张继，电子科技大学计算机学院特聘副教授，2024年博士毕业于电子科技大学。研究方向为多模态学习、具身智能。
以第一/通讯作者身份在 TPAMI、TIP、IJCV、CVPR、中国科学：信息科学等知名期刊和会议上发表论文20余篇。
主持国自然青年基金项目、博士后项目 (特别资助、面上、国资计划B档) 以及 GF 横向项目等8项。
获得ACM MM'26 青少年精神疾病预测挑战赛全球冠军、EILM'25 最佳论文奖、ACM Chengdu 新星奖等荣誉奖励7项。编写中/英文教材3部。
相关成果在四川省地震局、中国电科等多家单位的核心业务场景中落地应用，取得了一定的社会经济效益。
Associate Professor, University of Electronic Science and Technology of China
[Google Scholar]
[GitHub]
Email: jizhang.jim@gmail.com
WeChat (微信): Enjoy_Every_Episode
I am Ji Zhang (张继), an Associate Professor with the School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC),
where I am currently a key member of Prof. Lianli Gao's research team.
I received my Ph.D. degree in 2024 from the School of Computer Science and Engineering, UESTC, where I was very fortunate to be advised by Prof. Jingkuan Song and Prof. Lianli Gao.
My research interests include, but are not limited to:
- Robot Learning: Developing robust learning algorithms that enable autonomous agents to acquire complex manipulation skills and interact seamlessly with physical environments.
- Multimodal Learning: Leveraging large-scale multimodal pre-training to develop versatile models capable of cross-modal reasoning and continual learning.
- Computer Vision: Tackling fundamental challenges in visual perception, including object recognition, few-shot learning and OOD/noise detection.
Open Positions
- There are 1-2 (resp. 3-4) openings for PhD (resp. Master) students with relevant research experience on Robot Learning, Multimodal Learning, and Computer Vision. Candidates are expected to have publications in top conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, RSS, ICRA, CoRL, etc.) or high-impact journals (TPAMI, IJCV, TIP, TMM, etc.). Qualified candidates are welcome to apply.
- I am looking for 2-3 interns working on Robot Learning and Multimodal Learning. Please feel free to email me with your CV if you are interested.
Miscellaneous
When I have spare time, I enjoy hiking, running and cooking.
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