Cheng, Hao

76 publications

AAAI 2025 Adaptive Decision Boundary for Few-Shot Class-Incremental Learning Linhao Li, Yongzhang Tan, Siyuan Yang, Hao Cheng, Yongfeng Dong, Liang Yang

ICML 2025 CollabLLM: From Passive Responders to Active Collaborators Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, Jure Leskovec, Jianfeng Gao

NeurIPS 2025 Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation Liliang Ren, Congcong Chen, Haoran Xu, Young Jin Kim, Adam Atkinson, Zheng Zhan, Jiankai Sun, Baolin Peng, Liyuan Liu, Shuohang Wang, Hao Cheng, Jianfeng Gao, Weizhu Chen, Yelong Shen

ICML 2025 EFDTR: Learnable Elliptical Fourier Descriptor Transformer for Instance Segmentation Jiawei Cao, Chaochen Gu, Hao Cheng, Xiaofeng Zhang, Kaijie Wu, Changsheng Lu

ICLR 2025 ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu

ICLR 2025 Generative Adapter: Contextualizing Language Models in Parameters with a Single Forward Pass Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng

NeurIPS 2025 Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language Models Hao Cheng, Erjia Xiao, Jing Shao, Yichi Wang, Le Yang, Chao Shen, Philip Torr, Jindong Gu, Renjing Xu

CVPR 2025 Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Hao Cheng, Erjia Xiao, Jiayan Yang, Jiahang Cao, Qiang Zhang, Jize Zhang, Kaidi Xu, Jindong Gu, Renjing Xu

NeurIPS 2025 Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval Jian Xiao, Zijie Song, Jialong Hu, Hao Cheng, Zhenzhen Hu, Jia Li, Richang Hong

CVPR 2025 Reconciling Stochastic and Deterministic Strategies for Zero-Shot Image Restoration Using Diffusion Model in Dual Chong Wang, Lanqing Guo, Zixuan Fu, Siyuan Yang, Hao Cheng, Alex C. Kot, Bihan Wen

NeurIPS 2025 Reinforcement Learning for Reasoning in Large Language Models with One Training Example Yiping Wang, Qing Yang, Zhiyuan Zeng, Liliang Ren, Liyuan Liu, Baolin Peng, Hao Cheng, Xuehai He, Kuan Wang, Jianfeng Gao, Weizhu Chen, Shuohang Wang, Simon Shaolei Du, Yelong Shen

NeurIPS 2025 SAS: Simulated Attention Score Chuanyang Zheng, Jiankai Sun, Yihang Gao, Yuehao Wang, Peihao Wang, Jing Xiong, Liliang Ren, Hao Cheng, Janardhan Kulkarni, Yelong Shen, Zhangyang Wang, Mac Schwager, Anderson Schneider, Xiaodong Liu, Jianfeng Gao

ICLR 2025 SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao

ICLR 2025 Streaming Video Question-Answering with In-Context Video KV-Cache Retrieval Shangzhe Di, Zhelun Yu, Guanghao Zhang, Haoyuan Li, TaoZhong, Hao Cheng, Bolin Li, Wanggui He, Fangxun Shu, Hao Jiang

ICML 2025 Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning Jinlong Pang, Na Di, Zhaowei Zhu, Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu

ICCV 2025 TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination via Latent Truthful-Guided Pre-Intervention Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

ICCV 2025 monoVLN: Bridging the Observation Gap Between Monocular and Panoramic Vision and Language Navigation Renjie Lu, Yu Zhou, Hao Cheng, Jingke Meng, Wei-Shi Zheng

CVPR 2024 ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

CVPRW 2024 CityLLaVA: Efficient Fine-Tuning for VLMs in City Scenario Zhizhao Duan, Hao Cheng, Duo Xu, Xi Wu, Xiangxie Zhang, Xi Ye, Zhen Xie

ICLR 2024 DOS: Diverse Outlier Sampling for Out-of-Distribution Detection Wenyu Jiang, Hao Cheng, MingCai Chen, Chongjun Wang, Hongxin Wei

ECCV 2024 DyFADet: Dynamic Feature Aggregation for Temporal Action Detection Le Yang, Ziwei Zheng, Yizeng Han, Hao Cheng, Shiji Song, Gao Huang, Fan Li

CoRL 2024 FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality Keyu Chen, Yuheng Lei, Hao Cheng, Haoran Wu, Wenchao Sun, Sifa Zheng

ICLR 2024 Fast-ELECTRA for Efficient Pre-Training Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu

AAAI 2024 FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao

NeurIPSW 2024 Generative Adapter: Contextualizing Language Models in Parameters with a Single Forward Pass Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng

CVPRW 2024 LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints Mengmeng Liu, Hao Cheng, Lin Chen, Hellward Broszio, Jiangtao Li, Runjiang Zhao, Monika Sester, Michael Ying Yang

ECCV 2024 LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li

NeurIPSW 2024 LORC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy Rongzhi Zhang, Kuan Wang, Liyuan Liu, Shuohang Wang, Hao Cheng, Chao Zhang, Yelong Shen

ICLR 2024 MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao

CVPR 2024 Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen

ICLR 2024 RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun

ECCV 2024 STSP: Spatial-Temporal Subspace Projection for Video Class-Incremental Learning Hao Cheng, Siyuan Yang, Chong Wang, Joey Tianyi Zhou, Alex Kot, Bihan Wen

NeurIPSW 2024 SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao

WACV 2024 Spiking Denoising Diffusion Probabilistic Models Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu

NeurIPS 2024 Spiking Neural Network as Adaptive Event Stream Slicer Jiahang Cao, Mingyuan Sun, Ziqing Wang, Hao Cheng, Qiang Zhang, Shibo Zhou, Renjing Xu

ICLR 2024 Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu

ECCV 2024 Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu

NeurIPS 2023 Augmenting Language Models with Long-Term Memory Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei

NeurIPSW 2023 Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao

NeurIPS 2023 Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao

NeurIPSW 2023 Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao

IJCAI 2023 Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang

ICCV 2023 Frequency Guidance Matters in Few-Shot Learning Hao Cheng, Siyuan Yang, Joey Tianyi Zhou, Lanqing Guo, Bihan Wen

ICML 2023 Identifiability of Label Noise Transition Matrix Yang Liu, Hao Cheng, Kun Zhang

IJCAI 2023 Improve Video Representation with Temporal Adversarial Augmentation Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu

NeurIPSW 2023 MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao

ICLR 2023 Mitigating Memorization of Noisy Labels via Regularization Between Representations Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu

ICLR 2023 Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon

AAAI 2023 READ: Aggregating Reconstruction Error into Out-of-Distribution Detection Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang

ICMLW 2023 Self-Verification Improves Few-Shot Clinical Information Extraction Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon

AAAI 2023 ShadowFormer: Global Context Helps Shadow Removal Lanqing Guo, Siyu Huang, Ding Liu, Hao Cheng, Bihan Wen

ICCVW 2023 Tracing the Influence of Predecessors on Trajectory Prediction Mengmeng Liu, Hao Cheng, Michael Ying Yang

NeurIPSW 2023 Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models' Alignment Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, Hang Li

AAAI 2023 Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang

ICLR 2023 Visually-Augmented Language Modeling Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei

ECCV 2022 DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen

IJCAI 2022 Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang

ICLR 2022 Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu

ICML 2022 Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li

TMLR 2022 Variational Disentanglement for Domain Generalization Yufei Wang, Haoliang Li, Hao Cheng, Bihan Wen, Lap-Pui Chau, Alex Kot

ICLR 2021 Learning with Instance-Dependent Label Noise: A Sample Sieve Approach Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu

AAAI 2021 One for More: Selecting Generalizable Samples for Generalizable ReID Model Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun

CVPR 2021 Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J. Ma, Hao Cheng, Pai Peng, Feiyue Huang, Rongrong Ji, Xing Sun

AAAI 2020 Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li

ECCV 2020 Do Not Disturb Me: Person Re-Identification Under the Interference of Other Pedestrians Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun

NeurIPS 2020 Pruning Filter in Filter Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun

AAAI 2019 A Unified Approach to Online Matching with Conflict-Aware Constraints Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas

ECCV 2018 Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng

IJCAI 2018 Towards Generalized and Efficient Metric Learning on Riemannian Manifold Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang

ECCVW 2018 VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song

ECCVW 2018 VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He

ECCVW 2018 VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Haotian Wu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Lianjie Wang, Arne Schumann, Dan Wang, Diego Ortego, Elena Luna, Emmanouil Michail, Erik Bochinski, Feng Ni, Filiz Bunyak, Gege Zhang, Guna Seetharaman, Guorong Li, Hongyang Yu, Ioannis Kompatsiaris, Jianfei Zhao, Jie Gao, José M. Martínez, Juan C. SanMiguel, Kannappan Palaniappan, Konstantinos Avgerinakis, Lars Wilko Sommer, Martin Lauer, Mengkun Liu, Noor M. Al-Shakarji, Oliver Acatay, Panagiotis Giannakeris, Qijie Zhao, Qinghua Ma, Qingming Huang, Stefanos Vrochidis, Thomas Sikora, Tobias Senst, Wei Song, Wei Tian, Wenhua Zhang, Yanyun Zhao, Yidong Bai, Yinan Wu, Yongtao Wang, Yuxuan Li, Zhaoliang Pi, Zhiming Ma

AISTATS 2016 Scalable and Sound Low-Rank Tensor Learning Hao Cheng, Yaoliang Yu, Xinhua Zhang, Eric P. Xing, Dale Schuurmans

ICML 2013 Characterizing the Representer Theorem Yaoliang Yu, Hao Cheng, Dale Schuurmans, Csaba Szepesvari

UAI 2013 Convex Relaxations of Bregman Divergence Clustering Hao Cheng, Xinhua Zhang, Dale Schuurmans

NeurIPS 2013 Convex Two-Layer Modeling Özlem Aslan, Hao Cheng, Xinhua Zhang, Dale Schuurmans