Chen, Hao

215 publications

TMLR 2026 Learning from Online Videos at Inference Time for Computer-Use Agents Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang

CoRL 2025 3DS-VLA: A 3D Spatial-Aware Vision Language Action Model for Robust Multi-Task Manipulation Xiaoqi Li, Liang Heng, Jiaming Liu, Yan Shen, Chenyang Gu, Zhuoyang Liu, Hao Chen, Nuowei Han, Renrui Zhang, Hao Tang, Shanghang Zhang, Hao Dong

AAAI 2025 A Denoising Pre-Training Framework for Accelerating Novel Material Discovery Shuaike Shen, Ke Liu, Muzhi Zhu, Hao Chen

IJCAI 2025 A Survey of Pathology Foundation Model: Progress and Future Directions Conghao Xiong, Hao Chen, Joseph J. Y. Sung

ICLR 2025 BLEND: Behavior-Guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation Zhengrui Guo, Fangxu Zhou, Wei Wu, Qichen Sun, Lishuang Feng, Jinzhuo Wang, Hao Chen

ICML 2025 Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

ICLR 2025 Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions Xiaoran Jiao, Weian Mao, Wengong Jin, Peiyuan Yang, Hao Chen, Chunhua Shen

CVPR 2025 Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Peng Xie, Yequan Bie, Jianda Mao, Yangqiu Song, Yang Wang, Hao Chen, Kani Chen

ICCV 2025 Conditional Visual Autoregressive Modeling for Pathological Image Restoration Ziyi Liu, Zhe Xu, Jiabo Ma, Wenqiang Li, Ruixuan Wang, Bo Du, Hao Chen

ICML 2025 Context Matters: Query-Aware Dynamic Long Sequence Modeling of Gigapixel Images Zhengrui Guo, Qichen Sun, Jiabo Ma, Lishuang Feng, Jinzhuo Wang, Hao Chen

IJCAI 2025 DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning Miao Zhang, Jiawei Wang, Jinying Han, Kui Xiao, Zhifei Li, Yan Zhang, Hao Chen, Shihui Wang

NeurIPS 2025 DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks Canyu Zhao, Yanlong Sun, Mingyu Liu, Huanyi Zheng, Muzhi Zhu, Zhiyue Zhao, Hao Chen, Tong He, Chunhua Shen

AAAI 2025 DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident mAP Generation Xiankang He, Guangkai Xu, Bo Zhang, Hao Chen, Ying Cui, Dongyan Guo

CVPR 2025 Distilled Prompt Learning for Incomplete Multimodal Survival Prediction Yingxue Xu, Fengtao Zhou, Chenyu Zhao, Yihui Wang, Can Yang, Hao Chen

CVPR 2025 Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Jiafu Wu, Hao Chen, Haoxuan Wang, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang

ICCV 2025 DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability Xirui Hu, Jiahao Wang, Hao Chen, Weizhan Zhang, Benqi Wang, Yikun Li, Haishun Nan

NeurIPS 2025 EPA: Boosting Event-Based Video Frame Interpolation with Perceptually Aligned Learning Yuhan Liu, LingHui Fu, Zhen Yang, Hao Chen, Youfu Li, Yongjian Deng

AAAI 2025 ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance Yucheng Zhao, Gengyu Lyu, Ke Li, Zihao Wang, Hao Chen, Zhen Yang, Yongjian Deng

CVPR 2025 EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights Zhenghao Xing, Hao Chen, Binzhu Xie, Jiaqi Xu, Ziyu Guo, Xuemiao Xu, Jianye Hao, Chi-Wing Fu, Xiaowei Hu, Pheng-Ann Heng

NeurIPS 2025 Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules Gonzalo E. Constante Flores, Hao Chen, Can Li

NeurIPS 2025 Evaluating Program Semantics Reasoning with Type Inference in System $f$ Yifeng He, Luning Yang, Christopher Castro Gaw Gonzalo, Hao Chen

CVPR 2025 FOCUS: Knowledge-Enhanced Adaptive Visual Compression for Few-Shot Whole Slide Image Classification Zhengrui Guo, Conghao Xiong, Jiabo Ma, Qichen Sun, Lishuang Feng, Jinzhuo Wang, Hao Chen

NeurIPS 2025 Fast-in-Slow: A Dual-System VLA Model Unifying Fast Manipulation Within Slow Reasoning Hao Chen, Jiaming Liu, Chenyang Gu, Zhuoyang Liu, Renrui Zhang, Xiaoqi Li, Xiao He, Yandong Guo, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng

ICLR 2025 Framer: Interactive Frame Interpolation Wen Wang, Qiuyu Wang, Kecheng Zheng, Hao Ouyang, Zhekai Chen, Biao Gong, Hao Chen, Yujun Shen, Chunhua Shen

NeurIPS 2025 From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models Hao Sun, Zhongyi Han, Hao Chen, Jindong Wang, Xin Gao, Yilong Yin

NeurIPS 2025 GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling Tianhao Chen, Xin Xu, Zijing Liu, Pengxiang Li, Xinyuan Song, Ajay Kumar Jaiswal, Fan Zhang, Jishan Hu, Yang Wang, Hao Chen, Shizhe Diao, Shiwei Liu, Yu Li, Lu Yin, Can Yang

ICLR 2025 GameGen-X: Interactive Open-World Game Video Generation Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao Chen

CVPR 2025 Generalizable Object Keypoint Localization from Generative Priors Dongkai Wang, Jiang Duan, Liangjian Wen, Shiyu Xuan, Hao Chen, Shiliang Zhang

ICLR 2025 ImageFolder: Autoregressive Image Generation with Folded Tokens Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu, Bhiksha Raj, Zhe Lin

ICML 2025 Improving Multimodal Learning Balance and Sufficiency Through Data Remixing Xiaoyu Ma, Hao Chen, Yongjian Deng

AAAI 2025 Know Where You Are from: Event-Based Segmentation via Spatio-Temporal Propagation Ke Li, Gengyu Lyu, Hao Chen, Bochen Xie, Zhen Yang, Youfu Li, Yongjian Deng

ICLR 2025 LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior Hanyu Wang, Saksham Suri, Yixuan Ren, Hao Chen, Abhinav Shrivastava

AAAI 2025 Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization Miao Zhang, Jiawei Wang, Kui Xiao, Shihui Wang, Yan Zhang, Hao Chen, Zhifei Li

AAAI 2025 MM-Tracker: Motion Mamba for UAV-Platform Multiple Object Tracking Mufeng Yao, Jinlong Peng, Qingdong He, Bo Peng, Hao Chen, Mingmin Chi, Chao Liu, Jón Atli Benediktsson

IJCAI 2025 MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models Donghao Zhou, Jiancheng Huang, Jinbin Bai, Jiaze Wang, Hao Chen, Guangyong Chen, Xiaowei Hu, Pheng-Ann Heng

ICML 2025 Masked Autoencoders Are Effective Tokenizers for Diffusion Models Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj

CVPR 2025 Monocular and Generalizable Gaussian Talking Head Animation Shengjie Gong, Haojie Li, Jiapeng Tang, Dongming Hu, Shuangping Huang, Hao Chen, Tianshui Chen, Zhuoman Liu

ICLR 2025 MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences Canyu Zhao, Mingyu Liu, Wen Wang, Weihua Chen, Fan Wang, Hao Chen, Bo Zhang, Chunhua Shen

CVPR 2025 OSV: One Step Is Enough for High-Quality Image to Video Generation Xiaofeng Mao, Zhengkai Jiang, Fu-yun Wang, Jiangning Zhang, Hao Chen, Mingmin Chi, Yabiao Wang, Wenhan Luo

NeurIPS 2025 Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Hao Zhong, Muzhi Zhu, Zongze Du, Zheng Huang, Canyu Zhao, Mingyu Liu, Wen Wang, Hao Chen, Chunhua Shen

NeurIPS 2025 On Fairness of Unified Multimodal Large Language Model for Image Generation Ming Liu, Hao Chen, Jindong Wang, Liwen Wang, Bhiksha Raj, Wensheng Zhang

ICML 2025 PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model Baijiong Lin, Weisen Jiang, Yuancheng Xu, Hao Chen, Ying-Cong Chen

CVPR 2025 PEACE: Empowering Geologic mAP Holistic Understanding with MLLMs Yangyu Huang, Tianyi Gao, Haoran Xu, Qihao Zhao, Yang Song, Zhipeng Gui, Tengchao Lv, Hao Chen, Lei Cui, Scarlett Li, Furu Wei

ICCV 2025 POMATO: Marrying Pointmap Matching with Temporal Motions for Dynamic 3D Reconstruction Songyan Zhang, Yongtao Ge, Jinyuan Tian, Guangkai Xu, Hao Chen, Chen Lv, Chunhua Shen

NeurIPS 2025 ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation Pengcheng Huang, Zhenghao Liu, Yukun Yan, Haiyan Zhao, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong

ICLR 2025 PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training Cong Chen, Mingyu Liu, Chenchen Jing, Yizhou Zhou, Fengyun Rao, Hao Chen, Bo Zhang, Chunhua Shen

ICML 2025 Physics Aware Neural Networks for Unsupervised Binding Energy Prediction Ke Liu, Hao Chen, Chunhua Shen

CVPR 2025 Point Cloud Upsampling Using Conditional Diffusion Module with Adaptive Noise Suppression Boqian Zhang, Shen Yang, Hao Chen, Chao Yang, Jing Jia, Guang Jiang

ICLR 2025 RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong

ICML 2025 Reinforced Lifelong Editing for Language Models Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang

ICML 2025 Rethinking the Bias of Foundation Model Under Long-Tailed Distribution Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su

ICLR 2025 Revisiting Convolution Architecture in the Realm of DNA Foundation Models Yu Bo, Weian Mao, Yanjun Shao, Weiqiang Bai, Peng Ye, Xinzhu Ma, Junbo Zhao, Hao Chen, Chunhua Shen

NeurIPS 2025 Revisiting End-to-End Learning with Slide-Level Supervision in Computational Pathology Wenhao Tang, Rong Qin, Heng Fang, Fengtao Zhou, Hao Chen, Xiang Li, Ming-Ming Cheng

NeurIPS 2025 Role-Aware Multi-Agent Reinforcement Learning for Coordinated Emergency Traffic Control Ming Cheng, Hao Chen, Zhiqing Li, Jia Wang, Senzhang Wang

ICML 2025 SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming Hong-Ming Chiu, Hao Chen, Huan Zhang, Richard Y. Zhang

CVPR 2025 Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution Siwei Tu, Ben Fei, Weidong Yang, Fenghua Ling, Hao Chen, Zili Liu, Kun Chen, Hang Fan, Wanli Ouyang, Lei Bai

ICCV 2025 Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data Qi Chen, Xinze Zhou, Chen Liu, Hao Chen, Wenxuan Li, Zekun Jiang, Ziyan Huang, Yuxuan Zhao, Dexin Yu, Junjun He, Yefeng Zheng, Ling Shao, Alan Yuille, Zongwei Zhou

IJCAI 2025 Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, Chunhua Shen

CVPR 2025 SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories Muzhi Zhu, Yuzhuo Tian, Hao Chen, Chunluan Zhou, Qingpei Guo, Yang Liu, Ming Yang, Chunhua Shen

ICML 2025 Self-Cross Feature Based Spiking Neural Networks for Efficient Few-Shot Learning Qi Xu, Junyang Zhu, Dongdong Zhou, Hao Chen, Yang Liu, Jiangrong Shen, Qiang Zhang

ICCV 2025 Separation for Better Integration: Disentangling Edge and Motion in Event-Based Deblurring Yufei Zhu, Hao Chen, Yongjian Deng, Wei You

CVPR 2025 SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum

ICML 2025 Structure-Guided Large Language Models for Text-to-SQL Generation Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang

ICCV 2025 SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting Zihui Gao, Jia-Wang Bian, Guosheng Lin, Hao Chen, Chunhua Shen

NeurIPS 2025 SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset Peng Xie, Xingyuan Liu, Yequan Bie, Tsz Wai Chan, Yangqiu Song, Yang Wang, Hao Chen, Kani Chen

AAAI 2025 TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings Dawei Yan, Pengcheng Li, Yang Li, Hao Chen, Qingguo Chen, Weihua Luo, Wei Dong, Qingsen Yan, Haokui Zhang, Chunhua Shen

AAAI 2025 Time Series Supplier Allocation via Deep Black-Litterman Model Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo

NeurIPS 2025 Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs Xingang Guo, Yaxin Li, XiangYi Kong, Yilan Jiang, Xiayu Zhao, Zhihua Gong, Yufan Zhang, Daixuan Li, Tianle Sang, Beixiao Zhu, Gregory Jun, Yingbing Huang, Yiqi Liu, Yuqi Xue, Rahul Dev Kundu, Qi Jian Lim, Yizhou Zhao, Luke Alexander Granger, Mohamed Badr Younis, Darioush Keivan, Nippun Sabharwal, Shreyanka Sinha, Prakhar Agarwal, Kojo Vandyck, Hanlin Mai, Zichen Wang, Aditya Venkatesh, Ayush Barik, Jiankun Yang, Chongying Yue, Jingjie He, Libin Wang, Licheng Xu, Hao Chen, Jinwen Wang, Liujun Xu, Rushabh Shetty, Ziheng Guo, Dahui Song, Manvi Jha, Weijie Liang, Weiman Yan, Bryan Zhang, Sahil Bhandary Karnoor, Jialiang Zhang, Rutva Pandya, Xinyi Gong, Mithesh Ballae Ganesh, Feize Shi, Ruiling Xu, Yifan Zhang, Yanfeng Ouyang, Lianhui Qin, Elyse Rosenbaum, Corey Snyder, Peter Seiler, Geir Dullerud, Xiaojia Shelly Zhang, Zuofu Cheng, Pavan Kumar Hanumolu, Jian Huang, Mayank Kulkarni, Mahdi Namazifar, Huan Zhang, Bin Hu

AAAI 2025 Towards Loss-Resilient Image Coding for Unstable Satellite Networks Hongwei Sha, Muchen Dong, Quanyou Luo, Ming Lu, Hao Chen, Zhan Ma

ICCV 2025 Unified Open-World Segmentation with Multi-Modal Prompts Yang Liu, Yufei Yin, Chenchen Jing, Muzhi Zhu, Hao Chen, Yuling Xi, Bo Feng, Hao Wang, Shiyu Li, Chunhua Shen

NeurIPS 2025 Unleashing Hour-Scale Video Training for Long Video-Language Understanding Jingyang Lin, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Xiaodong Yu, Hao Chen, Jiebo Luo, Zicheng Liu, Emad Barsoum

ICCV 2025 UnrealZoo: Enriching Photo-Realistic Virtual Worlds for Embodied AI Fangwei Zhong, Kui Wu, Churan Wang, Hao Chen, Hai Ci, Zhoujun Li, Yizhou Wang

ICCV 2025 VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Hao Chen, Han Tao, Guo Song, Jie Zhang, Yonghan Dong, Yunlong Yu, Lei Bai

NeurIPS 2025 Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations Jiaming Han, Hao Chen, Yang Zhao, Hanyu Wang, Qi Zhao, Ziyan Yang, Hao He, Xiangyu Yue, Lu Jiang

ICLR 2025 WeatherGFM: Learning a Weather Generalist Foundation Model via In-Context Learning Xiangyu Zhao, Zhiwang Zhou, Zhangwenlong, Yihao Liu, Xiangyu Chen, Junchao Gong, Hao Chen, Ben Fei, Shiqi Chen, Wanli Ouyang, Xiao-Ming Wu, Lei Bai

ICLR 2025 What Matters When Repurposing Diffusion Models for General Dense Perception Tasks? Guangkai Xu, Yongtao Ge, Mingyu Liu, Chengxiang Fan, Kangyang Xie, Zhiyue Zhao, Hao Chen, Chunhua Shen

CVPRW 2025 Zero-Shot Denoising for Fluorescence Lifetime Imaging Microscopy with Intensity-Guided Learning Hao Chen, Julian Najera, Dagmawit Geresu, Meenal Datta, Cody J. Smith, Scott S. Howard

CVPR 2024 360+x: A Panoptic Multi-Modal Scene Understanding Dataset Hao Chen, Yuqi Hou, Chenyuan Qu, Irene Testini, Xiaohan Hong, Jianbo Jiao

AAAI 2024 A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning Yongjian Deng, Hao Chen, Youfu Li

ICML 2024 A General Framework for Learning from Weak Supervision Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

NeurIPS 2024 A Motion-Aware Spatio-Temporal Graph for Video Salient Object Ranking Hao Chen, Yufei Zhu, Yongjian Deng

NeurIPS 2024 A Simple Image Segmentation Framework via In-Context Examples Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, Chunhua Shen

CVPRW 2024 Advancing COVID-19 Detection in 3D CT Scans Qingqiu Li, Runtian Yuan, Junlin Hou, Jilan Xu, Yuejie Zhang, Rui Feng, Hao Chen

ICMLW 2024 Boost Your Crystal Model with Denoising Pre-Training Shuaike Shen, Ke Liu, Muzhi Zhu, Hao Chen

ICML 2024 CompeteAI: Understanding the Competition Dynamics of Large Language Model-Based Agents Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie

ICMLW 2024 CompeteAI: Understanding the Competition Dynamics of Large Language Model-Based Agents Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie

ICML 2024 Completing Visual Objects via Bridging Generation and Segmentation Xiang Li, Yinpeng Chen, Chung-Ching Lin, Hao Chen, Kai Hu, Rita Singh, Bhiksha Raj, Lijuan Wang, Zicheng Liu

CVPRW 2024 Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides

NeurIPS 2024 Cost-Efficient Knowledge-Based Question Answering with Large Language Models Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang

ICLR 2024 De Novo Protein Design Using Geometric Vector Field Networks Weian Mao, Muzhi Zhu, Zheng Sun, Shuaike Shen, Lin Yuanbo Wu, Hao Chen, Chunhua Shen

MLJ 2024 Deep Multimodal Representation Learning for Generalizable Person Re-Identification Suncheng Xiang, Hao Chen, Wei Ran, Zefang Yu, Ting Liu, Dahong Qian, Yuzhuo Fu

CVPR 2024 DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data Chengxiang Fan, Muzhi Zhu, Hao Chen, Yang Liu, Weijia Wu, Huaqi Zhang, Chunhua Shen

CVPRW 2024 Domain Adaptation Using Pseudo Labels for COVID-19 Detection Runtian Yuan, Qingqiu Li, Junlin Hou, Jilan Xu, Yuejie Zhang, Rui Feng, Hao Chen

ECML-PKDD 2024 Efficient Privacy-Preserving Truth Discovery and Copy Detection in Crowdsourcing Xiu Susie Fang, Xinyang Du, Hao Chen, Ziqi Wei, Yong Zhan, Guohao Sun

ECCV 2024 Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL Fangwei Zhong, Kui Wu, Hai Ci, Chu-ran Wang, Hao Chen

ECCV 2024 Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts Andong Tan, Fengtao Zhou, Hao Chen

NeurIPS 2024 FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation Kun Chen, Peng Ye, Hao Chen, Kang Chen, Tao Han, Wanli Ouyang, Tao Chen, Lei Bai

ECCV 2024 Fast Encoding and Decoding for Implicit Video Representation Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava

NeurIPS 2024 Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination Ruochen Liu, Hao Chen, Yuanchen Bei, Qijie Shen, Fangwei Zhong, Senzhang Wang, Jianxin Wang

ICML 2024 Floating Anchor Diffusion Model for Multi-Motif Scaffolding Ke Liu, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Chen, Chunhua Shen

ECCV 2024 FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior Zhekai Chen, Wen Wang, Zhen Yang, Zeqing Yuan, Hao Chen, Chunhua Shen

CVPR 2024 FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition Ganggui Ding, Canyu Zhao, Wen Wang, Zhen Yang, Zide Liu, Hao Chen, Chunhua Shen

CVPRW 2024 GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing Hao Lu, Xuesong Niu, Jiyao Wang, Yin Wang, Qingyong Hu, Jiaqi Tang, Yuting Zhang, Kaishen Yuan, Bin Huang, Zitong Yu, Dengbo He, Shuiguang Deng, Hao Chen, Yingcong Chen, Shiguang Shan

NeurIPS 2024 Generalizing Weather Forecast to Fine-Grained Temporal Scales via Physics-AI Hybrid Modeling Wanghan Xu, Fenghua Ling, Wenlong Zhang, Tao Han, Hao Chen, Wanli Ouyang, Lei Bai

ICML 2024 Generative Active Learning for Long-Tailed Instance Segmentation Muzhi Zhu, Chengxiang Fan, Hao Chen, Yang Liu, Weian Mao, Xiaogang Xu, Chunhua Shen

NeurIPS 2024 Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

NeurIPS 2024 Improved Generation of Adversarial Examples Against Safety-Aligned LLMs Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

NeurIPS 2024 KnowGPT: Knowledge Graph Based Prompting for Large Language Models Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang

AAAI 2024 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou

AAAI 2024 MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment Yequan Bie, Luyang Luo, Hao Chen

ICLR 2024 Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen

NeurIPS 2024 Metric from Human: Zero-Shot Monocular Metric Depth Estimation via Test-Time Adaptation Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu

ICLR 2024 Object-Aware Inversion and Reassembly for Image Editing Zhen Yang, Ganggui Ding, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen

DMLR 2024 On Catastrophic Inheritance of Large Foundation Models Hao Chen, Bhiksha Raj, Xing Xie, Jindong Wang

ICLR 2024 PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang

WACV 2024 Pixel Matching Network for Cross-Domain Few-Shot Segmentation Hao Chen, Yonghan Dong, Zheming Lu, Yunlong Yu, Jungong Han

ICML 2024 Post-Hoc Part-Prototype Networks Andong Tan, Fengtao Zhou, Hao Chen

MLOSS 2024 PromptBench: A Unified Library for Evaluation of Large Language Models Kaijie Zhu, Qinlin Zhao, Hao Chen, Jindong Wang, Xing Xie

AAAI 2024 PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen

ICLR 2024 Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction Yilan Zhang, Yingxue Xu, Jianqi Chen, Fengying Xie, Hao Chen

NeurIPS 2024 Prune and Repaint: Content-Aware Image Retargeting for Any Ratio Feihong Shen, Chao Li, Yifeng Geng, Yongjian Deng, Hao Chen

ECCV 2024 R^2-Bench: Benchmarking the Robustness of Referring Perception Models Under Perturbations Xiang Li, Kai Qiu, Jinglu Wang, Xiaohao Xu, Kashu Yamazaki, Hao Chen, Rita Singh, Xiaonan Huang, Bhiksha Raj

AAAI 2024 Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning Chenchen Jing, Yukun Li, Hao Chen, Chunhua Shen

AAAI 2024 Revisiting Open-Set Panoptic Segmentation Yufei Yin, Hao Chen, Wengang Zhou, Jiajun Deng, Haiming Xu, Houqiang Li

IJCAI 2024 Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang

ECCV 2024 Self-Supervised Video Desmoking for Laparoscopic Surgery Renlong Wu, Zhilu Zhang, Shuohao Zhang, Longfei Gou, Haobin Chen, Lei Zhang, Hao Chen, Wangmeng Zuo

NeurIPS 2024 Slight Corruption in Pre-Training Data Makes Better Diffusion Models Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj

NeurIPS 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Saikat Roy, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Klaus H. Maier-Hein, Paul Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

ICML 2024 Towards a Self-Contained Data-Driven Global Weather Forecasting Framework Yi Xiao, Lei Bai, Wei Xue, Hao Chen, Kun Chen, Kang Chen, Tao Han, Wanli Ouyang

NeurIPS 2024 Transformer Doctor: Diagnosing and Treating Vision Transformers Jiacong Hu, Hao Chen, Kejia Chen, Yang Gao, Jingwen Ye, Xingen Wang, Mingli Song, Zunlei Feng

ICLR 2024 Understanding and Mitigating the Label Noise in Pre-Training on Downstream Tasks Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj

NeurIPS 2024 Unleashing the Potential of the Diffusion Model in Few-Shot Semantic Segmentation Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen

CVPR 2024 Video Frame Interpolation via Direct Synthesis with the Event-Based Reference Yuhan Liu, Yongjian Deng, Hao Chen, Zhen Yang

CVPR 2024 VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis Linshan Wu, Jiaxin Zhuang, Hao Chen

COLT 2023 A New Ranking Scheme for Modern Data and Its Application to Two-Sample Hypothesis Testing Doudou Zhou, Hao Chen

CVPR 2023 Boosting Transductive Few-Shot Fine-Tuning with Margin-Based Uncertainty Weighting and Probability Regularization Ran Tao, Hao Chen, Marios Savvides

ICCV 2023 CTVIS: Consistent Training for Online Video Instance Segmentation Kaining Ying, Qing Zhong, Weian Mao, Zhenhua Wang, Hao Chen, Lin Yuanbo Wu, Yifan Liu, Chengxiang Fan, Yunzhi Zhuge, Chunhua Shen

AAAI 2023 Consensus Learning for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, Hao Chen, Guoliang Fan

ICCV 2023 Cross-Modal Translation and Alignment for Survival Analysis Fengtao Zhou, Hao Chen

NeurIPS 2023 DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen

IJCAI 2023 Diagnose like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King

CVPR 2023 DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation Hao Jiang, Rushan Zhang, Yanning Zhou, Yumeng Wang, Hao Chen

ICLR 2023 FreeMatch: Self-Adaptive Thresholding for Semi-Supervised Learning Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie

ICCV 2023 FrozenRecon: Pose-Free 3D Scene Reconstruction with Frozen Depth Models Guangkai Xu, Wei Yin, Hao Chen, Chunhua Shen, Kai Cheng, Feng Zhao

CVPR 2023 HNeRV: A Hybrid Neural Representation for Videos Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava

CVPRW 2023 Harnessing the Power of Text-Image Contrastive Models for Automatic Detection of Online Misinformation Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu

CVPR 2023 Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding Haoxuan Che, Siyu Chen, Hao Chen

NeurIPS 2023 Improving Adversarial Transferability via Intermediate-Level Perturbation Decay Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

CVPR 2023 Learning Conditional Attributes for Compositional Zero-Shot Learning Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen

CVPR 2023 Learning to Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes Rui Li, Dong Gong, Wei Yin, Hao Chen, Yu Zhu, Kaixuan Wang, Xiaozhi Chen, Jinqiu Sun, Yanning Zhang

ICCV 2023 MHCN: A Hyperbolic Neural Network Model for Multi-View Hierarchical Clustering Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu

ICLR 2023 Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

ICCV 2023 Metric3D: Towards Zero-Shot Metric 3D Prediction from a Single Image Wei Yin, Chi Zhang, Hao Chen, Zhipeng Cai, Gang Yu, Kaixuan Wang, Xiaozhi Chen, Chunhua Shen

ICCV 2023 Multi-View Self-Supervised Disentanglement for General Image Denoising Hao Chen, Chenyuan Qu, Yu Zhang, Chen Chen, Jianbo Jiao

ICCV 2023 Multimodal Optimal Transport-Based Co-Attention Transformer with Global Structure Consistency for Survival Prediction Yingxue Xu, Hao Chen

ICLRW 2023 On the Robustness of ChatGPT: An Adversarial and Out-of-Distribution Perspective Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie

ICCVW 2023 Progressive Feature Adjustment for Semi-Supervised Learning from Pretrained Models Hai-Ming Xu, Lingqiao Liu, Hao Chen, Ehsan Abbasnejad, Rafael Felix

ICCV 2023 SegPrompt: Boosting Open-World Segmentation via Category-Level Prompt Learning Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen

ICLR 2023 SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-Supervised Learning Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides

CVPR 2023 Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures Linshan Wu, Zhun Zhong, Leyuan Fang, Xingxin He, Qiang Liu, Jiayi Ma, Hao Chen

ICLR 2023 Squeeze Training for Adversarial Robustness Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

CVPRW 2023 The Second Monocular Depth Estimation Challenge Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao

NeurIPS 2023 Towards Evaluating Transfer-Based Attacks Systematically, Practically, and Fairly Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

CVPR 2023 Towards Scalable Neural Representation for Diverse Videos Bo He, Xitong Yang, Hanyu Wang, Zuxuan Wu, Hao Chen, Shuaiyi Huang, Yixuan Ren, Ser-Nam Lim, Abhinav Shrivastava

NeurIPS 2023 Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning Shenzhi Wang, Qisen Yang, Jiawei Gao, Matthieu Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang

ICCV 2023 Traj-MAE: Masked Autoencoders for Trajectory Prediction Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng

CVPR 2022 A Voxel Graph CNN for Object Classification with Event Cameras Yongjian Deng, Hao Chen, Hai Liu, Youfu Li

NeurIPS 2022 An In-Depth Study of Stochastic Backpropagation Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe

ECCV 2022 Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars Hao Chen, Xiu-Shen Wei, Faen Zhang, Yang Shen, Hui Xu, Liang Xiao

JMLR 2022 Gaussian Process Parameter Estimation Using Mini-Batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits Hao Chen, Lili Zheng, Raed Al Kontar, Garvesh Raskutti

WACV 2022 NUTA: Non-Uniform Temporal Aggregation for Action Recognition Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen, Joseph Tighe

WACV 2022 SSCAP: Self-Supervised Co-Occurrence Action Parsing for Unsupervised Temporal Action Segmentation Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless Fowlkes

CVPR 2022 Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models Feng Cheng, Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Li, Wei Xia

CVPR 2022 TubeR: Tubelet Transformer for Video Action Detection Jiaojiao Zhao, Yanyi Zhang, Xinyu Li, Hao Chen, Bing Shuai, Mingze Xu, Chunhui Liu, Kaustav Kundu, Yuanjun Xiong, Davide Modolo, Ivan Marsic, Cees G. M. Snoek, Joseph Tighe

NeurIPS 2022 USB: A Unified Semi-Supervised Learning Benchmark for Classification Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang

CVPR 2022 Uni6D: A Unified CNN Framework Without Projection Breakdown for 6d Pose Estimation Xiaoke Jiang, Donghai Li, Hao Chen, Ye Zheng, Rui Zhao, Liwei Wu

ECCV 2022 Unitail: Detecting, Reading, and Matching in Retail Scene Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides

CVPR 2022 What to Look at and Where: Semantic and Spatial Refined Transformer for Detecting Human-Object Interactions A S M Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo

IJCAI 2021 AMA-GCN: Adaptive Multi-Layer Aggregation Graph Convolutional Network for Disease Prediction Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He

CVPR 2021 BoxInst: High-Performance Instance Segmentation with Box Annotations Zhi Tian, Chunhua Shen, Xinlong Wang, Hao Chen

AAAI 2021 Dialog Router: Automated Dialog Transition via Multi-Task Learning Ziming Huang, Zhuoxuan Jiang, Hao Chen, Xue Han, Yabin Dang

WACV 2021 Enhancing Diversity in Teacher-Student Networks via Asymmetric Branches for Unsupervised Person Re-Identification Hao Chen, Benoit Lagadec, Francois Bremond

CVPR 2021 Generic Perceptual Loss for Modeling Structured Output Dependencies Yifan Liu, Hao Chen, Yu Chen, Wei Yin, Chunhua Shen

ICCV 2021 ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification Hao Chen, Benoit Lagadec, François Bremond

CVPR 2021 Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification Hao Chen, Yaohui Wang, Benoit Lagadec, Antitza Dantcheva, Francois Bremond

NeurIPS 2021 Long Short-Term Transformer for Online Action Detection Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto

NeurIPS 2021 NeRV: Neural Representations for Videos Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser Nam Lim, Abhinav Shrivastava

MLJ 2021 Protect Privacy of Deep Classification Networks by Exploiting Their Generative Power Jiyu Chen, Yiwen Guo, Qianjun Zheng, Hao Chen

ICCV 2021 Selective Feature Compression for Efficient Activity Recognition Inference Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe

CVPR 2021 The Lottery Ticket Hypothesis for Object Recognition Sharath Girish, Shishira R Maiya, Kamal Gupta, Hao Chen, Larry S. Davis, Abhinav Shrivastava

ICCV 2021 VidTr: Video Transformer Without Convolutions Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe

ECCV 2020 3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre

WACV 2020 Architecture Search of Dynamic Cells for Semantic Video Segmentation Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian Reid

NeurIPS 2020 Backpropagating Linearly Improves Transferability of Adversarial Examples Yiwen Guo, Qizhang Li, Hao Chen

ECCV 2020 Conditional Convolutions for Instance Segmentation Zhi Tian, Chunhua Shen, Hao Chen

ICLR 2020 Fooling Detection Alone Is Not Enough: Adversarial Attack Against Multiple Object Tracking Yunhan Jia, Yantao Lu, Junjie Shen, Qi Alfred Chen, Hao Chen, Zhenyu Zhong, Tao Wei

WACV 2020 Learning Discriminative and Generalizable Representations by Spatial-Channel Partition for Person Re-Identification Hao Chen, Benoit Lagadec, Francois Bremond

NeurIPS 2020 Practical No-Box Adversarial Attacks Against DNNs Qizhang Li, Yiwen Guo, Hao Chen

NeurIPS 2020 Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes Hao Chen, Lili Zheng, Raed AL Kontar, Garvesh Raskutti

ECCV 2020 Yet Another Intermediate-Level Attack Qizhang Li, Yiwen Guo, Hao Chen

CVPRW 2019 Adversarial Large-Scale Root Gap Inpainting Hao Chen, Mario Valerio Giuffrida, Peter Doerner, Sotirios A. Tsaftaris

IJCAI 2019 DeltaDou: Expert-Level Doudizhu AI Through Self-Play Qiqi Jiang, Kuangzheng Li, Boyao Du, Hao Chen, Hai Fang

IJCAI 2019 Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen

CVPRW 2019 Partition and Reunion: A Two-Branch Neural Network for Vehicle Re-Identification Hao Chen, Benoit Lagadec, François Brémond

AAAI 2019 Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng

IJCAI 2019 Theoretical Investigation of Generalization Bound for Residual Networks Hao Chen, Zhanfeng Mo, Zhouwang Yang, Xiao Wang

AAAI 2018 LSTD: A Low-Shot Transfer Detector for Object Detection Hao Chen, Yali Wang, Guoyou Wang, Yu Qiao

AAAI 2018 SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng

WACV 2018 ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng

IJCAI 2018 Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng

AAAI 2017 Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng

CVPR 2016 DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng

AAAI 2016 Deep Contextual Networks for Neuronal Structure Segmentation Hao Chen, Xiaojuan Qi, Jie-Zhi Cheng, Pheng-Ann Heng

AAAI 2016 Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng-Ann Heng

ICCV 2015 Square Localization for Efficient and Accurate Object Detection Cewu Lu, Yongyi Lu, Hao Chen, Chi-Keung Tang