[22.03] schedule to submit PhD thesis in Jan '23, after spending 3 years & 2 months on it :)
[21.12] virtually co-organize the 1st workshop on AI4Science at NeurIPS '21
[21.11] apply grants from CZ Initiative on 3D Genome as co-PI, with Sanger and EMBL-EBI (but failed)
[21.09] nominated from Cambridge for PhD Fellowship from Apple and JPMC (but failed)
[21.07] join Amazon Alexa as an Applied Scientist Intern :)
[21.06] join Stanford Bio-X as an external collaborator

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)

Jiefeng Gan*, Hanchen Wang*, Hui Yu, Zitong He, Wenjuan Zhang, Ke Ma, Lianghui Zhu, Yutong Bai, Zongwei Zhou, Alan Yullie, Xiang Bai, Mingwei Wang, Dehua Yang, Yanyan Chen, Guoan Chen, Joan Lasenby, Chao Cheng, Jia Wu, Jianjun Zhang, Xinggang Wang#, Yaobing Chen#, Guoping Wang#, Tian Xia#
(*co-first, # 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
}

- [21.07] Self-Supervised Learning on 3D Vision, Amazon-UCL Seminar
- [21.07] Modeling Protein with Transformers @ Genetics, Cam
- [21.06] Panel Discussion on AIoT, hosted by Dr. Juejia Zhou, Director of Xiaomi Corp
- [21.03] Neural Volume Rendering @ SigProc, Cam
- [20.08] A Collaborative AI Engine for CT-based COVID-19 Diagnosis @ {CMIH, InfoEng}, Cam
- [20.04] Machine Learning on Sets @ MLG, Cam
- [20.02] 3D Deep Learning Meets Points Cloud @ St Edmund's College, Cam
- [19.10] Federated ML with Differential Privacy @ HackBridge Demo Day
- [18.07] Acceptance Speech (Awardee Representative) @ Cathy Xu Fellowship Awarding Event
- [18.06] Commencement Speech (Valedictorian) @ KYM Honours School, NJU