Li, Sheng

76 publications

ICML 2025 BalancEdit: Dynamically Balancing the Generality-Locality Trade-Off in Multi-Modal Model Editing Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li

ICML 2025 Benign Samples Matter! Fine-Tuning on Outlier Benign Samples Severely Breaks Safety Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti

AAAI 2025 Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal Yicheng Leng, Chaowei Fang, Junye Chen, Yixiang Fang, Sheng Li, Guanbin Li

AAAI 2025 Embedding Robust Watermarking into Pattern to Protect the Copyright of Ceramic Artifacts Lei Tan, Yuliang Xue, Guobiao Li, Zhenxing Qian, Sheng Li, Chunlei Bao

NeurIPS 2025 Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding Daiqing Qi, Dongliang Guo, Hanzhang Yuan, Handong Zhao, Mengxuan Hu, Lehan Yang, Sheng Li

IJCAI 2025 Large Language Models for Causal Discovery: Current Landscape and Future Directions Guangya Wan, Yunsheng Lu, Yuqi Wu, Mengxuan Hu, Sheng Li

ICLR 2025 Mind Control Through Causal Inference: Predicting Clean Images from Poisoned Data Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar Vullikanti, Sheng Li

ICCV 2025 MoFRR: Mixture of Diffusion Models for Face Retouching Restoration Jiaxin Liu, Qichao Ying, Zhenxing Qian, Sheng Li, Runqi Zhang, Jian Liu, Xinpeng Zhang

ICLR 2025 Mutual Effort for Efficiency: A Similarity-Based Token Pruning for Vision Transformers in Self-Supervised Learning Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan

AAAI 2025 Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed Trademarks Yuliang Xue, Lei Tan, Guobiao Li, Zhenxing Qian, Sheng Li, Xinpeng Zhang

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

CVPR 2025 Subspace Constraint and Contribution Estimation for Heterogeneous Federated Learning Xiangtao Zhang, Sheng Li, Ao Li, Yipeng Liu, Fan Zhang, Ce Zhu, Le Zhang

CVPR 2025 The Photographer's Eye: Teaching Multimodal Large Language Models to See, and Critique like Photographers Daiqing Qi, Handong Zhao, Jing Shi, Simon Jenni, Yifei Fan, Franck Dernoncourt, Scott Cohen, Sheng Li

AAAI 2025 Trustworthy AI Meets Educational Assessment: Challenges and Opportunities Sheng Li

AAAI 2025 UFID: A Unified Framework for Black-Box Input-Level Backdoor Detection on Diffusion Models Zihan Guan, Mengxuan Hu, Sheng Li, Anil Kumar S. Vullikanti

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

CVPR 2025 Watermarking One for All: A Robust Watermarking Scheme Against Partial Image Theft Gaozhi Liu, Silu Cao, Zhenxing Qian, Xinpeng Zhang, Sheng Li, Wanli Peng

TMLR 2024 BBCaL: Black-Box Backdoor Detection Under the Causality Lens Mengxuan Hu, Zihan Guan, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Sheng Li

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

TMLR 2024 DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estimation by Reweighted Disentangled Representation Mengxuan Hu, Zhixuan Chu, Sheng Li

NeurIPS 2024 Disentangled Style Domain for Implicit $z$-Watermark Towards Copyright Protection Junqiang Huang, Zhaojun Guo, Ge Luo, Zhenxing Qian, Sheng Li, Xinpeng Zhang

TMLR 2024 Dual-Windowed Vision Transformer with Angular Self- Attention Weili Shi, Sheng Li

NeurIPS 2024 Easy Regional Contrastive Learning of Expressive Fashion Representations Daiqing Qi, Handong Zhao, Sheng Li

AutoML 2024 FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search Jordan Dotzel, Gang Wu, Andrew Li, Muhammad Umar, Yun Ni, Mohamed S Abdelfattah, Zhiru Zhang, Liqun Cheng, Martin G Dixon, Norman P Jouppi, Quoc V Le, Sheng Li

AAAI 2024 Frozen CLIP Transformer Is an Efficient Point Cloud Encoder Xiaoshui Huang, Zhou Huang, Sheng Li, Wentao Qu, Tong He, Yuenan Hou, Yifan Zuo, Wanli Ouyang

ECCV 2024 Generalizing to Unseen Domains via Text-Guided Augmentation Daiqing Qi, Handong Zhao, Aidong Zhang, Sheng Li

AAAI 2024 LLMRG: Improving Recommendations Through Large Language Model Reasoning Graphs 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

ICML 2024 Learning from Students: Applying T-Distributions to Explore Accurate and Efficient Formats for LLMs Jordan Dotzel, Yuzong Chen, Bahaa Kotb, Sushma Prasad, Gang Wu, Sheng Li, Mohamed S Abdelfattah, Zhiru Zhang

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

CVPR 2024 Purified and Unified Steganographic Network Guobiao Li, Sheng Li, Zicong Luo, Zhenxing Qian, Xinpeng Zhang

TMLR 2024 Revealing an Overlooked Challenge in Class-Incremental Graph Learning Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li

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

ICLR 2024 Waxing-and-Waning: A Generic Similarity-Based Framework for Efficient Self-Supervised Learning Sheng Li, Chao Wu, Ao Li, Yanzhi Wang, Xulong Tang, Geng Yuan

ICLR 2023 Better Generative Replay for Continual Federated Learning Daiqing Qi, Handong Zhao, Sheng Li

ICCV 2023 DRAW: Defending Camera-Shooted RAW Against Image Manipulation Xiaoxiao Hu, Qichao Ying, Zhenxing Qian, Sheng Li, Xinpeng Zhang

ICLR 2023 Fair Attribute Completion on Graph with Missing Attributes Dongliang Guo, Zhixuan Chu, Sheng Li

CVPR 2023 Frame Flexible Network Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu

IJCAI 2023 Graph-Based Semi-Supervised Local Clustering with Few Labeled Nodes Zhaiming Shen, Ming-Jun Lai, Sheng Li

WACV 2023 More Knowledge, Less Bias: Unbiasing Scene Graph Generation with Explicit Ontological Adjustment Zhanwen Chen, Saed Rezayi, Sheng Li

ICLR 2023 Progressive Mix-up for Few-Shot Supervised Multi-Source Domain Transfer Ronghang Zhu, Ronghang Zhu, Xiang Yu, Sheng Li

TMLR 2023 Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation Ronghang Zhu, Xiang Yu, Sheng Li

ICLR 2023 SmartFRZ: An Efficient Training Framework Using Attention-Based Layer Freezing Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang

AAAI 2023 Steganography of Steganographic Networks Guobiao Li, Sheng Li, Meiling Li, Xinpeng Zhang, Zhenxing Qian

ICCV 2023 TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao

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

IJCAI 2022 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, Sheng Li

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

NeurIPS 2022 Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training Geng Yuan, Yanyu Li, Sheng Li, Zhenglun Kong, Sergey Tulyakov, Xulong Tang, Yanzhi Wang, Jian Ren

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

AAAI 2022 Patch Diffusion: A General Module for Face Manipulation Detection Baogen Zhang, Sheng Li, Guorui Feng, Zhenxing Qian, Xinpeng Zhang

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

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

CVPR 2021 Searching for Fast Model Families on Datacenter Accelerators Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi

IJCAI 2020 A Survey on Representation Learning for User Modeling Sheng Li, Handong Zhao

WACV 2020 Global Co-Occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-Based Action Recognition Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian

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

IJCAI 2019 On the Estimation of Treatment Effect with Text Covariates Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang

AAAI 2019 SADIH: Semantic-Aware DIscrete Hashing Zheng Zhang, Guo-Sen Xie, Yang Li, Sheng Li, Zi Huang

IJCAI 2019 Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin

IJCAI 2019 Self-Attentive Biaffine Dependency Parsing Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si

AAAI 2018 A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan

AAAI 2018 Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests Shumin Jing, Sheng Li

AAAI 2018 Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification Kai Li, Zhengming Ding, Sheng Li, Yun Fu

ECCV 2018 Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation Zhengming Ding, Sheng Li, Ming Shao, Yun Fu

AAAI 2018 Latent Discriminant Subspace Representations for Multi-View Outlier Detection Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu

NeurIPS 2018 Representation Learning for Treatment Effect Estimation from Observational Data Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang

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

NeurIPS 2017 Matching on Balanced Nonlinear Representations for Treatment Effects Estimation Sheng Li, Yun Fu

IJCAI 2016 Learning Robust Representations for Data Analytics Sheng Li

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

IJCAI 2015 Cross-View Projective Dictionary Learning for Person Re-Identification Sheng Li, Ming Shao, Yun Fu

IJCAI 2015 Deep Linear Coding for Fast Graph Clustering Ming Shao, Sheng Li, Zhengming Ding, Yun Fu

ICCV 2015 Temporal Subspace Clustering for Human Motion Segmentation Sheng Li, Kang Li, Yun Fu

IJCAI 2013 Fusion of Word and Letter Based Metrics for Automatic MT Evaluation Muyun Yang, Junguo Zhu, Sheng Li, Tiejun Zhao

IJCAI 2013 Low-Rank Coding with B-Matching Constraint for Semi-Supervised Classification Sheng Li, Yun Fu

IJCAI 2007 Automatic Acquisition of Context-Specific Lexical Paraphrases Shiqi Zhao, Ting Liu, Xincheng Yuan, Sheng Li, Yu Zhang