Peng, Xi

95 publications

ICML 2025 "Why Is There a Tumor?": Tell Me the Reason, Show Me the Evidence Mengmeng Ma, Tang Li, Yunxiang Peng, Lu Lin, Volkan Beylergil, Binsheng Zhao, Oguz Akin, Xi Peng
AAAI 2025 Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model's Prediction Rationality Qitong Wang, Tang Li, Kien X. Nguyen, Xi Peng
NeurIPS 2025 Conditional Representation Learning for Customized Tasks Honglin Liu, Chao Sun, Peng Hu, Yunfan Li, Xi Peng
AAAI 2025 Cross-View Graph Consistency Learning for Invariant Graph Representations Jie Chen, Hua Mao, Wai Lok Woo, Chuanbin Liu, Xi Peng
AAAI 2025 Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval Yuan Li, Liangli Zhen, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu
ICML 2025 Deep Fuzzy Multi-View Learning for Reliable Classification Siyuan Duan, Yuan Sun, Dezhong Peng, Guiduo Duan, Xi Peng, Peng Hu
ICML 2025 Deep Unsupervised Hashing via External Guidance Qihong Song, Xiting Liu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Peng Hu
CVPR 2025 Detecting Open World Objects via Partial Attribute Assignment Muli Yang, Gabriel James Goenawan, Huaiyuan Qin, Kai Han, Xi Peng, Yanhua Yang, Hongyuan Zhu
IJCAI 2025 Disentangling Multi-View Representations via Curriculum Learning with Learnable Prior Kai Guo, Jiedong Wang, Xi Peng, Peng Hu, Hao Wang
CVPR 2025 Human-Centered Interactive Learning via MLLMs for Text-to-Image Person Re-Identification Yang Qin, Chao Chen, Zhihang Fu, Dezhong Peng, Xi Peng, Peng Hu
AAAI 2025 Interpretable Failure Detection with Human-Level Concepts Kien X. Nguyen, Tang Li, Xi Peng
ICML 2025 LLaVA-ReID: Selective Multi-Image Questioner for Interactive Person Re-Identification Yiding Lu, Mouxing Yang, Dezhong Peng, Peng Hu, Yijie Lin, Xi Peng
IJCAI 2025 Learning Robust Multi-View Representation Using Dual-Masked VAEs Jiedong Wang, Kai Guo, Peng Hu, Xi Peng, Hao Wang
NeurIPS 2025 Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification Yongxiang Li, Yanglin Feng, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu
CVPR 2025 Learning with Noisy Triplet Correspondence for Composed Image Retrieval Shuxian Li, Changhao He, Xiting Liu, Joey Tianyi Zhou, Xi Peng, Peng Hu
CVPR 2025 MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration Boyun Li, Haiyu Zhao, Wenxin Wang, Peng Hu, Yuanbiao Gou, Xi Peng
NeurIPS 2025 Neighbor-Aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations Chao Su, Likang Peng, Yuan Sun, Dezhong Peng, Xi Peng, Xu Wang
IJCAI 2025 Probabilistic Multimodal Learning with Von Mises-Fisher Distributions Peng Hu, Yang Qin, Yuanbiao Gou, Yunfan Li, Mouxing Yang, Xi Peng
NeurIPS 2025 Robust Cross-Modal Alignment Learning for Cross-Scene Spatial Reasoning and Grounding Yanglin Feng, Hongyuan Zhu, Dezhong Peng, Xi Peng, Xiaomin Song, Peng Hu
ICML 2025 Structure-Informed Risk Minimization for Robust Ensemble Learning Fengchun Qiao, Yanlin Chen, Xi Peng
ICLR 2025 Test-Time Adaptation for Cross-Modal Retrieval with Query Shift Haobin Li, Peng Hu, Qianjun Zhang, Xi Peng, XitingLiu, Mouxing Yang
ICML 2025 Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval Guofeng Ding, Yiding Lu, Peng Hu, Mouxing Yang, Yijie Lin, Xi Peng
NeurIPS 2024 AverNet: All-in-One Video Restoration for Time-Varying Unknown Degradations Haiyu Zhao, Lei Tian, Xinyan Xiao, Peng Hu, Yuanbiao Gou, Xi Peng
NeurIPS 2024 Beyond Accuracy: Ensuring Correct Predictions with Correct Rationales Tang Li, Mengmeng Ma, Xi Peng
ICML 2024 Beyond the Federation: Topology-Aware Federated Learning for Generalization to Unseen Clients Mengmeng Ma, Tang Li, Xi Peng
ECCV 2024 DEAL: Disentangle and Localize Concept-Level Explanations for VLMs Tang Li, Mengmeng Ma, Xi Peng
AAAI 2024 Decoupled Contrastive Multi-View Clustering with High-Order Random Walks Yiding Lu, Yijie Lin, Mouxing Yang, Dezhong Peng, Peng Hu, Xi Peng
ICML 2024 Ensemble Pruning for Out-of-Distribution Generalization Fengchun Qiao, Xi Peng
ICML 2024 Image Clustering with External Guidance Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng
NeurIPS 2024 Interactive Deep Clustering via Value Mining Honglin Liu, Peng Hu, Changqing Zhang, Yunfan Li, Xi Peng
ICLR 2024 Multi-Granularity Correspondence Learning from Long-Term Noisy Videos Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng
CVPR 2024 Noisy-Correspondence Learning for Text-to-Image Person Re-Identification Yang Qin, Yingke Chen, Dezhong Peng, Xi Peng, Joey Tianyi Zhou, Peng Hu
NeurIPS 2024 Out-of-Distribution Detection with Diversification (Provably) Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang
AAAI 2024 PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong
NeurIPS 2024 Robust Contrastive Multi-View Clustering Against Dual Noisy Correspondence Ruiming Guo, Mouxing Yang, Yijie Lin, Xi Peng, Peng Hu
NeurIPS 2024 SeafloorAI: A Large-Scale Vision-Language Dataset for Seafloor Geological Survey Kien X. Nguyen, Fengchun Qiao, Arthur Trembanis, Xi Peng
ICLR 2024 Test-Time Adaptation Against Multi-Modal Reliability Bias Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng
ICML 2024 Test-Time Degradation Adaptation for Open-Set Image Restoration Yuanbiao Gou, Haiyu Zhao, Boyun Li, Xinyan Xiao, Xi Peng
CVPR 2023 Are Data-Driven Explanations Robust Against Out-of-Distribution Data? Tang Li, Fengchun Qiao, Mengmeng Ma, Xi Peng
CVPR 2023 Comprehensive and Delicate: An Efficient Transformer for Image Restoration Haiyu Zhao, Yuanbiao Gou, Boyun Li, Dezhong Peng, Jiancheng Lv, Xi Peng
NeurIPS 2023 Cross-Modal Active Complementary Learning with Self-Refining Correspondence Yang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng, Peng Hu
CVPR 2023 Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric Pengxin Zeng, Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Xi Peng
ICCV 2023 Deep Multiview Clustering by Contrasting Cluster Assignments Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng
ICCV 2023 Graph Matching with Bi-Level Noisy Correspondence Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng
IJCAI 2023 Incomplete Multi-View Clustering via Prototype-Based Imputation Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng
AAAI 2023 Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering Yao Jin, Guocheng Niu, Xinyan Xiao, Jian Zhang, Xi Peng, Jun Yu
ICCV 2023 Learning from Semantic Alignment Between Unpaired Multiviews for Egocentric Video Recognition Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng
ICML 2023 Provable Dynamic Fusion for Low-Quality Multimodal Data Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
CVPR 2023 RONO: Robust Discriminative Learning with Noisy Labels for 2D-3D Cross-Modal Retrieval Yanglin Feng, Hongyuan Zhu, Dezhong Peng, Xi Peng, Peng Hu
CVPR 2023 Rethinking Image Super Resolution from Long-Tailed Distribution Learning Perspective Yuanbiao Gou, Peng Hu, Jiancheng Lv, Hongyuan Zhu, Xi Peng
AAAI 2023 Robust Domain Adaptation for Machine Reading Comprehension Liang Jiang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng
ICLR 2023 Topology-Aware Robust Optimization for Out-of-Distribution Generalization Fengchun Qiao, Xi Peng
ICML 2023 dugMatting: Decomposed-Uncertainty-Guided Matting Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou
CVPR 2022 All-in-One Image Restoration for Unknown Corruption Boyun Li, Xiao Liu, Peng Hu, Zhongqin Wu, Jiancheng Lv, Xi Peng
CVPR 2022 Are Multimodal Transformers Robust to Missing Modality? Mengmeng Ma, Jian Ren, Long Zhao, Davide Testuggine, Xi Peng
NeurIPSW 2022 Graph-Relational Distributionally Robust Optimization Fengchun Qiao, Xi Peng
CVPR 2022 Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng
NeurIPS 2022 Multi-Scale Adaptive Network for Single Image Denoising Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng
WACV 2022 Self-Guidance: Improve Deep Neural Network Generalization via Knowledge Distillation Zhenzhu Zheng, Xi Peng
CVPR 2022 Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation Nathaniel Merrill, Yuliang Guo, Xingxing Zuo, Xinyu Huang, Stefan Leutenegger, Xi Peng, Liu Ren, Guoquan Huang
JMLR 2022 XAI Beyond Classification: Interpretable Neural Clustering Xi Peng, Yunfan Li, Ivor W. Tsang, Hongyuan Zhu, Jiancheng Lv, Joey Tianyi Zhou
ICLR 2021 A Good Image Generator Is What You Need for High-Resolution Video Synthesis Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris N. Metaxas, Sergey Tulyakov
CVPR 2021 COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction Yijie Lin, Yuanbiao Gou, Zitao Liu, Boyun Li, Jiancheng Lv, Xi Peng
AAAI 2021 Contrastive Clustering Yunfan Li, Peng Hu, Jerry Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng
CVPR 2021 Learning Cross-Modal Retrieval with Noisy Labels Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin
CVPR 2021 Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris Metaxas, Ting Liu
NeurIPS 2021 Learning with Noisy Correspondence for Cross-Modal Matching Zhenyu Huang, Guocheng Niu, Xiao Liu, Wenbiao Ding, Xinyan Xiao, Hua Wu, Xi Peng
AAAI 2021 OPQ: Compressing Deep Neural Networks with One-Shot Pruning-Quantization Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin
CVPR 2021 Partially View-Aligned Representation Learning with Noise-Robust Contrastive Loss Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng
AAAI 2021 SMIL: Multimodal Learning with Severely Missing Modality Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, Xi Peng
ICCVW 2021 Student-Teacher Oneness: A Storage-Efficient Approach That Improves Facial Expression Recognition Zhenzhu Zheng, Christopher Rasmussen, Xi Peng
CVPR 2021 Uncertainty-Guided Model Generalization to Unseen Domains Fengchun Qiao, Xi Peng
NeurIPS 2020 CLEARER: Multi-Scale Neural Architecture Search for Image Restoration Yuanbiao Gou, Boyun Li, Zitao Liu, Songfan Yang, Xi Peng
NeurIPS 2020 Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness Long Zhao, Ting Liu, Xi Peng, Dimitris Metaxas
NeurIPS 2020 Partially View-Aligned Clustering Zhenyu Huang, Peng Hu, Joey Tianyi Zhou, Jiancheng Lv, Xi Peng
AAAI 2020 Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin
ICML 2019 COMIC: Multi-View Clustering Without Parameter Selection Xi Peng, Zhenyu Huang, Jiancheng Lv, Hongyuan Zhu, Joey Tianyi Zhou
IJCAI 2019 Multi-View Spectral Clustering Network Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv
NeurIPS 2019 Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian, Long Zhao, Xi Peng, Dimitris Metaxas
NeurIPS 2019 Semantic-Guided Multi-Attention Localization for Zero-Shot Learning Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
AAAI 2019 Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chanderasekh, Liyuan Li, Joo-Hwee Lim
IJCAI 2018 CR-GAN: Learning Complete Representations for Multi-View Generation Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas
IJCAI 2018 DehazeGAN: When Image Dehazing Meets Differential Programming Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim
ECCV 2018 Learning to Forecast and Refine Residual Motion for Image-to-Video Generation Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris Metaxas
ECCV 2018 Quantized Densely Connected U-Nets for Efficient Landmark Localization Zhiqiang Tang, Xi Peng, Shijie Geng, Lingfei Wu, Shaoting Zhang, Dimitris Metaxas
AAAI 2018 SC2Net: Sparse LSTMs for Sparse Coding Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh
AAAI 2017 Cascade Subspace Clustering Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi
ICCV 2017 Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition Xi Peng, Xiang Yu, Kihyuk Sohn, Dimitris N. Metaxas, Manmohan Chandraker
ECCV 2016 A Recurrent Encoder-Decoder Network for Sequential Face Alignment Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas
IJCAI 2016 Deep Subspace Clustering with Sparsity Prior Xi Peng, Shijie Xiao, Jiashi Feng, Wei-Yun Yau, Zhang Yi
CVPRW 2016 Sequential Face Alignment via Person-Specific Modeling in the Wild Xi Peng, Junzhou Huang, Dimitris N. Metaxas
IJCAI 2015 Generalized Transitive Distance with Minimum Spanning Random Forest Zhiding Yu, Weiyang Liu, Wenbo Liu, Xi Peng, Zhuo Hui, B. V. K. Vijaya Kumar
ICCV 2015 PIEFA: Personalized Incremental and Ensemble Face Alignment Xi Peng, Shaoting Zhang, Yu Yang, Dimitris N. Metaxas
AAAI 2015 Robust Subspace Clustering via Thresholding Ridge Regression Xi Peng, Zhang Yi, Huajin Tang
CVPR 2013 Scalable Sparse Subspace Clustering Xi Peng, Lei Zhang, Zhang Yi