Wenjie Li
|
|
(Phone): +86 132-2815-0080
|
(Homepage) https://still2009.github.io
|
|
(mail): liwj20@mails.tsinghua.edu.cn
|
Education Experience
|
PhD ·
|
Tsinghua University - Computer Science, Prof. Shutao Xia
|
2020~2025
|
·
|
The University of Queensland - Computer Science, Prof. Hongzhi Yin
|
2024~2025
|
Master ·
|
Southwest Jiao Tong University - Information Security, Prof. Xiaohu Tang
|
2016~2019
|
Bachelor ·
|
Southwest Jiao Tong University - Information Security
|
2012~2016
|
Awards and Honors
|
Scholarship:
|
Rhino-bird Elite from Tencent (TOP 5%)
|
|
|
College Scholarship from Tsinghua University.
|
|
National Scholarship from Chinese Ministry of Education.
|
|
Top-level College Scholarship from Southwest Jiao Tong University
|
Competition:
|
The 5th National Undergraduate E-commerce Competition (The 1st & Best Start-up Prize)
|
|
The 8th China International Software Design and Application Competition (The 2nd Prize)
|
|
The 11th May Day Mathematics Modeling Contest (The 3rd Prize)
|
Representative Works
|
(5 / 12, detailed in homepage)
|
Venue
|
Probabilistic ML:
|
Deep Gaussian Processes over Graphs
|
NeurIPS, CCF-A
|
|
Deep Dirichlet Process Mixture Models
|
UAI, CORE*-A
|
RecSys & FL:
|
ReFer: Retrieval-Enhanced Vertical FedRec for Full set user benefit
|
SIGIR, CCF-A
|
|
Vertical Semi-Federated Learning for Efficient Online Advertising (w)
|
IJCAI, CCF-A
|
|
Semi-Supervised Federaterd Advertising with Partial Knowlege Transfer (w)
|
IJCAI, CCF-A
|
Technical Experiences
|
|
Meituan
|
Research Intern (Project Technical Lead)
|
2022/11~2024/5
|
|
· Responsible for R&D of VFedRec in business, got 2 CCF-A (from multi-tracks) paper accepted.
|
|
· Developed the 1st RA-VFL model for advertising and achieves SOTA on industry and public data.
|
|
Tencent
|
Research Intern (Talent Program, Top5%)
|
2021/6~2022/10
|
|
· Responsible for R&D of Federated Ad in Tencent Game. Produced 2 papers and 2 patent.
|
|
· Developed pioneering SSL and KD method for Federated AdRec, and effective for industry data.
|
|
Alibaba
|
Data Engineer Intern
|
2017/10~2018/1
|
|
· Responsible for Tmall&Taobao SKU big data analysis and a modeling task for an internal system.
|
|
· Achieved task performance lift via RF model; Delivered insightful reports for SKUs using Spark.
|
|
A Project of Mobile Location Big Data Mining
|
(Student Technical Lead)
|
2017/10~2018/1
|
|
· A Horizontal Project aims for location data-based global traffic analysis report for government planning. Responsible for the building and maintaining of project distributed platform infrastructures (Hadoop/Hive/Spark), trajectory data preprosssing, location clustering, stay-point identificationy
|
|
Other Academic Experiences
|
|
|
· Served as Official PC member of NeurIPS-2024, ICLR-2024, UAI-2025/2024/2023, WWW-2025/2024/2022, IJCAI-2024, MM-2024, DASFAA-2024, AAAI-2022, etc.
|
|
· Led or closely collaborated on multiple funding applications, including projects supported by NSFC, Tencent, and Meituan.
|
|
|
|
|