Skip to content

Files

Latest commit

 

History

History
45 lines (38 loc) · 2.82 KB

index.md

File metadata and controls

45 lines (38 loc) · 2.82 KB

Biography

I am currently an AI researcher at Minimax. Before joining Minimax, I worked at Meituan for one year. Before that, I completed my Bachelor's degree in 2016 and earned my Doctoral degree in 2021 at Shanghai Jiao Tong University.

My research interests encompass Large Language Models, Deep Learning and Recommender Systems.

I have served as a reviewer for the following conferences:

  • ICLR: 2025, 2024, 2023, 2022
  • ICML: 2024, 2023, 2022, 2021
  • NeurIPS: 2024, 2023, 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]