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2020 – today
- 2024
[j1]Qian Li, Hong Lv, Yuye Chen, Jingjia Shen, Jia Shi, Chenghui Zhou, Fuxia Yan:
Development and validation of a machine learning prediction model for perioperative red blood cell transfusions in cardiac surgery. Int. J. Medical Informatics 184: 105343 (2024)- 2023
- [i4]Chenghui Zhou, Barnabás Póczos:
Objective-Agnostic Enhancement of Molecule Properties via Multi-Stage VAE. CoRR abs/2308.13066 (2023) - 2022
- [c6]Frederic Koehler, Viraj Mehta, Chenghui Zhou, Andrej Risteski:
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias. ICLR 2022 - [i3]Chenghui Zhou, Barnabás Póczos:
Improving Molecule Properties Through 2-Stage VAE. CoRR abs/2212.02750 (2022) - 2021
- [c5]Chenghui Zhou, Chun-Liang Li, Barnabás Póczos:
Unsupervised program synthesis for images by sampling without replacement. UAI 2021: 408-418 - [i2]Frederic Koehler, Viraj Mehta, Andrej Risteski, Chenghui Zhou:
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias. CoRR abs/2112.06868 (2021) - 2020
- [c4]Chenghui Zhou, Xiaolei Chen, Pei Sun, Guanwen Zhang, Wei Zhou:
Compressed Video Action Recognition Using Motion Vector Representation. ICPR Workshops (1) 2020: 701-713 - [i1]Chenghui Zhou, Chun-Liang Li, Barnabás Póczos:
Unsupervised Program Synthesis for Images using Tree-Structured LSTM. CoRR abs/2001.10119 (2020)
2010 – 2019
- 2018
- [c3]Michiel de Jong, Kevin Zhang, Aaron M. Roth, Travers Rhodes, Robin Schmucker, Chenghui Zhou, Sofia Ferreira, João Cartucho, Manuela M. Veloso:
Towards a Robust Interactive and Learning Social Robot. AAMAS 2018: 883-891 - [c2]Robin Schmucker, Chenghui Zhou, Manuela Veloso:
Multimodal Movement Activity Recognition Using a Robot's Proprioceptive Sensors. RoboCup 2018: 299-310 - 2016
- [c1]Chenghui Zhou, Borja Balle, Joelle Pineau:
Learning time series models for pedestrian motion prediction. ICRA 2016: 3323-3330
Coauthor Index
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