2026 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 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 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 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 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 Preprint TrustRec 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 2025 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 Video Code Poster Slides 2024 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 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 Video Code Poster Slides 2023 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