Zhen Wang

I am currently a researcher working for DAMO Academy. During the years of my Ph.D. (as an intern at MSRA), I have pursued the goal of embedding everything (entity, word, sentence, paragraph, etc.). In my experience as an engineer for Alibaba Cloud, I have been lucky to work with people from RISELab who kindly acknowledge my contributions and let me become a committer of Ray. I have a broad interest in machine learning. At the moment, our team is focused on federated learning and working on platforms, benchmarks, and research problems that are related to it.


Sun Yat-sen University, Guangzhou, Guangdong, China

  • Ph.D., Computer Applied Technology, Sep 2012 - Jun 2017
  • B.E., Software Engineering, Sep 2008 - Jun 2012

Research Experience

Microsoft Research Asia (MSRA), Beijing, China

  • Research Intern, Data Mining and Enterprise Intelligence Group, Mentor: Dr. Jun Yan and Dr. Wei-Ying Ma, Feb 2016 – Apr 2017
    • Data-driven metaphor learning (demo)
  • Research Intern, Machine Learning Group, Mentor: Dr. Jianwen Zhang and Dr. Zheng Chen, Oct 2013 – Jan 2016
    • Fact-based Q&A (demo)
    • Heterogenous data embedding (product)
  • Research Intern, Web Search and Mining Group, Mentor: Dr. Zhongyuan Wang and Dr. Haixun Wang, Oct 2011 – Jun 2012
    • Fact extraction from Web tables (demo)
    • Short text representation (product)

Alibaba group and Tsinghua University joint post-doc, Advisor: Dr. Jingren Zhou and Dr. Minlie Huang, Nov 2018 - present

  • Reinforcement learning in E-commerce scenarios (ongoing)

Publications (google scholar)

  • Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu. MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. CIKM 2022 Full Paper.
  • Yaliang Li, Bolin Ding, Zhen Wang, Yuexiang Xie, Dawei Gao, Liuyi Yao, Daoyuan Chen, Weirui Kuang, Hongzhu Shi, Jingren Zhou. A Practical Introduction to Federated Learning. KDD 2022 Tutorial (website)
  • Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou. FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD 2022 Full Paper.
  • Zhen Wang, Yaliang Li, Zhewei Wei, Weirui Kuang, Bolin Ding. Graph Neural Networks with Node-wise Architecture. KDD 2022 Full Paper.
  • Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding. Finding Meta Winning Ticket to Train Your MAML., KDD 2022 Full Paper.
  • Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding. iFlood: A Stable and Effective Regularizer. ICLR 2022 Full Paper.
  • Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang. Explainable Neural Rule Learning. WWW 2022 Full Paper.
  • Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han. KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW 2022 Full Paper.
  • Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Ce Zhang, Kai Zeng, Rong Zhu. AutoML: From Methodology to Application. CIKM 2021 Tutorial (website).
  • Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Ce Zhang. AutoML: A Perspective where Industry Meets Academy. KDD 2021 Tutorial (website).
  • Yuexiang Xie*, Zhen Wang*, Yaliang, Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou. FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD 2021 Full Paper.
  • Zhao Li, Junshuai Song, Zehong Hu, Zhen Wang, Jun Gao. Constrained Dual-level Bandit for Personalized Impression Regulation in Online Ranking Systems., TKDD 2021.
  • Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, and Jingren Zhou. AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI 2020 Full Paper.
  • Fei Xiao, Zhen Wang, Haikuan Huang, Jun Huang, Xi Chen, Hongbo Deng, Minghui Qiu. AliISA: Creating an Interactive Search Experience in E-commerce Platforms. SIGIR 2019 Demo.
  • Zehong Hu, Zhen Wang, Zhao Li, Shichang Hu, Shasha Ruan, Jie Zhang. Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits. AAMAS 2019 Full Paper.
  • Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang. Chapter 5 of Artificial Intelligence for Prosthetics-challenge solutions. NurIPS 2018 RL Challenge Tech Report.
  • Huaping Zhong, Jianwen Zhang, Zhen Wang, Hai Wan, Zheng Chen. Aligning Knowledge and Text Embeddings by Entity Descriptions. EMNLP 2015 Short Paper.
  • Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. Knowledge Graph and Text Jointly Embedding. EMNLP 2014 Full Paper.
  • Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. Knowledge Graph Embedding by Translating on Hyperplanes. AAAI 2014 Full Paper.

(*Equal contribution.)

Awards & Scholarships

  • KDD Cup, AutoML Track, 4/149, May 2020 (our solution)
  • NeurIPS RL Challenge 5/427, Nov 2018 (our solution)
  • National Scholarship, Sep 2014
  • Silver Medal in ACM/ICPC Asia Regional Contest, Oct 2011
  • National Scholarship, Sep 2009

Working Experience

Alibaba Group, Hangzhou, Zhejiang, China

  • Algorithm Expert (P7), Data Analytics and Intelligence Lab, June 2020 - present

    • FederatedScope: a federated learning platform with an event-driven programming paradigm.
    • FederatedScope-GNN: a federated graph learning package.
    • FedHPO-B: a federated HPO benchmark suite.
  • Algorithm Expert (P7), Deep Learning Algorithm Division, July 2019 - May 2020

    • Neural architecture search utilities: DARTS, ASAP, ProxylessNAS, etc.
    • Auto feature engineering utilities: AutoCross and some RL-based search strategies
    • EasyRL: TensorFlow-based RL package
  • Senior Algorithm Engineer (P6), Large Scale Learning-Innovative Algorithm Division, July 2017 - June 2019

    • Double 11 bundle recommendation business: a model for CTR prediction
    • A3gent: an internal deep reinforcement learning package
    • Ray: I contribute the implementations of several RL algorithms, e.g., DDPG, Rainbow, and MARWIL, to Ray RLLib and become a committer
    • Fraud regularization and flow control: constrained contextual bandit
    • Interactive shopping assistant: hierarchical reinforcement learning


  • Programming languages: Python
  • Machine leanring libraries: TensorFlow, PyTorch
  • Foreign language: English (CET-6 certification)