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Posts by Collection
portfolio
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publications
Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering
Published in TCYB, 2018
This paper proposes a novel recommendation algorithm for serendipitous recommendation by introducing the concept of innovators.
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G^3SR: Global Graph Guided Session-Based Recommendation
Published in TNNLS, 2018
A graph-based algorithm for session-based recommendation with global graph pretraining.
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DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Published in AAAI, 2019
This paper is about incorporating representation learning-based methods and matching function learning-based methods in collaborative filtering. Python code is available.
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Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
Published in ICLR, 2022
A purely uncertainty-driven algorithm for offline reinforcement learning. Python code is available.
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False Correlation Reduction for Offline Reinforcement Learning
Published in TPAMI, 2023
This paper proposes a novel offline RL algorithm for reducing false correlations between epistemic uncertainty and decision-making, an essential factor that causes suboptimality.
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talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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