Human-in-the-Loop Mixup
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley Love, Adrian Weller
UAI 2023 Oral & Best HCOMP Poster Award
arXiv | code | talk | bib
@InProceedings{Collins2023HILLM,
title={Human-in-the-Loop Mixup},
author={Collins, Katherine M and Bhatt, Umang and Liu, Weiyang and Piratla, Vihari
and Sucholutsky, Ilia and Love, Bradley and Weller, Adrian},
booktitle={UAI},
year={2023}}
Nonparametric Iterative Machine Teaching
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok
ICML 2023
arXiv | code | bib
@InProceedings{Zhang2023NIMT,
title={Nonparametric Iterative Machine Teaching},
author={Zhang, Chen and Cao, Xiaofeng and Liu, Weiyang and Tsang, Ivor and Kwok, James},
booktitle = {ICML},
year={2023}}
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
Weiyang Liu*, Longhui Yu*, Adrian Weller, Bernhard Schölkopf
ICLR 2023
arXiv | code | openreview | talk | slides | bib
@InProceedings{Liu2023HUG,
title={Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap},
author={Liu, Weiyang and Yu, Longhui and Weller, Adrian and Schölkopf, Bernhard},
booktitle = {ICLR},
year={2023}}
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu*
ICLR 2023 Notable Top-25%
arXiv | code | project | openreview | talk | slides | bib
@InProceedings{Liu2023MeshDiffusion,
title={MeshDiffusion: Score-based Generative 3D Mesh Modeling},
author={Liu, Zhen and Feng, Yao and Black, Michael J. and Nowrouzezahrai, Derek
and Paull, Liam and Liu, Weiyang},
booktitle = {ICLR},
year={2023}}
Iterative Teaching by Data Hallucination
Zeju Qiu*, Weiyang Liu*, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
AISTATS 2023
arXiv | code | talk | slides | bib
@InProceedings{Qiu2023DHT,
title={Iterative Teaching by Data Hallucination},
author={Qiu, Zeju and Liu, Weiyang and Xiao, Tim Z and Liu, Zhen
and Bhatt, Umang and Luo, Yucen and Weller, Adrian and Schölkopf, Bernhard},
booktitle = {AISTATS},
year={2023}}
Continual Learning by Modeling Intra-Class Variation
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu*
TMLR 2023
arXiv | code | openreview | bib
@article{Yu2022MOCA,
title={Continual Learning by Modeling Intra-Class Variation},
author={Yu, Longhui and Hu, Tianyang and Hong, Lanqing and Liu, Zhen and Weller, Adrian and Liu, Weiayng},
journal = {arXiv preprint arXiv:2210.05398},
year={2022}}
Structural Causal 3D Reconstruction
Weiyang Liu*, Zhen Liu*, Liam Paull, Adrian Weller, Bernhard Schölkopf
ECCV 2022
arXiv | code | talk | slides | bib
@InProceedings{Liu2022SCR,
title={Structural Causal 3D Reconstruction},
author={Liu, Weiyang and Liu, Zhen and Paull, Liam and Weller, Adrian and Schölkopf, Bernhard},
booktitle = {ECCV},
year={2022}}
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang*, Yi-Fan Zhang*, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric Xing
CVPR 2022 Oral
arXiv | code | talk | bib
@InProceedings{Zhang2022DDG,
title={Towards Principled Disentanglement for Domain Generalization},
author={Zhang, Hanlin and Zhang, Yi-Fan and Liu, Weiyang and Weller, Adrian and Sch{\"o}lkopf, Bernhard and Xing, Eric P},
booktitle = {CVPR},
year={2022}}
SphereFace Revived: Unifying Hyperspherical Face Recognition
Weiyang Liu*, Yandong Wen*, Bhiksha Raj, Rita Singh, Adrian Weller
TPAMI 2022
arXiv | code | opensphere | IEEE Xplore | bib
@article{liu2023spherefacer,
title={SphereFace Revived: Unifying Hyperspherical Face Recognition},
author={Liu, Weiyang and Wen, Yandong and Raj, Bhiksha and Singh, Rita and Weller, Adrian},
journal={IEEE Transactions on Pattern Analysis \& Machine Intelligence},
volume={45},
number={02},
pages={2458--2474},
year={2023}}
SphereFace2: Binary Classification is All You Need for Deep Face Recognition
Yandong Wen*, Weiyang Liu*, Adrian Weller, Bhiksha Raj, Rita Singh
ICLR 2022 Spotlight
arXiv | code | project | openreview | slides | bib
@InProceedings{Wen2021SphereFace2,
title={SphereFace2: Binary Classification is All You Need for Deep Face Recognition},
author={Wen, Yandong and Liu, Weiyang and Weller, Adrian and Raj, Bhiksha and Singh, Rita},
booktitle = {ICLR},
year={2022}}
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
ICLR 2022
arXiv | code | project | openreview | talk | slides | bib
@InProceedings{Liu2021GraphMVP,
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},
booktitle={ICLR},
year={2022}}
Iterative Teaching by Label Synthesis
Weiyang Liu*, Zhen Liu*, Hanchen Wang*, Liam Paull, Bernhard Schölkopf, Adrian Weller
NeurIPS 2021 Spotlight
arXiv | code | openreview | talk | slides | video | bib
@InProceedings{Liu2021LAST,
title={Iterative Teaching by Label Synthesis},
author={Liu, Weiyang and Liu, Zhen and Wang, Hanchen and Paull, Liam and Schölkopf, Bernhard and Weller, Adrian},
booktitle = {NeurIPS},
year={2021}}
Locality Sensitive Teaching
Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava
NeurIPS 2021
arXiv | code | openreview | talk | slides | bib
@InProceedings{Xu2021LST,
title={Locality Sensitive Teaching},
author={Xu, Zhaozhuo and Chen, Beidi and Li, Chaojian and Liu, Weiyang
and Song, Le and Lin, Yingyan and Shrivastava, Anshumali},
booktitle = {NeurIPS},
year={2021}}
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Xiang Bai, Hanchen Wang, ..., Weiyang Liu, ..., Carola Schönlieb, Tian Xia
Nature Machine Intelligence 2021
arXiv | code | project | news | bib
@article{UCADI2021NMI,
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 Fan, Ziwei and Yang, Fan and Ma, Ke and Yang, Jiehua and Bai, Song and others},
journal={Nature Machine Intelligence},
volume={3},
number={12},
pages={1081--1089},
year={2021},
publisher={Nature Publishing Group}}
Self-Supervised 3D Face Reconstruction via Conditional Estimation
Yandong Wen, Weiyang Liu, Bhiksha Raj, Rita Singh
ICCV 2021
arXiv | code | talk | poster | bib
@InProceedings{Wen2021CEST,
title={Self-Supervised 3D Face Reconstruction via Conditional Estimation},
author={Wen, Yandong and Liu, Weiyang and Raj, Bhiksha and Singh, Rita},
booktitle={ICCV},
year={2021}}
Learning with Hyperspherical Uniformity
Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller
AISTATS 2021
arXiv | code | talk | slides | bib
@InProceedings{Liu2021SphereUni,
title={Learning with Hyperspherical Uniformity},
author={Liu, Weiyang and Lin, Rongmei and Liu, Zhen and Xiong, Li and Schölkopf, Bernhard and Weller, Adrian},
booktitle={AISTATS},
year={2021}}
Orthogonal Over-Parameterized Training
Weiyang Liu*, Rongmei Lin*, Zhen Liu, James Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller
CVPR 2021 Oral
arXiv | code | project | talk | slides | bib
@InProceedings{Liu2021OPT,
title={Orthogonal Over-Parameterized Training},
author={Liu, Weiyang and Lin, Rongmei and Liu, Zhen and Rehg, James M. and Paull, Liam
and Xiong, Li and Song, Le and Weller, Adrian},
booktitle={CVPR},
year={2021}}
Angular Visual Hardness
Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar
ICML 2020
arXiv | code | project | talk | long talk | slides | bib
@InProceedings{Chen20AVH,
title={Angular Visual Hardness},
author={Chen, Beidi and Liu, Weiyang and Garg, Animesh and Yu, Zhiding
and Shrivastava, Anshumali and Anandkumar, Animashree},
booktitle={ICML},
year={2020}}
Regularizing Neural Networks via Minimizing Hyperspherical Energy
Rongmei Lin, Weiyang Liu*, Zhen Liu, Chen Feng, Zhiding Yu, James Rehg, Li Xiong, Le Song
CVPR 2020
arXiv | code | talk | slides | bib
@InProceedings{Lin20CoMHE,
title={Regularizing Neural Networks via Minimizing Hyperspherical Energy},
author={Lin, Rongmei and Liu, Weiyang and Liu, Zhen and Feng, Chen and Yu, Zhiding
and Rehg, James M. and Xiong, Li and Song, Le},
booktitle={CVPR},
year={2020}}
Neural Similarity Learning
Weiyang Liu, Zhen Liu, James Rehg, Le Song
NeurIPS 2019
arXiv | code | talk | slides | bib
@InProceedings{LiuNIPS19,
title={Neural Similarity Learning},
author={Liu, Weiyang and Liu, Zhen and Rehg, James and Song, Le},
booktitle={NeurIPS},
year={2019}}
Meta Architecture Search
Albert Shaw, Wei Wei, Weiyang Liu, Le Song, Bo Dai
NeurIPS 2019
arXiv | code | poster | bib
@InProceedings{ShawNIPS19,
title={Meta Architecture Search},
author={Shaw, Albert and Wei, Wei and Liu, Weiyang and Song, Le and Dai, Bo},
booktitle={NeurIPS},
year={2019}}
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
Yandong Wen, Mahmoud Alismail, Weiyang Liu, Bhiksha Raj, Rita Singh
ICLR 2019
arXiv | code | openreview | poster | bib
@InProceedings{Wen2019DIM,
title={Disjoint Mapping Network for Cross-modal Matching of Voices and Faces},
author={Wen, Yandong and Alismail, Mahmoud and Liu, Weiyang and Raj, Bhiksha and Singh, Rita},
booktitle={ICLR},
year={2019}}
Learning towards Minimum Hyperspherical Energy
Weiyang Liu*, Rongmei Lin*, Zhen Liu*, Lixin Liu*, Zhiding Yu, Bo Dai, Le Song
NeurIPS 2018
arXiv | code | project | sphereface+ | talk | slides | bib
@InProceedings{LiuNIPS18,
title={Learning towards Minimum Hyperspherical Energy},
author={Liu, Weiyang and Lin, Rongmei and Liu, Zhen and Liu, Lixin and Yu, Zhiding and Dai, Bo and Song, Le},
booktitle={NeurIPS},
year={2018}}
Coupled Variational Bayes via Optimization Embedding
Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song
NeurIPS 2018
arXiv | code | poster | bib
@InProceedings{DaiNIPS18,
title={Coupled Variational Bayes via Optimization Embedding},
author={Dai, Bo and Dai, Hanjun and He, Niao and Liu, Weiyang
and Liu, Zhen and Chen, Jianshu and Xiao, Lin and Song, Le},
booktitle={NeurIPS},
year={2018}}
Simultaneous Edge Alignment and Learning
Zhiding Yu, Weiyang Liu, Yang Zou, Chen Feng, Srikumar Ramalingam, Vijaya Kumar, Jan Kautz
ECCV 2018
arXiv | code | project | demo | slides | bib
@article{YuECCV18,
title={Simultaneous Edge Alignment and Learning},
author={Yu, Zhiding and Liu, Weiyang and Zou, Yang and Feng, Chen
and Ramalingam, Srikumar and Kumar, Vijaya and Kautz, Jan},
journal={arXiv preprint arXiv:1807.04836},
year={2018}}
Towards Black-box Iterative Machine Teaching
Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James Rehg, Le Song
ICML 2018
arXiv | talk | slides | bib
@InProceedings{Liu2018ICML,
author={Liu, Weiyang and Dai, Bo and Li, Xingguo and Rehg, James M and Song, Le},
title = {Towards Black-box Iterative Machine Teaching},
booktitle = {ICML},
year = {2018}}
Decoupled Networks
Weiyang Liu*, Zhen Liu*, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James Rehg, Le Song
CVPR 2018 Spotlight
arXiv | code | talk | slides | bib
@InProceedings{Liu2018DCNets,
author = {Liu, Weiyang and Liu, Zhen and Yu, Zhiding and Dai, Bo and Lin, Rongmei
and Wang, Yisen and Rehg, James M. and Song, Le},
title = {Decoupled Networks},
booktitle = {CVPR},
year = {2018}}
Iterative Learning with Open-set Noisy Labels
Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia
CVPR 2018 Spotlight
arXiv | code | slides | bib
@InProceedings{Wang2018ONL,
author={Wang, Yisen and Liu, Weiyang and Ma, Xingjun and Bailey, James
and Zha, Hongyuan and Song, Le and Xia, Shu-Tao},
title={Iterative Learning with Open-set Noisy Labels},
booktitle = {CVPR},
year = {2018}}
Additive Margin Softmax for Face Verification
Feng Wang, Weiyang Liu, Haijun Liu, Jian Cheng
ICLR 2018 Workshop
arXiv | code | openreview | journal | bib
@article{Wang2018ICLRW,
title = {Additive Margin Softmax for Face Verification},
author = {Wang, Feng and Liu, Weiyang and Liu, Haijun and Cheng, Jian},
journal = {arXiv preprint arXiv:1801.05599},
year = {2018}}
Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song
NIPS 2017 Spotlight
arXiv | code | project | talk | slides | bib
@inproceedings{Liu2017NIPS,
title={Deep Hyperspherical Learning},
author={Liu, Weiyang and Zhang, Yan-Ming and Li, Xingguo and Yu, Zhiding and Dai, Bo and Zhao, Tuo and Song, Le},
booktitle={NIPS},
year={2017}}
Iterative Machine Teaching
Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Yu Chen, Linda Smith, James Rehg, Le Song
ICML 2017
arXiv | code | demo | talk | slides | bib
@inproceedings{Liu2017ICML,
title={Iterative Machine Teaching},
author={Liu, Weiyang and Dai, Bo and Humayun, Ahmad and Tay, Charlene and Yu, Chen
and Smith, Linda B and Rehg, James M and Song, Le},
booktitle={ICML},
year={2017}}
SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song
CVPR 2017 Most Influential Paper
arXiv | code | project | demo | slides | bib
@InProceedings{Liu2017CVPR,
title = {SphereFace: Deep Hypersphere Embedding for Face Recognition},
author = {Liu, Weiyang and Wen, Yandong and Yu, Zhiding and Li, Ming and Raj, Bhiksha and Song, Le},
booktitle = {CVPR},
year = {2017}}
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang
ICML 2016
arXiv | code | project | talk | slides | bib
@inproceedings{Liu2016ICML,
title={Large-Margin Softmax Loss for Convolutional Neural Networks},
author={Liu, Weiyang and Wen, Yandong and Yu, Zhiding and Yang, Meng},
booktitle={ICML},
year={2016}}
