Ningren Han

According to our database, Ningren Han authored at least 11 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators.

Zhengyang Su, Isay Katsman, Yueqi Wang, Ruining He, Lukasz Heldt, Raghunandan H. Keshavan, Shao-Chuan Wang, Xinyang Yi, Mingyan Gao, Onkar Dalal, Lichan Hong, Ed H. Chi, Ningren Han

CoRR, February, 2026

PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations.

Ruining He, Lukasz Heldt, Lichan Hong, Raghunandan H. Keshavan, Shifan Mao, Nikhil Mehta, Zhengyang Su, Alicia Tsai, Yueqi Wang, Shao-Chuan Wang, Xinyang Yi, Lexi Baugher, Baykal Cakici, Ed H. Chi, Cristos Goodrow, Ningren Han, He Ma, Rómer Rosales, Abby Van Soest, Devansh Tandon, Su-Lin Wu, Weilong Yang, Yilin Zheng

Proceedings of the ACM Web Conference 2026, 2026

2025

Reducing Symbiosis Bias through Better A/B Tests of Recommendation Algorithms.

Jennifer Brennan, Yahu Cong, Yiwei Yu, Lina Lin, Yajun Peng, Changping Meng, Ningren Han, Jean Pouget-Abadie, David M. Holtz

Proceedings of the ACM on Web Conference 2025, 2025

Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates.

Changping Meng, Hongyi Ling, Jianling Wang, Yifan Liu, Shuzhou Zhang, Dapeng Hong, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Haokai Lu, Ningren Han

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

LLM-Powered Nuanced Video Attribute Annotation for Enhanced Recommendations.

Boyuan Long, Yueqi Wang, Hiloni Mehta, Mick Zomnir, Omkar Pathak, Changping Meng, Ruolin Jia, Yajun Peng, Dapeng Hong, Xia Wu, Mingyan Gao, Onkar Dalal, Ningren Han

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems.

Jianling Wang, Yifan Liu, Yinghao Sun, Xuejian Ma, Yueqi Wang, He Ma, Zhengyang Su, Minmin Chen, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Ningren Han, Haokai Lu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

2024

LLMs for User Interest Exploration: A Hybrid Approach.

Jianling Wang, Haokai Lu, Yifan Liu, He Ma, Yueqi Wang, Yang Gu, Shuzhou Zhang, Ningren Han, Shuchao Bi, Lexi Baugher, Ed H. Chi, Minmin Chen

CoRR, 2024

LLMs for User Interest Exploration in Large-scale Recommendation Systems.

Jianling Wang, Haokai Lu, Yifan Liu, He Ma, Yueqi Wang, Yang Gu, Shuzhou Zhang, Ningren Han, Shuchao Bi, Lexi Baugher, Ed H. Chi, Minmin Chen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Country-diverted experiments for mitigation of network effects.

Lina Lin, Changping Meng, Jennifer Brennan, Jean Pouget-Abadie, Ningren Han, Shuchao Bi, Yajun Peng

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2020

Bayesian modeling and computation for analyte quantification in complex mixtures using Raman spectroscopy.

Ningren Han, Rajeev J. Ram

Comput. Stat. Data Anal., 2020

2018

Computational and statistical approaches to optical spectroscopy.

Ningren Han

PhD thesis, 2018