Diane Hu

Orcid: 0000-0002-0915-0641

According to our database1, Diane Hu authored at least 24 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Robotically Controlled Head Oscillations During Overground Walking: A Comparison of Elderly and Young Adults.
IEEE Robotics Autom. Lett., February, 2024

2023
Quantifying Exploration Preference for E-Commerce Recommendation.
Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning.
CoRR, 2022

Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Adaptive Bandit Cluster Selection for Graph Neural Networks.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce.
IEEE Data Eng. Bull., 2021

2020
Generalized Optimal Sparse Decision Trees.
CoRR, 2020

The Difference Between a Click and a Cart-Add: Learning Interaction-Specific Embeddings.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Attentive Sequential Models of Latent Intent for Next Item Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Generalized and Scalable Optimal Sparse Decision Trees.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
A Sequential Test for Selecting the Better Variant: Online A/B testing, Adaptive Allocation, and Continuous Monitoring.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce.
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Understanding the Role of Style in E-commerce Shopping.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Learning Item-Interaction Embeddings for User Recommendations.
CoRR, 2018

Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning within-session budgets from browsing trajectories.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2017
Using impedance to track fracture healing rates in mice in vivo: A pilot study.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015
Targeted Content for a Real-Time Activity Feed: For First Time Visitors to Power Users.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

2014
Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2012
Probabilistic topic models for automatic harmonic analysis of music.
PhD thesis, 2012

2011
Toward Robust Material Recognition for Everyday Objects.
Proceedings of the British Machine Vision Conference, 2011

2010
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
A Probabilistic Topic Model for Unsupervised Learning of Musical Key-Profiles.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009


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