Gao, Chao

42 publications

IJCAI 2025 A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localization Dongpeng Hou, Yuchen Wang, Chao Gao, Xianghua Li

IJCAI 2025 A Prior-Based Discrete Diffusion Model for Social Graph Generation Shu Yin, Dongpeng Hou, Lianwei Wu, Xianghua Li, Chao Gao

IJCAI 2025 Can Retelling Have Adequate Information for Reasoning? an Enhancement Method for Imperfect Video Understanding with Large Language Model Mingxin Li, Wenhao Wang, Hongru Ji, Xianghua Li, Chao Gao

COLT 2025 Computing High-Dimensional Confidence Sets for Arbitrary Distributions Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan

TMLR 2025 ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi, Shayan Karimi, Chao Gao, Martin Müller

IJCAI 2025 Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process Dongpeng Hou, Wenfei Wei, Chao Gao, Xianghua Li, Zhen Wang

NeurIPS 2025 HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks Hongjin Qian, Zheng Liu, Chao Gao, Yankai Wang, Defu Lian, Zhicheng Dou

IJCAI 2025 Hybrid Relational Graphs with Sentiment-Laden Semantic Alignment for Multimodal Emotion Recognition in Conversation Hongru Ji, Xianghua Li, Mingxin Li, Meng Zhao, Chao Gao

IJCAI 2025 HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-Rich Attention Fusion Le Cheng, Peican Zhu, Yangming Guo, Keke Tang, Chao Gao, Zhen Wang

NeurIPS 2025 Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination Ilias Diakonikolas, Chao Gao, Daniel Kane, John Lafferty, Ankit Pensia

AAAI 2025 Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference Mingxin Li, Yuchen Zhang, Haowei Xu, Xianghua Li, Chao Gao, Zhen Wang

IJCAI 2025 Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes Yuchen Wang, Dongpeng Hou, Chao Gao, Xianghua Li

NeurIPS 2025 Re-Ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape Ruichen Chen, Keith G. Mills, Liyao Jiang, Chao Gao, Di Niu

ICML 2025 SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning Junyou Zhu, Langzhou He, Chao Gao, Dongpeng Hou, Zhen Su, Philip S. Yu, Juergen Kurths, Frank Hellmann

IJCAI 2025 SourceDetMamba: A Graph-Aware State Space Model for Source Detection in Sequential Hypergraphs Le Cheng, Peican Zhu, Yangming Guo, Chao Gao, Zhen Wang, Keke Tang

ICML 2025 Volume Optimality in Conformal Prediction with Structured Prediction Sets Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan

AISTATS 2024 Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization Bahador Rashidi, Kerrick Johnstonbaugh, Chao Gao

AAAI 2024 DAG-Aware Variational Autoencoder for Social Propagation Graph Generation Dongpeng Hou, Chao Gao, Xuelong Li, Zhen Wang

NeurIPS 2024 Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration Hongming Zhang, Chenjun Xiao, Chao Gao, Han Wang, Bo Xu, Martin Müller

AAAI 2024 GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking Shu Yin, Peican Zhu, Lianwei Wu, Chao Gao, Zhen Wang

AAAI 2024 GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang

IJCAI 2024 Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics Zhen Wang, Dongpeng Hou, Shu Yin, Chao Gao, Xianghua Li

AAAI 2024 Monte Carlo Tree Search in the Presence of Transition Uncertainty Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller

TMLR 2024 Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Zeyu Han, Chao Gao, Jinyang Liu, Jeff Zhang, Sai Qian Zhang

NeurIPS 2024 ResAD: A Simple Framework for Class Generalizable Anomaly Detection Xincheng Yao, Zixin Chen, Chao Gao, Guangtao Zhai, Chongyang Zhang

ECML-PKDD 2024 RumorMixer: Exploring Echo Chamber Effect and Platform Heterogeneity for Rumor Detection Haowei Xu, Chao Gao, Xianghua Li, Zhen Wang

ICCV 2023 PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting Xin Deng, Chao Gao, Mai Xu

IJCAI 2023 Sequential Attention Source Identification Based on Feature Representation Dongpeng Hou, Zhen Wang, Chao Gao, Xuelong Li

AAAI 2022 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong

ICCVW 2021 MTMSN: Multi-Task and Multi-Modal Sequence Network for Facial Action Unit and Expression Recognition Yue Jin, Tianqing Zheng, Chao Gao, Guoqiang Xu

JMLR 2021 Mixing Time of Metropolis-Hastings for Bayesian Community Detection Bumeng Zhuo, Chao Gao

ICML 2021 SCC: An Efficient Deep Reinforcement Learning Agent Mastering the Game of StarCraft II Xiangjun Wang, Junxiao Song, Penghui Qi, Peng Peng, Zhenkun Tang, Wei Zhang, Weimin Li, Xiongjun Pi, Jujie He, Chao Gao, Haitao Long, Quan Yuan

JMLR 2020 Bayesian Model Selection with Graph Structured Sparsity Youngseok Kim, Chao Gao

JMLR 2020 Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective Chao Gao, Yuan Yao, Weizhi Zhu

ICLR 2019 Robust Estimation via Generative Adversarial Networks Chao Gao, Jiyi Liu, Yuan Yao, Weizhi Zhu

JMLR 2019 Stochastic Canonical Correlation Analysis Chao Gao, Dan Garber, Nathan Srebro, Jialei Wang, Weiran Wang

JMLR 2018 Goodness-of-Fit Tests for Random Partitions via Symmetric Polynomials Chao Gao

IJCAI 2018 Three-Head Neural Network Architecture for Monte Carlo Tree Search Chao Gao, Martin Müller, Ryan Hayward

JMLR 2017 Achieving Optimal Misclassification Proportion in Stochastic Block Models Chao Gao, Zongming Ma, Anderson Y. Zhang, Harrison H. Zhou

IJCAI 2017 Focused Depth-First Proof Number Search Using Convolutional Neural Networks for the Game of Hex Chao Gao, Martin Müller, Ryan Hayward

ICML 2016 Exact Exponent in Optimal Rates for Crowdsourcing Chao Gao, Yu Lu, Dengyong Zhou

JMLR 2016 Optimal Estimation and Completion of Matrices with Biclustering Structures Chao Gao, Yu Lu, Zongming Ma, Harrison H. Zhou