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Zhou, Jiahuan（周嘉欢）


Excellent Young Scientists Fund Program (Overseas) 国家级人才计划青年项目（海外）入选者,

Peking University Boya Young Fellow 北京大学博雅青年学者,

Wangxuan Institute of Computer Technology, Peking University.

Beijing, China

E-mail: jiahuanzhou@pku.edu.cn


I am now a Tenure-track Assistant Professor (Ph.D. Advisor) in Wangxuan Institute of Computer Technology, Peking University. I received my Ph.D. degree under the supervision of Prof.Ying Wu from Northwestern University in 2018. Before coming to Northwestern, I have received my B.E. degree in the Automation Department from Tsinghua University, Beijing, China in 2013. Before joining Peking University, I was a Postdoctoral Fellow and Research Assistant Professor working with Prof.Ying Wu in Northwestern University. 

 

News

  • We are always actively recruiting Post-doc Fellows, Ph.D., Master, and Research Interns! Welcome to contact me with your detailed CV! (常年招收博士后、博士、硕士和科研实习生！)

  • 04.2024, One paper is accepted by IJCAI'2024.

  • 03.2024, One paper is accepted by Nature Synthesis.

  • 02.2024, Four papers are accepted by CVPR'2024.

  • 01.2024, One paper is accepted by IEEE T-PAMI.

  • 12.2023, One paper is accepted by ACM TOMM.

  • 12.2023, Five papers are accepted by AAAI'2024.

  • 12.2023, Invited to serve as the Area Chair of ICPR'2024.

  • 11.2023, One paper is accepted by IEEE TIFS.

  • 09.2023, One paper is accepted by ICIG'2023.

  • 07.2023, One paper is accepted by ACM MM'2023.

  • 06.2023, Invited to serve as the Area Chair of CVPR'2024.

  • 03.2023, One paper is accepted by IEEE TCSVT.

  • 01.2023, One paper is accepted by IEEE TCSVT.

  • 12.2022, Invited to serve as the Session Chair of VCIP'2022.

  • 12.2022, Invited to serve as the Area Chair of ICME'2023.

  • 11.2022, One paper is accepted by AAAI'2023.

  • 10.2022, Awarded National Young Scientists Funding Program.

  • 09.2022, Invited to serve as the Area Chair of CVPR'2023.

  • 08.2022, One paper is accepted by IEEE T-PAMI.

  • 07.2022, One paper is accepted by ECCV'2022.

  • 04.2022, Invited to serve as the Area Chair of ICPR'2023.

  • 03.2022, Joined Peking University.

 

Research Interests

  • Learning from Limited Data (One/Few-shot Learning, Zero-shot Learning, Online Learning, Incremental Learning)

  • Image and Video Representation Learning (Retrieval, Identification, Recognition)

  • Machine Learning (Deep Learning, Learning Theory Anlysis, Self-Supervised Learning, Adversarial Leanring)

  • Multi-Modal Learning (Text to Visual, Visible to Thermal, Sketch to Photo, etc)

 

Publications

  1. Hongbo Sun, Jiahuan Zhou, Xiangteng He, Jinglin Xu, Yuxin Peng, "FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning", in 2024 International Joint Conference on Artificial Intelligence (IJCAI'24), Jeju, South Korea. [pdf]

  2. Xiaocang Han, Mengmeng Niu, Yan Luo, Runlai Li, Jiadong Dan, Yanhui Hong, Xu Wu, Alex V. Trukhanov, Wei Ji, Yeliang Wang, Jiahuan Zhou, Jingsi Qiao, Jin Zhang, Xiaoxu Zhao, "Atomically engineering metal vacancies in monolayer transition metal dichalcogenides" in Nature Synthesis (Nat. Synth'24), Doi: 10.1038/s44160-024-00501-z. [pdf]

  3. Kunlun Xu, Xu Zou, Yuxin Peng, Jiahuan Zhou*, "Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification", in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'24), Seattle WA, USA. [pdf] [code]

  4. Qiwei Li, Yuxin Peng, Jiahuan Zhou*, "FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning", in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'24), Seattle WA, USA. [pdf] [code]

  5. Yanjie Wang, Xu Zou, Luxin Yan, Sheng zhong, Jiahuan Zhou*, "SNIDA: Unlocking Few-Shot object Detection with Non-linear Semantic Decoupling Augmentation", in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'24), Seattle WA, USA. [pdf] [code]

  6. Zhenyu Cui, Jiahuan Zhou, Xun Wang, Manyu zhu, Yuxin Peng, "Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification", in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'24), Seattle WA, USA. [pdf] [code]

  7. Shilv Cai, Liqun Chen, Zhijun Zhang, Xiangyun Zhao, Jiahuan Zhou, Yuxin Peng, Luxin Yan, Sheng Zhong, and Xu Zou, "I2C: Invertible Continuous Codec for High-Fidelity Variable-Rate Image Compression", in IEEE Transactions on Pattern Analysis & Machine Intelligence (T-PAMI), 2024. (Accepted) [pdf]

  8. Yanzhe Chen, Jiahuan Zhou, and Yuxin Peng, "SPIRIT: Style-guided Patch Interaction for Fashion Image Retrieval with Text Feedback", ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2023. (Accepted) [pdf]

  9. Kunlun Xu, Xu Zou, and Jiahuan Zhou*, "LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-Identification", Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024. [pdf] [code]

  10. Zichen Liu, Hongbo Sun, Yuxin Peng, and Jiahuan Zhou*, "DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation", Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024. [pdf] [code]

  11. Zhenyu Cui, Yuxin Peng, Xun Wang, Manyu Zhu, and Jiahuan Zhou, "Continual Vision-Language Retrieval via Dynamic Knowledge Rectification", Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024. [pdf]

  12. Yanzhe Chen, Huasong Zhong, Xiangteng He, Yuxin Peng, Jiahuan Zhou, and Lele Cheng, "FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval", Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024. [pdf]

  13. Shilv Cai, Liqun Chen, Sheng Zhong, Luxin Yan, Jiahuan Zhou, and Xu Zou, "Make Lossy Compression Meaningful for Low-light Images", Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024. [pdf]

  14. Zhenyu Cui, Jiahuan Zhou, and Yuxin Peng, "DMA: Dual Modality-Aware Alignment for Visible-Infrared Person Re-Identification", IEEE Transactions on Information Forensics and Security (TIFS), 2023. [pdf] [code]

  15. Hongbo Sun, Xiangteng He, Jiahuan Zhou, and Yuxin Peng, "Fine-Grained Visual Prompt Learning of Vision-Language Models for Image Recognition", 31st ACM Multimedia Conference (ACM MM'23), Ottawa, Canada, Oct.29 - Nov.3, 2023, pp. 5828-5836, Doi: 10.1145/3581783.3612403. [pdf]

  16. Kunlun Xu, Yuxin Peng, and Jiahuan Zhou*, "Uncover the Body: Occluded Person Re-identification via Masked Image Modeling", 12rd International Conference on Image and Graphics (ICIG'23), Nanjing, China, Sep.22 - 24, 2023, pp. 241-253, Doi: 10.1007/978-3-031-46305-1_20. [pdf]

  17. Zeqi Chen, Zhichao Cui, Chi Zhang, Jiahuan Zhou, and Yuehu Liu, "Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, vol. 33, no. 10, pp. 5908-5920, Doi: 10.1109/TCSVT.2023.3261898. [pdf]

  18. Zhenyu Cui, Jiahuan Zhou, Yuxin Peng, Shiliang Zhang, and Yaowei Wang, "DCR-ReID: Deep Component Reconstruction for Cloth-Changing Person Re-Identification", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, vol. 33, no. 8, pp. 4415-4428, Doi: 10.1109/TCSVT.2023.3241988. [pdf] [code]

  19. MengShun Hu, Kui Jiang, Zhixiang Nie, Jiahuan Zhou, and Zheng Wang, "Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-Resolution", Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI'23), Washington, DC, USA, Feb. 2023, pp. 863-871. Doi: 10.1609/aaai.v37i1.25165. [pdf]

  20. Jiahuan Zhou, Bing Su, and Ying Wu, "Discriminative Self-Paced Group-Metric Adaptation for Online Visual Identification", in IEEE Transactions on Pattern Analysis & Machine Intelligence (T-PAMI), vol. 45, no. 04, pp. 4368-4383, 2023. Doi: 10.1109/TPAMI.2022.3200036. [pdf]

  21. Mingfu Liang, Jiahuan Zhou*, Wei Wei, and Ying Wu, "Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning", in Proc. European Conf. on Computer Vision (ECCV'22), Tel-Aviv, Israel, Oct. 2022, pp. 364-380. Doi: 10.1007/978-3-031-19809-0_21. [pdf]

  22. Bing Su, Jiahuan Zhou*, Jirong Wen, and Ying Wu, "Linear and Deep Order-Preserving Wasserstein Discriminant Analysis", in IEEE Transactions on Pattern Analysis & Machine Intelligence (T-PAMI), vol. 44, no. 06, pp. 3123-3138, 2022. Doi: 10.1109/TPAMI.2021.3050750. [pdf]

  23. Jiahuan Zhou, Bing Su, and Ying Wu, "Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification," in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’20), Seattle, WA, USA, 2020, pp. 2906-2915. Doi: 10.1109/CVPR42600.2020.00298. [pdf]

  24. Yansong Tang#, Zanlin Ni#, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, and Jie Zhou, "Uncertainty-aware Score Distribution Learning for Action Quality Assessment", in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’20), Seattle, WA, USA, 2020, pp. 9836-9845. Doi: 10.1109/CVPR42600.2020.00986. [pdf]

  25. Bing Su, Jiahuan Zhou, and Ying Wu, "Order-preserving Wasserstein Discriminant Analysis", in 2019 IEEE/CVF International Conference on Computer Vision (ICCV'19), Seoul, Korea (South), 2019, pp. 9884-9893. Doi: 10.1109/ICCV.2019.00998. [pdf]

  26. Xu Zou, Sheng Zhong, Luxin Yan, Xiangyun Zhao, Jiahuan Zhou*, and Ying Wu, "Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble", in 2019 IEEE/CVF International Conference on Computer Vision (ICCV'19), Seoul, Korea (South), 2019, pp. 141-150. Doi: 10.1109/ICCV.2019.00023. [pdf]

  27. Jiahuan Zhou, and Ying Wu, "Learning Visual Instance Retrieval from Failure: Efficient Online Local Metric Adaptation from Negative Samples", in IEEE Transactions on Pattern Analysis & Machine Intelligence (T-PAMI), vol. 42, no. 11, pp. 2858-2873, 2020. Doi: 10.1109/TPAMI.2019.2918208. [pdf]

  28. Xinzhao Li, Yuehu Liu, Zeqi Chen, Jiahuan Zhou, and Ying Wu, "Fused Discriminative Metric Learning for Low Resolution Pedestrian Detection", in Proceedings of IEEE International Conference on Image Processing (ICIP'18), Athens, Greece, Oct. 2018.[pdf]

  29. Jiahuan Zhou, Bing Su, and Ying Wu, "Easy Identification from Better Constraints: Multi-Shot Person Re-Identification from Reference Constraints", in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'18), Salt Lake City, UT, USA, 2018, pp. 5373-5381. Doi: 10.1109/CVPR.2018.00563. [pdf]

  30. Jiahuan Zhou, Pei Yu, Tang Wei, and Ying Wu, "Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification", in 2017 IEEE International Conference on Computer Vision (ICCV'17), Venice, Italy, 2017, pp. 2439-2447. Doi: 10.1109/ICCV.2017.265. [pdf]

  31. Wei Tang, Pei Yu, Jiahuan Zhou, and Ying Wu, "Towards a Unified Compositional Model for Visual Pattern Modeling", in 2017 IEEE International Conference on Computer Vision (ICCV'17), Venice, Italy, 2017, pp. 2803-2812. Doi: 10.1109/ICCV.2017.303. [pdf]

  32. Bing Su, Jiahuan Zhou, Xiaoqing Ding, and Ying Wu, "Unsupervised Hierarchical Dynamic Parsing and Encoding for Action Recognition", in IEEE Transactions on Image Processing (TIP'2017), 26.12: 5784-5799, Doi: 10.1109/TIP.2017.2745212. [pdf]

  33. Bing Su, Jiahuan Zhou, Xiaoqing Ding, Hao Wang, and Ying Wu, "Hierarchical Dynamic Parsing and Encoding for Action Recognition", in Computer Vision–ECCV 2016: 14th European Conference (ECCV'16), Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part IV 14, pp. 202-217, Doi: 10.1007/978-3-319-46493-0_13. [pdf]

  34. Pei Yu, Jiahuan Zhou, and Ying Wu, "Learning Reconstruction-based Gaze Estimation", in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'16), Las Vegas, NV, USA, 2016, pp. 3447-3455. Doi: 10.1109/CVPR.2016.375. [pdf]

  35. Jiahuan Zhou*, and Ying Wu, "Finding the Right Exemplars for Reconstructing Single Image Super-Resolution", in 2016 IEEE International Conference on Image Processing (ICIP'16, Oral), Phoenix, 2016, pp. 1414-1418. [pdf]

  36. Han Hu, Jiahuan Zhou, Jianjiang Feng, and Jie Zhou, "Multi-way constrained spectral clustering by nonnegative restriction," in 2012 21st International Conference on Pattern Recognition (ICPR'12, Oral), Tsukuba, 2012, pp. 1550-1553. [pdf]

Note: * indicates the corresponding author; # indicates equal contribution.

Full list of publications in Google Scholar.

 

Academic Service

Associate Editor (AE):

  • Journal of Machine Vision and Applications (MVA), 2023-present

Member of the Program Committee (PC):

  • The AAAI Conference on Artificial Intelligence (AAAI), 2020-2024

Area Chair:

  • IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2023,2024

  • The 26th International Conference on Pattern Recognition (ICPR), 2022,2023,2024

  • IEEE International Conference on Multimedia and Expo (ICME), 2020,2021,2023

Conference Reviewer:

  • IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)

  • IEEE Int’l Conf. on Computer Vision (ICCV)

  • European Conf. on Computer Vision (ECCV)

  • Conference on Neural Information Processing Systems (NeurIPS)

  • International Conference on Learning Representations (ICLR)

  • International Conference on Machine Learning (ICML)

  • The AAAI Conference on Artificial Intelligence (AAAI)

  • British Machine Vision Conference (BMVC)

  • IEEE International Conference on Automatic Face and Gesture Recognition (FG)

Journal Reviewer:

  • IEEE Trans on Pattern Analysis and Machine Intelligence (IEEE T-PAMI), 2015-present

  • IEEE Trans on Circuits and Systems for Video Technology (IEEE TCSVT), 2016-present

  • IEEE Trans on Image Processing (IEEE TIP), 2017-present

  • Computer Vision and Image Understanding (CVIU), 2018-present

  • IEEE Transactions on Information Forensics & Security (IEEE T-IFS), 2019-present

  • International Journal of Computer Vision (IJCV), 2019-present

  • Signal, Image and Video Processing (SIVP), 2019-present

  • Neurocomputing (NEUCOM), 2020-present

  • IEEE Trans on Multimedia (IEEE TMM), 2022-present

  • IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022-present