Wu, Peng

44 publications

ICCV 2025 A Conditional Probability Framework for Compositional Zero-Shot Learning Peng Wu, Qiuxia Lai, Hao Fang, Guo-Sen Xie, Yilong Yin, Xiankai Lu, Wenguan Wang

NeurIPS 2025 Adaptive Data-Borrowing for Improving Treatment Effect Estimation Using External Controls Qinwei Yang, Jingyi Li, Peng Wu

L4DC 2025 Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments Yuxi Wang, Peng Wu, Mahdi Imani

CVPRW 2025 Flow-Guided Deformable Alignment with Channel-Wise Self-Attention Reconstruct for Efficient Burst HDR Restoration Weiyu Zhou, Tao Hu, Yixu Feng, Duwei Dai, Yu Cao, Peng Wu, Wei Dong, Yanning Zhang, Qingsen Yan

CVPRW 2025 FusionNet: Multi-Model Linear Fusion Framework for Low-Light Image Enhancement Kangbiao Shi, Yixu Feng, Tao Hu, Yu Cao, Peng Wu, Yijin Liang, Yanning Zhang, Qingsen Yan

NeurIPS 2025 Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment Pengfei Zhao, Rongbo Luan, Wei Zhang, Peng Wu, Sifeng He

CVPR 2025 HVI: A New Color Space for Low-Light Image Enhancement Qingsen Yan, Yixu Feng, Cheng Zhang, Guansong Pang, Kangbiao Shi, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang

CVPR 2025 LOGICZSL: Exploring Logic-Induced Representation for Compositional Zero-Shot Learning Peng Wu, Xiankai Lu, Hao Hu, Yongqin Xian, Jianbing Shen, Wenguan Wang

NeurIPS 2025 Learning Counterfactual Outcomes Under Rank Preservation Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang

CVPRW 2025 NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Sangmin Lee, Eunpil Park, Angel Canelo, Hyunhee Park, Youngjo Kim, Hyung-Ju Chun, Xin Jin, Chongyi Li, Chun-Le Guo, Radu Timofte, Qi Wu, Tianheng Qiu, Yuchun Dong, Shenglin Ding, Guanghua Pan, Weiyu Zhou, Tao Hu, Yixu Feng, Duwei Dai, Yu Cao, Peng Wu, Wei Dong, Yanning Zhang, Qingsen Yan, Simon J. Larsen, Senyan Xu, Xingbo Wang, Ruixuan Jiang, Xin Lu, Marcos V. Conde, Javier Abad-Hernández, Álvaro García-Lara, Daniel Feijoo, Álvaro García, Zeyu Xiao, Zhuoyuan Li

CVPRW 2025 NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu, Hailong Yan, Bin Ren, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Kangbiao Shi, Yixu Feng, Tao Hu, Yu Cao, Peng Wu, Yijin Liang, Yanning Zhang, Qingsen Yan, Han Zhou, Wei Dong, Yan Min, Mohab Kishawy, Jun Chen, Pengpeng Yu, Anjin Park, Seung-Soo Lee, Young-Joon Park, Zixiao Hu, Junyv Liu, Huilin Zhang, Jun Zhang, Fei Wan, Bingxin Xu, Hongzhe Liu, Cheng Xu, Weiguo Pan, Songyin Dai, Xunpeng Yi, Qinglong Yan, Yibing Zhang, Jiayi Ma, Changhui Hu, Kerui Hu, Donghang Jing, Tiesheng Chen, Zhi Jin, Hongjun Wu, Biao Huang, Haitao Ling, Jiahao Wu, Dandan Zhan, G. Gyaneshwar Rao, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, Ramesh Ashok Tabib, Uma Mudenagudi, Ruirui Lin, Guoxi Huang, Nantheera Anantrasirichai, Qirui Yang, Alexandru Brateanu, Ciprian Orhei, Cosmin Ancuti, Daniel Feijoo, Juan C. Benito, Álvaro García, Marcos V. Conde, Yang Qin, Raul Balmez, Anas M. Ali, Bilel Benjdira, Wadii Boulila, Tianyi Mao, Huan Zheng, Yanyan Wei, Shengeng Tang, Dan Guo, Zhao Zhang, Sabari Nathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, Ao Li, Xiangtao Zhang, Zhe Liu, Yijie Tang, Jialong Tang, Zhicheng Fu, Gong Chen, Joe Nasti, John Nicholson, Zeyu Xiao, Zhuoyuan Li, Ashutosh Kulkarni, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Duan Liu, Weile Li, Hangyuan Lu, Rixian Liu, Tengfeng Wang, Jinxing Liang, Chenxin Yu

IJCAI 2025 Optimal Policy Adaptation Under Covariate Shift Xueqing Liu, Qinwei Yang, Zhaoqing Tian, Ruocheng Guo, Peng Wu

AAAI 2025 VarCMP: Adapting Cross-Modal Pre-Training Models for Video Anomaly Retrieval Peng Wu, Wanshun Su, Xiangteng He, Peng Wang, Yanning Zhang

ICLR 2024 Be Aware of the Neighborhood Effect: Modeling Selection Bias Under Interference Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He

CVPRW 2024 Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition Genggeng Chen, Kexin Dai, Kangzhen Yang, Tao Hu, Xiangyu Chen, Yongqing Yang, Wei Dong, Peng Wu, Yanning Zhang, Qingsen Yan

CVPRW 2024 CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task Kangzhen Yang, Tao Hu, Kexin Dai, Genggeng Chen, Yu Cao, Wei Dong, Peng Wu, Yanning Zhang, Qingsen Yan

ICLR 2024 Debiased Collaborative Filtering with Kernel-Based Causal Balancing Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui

CVPRW 2024 DiffLight: Integrating Content and Detail for Low-Light Image Enhancement Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Qingsen Yan, Yanning Zhang

NeurIPS 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards Qinwei Yang, Xueqing Liu, Yan Zeng, Ruocheng Guo, Yang Liu, Peng Wu

ICML 2024 Local Causal Structure Learning in the Presence of Latent Variables Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng

CVPRW 2024 NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets, Methods and Results Zhilu Zhang, Shuohao Zhang, Renlong Wu, Wangmeng Zuo, Radu Timofte, Xiaoxia Xing, Hyunhee Park, Sejun Song, Changho Kim, Xiangyu Kong, Jinlong Wu, Jianxing Zhang, Jingfan Tan, Zikun Liu, Wenhan Luo, Wenjie Lin, Chengzhi Jiang, Mingyan Han, Zhen Liu, Ting Jiang, Jinting Luo, Shen Cheng, Linze Li, Xinhan Niu, Shuaicheng Liu, Kexin Dai, Kangzhen Yang, Tao Hu, Xiangyu Chen, Yu Cao, Qingsen Yan, Yanning Zhang, Genggeng Chen, Yongqing Yang, Wei Dong, Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Peng Zhang, Yifei Chen, Wenbo Xiong, Zhijun Song, Pu Cheng, Taolue Feng, Yunqing He, Daiguo Zhou, Ying Huang, Xiaowen Ma, Peng Wu

CVPRW 2024 NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Álvaro García, Jaeho Lee, Seongwan Kim, Sma Sharif, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng

CVPR 2024 Open-Vocabulary Video Anomaly Detection Peng Wu, Xuerong Zhou, Guansong Pang, Yujia Sun, Jing Liu, Peng Wang, Yanning Zhang

ECCV 2024 Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors Tao Lin, Lijia Yu, Gaojie Jin, Renjue Li, Peng Wu, Lijun Zhang

ICML 2024 Policy Learning for Balancing Short-Term and Long-Term Rewards Peng Wu, Ziyu Shen, Feng Xie, Wang Zhongyao, Chunchen Liu, Yan Zeng

ICML 2024 Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou

CVPR 2024 Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection Zhiwei Yang, Jing Liu, Peng Wu

ECCV 2024 Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation Hao Fang, Peng Wu, Yawei Li, Xinxin Zhang, Xiankai Lu

AAAI 2024 VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection Peng Wu, Xuerong Zhou, Guansong Pang, Lingru Zhou, Qingsen Yan, Peng Wang, Yanning Zhang

AAAI 2023 Accurate Fairness: Improving Individual Fairness Without Trading Accuracy Xuran Li, Peng Wu, Jing Su

AAAI 2023 CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qin, Youlong Cheng, Yang You

NeurIPS 2023 Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu, Xiangnan He

AAAI 2023 Multiple Robust Learning for Recommendation Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu

ICML 2023 Propensity Matters: Measuring and Enhancing Balancing for Recommendation Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui

NeurIPS 2023 Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu

ICLR 2023 StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random Haoxuan Li, Chunyuan Zheng, Peng Wu

ICLR 2023 TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu

ICML 2023 Trustworthy Policy Learning Under the Counterfactual No-Harm Criterion Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu

CVPR 2023 Video Event Restoration Based on Keyframes for Video Anomaly Detection Zhiwei Yang, Jing Liu, Zhaoyang Wu, Peng Wu, Xiaotao Liu

ECCV 2022 Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu

IJCAI 2022 On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou

AAAI 2022 Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract) Songwei Shan, Qi Tan, Yiu Chung Lau, Zhanwei Du, Eric H. Y. Lau, Peng Wu, Benjamin J. Cowling

ECCV 2020 Not Only Look, but Also Listen: Learning Multimodal Violence Detection Under Weak Supervision Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu, Zhiwei Yang

AAAI 1988 Design for Testability Peng Wu