Learning time series models for pedestrian motion prediction. - Chenghui Zhou; Borja Balle; Joelle Pineau (ICRA, 2016)

Towards a Robust Interactive and Learning Social Robot. - Michiel de Jong; Kevin Zhang 002; Aaron M. Roth; Travers Rhodes; Robin Schmucker; Chenghui Zhou; Sofia Ferreira; João Cartucho; Manuela M. Veloso (AAMAS, 2018)

Multimodal Movement Activity Recognition Using a Robot's Proprioceptive Sensors. - Robin Schmucker; Chenghui Zhou; Manuela Veloso (RoboCup, 2018)

Compressed Video Action Recognition Using Motion Vector Representation. - Chenghui Zhou; Xiaolei Chen; Pei Sun; Guanwen Zhang; Wei Zhou 020 (ICPR Workshops (1), 2020)

Unsupervised Program Synthesis for Images using Tree-Structured LSTM. - Chenghui Zhou; Chun-Liang Li; Barnabás Póczos (CoRR, 2020)

Unsupervised program synthesis for images by sampling without replacement. - Chenghui Zhou; Chun-Liang Li; Barnabás Póczos (UAI, 2021)

Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias. - Frederic Koehler; Viraj Mehta; Chenghui Zhou; Andrej Risteski (ICLR, 2022)

Improving Molecule Properties Through 2-Stage VAE. - Chenghui Zhou; Barnabás Póczos (CoRR, 2022)

Objective-Agnostic Enhancement of Molecule Properties via Multi-Stage VAE. - Chenghui Zhou; Barnabás Póczos (CoRR, 2023)

Development and validation of a machine learning prediction model for perioperative red blood cell transfusions in cardiac surgery. - Qian Li; Hong Lv; Yuye Chen; Jingjia Shen; Jia Shi; Chenghui Zhou; Fuxia Yan (Int. J. Medical Informatics, 2024)

Chemistry-Inspired Diffusion with Non-Differentiable Guidance. - Yuchen Shen; Chenhao Zhang; Sijie Fu; Chenghui Zhou; Newell Washburn; Barnabás Póczos (ICLR, 2025)