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2020 – today
- 2024
[j2]Fitsum E. Petros
, Diane Hu, Priya Kulkarni, Sunil K. Agrawal:
Robotically Controlled Head Oscillations During Overground Walking: A Comparison of Elderly and Young Adults. IEEE Robotics Autom. Lett. 9(2): 1074-1081 (2024)- 2023
- [c18]Amy B. Z. Zhang, Siyun Wang, Raphael Louca, Karl Ni, Diane Hu:
Quantifying Exploration Preference for E-Commerce Recommendation. ORSUM@RecSys 2023 - 2022
- [c17]Ghadir Ayache, Thomas Hugues, Chris Xu, Julia Zhang, Diane Hu:
Adaptive Bandit Cluster Selection for Graph Neural Networks. IEEECONF 2022: 1385-1392 - [c16]Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang:
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. WSDM 2022: 316-324 - [i3]Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang:
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning. CoRR abs/2201.00140 (2022) - 2021
- [j1]Xu Liu, Congzhe Su, Amey Barapatre, Xiaoting Zhao, Diane Hu, Chu-Cheng Hsieh, Jingrui He:
Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce. IEEE Data Eng. Bull. 44(2): 65-80 (2021) - 2020
- [c15]Jimmy Lin, Chudi Zhong, Diane Hu, Cynthia Rudin, Margo I. Seltzer:
Generalized and Scalable Optimal Sparse Decision Trees. ICML 2020: 6150-6160 - [c14]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: 645-653 - [c13]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: 454-460 - [c12]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: 2528-2534 - [i2]Jimmy Lin, Chudi Zhong, Diane Hu, Cynthia Rudin, Margo I. Seltzer:
Generalized Optimal Sparse Decision Trees. CoRR abs/2006.08690 (2020)
2010 – 2019
- 2019
- [c11]Hao Jiang, Aakash Sabharwal, Adam Henderson, Diane Hu, Liangjie Hong:
Understanding the Role of Style in E-commerce Shopping. KDD 2019: 3112-3120 - [c10]Raphael Louca, Moumita Bhattacharya, Diane Hu, Liangjie Hong:
Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce. RMSE@RecSys 2019 - [c9]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: 492-500 - 2018
- [c8]Diane Hu, Raphael Louca, Liangjie Hong, Julian J. McAuley:
Learning within-session budgets from browsing trajectories. RecSys 2018: 432-436 - [c7]Liang Wu, Diane Hu, Liangjie Hong, Huan Liu:
Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce. SIGIR 2018: 365-374 - [i1]Xiaoting Zhao, Raphael Louca, Diane Hu, Liangjie Hong:
Learning Item-Interaction Embeddings for User Recommendations. CoRR abs/1812.04407 (2018) - 2017
- [c6]Monica C. Lin, Diane Hu, Frank Yang, Safa T. Herfat, Chelsea S. Bahney, Meir Marmor, Michel M. Maharbiz:
Using impedance to track fracture healing rates in mice in vivo: A pilot study. EMBC 2017: 1724-1727 - 2015
- [c5]Diane Hu, Tristan Schneiter:
Targeted Content for a Real-Time Activity Feed: For First Time Visitors to Power Users. WWW (Companion Volume) 2015: 1269-1274 - 2014
- [c4]Diane Hu, Rob Hall, Josh Attenberg:
Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce. KDD 2014: 1640-1649 - 2012
- [b1]Diane Hu:
Probabilistic topic models for automatic harmonic analysis of music. University of California, San Diego, USA, 2012 - 2011
- [c3]Diane Hu, Liefeng Bo, Xiaofeng Ren:
Toward Robust Material Recognition for Everyday Objects. BMVC 2011: 1-11 - 2010
- [c2]Diane Hu, Laurens van der Maaten, Youngmin Cho, Lawrence K. Saul, Sorin Lerner:
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development. NIPS 2010: 865-873
2000 – 2009
- 2009
- [c1]Diane Hu, Lawrence K. Saul:
A Probabilistic Topic Model for Unsupervised Learning of Musical Key-Profiles. ISMIR 2009: 441-446
Coauthor Index
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