Stochastic projective methods for simulating stiff chemical reacting systems. - Haokai Lu; Peng Li 001 (Comput. Phys. Commun., 2012)

Linking brain behavior to underlying cellular mechanisms via large-scale brain modeling and simulation. - Yong Zhang 049; Boyuan Yan; Mingchao Wang; Jingzhen Hu; Haokai Lu; Peng Li 001 (Neurocomputing, 2012)

BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media. - Haokai Lu; James Caverlee; Wei Niu 003 (CIKM, 2015)

Exploiting Geo-Spatial Preference for Personalized Expert Recommendation. - Haokai Lu; James Caverlee (RecSys, 2015)

Community-based geospatial tag estimation. - Wei Niu 003; James Caverlee; Haokai Lu; Krishna Yeswanth Kamath (ASONAM, 2016)

TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation. - Hancheng Ge; James Caverlee; Haokai Lu (RecSys, 2016)

Discovering What You're Known For: A Contextual Poisson Factorization Approach. - Haokai Lu; James Caverlee; Wei Niu 003 (RecSys, 2016)

What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints. - Cheng Cao; Hancheng Ge; Haokai Lu; Xia Hu 001; James Caverlee (SIGIR, 2017)

Location-Sensitive User Profiling Using Crowdsourced Labels. - Wei Niu 003; James Caverlee; Haokai Lu (AAAI, 2018)

Quality-aware neural complementary item recommendation. - Yin Zhang 011; Haokai Lu; Wei Niu 003; James Caverlee (RecSys, 2018)

Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization. - Haokai Lu; Wei Niu 003; James Caverlee (SIGIR, 2018)

Neural Personalized Ranking for Image Recommendation. - Wei Niu 003; James Caverlee; Haokai Lu (WSDM, 2018)

Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. - 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; et al. (KDD, 2023)

Value of Exploration: Measurements, Findings and Algorithms. - Yi Su; Xiangyu Wang; Elaine Ya Le; Liang Liu 017; Yuening Li; Haokai Lu; Benjamin Lipshitz; Sriraj Badam; Lukasz Heldt; Shuchao Bi; Ed H. Chi; Cristos Goodrow; et al. (CoRR, 2023)

Multi-Task Neural Linear Bandit for Exploration in Recommender Systems. - Yi Su; Haokai Lu; Yuening Li; Liang Liu 017; Shuchao Bi; Ed H. Chi; Minmin Chen (KDD, 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 (RecSys, 2024)

Long-Term Value of Exploration: Measurements, Findings and Algorithms. - Yi Su; Xiangyu Wang; Elaine Ya Le; Liang Liu 017; Yuening Li; Haokai Lu; Benjamin Lipshitz; Sriraj Badam; Lukasz Heldt; Shuchao Bi; Ed H. Chi; Cristos Goodrow; et al. (WSDM, 2024)

Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs. - Jianling Wang; Haokai Lu; Minmin Chen (WSDM, 2024)

Large Language Models as Data Augmenters for Cold-Start Item Recommendation. - Jianling Wang; Haokai Lu; James Caverlee; Ed H. Chi; Minmin Chen (WWW (Companion Volume), 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)

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; et al. (CoRR, 2025)

Serendipitous Recommendation with Multimodal LLM. - Haoting Wang; Jianling Wang; Hao Li; Fangjun Yi; Mengyu Fu; Youwei Zhang; Yifan Liu; Liang Liu 017; Minmin Chen; Ed H. Chi; Lichan Hong; Haokai Lu (CoRR, 2025)