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