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Author Information
Kaiwen Yang (University of Science and Technology of China)
Tianyi Zhou (University of Washington, Seattle)

Tianyi Zhou (https://tianyizhou.github.io) is a tenure-track assistant professor of computer science at the University of Maryland, College Park. He received his Ph.D. from the school of computer science & engineering at the University of Washington, Seattle. His research interests are in machine learning, optimization, and natural language processing (NLP). His recent works study curriculum learning that can combine high-level human learning strategies with model training dynamics to create a hybrid intelligence. The applications include semi/self-supervised learning, robust learning, reinforcement learning, meta-learning, ensemble learning, etc. He published >80 papers and is a recipient of the Best Student Paper Award at ICDM 2013 and the 2020 IEEE Computer Society TCSC Most Influential Paper Award.
Yonggang Zhang (ustc)
Xinmei Tian (University of Science and Technology of China)
Dacheng Tao (University of Technology, Sydney)
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2021 Poster: CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum »
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2020 Poster: Curriculum Learning by Dynamic Instance Hardness »
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2019 Poster: Curriculum-guided Hindsight Experience Replay »
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2019 Poster: Learning to Propagate for Graph Meta-Learning »
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2018 Poster: Diverse Ensemble Evolution: Curriculum Data-Model Marriage »
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2018 Poster: Learning Versatile Filters for Efficient Convolutional Neural Networks »
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2014 Poster: Divide-and-Conquer Learning by Anchoring a Conical Hull »
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