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.