Professional Title：
Position：
Email：hfeng@fudan.edu.cn
Visiting Address：江湾校区交叉二号楼C5025
Tel：31242506
Home Page：http://dspt.fudan.edu.cn
Research Interests
- 图信号处理
- 图机器学习
- 智能电子系统
Awards
上海市教学成果一等奖，2017；二等奖，2022
复旦大学信息科学与工程学院院长奖，2017, 2022
日本大川助成奖，2020
Education and Working Experience
- 2003年7月 毕业于复旦大学电子工程系，获学士学位
- 2006年6月 毕业于复旦大学电子工程系，获硕士学位
- 2014年1月 毕业于复旦大学电子工程系，获博士学位
- 2006/07 至今 复旦大学电子工程系，助教、讲师、副教授
- 2015/10 - 2016/10 Cornell University，访问学者
Teaching
- 本科课程：线性代数（复旦大学优质课程、上海市精品课程），电子系统导论
- 研究生课程：统计学习
Publications
H. Sheng, Q. Shu, H. Feng and B. Hu, "Subset Random Sampling and Reconstruction of Finite Time-Vertex Graph Signals," in IEEE Transactions on Signal and Information Processing over Networks, vol. 11, pp. 1015-1029, 2025
Ye, Rong, Xue-Qin Jiang, Hui Feng, Jian Wang, and Runhe Qiu. "Signed graph learning with hidden nodes." Signal Processing 234 (2025): 109995.
Wu, Sheng, Hang Sheng, Hui Feng, and Bo Hu. "EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection." Advances in Neural Information Processing Systems (NeurIPS) 37 (2024): 120526-120548.
Hang Sheng, Hui Feng, Junhao Yu, Feng Ji, Bo Hu, Sampling theory of jointly bandlimited time-vertex graph signals, Signal Processing, Volume 222, 2024, 109522.
W. Liu, H. Feng, F. Ji and B. Hu, "Online Signed Sampling of Bandlimited Graph Signals," in IEEE Transactions on Signal and Information Processing over Networks, vol. 10, pp. 131-146, 2024.
Z. Zong, H. Feng, F. R. Yu, N. Zhao, T. Yang, and B. Hu, "Optimal Transceiver Design for SWIPT in K-User MIMO Interference Channels," IEEE Tran. Wireless Commun., vol. 15, no. 1, pp. 430--445, 2016.
X. Shi, H. Feng, M. Zhai, T. Yang, and B. Hu, "Infinite Impulse Response Graph Filters in Wireless Sensor Networks," IEEE Signal Process. Lett., vol.22, no.8, pp.1113--1117, 2015.
L. Liu, H. Feng, T. Yang, and B. Hu, "MIMO-OFDM Wireless Channel Prediction by Exploiting Spatial-Temporal Correlation," IEEE Tran. Wireless Commun., vol. 13, no. 1, pp. 310--319, 2014.
Copyrights 2017 © The School of Information Science and Technology, Fudan University