liwj20@mails.tsinghua.edu.cn
Hi! I am a 4th year Ph.D. candidate of computer science at Tsinghua University, supervised by Prof. Shu-Tao Xia (home). I received both my BSc and MSc of Information Security from Southwest Jiaotong Univeristy, supervised by Prof. Xiaohu Tang (home).I'll also be supervised by Prof. Hongzhi Yin on recommender system during my academic visiting to The University of Queensland at the second half of 2024.
My research interests are in Federated Recommender System, Probabilistic Representation Learning and their intersection problems to Graphs, Privacy, and Foundation Models in cross Edge/Cloud scenarios. I am currently focusing on the topic of Cost-Effective Vertical Federated Learning for Multi-Platform Collaborative Recommendation (CAI24') and am always open to collaborations or discussions on related problems or modeling tools. Welcome to email me :)2022.11 - Present, Research Intern, @Meituan.
responsible for a project of Vertical Federated Recommendation.
2021.6 - 2022.11, Research Intern, @Tencent.
responsible for a project of Vertical Federated Advertising.
2018.5 - 2018.8, Data Engineer Intern, @Alibaba Group.
[2024.07] Invited Talk By Meituan Tech Team for Multi-Platform Recommendation via Retrieval-Enhanced Vertical Federated Learning
[2022.10] Invited Talk on IJCAI-2022 China FL workshop for Vertical Federated Advertising
[2020.11] Invited Talk on NeurIPS-2020 special event of AI Technology Review for Deep Gaussian Processes over Graphs
[2022.9-2023.9] Founding Committee Member of Student Chapter of Shenzhen City Computer Federation (SZCCF)
[2021-2022] Oteam Code Contributor of Tencent Federated Learning System Angel PowerFL
ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit
Wenjie Li, Zhongren Wang, Jinpeng Wang, Shu-Tao Xia
Jile Zhu, Mingjian Chen, Jiangke Fan, Jia Cheng, Jun Lei
SIGIR 2024 (Oral)
Retrieval-Augmented Vertical Federated Learning for Recommender System
Wenjie Li, Zhongren Wang, Jianghui Zhang, Chenghui Song, Shu-Tao Xia
Jile Zhu, Mingjian Chen, Jiangke Fan, Jia Cheng, Jun Lei
FL-SIGIR 2023
Vertical Semi-Federated Learning for Efficient Online Advertising
Wenjie Li, Qiaolin Xia, Hao Cheng, Kouying Xue, Shu-Tao Xia
FL-IJCAI 2023
Achieving Lightweight Federated Advertising with Self-Supervised Split Distillation
Wenjie Li, Qiaolin Xia, Junfeng Deng, Hao Cheng, Jiangming Liu, Kouying Xue, Yong Cheng, Shu-Tao Xia
FL-IJCAI 2022
Theoretically Principled Federated Learning for Balancing Privacy and Utility
Xiaojin Zhang, Wenjie Li, Kai Chen, Shu-tao Xia, Qiang Yang
arXiv, 2023
A Game-theoretic Utility Model for Federated Learning
Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
ACM TIST, 2023
Stochastic Deep Gaussian Processes over Graphs
Naiqi Li*, Wenjie Li*(co-first), Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia
NeurIPS 2020
Deep Dirichlet Process Mixture Models
Naiqi Li*, Wenjie Li*(co-first), Yong Jiang, Shu-Tao Xia
UAI 2022
Node-level Graph Regression with Deep Gaussian Process Models
Naiqi Li*, Wenjie Li*(co-first), Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia
IEEE TAI, 2023
SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting
Wenjie Li, Xue Yang, Xiaohu Tang, Shutao Xia
IJCNN 2020
H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression
Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia
ICASSP 2021
一种基于无标签对齐样本对比预训练的纵向联邦学习框架
夏乔林, 李文杰, 成昊, 夏树涛
授权中国发明专利, 授权号:CN114239863B, (香港专利已授权,US Patent审查中)
一种面向纵向联邦学习的知识蒸馏方法
邓俊锋, 夏乔林, 成昊, 李文杰
授权中国发明专利, 授权号:CN115034836B
一种基于联邦学习的隐私保护方法、存储介质及系统
夏树涛, 杨雪, 冯岩, 李文杰, 方伟军, 唐小虎
中国发明专利, 公开号:CN112199702A
对应论文:一种精度无损的联邦模型保护方法(TheWebConf 2022)
Academic Scholarship of THU-SIGS , Tsinghua University, 2023.
Rhino-bird Elite (TOP 5%), Tencent, 2022.
National Scholarship 2015
Semester Special Scholarship of SWJTU 2015
The 5th National Undergraduate E-commerce Competition, The First-class Prize & The Best Start-up Prize