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 | 97 | 2018 |
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 | 85 | 2018 |
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 | 55 | 2019 |
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 | 39 | 2019 |
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 | 30 | 2020 |
Environment Design for Biased Decision Makers. G Yu, CJ Ho IJCAI, 592-598, 2022 | 12 | 2022 |
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 | 6 | 2023 |
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 | 6 | 2022 |
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 | 3 | 2024 |
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 |