuits Syst. Video Technol.
Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu
2018 J jnl
Self-Taught Low-Rank Coding for Visual Learning.
IEEE Trans. Neural Networks Learn. Syst.
Sheng Li, Kang Li, Yun Fu
2018 — conf
Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation.
PRICAI (1)
Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin
2018 J jnl
Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions.
IEEE Trans. Image Process.
Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu
2018 C conf
Supervised Transfer Learning for Product Information Question Answering.
ICMLA
Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li
2017 A* conf
From Ensemble Clustering to Multi-View Clustering.
IJCAI
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
2017 — conf
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation.
NIPS
Sheng Li, Yun Fu
2017 — conf
Multi-view graph learning with adaptive label propagation.
IEEE BigData
Sheng Li, Hongfu Liu, Zhiqiang Tao, Yun Fu
2017 — book
Robust Representation for Data Analytics - Models and Applications
Sheng Li, Yun Fu
2017 — conf
Robust multi-label semi-supervised classification.
IEEE BigData
Sheng Li, Yun Fu
2017 J jnl
Videography-Based Unconstrained Video Analysis.
IEEE Trans. Image Process.
Kang Li, Sheng Li, Sangmin Oh, Yun Fu
2016 A* conf
Infinite Ensemble for Image Clustering.
KDD
Hongfu Liu, Ming Shao, Sheng Li, Yun Fu
2016 A* conf
Learning Robust Representations for Data Analytics.
IJCAI
Sheng Li
2016 J jnl
Learning Robust and Discriminative Subspace With Low-Rank Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Sheng Li, Yun Fu
2016 A* conf
Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns.
IJCAI
Sheng Li, Nikos Vlassis, Jaya Kawale, Yun Fu
2016 A conf
Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach.
CIKM
Sheng Li, Yaliang Li, Yun Fu
2016 A conf
Robust Spectral Ensemble Clustering.
CIKM
Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu
2016 B conf
Scalable large margin online metric learning.
IJCNN
Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu
2016 B conf
Unsupervised transfer learning via Low-Rank Coding for image clustering.
IJCNN
Sheng Li, Yun Fu
2015 A* conf
Cross-View Projective Dictionary Learning for Person Re-Identification.
IJCAI
Sheng Li, Ming Shao, Yun Fu
2015 A conf
Deep Collaborative Filtering via Marginalized Denoising Auto-encoder.
CIKM
Sheng Li, Jaya Kawale, Yun Fu
2015 A* conf
Deep Linear Coding for Fast Graph Clustering.
IJCAI
Ming Shao, Sheng Li, Zhengming Ding, Yun Fu
2015 J jnl
Learning Balanced and Unbalanced Graphs via Low-Rank Coding.
IEEE Trans. Knowl. Data Eng.
Sheng Li, Yun Fu
2015 A conf
Multi-View Low-Rank Analysis for Outlier Detection.
SDM
Sheng Li, Ming Shao, Yun Fu
2015 A* conf
Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization.
SIGIR
Sheng Li, Jaya Kawale, Yun Fu
2015 A* conf
Temporal Subspace Clustering for Human Motion Segmentation.
ICCV
Sheng Li, Kang Li, Yun Fu
2014 A* conf
Early Classification of Ongoing Observation.
ICDM
Kang Li, Sheng Li, Yun Fu
2014 J jnl
Learning low-rank and discriminative dictionary for image classification.
Image Vis. Comput.
Liangyue Li, Sheng Li, Yun Fu
2014 A conf
Learning relative features through adaptive pooling for image classification.
ICME
Ming Shao, Sheng Li, Tongliang Liu, Dacheng Tao, Thomas S. Huang, Yun Fu
2014 B conf
Locality linear fitting one-class SVM with low-rank constraints for outlier detection.
IJCNN
Sheng Li, Ming Shao, Yun Fu
2014 — ch.
Low-Rank Outlier Detection.
Low-Rank and Sparse Modeling for Visual Analysis
Sheng Li, Ming Shao, Yun Fu
2014 — ch.
Low-Rank and Sparse Dictionary Learning.
Low-Rank and Sparse Modeling for Visual Analysis
Sheng Li, Liangyue Li, Yun Fu
2014 A conf
Robust Subspace Discovery through Supervised Low-Rank Constraints.
SDM
Sheng Li, Yun Fu
2014 J jnl
Submanifold Decomposition.
IEEE Trans. Circuits Syst. Video Technol.
Ya Su, Sheng Li, Shengjin Wang, Yun Fu
2013 B conf
Discriminative dictionary learning with low-rank regularization for face recognition.
FG
Liangyue Li, Sheng Li, Yun Fu
2013 A* conf
Low-Rank Coding with b-Matching Constraint for Semi-Supervised Classification.
IJCAI
Sheng Li, Yun Fu
2012 J jnl
Face feature extraction and recognition based on discriminant subclass-center manifold preserving projection.
Pattern Recognit. Lett.
Xiao-Yuan Jing, Chao Lan, David Zhang, Jing-Yu Yang, Min Li, Sheng Li, Songhao Zhu
2012 J jnl
Optimal subset-division based discrimination and its kernelization for face and palmprint recognition.
Pattern Recognit.
Xiao-Yuan Jing, Sheng Li, David Zhang, Chao Lan, Jingyu Yang
2012 J jnl
Palmprint and Face Multi-Modal Biometric Recognition Based on SDA-GSVD and Its Kernelization.
Sensors
Xiao-Yuan Jing, Sheng Li, Wenqian Li, Yong-Fang Yao, Chao Lan, Jiasen Lu, Jing-Yu Yang
2012 J jnl
Supervised and Unsupervised Parallel Subspace Learning for Large-Scale Image Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Xiao-Yuan Jing, Sheng Li, David Zhang, Jian Yang, Jing-Yu Yang
2011 B conf
A novel kernel discriminant feature extraction framework based on mapped virtual samples for face recognition.
ICIP
Sheng Li, Xiao-Yuan Jing, David Zhang, Yong-Fang Yao, Lu-Sha Bian
2011 J jnl
Color image canonical correlation analysis for face feature extraction and recognition.
Signal Process.
Xiao-Yuan Jing, Sheng Li, Chao Lan, David Zhang, Jingyu Yang, Qian Liu
2011 B conf
Face recognition based on local uncorrelated and weighted global uncorrelated discriminant transforms.
ICIP
Xiao-Yuan Jing, Sheng Li, David Zhang, Jingyu Yang
2011 — conf
Supervised local sparsity preserving projection for face feature extraction.
ACPR
Xiao-Yuan Jing, Sheng Li, Songhao Zhu, Qian Liu, Jingyu Yang, Jiasen Lu
2010 J jnl
Facial Image Recognition Based on a Statistical Uncorrelated Near Class Discriminant Approach.
IEICE Trans. Inf. Syst.
Sheng Li, Xiao-Yuan Jing, Lu-Sha Bian, Shi-Qiang Gao, Qian Liu, Yong-Fang Yao
2010 B conf
Holistic orthogonal analysis of discriminant transforms for color face recognition.
ICIP
Xiao-Yuan Jing, Qian Liu, Chao Lan, Jiang-Yue Man, Sheng Li, David Zhang
2010 B conf
Kernel Uncorrelated Adjacent-class Discriminant Analysis.
ICPR
Xiao-Yuan Jing, Sheng Li, Yong-Fang Yao, Lu-Sha Bian, Jingyu Yang
2009 — conf
A Regularized Nonlinear Discrimination Approach.
WGEC
Xiao-Yuan Jing, Shou Gao, Yong-Fang Yao, Sheng Li, Shi-Qiang Gao, Shu Wu, Feng-Nan Yu, Yong-Chuan Zhang
2009 J jnl
Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV.
IEICE Trans. Inf. Syst.
Sheng Li, Yong-Fang Yao, Xiao-Yuan Jing, Heng Chang, Shi-Qiang Gao, David Zhang, Jing-Yu Yang
2009 — conf
Face Recognition Based on a Gabor-2DFisherface Approach with Selecting 2D Gabor Principal Components and Discriminant Vectors.
WGEC
Xiao-Yuan Jing, Heng Chang, Sheng Li, Yong-Fang Yao, Qian Liu, Lu-Sha Bian, Jiang-Yue Man, Chao Wang