欧阳德强，硕士生导师，主要从事强化学习、具身大模型、机器人、agent等方面的研究。先后在新西兰奥克兰大学进行联合培养、在香港大学做博士后。在近年来在国际知名刊物或者会议发表论文50余篇，谷歌学术引用量1300余次，其中高被引论文2篇。参与编写《智能网联汽车信息安全测试》等专业教材。目前申请专利27项，已被授权7项，其中授权国防专利1项。担任中国人工智能学会具身智能专委会委员、中国指挥与控制学会具身智能专业委员会委员、中国人工智能学会人工智能基础专委会执行委员、中国标准化协会机器人专业委员会员、中国自动化学会动态学习与智能医学专委会委员。主持和承担军委科技委基础加强项目、军委科技委16x工程课题项目、国家自然基金区域联合基金项目、重庆市面上项目、之江国际青年人才基金项目、国家重点研发项目，国家自然基金面上项目等。受邀担任 SCI 期刊 Neural Computing and Applications 编委及CCF计算领域高质量科技T3类期刊《应用科学学报》青年编委，并且担任多个国际期刊的审稿人，如IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics，Knowledge-Based Systems等。

Ø 招生信息：每年招收2名硕士生。欢迎计算机、软件、通信、自动化、数学等相关专业同学申请。联系邮箱：deqiangouyang@cqu.edu.cn。

Ø 团队国际合作资源丰富，与新西兰奥克兰大学、澳大利亚昆士兰大学等高校联系紧密，特别优秀者可推荐赴海外攻读博士学位。

Ø 团队科研经费充足、条件优越、氛围融洽。实验室具备国际一流的软硬件设施。包括宇树、智元人型机器人本体，因时灵巧手，VR眼镜，脑机接口设备，机械臂，8卡A100服务器等。

近三年代表性成果如下（按时间倒序排列）：

[1] Hongcai He, Zetao Zheng, Anjie Zhu, Deqiang Ouyang*, Jie Shao, “Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts”, In Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI) January 20-27 2026, Singapore (2026). (CCF A类会议)

[2] Hui Li, Huafeng Liu, Yiran Fu, Shuyang Lin, Baoxin Zhang, Deqiang Ouyang*, Liping Jing, Jian Yu, “MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization”, In Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI) January 20-27 2026, Singapore (2026). (CCF A类会议)

[3] Jiasheng Zhang, Deqiang Ouyang*, Shuang Liang, Jie Shao, “Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion”, In Proceedings of the Fifty-First International Conference on Very Large Data Bases (VLDB) September 1st-5th, 20, 2025, London, United Kingdom (2025). (CCF A类会议)

[4] Huafeng Liu, Yiran Fu, Liping Jing, Hui Li, Shuyang Lin, Jingyue Shi, Deqiang Ouyang*, Jian Yu, “Learning Robust Neural Processes with Risk-Averse Stochastic Optimization”, In Proceedings of the Forty-Second International Conference on Machine Learning (ICML) Jul 13th - 19th, 2025, Vancouver, Canada (2025). (CCF A类会议)

[5] Ning Wang, Weiyang Li, Zhongchi Yang, Zihan Yan, Jialing He, Deqiang Ouyang*, Wei Zhu, Tao Xiang, “Joint Trajectory and Link Quality Prediction in LAENets via Multi-Task Time-Series Large Models”, IEEE Transactions on Cognitive Communications and Networking, 12: 2950-2964, (2025). (中科院一区)

[6] Muquan Li, Hang Gou, Dongyang Zhang, Shuang Liang, Xiurui Xie, Deqiang Ouyang, Ke Qin, “Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation”, In Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS) December 2-7, San Diego, USA (2025). (CCF A类会议)

[7] Yan Gan, Xinyao Xiao, Tao Xiang, Chengqian Wu, Deqiang Ouyang, “SFCM-AEG: Source-Free Cross-Modal Adversarial Example Generation”, IEEE Transactions on Multimedia, 27: 6262 - 6272 (2025). (中科院一区)

[8] Yan Gan, Chengqian Wu, Deqiang Ouyang, Song Tang, Mao Ye, Tao Xiang, “LESEP: Boosting Adversarial Transferability via Latent Encoding and Semantic Embedding Perturbations”, IEEE Transactions on Circuits and Systems for Video Technology 35 (4), 3368 - 3382 (2025). (中科院一区)

[9] Hangjun Che, Xinyu Pu, Deqiang Ouyang*, Beibei Li, “Enhanced Tensorial Self-representation Subspace Learning for Incomplete Multi-view Clustering”, In Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM) pages 719–728, 28 October 2024 - 1 November 2024, Melbourne, VIC, Australia (2024). (CCF A类会议)

[10] Zhenhao Yang, Xin Liu, Deqiang Ouyang, Guiduo Duan, Dongyang Zhang, Tao He, Yuan-Fang Li, “Towards Open-vocabulary HOI Detection with Calibrated Vision-language Models and Locality-aware Queries”, In Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM) pages 1495–1504, 28 October 2024 - 1 November 2024, Melbourne, VIC, Australia (2024). (CCF A类会议)

[11] Feiyu Chen, Jie Shao, Anjie Zhu, Deqiang Ouyang, Xueliang Liu, Heng Tao Shen, “Modeling Hierarchical Uncertainty for Multimodal Emotion Recognition in Conversation”, IEEE Transactions on Cybernetics 54 (1), 187-198 (2024). (中科院一区)

[12] Weiwei Li, Guorong Chen, Xianming Zhang, Ning Wang, Deqiang Ouyang, Chao Chen, “Efficient and Secure Aggregation Framework for Federated-Learning-Based Spectrum Sharing”, IEEE Internet of Things Journal 11 (10), 17223-17236 (2024). (中科院一区)

历届毕业生去向：

2026届硕：张嘉琦（新西兰奥克兰大学）

 李子铭（新西兰奥克兰大学）

刘树锋（国家电网）