2024
  1. Zhenyu Huang, Peng Hu, Guocheng Niu, Xinyan Xiao, Jiancheng Lv, Xi Peng*, Learning with Noisy Correspondence, International Journal of Computer Vision (IJCV), 2024.
    [PDF] [Code] [Bib]
  2. Xinran Ma#, Mouxing Yang#, Yunfan Li, Peng Hu, Jiancheng Lv, Xi Peng*, Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining, IEEE Trans Image Processing (TIP), 2024, vol. 33, pp. 2587 - 2598, DOI: 10.1109/TIP.2024.3374221.
    [PDF] [Code] [Bib]
  3. 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), Jun.17-21, Seattle WA, 2024.
    [PDF] [Code] [Bib]
  4. Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng*, Multi-granularity Correspondence Learning from Long-term Noisy Videos, 12th International Conference on Learning Representations (ICLR 2024), May.7-11, Vienna, Austria, 2024. (Oral, acc rate=1.2%)
    [PDF] [Code] [Bib] [中文概要]
  5. Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng*, Test-time Adaption against Multi-modal Reliability Bias, 12th International Conference on Learning Representations (ICLR 2024), May 7-11, Vienna, Austria, 2024.
    [PDF] [Code] [Bib] [中文概要]
  6. Mouxing Yang, Zhenyu Huang, Xi Peng*, Robust Object Re-identification with Coupled Noisy Labels, International Journal of Computer Vision (IJCV), 2024.
    [PDF] [Code] [Bib] [中文概要]
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), Feb. 20-27, Vancouver, Canada, 2024.
    [PDF] [Code] [Bib]
  2. Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Yew Soon Ong, Hongyuan Zhu, PrefAce: Face-centric Pretraining with Self-structure Aware Distillation, Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Feb. 20-27, Vancouver, Canada, 2024.
    [PDF] [Code] [Bib]
  3. Peng Hu, Liangli Zhen, Xi Peng, Hongyuan Zhu, Jie Lin, Xu Wang, Dezhong Peng, Deep Supervised Multi-View Learning with Graph Priors, IEEE Trans Image Processing (TIP), 2024, Vol. 33, pp. 123-133, DOI: 10.1109/TIP.2023.3335825.
    [PDF] [Code] [Bib]
  4. Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, and Xi Peng*, Semantic Invariant Multi-View Clustering With Fully Incomplete Information, IEEE Trans Pattern Analysis and Machine Intelligence (TPAMI)
    [PDF] [Code] [Bib]
  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), 2023.
    [PDF] [Code] [Bib]
  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), DOI: 10.1038/s41467-023-41795-5.
    [PDF] [Code] [Bib][中文概要]
  7. Jie Chen, Hua Mao, Dezhong Peng, Changqing Zhang, Xi Peng, Multiview Clustering by Consensus Spectral Rotation Fusion, IEEE Trans Image Processing (TIP), 2023, Vol. 32, pp. 5153-5166, DOI: 10.1109/TIP.2023.3310339.
    [PDF] [Code] [Bib]
  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), Paris, France. Oct. 4-6, 2023.
    [PDF] [Code] [Bib][中文概要]
  9. Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng*, Deep Multiview Clustering by Contrasting Cluster Assignments, International Conference on Computer Vision (ICCV), Paris, France. Oct. 4-6, 2023.
    [PDF] [Code] [Bib]
  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), Ottawa, Canada. Oct. 29 – Nov. 3, 2023.
    [PDF] [Code] [Bib]
  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), Vol. 33, Iss. 9, pp. 4484-4495, Sep. 2023, DOI: 10.1109/TCSVT.2023.3277827.
    [PDF] [Code] [Bib]
  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), Macao, ChinaAug. 19-25, 2023.
    [PDF] [Code] [Bib]
  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), Honolulu, Hawaii. Jul. 23-29, 2023.
    [PDF] [Code] [Bib]
  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), Honolulu, Hawaii. Jul. 23-29, 2023. 
    [PDF] [Code] [Bib]
  15. Yunfan Li, Yijie Lin, Peng Hu, Dezhong Peng, Han Luo, Xi Peng*, Single-cell RNA-seq Debiased Clustering via Batch Effect Disentanglement, IEEE Trans Neural Networks and Learning Systems (TNNLS), Mar. 2023. DOI: 10.1109/TNNLS.2023.3260003.
    [PDF] [Code] [Bib] [中文概要]
  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), Vancouver, Canada. Jun. 18-22, 2023.
    [PDF] [Code] [Bib] [中文概要]
  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), Vancouver, Canada. Jun. 18-22, 2023.
    [PDF] [Code] [Bib]
  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), Vancouver, Canada. Jun. 18-22, 2023.
    [PDF] [Code] [Bib] [中文概要]
  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), Vancouver, Canada. Jun. 18-22, 2023.
    [PDF] [Code] [Bib] [中文概要]
  20. Peng Hu, Zhenyu Huang, Dezhong Peng, Xu Wang, Xi Peng*, Cross-Modal Retrieval with Partially Mismatched Pairs, IEEE Trans Pattern Analysis and Machine Intelligence (TPAMI), DOI: 10.1109/TPAMI.2023.3247939.
    [PDF] [Code] [Bib] [中文概要]
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), DOI: 10.1109/TNNLS.2022.3201699.
    [PDF][Code][Bib]
  2. Jie Chen, Hua Mao, Zhu Wang, Xi Peng, Low-Rank Tensor Learning for Incomplete Multiview Clustering, IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI: 10.1109/TKDE.2022.3230964.
    [PDF][Code][Bib]
  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), Feb. 7-14, Washington DC, 2023.
    [PDF][Code][Bib]
  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), Feb. 7-14, Washington DC, 2023.
    [PDF][Code][Bib]
  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, Abu Dhabi, Dec. 7-11, 2022.
    [PDF][Code][Bib]
  6. Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng*, Multi-Scale Adaptive Network for Single Image Denoising, the Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), Hybrid, Nov. 28-Dec.9, 2022.
    [PDF][Code][Bib][中文概要]
  7. Yang Qin, Dezhong Peng, Xi Peng, Xu Wang, Peng Hu, Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval, ACM Multimedia (ACMMM), Lisbon, Portugal, Oct. 10-14, 2022.
    [PDF][Code][Bib][中文概要]
  8. Yijie Lin, Yuanbiao Gou, Xiaotian Liu, Jinfeng Bai, Jiancheng Lv, Xi Peng*, Dual Contrastive Prediction for Incomplete Multi-View Representation Learning, IEEE Trans Pattern Analysis and Machine Intelligence (TPAMI), DOI: 10.1109/TPAMI.2022.3197238.
    [PDF][Code][Bib][中文概要]
  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), Jun. 2022, DOI: 10.1007/s11263-022-01639-z.
    [PDF][Code][Bib][中文概要]
  10. Peng Hu, Hongyuan Zhu, Jie Lin, Dezhong Peng, Yinping Zhao, and Xi Peng*, Unsupervised Contrastive Cross-modal Hashing, IEEE Trans Pattern Analysis and Machine Intelligence (TPAMI), DOI: 10.1109/TPAMI.2022.3177356.
    [PDF][Code][Bib]
  11. Boyun Li, Yijie Lin, Jinfeng Bai, Peng Hu, Jiancheng Lv, and Xi Peng*, Unsupervised Neural Rendering for Image Hazing, IEEE Trans Image Processing (TIP), vol:31, pp: 3987-3996. DOI: 10.1109/TIP.2022.3177321.
    [PDF][Code][Bib]
  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 Research, Accepted, vol:9, iss:1, DOI: 10.1186/s40779-022-00414-y
    [PDF][Code][Bib]
  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), New Orleans, LA. Jun. 19-25, 2022.
    [PDF][Code][Bib][中文概要]
  14. Boyun Li, Xiao Liu, Peng Hu, Zhongqin Wu, Jiancheng Lv, Xi Peng*, All-In-One Image Restoration for Unknown Corruption, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA. Jun. 19-25, 2022.
    [PDF][Code][Bib][中文概要]
  15. Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, Jiancheng Lv, Xi Peng*, Robust Multi-view Clustering with Incomplete Information, IEEE Trans Pattern Analysis and Machine Intelligence (TPAMI), Feb. 2022. DOI: 10.1109/TPAMI.2022.3155499.
    [PDF][Code][Bib][中文概要]
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). 23(6):1−28, 2022.
    [PDF][Code][Bib][中文概要]
  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’21), Dec 6-12, 2021, Online.  (Oral, acc rate=0.61%)
    [PDF][Code][Bib][中文概要]
  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), July, 2021.
    [PDF][Code][Bib]
  4. Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, and Qinghua Hu, Cross-View Equivariant Auto-Encoder, IEEE International Conference on Multimedia and Expo (ICME2021), July 5-9, 2021, Virtual, Best Paper Award.
    [PDF][Code][Bib]
  5. Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dezhong Peng, Deep Semi-Supervised Multi-View Learning with Increasing Views, IEEE Transactions on Cybernetics (TCYB), June, 2021.
    [PDF][Code][Bib]
  6. Zhenyu Huang, Joey Tianyi Zhou, Hongyuan Zhu, Changqing Zhang, Jiancheng Lv, Xi Peng*, Deep Spectral Representation Learning from Multi-view Data, IEEE Trans Image Processing (TIP), vol: 30, pp: 5352-5362, June, 2021.
    [PDF][Code][Bib]
  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), Jun. 19-25, 2021. Online.
    [PDF][Code][Bib][中文概要]
  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), Jun. 19-25, 2021. Online.
    [PDF][Code][Bib][中文概要]
  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), Jun. 19-25, 2021. Online.
    [PDF][Code][Bib][中文概要]
  10. Joey Tianyi Zhou, Le Zhang, Du Jiawei, Xi Peng, Zhiwen Fang, Zhe Xiao, Hongyuan Zhu, Locality-Aware Crowd Counting, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Jan. 2021.
    [PDF][Code][Bib]
  11. Boyun Li#, Yuanbiao Gou#, Shuhang Gu, Jerry Zitao Liu, Joey Tianyi Zhou, and Xi Peng*, You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network, International Journal of Computer Vision (IJCV), 2021.
    [PDF][Code][Bib]
  12. Yunfan Li, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, and Xi Peng*, Contrastive Clustering, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI’21), Feb. 2-9, 2021, Online.
    [PDF][Code][Bib][中文概要]
  13. Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin, OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI’21), Feb. 2-9, 2021, Online.
    [PDF][Code][Bib][中文概要]

2020

  1. Zhenyu Huang, Peng Hu, Joey Tianyi Zhou, Jiancheng Lv, and Xi Peng*, Partially View-aligned Clustering, Neural Information Processing Systems (NeurIPS), 2020. (Oral)
    [PDF][Code][Bib][中文概要]
  2. Yuanbiao Gou, Boyun Li, Zitao Liu, Songfan Yang, and Xi Peng*, CLEARER: Multi-Scale Neural Architecture Search for Image Restoration, Neural Information Processing Systems (NeurIPS), 2020.
    [PDF][Code][Bib][中文概要]
  3. Boyun Li, Yuanbiao Gou, Jerry Zitao Liu, Hongyuan Zhu, Joey Tianyi Zhou, and Xi Peng*, Zero-Shot Image Dehazing, IEEE Trans Image Processing (TIP), pp: 8457-8466, vol:29, August, 2020.
    [PDF][Code][Bib]
  4. Xi Peng, Jiashi Feng, Joey Tianyi Zhou, Yingjie Lei, Shuicheng Yan, Deep Subspace Clustering, IEEE Trans Neural Networks and Learning Systems (TNNLS), Jan. 2020. DOI:10.1109/TNNLS.2020.2968848.
    [PDF][Code][Bib]
  5. Xi Peng, Hongyuan Zhu, Jiashi Feng, Chunhua Shen, Haixian Zhang, and Joey Tianyi Zhou, Deep Clustering with Sample-Assignment Invariance Prior, IEEE Trans Neural Networks and Learning Systems (TNNLS), vol. 31, no. 11, pp. 4857-4868, Nov. 2020, DOI: 10.1109/TNNLS.2019.2958324.
     [PDF][Code][Bib]
  6. Joey Tianyi Zhou, Le Zhang, Zhiwen Fang, Jiawei Du, Xi Peng, Xiao Yang, Attention-Driven Loss for Anomaly Detection in Video Surveillance, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020. 
    [PDF][Code][Bib]
  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, Feb 7-12, 2020, New York, NY. (Oral). 
    [PDF][Code][Bib][中文概要]
  8. Zhao Kang; Xinjia Zhao; Chong Peng; Hongyuan Zhu; Joey Tianyi Zhou; Xi Peng; Wenyu Chen; Zenglin Xu, "Partition Level Multiview Subspace Clustering", Neural Networks, Volume 122, February 2020, Pages 279-288. 
    [PDF][Code][Bib]
  9. Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou, Deep Multimodal Transfer Learning for Cross-modal Retrieval, IEEE Trans Neural Networks and Learning Systems (TNNLS), Oct. 2020.
    [PDF][Code][Bib]
  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 Processing, 2020.
    [PDF][Code][Bib]
  11. Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian, Structured Graph Learning for Clustering and Semi-supervised Classification, Pattern Recognition, 2020.
    [PDF][Code][Bib]
  12. Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng, Yang Xiao, Zhiguo Cao, RoSeq: Robust Sequence Labeling, IEEE Trans Neural Networks and Learning Systems (TNNLS), 10.1109/TNNLS.2019.2911236, 2019. 
    [PDF] [Code] [Bib]

2019

  1. Xi Peng, Zhenyu Huang, Jianchen Lv, Hongyuan Zhu, and Joey Tianyi Zhou, COMIC: Multi-view Clustering Without Parameter Selection, International Conference on Machine Learning (ICML’19), pp: 5092-5101, Long Beach, CA, Jun. 9--15, 2019. (20min Long oral)
    [PDF][Code] [Bib]
  2. Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tiany Zhou, Qinghua Hu, Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering, the 17th International Conference in Computer Vision (ICCV’19), Oct 27 – Nov 3, Seoul, Korea. 
    [PDF] [Code] [Bib]
  3. Zhenyu Huang, Joey Tianyi Zhou, Xi Peng*, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv, Multi-view Spectral Clustering Network, the 28th International Joint Conference on Artificial Intelligence (IJCAI’19), Macao, China, Aug 10-16, 2019. (Oral) 
    [PDF] [Code] [Bib]
  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’19), Long Beach, CA, Jun. 16--20, 2019. 
    [PDF] [Code] [Bib]
  5. Hongyuan Zhu, Xi Peng, Joey Tianyi Zhou, Songfan Yang, Vijay Chandrasekhar, Liyuan Li, and Joo-Hwee Lim, Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective, the 33th AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, 27 Jan.-1 Feb., 2019. 
    [PDF] [Code] [Bib]
  6. Xi Peng, Jiawei Du, Joey Tianyi Zhou*, "A1Cnet: Deep Learning for Glycated Hemoglobin Estimation", in the BOOM workshop of of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19 Workshop Best Paper Award), Macau, 2019. 
    [PDF][Code][Bib]
  7. Weixin Luo, Wen Liu, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, and Shenghua Gao, Video Anomaly Detection With Sparse Coding Inspired Deep Neural Networks, IEEE Trans Pattern Analysis and Machine Intelligence (TPAMI), accepted, 2019. 
    [PDF][Code][Bib]
  8. Joey Tianyi Zhou, Hao Zhang, Di Jin and Xi Peng*, Dual Adversarial Transfer for Sequence Labeling, IEEE Trans Pattern Analysis and Machine Intelligence (TPAMI). DOI: 10.1109/TPAMI.2019.2931569. 
    [PDF] [Code] [Bib]
  9. Tao Zhou, Changqing Zhang, Xi Peng, Harish Bhaskar, and Jie Yang, Dual Shared-Specific Multi-view Subspace Clustering, IEEE Trans Cybernetics (TCYB), DOI: 10.1109/TCYB.2019.2918495. 
    [PDF] [Code] [Bib]
  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 Trans Neural Networks and Learning Systems (TNNLS), vol:30, no:9, 2794-2804, Sep. 2019. 
    [PDF] [Code] [Bib]
  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 Trans Information Forensics and Security (TIFS), vol: 14, no:10, 2537-2550, OCT., 2019. DOI: 1109/TIFS.2019.2900907. 
    [PDF] [Code] [Bib]
  12. Zhenyu Huang, Hongyuan Zhu, Joey Tianyi Zhou, and Xi Peng*, Multiple Marginal Fisher Analysis, IEEE Trans Industrial Electronics (TIE), vol. 66, no. 12, pp: 9798-9807, Dec. 2019. DOI: 10.1109/TIE.2018.2870413. 
    [PDF] [Code] [Bib]
  13. Hongyuan Zhu, Yi Cheng, Xi Peng, Joey Tianyi Zhou, Zhao Kang, Shijian Lu, Zhiwen Fang, Liyuan Li, Joo-Hwee Lim, "Single Image Dehazing via Compositional Adversarial Network", IEEE Transactions on Cybernetics (IEEE TCYB), 2019. 
    [PDF][Code][Bib]

2018

  1. Hongyuan Zhu, Xi Peng*, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim, DehazeGAN: When Image Dehazing Meets Differential Programming, the 27th International Joint Conference on Artificial Intelligence (IJCAI’18), Stockholm, Sweden, July 13-19, 2018. (Oral) 
    [PDF] [Code] [Bib]
  2. Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng*, et al., SC2Net: Sparse LSTMs for Sparse Coding, the 32th AAAI Conference on Artificial Intelligence (AAAI'18), New Orleans, Louisiana, 2-7 Feb., 2018. (Oral) 
    [PDF] [Code] [Bib]
  3. Xi Peng, Jiashi Feng, Shijie Xiao, Wei-Yun Yau, Joey Tianyi Zhou, and Songfan Yang, Structured AutoEncoders for Subspace Clustering, IEEE Trans Image Processing (TIP), vol. 27, no.10, pp. 5076-5086, Oct., 2018. DOI: 10.1109/TIP.2018.2848470. 
    [PDF] [Code] [Bib]
  4. Joey Tianyi Zhou, Heng Zhao, Xi Peng*, Meng Fang, Zheng Qin and Rick Siow-Mong Goh, Transfer Hashing: From Shallow To Deep, IEEE Trans Neural Networks and Learning Systems (TNNLS), 29, no. 12, pp: 6191-6201, Dec. 2018. DOI: 10.1109/TNNLS.2018.2827036. 
    [PDF] [Code] [Bib]
  5. Hongyuan Zhu*, Romain Vial*, Shijian Lu, Xi Peng*, Huazhu Fu, Yonghong Tian, and Xianbin Cao, YoTube: Searching Action Proposal via Recurrent and Static Regression Networks, IEEE Trans Image Processing (TIP), vol. 27, no. 6, pp: 2609-2622, June, 2018. DOI: 1109/TIP.2018.2806279. 
    [PDF] [Code] [Bib]
  6. Xinxing Xu, Shijie Xiao, Zhang Yi, Xi Peng*, and Yong Liu, Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning, IEEE Trans Cognitive and Developmental Systems (TCDS), vol. 10, no. 2, pp: 280-289, June, 2018. DOI:10.1109/TCDS.2017.2686983. 
    [PDF] [Code] [Bib]
  7. Xi Peng, Canyi Lu, Zhang Yi, and Huajin Tang, Connections Between Nuclear Norm and Frobenius Norm Based Representation, IEEE Trans Neural Networks and Learning Systems (TNNLS), vol. 29, no. 1, pp. 218-224, Jan. 2018. DOI: 1109/TNNLS.2016.2608834. 
    [PDF] [Code] [Bib]

2017

  1. Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau and Zhang Yi, Cascade Subspace Clustering, The 31th AAAI Conference on Artificial Intelligence (AAAI’17), San Francisco, CA, Feb. 4-9, 2017. 
    [PDF] [Code] [Bib]
  2. Xi Peng, Jiwen Lu, Zhang Yi, and Yan Rui, Automatic Subspace Learning via Principal Coefficients Embedding, IEEE Trans Cybernetics (TCYB), 47, no. 11, pp. 3583-3596, Nov. 2017. DOI:10.1109/TCYB.2016.2572306. 
    [PDF] [Code] [Bib]
  3. Xi Peng, Bo Zhao, Rui Yan, Huajin Tang, and Zhang Yi, Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors, IEEE Trans Neural Networks and Learning Systems (TNNLS), vol. 28, no. 4, pp. 791-803, Apr. 2017. DOI:10.1109/TNNLS.2016.2536741. 
    [PDF] [Code] [Bib]
  4. Xi Peng, Zhiding Yu, Huajin Tang, and Zhang Yi, Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering, IEEE Trans Cybernetics (TCYB), vol. 47, no. 4, pp. 1053-1066, Apr. 2017. DOI:10.1109/TCYB.2016.2536752. 
    [PDF] [Code] [Bib]

2016

  1. Xi Peng, Shijie Xiao, Jiashi Feng, Wei-Yun Yau and Zhang Yi, Deep Subspace Clustering with Sparsity Prior, The 25th International Joint Conference on Artificial Intelligence (IJCAI’16), pp: 1925-1931, New York, July 9-15, 2016. (Oral) 
    [PDF] [Code] [Bib]
  2. Xi Peng, Huajin Tang, Lei Zhang, Zhang Yi, and Shijie Xiao, A Unified Framework for Representation-based Subspace Clustering of Out-of-sample and Large-scale Data, IEEE Trans Neural Networks and Learning Systems (TNNLS), vol. 27, no. 12, pp. 2499-2512, Dec. 2016. DOI:10.1109/TNNLS.2015.2490080. 
    [PDF] [Code] [Bib]
  3. Xi Peng, Miaolong Yuan, Zhiding Yu, Wei-Yun Yau, and Lei Zhang, Semi-supervised Learning with L2graph, Neurocomputing (NC), Volume 208, 5 October 2016, Pages 143-152, DOI: 10.1016/j.neucom.2015.11.112. 
    [PDF] [Code] [Bib]

2015

  1. Xi Peng, Zhang Yi, and Huajin Tang, Robust Subspace Clustering via Thresholding Ridge Regression, The 29th AAAI Conference on Artificial Intelligence (AAAI’15), pp 1745-1751, Austin, Texas, USA, January 25-29, 2015. 
    [PDF] [Code] [Bib]
  2. Zhiding Yu, Weiyang Liu, Wenbo Liu, Xi Peng, Zhuo Hui and B.V.K. Vijaya Kumar, Generalized Transitive Distance with Minimum Spanning Random Forest, The 24th International Joint Conference on Artificial Intelligence (IJCAI’15), Buuenos Aires, Argentina, July 25-31, 2015. (Oral) 
    [PDF] [Code] [Bib]
  3. Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, and Zhang Yi, Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification, Knowledge based Systems (KBS), vol: 90, 14-22, 2015. 
    [PDF] [Code] [Bib]

Before 2014

  1. Xi Peng, Lei Zhang and Zhang Yi, Scalable Sparse Subspace Clustering, The 26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR’13), pp 430-437, Portland, Oregon, USA, June, 2013. 
    [PDF] [Code] [Bib]
  2. Xi Peng, Lei Zhang, Zhang Yi and K. K. Tan, Learning Locality-Constrained Collaborative Representation for Robust Face Recognition, Pattern Recognition (PR), vol. 47, no. 9, 2794-2806, 2014. 
    [PDF] [Code] [Bib]
-- Copyright Notice: The materials are presented here can only be used for research purpose. Copyright and all rights therein are retained by authors or by other copyright holders. In most cases, these works may not be reposted or distributed without the explicit permission of the copyright holder. Noticed, the paper attached here is selected and the full list could refer to my google scholar.

Codes and Databases Usage: We provide some codes of our algorithms, as well as some datasets. All these codes and data sets are used in our experiments. The processed data can only be used for non-commercial purpose and all rights are retained by corresponding right owners. If the codes or data sets are helpful to you, please appropriately cite related works including ours.

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