Yunfeng Li (李云峰)
Bio
Yunfeng Li is a 3rd year PhD student at the Department of Electronics and Information Engeneering @ SZU; Research Assistant at the Department of Electrical and Electronic Engeneering @ HKU; Research Scholar at the Department of Computer Science, UC Santa Barbara. Starting from 2016. He got his B.E. @ JXNU. At SZU, Yunfeng is working with Prof Shengli Zhang. At HKU, Yunfeng is working with Prof Yunhe Hou. At UCSB, Yunfeng is working with Prof Yufei Ding. Yunfeng’s research interests include high-performance computing, Federated Learning, Quamtum Computing and end-to-end optimization for deep learning.
Motto: “Try to learn something about everything and everything about something.”
—Thomas Henry Huxley (1825 - 1895)
“已欲立而立人,已欲达而达人”
— Confucius (551 BC - 479 BC)
Below are some of his recent projects:
- Cyber Security detection based on Ensemble Learning.
- Privacy Protection based on Federated Learning.
- Photovoltaic Power Forecasting With a Hybrid Deep Learning.
- System design for Deep Learning Recommendation Model (DLRM).
Award & Honors
- [01/12/21] Innovation and Entrepreneurship Mentor of Shenzhen University.
- [15/10/21] Expert of Science and Technology Innovation Bureau, Longgang District, Shenzhen.
- [27/12/22] Nominated by Shenzhen Young Entrepreneur Person.
- [15/11/15] National second-level athlete.
News
- [06/22/21] Our EL-Rec paper has been accepted to SC’22.
- [06/09/22] Our Faith paper has been accepted to USENIX ATC’22.
Internship
- [06/2022-09/2022] Research Intern, Pacific Northwest National Laboratory (PNNL).
- [11/2020-01/2021] Engineering Intern, Tencent.
Project
- [05/2019-05/2022] Research on AI sports equipment and VR sports products in Guoheng Technology Group (Shenzhen) Co., Ltd.
- [07/2019-01/2015] Research on intelligent stadium system and physical education system in Jiangxi Cale Sports Industry Co., Ltd..
Professional Services
- [06/2022] SIGCOMM’22 Artifact Evaluation Committee Member
- [05/2020] IEEE student member
- [04/2022] Teaching Assistant of CS160 (Translation of Programming Languages)
Publication
[Energy’2021] Yunfeng Li, Wenli Xue, Ting Wu, Huaizhi Wang,Bin Zhoue, Saddam Aziz. Intrusion detection of cyber physical energy system based on multivariate ensemble classification.
[IEEE’2021] Yunfeng Li, Xiaolin Li, Gangqiang Li, Zhitao Li. Privacy Protection in Prosumer Energy Management Based on Federated Learning.
[IEEE’2021] Gangqiang Li, Sen Xie, Bozhong Wang, Jiantao Xin, Yunfeng Li, Shengnan Du. Photovoltaic Power Forecasting With a Hybrid Deep Learning Approach.