Haokai Lu

27 papers A* 5A 10B 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
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 J jnl
Serendipitous Recommendation with Multimodal LLM.
CoRR
Haoting Wang, Jianling Wang, Hao Li, Fangjun Yi, Mengyu Fu, Youwei Zhang, Yifan Liu, Liang Liu, Minmin Chen, Ed H. Chi, Lichan Hong, Haokai Lu
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
Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs.
WSDM
Jianling Wang, Haokai Lu, Minmin Chen
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
2024 — conf
Large Language Models as Data Augmenters for Cold-Start Item Recommendation.
WWW (Companion Volume)
Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
2024 J jnl
Large Language Models as Data Augmenters for Cold-Start Item Recommendation.
CoRR
Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
2024 A conf
Long-Term Value of Exploration: Measurements, Findings and Algorithms.
WSDM
Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen
2024 A* conf
Multi-Task Neural Linear Bandit for Exploration in Recommender Systems.
KDD
Yi Su, Haokai Lu, Yuening Li, Liang Liu, Shuchao Bi, Ed H. Chi, Minmin Chen
2023 A* conf
Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation.
KDD
Jianling Wang, Haokai Lu, Sai Zhang, Bart N. Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed H. Chi, Cristos J. Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen
2023 J jnl
Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation.
CoRR
Jianling Wang, Haokai Lu, Sai Zhang, Bart N. Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen
2023 J jnl
Value of Exploration: Measurements, Findings and Algorithms.
CoRR
Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen
2018 A* conf
Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization.
SIGIR
Haokai Lu, Wei Niu, James Caverlee
2018 A* conf
Location-Sensitive User Profiling Using Crowdsourced Labels.
AAAI
Wei Niu, James Caverlee, Haokai Lu
2018 A conf
Neural Personalized Ranking for Image Recommendation.
WSDM
Wei Niu, James Caverlee, Haokai Lu
2018 A conf
Quality-aware neural complementary item recommendation.
RecSys
Yin Zhang, Haokai Lu, Wei Niu, James Caverlee
2017 A* conf
What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints.
SIGIR
Cheng Cao, Hancheng Ge, Haokai Lu, Xia Hu, James Caverlee
2016 B conf
Community-based geospatial tag estimation.
ASONAM
Wei Niu, James Caverlee, Haokai Lu, Krishna Yeswanth Kamath
2016 A conf
Discovering What You're Known For: A Contextual Poisson Factorization Approach.
RecSys
Haokai Lu, James Caverlee, Wei Niu
2016 A conf
TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation.
RecSys
Hancheng Ge, James Caverlee, Haokai Lu
2015 A conf
BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media.
CIKM
Haokai Lu, James Caverlee, Wei Niu
2015 A conf
Exploiting Geo-Spatial Preference for Personalized Expert Recommendation.
RecSys
Haokai Lu, James Caverlee
2012 J jnl
Linking brain behavior to underlying cellular mechanisms via large-scale brain modeling and simulation.
Neurocomputing
Yong Zhang, Boyuan Yan, Mingchao Wang, Jingzhen Hu, Haokai Lu, Peng Li
2012 J jnl
Stochastic projective methods for simulating stiff chemical reacting systems.
Comput. Phys. Commun.
Haokai Lu, Peng Li