Haokai Lu

According to our database, Haokai Lu authored at least 17 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Large Language Models as Data Augmenters for Cold-Start Item Recommendation.

Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen

CoRR, 2024

Fresh Content Recommendation at Scale: A Multi-funnel Solution and the Potential of LLMs.

Jianling Wang, Haokai Lu, Minmin Chen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Long-Term Value of Exploration: Measurements, Findings and Algorithms.

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

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Value of Exploration: Measurements, Findings and Algorithms.

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

CoRR, 2023

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, Minmin Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2018

Neural Personalized Ranking for Image Recommendation.

Wei Niu, James Caverlee, Haokai Lu

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization.

Haokai Lu, Wei Niu, James Caverlee

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Quality-aware neural complementary item recommendation.

Yin Zhang, Haokai Lu, Wei Niu, James Caverlee

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Location-Sensitive User Profiling Using Crowdsourced Labels.

Wei Niu, James Caverlee, Haokai Lu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints.

Cheng Cao, Hancheng Ge, Haokai Lu, Xia Hu, James Caverlee

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016

Discovering What You're Known For: A Contextual Poisson Factorization Approach.

Haokai Lu, James Caverlee, Wei Niu

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation.

Hancheng Ge, James Caverlee, Haokai Lu

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Community-based geospatial tag estimation.

Wei Niu, James Caverlee, Haokai Lu, Krishna Yeswanth Kamath

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Exploiting Geo-Spatial Preference for Personalized Expert Recommendation.

Haokai Lu, James Caverlee

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media.

Haokai Lu, James Caverlee, Wei Niu

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2012

Linking brain behavior to underlying cellular mechanisms via large-scale brain modeling and simulation.

Yong Zhang, Boyuan Yan, Mingchao Wang, Jingzhen Hu, Haokai Lu, Peng Li

Neurocomputing, 2012

Stochastic projective methods for simulating stiff chemical reacting systems.

Haokai Lu, Peng Li

Comput. Phys. Commun., 2012