Zhaohuan ZHAN
Lecturer of Faculty of Engineering at SMBU
Email：zhan.z@smbu.edu.cn
詹昭焕
深圳北理莫斯科大学工程系 讲师
Dr. Zhaohuan ZHAN received his Ph.D. from Sun Yat-sen University in 2024, primarily focusing on research and teaching in the fields of embodied intelligence and multimodal information processing. He published numerous papers in relevant journals and conferences, including top-tier venues in artificial intelligence such as IEEE TCSVT, Neurocomputing, and CVPR, among others. He also serves as a reviewer for important journals and conferences, including Information Fusion, IEEE TCSVT, ICCV, ACM MM, Neurocomputing, and The Visual Computer.
2024年在中山大学获得博士学位，主要从事具身智能、多模态信息处理等领域的科研和教学工作。在相关领域期刊和会议上发表多篇论文，其中包括人工智能顶级期刊及会议IEEE TCSVT、Neurocomputing、CVPR等。担任Information Fusion、IEEE TCSVT、ICCV、ACM MM、Neurocomputing、The visual computer等重要刊物和会议审稿人。
教育背景
2019年9月-2024年12月：中山大学，计算机科学与技术，博士
2016年9月-2019年6月：四川大学，信息与通信工程，硕士
2012年9月-2016年6月：东北大学，自动化，学士
研究方向
具身智能、多模态信息处理、计算机视觉
招生信息
研究生招生：招收计算机、人工智能和自动化相关专业研究生，提供算力、机器人和无人机等硬件平台支持，欢迎对具身智能感兴趣的同学联系我。
基本要求：1.务实的科研态度，具有自我驱动力；2.良好的编程能力。
本科生招生：招收有志于具身智能方向科学研究、科研竞赛的本科生。
基本要求：1.持之以恒的科研态度，参与定期讨论。
Selected papers
[1] Zhaohuan Zhan, Jinghui Qin, Wei Zhuo, and Guang Tan, Enhancing vision and language navigation with prompt-based scene knowledge, IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(10):9745 - 9756.
[2] Zhaohuan Zhan, Liang Lin, and Guang Tan, Object-aware navigation for remote embodied visual referring expression, Neurocomputing, 2023, 515: 68-78.
[3] Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, and Xiaodan Liang, Vision-dialog navigation by exploring cross-modal memory, IEEE/CVF conference on computer vision and pattern recognition, 2020, 10730-10739.
[4] Songchen Han, Zhaohuan Zhan, Wei Li, and Xinyan Zhang, Recurrently exploiting co-saliency of target for part-based visual tracking, EURASIP Journal on Advances in Signal Processing, 2019, (2019): 1-12.
[5] Songchen Han, Bihao Zhang, Wei Li, and Zhaohuan Zhan, Moving Object Detection for Airport Scene Using Patterns of Motion and Appearance, Journal of Aerospace Information Systems, 2021, 18(11): 852-859.
[6] 詹昭焕, 韩松臣, 李炜, 余丽莎, 基于倾向流和深度学习的机场运动目标检测, 交通信息与安全, 2019, 1:49-57.
