Liangjie Hong

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 37

Top Topics

Indirect Effects

Sparse Regression

Collaborative Filtering

Recommender Systems

Top Venues

Publications

Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
Collaborative Large Language Model for Recommender Systems. WWW (2024)
Xinyuan Wang, Liang Wu, Liangjie Hong, Hao Liu, Yanjie Fu
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations. CoRR (2024)
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
Learning to Retrieve for Job Matching. CoRR (2024)
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
Path-Specific Counterfactual Fairness for Recommender Systems. CoRR (2023)
Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
Path-Specific Counterfactual Fairness for Recommender Systems. KDD (2023)
Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
Collaborative Large Language Model for Recommender Systems. CoRR (2023)
Qinyi Zhu, Liang Wu, Qi Guo, Liangjie Hong
Remote Work Optimization with Robust Multi-channel Graph Neural Networks. CoRR (2022)
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. KDD (2022)
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond. SIGKDD Explor. 24 (2) (2022)
Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee
Next-item Recommendation with Sequential Hypergraphs. SIGIR (2020)
Xiaoting Zhao, Raphael Louca, Diane Hu, Liangjie Hong
The Difference Between a Click and a Cart-Add: Learning Interaction-Specific Embeddings. WWW (Companion Volume) (2020)
Ruocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong, Huan Liu
Debiasing Grid-based Product Search in E-commerce. KDD (2020)
Zenan Wang, Xuan Yin, Tianbo Li, Liangjie Hong
Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments. KDD (2020)
Jianling Wang, Raphael Louca, Diane Hu, Caitlin Cellier, James Caverlee, Liangjie Hong
Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce. WSDM (2020)
Md. Mehrab Tanjim, Congzhe Su, Ethan Benjamin, Diane Hu, Liangjie Hong, Julian J. McAuley
Attentive Sequential Models of Latent Intent for Next Item Recommendation. WWW (2020)
Liangjie Hong, Mounia Lalmas
Tutorial on Online User Engagement: Metrics and Optimization. KDD (2020)
Xuan Yin, Liangjie Hong
The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis. KDD (2019)
Raphael Louca, Moumita Bhattacharya, Diane Hu, Liangjie Hong
Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce. RMSE@RecSys (2019)
Nianqiao Ju, Diane Hu, Adam Henderson, Liangjie Hong
A Sequential Test for Selecting the Better Variant: Online A/B testing, Adaptive Allocation, and Continuous Monitoring. WSDM (2019)
Liangjie Hong, Mounia Lalmas
Tutorial on Online User Engagement: Metrics and Optimization. WWW (Companion Volume) (2019)
Andrew Stanton, Akhila Ananthram, Congzhe Su, Liangjie Hong
Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces. CoRR (2019)
Hao Jiang, Aakash Sabharwal, Adam Henderson, Diane Hu, Liangjie Hong
Understanding the Role of Style in E-commerce Shopping. KDD (2019)
Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo
DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. WSDM (2019)
Mounia Lalmas, Liangjie Hong
Tutorial on Metrics of User Engagement: Applications to News, Search and E-Commerce. WSDM (2018)
Liang Wu, Diane Hu, Liangjie Hong, Huan Liu
Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce. SIGIR (2018)
Diane Hu, Raphael Louca, Liangjie Hong, Julian J. McAuley
Learning within-session budgets from browsing trajectories. RecSys (2018)
Xiaoting Zhao, Raphael Louca, Diane Hu, Liangjie Hong
Learning Item-Interaction Embeddings for User Recommendations. CoRR (2018)
Kamelia Aryafar, Devin Guillory, Liangjie Hong
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. ADKDD@KDD (2017)
Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong
On Sampling Strategies for Neural Network-based Collaborative Filtering. CoRR (2017)
Qian Zhao, Yue Shi, Liangjie Hong
GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees. WWW (2017)
Qingyun Wu, Hongning Wang, Liangjie Hong, Yue Shi
Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems. CIKM (2017)
Kamelia Aryafar, Devin Guillory, Liangjie Hong
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. CoRR (2017)
Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong
On Sampling Strategies for Neural Network-based Collaborative Filtering. KDD (2017)
Yue Ning, Yue Shi, Liangjie Hong, Huzefa Rangwala, Naren Ramakrishnan
A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation. RecSys (2017)
Ting Chen, Liangjie Hong, Yue Shi, Yizhou Sun
Joint Text Embedding for Personalized Content-based Recommendation. CoRR (2017)
Liangjie Hong, Adnan Boz
An Unbiased Data Collection and Content Exploitation/Exploration Strategy for Personalization. CoRR (2016)
Liangjie Hong, Yue Shi, Suju Rajan
Learning Optimal Card Ranking from Query Reformulation. CoRR (2016)
Mingjie Qian, Liangjie Hong, Yue Shi, Suju Rajan
Structured Sparse Regression for Recommender Systems. CIKM (2015)
Xing Yi, Liangjie Hong, Erheng Zhong, Nathan Nan Liu, Suju Rajan
Beyond clicks: dwell time for personalization. RecSys (2014)
Zaihan Yang, Liangjie Hong, Brian D. Davison
Academic network analysis: a joint topic modeling approach. ASONAM (2013)
Amr Ahmed, Liangjie Hong, Alexander J. Smola
Hierarchical geographical modeling of user locations from social media posts. WWW (2013)
Liangjie Hong, Aziz S. Doumith, Brian D. Davison
Co-factorization machines: modeling user interests and predicting individual decisions in Twitter. WSDM (2013)
Liangjie Hong, Shuang-Hong Yang
The first workshop on user engagement optimization. CIKM (2013)
Amr Ahmed, Liangjie Hong, Alexander J. Smola
Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling. ICML (3) (2013)
Liangjie Hong
A Tutorial on Probabilistic Latent Semantic Analysis CoRR (2012)
Liangjie Hong, Amr Ahmed, Siva Gurumurthy, Alexander J. Smola, Kostas Tsioutsiouliklis
Discovering geographical topics in the twitter stream. WWW (2012)
Liangjie Hong, Ron Bekkerman, Joseph Adler, Brian D. Davison
Learning to rank social update streams. SIGIR (2012)
Dawei Yin, Liangjie Hong, Brian D. Davison
Structural link analysis and prediction in microblogs. CIKM (2011)
Dawei Yin, Liangjie Hong, Brian D. Davison
Exploiting session-like behaviors in tag prediction. WWW (Companion Volume) (2011)
Liangjie Hong, Dawei Yin, Jian Guo, Brian D. Davison
Tracking trends: incorporating term volume into temporal topic models. KDD (2011)
Liangjie Hong, Ovidiu Dan, Brian D. Davison
Predicting popular messages in Twitter. WWW (Companion Volume) (2011)
Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. Davison
Temporal Dynamics of User Interests in Tagging Systems. AAAI (2011)
Dawei Yin, Liangjie Hong, Xiong Xiong, Brian D. Davison
Link formation analysis in microblogs. SIGIR (2011)
Liangjie Hong, Byron Dom, Siva Gurumurthy, Kostas Tsioutsiouliklis
A time-dependent topic model for multiple text streams. KDD (2011)
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. Davison
A probabilistic model for personalized tag prediction. KDD (2010)
Liangjie Hong, Brian D. Davison
Empirical study of topic modeling in Twitter. SOMA@KDD (2010)
Zaihan Yang, Liangjie Hong, Brian D. Davison
Topic-driven multi-type citation network analysis. RIAO (2010)
Liangjie Hong, Zaihan Yang, Brian D. Davison
Incorporating Participant Reputation in Community-Driven Question Answering Systems. CSE (4) (2009)
Liangjie Hong, Brian D. Davison
A classification-based approach to question answering in discussion boards. SIGIR (2009)
Jian Wang, Liangjie Hong, Brian D. Davison
RSDC'09: Tag Recommendation Using Keywords and Association Rules. DC@PKDD/ECML (2009)