Zhou, Fan

91 publications

ICLR 2026 JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization Kai Liu, Wei Li, Lai Chen, Shengqiong Wu, Yanhao Zheng, Jiayi Ji, Fan Zhou, Jiebo Luo, Ziwei Liu, Hao Fei, Tat-Seng Chua

ICLR 2026 Self-Consistency Improves the Trustworthiness of Self-Interpretable GNNs Wenxin Tai, Ting Zhong, Goce Trajcevski, Fan Zhou

ICLR 2026 The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution Junlong Li, Wenshuo Zhao, Jian Zhao, Weihao Zeng, Haoze Wu, Xiaochen Wang, Rui Ge, Yuxuan Cao, Yuzhen Huang, Wei Liu, Junteng Liu, Zhaochen Su, Yiyang Guo, Fan Zhou, Lueyang Zhang, Juan Michelini, Xingyao Wang, Xiang Yue, Shuyan Zhou, Graham Neubig, Junxian He

ICCV 2025 Borrowing Eyes for the Blind Spot: Overcoming Data Scarcity in Malicious Video Detection via Cross-Domain Retrieval Augmentation Rongpei Hong, Jian Lang, Ting Zhong, Fan Zhou

NeurIPS 2025 Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs Qi Kuang, Jiayi Wang, Fan Zhou, Zhengling Qi

ICLRW 2025 Diving into Self-Evolve Training for Multimodal Reasoning Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He

ICML 2025 Diving into Self-Evolving Training for Multimodal Reasoning Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He

ICLR 2025 Enhancing Prediction Performance Through Influence Measure Shuguang Yu, Wenqian Xu, Xinyi Zhou, Xuechun Wang, Hongtu Zhu, Fan Zhou

ICCV 2025 Free-MoRef: Instantly Multiplexing Context Perception Capabilities of Video-MLLMs Within Single Inference Kuo Wang, Quanlong Zheng, Junlin Xie, Yanhao Zhang, Jinguo Luo, Haonan Lu, Liang Lin, Fan Zhou, Guanbin Li

AAAI 2025 Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation Xovee Xu, Yifan Zhang, Fan Zhou, Jingkuan Song

AAAI 2025 In-Context Prompt-Augmented Micro-Video Popularity Prediction Zhangtao Cheng, Jiao Li, Jian Lang, Ting Zhong, Fan Zhou

NeurIPS 2025 JavisGPT: A Unified Multi-Modal LLM for Sounding-Video Comprehension and Generation Kai Liu, Jungang Li, Yuchong Sun, Shengqiong Wu, Jianzhang Gao, Daoan Zhang, Wei Zhang, Sheng Jin, Sicheng Yu, Geng Zhan, Jiayi Ji, Fan Zhou, Liang Zheng, Shuicheng Yan, Hao Fei, Tat-Seng Chua

ICML 2025 Programming Every Example: Lifting Pre-Training Data Quality like Experts at Scale Fan Zhou, Zengzhi Wang, Qian Liu, Junlong Li, Pengfei Liu

ICML 2025 Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs Wenxin Tai, Ting Zhong, Goce Trajcevski, Fan Zhou

AAAI 2025 Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning Jian Lang, Zhangtao Cheng, Ting Zhong, Fan Zhou

NeurIPS 2025 Revisiting Reinforcement Learning for LLM Reasoning from a Cross-Domain Perspective Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Nilabjo Dey, Yonghao Zhuang, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Taylor W. Killian, Haonan Li, Mikhail Yurochkin, Eric P. Xing, Zhengzhong Liu, Zhiting Hu

NeurIPS 2025 Versatile Transferable Unlearnable Example Generator Zhihao Li, Jiale Cai, Gezheng Xu, Hao Zheng, Qiuyue Li, Fan Zhou, Shichun Yang, Charles Ling, Boyu Wang

AAAI 2024 Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract) Liu Yu, Fenghui Tian, Ping Kuang, Fan Zhou

AAAI 2024 Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract) Liu Yu, Ludie Guo, Ping Kuang, Fan Zhou

ICLR 2024 Continuous Invariance Learning Lin Yong, Fan Zhou, Lu Tan, Lintao Ma, Jianmeng Liu, Yansu He, Yuan Yuan, Yu Liu, James Y. Zhang, Yujiu Yang, Hao Wang

AAAI 2024 Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract) Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou

AAAI 2024 Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract) Jinyu Hong, Ping Kuang, Qiang Gao, Fan Zhou

ICLR 2024 EasyTPP: Towards Open Benchmarking Temporal Point Processes Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei

IJCAI 2024 Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator Qiang Gao, Xiaolong Song, Li Huang, Goce Trajcevski, Fan Zhou, Xueqin Chen

NeurIPS 2024 Enhancing LLM’s Cognition via Structurization Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye

AAAI 2024 GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu

AAAI 2024 Generalizing Across Temporal Domains with Koopman Operators Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang

AAAI 2024 Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract) Shikang Pang, Chunjing Xiao, Wenxin Tai, Zhangtao Cheng, Fan Zhou

AAAI 2024 Interpreting Temporal Knowledge Graph Reasoning (Student Abstract) Bin Chen, Kai Yang, Wenxin Tai, Zhangtao Cheng, Leyuan Liu, Ting Zhong, Fan Zhou

ICLR 2024 Lemur: Harmonizing Natural Language and Code for Language Agents Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu

ECCV 2024 MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection Kuo Wang, Lechao Cheng, Weikai Chen, Pingping Zhang, Liang Lin, Fan Zhou, Guanbin Li

NeurIPS 2024 OlympicArena: Benchmarking Multi-Discipline Cognitive Reasoning for Superintelligent AI Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu

ICLRW 2024 OpenAgents: An Open Platform for Language Agents in the Wild Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, Yitao Liu, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Zeyu Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu

NeurIPS 2024 Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye

IJCAI 2024 Revitalizing Real Image Deraining via a Generic Paradigm Towards Multiple Rainy Patterns Xin Li, Yuxin Feng, Fan Zhou, Yun Liang, Zhuo Su

AAAI 2024 Shallow Diffusion for Fast Speech Enhancement (Student Abstract) Yue Lei, Bin Chen, Wenxin Tai, Ting Zhong, Fan Zhou

AAAI 2024 Spatial-Temporal Augmentation for Crime Prediction (Student Abstract) Hongzhu Fu, Fan Zhou, Qing Guo, Qiang Gao

NeurIPS 2024 Two-Way Deconfounder for Off-Policy Evaluation in Causal Reinforcement Learning Shuguang Yu, Shuxing Fang, Ruixin Peng, Zhengling Qi, Fan Zhou, Chengchun Shi

AAAI 2023 A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract) Tangjiang Qian, Xovee Xu, Zhe Xiao, Ting Zhong, Fan Zhou

ICML 2023 Adversarial Learning of Distributional Reinforcement Learning Yang Sui, Yukun Huang, Hongtu Zhu, Fan Zhou

AAAI 2023 CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract) Zhangtao Cheng, Xovee Xu, Ting Zhong, Fan Zhou, Goce Trajcevski

NeurIPS 2023 DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, Ting Zhong

AAAI 2023 De-Biased Teacher: Rethinking IoU Matching for Semi-Supervised Object Detection Kuo Wang, Jingyu Zhuang, Guanbin Li, Chaowei Fang, Lechao Cheng, Liang Lin, Fan Zhou

AAAI 2023 Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract) Yuzhou Mao, Liu Yu, Yi Yang, Fan Zhou, Ting Zhong

NeurIPS 2023 Directional Diffusion Models for Graph Representation Learning Run Yang, Yuling Yang, Fan Zhou, Qiang Sun

AAAI 2023 DyCVAE: Learning Dynamic Causal Factors for Non-Stationary Series Domain Generalization (Student Abstract) Weifeng Zhang, Zhiyuan Wang, Kunpeng Zhang, Ting Zhong, Fan Zhou

NeurIPS 2023 Enhancing Knowledge Transfer for Task Incremental Learning with Data-Free Subnetwork Qiang Gao, Xiaojun Shan, Yuchen Zhang, Fan Zhou

AAAI 2023 Exploring Hypergraph of Earnings Call for Risk Prediction (Student Abstract) Yi He, Wenxin Tai, Fan Zhou, Yi Yang

AAAI 2023 Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environment Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang

JMLR 2023 Gap Minimization for Knowledge Sharing and Transfer Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton

NeurIPS 2023 Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei

AAAI 2023 Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract) Zhiyuan Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

AAAI 2023 Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract) Jinyu Hong, Fan Zhou, Qiang Gao, Ping Kuang, Kunpeng Zhang

IJCAI 2023 Open Anomalous Trajectory Recognition via Probabilistic Metric Learning Qiang Gao, Xiaohan Wang, Chaoran Liu, Goce Trajcevski, Li Huang, Fan Zhou

NeurIPS 2023 Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making Ting Li, Chengchun Shi, Jianing Wang, Fan Zhou, Hongtu Zhu

JMLR 2023 Over-Parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning Xingdong Feng, Yuling Jiao, Lican Kang, Baqun Zhang, Fan Zhou

AAAI 2023 Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou

AAAI 2023 Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement Wenxin Tai, Fan Zhou, Goce Trajcevski, Ting Zhong

AAAI 2023 SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Hu Yun

ALT 2023 Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions Fan Zhou, Ping Li, Cun-Hui Zhang

ICML 2023 Variance Control for Distributional Reinforcement Learning Qi Kuang, Zhoufan Zhu, Liwen Zhang, Fan Zhou

AISTATS 2022 Exploring Image Regions Not Well Encoded by an INN Zenan Ling, Fan Zhou, Meng Wei, Quanshi Zhang

AAAI 2022 A Probabilistic Framework for Land Deformation Prediction (Student Abstract) Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

AAAI 2022 Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract) Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou

IJCAI 2022 Double-Check Soft Teacher for Semi-Supervised Object Detection Kuo Wang, Yuxiang Nie, Chaowei Fang, Chengzhi Han, Xuewen Wu, Xiaohui Wang, Liang Lin, Fan Zhou, Guanbin Li

AAAI 2022 Dynamic Manifold Learning for Land Deformation Forecasting Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

AAAI 2022 Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract) Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou

AAAI 2022 Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract) Zhiyuan Wang, Fan Zhou, Kunpeng Zhang, Yong Wang

AAAI 2022 Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract) Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou

NeurIPS 2022 Learning Latent Seasonal-Trend Representations for Time Series Forecasting Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou

AAAI 2022 Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract) Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou

AAAI 2022 PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou

ICML 2022 Quantification and Analysis of Layer-Wise and Pixel-Wise Information Discarding Haotian Ma, Hao Zhang, Fan Zhou, Yinqing Zhang, Quanshi Zhang

IJCAI 2022 Table Pre-Training: A Survey on Model Architectures, Pre-Training Objectives, and Downstream Tasks Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang

AISTATS 2021 Principal Subspace Estimation Under Information Diffusion Fan Zhou, Ping Li, Zhixin Zhou

AAAI 2021 Forecasting Reservoir Inflow via Recurrent Neural ODEs Fan Zhou, Liang Li

AAAI 2021 Land Deformation Prediction via Slope-Aware Graph Neural Networks Fan Zhou, Rongfan Li, Goce Trajcevski, Kunpeng Zhang

AAAI 2021 Multi-Task Learning by Leveraging the Semantic Information Fan Zhou, Brahim Chaib-draa, Boyu Wang

IJCAI 2021 Non-Decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning Fan Zhou, Zhoufan Zhu, Qi Kuang, Liwen Zhang

ICML 2021 Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations Fan Zhou, Ping Li

AAAI 2021 Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay Fan Zhou, Chengtai Cao

NeurIPS 2021 Rate-Optimal Subspace Estimation on Random Graphs Zhixin Zhou, Fan Zhou, Ping Li, Cun-Hui Zhang

AISTATS 2020 Deep Active Learning: Unified and Principled Method for Query and Training Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang

IJCAI 2020 Enhancing Urban Flow Maps via Neural ODEs Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang

NeurIPS 2020 Non-Crossing Quantile Regression for Distributional Reinforcement Learning Fan Zhou, Jianing Wang, Xingdong Feng

ICLR 2020 Relational State-Space Model for Stochastic Multi-Object Systems Fan Yang, Ling Chen, Fan Zhou, Yusong Gao, Wei Cao

NeurIPS 2019 Graph-Based Semi-Supervised Learning with Non-Ignorable Non-Response Fan Zhou, Tengfei Li, Haibo Zhou, Hongtu Zhu, Ye Jieping

JMLR 2019 The Sup-Norm Perturbation of HOSVD and Low Rank Tensor Denoising Dong Xia, Fan Zhou

IJCAI 2018 On the Convergence Properties of a K-Step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization Fan Zhou, Guojing Cong

IJCAI 2018 Trajectory-User Linking via Variational AutoEncoder Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang

IJCAI 2017 Identifying Human Mobility via Trajectory Embeddings Qiang Gao, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Xucheng Luo, Fengli Zhang