A Probabilistic Topic Model for Unsupervised Learning of Musical Key-Profiles. - Diane Hu; Lawrence K. Saul (ISMIR, 2009)

Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development. - Diane Hu; Laurens van der Maaten; Youngmin Cho; Lawrence K. Saul; Sorin Lerner (NIPS, 2010)

Toward Robust Material Recognition for Everyday Objects. - Diane Hu; Liefeng Bo; Xiaofeng Ren (BMVC, 2011)

Probabilistic topic models for automatic harmonic analysis of music. - Diane Hu (2012)

Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce. - Diane Hu; Rob Hall 001; Josh Attenberg (KDD, 2014)

Targeted Content for a Real-Time Activity Feed: For First Time Visitors to Power Users. - Diane Hu; Tristan Schneiter (WWW (Companion Volume), 2015)

Using impedance to track fracture healing rates in mice in vivo: A pilot study. - Monica C. Lin; Diane Hu; Frank Yang; Safa T. Herfat; Chelsea S. Bahney; Meir Marmor; Michel M. Maharbiz (EMBC, 2017)

Learning within-session budgets from browsing trajectories. - Diane Hu; Raphael Louca; Liangjie Hong; Julian J. McAuley (RecSys, 2018)

Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce. - Liang Wu 006; Diane Hu; Liangjie Hong; Huan Liu 001 (SIGIR, 2018)

Learning Item-Interaction Embeddings for User Recommendations. - Xiaoting Zhao; Raphael Louca; Diane Hu; Liangjie Hong (CoRR, 2018)

Understanding the Role of Style in E-commerce Shopping. - Hao Jiang; Aakash Sabharwal; Adam Henderson; Diane Hu; Liangjie Hong (KDD, 2019)

Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce. - Raphael Louca; Moumita Bhattacharya; Diane Hu; Liangjie Hong (RMSE@RecSys, 2019)

A Sequential Test for Selecting the Better Variant: Online A/B testing, Adaptive Allocation, and Continuous Monitoring. - Nianqiao Ju; Diane Hu; Adam Henderson; Liangjie Hong (WSDM, 2019)

Generalized and Scalable Optimal Sparse Decision Trees. - Jimmy Lin; Chudi Zhong; Diane Hu; Cynthia Rudin; Margo I. Seltzer (ICML, 2020)

Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce. - Jianling Wang; Raphael Louca; Diane Hu; Caitlin Cellier; James Caverlee; Liangjie Hong (WSDM, 2020)

Attentive Sequential Models of Latent Intent for Next Item Recommendation. - Md. Mehrab Tanjim; Congzhe Su; Ethan Benjamin; Diane Hu; Liangjie Hong; Julian J. McAuley (WWW, 2020)

The Difference Between a Click and a Cart-Add: Learning Interaction-Specific Embeddings. - Xiaoting Zhao; Raphael Louca; Diane Hu; Liangjie Hong (WWW (Companion Volume), 2020)

Generalized Optimal Sparse Decision Trees. - Jimmy Lin; Chudi Zhong; Diane Hu; Cynthia Rudin; Margo I. Seltzer (CoRR, 2020)

Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce. - Xu Liu 016; Congzhe Su; Amey Barapatre; Xiaoting Zhao; Diane Hu; Chu-Cheng Hsieh; Jingrui He (IEEE Data Eng. Bull., 2021)

Adaptive Bandit Cluster Selection for Graph Neural Networks. - Ghadir Ayache; Thomas Hugues; Chris Xu; Julia Zhang; Diane Hu (IEEECONF, 2022)

Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. - Yingqiang Ge; Xiaoting Zhao; Lucia Yu; Saurabh Paul; Diane Hu; Chu-Cheng Hsieh; Yongfeng Zhang (WSDM, 2022)

Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning. - Yingqiang Ge; Xiaoting Zhao; Lucia Yu; Saurabh Paul; Diane Hu; Chu-Cheng Hsieh; Yongfeng Zhang (CoRR, 2022)

Quantifying Exploration Preference for E-Commerce Recommendation. - Amy B. Z. Zhang; Siyun Wang; Raphael Louca; Karl Ni; Diane Hu (ORSUM@RecSys, 2023)

Robotically Controlled Head Oscillations During Overground Walking: A Comparison of Elderly and Young Adults. - Fitsum E. Petros; Diane Hu; Priya Kulkarni; Sunil K. Agrawal (IEEE Robotics Autom. Lett., 2024)