Li, Shuang

87 publications

ICML 2025 Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization Zhangyi Liu, Feng Liu, Rui Gao, Shuang Li

NeurIPS 2025 DeepHalo: A Neural Choice Model with Controllable Context Effects Shuhan Zhang, Zhi Wang, Rui Gao, Shuang Li

ICML 2025 Evolving Minds: Logic-Informed Inference from Temporal Action Patterns Chao Yang, Shuting Cui, Yang Yang, Shuang Li

UAI 2025 Flow-Based Delayed Hawkes Process Chao Yang, Wendi Ren, Shuang Li

ICML 2025 From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection Lincan Cai, Jingxuan Kang, Shuang Li, Wenxuan Ma, Binhui Xie, Zhida Qin, Jian Liang

ICML 2025 Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains Zhuo He, Shuang Li, Wenze Song, Longhui Yuan, Jian Liang, Han Li, Kun Gai

ICLR 2025 Logic-Logit: A Logic-Based Approach to Choice Modeling Shuhan Zhang, Wendi Ren, Shuang Li

ICLR 2025 Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch

ICLR 2024 Amortized Network Intervention to Steer the Excitatory Point Processes Zitao Song, Wendi Ren, Shuang Li

ICLR 2024 An Unforgeable Publicly Verifiable Watermark for Large Language Models Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu

AAAI 2024 Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding Jingping Liu, Mingchuan Zhang, Weichen Li, Chao Wang, Shuang Li, Haiyun Jiang, Sihang Jiang, Yanghua Xiao, Yunwen Chen

ICML 2024 Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation Lincan Cai, Shuang Li, Wenxuan Ma, Jingxuan Kang, Binhui Xie, Zixun Sun, Chengwei Zhu

ICLR 2024 Enhancing Human-AI Collaboration Through Logic-Guided Reasoning Chengzhi Cao, Yinghao Fu, Sheng Xu, Ruimao Zhang, Shuang Li

NeurIPS 2024 Exploring Structured Semantic Priors Underlying Diffusion Score for Test-Time Adaptation Mingjia Li, Shuang Li, Tongrui Su, Longhui Yuan, Jian Liang, Wei Li

TMLR 2024 From Persona to Personalization: A Survey on Role-Playing Language Agents Jiangjie Chen, Xintao Wang, Rui Xu, Siyu Yuan, Yikai Zhang, Wei Shi, Jian Xie, Shuang Li, Ruihan Yang, Tinghui Zhu, Aili Chen, Nianqi Li, Lida Chen, Caiyu Hu, Siye Wu, Scott Ren, Ziquan Fu, Yanghua Xiao

NeurIPS 2024 HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets Yang Yang, Wendi Ren, Shuang Li

ICML 2024 Improving Factuality and Reasoning in Language Models Through Multiagent Debate Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch

ICML 2024 Latent Logic Tree Extraction for Event Sequence Explanation from LLMs Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li

ICML 2024 Learning Modality Knowledge Alignment for Cross-Modality Transfer Wenxuan Ma, Shuang Li, Lincan Cai, Jingxuan Kang

ICML 2024 Neuro-Symbolic Temporal Point Processes Yang Yang, Chao Yang, Boyang Li, Yinghao Fu, Shuang Li

ICMLW 2024 Towards Efficient Large-Scale Language-3D Representation Learning Shentong Mo, Xiaogang Xu, Tongzhou Wang, Antonio Torralba, Shuang Li

AAAI 2024 Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models Shuang Li, Jiangjie Chen, Siyu Yuan, Xinyi Wu, Hao Yang, Shimin Tao, Yanghua Xiao

AISTATS 2024 Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation Yiling Kuang, Chao Yang, Yang Yang, Shuang Li

CVPRW 2024 Wake-Sleep Energy Based Models for Continual Learning Vaibhav Singh, Anna Choromanska, Shuang Li, Yilun Du

NeurIPS 2024 Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments Mixue Xie, Shuang Li, Binhui Xie, Chi Harold Liu, Jian Liang, Zixun Sun, Ke Feng, Chengwei Zhu

NeurIPS 2023 Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation Binhui Xie, Shuang Li, Qingju Guo, Chi Liu, Xinjing Cheng

ICCV 2023 Borrowing Knowledge from Pre-Trained Language Model: A New Data-Efficient Visual Learning Paradigm Wenxuan Ma, Shuang Li, JinMing Zhang, Chi Harold Liu, Jingxuan Kang, Yulin Wang, Gao Huang

ICLR 2023 Composing Ensembles of Pre-Trained Models via Iterative Consensus Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch

NeurIPS 2023 Compositional Foundation Models for Hierarchical Planning Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Josh Tenenbaum, Leslie P. Kaelbling, Akash Srivastava, Pulkit Agrawal

NeurIPSW 2023 Compositional Foundation Models for Hierarchical Planning Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Joshua Tenenbaum, Leslie Kaelbling, Akash Srivastava, Pulkit Agrawal

ICMLW 2023 Counterfactual Optimization of Treatment Policies Based on Temporal Point Process Zilin Jing, Chao Yang, Shuang Li

ICLR 2023 Dirichlet-Based Uncertainty Calibration for Active Domain Adaptation Mixue Xie, Shuang Li, Rui Zhang, Chi Harold Liu

NeurIPS 2023 Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions Chengzhi Cao, Chao Yang, Ruimao Zhang, Shuang Li

NeurIPS 2023 Evolving Standardization for Continual Domain Generalization over Temporal Drift Mixue Xie, Shuang Li, Longhui Yuan, Chi Liu, Zehui Dai

NeurIPS 2023 FIND: A Function Description Benchmark for Evaluating Interpretability Methods Sarah Schwettmann, Tamar Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba

CVPR 2023 Improving Generalization with Domain Convex Game Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu

NeurIPS 2023 Language Semantic Graph Guided Data-Efficient Learning Wenxuan Ma, Shuang Li, Lincan Cai, Jingxuan Kang

CVPR 2023 On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer Zhenjie Yu, Shuang Li, Yirui Shen, Chi Harold Liu, Shuigen Wang

ICCV 2023 Open-Vocabulary Panoptic Segmentation with Embedding Modulation Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao

CVPR 2023 Robust Test-Time Adaptation in Dynamic Scenarios Longhui Yuan, Binhui Xie, Shuang Li

ICLR 2023 SP2 : A Second Order Stochastic Polyak Method Shuang Li, William Joseph Swartworth, Martin Takáč, Deanna Needell, Robert M. Gower

ICCV 2023 Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba

AAAI 2023 VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation Under Adverse Conditions Mingjia Li, Binhui Xie, Shuang Li, Chi Harold Liu, Xinjing Cheng

NeurIPS 2023 “Why Not Looking Backward?” a Robust Two-Step Method to Automatically Terminate Bayesian Optimization Shuang Li, Ke Li, Wei Li

AAAI 2022 Active Learning for Domain Adaptation: An Energy-Based Approach Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang

CVPR 2022 Causality Inspired Representation Learning for Domain Generalization Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu

ECCV 2022 Compositional Visual Generation with Composable Diffusion Models Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum

CoLLAs 2022 Energy-Based Models for Continual Learning Shuang Li, Yilun Du, Gido Ven, Igor Mordatch

ICLR 2022 Explaining Point Processes by Learning Interpretable Temporal Logic Rules Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song

ICML 2022 Learning Iterative Reasoning Through Energy Minimization Yilun Du, Shuang Li, Joshua Tenenbaum, Igor Mordatch

CVPR 2022 Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification Xinyu Lin, Jinxing Li, Zeyu Ma, Huafeng Li, Shuang Li, Kaixiong Xu, Guangming Lu, David Zhang

AAAI 2022 Local and Global Convergence of General Burer-Monteiro Tensor Optimizations Shuang Li, Qiuwei Li

NeurIPS 2022 Pre-Trained Language Models for Interactive Decision-Making Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu

CVPR 2022 Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng

CoRL 2021 3D Neural Scene Representations for Visuomotor Control Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba

AAAI 2021 Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin

CVPR 2021 Dynamic Domain Adaptation for Efficient Inference Shuang Li, JinMing Zhang, Wenxuan Ma, Chi Harold Liu, Wei Li

ICLRW 2021 Energy-Based Models for Continual Learning Shuang Li, Yilun Du, Gido Martijn van de Ven, Igor Mordatch

ICLRW 2021 Improved Contrastive Divergence Training of Energy Based Models Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch

ICML 2021 Improved Contrastive Divergence Training of Energy-Based Models Yilun Du, Shuang Li, Joshua Tenenbaum, Igor Mordatch

NeurIPS 2021 Learning to Compose Visual Relations Nan Liu, Shuang Li, Yilun Du, Josh Tenenbaum, Antonio Torralba

CVPR 2021 MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition Shuang Li, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Feng Qiao, Xinjing Cheng

AAAI 2021 One-Shot Face Reenactment Using Appearance Adaptive Normalization Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou

NeurIPS 2021 Pareto Domain Adaptation Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang

CVPR 2021 SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition Yan Xia, Yusheng Xu, Shuang Li, Rui Wang, Juan Du, Daniel Cremers, Uwe Stilla

ICCV 2021 Semantic Concentration for Domain Adaptation Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li

CVPR 2021 Transferable Semantic Augmentation for Domain Adaptation Shuang Li, Mixue Xie, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Wei Li

NeurIPS 2021 Unsupervised Learning of Compositional Energy Concepts Yilun Du, Shuang Li, Yash Sharma, Josh Tenenbaum, Igor Mordatch

ICLR 2021 Watch-and-Help: A Challenge for Social Perception and Human-AI Collaboration Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba

ICCV 2021 Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan Russell

NeurIPS 2020 Compositional Visual Generation with Energy Based Models Yilun Du, Shuang Li, Igor Mordatch

AAAI 2020 Domain Conditioned Adaptation Network Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang

ICML 2020 Temporal Logic Point Processes Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song

ICML 2019 Generative Adversarial User Model for Reinforcement Learning Based Recommendation System Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song

NeurIPS 2019 The Landscape of Non-Convex Empirical Risk with Degenerate Population Risk Shuang Li, Gongguo Tang, Michael B Wakin

NeurIPS 2018 Learning Temporal Point Processes via Reinforcement Learning Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song

ECCV 2018 Question-Guided Hybrid Convolution for Visual Question Answering Peng Gao, Hongsheng Li, Shuang Li, Pan Lu, Yikang Li, Steven C.H. Hoi, Xiaogang Wang

JMLR 2017 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song

ICML 2017 Fake News Mitigation via Point Process Based Intervention Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Khalil, Shuang Li, Le Song, Hongyuan Zha

ICCV 2017 Identity-Aware Textual-Visual Matching with Latent Co-Attention Shuang Li, Tong Xiao, Hongsheng Li, Wei Yang, Xiaogang Wang

CVPR 2017 Joint Detection and Identification Feature Learning for Person Search Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang

ICCV 2017 Learning Feature Pyramids for Human Pose Estimation Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, Xiaogang Wang

CVPR 2017 Person Search with Natural Language Description Shuang Li, Tong Xiao, Hongsheng Li, Bolei Zhou, Dayu Yue, Xiaogang Wang

ICLR 2017 Recurrent Hidden Semi-Markov Model Hanjun Dai, Bo Dai, Yan-Ming Zhang, Shuang Li, Le Song

NeurIPS 2015 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-Evolution Mehrdad Farajtabar, Yichen Wang, Manuel Gomez Rodriguez, Shuang Li, Hongyuan Zha, Le Song

NeurIPS 2015 Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression Yu-Ying Liu, Shuang Li, Fuxin Li, Le Song, James M. Rehg

NeurIPS 2015 M-Statistic for Kernel Change-Point Detection Shuang Li, Yao Xie, Hanjun Dai, Le Song