Ningren Han - RankMe

15 papers A* 2A 4Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations. WWW 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
2026	J	`jnl`	Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators. CoRR 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
2025	A	`conf`	Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates. RecSys 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
2025	J	`jnl`	Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates. CoRR 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
2025	A	`conf`	LLM-Powered Nuanced Video Attribute Annotation for Enhanced Recommendations. RecSys 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
2025	J	`jnl`	LLM-Powered Nuanced Video Attribute Annotation for Enhanced Recommendations. CoRR 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
2025	J	`jnl`	PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations. CoRR 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
2025	A*	`conf`	Reducing Symbiosis Bias through Better A/B Tests of Recommendation Algorithms. WWW Jennifer Brennan, Yahu Cong, Yiwei Yu, Lina Lin, Yajun Peng, Changping Meng, Ningren Han, Jean Pouget-Abadie, David M. Holtz
2025	—	`conf`	User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems. ACL (6) 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
2025	J	`jnl`	User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems. CoRR 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
2024	A	`conf`	Country-diverted experiments for mitigation of network effects. RecSys Lina Lin, Changping Meng, Jennifer Brennan, Jean Pouget-Abadie, Ningren Han, Shuchao Bi, Yajun Peng
2024	A	`conf`	LLMs for User Interest Exploration in Large-scale Recommendation Systems. RecSys 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
2024	J	`jnl`	LLMs for User Interest Exploration: A Hybrid Approach. CoRR 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
2020	J	`jnl`	Bayesian modeling and computation for analyte quantification in complex mixtures using Raman spectroscopy. Comput. Stat. Data Anal. Ningren Han, Rajeev J. Ram
2018	—	`—`	Computational and statistical approaches to optical spectroscopy. Ningren Han