2026
2025
[1]Yang Qin, Yuan Sun, Xi Peng, Dezhong Peng, Joey Tianyi Zhou, Xiaomin Song, Peng Hu*, Robust Semi-paired Multimodal Learning for Cross-modal Retrieval, The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026)PDFCode
[2]Qizhi Li, Xuyang Wang, Yingke Chen, Ming Yan, Dezhong Peng, Xi Peng, Xu Wang, Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization, The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026)PDFCode
[3]Likang Peng, Chao Su, Wenyuan Wu, Yuan Sun, Dezhong Peng, Xi Peng, Xu Wang, Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval, The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026)PDFCode
[4]Jie Chen, Hua Mao, Chuanbin Liu, Zhu Wang, Xi Peng, Conditional Distribution Learning for Graph Classification, The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026)
[5]Yutong Yang, Lifu Huang, Yijie Lin, Xi Peng, Mouxing Yang*, Endowing Vision-Language Models with System 2 Thinking for Fine-grained Visual Recognition, The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026)PDFCodeBib
[6]Honglin Liu, Chao Sun, Peng Hu, Yunfan Li*, Xi Peng*, Conditional Representation Learning for Customized Tasks, Neural Information Processing Systems (NeurIPS 2025)(Spotlight, acc rate=3.2%)PDFCode
[7]Chao Su, Likang Peng, Yuan Sun, Dezhong Peng, Xi Peng, Xu Wang, Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations, Neural Information Processing Systems (NeurIPS 2025)
[8]Yongxiang Li, Yanglin Feng, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu*, Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification, Neural Information Processing Systems (NeurIPS 2025)
[9]Yanglin Feng, Hongyuan Zhu, Dezhong Peng, Xi Peng, Xiaomin Song, Peng Hu*, Robust Cross-modal Alignment Learning for Cross-Scene Spatial Reasoning and Grounding, Neural Information Processing Systems (NeurIPS 2025)PDFCode
[10]Yang Qin, Lifu Huang, Dezhong Peng, Bohan Jiang, Joey Tianyi Zhou, Xi Peng, Peng Hu*, Trustworthy Visual-Textual Retrieval, IEEE Transactions on Image Processing (TIP 2025)PDFCodeBib
[11]Boyun Li#, Yuanbiao Gou#, Wenxin Wang, Peng Hu, Wangmeng Zuo, Xi Peng*, Relationship Quantification of Image Degradations, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2025)PDFBib
[12]Jie Chen, Hua Mao, Yuanbiao Gou, Xi Peng*, Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams, Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams, IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2025)PDFCodeBib
[13]Yu Zhang, Tao Zhang, Hongyuan Zhu, Zihan Chen, Siya Mi, Xi Peng, Xin Geng, Object Adaptive Self-Supervised Dense Visual Pre-Training, IEEE Transactions on Image Processing (TIP 2025)PDFBib
[14]Siyuan Duan, Yuan Sun, Dezhong Peng, Guiduo Duan, Xi Peng, Peng Hu*, Deep Fuzzy Multi-view Learning for Reliable Classification, International Conference on Machine Learning (ICML 2025)PDFCode
[15]Qihong Song, Xiting Liu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Peng Hu*, Deep Unsupervised Hashing via External Guidance, International Conference on Machine Learning (ICML 2025)PDFCode
[16]Guofeng Ding, Yiding Lu, Peng Hu, Mouxing Yang, Yijie Lin*, Xi Peng*, Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval, International Conference on Machine Learning (ICML 2025)PDFCode
[17]Yiding Lu, Mouxing Yang, Dezhong Peng, Peng Hu, Yijie Lin*, Xi Peng*, LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification, International Conference on Machine Learning (ICML 2025)PDFCode
[18]Kai Guo, Jiedong Wang, Xi Peng, Peng Hu, Hao Wang*, Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior, International Joint Conference on Artificial Intelligence (IJCAI 2025)PDFCode
[19]Jiedong Wang, Kai Guo, Peng Hu, Xi Peng, Hao Wang*, Learning Robust Multi-view Representation Using Dual-masked VAEs, International Joint Conference on Artificial Intelligence (IJCAI 2025)PDFCode
[20]Peng Hu, Yang Qin, Yuanbiao Gou, Yunfan Li, Mouxing Yang, Xi Peng*, Probabilistic Multimodal Learning with von Mises-Fisher Distributions, International Joint Conference on Artificial Intelligence (IJCAI 2025)PDFCode
[21]Boyun Li, Haiyu Zhao, Wenxin Wang, Peng Hu, Yuanbiao Gou*, Xi Peng*, MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)PDFCodeBib
[22]Yang Qin, Chao Chen, Zhihang Fu, Dezhong Peng, Xi Peng, Peng Hu*, Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)PDFCodeBib
[23]Muli Yang, Gabriel James Goenawan, Huaiyuan Qin, Kai Han, Xi Peng, Yanhua Yang, Hongyuan Zhu, Detecting Open World Objects via Partial Attribute Assignment, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)PDFCodeBib
[24]Shuxian Li#, Changhao He#, Xiting Liu, Joey Tianyi Zhou, Xi Peng, Peng Hu*, Learning with Noisy Triplet Correspondence for Composed Image Retrieval, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)PDFCodeBib
[25]Jie Chen, Hua Mao, Wai Lok Woo, Chuanbin Liu, Zhu Wang, Xi Peng, One-Step Adaptive Graph Learning for Incomplete Multiview Subspace Clustering, IEEE Transactions on Knowledge and Data Engineering (TKDE 2025)PDFCodeBib
[26]Haobin Li, Peng Hu, Qianjun Zhang, Xi Peng, Xiting Liu, Mouxing Yang*, Test-time Adaptation for Cross-modal Retrieval with Query Shift, International Conference on Learning Representations (ICLR 2025)(Spotlight, acc rate=5.1%)PDFCodeBib
[27]Yanglin Feng, Yang Qin, Dezhong Peng, Hongyuan Zhu, Xi Peng, Peng Hu*, PointCloud-Text Matching: Benchmark Dataset and Baseline, IEEE Transactions on Multimedia (TMM 2025)PDF
2024
[1]Jie Chen, Hua Mao, Wai Lok Woo, Chuanbin Liu, Xi Peng, Cross-View Graph Consistency Learning for Invariant Graph Representations, Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025)PDFCodeBib
[2]Yuan Li, Liangli Zhen, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu*, Deep Evidential Hashing for Trustworthy Cross-modal Retrieval, Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025)PDFCodeBib
[3]Honglin Liu, Peng Hu, Changqing Zhang, Yunfan Li*, Xi Peng*, Interactive Deep Clustering via Value Mining, Neural Information Processing Systems (NeurIPS 2024)PDFCodeBib
[4]Haiyu Zhao, Lei Tian, Xinyan Xiao, Peng Hu, Yuanbiao Gou*, Xi Peng*, AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations, Neural Information Processing Systems (NeurIPS 2024)PDFCodeBib
[5]Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang, Out-Of-Distribution Detection with Diversification (Provably), Neural Information Processing Systems (NeurIPS 2024)PDFCodeBib
[6]Ruiming Guo#, Mouxing Yang#, Yijie Lin, Xi Peng, Peng Hu*, Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence, Neural Information Processing Systems (NeurIPS 2024)PDFCodeBib
[7]Zhenyu Huang#, Mouxing Yang#, Xinyan Xiao, Peng Hu, Xi Peng*, Noise-robust Vision-language Pre-training with Positive-negative Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2024)PDFCodeBib
[8]Longan Wang, Yang Qin, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu*, Robust Contrastive Cross-modal Hashing with Noisy Labels, ACM International Conference on Multimedia (ACM MM 2024)PDFCodeBib
[9]Changhao He, Hongyuan Zhu, Peng Hu*, Xi Peng, Robust Variational Contrastive Learning for Partially View-unaligned Clustering, ACM International Conference on Multimedia (ACM MM 2024)PDFCodeBib
[10]Jie Chen, Yingke Chen, Zhu Wang, Haixian Zhang*, Xi Peng*, Spectral Embedding Fusion for Incomplete Multiview Clustering, IEEE Transactions on Image Processing (TIP 2024)PDFCodeBib
[11]Yongxiang Li, Yang Qin, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu*, RoMo: Robust Unsupervised Multimodal Learning with Noisy Pseudo Labels, IEEE Transactions on Image Processing (TIP 2024)PDFCodeBib
[12]Yuan Sun, Yang Qin, Yongxiang Li, Dezhong Peng, Xi Peng, Peng Hu*, Robust Multi-View Clustering with Noisy Correspondence, IEEE Transactions on Knowledge and Data Engineering (TKDE 2024)PDFCodeBib
[13]Yiding Lu#, Haobin Li#, Yunfan Li, Yijie Lin, Xi Peng*, A survey on deep clustering: from the prior perspective, Springer VicinagearthPDFBib
[14]Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng*, Image Clustering with External Guidance, International Conference on Machine Learning (ICML 2024)(Oral, acc rate=1.5%)PDFCodeBib
[15]Yuanbiao Gou, Haiyu Zhao, Boyun Li, Xinyan Xiao, Xi Peng*, Test-Time Degradation Adaptation for Open-Set Image Restoration, International Conference on Machine Learning (ICML 2024)(Spotlight, acc rate=3.5%)PDFCodeBib
[16]Zhenyu Huang, Peng Hu, Guocheng Niu, Xinyan Xiao, Jiancheng Lv, Xi Peng*, Learning with Noisy Correspondence, International Journal of Computer Vision (IJCV 2024)PDFBib
[17]Xinran Ma#, Mouxing Yang#, Yunfan Li, Peng Hu, Jiancheng Lv, Xi Peng*, Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining, IEEE Transactions on Image Processing (TIP 2024)PDFCodeBib
[18]Yang Qin, Yingke Chen, Dezhong Peng, Xi Peng, Joey Tianyi Zhou, Peng Hu*, Noisy-Correspondence Learning for Text-to-Image Person Re-identification, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)PDFCodeBib
[19]Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng*, Multi-granularity Correspondence Learning from Long-term Noisy Videos, International Conference on Learning Representations (ICLR 2024)(Oral, acc rate=1.2%)PDFCodeBib
[20]Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng*, Test-time Adaption against Multi-modal Reliability Bias, International Conference on Learning Representations (ICLR 2024)PDFCodeBib
[21]Mouxing Yang, Zhenyu Huang, Xi Peng*, Robust Object Re-identification with Coupled Noisy Labels, International Journal of Computer Vision (IJCV 2024)PDFCodeBib
2023
[1]Yiding Lu, Yijie Lin, Mouxing Yang, Dezhong Peng, Peng Hu, Xi Peng*, Decoupled Contrastive Multi-view Clustering with High-order Random Walks, Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024)PDFCodeBib
[2]Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong, PrefAce: Face-centric Pretraining with Self-structure Aware Distillation, Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024)PDFCodeBib
[3]Peng Hu, Liangli Zhen, Xi Peng, Hongyuan Zhu, Jie Lin, Xu Wang, Dezhong Peng, Deep Supervised Multi-View Learning with Graph Priors, IEEE Transactions on Image Processing (TIP 2023)PDFCodeBib
[4]Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng*, Semantic Invariant Multi-View Clustering With Fully Incomplete Information, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2023)PDFCodeBib
[5]Yang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng, Peng Hu*, Cross-modal Active Complementary Learning with Self-refining Correspondence, Neural Information Processing Systems (NeurIPS 2023)PDFCodeBib
[6]Yunfan Li#, Dan Zhang#, Mouxing Yang, Dezhong Peng, Jun Yu, Yu Liu, Jiancheng Lv, Lu Chen, Xi Peng*, scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration, Nature Communications (NCOMMS 2023)PDFCodeBib
[7]Jie Chen, Hua Mao, Dezhong Peng, Changqing Zhang, Xi Peng, Multiview Clustering by Consensus Spectral Rotation Fusion, IEEE Transactions on Image Processing (TIP 2023)PDFCodeBib
[8]Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang*, Xi Peng*, Graph Matching with Bi-level Noisy Correspondence, International Conference on Computer Vision (ICCV 2023)PDFCodeBib
[9]Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng*, Deep Multiview Clustering by Contrasting Cluster Assignments, International Conference on Computer Vision (ICCV 2023)PDFCodeBib
[10]Yanglin Feng, Hongyuan Zhu, Dezhong Peng, Xi Peng, Peng Hu*, ROAD: Robust Unsupervised Domain Adaptation with Noisy Labels, ACM International Conference on Multimedia (ACM MM 2023)PDFCodeBib
[11]Bofeng Wu, Buyu Liu, Peng Huang, Jun Bao, Xi Peng, Jun Yu, Concept Parser with Multi-modal Graph Learning for Video Captioning, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2023)PDFBib
[12]Haobin Li#, Yunfan Li#, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng*, Incomplete Multi-view Clustering via Prototype-based Imputation, International Joint Conference on Artificial Intelligence (IJCAI 2023)PDFCodeBib
[13]Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng, Provable Dynamic Fusion for Low-Quality Multimodal Data, International Conference on Machine Learning (ICML 2023)PDFCodeBib
[14]Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, dugMatting: Decomposed-Uncertainty-Guided Matting, International Conference on Machine Learning (ICML 2023)PDFCodeBib
[15]Yunfan Li, Yijie Lin, Peng Hu, Zitao Liu, Dezhong Peng, Han Luo, Xi Peng*, Single-cell RNA-seq Debiased Clustering via Batch Effect Disentanglement, IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2023)PDFCodeBib
[16]Pengxin Zeng, Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Xi Peng*, Deep Fair Clustering via Maximizing and Minimizing Mutual Information, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)PDFCodeBib
[17]Yanglin Feng, Hongyuan Zhu, Dezhong Peng, Xi Peng, Peng Hu*, RONO: Robust Discriminative Learning with Noisy Labels for 2D-3D Cross-Modal Retrieval, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)PDFCodeBib
[18]Yuanbiao Gou, Peng Hu, Jiancheng Lv, Hongyuan Zhu, Xi Peng*, Rethinking Image Super Resolution from Long-Tailed Distribution Learning Perspective, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)PDFCodeBib
[19]Haiyu Zhao, Yuanbiao Gou, Boyun Li, Dezhong Peng, Jiancheng Lv, Xi Peng*, Comprehensive and Delicate: An Efficient Transformer for Image Restoration, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)PDFCodeBib
2022
[1]Jie Chen, Shengxiang Yang, Xi Peng, Dezhong Peng, Zhu Wang, Augmented Sparse Representation for Incomplete Multiview Clustering, IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2022)PDFCodeBib
[2]Jie Chen, Zhu Wang, Hua Mao, Xi Peng, Low-Rank Tensor Learning for Incomplete Multiview Clustering, IEEE Transactions on Knowledge and Data Engineering (TKDE 2022)PDFCodeBib
[3]Liang Jiang#, Zhenyu Huang#, Jia Liu, Zujie Wen, Xi Peng*, Robust Domain Adaptation for Machine Reading Comprehension, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)PDFBib
[4]Yao Jin, Guocheng Niu, Xinyan Xiao, Jian Zhang, Xi Peng, Jun Yu, Knowledge-constrained Answer Generation for Open-ended Video Question Answering, Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)PDFBib
[5]Junhong Liu#, Yijie Lin#, Liang Jiang, Jia Liu, Zujie Wen, Xi Peng*, Improve Interpretability of Neural Networks via Sparse Contrastive Coding, Findings of the Association for Computational Linguistics: EMNLP 2022 (EMNLP 2022)PDFBib
[6]Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng*, Multi-Scale Adaptive Network for Single Image Denoising, Neural Information Processing Systems (NeurIPS 2022)PDFCodeBib
[7]Yang Qin, Dezhong Peng, Xi Peng, Xu Wang, Peng Hu*, Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval, ACM Multimedia (ACMMM 2022)PDFCodeBib
[8]Yijie Lin, Yuanbiao Gou, Xiaotian Liu, Jinfeng Bai, Jiancheng Lv, Xi Peng*, Dual Contrastive Prediction for Incomplete Multi-View Representation Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2022)PDFCodeBib
[9]Yunfan Li, Mouxing Yang, Dezhong Peng, Taihao Li, Jiantao Huang, Xi Peng*, Twin Contrastive Learning for Online Clustering, International Journal of Computer Vision (IJCV 2022)PDFCodeBib
[10]Peng Hu, Hongyuan Zhu, Jie Lin, Dezhong Peng, Yinping Zhao, Xi Peng*, Unsupervised Contrastive Cross-modal Hashing, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2022)PDFCodeBib
[11]Boyun Li, Yijie Lin, Jinfeng Bai, Peng Hu, Jiancheng Lv, Xi Peng*, Unsupervised Neural Rendering for Image Hazing, IEEE Transactions on Image Processing (TIP 2022)PDFCodeBib
[12]Pei-Heng Li, Xiangyu Kong, Yazhou He, Yi Liu, Xi Peng, Zhihui Li, Heng Xu, Han Luo, Jihwan Park, Recent developments in application of single-cell RNA sequencing in the tumour immune microenvironment and cancer therapy, Military Medical ResearchPDFBib
[13]Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng*, Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022)PDFCodeBib
2021
[1]Xi Peng, Yunfan Li, Ivor W. Tsang, Hongyuan Zhu, Jiancheng Lv, Joey Tianyi Zhou, XAI Beyond Classification: Interpretable Neural Clustering, Journal of Machine Learning Research (JMLR 2021)PDFCodeBib
[2]Zhenyu Huang, Guocheng Niu, Xiao Liu, Wenbiao Ding, Xinyan Xiao, Hua Wu, Xi Peng*, Learning with Noisy Correspondence for Cross-modal Matching, Neural Information Processing Systems (NeurIPS 2021)(Oral, acc rate=0.61%)PDFCodeBib
[3]Ming Yan, Cen Chen, Jiawei Du, Xi Peng, Joey Tianyi Zhou, Zeng Zeng, Memory-assistant Collaborative Language Understanding for Artificial Intelligence of Things, IEEE Transactions on Industrial Informatics (TII 2021)PDFBib
[4]Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, Qinghua Hu, Cross-View Equivariant Auto-Encoder, IEEE International Conference on Multimedia and Expo (ICME 2021)(Best Paper Award)PDFBib
[5]Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dezhong Peng, Deep Semisupervised Multi-View Learning with Increasing Views, IEEE Transactions on Cybernetics (TCYB 2021)PDFCode
[6]Zhenyu Huang, Joey Tianyi Zhou, Hongyuan Zhu, Changqing Zhang, Jiancheng Lv, Xi Peng*, Deep Spectral Representation Learning from Multi-view Data, IEEE Transactions on Image Processing (TIP 2021)PDFCodeBib
[7]Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng*, Partially View-aligned Representation Learning with Noise-robust Contrastive Loss, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)PDFCodeBib
[8]Yijie Lin, Yuanbiao Gou, Zitao Liu, Boyun Li, Jiancheng Lv, Xi Peng*, COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)PDFCodeBib
[9]Peng Hu, Xi Peng*, Hongyuan Zhu, Liangli Zhen, Jie Lin, Learning Cross-Modal Retrieval with Noisy Labels, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)PDFCodeBib
[10]Joey Tianyi Zhou, Le Zhang, Zhiwen Fang, Jiawei Du, Xi Peng, Xiao Yang, Locality-Aware Crowd Counting, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2021)PDFBib
[11]Boyun Li#, Yuanbiao Gou#, Shuhang Gu, Jerry Zitao Liu, Joey Tianyi Zhou, Xi Peng*, You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network, International Journal of Computer Vision (IJCV 2021)PDFCodeBib
2020
[1]Zhenyu Huang, Joey Tianyi Zhou, Hongyuan Zhu, Changqing Zhang, Jiancheng Lv, Xi Peng*, Partially View-aligned Clustering, Neural Information Processing Systems (NeurIPS 2020)(Oral)PDFCodeBib
[2]Yuanbiao Gou, Boyun Li, Zitao Liu, Songfan Yang, Xi Peng*, CLEARER: Multi-Scale Neural Architecture Search for Image Restoration, Neural Information Processing Systems (NeurIPS 2020)PDFCodeBib
[3]Boyun Li, Yuanbiao Gou, Jerry Zitao Liu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng*, Zero-Shot Image Dehazing, IEEE Transactions on Image Processing (TIP 2020)PDFCodeBib
[4]Xi Peng, Jiashi Feng, Joey Tianyi Zhou, Yingjie Lei, Shuicheng Yan, Deep Subspace Clustering, IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2020)PDFCodeBib
[5]Xi Peng, Hongyuan Zhu, Jiashi Feng, Chunhua Shen, Haixian Zhang, Joey Tianyi Zhou, Deep Clustering with Sample-Assignment Invariance Prior, IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2020)PDFCodeBib
[6]Joey Tianyi Zhou, Le Zhang, Di Jin, Xi Peng, Yang Xiao, Zhiguo Cao, Attention-Driven Loss for Anomaly Detection in Video Surveillance, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2020)PDFCodeBib
[7]Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin, Semi-supervised Multi-modal Learning with Balanced Spectral Decomposition, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)(Oral)PDFCodeBib
[8]Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Wenyu Chen, Zenglin Xu, Partition Level Multiview Subspace Clustering, Neural NetworksPDFCodeBib
[9]Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou, Deep Multimodal Transfer Learning for Cross-modal Retrieval, IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2020)PDFCodeBib
[10]Bijue Jia, Jiancheng Lv, Xi Peng, Yao Chen, Yangsheng Lan, Hierarchical Regulated Iterative Network for Joint Task of Music Detection and Music Relative Loudness Estimation, IEEE Transactions on Audio, Speech and Language ProcessingPDFCodeBib
2019
[1]Xi Peng, Zhenyu Huang, Jiancheng Lv, Hongyuan Zhu, Joey Tianyi Zhou, COMIC: Multi-view Clustering Without Parameter Selection, International Conference on Machine Learning (ICML 2019)(20min Long oral)PDFCodeBib
[2]Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu, Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering, International Conference on Computer Vision (ICCV 2019)PDFCodeBib
[3]Zhenyu Huang, Joey Tianyi Zhou, Xi Peng*, Changqing Zhang, Hongyuan Zhu*, Jiancheng Lv, Multi-view Spectral Clustering Network, International Joint Conference on Artificial Intelligence (IJCAI 2019)(Oral)PDFCodeBib
[4]Canyi Lu, Xi Peng, Yunchao Wei, Low-rank Tensor Completion with a New Tensor Nuclear Norm Induced by Invertible Linear Transforms, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019)PDFCodeBib
[5]Hongyuan Zhu, Yi Cheng, Xi Peng, Joey Tianyi Zhou, Zhao Kang, Shijian Lu, Zhiwen Fang, Liyuan Li, Joo-Hwee Lim, Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019)PDFCodeBib
[6]Xi Peng*, Jiawei Du, Joey Tianyi Zhou, A1Cnet: Deep Learning for Glycated Hemoglobin Estimation, IJCAI Workshop on Biomedical Engineering and Omics (IJCAI BOOM 2019)(Best Paper Award)PDFCodeBib
[7]Weixin Luo#, Wen Liu#, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, Shenghua Gao, Video Anomaly Detection With Sparse Coding Inspired Deep Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2019)PDFCodeBib
[8]Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng*, Dual Adversarial Transfer for Sequence Labeling, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2019)PDFCodeBib
[9]Tao Zhou, Changqing Zhang, Xi Peng, Harish Bhaskar, Jie Yang, Dual Shared-Specific Multi-view Subspace Clustering, IEEE Transactions on Cybernetics (TCYB 2019)PDFCodeBib
[10]Joey Tianyi Zhou, Meng Fang, Hao Zhang, Chen Gong, Xi Peng*, Zhiguo Cao, Rick Siow Mong Goh, Learning with Annotation of Various Degrees, IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2019)PDFCodeBib
[11]Joey Tianyi Zhou, Jiawei Du, Hongyuan Zhu*, Xi Peng*, Yong Liu, Rick Siow Mong Goh, AnomalyNet: An Anomaly Detection Network for Video Surveillance, IEEE Transactions on Information Forensics and Security (TIFS 2019)PDFCodeBib
[12]Zhenyu Huang, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng*, Multiple Marginal Fisher Analysis, IEEE Transactions on Industrial Electronics (TIE 2019)PDFCodeBib
2018
[1]Hongyuan Zhu, Xi Peng*, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim, DehazeGAN: When Image Dehazing Meets Differential Programming, International Joint Conference on Artificial Intelligence (IJCAI 2018)(Oral)PDFCodeBib
[2]Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng*, et al., SC2Net: Sparse LSTMs for Sparse Coding, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018)(Oral)PDFCodeBib
[3]Xi Peng, Jiashi Feng, Shijie Xiao, Wei-Yun Yau, Joey Tianyi Zhou, Songfan Yang, Structured AutoEncoders for Subspace Clustering, IEEE Transactions on Image Processing (TIP 2018)PDFCodeBib
[4]Joey Tianyi Zhou, Heng Zhao, Xi Peng*, Meng Fang, Zheng Qin, Rick Siow-Mong Goh, Transfer Hashing: From Shallow To Deep, IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2018)PDFCodeBib
[5]Hongyuan Zhu*, Romain Vial*, Shijian Lu, Xi Peng*, Huazhu Fu, Yonghong Tian, Xianbin Cao, YoTube: Searching Action Proposal via Recurrent and Static Regression Networks, IEEE Transactions on Image Processing (TIP 2018)PDFCodeBib
2017
[1]Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi, Cascade Subspace Clustering, Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017)PDFCodeBib
[2]Xi Peng, Jiwen Lu, Zhang Yi, Yan Rui, Automatic Subspace Learning via Principal Coefficients Embedding, IEEE Transactions on Cybernetics (TCYB 2017)PDFCodeBib
2016
[1]Xi Peng, Shijie Xiao, Jiashi Feng, Wei-Yun Yau, Zhang Yi, Deep Subspace Clustering with Sparsity Prior, International Joint Conference on Artificial Intelligence (IJCAI 2016)(Oral)PDFCodeBib
2015
[1]Xi Peng, Zhang Yi, Huajin Tang, Robust Subspace Clustering via Thresholding Ridge Regression, Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015)PDFCodeBib
2014
* Corresponding author; # Equal contribution; Underline: Group Member