Shi, Lei

60 publications

WACV 2025 ActionDiffusion: An Action-Aware Diffusion Model for Procedure Planning in Instructional Videos Lei Shi, Paul-Christian Bürkner, Andreas Bulling

ICML 2025 CFPT: Empowering Time Series Forecasting Through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling Feifei Kou, Jiahao Wang, Lei Shi, Yuhan Yao, Yawen Li, Suguo Zhu, Zhongbao Zhang, Junping Du

ICML 2025 Can Classic GNNs Be Strong Baselines for Graph-Level Tasks? Simple Architectures Meet Excellence Yuankai Luo, Lei Shi, Xiao-Ming Wu

NeurIPS 2025 Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval Shuang Zhang, Yue Wu, Lei Shi, Yingxue Zhang, Feifei Kou, Huilong Jin, Pengfei Zhang, Meiyu Liang, Mingying Xu

IJCAI 2025 EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking Lingxiao Wang, Lei Shi, Feifei Kou, Ligu Zhu, Chen Ma, Pengfei Zhang, Mingying Xu, Zeyu Li

AAAI 2025 IWRN: A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise Attack Feifei Kou, Yuhan Yao, Siyuan Yao, Jiahao Wang, Lei Shi, Yawen Li, Xuejing Kang

NeurIPS 2025 Learning to Rank for In-Context Example Retrieval Yuwen Ji, Luodan Zhang, Ambyerhan, Haoran Que, Lei Shi, Wang Chao, Yue Zhang

NeurIPS 2025 Leveraging Semantic Similarity for Experimentation with AI-Generated Treatments Lei Shi, David Arbour, Raghavendra Addanki, Ritwik Sinha, Avi Feller

AAAI 2025 Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection Weihong Bi, Feifei Kou, Lei Shi, Yawen Li, Haisheng Li, Jinpeng Chen, Mingying Xu

ICLR 2025 Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning Yuankai Luo, Hongkang Li, Qijiong Liu, Lei Shi, Xiao-Ming Wu

NeurIPS 2025 OSTAR: Optimized Statistical Text-Classifier with Adversarial Resistance Yuhan Yao, Feifei Kou, Lei Shi, Xiao Yang, Zhongbao Zhang, Suguo Zhu, Jiwei Zhang, Lirong Qiu, Li Haisheng

AAAI 2025 Radiology Report Generation via Multi-Objective Preference Optimization Ting Xiao, Lei Shi, Peng Liu, Zhe Wang, Chenjia Bai

CVPR 2025 SmartEraser: Remove Anything from Images Using Masked-Region Guidance Longtao Jiang, Zhendong Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Lei Shi, Dong Chen, Houqiang Li

AAAI 2025 THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction Yanchao Liu, Pengzhou Zhang, Wenchao Song, Yao Zheng, Deyu Li, Lei Shi, Junpeng Gong

AAAI 2025 Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution Yuwen Ji, Wenbo Xie, Jiaqi Zhang, Chao Wang, Ning Guo, Lei Shi, Yue Zhang

ICML 2025 Zero-Inflated Bandits Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song

NeurIPS 2024 An End-to-End Graph Attention Network Hashing for Cross-Modal Retrieval Huilong Jin, Yingxue Zhang, Lei Shi, Shuang Zhang, Feifei Kou, Jiapeng Yang, Chuangying Zhu, Jia Luo

ICMLW 2024 Benchmarking Mental State Representations in Language Models Matteo Bortoletto, Constantin Ruhdorfer, Lei Shi, Andreas Bulling

NeurIPS 2024 Classic GNNs Are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo, Lei Shi, Xiao-Ming Wu

JMLR 2024 Classification with Deep Neural Networks and Logistic Loss Zihan Zhang, Lei Shi, Ding-Xuan Zhou

NeurIPS 2024 Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuankai Luo, Hongkang Li, Lei Shi, Xiao-Ming Wu

ICMLW 2024 LEGENT: Open Platform for Embodied Agents Zhili Cheng, Jinyi Hu, Zhitong Wang, Yuge Tu, Shengding Hu, An Liu, Pengkai Li, Lei Shi, Zhiyuan Liu, Maosong Sun

JMLR 2024 Low-Rank Matrix Estimation in the Presence of Change-Points Lei Shi, Guanghui Wang, Changliang Zou

ECCV 2024 Multi-Modal Video Dialog State Tracking in the Wild Adnen Abdessaied, Lei Shi, Andreas Bulling

AAAI 2024 Neural Reasoning About Agents' Goals, Preferences, and Actions Matteo Bortoletto, Lei Shi, Andreas Bulling

NeurIPSW 2024 Self-Supervised Bisimulation Action Chunk Representation for Efficient RL Lei Shi, Jianye Hao, Hongyao Tang, Zibin Dong, Yan Zheng

NeurIPSW 2024 Self-Supervised Bisimulation Action Chunk Representation for Efficient RL Lei Shi, Jianye Hao, Hongyao Tang, Zibin Dong, Yan Zheng

AAAI 2024 Self-Supervised Representation Learning with Meta Comprehensive Regularization Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi

JMLR 2024 Statistical Optimality of Divide and Conquer Kernel-Based Functional Linear Regression Jiading Liu, Lei Shi

AAAI 2024 Stratified GNN Explanations Through Sufficient Expansion Yuwen Ji, Lei Shi, Zhimeng Liu, Ge Wang

AAAI 2024 Structural Information Enhanced Graph Representation for Link Prediction Lei Shi, Bin Hu, Deng Zhao, Jianshan He, Zhiqiang Zhang, Jun Zhou

IJCAI 2024 Unsupervised Deep Graph Structure and Embedding Learning Xiaobo Shen, Lei Shi, Xiuwen Gong, Shirui Pan

NeurIPS 2024 Using Surrogates in Covariate-Adjusted Response-Adaptive Randomization Experiments with Delayed Outcomes Lei Shi, Waverly Wei, Jingshen Wang

WACV 2024 VD-GR: Boosting Visual Dialog with Cascaded Spatial-Temporal Multi-Modal Graphs Adnen Abdessaied, Lei Shi, Andreas Bulling

ICMLW 2024 What Can VLMs Do for Zero-Shot Embodied Task Planning? Xian Fu, Min Zhang, Jianye Hao, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang

ICMLW 2024 What Can VLMs Do for Zero-Shot Embodied Task Planning? Xian Fu, Min Zhang, Jianye Hao, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang

NeurIPS 2023 Improving Self-Supervised Molecular Representation Learning Using Persistent Homology Yuankai Luo, Lei Shi, Veronika Thost

JMLR 2023 Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning Xiaolong Cui, Lei Shi, Wei Zhong, Changliang Zou

ICML 2023 Statistical Inference on Multi-Armed Bandits with Delayed Feedback Lei Shi, Jingshen Wang, Tianhao Wu

NeurIPS 2023 Transformers over Directed Acyclic Graphs Yuankai Luo, Veronika Thost, Lei Shi

NeurIPS 2022 Communication-Efficient Topologies for Decentralized Learning with $o(1)$ Consensus Rate Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan

ICCV 2021 AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu

MLJ 2021 Analysis of Regularized Least-Squares in Reproducing Kernel Kreĭn Spaces Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens

JMLR 2021 Generalization Properties of Hyper-RKHS and Its Applications Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A.K. Suykens

ECCV 2020 Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition Ke Cheng, Yifan Zhang, Congqi Cao, Lei Shi, Jian Cheng, Hanqing Lu

WACV 2020 EDGE20: A Cross Spectral Evaluation Dataset for Multiple Surveillance Problems Ha Le, Christos Smailis, Lei Shi, Ioannis Kakadiaris

JMLR 2019 Sparse Kernel Regression with Coefficient-Based $\ell_q-$regularization Lei Shi, Xiaolin Huang, Yunlong Feng, Johan A.K. Suykens

IJCAI 2018 Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision Hanmo Wang, Xiaojun Chang, Lei Shi, Yi Yang, Yi-Dong Shen

JMLR 2017 Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network Zheng-Chu Guo, Lei Shi, Qiang Wu

IJCAI 2016 Diversifying Convex Transductive Experimental Design for Active Learning Lei Shi, Yi-Dong Shen

AAAI 2015 Convex Batch Mode Active Sampling via Α-Relative Pearson Divergence Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yi-Dong Shen

IJCAI 2015 Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization Peng Zhou, Liang Du, Hanmo Wang, Lei Shi, Yi-Dong Shen

JMLR 2015 Learning with the Maximum Correntropy Criterion Induced Losses for Regression Yunlong Feng, Xiaolin Huang, Lei Shi, Yuning Yang, Johan A.K. Suykens

IJCAI 2015 Recovery of Corrupted Multiple Kernels for Clustering Peng Zhou, Liang Du, Lei Shi, Hanmo Wang, Yi-Dong Shen

IJCAI 2015 Robust Multiple Kernel K-Means Using L21-Norm Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen

JMLR 2014 Ramp Loss Linear Programming Support Vector Machine Xiaolin Huang, Lei Shi, Johan A.K. Suykens

NeurIPS 2013 Sparse Additive Text Models with Low Rank Background Lei Shi

NeurIPS 2012 Bayesian Probabilistic Co-Subspace Addition Lei Shi

NeurIPS 2009 Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling Lei Shi, Thomas L. Griffiths

AISTATS 2009 Online Inference of Topics with Latent Dirichlet Allocation Kevin Canini, Lei Shi, Thomas Griffiths