About Me

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).

Industry Experiences

• 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.

Professional Services & Activities

• Program Committee Member of MM-2024, FL-CVPR2024, UAI-2024, IJCAI-24, ICLR-2024, WWW-2024(Ind.), DASFAA-24, NeurIPS-2023, UAI-2023, AAAI-2022, WWW-2022(Ind.), ICML-2022 (The 1st Pre-training Workshop)

• Invited Talk on IJCAI-2022 China FL workshop for Vertical Federated Advertising

• Invited Talk on NeurIPS-2020 special event of AI Technology Review for Deep Gaussian Processes over Graphs

• Founding Committee Member of Student Chapter of Shenzhen City Computer Federation (SZCCF)

• Oteam Code Contributor of Tencent Federated Learning System Angel PowerFL

Researches

Federated Learning

1. 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 Long Paper

2. 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

3. Vertical Semi-Federated Learning for Efficient Online Advertising
   Wenjie Li, Qiaolin Xia, Hao Cheng, Kouying Xue, Shu-Tao Xia
   FL-IJCAI 2023

4. 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

5. Theoretically Principled Federated Learning for Balancing Privacy and Utility
   Xiaojin Zhang, Wenjie Li, Kai Chen, Shu-tao Xia, Qiang Yang
   arXiv, 2023

6. A Game-theoretic Utility Model for Federated Learning
   Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
   ACM TIST, 2023

Bayesian & Graphs

1. Stochastic Deep Gaussian Processes over Graphs
   Naiqi Li*, Wenjie Li*(co-first), Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia
   NeurIPS 2020

2. Deep Dirichlet Process Mixture Models
   Naiqi Li*, Wenjie Li*(co-first), Yong Jiang, Shu-Tao Xia
   UAI 2022

3. 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

4. SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting
   Wenjie Li, Xue Yang, Xiaohu Tang, Shutao Xia
   IJCNN 2020

5. H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression
   Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia
   ICASSP 2021

Patents

1. 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)

2. 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

3. 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)

Awards

• Academic Scholarship of THU-SIGIS , 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