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Published in ACM Multimedia, 2020
This paper considers an inverse problem of action recognition: given a prescribed action type, we aim to generate plausible human motion sequences in 3D.
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Published in AISTATS 2022 (submitted), 2022
Connecting local and global feature attribution with TreeInner.
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Published in ICML 2023 (in preparation), 2022
Instead of try to eliminate spurious correlations through invariance, we exploit them instead via Test-Time Label-Shift Adaptation (TTLSA).
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Undergraduate course, East China Normal University, Department of Statistics, 2019
Undergraduate course, East China Normal University, Department of Statistics, 2020