Haokai Lu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 17

Top Topics

Poisson Processes

Item Recommendation

Perfect Phylogeny

Top Venues

Publications

Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
Large Language Models as Data Augmenters for Cold-Start Item Recommendation. WWW (Companion Volume) (2024)
Jianling Wang, Haokai Lu, Minmin Chen
Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs. WSDM (2024)
Yi Su, Haokai Lu, Yuening Li, Liang Liu, Shuchao Bi, Ed H. Chi, Minmin Chen
Multi-Task Neural Linear Bandit for Exploration in Recommender Systems. KDD (2024)
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
Long-Term Value of Exploration: Measurements, Findings and Algorithms. WSDM (2024)
Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
Large Language Models as Data Augmenters for Cold-Start Item Recommendation. CoRR (2024)
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
LLMs for User Interest Exploration: A Hybrid Approach. CoRR (2024)
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
Value of Exploration: Measurements, Findings and Algorithms. CoRR (2023)
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
Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. CoRR (2023)
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
Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. KDD (2023)
Wei Niu, James Caverlee, Haokai Lu
Location-Sensitive User Profiling Using Crowdsourced Labels. AAAI (2018)
Yin Zhang, Haokai Lu, Wei Niu, James Caverlee
Quality-aware neural complementary item recommendation. RecSys (2018)
Haokai Lu, Wei Niu, James Caverlee
Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization. SIGIR (2018)
Wei Niu, James Caverlee, Haokai Lu
Neural Personalized Ranking for Image Recommendation. WSDM (2018)
Cheng Cao, Hancheng Ge, Haokai Lu, Xia Hu, James Caverlee
What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints. SIGIR (2017)
Wei Niu, James Caverlee, Haokai Lu, Krishna Yeswanth Kamath
Community-based geospatial tag estimation. ASONAM (2016)
Hancheng Ge, James Caverlee, Haokai Lu
TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation. RecSys (2016)
Haokai Lu, James Caverlee, Wei Niu
Discovering What You're Known For: A Contextual Poisson Factorization Approach. RecSys (2016)
Haokai Lu, James Caverlee
Exploiting Geo-Spatial Preference for Personalized Expert Recommendation. RecSys (2015)
Haokai Lu, James Caverlee, Wei Niu
BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media. CIKM (2015)
Haokai Lu, Peng Li
Stochastic projective methods for simulating stiff chemical reacting systems. Comput. Phys. Commun. 183 (7) (2012)
Yong Zhang, Boyuan Yan, Mingchao Wang, Jingzhen Hu, Haokai Lu, Peng Li
Linking brain behavior to underlying cellular mechanisms via large-scale brain modeling and simulation. Neurocomputing 97 (2012)