赵振杰，博士
南开大学人工智能学院，副教授
天津市智能机器人技术重点实验室，机器人与信息自动化研究所
教育与工作经历
2008.09-2012.06 南开大学 自动化 工学学士
2012.09-2015.06 南开大学 控制理论与控制工程 工学硕士
2016.09-2020.11 香港科技大学 计算机科学及工程学 工学博士
2015.07-2016.05 虹软科技有限公司 图像算法组 研发工程师
2016.06-2016.08 香港科技大学 计算机科学及工程学系 研究助理
2019.09-2019.11 马里兰大学帕克分校 计算机科学系 访问学者
2021.12-2025.06 南开大学 人工智能学院 博士后
2025.07- 南开大学 人工智能学院 副教授
研究兴趣
具身智能，基础模型，博弈智能
科研项目
1. 基于文本驱动的室内机器人多任务学习研究，国家自然科学基金青年项目，项目负责人，30万；
2. 面向******开发，横向项目，项目负责人，85.14 万；
3. 多机编队保持与切换算法，横向项目，项目负责人，25万；
4. 基于电子病历数据针对老年患者的药品不良反应的提及识别与诊断算法，横向项目，项目负责人，12万；
5. 江苏省“双创博士”资助项目（新一代信息技术产业），项目负责人，15 万；
6. ******传递机器人关键技术研究，国家级课题，项目参与人，200万；
7. 面向复杂拓扑结构的脑网络表征学习方法，国家自然科学基金面上项目，项目参与人，50万。
学术论著
期刊论文：
1. H. Yu, X. Zhang*, Z. Zhao, and C. He. Trustworthy Robotic Grasping: A Credibility Alignment Framework via Self-regulation Encoding, IEEE/ASME Transactions on Mechatronics, 2025, accepted, doi: 10.1109/TMECH.2025.3598989.
2. C. He, Z. Zhao*, X. Zhang, H. Yu, and R. Wang. RotInv-PCT: Rotation-Invariant Point Cloud Transformer via Feature Separation and Aggregation, Neural Networks, 2025, 185: 107723.
3. Z. Zhao, H. Yu, H. Wu*, and X. Zhang*. Bio-inspired Affordance Learning for 6-DoF Robotic Grasping: A Transformer-based Global Feature Encoding Approach, Neural Networks, 2024, 171: 332-242.
4. Z. Zhao* and X. Ma. Designing an Artificial Agent for Cognitive Apprenticeship Learning of Elevator Pitch in Virtual Reality, IEEE Transactions on Cognitive and Developmental Systems, 2022, 14(3): 857-868.
5. Z. Zhao* and X. Ma. ShadowPlay2.5D: A 360-Degree Video Authoring Tool for Immersive Appreciation of Classical Chinese Poetry, ACM Journal on Computing and Cultural Heritage, 2020, 5: 1-20.
6. 赵振杰, 方勇纯*, 张雪波. 一种基于筛选机制的快速概率占据图目标定位算法. 机器人, 2016, 38(1): 17-26.
7. Z. Zhao, X. Zhang*, Y. Fang. Stacked Multilayer Self-organizing Map for Background Modeling, IEEE Transactions on Image Processing, 2015, 24(9): 2841-2850.
会议论文：
1. C. He, Z. Zhao* and X. Zhang, SemSegGrasp: Plug-and-play Task-oriented Grasping via Semantic Segmentation, 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 2025.
2. H. Lu and Z. Zhao*, SH-RAG: A Syntax-Based Hierarchical Retrieval-Augmented Generation Framework for Handling Syntactic Complexity in Literary Machine Translation, 2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025.
3. C. He, X. Zhang*, and Z. Zhao, FaRo-PPF: Fast and Robust Point Pair Feature for 6D Pose Estimation in Industrial Stamping, 2023 International Conference on Advanced Robotics and Mechatronics (ICARM), Sanya, China, 2023.
4. Z. Zhao*, Y. Hou, D. Wang, M. Yu, C. Liu, and X. Ma, Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), Dublin, Ireland, 2022.
5. Z. Zhao*, M. Sun, and X. Ma, Meta-Reinforcement Learning for Mastering Multiple Skills and Generalizing across Environments in Text-based Games, Proceedings of the 1st Workshop on Meta Learning and Its Applications to Natural Language Processing, Online, 2021.
6. Z. Zhao*, E. Papalexakis, and X. Ma, Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Online, 2020.
7. Z. Zhao* and X. Ma, Situated Learning of Soft Skills with an Interactive Agent in Virtual Reality via Multimodal Feedback, Adjunct Publication of the 33rd Annual ACM Symposium on User Interface Software and Technology (UIST), Online, 2020.
8. Z. Zhao* and X. Ma, Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, 2019.
9. Z. Zhao*, A. Cattle, E. Papalexakis, and X. Ma, Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, 2019.
10. M. Sun*, Z. Zhao, and X. Ma, Sensing and Handling Engagement Dynamics in Human-Robot Interaction Involving Peripheral Computing Devices, Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI), Denver, Colorado, 2017.
专利：
1. 刘逸凡, 赵振杰. 一种基于虚拟现实的无人机集群控制方法, 发明专利. 专利号：ZL202410813339.7. (已授权)
2. 张雪波, 于杭, 赵振杰. 机器人抓取点检测方法、系统、介质、设备及程序产品, 发明专利. 专利号：ZL202411139228.9. (已授权)
3. 张雪波, 何程, 赵振杰, 王润花. 基于特征分离和聚合的旋转不变点云特征提取方法, 发明专利. 专利号：ZL202411255347.0. (已授权)
学术兼职
中国自动化学会博弈智能专业委员会（筹），委员
中文信息学会大模型与生成专业委员会，委员
IEEE控制系统协会离散事件系统技术专业委员会，委员
中文信息学会情感计算专业委员会，委员
中国人工智能学会智能信息网络专业委员会，委员
审稿：IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Industrial Informatics, Science China Information Sciences, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Automation Science and Engineering, Frontiers of Mechanical Engineering, Journal of Field Robotics, ICML, NeurIPS, ICLR, AAAI, ACL, EMNLP, NAACL, AISTATS, ICAPS, CSCW, CHI, 3DV 等
联系方式
· E-mail: zzhaoao@nankai.edu.cn
