We intend to have a community like Climate Change AI, so stay tuned

Confirmed Author List (Alphabetical): Yoshua Bengio, Karianne Bergen, Payal Chandak, Connor Coley, Andreea Deac, Yuanqi Du, Tianfan Fu, Wenhao Gao, Shirley Ho, Kexin Huang, Peter Van Katwyk,Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Shengchao Liu, Tie-Yan Liu, Ziming Liu, Debora Marks, Bharath Ramsundar, Jimeng Sun, Jian Tang, Petar Veličković, Hanchen Wang, Max Welling, Eli Weinstein, Marinka Zitnik

@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
}