[Alphabetical] Anima, Yoshua, Joan, Jure, Aviv, Zemin, Marinka

Hanchen Wang*, Tianfan Fu*, Yuanqi Du*, Wenhao Gao+, Kexin Huang+, Ziming Liu+, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Anima Anandkumar, Karianne Bergen, Allan M. Brandt, Carla Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Veličković, Max Welling, Connor W. Coley, Yoshua Bengio, Marinka Zitnik#
(*co-first, +co-second in alphabetical, # correspondence)

@inproceedings{graphmvp,
title={Pre-Training Molecular Graph Representation with 3D Geometry},
author={Liu, Shengchao and Wang, Hanchen and Liu, Weiyang and Lasenby, Joan and Guo, Hongyu and Tang, Jian},
year={2022},
booktitle={ICLR}}

@inproceedings{qkc,
title={Matching Point Sets with Quantum Circuits Learning},
author={Mohammadreza Noormandipour and Hanchen Wang},
year={2022},
booktitle={ICASSP}}

@inproceedings{LAST,
title={Iterative Teaching by Label Synthesis},
author={Weiyang Liu and Zhen Liu and Hanchen Wang and Liam Paull and Bernhard Schölkopf and Adrian Weller},
year={2021},
booktitle={NeurIPS}
}

@article{ucadi,
title = {Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence},
author = {Bai, Xiang and Wang, Hanchen and Ma, Liya and Xu, Yongchao and Gan, Jiefeng and others},
year = 2021,
journal = {Nature Machine Intelligence},
publisher = {Nature Publishing Group}
}

@software{ucadi_code,
title = {{HUST-EIC-AI-LAB/UCADI: COVID-19 Diagnosis With Federated Learning}},
author = {Hanchen Wang and Ziwei Fan and Jiefeng Gan and Ke Ma and Xinyu Zou and Chang Shu},
year = 2021,
month = oct,
publisher = {Zenodo},
doi = {10.5281/zenodo.5560136},
url = {https://doi.org/10.5281/zenodo.5560136},
version = {1.0}
}

@inproceedings{OcCo,
title = {Unsupervised Point Cloud Pre-Training via Occlusion Completion},
author = {Hanchen Wang and Qi Liu and Xiangyu Yue and Joan Lasenby and Matthew J. Kusner},
year = 2021,
booktitle = ICCV
}