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Guanghui Yu
Guanghui Yu
在 wustl.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Improving Implicit Recommender Systems with View Data.
J Ding, G Yu, X He, Y Quan, Y Li, TS Chua, D Jin, J Yu
IJCAI, 3343-3349, 2018
972018
An improved sampler for bayesian personalized ranking by leveraging view data
J Ding, F Feng, X He, G Yu, Y Li, D Jin
Companion proceedings of the the web conference 2018, 13-14, 2018
852018
Sampler design for bayesian personalized ranking by leveraging view data
J Ding, G Yu, X He, F Feng, Y Li, D Jin
IEEE transactions on knowledge and data engineering 33 (2), 667-681, 2019
552019
Learning from hometown and current city: Cross-city POI recommendation via interest drift and transfer learning
J Ding, G Yu, Y Li, D Jin, H Gao
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019
392019
Improving implicit recommender systems with auxiliary data
J Ding, G Yu, Y Li, X He, D Jin
ACM Transactions on Information Systems (TOIS) 38 (1), 1-27, 2020
302020
Environment Design for Biased Decision Makers.
G Yu, CJ Ho
IJCAI, 592-598, 2022
122022
How does Value Similarity affect Human Reliance in AI-Assisted Ethical Decision Making?
S Narayanan, G Yu, CJ Ho, M Yin
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 49-57, 2023
62023
How Does Predictive Information Affect Human Ethical Preferences?
S Narayanan, G Yu, W Tang, CJ Ho, M Yin
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 508-517, 2022
62022
Encoding human behavior in information design through deep learning
G Yu, W Tang, S Narayanan, CJ Ho
Advances in Neural Information Processing Systems 36, 2024
32024
On the Utility of Accounting for Human Beliefs about AI Behavior in Human-AI Collaboration
G Yu, R Kasumba, CJ Ho, W Yeoh
arXiv preprint arXiv:2406.06051, 2024
2024
Data-Driven Goal Recognition Design for General Behavioral Agents
R Kasumba, G Yu, CJ Ho, S Keren, W Yeoh
arXiv preprint arXiv:2404.03054, 2024
2024
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