publications

2026

1. Preprint KL-MOPD

   KL-MOPD: Discrepancy-Aware Multi-Objective On-Policy Distillation for Generative Recommendation

   Weiqin Yang^†, Yandong Wang^†, Yuan Gao^†, Hao Deng, Jinxin Hu^*, Jing Cao, and Jiawei Chen^*

   Preprint, 2026

   DOI arXiv PDF
2. Preprint BAD

   BAD: Backtracking Autoregressive Decoding in Generative Recommendation

   Zhe Li^†, Weiqin Yang^†, Bohao Wang^†, Haibo Xing, Tongya Zheng, Zulong Chen, Can Wang, and Jiawei Chen^*

   Preprint, 2026
3. Preprint PAT

   PAT: Popularity-Aware Tokenization for Generative Recommendation

   Yue Pan^†, Weiqin Yang^†, Bohao Wang, Xinyu Wang, Jing Cao, and Jiawei Chen^*

   Preprint, 2026
4. Preprint ALPHA

   NDCG@K-Aware Optimization for Generative Recommendation

   Zhenxiang Xu^†, Weiqin Yang^†, Jieyu Yang, Yong He, Ke Ding, Chao Yu, Heng Yao, Chuan Yuan, and Jiawei Chen^*

   Preprint, 2026
5. Preprint PFA

   PFA: Attention Can Be Progressively Focused in Long-Sequence Generative Recommendation

   Pengjie Zhou^†, Weiqin Yang^†, Haibo Xing^†, Hao Deng, and Jinxin Hu^*

   Preprint, 2026
6. Preprint Simba

   Simba: Spending Decoding Compute Where It Matters in Generative Recommendation

   Yuan Gao^†, Weiqin Yang^†, Chunhui Li, Hao Deng, and Jinxin Hu^*

   Preprint, 2026
7. Preprint TrustRS Survey

   Trustworthy Recommendation at the Era of the Large Language Models: Opportunities and Challenges

   Bohao Wang, Yu Cui, Zhenxiang Xu, Jujia Zhao, Chenxiao Fan, Jizhi Zhang, Weiqin Yang, Shengjia Zhang, Sirui Chen, Yang Zhang, Xiaoyan Zhao, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He, and Jiawei Chen^*

   Preprint, 2026

   DOI arXiv PDF
8. Preprint LBR

   LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation

   Hongchen Li, Bohao Wang, Jingbang Chen, Weiqin Yang, Hang Pan, Bingde Hu, Can Wang, and Jiawei Chen^*

   Preprint, 2026
9. Technical Report Astar

   Astar: Learning to Propose Evolution Directions for Self-Evolving Industrial AI Systems

   Jinxin Hu^*, Hao Deng, Haibo Xing, Lingyu Mu, Muyu Zou, Weiqin Yang, Sirui Chen, Bohao Wang, Zhezheng Hao, Hao Zhang, Zulong Chen, Shizhun Wang, Yu Zhang, Xiaoyi Zeng, and Jiawei Chen^*

   Technical Report, 2026

   DOI arXiv PDF
10. KDD ’26 Oral SPRINT

    The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders

    Weiqin Yang^†, Yue Pan^†, Chongming Gao, Sheng Zhou, Xiang Wang, Can Wang, and Jiawei Chen^*

    KDD, 2026

    DOI arXiv PDF Code Poster Slides
11. SIGIR ’26 BEAR

    BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models

    Weiqin Yang, Bohao Wang, Zhenxiang Xu, Jiawei Chen^*, Shengjia Zhang, Jingbang Chen, Canghong Jin, and Can Wang

    SIGIR, 2026

    DOI arXiv PDF Code Slides
12. SIGIR ’26 BLADE

    Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation

    Ruijun Chen, Chongming Gao^*, Jiawei Chen, Weiqin Yang, and Xiangnan He^*

    SIGIR, 2026

    DOI arXiv PDF
13. WWW ’26 Talos

    Talos: Optimizing Top-K Accuracy in Recommender Systems

    Shengjia Zhang^†, Weiqin Yang^†, Jiawei Chen^*, Peng Wu, Yuegang Sun, Gang Wang, Qihao Shi, and Can Wang

    WWW, 2026

    DOI arXiv PDF Code Poster

2025

1. KDD ’25 SL@K

   Breaking the Top-K Barrier: Advancing Top-K Ranking Metrics Optimization in Recommender Systems

   Weiqin Yang, Jiawei Chen^*, Shengjia Zhang, Peng Wu, Yuegang Sun, Yan Feng, Chun Chen, and Can Wang

   KDD, 2025

   DOI arXiv PDF Code Poster Slides Video

2024

1. NeurIPS ’24 PSL

   PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation

   Weiqin Yang, Jiawei Chen^*, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, and Can Wang

   NeurIPS, 2024

   DOI arXiv PDF Code Poster Slides Video WeChat Article Zhihu Article
2. Micro. Biotec.

   Exploring the Secrets of Marine Microorganisms: Unveiling Secondary Metabolites through Metagenomics

   Shaoyu Wang, Xinyan Li, Weiqin Yang, and Ranran Huang^*

   Microbial Biotechnology, 2024

   DOI PDF

2023

1. Front. Microbiol.

   EVMP: Enhancing Machine Learning Models for Synthetic Promoter Strength Prediction by Extended Vision Mutant Priority Framework

   Weiqin Yang^†, Dexin Li^†, and Ranran Huang^*

   Frontiers in Microbiology, 2023

   DOI PDF Code