Hanchen diving in academia while hatching my unicorns
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Helpful Collaborators in Doctoral Studies sort by the time we start
I enjoy working with and learning from peers and seniors:
Qi,
Yun-hao,
Weiyang,
Xiangyu,
Jiefeng,
Shuai,
Shengchao,
Yuanqi,
Peng,
Chaoyang,
Harrison,
Jean,
Dingmin,
Zhen,
Songyou,
...
===
Adrian Weller,
Matt Kusner,
Tian Xia,
Xiang Bai,
Carola-Bibiane Schönlieb,
Matthias Niessner,
Trevor Darrell,
Max Welling,
Yoshua Bengio,
Jian Tang,
James Zou,
Le Song,
Marinka Zitnik,
Matthew Wellborn,
Thomas Miller,
Animashree Anandkumar,
...
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PhD Publication List
'*' denotes joint first/second authorship
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22.
Machine Learning Systems: Design and Implementation (in Chinese)
in press, textbook, will be taught in Peking University in Fall 2022
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21.
Enabling Scientific Discovery with Artificial Intelligence
Click to expand full author list (Yoshua Bengio et al.,)
Confirmed Author List (Alphabetical): Yoshua Bengio, Karianne Bergen, Payal Chandak, Connor Coley, 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
Co-leads: Hanchen*, Yuanqi*, and Tianfan*
Correspondence: Marinka Zitnik
revising, for Nature
Main Figure
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20.
Predicting Biomarkers from Histopathological Images via Saliency Lesion Searching
Jiefeng Gan*,
Hanchen Wang*, et al .,
in review, for Nature Communications
Main Figure
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19.
Open Problems in Federated Digital Health
Hanchen Wang,
James Zou
revising, for Nature Machine Intelligence
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18.Evaluating Self-supervised Learning for Molecular Graph Embeddings
Hanchen Wang*,
Jean Kaddour*,
Shengchao Liu,
Jian Tang,
Matt Kusner,
Joan Lasenby,
Qi Liu
in review, 2022, also presented at Pre-Training & AI4Science at ICML 2022
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17.
Unsupervised Discovery of Steerable Factors in Structured Data
Shengchao Liu, Yuanqi Du,
Hanchen Wang,
Joan Lasenby, Bolei Zhou, Jian Tang
in review
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16.
Augmenting Message Passing by Retrieving Similar Graphs
Dingmin Wang, Shengchao Liu*,
Hanchen Wang*,
Linfeng Song, Jian Tang, Le Song, Bernardo Cuenca Grau, Qi Liu
in review
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15.
Graph Denoising with Edge Editing
Hanchen Wang,
Yunlong Jiao,
Jordan Massiah
contributed talk at Amazon Machine Learning Conference 2021, public version soon
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14.
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu,
Hanchen Wang,
Weiyang Liu,
Joan Lasenby,
Hongyu Guo,
Jian Tang
ICLR 2022, also presented at 2nd SSL NeurIPS 2021
bibtex
@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}}
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13.
Matching Point Sets with Quantum Circuits Learning
Hanchen Wang*,
M. N.*
(here in contribution order)
ICASSP 2022, Invited by Editors, with Travel Award
project page  | 
code  | 
bibtex
@inproceedings{qkc,
title={Matching Point Sets with Quantum Circuits Learning},
author={Mohammadreza Noormandipour and Hanchen Wang},
year={2022},
booktitle={ICASSP}}
A parameterised quantum generative model that learns to match point sets
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12.
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Xiang Bai*
Hanchen Wang*,
Liya Ma*, Yongchao Xu*, Jiefeng Gan*,
..., Carola Schönlieb, Tian Xia
Nature Machine Intelligence 2021
project page  | 
code  | 
bibtex-paper  | 
bibtex-code
Media coverage: HUST, Cambridge, Horizon Magazine, [upcoming...]
@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}
}
Federated COVID-19 diagnosis, incl. 9,573 CTs of 3,336 patients from 23 hospitals in CN & UK
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11.
Iterative Teaching by Label Synthesis
Weiyang Liu*,
Zhen Liu*,
Hanchen Wang*,
Liam Paul,
Bernhard Schölkopf,
Adrian Weller
NeurIPS 2021, Spotlight
openreview  | 
bibtex
@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}
}
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10.
Neural Random Subspace
Yun-Hao Cao,
Jianxin Wu,
Hanchen Wang,
Joan Lasenby
Pattern Recognition 2021
code (ML, IR, Images &
3D)  | 
bibtex
@article{NRS_Yunhao,
title = {Neural random subspace},
journal = {Pattern Recognition},
volume = {112},
pages = {107801},
year = {2021},
author = {Yun-Hao Cao and Jianxin Wu and Hanchen Wang and Joan Lasenby}}
a neural module that ensembles from one depth tree based on random feature subspace
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9.
Unsupervised Point Cloud Pre-training via Occlusion Completion
Hanchen Wang,
Qi Liu,
Xiangyu Yue,
Joan Lasenby,
Matthew J. Kusner
ICCV 2021, also presented at WeaSul ICLR 2021
project page  | 
code
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bibtex
@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
}
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8.
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision
Hanchen Wang,
Nina Grgić-Hlača,
Preethi Lahoti,
Krishna. P. Gummadi,
Adrian. V. Weller
axXiv, presented at NeurIPS HCML 2019, with Travel Award
code  | 
poster  | 
bibtex
@article{fairmetric,
title={An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision},
author={Wang, Hanchen and Grgic-Hlaca, Nina and Lahoti, Preethi and Gummadi, Krishna P and Weller, Adrian},
journal={arXiv preprint arXiv:1910.10255},
year={2019}}
use Mahalanobis metric learning to derive similarity measure from human judgments
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Undergraduate Publication List
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7.
Current-controlled Propagation of Spin Waves in Antiparallel, Coupled Domains
, Nature Nanotechnology 2019
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6.
Dopant‐Free Partial Rear Contacts Enabling 23% Silicon Solar Cells
, Advanced Energy Materials 2019
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5.
Stable dopant-free asymmetric heterocontact silicon solar cells with efficiencies above 20%
, ACS Energy Letters 2018
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4.
Negative Capacitance 2D MoS2 Transistors with Sub-60mV/dec Subthreshold
Swing over 6 Orders, 250 μA/μm Current Density, and Nearly-Hysteresis-Free
, IEDM 2017, Oral
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3.
Molecular mechanism of self-assembly of aromatic oligoamides into interlocked double-helix foldamers
, Journal of Physical Chemistry B 2017
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2.
Microchannel contacting of crystalline silicon solar cells
, Nature Scientific Reports 2017
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1.
Logical integration device for two-dimensional semiconductor transition metal sulfide
, Invited, Acta Physica Sinica 2017
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