Biography

I am currently a machine learning researcher at Meituan. Before joining Meituan, I completed my Bachelor’s degree in 2016 and earned my Doctoral degree in 2021 from the Department of Computer Science and Engineering at Shanghai Jiao Tong University.

My research interests encompass deep learning, recommender systems, and natural language processing.

I have served as a reviewer for the following conferences:

• ICLR: 2023, 2022
• ICML: 2023, 2022, 2021
• NeurIPS: 2022, 2021, 2020
• AAAI: 2022, 2021

Publications

1. RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction.
   Yanyan Shen, Lifan Zhao, Weiyu Cheng, Zibin Zhang, Wenwen Zhou, Kangyi Lin
   TOIS 2022. (Transactions on Information Systems, August 2022). [Paper]
2. AutoSrh: An Embedding Dimensionality Search Framework for Tabular Data Prediction.
   Shuming Kong, Weiyu Cheng, Yanyan Shen, Linpeng Huang
   TKDE 2022. (IEEE Transactions on Knowledge & Data Engineering, June 2022, vol. 01, no. 01, pp. 1-14, 5555.)
3. Dual-Embedding based Deep Latent Factor Models for Recommendation.
   Weiyu Cheng, Yanyan Shen, Linpeng Huang, Yanmin Zhu
   TKDD 2021. (ACM Trans. Knowl. Discov. Data 15, 5, Article 85, April 2021, 24 pages.) [Paper]
4. Differentiable Neural Input Search for Recommender Systems.
   Weiyu Cheng, Yanyan Shen, Linpeng Huang
   Arxiv. (June 2020) [Paper]
5. Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions.
   Weiyu Cheng, Yanyan Shen, Linpeng Huang
   AAAI 2020. (Full, Acceptance rate: 20.6%) [Paper]
6. Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis.
   Weiyu Cheng, Yanyan Shen, Linpeng Huang, Yanmin Zhu
   KDD 2019. (Full, Research Track, Acceptance rate: 14.1%) [Paper]
7. DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation.
   Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang
   IJCAI 2018. (Full, Acceptance rate: 20.5%) [Paper]
8. A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations.
   Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang
   AAAI 2018. (Full, Acceptance rate: 24.6%) [Paper]
9. LADD: A Length-Adaptive Approach to Detecting Taxi Anomalous Detours.
   Xuansheng Lu, Weiyu Cheng, Yanyan Shen, Yanmin Zhu
   ICPADS 2019. [Paper]