Xiong, Hui

95 publications

NeurIPS 2025 BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion Model Weilin Lin, Nanjun Zhou, Yanyun Wang, Jianze Li, Hui Xiong, Li Liu

ICLR 2025 CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang

ICCV 2025 Depth Any Event Stream: Enhancing Event-Based Monocular Depth Estimation via Dense-to-Sparse Distillation Jinjing Zhu, Tianbo Pan, Zidong Cao, Yexin Liu, James T. Kwok, Hui Xiong

ICML 2025 Editable Concept Bottleneck Models Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang

ICLRW 2025 Editable Concept Bottleneck Models Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang

ICML 2025 Efficient Skill Discovery via Regret-Aware Optimization He Zhang, Ming Zhou, Shaopeng Zhai, Ying Sun, Hui Xiong

IJCAI 2025 Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling Tianhui Ma, Shuyao Wang, Zhi Zheng, Hui Xiong

ICLRW 2025 ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models via Error Detection Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, YiFan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen

ICLRW 2025 Explaining Length Bias in LLM-Based Preference Evaluations Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Zhengyu Chen, Hui Xiong

AAAI 2025 Fusing Pruned and Backdoored Models: Optimal Transport-Based Data-Free Backdoor Mitigation Weilin Lin, Li Liu, Jianze Li, Hui Xiong

ICML 2025 GCAL: Adapting Graph Models to Evolving Domain Shifts Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong

NeurIPS 2025 GVPO: Group Variance Policy Optimization for Large Language Model Post-Training Kaichen Zhang, Yuzhong Hong, Junwei Bao, Hongfei Jiang, Yang Song, Hong Dingqian, Hui Xiong

AAAI 2025 Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong

ICLRW 2025 Language Model Preference Evaluation with Multiple Weak Evaluators Zhengyu Hu, Jieyu Zhang, Zhihan Xiong, Alexander Ratner, Hui Xiong, Ranjay Krishna

NeurIPS 2025 Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs Jingyao Wang, Wenwen Qiang, Zeen Song, Changwen Zheng, Hui Xiong

NeurIPS 2025 Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding Weiyu Guo, Ziyang Chen, Shaoguang Wang, Jianxiang He, Yijie Xu, Jinhui Ye, Ying Sun, Hui Xiong

ICCV 2025 MagicCity: Geometry-Aware 3D City Generation from Satellite Imagery with Multi-View Consistency Xingbo Yao, Xuanmin Wang, Hao Wu, Chengliang Ping, Doudou Zhang, Hui Xiong

ICLRW 2025 Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking Yijie Xu, Aiwei Liu, Xuming Hu, Lijie Wen, Hui Xiong

NeurIPS 2025 Multimodal 3D Genome Pre-Training Minghao Yang, Pengteng Li, Yan Liang, Qianyi Cai, Zhihang Zheng, Shichen Zhang, Pengfei Zhang, Zhi-An Huang, Hui Xiong

ICML 2025 OneForecast: A Universal Framework for Global and Regional Weather Forecasting Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Ray Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Li Qing, Hui Xiong, Xiaomeng Huang

NeurIPS 2025 Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning Ruiyao Miao, Junren Xiao, Shiya Tsang, Hui Xiong, Ying Nian Wu

ICLR 2025 RGB-Event ISP: The Dataset and Benchmark Yunfan Lu, Yanlin Qian, Ziyang Rao, Junren Xiao, Liming Chen, Hui Xiong

ICML 2025 Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis Weiyu Guo, Ziyue Qiao, Ying Sun, Yijie Xu, Hui Xiong

NeurIPS 2025 Robust Explanations of Graph Neural Networks via Graph Curvatures Yazheng Liu, Xi Zhang, Sihong Xie, Hui Xiong

ICML 2025 SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes Yishan Shen, Yuyang Ye, Hui Xiong, Yong Chen

ICLRW 2025 SEAL: SEmantic-Augmented Imitation Learning via Language Model Chengyang Gu, Yuxin Pan, Haotian Bai, Hui Xiong, Yize Chen

NeurIPS 2025 ST$^2$360D: Spatial-to-Temporal Consistency for Training-Free 360 Monocular Depth Estimation Zidong Cao, Jinjing Zhu, Hao Ai, Lutao Jiang, Yuanhuiyi Lyu, Hui Xiong

ICLR 2025 SePer: Measure Retrieval Utility Through the Lens of Semantic Perplexity Reduction Lu Dai, Yijie Xu, Jinhui Ye, Hao Liu, Hui Xiong

NeurIPS 2025 See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model Pengteng Li, Pinhao Song, Wuyang Li, Huizai Yao, Weiyu Guo, Yijie Xu, Dugang Liu, Hui Xiong

AAAI 2025 TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Kevin Zhao, Xi Chen, Hui Xiong

ICLR 2025 Towards Continuous Reuse of Graph Models via Holistic Memory Diversification Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Xiao Luo, Hui Xiong

ICML 2025 Towards the Causal Complete Cause of Multi-Modal Representation Learning Jingyao Wang, Siyu Zhao, Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong

NeurIPS 2025 Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong

ICLR 2024 BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-Shot Inference via Debiased Domain Abstraction Jiangmeng Li, Fei Song, Yifan Jin, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong

CVPRW 2024 Event Camera Demosaicing via Swin Transformer and Pixel-Focus Loss Yunfan Lu, Yijie Xu, Wenzong Ma, Weiyu Guo, Hui Xiong

IJCAI 2024 FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong

ECML-PKDD 2024 Hierarchical Structure-Aware Graph Prompting for Drug-Drug Interaction Prediction Yuhan Ye, Jingbo Zhou, Shuangli Li, Congxi Xiao, Haochao Ying, Hui Xiong

NeurIPS 2024 Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms Jiechao Guan, Hui Xiong

ICLR 2024 Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning Jiechao Guan, Hui Xiong

NeurIPS 2024 Improving Gloss-Free Sign Language Translation by Reducing Representation Density Jinhui Ye, Xing Wang, Wenxiang Jiao, Junwei Liang, Hui Xiong

ICML 2024 Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach Weijia Zhang, Chenlong Yin, Hao Liu, Xiaofang Zhou, Hui Xiong

NeurIPS 2024 Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong

CVPRW 2024 MIPI 2024 Challenge on Demosaic for Hybridevs Camera: Methods and Results Yaqi Wu, Zhihao Fan, Xiaofeng Chu, Jimmy S. Ren, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangcheng Zhou, Ruicheng Feng, Yuekun Dai, Peiqing Yang, Chen Change Loy, Senyan Xu, Zhijing Sun, Jiaying Zhu, Yurui Zhu, Xueyang Fu, Zheng-Jun Zha, Jun Cao, Cheng Li, Shu Chen, Liang Ma, Shiyang Zhou, Haijin Zeng, Kai Feng, Yongyong Chen, Jingyong Su, Xianyu Guan, Hongyuan Yu, Cheng Wan, Jiamin Lin, Binnan Han, Yajun Zou, Zhuoyuan Wu, Yuan Huang, Yongsheng Yu, Daoan Zhang, Jizhe Li, Xuanwu Yin, Kunlong Zuo, Yunfan Lu, Yijie Xu, Wenzong Ma, Weiyu Guo, Hui Xiong, Wei Yu, Bingchun Luo, Sabari Nathan, Priya Kansal

NeurIPS 2024 Parsimony or Capability? Decomposition Delivers Both in Long-Term Time Series Forecasting Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor Tsang, Hui Xiong

NeurIPS 2024 Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs Liyi Chen, Panrong Tong, Zhongming Jin, Ying Sun, Jieping Ye, Hui Xiong

IJCAI 2024 Pre-DyGAE: Pre-Training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong

NeurIPS 2024 Resource-Aware Federated Self-Supervised Learning with Global Class Representations Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu

AAAI 2024 Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong

NeurIPS 2024 SpGesture: Source-Free Domain-Adaptive sEMG-Based Gesture Recognition with Jaccard Attentive Spiking Neural Network Weiyu Guo, Ying Sun, Yijie Xu, Ziyue Qiao, Yongkui Yang, Hui Xiong

NeurIPS 2024 Tackling Uncertain Correspondences for Multi-Modal Entity Alignment Liyi Chen, Ying Sun, Shengzhe Zhang, Yuyang Ye, Wei Wu, Hui Xiong

AAAI 2024 Temporal Graph Contrastive Learning for Sequential Recommendation Shengzhe Zhang, Liyi Chen, Chao Wang, Shuangli Li, Hui Xiong

ECCV 2024 UniINR: Event-Guided Unified Rolling Shutter Correction, Deblurring, and Interpolation Yunfan Lu, Guoqiang Liang, Yusheng Wang, Lin Wang, Hui Xiong

NeurIPS 2024 Unveiling and Mitigating Backdoor Vulnerabilities Based on Unlearning Weight Changes and Backdoor Activeness Weilin Lin, Li Liu, Shaokui Wei, Jianze Li, Hui Xiong

IJCAI 2023 Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng

ICCV 2023 Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing Lu Dai, Liqian Ma, Shenhan Qian, Hao Liu, Ziwei Liu, Hui Xiong

IJCAI 2023 Semi-Supervised Domain Adaptation in Graph Transfer Learning Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong

NeurIPS 2023 UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong

NeurIPS 2022 AutoST: Towards the Universal Modeling of Spatio-Temporal Sequences Jianxin Li, Shuai Zhang, Hui Xiong, Haoyi Zhou

ECML-PKDD 2022 Customized Conversational Recommender Systems Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong

IJCAI 2022 Feature and Instance Joint Selection: A Reinforcement Learning Perspective Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu

AAAI 2022 GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong

ICML 2022 Interventional Contrastive Learning with Meta Semantic Regularizer Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong

AAAI 2022 Learning to Walk with Dual Agents for Knowledge Graph Reasoning Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong

ICML 2022 MetAug: Contrastive Learning via Meta Feature Augmentation Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong

NeurIPS 2022 MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong

AAAI 2021 Community-Aware Multi-Task Transportation Demand Prediction Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong

AAAI 2021 Coupled Layer-Wise Graph Convolution for Transportation Demand Prediction Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong

NeurIPS 2021 Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong

AAAI 2021 Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang

AAAI 2021 Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou

AAAI 2021 Out-of-Town Recommendation with Travel Intention Modeling Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong

IJCAI 2021 Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong

AAAI 2021 Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong

NeurIPS 2021 Topic Modeling Revisited: A Document Graph-Based Neural Network Perspective Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong

AAAI 2020 Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He

AAAI 2020 Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong

AAAI 2020 SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong

IJCAI 2020 Why We Go Where We Go: Profiling User Decisions on Choosing POIs Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, Hui Xiong

IJCAI 2019 Comprehensive Semi-Supervised Multi-Modal Learning Yang Yang, Ke-Tao Wang, De-Chuan Zhan, Hui Xiong, Yuan Jiang

AAAI 2019 Exploiting the Contagious Effect for Employee Turnover Prediction Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong

AAAI 2019 Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang

AAAI 2019 Joint Representation Learning for Multi-Modal Transportation Recommendation Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong

AAAI 2019 Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He

IJCAI 2019 Trend-Aware Tensor Factorization for Job Skill Demand Analysis Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong

IJCAI 2018 A Joint Learning Approach to Intelligent Job Interview Assessment Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong

IJCAI 2018 Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective Huang Xu, Zhiwen Yu, Bin Guo, Mingfei Teng, Hui Xiong

IJCAI 2018 Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu

AAAI 2018 Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong

IJCAI 2018 Representing Urban Functions Through Zone Embedding with Human Mobility Patterns Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong

IJCAI 2018 Sequential Recommender System Based on Hierarchical Attention Networks Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu

AAAI 2017 Collaborative Company Profiling: Insights from an Employee's Perspective Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong

IJCAI 2016 Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong

IJCAI 2013 A Theoretic Framework of K-Means-Based Consensus Clustering Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao

IJCAI 2013 PageRank with Priors: An Influence Propagation Perspective Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang

MLJ 2011 Checkpoint Evolution for Volatile Correlation Computing Wenjun Zhou, Hui Xiong