Shanlei Mu   /   牟善磊

I am currently an algorithm engineer in Alimama Tech at Alibaba Group.

I received my master degree in June 2022, at School of Information, Renmin University of China, advised by Professor Wayne Xin Zhao. I received my B.E. degree in Computer Science and Technology from School of Information, Renmin University of China in June 2019.

Email: slmu AT ruc.edu.cn

GitHub  /  Google Scholar  /  Zhihu

I'm interested in computational advertising and information retrieval. More precisely, my research focuses include:

• multi-scenario/behavior recommendation and advertising algorithms
• structural knowledge-aware recommender system
• representation learning

Experience

• 2022.07 - Now, Advertising Algorithm Engineer, Alimama Tech, Alibaba

• 2021.01 - 2021.08, Research Intern, DAMO Academy, Alibaba

  Data Analytics and Intelligence Lab, with Yaliang Li.

• 2018.08 - 2018.10, Software Engineer Intern, Shannon.AI (startup)

Education

• 2019.09 - 2022.06, M.E., School of Information, Renmin University of China

• 2015.09 - 2019.06, B.E., School of Information, Renmin University of China

RecBole is developed based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose. Welcome to use our toolkit!

Note: Authors marked with * are equal contributions.

• Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking.
  Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang and Bo Zheng
  CIKM, 2023
  

• ID-Agnostic User Behavior Pre-training for Sequential Recommendation.
  Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li and Bolin Ding
  CCIR, 2022. Best Paper Candidate.
  

• RecBole 2.0: Towards a More Up-to-Date Recommendation Library.
  Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen and Ji-Rong Wen
  CIKM, 2022, Resource Track. Best Resource Paper Runner-up.
  

• Towards Universal Sequence Representation Learning for Recommender Systems.
  Yupeng Hou*, Shanlei Mu*, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
  KDD, 2022
  

• Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator.
  Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding and Ji-Rong Wen
  SIGIR, 2022
  

• Knowledge-Guided Disentangled Representation Learning for Recommender Systems.
  Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li and Ji-Rong Wen
  TOIS, 2022
  

• Debiasing Learning based Cross-domain Recommendation.
  Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding and Ji-Rong Wen
  KDD, 2021, Applied Data Science Track
  

• RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms.
  Wayne Xin Zhao, Shanlei Mu*, Yupeng Hou*, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang and Ji-Rong Wen
  CIKM, 2021, Resource Track
  

• An In-Depth Benchmarking Study on Bill of Materials for High-End Manufacturing.
  Yurui Wang, Shanlei Mu, Feiran Huang, Wei Lu and Yueguo Chen
  ER, 2018
  

• Outstanding Graduate, Beijing, 2022.

• National Scholarship for Graduate Students of China (Highest National Scholarship), 2021.

Last update: Apr 2023      Template