I currently serve as an Associate Professor in the School of Computing and Artificial Intelligence, Southwest Jiaotong University (SWJTU), Chengdu, China. I obtained my bachelor's degree in Computer Science and Technology from the University of Science and Technology of China (USTC). Subsequently, I earned my Ph.D. in Pattern Recognition and Intelligent Systems from the Institute of Automation, Chinese Academy of Sciences (CASIA), 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 encompasses computer vision, generative AI, multimodal learning, and causal intelligence.Address: No. 999, Xi'an Road, Pidu District, Chengdu, China PR. Postcode: 611756. Eail: zqyuancs@gmail.com
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，计算机科学与技术系主任。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）。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、AAAI、IJCAI、ACM MM、IEEE TMM等国际学术会议及期刊发表论文30多篇。任多届CVPR、AAAI、IJCAI、ACL、ACM MM、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、生成式人工智能、多模态学习、因果智能等。
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、因果智能、3D视觉、强化学习等人工智能前沿技术感兴趣；
(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：zqyuancs@gmail.com
Ao Luo, XIN LI, Fan Yang, Yuezun Li, Zhaoquan Yuan, SHAN ZHAO, Bing Su, Xiao Wu.
Optical Flow Matching: Reframing Optical Flow as Continuous Transport Dynamics.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026. (CVPR, CCF-A)
Yuankang Pan, Zhaoquan Yuan*, Xiao Wu, Wei Li, Ao Luo, and Changsheng Xu.
Learning Unknowns without Forgetting Knowns: Compositional and Bidirectional Low-Rank Adaptive OpenWorld Detection Transformer.
IEEE Transactions on Circuits and Systems for Video Technology, 17 February 2026. DOI: 10.1109/TCSVT.2026.3665637. (TCSVT, 中科院1区)
Zhaoquan Yuan, Zining Wang, Yuankang Pan, Ao Luo, Wei Li, Xiao Wu, and Changsheng Xu.
I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle.
The Fortieth AAAI Conference on Artificial Intelligence, January 20–January 27, 2026, Singapore. (AAAI, CCF-A)
Wei Li, Long Ji, Ying Wang, Xiao Wu, Zhaoquan Yuan*, Penglin Dai.
Monocular Vehicle Pose and Shape Reconstruction via Dynamic Context Adaptation and Progressive Geometry Refinement.
The Fortieth AAAI Conference on Artificial Intelligence, January 20–January 27, 2026, Singapore. (AAAI, CCF-A)
Fangying Xiong, Zhaoquan Yuan*, Xiao Wu, and Changsheng Xu.
Class-Specific Knowledge-Guided Multimodal Prompt Tuning for Few-Shot Class-Incremental Learning.
IEEE Transactions on Circuits and Systems for Video Technology, 11 August 2025. DOI: 10.1109/TCSVT.2025.3597447. (TCSVT, 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.
ACM Transactions on Multimedia Computing, Communications, and Applications, 2025. DOI: 10.1145/3785477. (TOMM)
Yuankang Pan, Zining Wang, Zhaoquan Yuan*, and Wei Li.
Energy-Based Causal Disentanglement for Compositional Zero-Shot Learning.
Multimedia Systems, Volume 32, article number 6, 2026. https://doi.org/10.1007/s00530-025-02064-1.
Xiang Huang, Ao Luo, Xiao Wu, and Zhaoquan Yuan.
Latent Interactiveness Field for Non-Contact Human Object Interaction Detection.
Proceedings of the 33rd ACM International Conference on Multimedia, Oct 27-31, 2025, Dublin, Ireland. (ACM MM, CCF-A)
Qi He, Xiao Wu, Jun-Yan He, Wei Li, and Zhaoquan Yuan.
DualEnhance: External Multimodal Foundation Models Guidance and Internal Fast-Slow Teacher Regulation.
Proceedings of the 33rd ACM International Conference on Multimedia, Oct 27-31, 2025, Dublin, Ireland. (ACM MM, CCF-A)
Wei Li, Yizhao Wan, Xiao Wu, Jianshuai Wang, Penglin Dai, and Zhaoquan Yuan.
HOPNet: Learning Hand-Object-Person Interaction Network for Hand Contact State Detection.
Proceedings of the 33rd ACM International Conference on Multimedia, Oct 27-31, 2025, Dublin, Ireland. (ACM MM, CCF-A)
Mingxuan Zhang, Qi He, Zhaoquan Yuan*, Tingquan He, and Rong Li.
HOOI Detection: Cascade-Clue Integrated Modeling over Multiple Temporal Segments.
Proceedings of the 2025 International Conference on Multimedia Retrieval, Pages 1786-1794,
June 30-July 3, 2025, Chicago, USA. https://doi.org/10.1145/3731715.3733360. (ICMR)
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.
DOI: 10.1109/ICME59968.2025.11210121. (ICME)
Zhou Du, Zhaoquan Yuan*, Xiao Wu, and Changsheng Xu.
Disentanglement-based Equivariant Learning for Compositional VQA.
IEEE Transactions on Multimedia,September 01, 2025. DOI: 10.1109/TMM.2025.3604897 (TMM, 中科院1区)
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)
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)
Last updated date: Jan 8, 2026.