ABOUT ME

I currently serve as an Associate Professor in the School of Computing and Artificial Intelligence at Southwest Jiaotong University (SWJTU). I obtained my bachelor's degree from the School of Computer Science and Technology at the University of Science and Technology of China (USTC). Subsequently, I earned my Ph.D. in Pattern Recognition and Intelligent Systems from the Multimedia Computing Group (MMC) at the Institute of Automation, Chinese Academy of Sciences, under the supervision of Professor Prof. Changsheng Xu and co-supervision of Professor Prof. Jitao Sang. My academic experience encompasses research visits at the China-Singapore Institute of Digital Media (CSIDM) and the Department of Computing at The Hong Kong Polytechnic University.

My research interests lie in computer vision, generative AI, and deep learning, with particular emphasis on two primary areas:
(1) 3D Computer Vision: 3D reconstruction, 3D content generation, Multimodal learning, etc.
(2) Generalizable Learning: Continual learning, Compositional learning, etc.

Adress: No. 999, Xi'an Road, Pidu District, Chengdu, China PR.   Postcode: 611756.   Eail: zqyuan0@gmail.com


招生信息

袁召全，现任西南交通大学计算机与人工智能学院副教授，硕士生导师。 本科毕业于中国科学技术大学计算机科学与技术学院，博士毕业于中国科学院大学（中国科学院自动化研究所，导师：徐常胜研究员）。 曾先后在中国-新加坡数字媒体研究院、香港理工大学计算机科学系交流访问。 曾获国际学术会议ACM MM Asia 2024最佳论文奖、MMM 2021最佳论文奖、2024年度中国发明协会发明创业奖创新奖、2024年度广西应急管理协会安全科技进步奖。 近年来在CVPR、ACM MM、IJCAI、IEEE TMM等国际学术会议及期刊发表论文近30篇。 任多届CVPR、ACM MM、ACL、AAAI、IJCAI、EMNLP、ICMR、ICME等国际会议程序委员会委员，及多个IEEE Trans、ACM Trans期刊审稿人。 先后主持国家自然科学基金青年项目、四川省自然科学基金项目、四川省科技计划基础研究项目、中国博士后基金项目等多项。 主要研究方向包括计算机视觉、生成式AI、深度学习、多模态学习等，目前重点关注：
(1) 三维视觉：3D重建，3D内容生成，多模态学习等；
(2) 可泛化的深度学习：持续学习，组合学习等。

欢迎具备以下条件的同学加入科研团队：
(1) 良好的自我驱动力，对学术探索/工程技术有强烈的兴趣与热情；
(2) 数学与编程基础扎实，对计算机视觉、深度学习、3D视觉、多模态等AI前沿技术感兴趣；
(3) 责任心强，有团队合作精神，诚信可靠。
有意向的同学请邮件联系：zqyuan0@gmail.com


NEWS

  • [Dec 5, 2024] Our paper "TMM-CLIP: Task-guided Multi-Modal Alignment for Rehearsal-Free Class Incremental Learning" has received the Best Paper Award at the ACM MM Asia 2024.
  • [March 27, 2024] Paper "PostureHMR: Posture Transformation for 3D Human Mesh Recovery" is accepted by CVPR 2024 (CCF-A).
  • [July 27, 2023] Paper "Human-Object-Object Interaction: Towards Human-Centric Complex Interaction Detection" is accepted by ACM MM 2023 (CCF-A).
  • [Dec 27, 2022] 邵焕同学获西南交通大学2022年度优秀硕士论文奖！
  • [June 30, 2022] Paper "Domain-Specific Conditional Jigsaw Adaptation for Enhancing transferability and Discriminability" is accepted by ACM MM 2022 (CCF-A).
  • [Junly 4, 2021] Paper "Hierarchical Multi-Task Learning for Diagram Question Answering with Multi-Modal Transformer" is accepted by ACM MM 2021 (CCF-A, Oral).
  • [June 24, 2021] Paper "Contrastive learning in frequency domain for Non-I.I.D. image classification" is awarded as best paper at MMM 2021.
  • [June 1, 2020] Paper "Adversarial Multimodal Network for Movie Question Answering" is accepted by IEEE Trans. on Multimedia.


REWARDS

  • 国际学术会议 Multimedia Modeling 2021最佳论文奖，捷克布拉格，2021-06-24
  • 国际学术会议 ACM Multimedia Asia 2024最佳论文奖，新西兰奥克兰，2024-12-5
  • 2024年度中国发明协会发明创业奖创新奖，二等奖，第二完成人，2024-07

SELECTED PUBLICATIONS

  • Xuan Yao, Xiao Peng, Junyu Gao, Zhaoquan Yuan, Xiao Wu, and Changsheng Xu.
    Active Cross-modal Domain Adaptation.
    IEEE Transactions on Multimedia, 2025. (TMM, 中科院1区)

  • Zhaoquan Yuan, Chengbin Zhao, Yuting Tang, Lishu Guo, Xiao Wu, and Changsheng Xu.
    Contrastive Invariant Risk Minimization for Grounded Situation Recognition.
    IEEE International Conference on Multimedia & Expo, June 30-July 4, 2025. Nantes, France (ICME)

  • Zhou Du, Zhaoquan Yuan*, Xiao Wu, and Changsheng Xu.
    Disentanglement-based Equivariant Learning for Compositional VQA.
    IEEE Transactions on Multimedia, 2025. (TMM, 中科院1区)

  • Yuankang Pan, Zhaoquan Yuan, Xiao Wu, Zechao Li, and Changsheng Xu.
    TMM-CLIP: Task-guided Multi-Modal Alignment for Rehearsal-Free Class Incremental Learning.
    Proceedings of ACM Multimedia Asia, pp. 1-7. December 03–06, 2024, Auckland, New Zealand.
    https://doi.org/10.1145/3696409.3700182.     (MM Asia, 最佳论文奖 )

  • Chongyang Xiang, Xiao Wu, Jun-Yan He, Zhaoquan Yuan, and Tingquan He.
    Person in Uniforms Re-Identification.
    ACM Transactions on Multimedia Computing Communications and Applications, Volume 21, Issue 2, pp. 1-23, 2024.
    https://doi.org/10.1145/3703839.

  • Yu-Pei Song, Yuantong Liu, Xiao Wu, Qi He, Zhaoquan Yuan, and Ao Luo.
    MagicCartoon: 3D Pose and Shape Estimation for Bipedal Cartoon Characters.
    Proceedings of the 32nd ACM International Conference on Multimedia, pp. 8219-8227. Oct 28–Nov 1, 2024, Melbourne, Australia. (ACM MM, CCF-A)

  • Yu-Pei Song, Xiao Wu, Zhaoquan Yuan, Jian-Jun Qiao, and Qiang Peng.
    PostureHMR: Posture Transformation for 3D Human Mesh Recovery.
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9732-9741. June 19-21, 2024. Seattle WA, USA. (CVPR, CCF-A)

  • Ming-Xuan Zhang, Xiao Wu, Zhaoquan Yuan, Qi He, and Xiang Huang.
    Human-Object-Object Interaction: Towards Human-Centric Complex Interaction Detection.
    Proceedings of the 31st ACM International Conference on Multimedia, pp. 2233-2242. Oct 29–Nov 3, 2023. Ottawa, Canada. (ACM MM, CCF-A)

  • Ying Shen, Wei Li, Zhaoquan Yuan, and Xiao Wu.
    Learning Surface-awareness Network for X-Ray Prohibited Item Detection.
    Proceedings of the 5th ACM International Conference on Multimedia in Asia, pp. 1-5. Dec 6-8, 2023. Tainan Taiwan.

  • Qi He, Zhaoquan Yuan*, Xiao Wu, and Jun-Yan He.
    Domain-Specific Conditional Jigsaw Adaptation for Enhancing Transferability and Discriminability.
    Proceedings of the 30th ACM International Conference on Multimedia, pp. 6327-6336. Oct 10-14, 2022. Lisbon Portugal. https://doi.org/10.1145/3503161.3547890. (ACM MM, CCF-A)

  • Wei Li, Tianzhao Yang, Xiao Wu, and Zhaoquan Yuan.
    Learning Graph-based Residual Aggregation Network for Group Activity Recognition.
    Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, pp. 1102-1108. July 23-29, 2022. Messe Wien, Vienna, Austria. (IJCAI, CCF-A)

  • Zhaoquan Yuan, Xiao Peng, Xiao Wu*, and Changsheng Xu.
    Hierarchical Multi-Task Learning for Diagram Question Answering with Multi-Modal Transformer.
    Proceedings of the 29th ACM International Conference on Multimedia, pp. 1313-1321. Oct 20-24, 2021. Chengdu, China. (ACM MM, CCF-A)

  • Zhaoquan Yuan, Siyuan Sun, Lixin Duan*, Changsheng Li*, Xiao Wu, and Changsheng Xu.
    Adversarial Multimodal Network for Movie Story Question Answering.
    IEEE Transactions on Multimedia, vol. 23, pp. 1744-1756, 2021. (TMM, 中科院1区)

  • Zhaoquan Yuan, Xiao Peng, Xiao Wu*, Bingkun Bao, and Changsheng Xu.
    Meta-Learning Causal Feature Selection for Stable Prediction.
    2021 IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6. IEEE. July 5-9, 2021. Shenzhen, China. (ICME, CCF-B)

  • Huan Shao, Zhaoquan Yuan*, Xiao Peng, and Xiao Wu.
    Contrastive Learning in Frequency Domain for Non-I.I.D. Image Classification.
    Proceedings of the 27th International Conference on Multimedia Modeling, pp. 111-122. June 22–24, 2021. Prague, Czech Republic. (MMM, 最佳论文奖 )

  • Jun-Yan He, Xiao Wu, Zhi-Qi Cheng, Zhaoquan Yuan, and Yu-Gang Jiang.
    DB-LSTM: Densely-Connected Bi-directional LSTM for Human Action Recognition.
    Neurocomputing, 444, pp.319-331, 2021 (中科院1区)

  • Zhaoquan Yuan, Changsheng Xu*, Jitao Sang, Shuicheng Yan, and M. Shamim Hossain.
    Learning Feature Hierarchies: A Layer-Wise Tag-Embedded Approach.
    IEEE Transactions on Multimedia, vol. 17, no. 6, pp. 816-827, 2015. (TMM, 中科院1区)

  • Zhaoquan Yuan, Jitao Sang, Changsheng Xu*, and Yan Liu.
    A Unified Framework of Latent Feature Learning in Social Media.
    IEEE Transactions on Multimedia, vol. 16, no. 6, pp. 1624-1635, 2014. (TMM, 中科院1区)

  • Zhaoquan Yuan, Jitao Sang, Yan Liu, and Changsheng Xu*.
    Latent Feature Learning in Social Media Network.
    Proceedings of the 21st ACM international conference on Multimedia, pp. 253-262. Oct 21-25, 2013. Barcelona, Spain. (ACM MM, CCF-A)

  • Zhaoquan Yuan, Jitao Sang, and Changsheng Xu*.
    Tag-aware Image Classification via Nested Deep Belief Nets.
    2013 IEEE international conference on Multimedia and Expo, pp. 1-6. IEEE. July 15-19, 2013. San Jose, CA, USA. (ICME)


TEACHING

Undergraduate Courses

  • Digital Image Processing, SCAI004012, 2024 – 2025(1)
  • Natural Language Processing, SCAI008012, 2023 – 2024(2)
  • Digital Image Processing, SCAI004012, 2023 – 2024(1)
  • Digital Image Processing, SCAI004012, 2022 – 2023(1)
  • Digital Image Processing, 3143324, 2021 – 2022(1)
  • Digital Image Processing, 0371053, 2020 – 2021(2)
  • Digital Image Processing, 3143324, 2020 – 2021(1)
  • Digital Image Processing, 0371053, 2019 – 2020(2)
  • Digital Image Processing, 3143324, 2019 – 2020(1)
  • Digital Image Processing, 0371053, 2018 – 2019(2)

Graduate Course

  • Natural Language Processing, 2024 – 2025(2)
  • Natural Language Processing, 2023 – 2024(2)
  • Natural Language Processing, 2022 – 2023(2)
  • Natural Language Processing, 2021 – 2022(2)

GRANT AND FUNDS

  • Intelligent Parameter Learning and Image Reconstruction in Adaptive Optical Systems, 2024.12 – 2026.11, the Fund of National Laboratory on Adaptive Optics, China, FNLAO-24-ZD-O02
  • Causal Mechanism-based Multimodal Continual Learning, 2024.01 – 2025.12, Natural Science Foundation of Sichuan Province, 2024NSFSC0508
  • Machine Learning and Reasoning in Video Question Answering, 2019.01 – 2021.12, National Natural Science Foundation of China, 61802053
  • Machine Reasoning Research Towards Multimodal Question Answering, 2020.01 – 2022.12, Sichuan Science and Technology Program, 2020YJ0037
  • Key Technologies of Video Question Answering System, China Postdoctoral Science Foundation, 2020M683353
  • Semantic Understanding toward Video Question Answering, 2019.01 – 2020.12, Fundamental Research Funds for the Central Universities, 2682019CX62

SERVICES

Program Committee Member

  • ACM International Conference on Multimedia, 2019 – present
  • International Conference on Computer Vision, 2025 – present
  • Association for the Advancement of Artificial Intelligence, 2022 – present
  • International Joint Conference on Artificial Intelligence, 2023 – present
  • Annual Meeting of the Association for Computational Linguistics, 2023 – present
  • International Conference on Empirical Methods in Natural Language Processing, 2021 – present
  • ACM International Conference on Multimedia Retrieval, 2019 – present
  • IEEE International Conference on Multimedia and Expo, 2019 – present
  • International Conference on Multimedia Modeling, 2019 – present
  • ACM International Conference on Multimedia in Asia, 2019 – present

Journal Reviewer

  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Cybernetics
  • ACM Transactions on Multimedia Computing Communications and Applications
  • Pattern Recognition
  • Multimedia Systems
  • Multimedia Tools and Applications

STUDENTS

PhD Students

  • Jing Zhou (Co-superviser)
  • Yuankang Pan (Co-superviser)
  • Fangying Xiong (Co-superviser)

Master Students

  • Yuting Liu, Yuan Lin, Guoshuai Liang, Liaoliao Ren (Co-superviser), Kunlin Liang (Co-superviser)
  • Yuke Li, Yuting Tang, Maorui Zhang, Cong Zheng, Xuehui Chen, Yang Liu (Co-superviser), Tao Liu (Co-superviser), Jicheng Liu (Co-superviser)
  • Zihao Luan, Jiangbo Chai, Hongxiao Yuan, Ting Pan, Fanpeng Li, Zimeng Wang (Co-superviser), Shengkai Wan (Co-superviser), Xinhan Lian (Co-superviser), Zhou Du (Co-superviser)
  • Zining Wang, Wen Xu, Jie Tang, Zijia Liang, Bojie Ma (Co-superviser), Yuan Ma (Co-superviser), Zhun Zhong (Co-superviser)

Graduated Students

  • Chengbin Zhao, Huancheng Xu, Baili Zhou, Huan Shao (优秀硕士论文奖), Xiao Peng

RESOURCE


Last updated date: March 21, 2025.