Yanhua Huang is currently a tech lead at Xiaohongshu, working on generative and multimodal recommendation. His focus is on large-scale machine learning for recommender systems. He has published papers in top-tier conference proccedings, including KDD, ICLR, and SIGIR. Before Xiaohongshu, he spent two years at Baidu for Feed recommendation and four years at East China Normal University for his Bachelor's degree in the Department of Mathematics.

Publications

A Metric for MLLM Alignment in Large-scale Recommendation
Yubin Zhang*, Yanhua Huang*, Haiming Xu, Mingliang Qi, Chang Wang, Jiarui Jin, Xiangyuan Ren, Xiaodan Wang, Ruiwen Xu
RecSys 2025 Workshop on Evaluating and Applying RecSys with LLMs
[Paper]

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units
Chao Hao, Zezheng Wang, Yanhua Huang, Ruiwen Xu, Wenzhe Niu, Xin Liu, Zitong Yu
EMNLP 2025
[Paper]

Towards Large-scale Generative Ranking
Yanhua Huang, Yuqi Chen, Xiong Cao, Rui Yang, Mingliang Qi, Yinghao Zhu, Qingchang Han, Yaowei Liu, Zhaoyu Liu, Xuefeng Yao, Yuting Jia, Leilei Ma, Yinqi Zhang, Taoyu Zhu, Liujie Zhang, Lei Chen, Weihang Chen, Min Zhu, Ruiwen Xu, Lei Zhang
KDD 2025 Workshop on GenAI for RecSys and Personalization
[Paper]

Learning Harmonized Representations for Speculative Sampling
Lefan Zhang, Xiaodan Wang, Yanhua Huang, Ruiwen Xu
ICLR 2025
[Paper] [Code] [Weight]

AlignRec: Aligning and Training in Multimodal Recommendations
Yifan Liu*, Kangning Zhang*, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Yong Yu, Weinan Zhang
CIKM 2024
[Paper]

Neural Statistics for Click-Through Rate Prediction
Yanhua Huang*, Hangyu Wang*, Yiyun Miao, Ruiwen Xu, Lei Zhang, Weinan Zhang
SIGIR 2022
[Paper]

Efficient Reinforcement Learning Development with RLzoo
Zihan Ding, Tianyang Yu, Hongming Zhang, Yanhua Huang, Guo Li, Quancheng Guo, Luo Mai, Hao Dong
ACM Multimedia 2021 (Open Source Software Competition)
[Paper]

Sliding Spectrum Decomposition for Diversified Recommendation
Yanhua Huang, Weikun Wang, Lei Zhang, Ruiwen Xu
KDD 2021
[Paper]

Deep Reinforcement Learning: Fundamentals, Research, and Applications
Hao Dong, Zihan Ding, Shanghang Zhang, Hang Yuan, Hongming Zhang, Jingqing Zhang, Yanhua Huang, Tianyang Yu, Huaqing Zhang, Ruitong Huang
Springer Nature 2020
[Homepage]

Posts

• [A Puzzle about Random Connection](posts/pdf/Nov 2016 - A Puzzle about Random Connection.pdf)

• [Trust Region](posts/pdf/Jun 2018 - Trust Region.pdf)

• [Coding Methods in Text Compression](posts/pdf/Mar 2020 - Coding Methods in Text Compression.pdf)

• [Notes on the Theory of Machine Learning](posts/pdf/Oct 2020 - Notes on the Theory of Machine Learning.pdf)

Others

• Open Source Contributions: PyTorch, TensorFlow, RLZoo

• Academic Services: Reviewer of WWW/KDD/ICLR/SIGIR/WSDM