Browse publications on Google Scholar (top-right) ↗
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Academic Achievements
[{'Title': 'Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems', 'Conference': 'The Web Conference (WWW), Decision Making for Information Retrieval and Recommender Systems Workshop, 2023', 'Collaborators': ['Abhishek Naik', 'Alexandros Karatzoglou', 'Martin Mladenov', 'Ed H. Chi', 'Minmin Chen']}, {'Title': 'Latent User Intent Modeling for Sequential Recommenders', 'Conference': 'The Web Conference (WWW), Industry Track, 2023', 'Collaborators': ['Alexandros Karatzoglou', 'Yuyan Wang', 'Can Xu', 'Ed H. Chi', 'Minmin Chen']}, {'Title': 'Recency Dropout for Recurrent Recommender Systems', 'Preprint': 'arXiv, 2022', 'Collaborators': ['Can Xu', 'Matthieu Lê', 'Jingchen Feng', 'Ya Le', 'Sriraj Badam', 'Ed H. Chi', 'Minmin Chen']}, {'Title': 'Learning to Augment for Casual User Recommendation', 'Conference': 'The Web Conference (WWW), 2022', 'Collaborators': ['Jianling Wang', 'Ya Le', 'Yuyan Wang', 'Ed H. Chi', 'Minmin Chen']}, {'Title': 'User Response Models to Improve a REINFORCE Recommender System', 'Conference': 'ACM International Conference on Web Search and Data Mining (WSDM), 2021', 'Collaborators': ['Minmin Chen', 'Can Xu', 'Ed H. Chi']}, {'Title': 'Convolutional Neural Networks Combined with Runge–Kutta Methods', 'Journal': 'Neural Computing and Applications, 2022', 'Collaborators': ['Mai Zhu', 'Chong Fu']}]
Currently a software engineer at Google DeepMind, previously a machine learning researcher at Borealis AI. Research interests include recommender systems and machine learning.