Jiaxi Tang

Staff Software Engineer at Google DeepMind

jiaxit AT google DOT com

Short Bio

I am now at Google DeepMind working on recommendation and personalization for various Google products (including Ads and YouTube). I obtained my Ph.D. from School of Computing Science, Simon Fraser University, advised by Prof. Ke Wang. My research interests focus on data mining and applied machine learning with special interest on building intelligent recommendation system. Before joining Simon Fraser University, I obtained my B.Eng. in Software Engineering from Wuhan University.
[LinkedIn] [GitHub] [Google Scholar]

Experiences

06/2020-Present Software Engineer, Google DeepMind (previously Google Brain), Google Inc.

06/2019-09/2019 Research Intern, Google Brain, Google Inc.

05/2018-07/2018 Software Engineering Intern, Research & Machine Intelligence, Google Inc.

Academic Services

Conference Program Committee
KDD 19' 20' 21' 23', RecSys 21' 22' 23', WSDM 23', WWW 22' 23'

Journal Reviewer
TKDE, WWWJ, JCST

Selected Publications

(* denotes equal contribution)

Improving Training Stability for Multitask Ranking Models in Recommender Systems
Jiaxi Tang*, Yoel Drori*, Daryl Chang*, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
KDD 2023 (ADS track, Best Paper Award)
[PDF] [Slides] [Code]

Understanding and Improving Knowledge Distillation
Jiaxi Tang, Rakesh Shivanna, Zhe Zhao, Dong Lin, Anima Singh, Ed H. Chi, Sagar Jain
Manuscript 2020
[PDF]

Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
Jiaxi Tang, Hongyi Wen, Ke Wang
RecSys 2020
[PDF] [Code]

Towards Neural Mixture Recommender for Long Range Dependent User Sequences
Jiaxi Tang*, Francois Belletti*, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi
TheWebConf (WWW) 2019
[PDF] [Poster]

Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
Jiaxi Tang, Ke Wang
KDD 2018
[PDF] [Slides] [Poster] [Code]

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
Jiaxi Tang, Ke Wang
WSDM 2018
[PDF] [Poster] [Code]