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2020 – today
- 2024
[c16]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: 5723-5730- [c15]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 in Large-scale Recommendation Systems. RecSys 2024: 872-877 - [c14]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: 636-644 - [c13]Jianling Wang, Haokai Lu, Minmin Chen:
Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs. WSDM 2024: 1186-1187 - [c12]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: 726-729 - [i4]Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen:
Large Language Models as Data Augmenters for Cold-Start Item Recommendation. CoRR abs/2402.11724 (2024) - [i3]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 abs/2405.16363 (2024) - 2023
- [c11]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: 5082-5091 - [i2]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 abs/2305.07764 (2023) - [i1]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 abs/2306.01720 (2023)
2010 – 2019
- 2018
- [c10]Wei Niu, James Caverlee, Haokai Lu:
Location-Sensitive User Profiling Using Crowdsourced Labels. AAAI 2018: 386-393 - [c9]Yin Zhang, Haokai Lu, Wei Niu, James Caverlee:
Quality-aware neural complementary item recommendation. RecSys 2018: 77-85 - [c8]Haokai Lu, Wei Niu, James Caverlee:
Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization. SIGIR 2018: 205-214 - [c7]Wei Niu, James Caverlee, Haokai Lu:
Neural Personalized Ranking for Image Recommendation. WSDM 2018: 423-431 - 2017
- [c6]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: 743-752 - 2016
- [c5]Wei Niu, James Caverlee, Haokai Lu, Krishna Yeswanth Kamath:
Community-based geospatial tag estimation. ASONAM 2016: 279-286 - [c4]Haokai Lu, James Caverlee, Wei Niu:
Discovering What You're Known For: A Contextual Poisson Factorization Approach. RecSys 2016: 253-260 - [c3]Hancheng Ge, James Caverlee, Haokai Lu:
TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation. RecSys 2016: 261-268 - 2015
- [c2]Haokai Lu, James Caverlee, Wei Niu:
BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media. CIKM 2015: 213-222 - [c1]Haokai Lu, James Caverlee:
Exploiting Geo-Spatial Preference for Personalized Expert Recommendation. RecSys 2015: 67-74 - 2012
- [j2]Haokai Lu, Peng Li:
Stochastic projective methods for simulating stiff chemical reacting systems. Comput. Phys. Commun. 183(7): 1427-1442 (2012) - [j1]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: 317-331 (2012)
Coauthor Index
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