Chen, Hong

89 publications

ICLR 2025 A Statistical Approach for Controlled Training Data Detection Zirui Hu, Yingjie Wang, Zheng Zhang, Hong Chen, Dacheng Tao

ICML 2025 Adversarial Robust Generalization of Graph Neural Networks Chang Cao, Han Li, Yulong Wang, Rui Wu, Hong Chen

IJCAI 2025 Adversarial Training for Graph Convolutional Networks: Stability and Generalization Analysis Chang Cao, Han Li, Yulong Wang, Rui Wu, Hong Chen

AAAI 2025 Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation Chendi Ge, Xin Wang, Ziwei Zhang, Yijian Qin, Hong Chen, Haiyang Wu, Yang Zhang, Yuekui Yang, Wenwu Zhu

ICML 2025 Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Chendi Ge, Xin Wang, Zeyang Zhang, Hong Chen, Jiapei Fan, Longtao Huang, Hui Xue, Wenwu Zhu

AAAI 2025 Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent Jun Chen, Hong Chen, Bin Gu, Guodong Liu, Yingjie Wang, Weifu Li

ICML 2025 How Does Labeling Error Impact Contrastive Learning? a Perspective from Data Dimensionality Reduction Jun Chen, Hong Chen, Yonghua Yu, Yiming Ying

AAAI 2025 Identity-Text Video Corpus Grounding Bin Huang, Xin Wang, Hong Chen, Houlun Chen, Yaofei Wu, Wenwu Zhu

AAAI 2025 Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery Hao Wang, Biqin Song, Hao Deng, Hong Chen

AAAI 2025 Modular-Cam: Modular Dynamic Camera-View Video Generation with LLM Zirui Pan, Xin Wang, Yipeng Zhang, Hong Chen, Kwan Man Cheng, Yaofei Wu, Wenwu Zhu

ICML 2025 Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering Zihan Song, Xin Wang, Zi Qian, Hong Chen, Longtao Huang, Hui Xue, Wenwu Zhu

ICML 2025 On the Generalization Ability of Next-Token-Prediction Pretraining Zhihao Li, Xue Jiang, Liyuan Liu, Xuelin Zhang, Hong Chen, Feng Zheng

AAAI 2025 Personalized Clustering via Targeted Representation Learning Xiwen Geng, Suyun Zhao, Yixin Yu, Borui Peng, Pan Du, Hong Chen, Cuiping Li, Mengdie Wang

AAAI 2025 Prototypical Replay with Old-Class Focusing Knowledge Distillation for Incremental Named Entity Recognition Zesheng Liu, Qiannan Zhu, Cuiping Li, Hong Chen

CVPRW 2025 RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving Yujin Wang, Quanfeng Liu, Zhengxin Jiang, Tianyi Wang, Junfeng Jiao, Hongqing Chu, Bingzhao Gao, Hong Chen

ICCV 2025 Rethinking Key-Frame-Based Micro-Expression Recognition: A Robust and Accurate Framework Against Key-Frame Errors Zheyuan Zhang, Weihao Tang, Hong Chen

ICML 2025 SpikF: Spiking Fourier Network for Efficient Long-Term Prediction Wenjie Wu, Dexuan Huo, Hong Chen

ICLR 2025 Streamlining Redundant Layers to Compress Large Language Models Xiaodong Chen, Yuxuan Hu, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen

ICLR 2025 Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification Wen Wen, Han Li, Tieliang Gong, Hong Chen

IJCAI 2025 Trajectory-Dependent Generalization Bounds for Pairwise Learning with Φ-Mixing Samples Liyuan Liu, Hong Chen, Weifu Li, Tieliang Gong, Hao Deng, Yulong Wang

ICML 2025 Unsupervised Learning for Class Distribution Mismatch Pan Du, Wangbo Zhao, Xinai Lu, Nian Liu, Zhikai Li, Chaoyu Gong, Suyun Zhao, Hong Chen, Cuiping Li, Kai Wang, Yang You

ICML 2024 CurBench: Curriculum Learning Benchmark Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan Liu, Wenwu Zhu

ICLR 2024 DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation Hong Chen, Yipeng Zhang, Simin Wu, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu

ICML 2024 Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu

CVPR 2024 Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration Hong Chen, Pei Yan, Sihe Xiang, Yihua Tan

IJCAI 2024 Fine-Grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization Xuelin Zhang, Hong Chen, Bin Gu, Tieliang Gong, Feng Zheng

ICLR 2024 General Stability Analysis for Zeroth-Order Optimization Algorithms Xinyue Liu, Hualin Zhang, Bin Gu, Hong Chen

NeurIPS 2024 How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization? Jun Chen, Hong Chen, Bin Gu

ICLR 2024 Negative Label Guided OOD Detection with Pretrained Vision-Language Models Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han

CVPR 2024 PTQ4SAM: Post-Training Quantization for Segment Anything Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu

ECCV 2024 Post-Training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models Siao Tang, Xin Wang, Hong Chen, Chaoyu Guan, Zewen Wu, Yansong Tang, Wenwu Zhu

ICLR 2024 Rethinking Information-Theoretic Generalization: Loss Entropy Induced PAC Bounds Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li

ICML 2024 Towards Generalization Beyond Pointwise Learning: A Unified Information-Theoretic Perspective Yuxin Dong, Tieliang Gong, Hong Chen, Zhongjiang He, Mengxiang Li, Shuangyong Song, Chen Li

IJCAI 2024 Towards Sharper Generalization Bounds for Adversarial Contrastive Learning Wen Wen, Han Li, Tieliang Gong, Hong Chen

AAAI 2024 Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent Jiahuan Wang, Hong Chen

NeurIPS 2024 VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding Houlun Chen, Xin Wang, Hong Chen, Zeyang Zhang, Wei Feng, Bin Huang, Jia Jia, Wenwu Zhu

CVPR 2024 VTimeLLM: Empower LLM to Grasp Video Moments Bin Huang, Xin Wang, Hong Chen, Zihan Song, Wenwu Zhu

ICML 2023 Curriculum Co-Disentangled Representation Learning Across Multiple Environments for Social Recommendation Xin Wang, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu

AAAI 2023 Curriculum Multi-Negative Augmentation for Debiased Video Grounding Xiaohan Lan, Yitian Yuan, Hong Chen, Xin Wang, Zequn Jie, Lin Ma, Zhi Wang, Wenwu Zhu

ICCV 2023 DIRE for Diffusion-Generated Image Detection Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Hezhen Hu, Hong Chen, Houqiang Li

ICML 2023 Detecting Out-of-Distribution Data Through In-Distribution Class Prior Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han

AAAI 2023 Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen

NeurIPS 2023 Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization Jun Chen, Hong Chen, Bin Gu, Hao Deng

IJCAI 2023 Generalization Bounds for Adversarial Metric Learning Wen Wen, Han Li, Hong Chen, Rui Wu, Lingjuan Wu, Liangxuan Zhu

NeurIPS 2023 Joint Data-Task Generation for Auxiliary Learning Hong Chen, Xin Wang, Yuwei Zhou, Yijian Qin, Chaoyu Guan, Wenwu Zhu

NeurIPS 2023 Multi-Task Graph Neural Architecture Search with Task-Aware Collaboration and Curriculum Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu

AAAI 2023 On the Stability and Generalization of Triplet Learning Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng

AAAI 2023 RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL Haoyang Li, Jing Zhang, Cuiping Li, Hong Chen

AAAI 2023 Robust and Fast Measure of Information via Low-Rank Representation Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li

ICCV 2023 Semi-Supervised Learning via Weight-Aware Distillation Under Class Distribution Mismatch Pan Du, Suyun Zhao, Zisen Sheng, Cuiping Li, Hong Chen

AAAI 2023 Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, Xin Tang

AAAI 2023 Stepdown SLOPE for Controlled Feature Selection Jingxuan Liang, Xuelin Zhang, Hong Chen, Weifu Li, Xin Tang

CVPR 2023 Superclass Learning with Representation Enhancement Zeyu Gan, Suyun Zhao, Jinlong Kang, Liyuan Shang, Hong Chen, Cuiping Li

ICCV 2023 Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation Wenjie Wei, Malu Zhang, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen

ICML 2023 Tilted Sparse Additive Models Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao

IJCAI 2023 Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li

CVPRW 2022 An Empirical Study of Data-Free Quantization's Tuning Robustness Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin

ICML 2022 Auxiliary Learning with Joint Task and Data Scheduling Hong Chen, Xin Wang, Chaoyu Guan, Yue Liu, Wenwu Zhu

ECCVW 2022 Bag of Tricks for Out-of-Distribution Generalization Zining Chen, Weiqiu Wang, Zhicheng Zhao, Aidong Men, Hong Chen

AAAI 2022 CODE: Contrastive Pre-Training with Adversarial Fine-Tuning for Zero-Shot Expert Linking Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang

AAAI 2022 Error-Based Knockoffs Inference for Controlled Feature Selection Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng

IJCAI 2022 Exploring Binary Classification Hidden Within Partial Label Learning Hengheng Luo, Yabin Zhang, Suyun Zhao, Hong Chen, Cuiping Li

ICLR 2022 Huber Additive Models for Non-Stationary Time Series Analysis Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao

ICML 2022 Large-Scale Graph Neural Architecture Search Chaoyu Guan, Xin Wang, Hong Chen, Ziwei Zhang, Wenwu Zhu

NeurIPS 2022 Module-Aware Optimization for Auxiliary Learning Hong Chen, Xin Wang, Yue Liu, Yuwei Zhou, Chaoyu Guan, Wenwu Zhu

CVPR 2022 NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge Duc Minh Vo, Hong Chen, Akihiro Sugimoto, Hideki Nakayama

CVPRW 2022 OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval Yunhao Du, Binyu Zhang, Xiangning Ruan, Fei Su, Zhicheng Zhao, Hong Chen

AAAI 2022 Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li

AAAI 2021 Commonsense Knowledge Aware Concept Selection for Diverse and Informative Visual Storytelling Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama

ICCV 2021 Contrastive Coding for Active Learning Under Class Distribution Mismatch Pan Du, Suyun Zhao, Hui Chen, Shuwen Chai, Hong Chen, Cuiping Li

NeurIPS 2021 Curriculum Disentangled Recommendation with Noisy Multi-Feedback Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu

AAAI 2021 Distributed Ranking with Communications: Approximation Analysis and Applications Hong Chen, Yingjie Wang, Yulong Wang, Feng Zheng

AAAI 2021 FLAME: Differentially Private Federated Learning in the Shuffle Model Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa

WACV 2021 Object Recognition with Continual Open Set Domain Adaptation for Home Robot Ikki Kishida, Hong Chen, Masaki Baba, Jiren Jin, Ayako Amma, Hideki Nakayama

IJCAI 2020 BERT-INT: A BERT-Based Interaction Model for Knowledge Graph Alignment Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, Cuiping Li

NeurIPS 2020 Multi-Task Additive Models for Robust Estimation and Automatic Structure Discovery Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen

ECML-PKDD 2020 Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin

ICML 2020 Sparse Shrunk Additive Models Guodong Liu, Hong Chen, Heng Huang

IJCAI 2019 Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework Hong Chen, Yongtan Luo, Liujuan Cao, Baochang Zhang, Guodong Guo, Cheng Wang, Jonathan Li, Rongrong Ji

AAAI 2019 Hierarchical Reinforcement Learning for Course Recommendation in MOOCs Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun

NeurIPS 2017 Group Sparse Additive Machine Hong Chen, Xiaoqian Wang, Cheng Deng, Heng Huang

NeurIPS 2017 Regularized Modal Regression with Applications in Cognitive Impairment Prediction Xiaoqian Wang, Hong Chen, Weidong Cai, Dinggang Shen, Heng Huang

NeurIPS 2016 Error Analysis of Generalized Nyström Kernel Regression Hong Chen, Haifeng Xia, Heng Huang, Weidong Cai

ICCV 2009 A Biased Sampling Strategy for Object Categorization Lei Yang, Nanning Zheng, Jie Yang, Mei Chen, Hong Chen

CVPR 2006 Composite Templates for Cloth Modeling and Sketching Hong Chen, Zi Jian Xu, Ziqiang Liu, Song Chun Zhu

CVPR 2005 A Generative Model of Human Hair for Hair Sketching Hong Chen, Song Chun Zhu

CVPR 2005 A High Resolution Grammatical Model for Face Representation and Sketching Zijian Xu, Hong Chen, Song Chun Zhu

CVPR 2003 An Efficient Approach to Learning Inhomogeneous Gibbs Model Ziqiang Liu, Hong Chen, Heung-Yeung Shum

ICCV 2001 Example-Based Facial Sketch Generation with Non-Parametric Sampling Hong Chen, Ying-Qing Xu, Heung-Yeung Shum, Song Chun Zhu, Nanning Zheng