Liangjie Hong

74 papers A* 23A 16B 1Journal 20Unranked 13
YearRankTypeTitle / Venue / Authors
2025 — conf
A Scalable and Efficient Signal Integration System for Job Matching.
KDD (2)
Ping Liu, Rajat Arora, Xiao Shi, Benjamin Le, Qianqi Shen, Jianqiang Shen, Chengming Jiang, Nikita Zhiltsov, Priya Bannur, Yidan Zhu, Liming Dong, Haichao Wei, Qi Guo, Luke Simon, Liangjie Hong, Wenjing Zhang
2025 J jnl
A Scalable and Efficient Signal Integration System for Job Matching.
CoRR
Ping Liu, Rajat Arora, Xiao Shi, Benjamin Le, Qianqi Shen, Jianqiang Shen, Chengming Jiang, Nikita Zhiltsov, Priya Bannur, Yidan Zhu, Liming Dong, Haichao Wei, Qi Guo, Luke Simon, Liangjie Hong, Wenjing Zhang
2025 A* conf
Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables.
ICLR
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2025 — conf
CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture.
EMNLP (Findings)
Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li
2025 J jnl
LANTERN: Scalable Distillation of Large Language Models for Job-Person Fit and Explanation.
CoRR
Zhoutong Fu, Yihan Cao, Yi-Lin Chen, Aman Lunia, Liming Dong, Neha Saraf, Ruijie Jiang, Yun Dai, Qingquan Song, Tan Wang, Guoyao Li, Derek Koh, Haichao Wei, Zhipeng Wang, Aman Gupta, Chengming Jiang, Jianqiang Shen, Liangjie Hong, Wenjing Zhang
2025 J jnl
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations.
ACM Trans. Intell. Syst. Technol.
Xinyuan Wang, Liang Wu, Liangjie Hong, Hao Liu, Yanjie Fu
2025 A conf
Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems.
CIKM
Ping Liu, Jianqiang Shen, Qianqi Shen, Chunnan Yao, Kevin Kao, Dan Xu, Rajat Arora, Baofen Zheng, Caleb Johnson, Liangjie Hong, Jingwei Wu, Wenjing Zhang
2025 J jnl
Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems.
CoRR
Ping Liu, Jianqiang Shen, Qianqi Shen, Chunnan Yao, Kevin Kao, Dan Xu, Rajat Arora, Baofen Zheng, Caleb Johnson, Liangjie Hong, Jingwei Wu, Wenjing Zhang
2025 A conf
Scaling Retrieval for Web-Scale Recommenders: Lessons from Inverted Indexes to Embedding Search.
RecSys
Yuchin Juan, Jianqiang Shen, Shaobo Zhang, Qianqi Shen, Caleb Johnson, Luke Simon, Liangjie Hong, Wenjing Zhang
2025 J jnl
SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens.
CoRR
Yinhan He, Wendy Zheng, Yaochen Zhu, Zaiyi Zheng, Lin Su, Sriram Vasudevan, Qi Guo, Liangjie Hong, Jundong Li
2024 A* conf
Collaborative Large Language Model for Recommender Systems.
WWW
Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2024 J jnl
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations.
CoRR
Xinyuan Wang, Liang Wu, Liangjie Hong, Hao Liu, Yanjie Fu
2024 A conf
Learning Links for Adaptable and Explainable Retrieval.
CIKM
Jianqiang Shen, Yuchin Juan, Ping Liu, Wen Pu, Shaobo Zhang, Qianqi Shen, Liangjie Hong, Wenjing Zhang
2024 J jnl
Learning to Retrieve for Job Matching.
CoRR
Jianqiang Shen, Yuchin Juan, Shaobo Zhang, Ping Liu, Wen Pu, Sriram Vasudevan, Qingquan Song, Fedor Borisyuk, Kay Qianqi Shen, Haichao Wei, Yunxiang Ren, Yeou S. Chiou, Sicong Kuang, Yuan Yin, Ben Zheng, Muchen Wu, Shaghayegh Gharghabi, Xiaoqing Wang, Huichao Xue, Qi Guo, Daniel Hewlett, Luke Simon, Liangjie Hong, Wenjing Zhang
2024 A conf
Understanding and Modeling Job Marketplace with Pretrained Language Models.
CIKM
Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li
2024 J jnl
Understanding and Modeling Job Marketplace with Pretrained Language Models.
CoRR
Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li
2023 J jnl
Collaborative Large Language Model for Recommender Systems.
CoRR
Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023 A* conf
Path-Specific Counterfactual Fairness for Recommender Systems.
KDD
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023 J jnl
Path-Specific Counterfactual Fairness for Recommender Systems.
CoRR
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2022 A* conf
Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond.
KDD
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
2022 J jnl
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond.
SIGKDD Explor.
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
2022 J jnl
Remote Work Optimization with Robust Multi-channel Graph Neural Networks.
CoRR
Qinyi Zhu, Liang Wu, Qi Guo, Liangjie Hong
2020 A* conf
Attentive Sequential Models of Latent Intent for Next Item Recommendation.
WWW
Md. Mehrab Tanjim, Congzhe Su, Ethan Benjamin, Diane Hu, Liangjie Hong, Julian J. McAuley
2020 A* conf
Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments.
KDD
Zenan Wang, Xuan Yin, Tianbo Li, Liangjie Hong
2020 A* conf
Debiasing Grid-based Product Search in E-commerce.
KDD
Ruocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong, Huan Liu
2020 A* conf
Next-item Recommendation with Sequential Hypergraphs.
SIGIR
Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee
2020 — conf
The Difference Between a Click and a Cart-Add: Learning Interaction-Specific Embeddings.
WWW (Companion Volume)
Xiaoting Zhao, Raphael Louca, Diane Hu, Liangjie Hong
2020 A conf
Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce.
WSDM
Jianling Wang, Raphael Louca, Diane Hu, Caitlin Cellier, James Caverlee, Liangjie Hong
2020 A* conf
Tutorial on Online User Engagement: Metrics and Optimization.
KDD
Liangjie Hong, Mounia Lalmas
2019 A conf
A Sequential Test for Selecting the Better Variant: Online A/B testing, Adaptive Allocation, and Continuous Monitoring.
WSDM
Nianqiao Ju, Diane Hu, Adam Henderson, Liangjie Hong
2019 A conf
DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.
WSDM
Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo
2019 — conf
Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce.
RMSE@RecSys
Raphael Louca, Moumita Bhattacharya, Diane Hu, Liangjie Hong
2019 J jnl
Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces.
CoRR
Andrew Stanton, Akhila Ananthram, Congzhe Su, Liangjie Hong
2019 A* conf
The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis.
KDD
Xuan Yin, Liangjie Hong
2019 — conf
Tutorial on Online User Engagement: Metrics and Optimization.
WWW (Companion Volume)
Liangjie Hong, Mounia Lalmas
2019 A* conf
Understanding the Role of Style in E-commerce Shopping.
KDD
Hao Jiang, Aakash Sabharwal, Adam Henderson, Diane Hu, Liangjie Hong
2018 J jnl
Learning Item-Interaction Embeddings for User Recommendations.
CoRR
Xiaoting Zhao, Raphael Louca, Diane Hu, Liangjie Hong
2018 A conf
Learning within-session budgets from browsing trajectories.
RecSys
Diane Hu, Raphael Louca, Liangjie Hong, Julian J. McAuley
2018 A* conf
Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce.
SIGIR
Liang Wu, Diane Hu, Liangjie Hong, Huan Liu
2018 A conf
Tutorial on Metrics of User Engagement: Applications to News, Search and E-Commerce.
WSDM
Mounia Lalmas, Liangjie Hong
2017 A conf
A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation.
RecSys
Yue Ning, Yue Shi, Liangjie Hong, Huzefa Rangwala, Naren Ramakrishnan
2017 — conf
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy.
ADKDD@KDD
Kamelia Aryafar, Devin Guillory, Liangjie Hong
2017 J jnl
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy.
CoRR
Kamelia Aryafar, Devin Guillory, Liangjie Hong
2017 A* conf
GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees.
WWW
Qian Zhao, Yue Shi, Liangjie Hong
2017 J jnl
Joint Text Embedding for Personalized Content-based Recommendation.
CoRR
Ting Chen, Liangjie Hong, Yue Shi, Yizhou Sun
2017 A* conf
On Sampling Strategies for Neural Network-based Collaborative Filtering.
KDD
Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong
2017 J jnl
On Sampling Strategies for Neural Network-based Collaborative Filtering.
CoRR
Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong
2017 A conf
Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems.
CIKM
Qingyun Wu, Hongning Wang, Liangjie Hong, Yue Shi
2016 J jnl
An Unbiased Data Collection and Content Exploitation/Exploration Strategy for Personalization.
CoRR
Liangjie Hong, Adnan Boz
2016 J jnl
Learning Optimal Card Ranking from Query Reformulation.
CoRR
Liangjie Hong, Yue Shi, Suju Rajan
2015 A conf
Structured Sparse Regression for Recommender Systems.
CIKM
Mingjie Qian, Liangjie Hong, Yue Shi, Suju Rajan
2014 A conf
Beyond clicks: dwell time for personalization.
RecSys
Xing Yi, Liangjie Hong, Erheng Zhong, Nathan Nan Liu, Suju Rajan
2013 B conf
Academic network analysis: a joint topic modeling approach.
ASONAM
Zaihan Yang, Liangjie Hong, Brian D. Davison
2013 A conf
Co-factorization machines: modeling user interests and predicting individual decisions in Twitter.
WSDM
Liangjie Hong, Aziz S. Doumith, Brian D. Davison
2013 A* conf
Hierarchical geographical modeling of user locations from social media posts.
WWW
Amr Ahmed, Liangjie Hong, Alexander J. Smola
2013 — conf
Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling.
ICML (3)
Amr Ahmed, Liangjie Hong, Alexander J. Smola
2013 — ed.
Proceedings of the 1st workshop on User engagement optimization, UEO@CIKM 2013, San Francisco, California, USA, November 1, 2013
UEO@CIKM
Liangjie Hong, Shuang-Hong Yang
2013 A conf
The first workshop on user engagement optimization.
CIKM
Liangjie Hong, Shuang-Hong Yang
2012 J jnl
A Tutorial on Probabilistic Latent Semantic Analysis
CoRR
Liangjie Hong
2012 A* conf
Discovering geographical topics in the twitter stream.
WWW
Liangjie Hong, Amr Ahmed, Siva Gurumurthy, Alexander J. Smola, Kostas Tsioutsiouliklis
2012 A* conf
Learning to rank social update streams.
SIGIR
Liangjie Hong, Ron Bekkerman, Joseph Adler, Brian D. Davison
2011 A* conf
A time-dependent topic model for multiple text streams.
KDD
Liangjie Hong, Byron Dom, Siva Gurumurthy, Kostas Tsioutsiouliklis
2011 — conf
Exploiting session-like behaviors in tag prediction.
WWW (Companion Volume)
Dawei Yin, Liangjie Hong, Brian D. Davison
2011 A* conf
Link formation analysis in microblogs.
SIGIR
Dawei Yin, Liangjie Hong, Xiong Xiong, Brian D. Davison
2011 — conf
Predicting popular messages in Twitter.
WWW (Companion Volume)
Liangjie Hong, Ovidiu Dan, Brian D. Davison
2011 A conf
Structural link analysis and prediction in microblogs.
CIKM
Dawei Yin, Liangjie Hong, Brian D. Davison
2011 A* conf
Temporal Dynamics of User Interests in Tagging Systems.
AAAI
Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. Davison
2011 A* conf
Tracking trends: incorporating term volume into temporal topic models.
KDD
Liangjie Hong, Dawei Yin, Jian Guo, Brian D. Davison
2010 A* conf
A probabilistic model for personalized tag prediction.
KDD
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. Davison
2010 — conf
Empirical study of topic modeling in Twitter.
SOMA@KDD
Liangjie Hong, Brian D. Davison
2010 — conf
Topic-driven multi-type citation network analysis.
RIAO
Zaihan Yang, Liangjie Hong, Brian D. Davison
2009 A* conf
A classification-based approach to question answering in discussion boards.
SIGIR
Liangjie Hong, Brian D. Davison
2009 — conf
Incorporating Participant Reputation in Community-Driven Question Answering Systems.
CSE (4)
Liangjie Hong, Zaihan Yang, Brian D. Davison
2009 — conf
RSDC'09: Tag Recommendation Using Keywords and Association Rules.
DC@PKDD/ECML
Jian Wang, Liangjie Hong, Brian D. Davison