Yandong Wen

 

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School of Engineering, Department of Artificial Intelligence
Westlake University

About Me

I am currently a tenure-track assistant professor at Westlake University. My research focuses on large language model, vision language model and finetuning techinique.

Before joining Westlake University, a post-doctoral researcher at MPI Tübingen, working with Michael J. Black. I completed my PhD at Carnegie Mellon University, where I was advised by Prof. Rita Singh and Bhiksha Raj. I was a member of MLSP Group. Prior to that, I received my master's and bachelor's degrees from South China University of Technology, advised by Yuli Fu. I have also spent time at Facebook Reality Lab and Shenzhen Institute of Advanced Technology.

Publications

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
Weiyang Liu*, Zeju Qiu*, Yao Feng**, Yuliang Xiu**, Yuxuan Xue**, Longhui Yu**, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf

Preprint 2023

paper | code | project | bib

  @article{liu2023boft,
      author = {Liu, Weiyang and Qiu, Zeju and Feng, Yao and Xiu, Yuliang and Xue, Yuxuan and Yu, Longhui and Feng, Haiwen and Liu, Zhen 
        and Heo, Juyeon and Peng, Songyou and Wen, Yandong and Black, Michael J. and Weller, Adrian and Sch{\"o}lkopf, Bernhard},
      title = {Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization},
      journal = {arXiv},
      year = {2023}}

Text-Guided Generation and Editing of Compositional 3D Avatars
Hao Zhang, Yao Feng, Peter Kulits, Yandong Wen, Justus Thies, Michael J. Black

3DV 2023

paper | code | project | bib

  @InProceedings{zhang2023text,
      title={Text-Guided Generation and Editing of Compositional},
      author={Zhang, Hao and Feng, Yao and Kulits, Peter and Wen, Yandong and Thies, Justus and Black, Michael J.},
      booktitle={3DV},
      year={2023}}

Rethinking Voice-Face Correlation: A Geometry View
Xiang Li, Yandong Wen, Muqiao Yang, Jinglu Wang, Rita Singh, Bhiksha Raj

ACM MM 2023

paper | bib

  @InProceedings{li2023rethinking,
      title={Rethinking Voice-Face Correlation: A Geometry View},
      author={Li, Xiang and Wen, Yandong and Yang, Muqiao and Wang, Jinglu and Singh, Rita and Raj, Bhiksha},
      booktitle={ACMMM},
      year={2023}}

The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features
Liao Qu, Xianwei Zou, Xiang Li, Yandong Wen, Rita Singh, Bhiksha Raj

InterSpeech 2023

paper | bib

  @InProceedings{qu2023hidden,
      title={The Hidden Dance of Phonemes and Visage: Unveiling the Enigmatic Link between Phonemes and Facial Features},
      author={Qu, Liao and Zou, Xianwei and Li, Xiang and Wen, Yandong and Singh, Rita and Raj, Bhiksha},
      booktitle={InterSpeech},
      year={2023}}

Emotional Speech-Driven Animation with Content-Emotion Disentanglement
Radek Daněček, Kiran Chhatre, Shashank Tripathi, Yandong Wen, Michael J. Black, Timo Bolkart

SIGGRAPH Asia 2023

paper | project | bib

  @InProceedings{danvevcek2023emotional,
      title={Emotional Speech-Driven Animation with Content-Emotion Disentanglement},
      author={Dan{\v{e}}{\v{c}}ek, Radek and Chhatre, Kiran and Tripathi, Shashank
       and Wen, Yandong and Black, Michael J. and Bolkart, Timo},
      booktitle={Siggraph Asia},
      year={2023}}

Pairwise Similarity Learning is SimPLE
Yandong Wen*, Weiyang Liu*, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf

ICCV 2023

paper | code | project | bib

  @InProceedings{wen2023simple,
      title={Pairwise Similarity Learning is SimPLE},
      author={Wen, Yandong and Liu, Weiyang and Feng, Yao and Raj, Bhiksha and Singh, Rita
        and Weller, Adrian and Black, Michael and Sch{\"o}lkopf, Bernhard},
      booktitle={ICCV},
      year={2023}}

Generating Holistic 3D Human Motion from Speech
Hongwei Yi*, Hualin Liang*, Yifei Liu*, Qiong Cao, Yandong Wen, Timo Bolkart, Dacheng Tao, Michael J. Black

CVPR 2023

paper | code | project | bib

  @InProceedings{yi2023generating,
      title={Generating Holistic 3D Human Motion from Speech},
      author={Yi, Hongwei and Liang, Hualin and Liu, Yifei and Cao, Qiong and Wen, Yandong 
        and Bolkart, Timo and Tao, Dacheng and Black, Michael J.},
      booktitle={CVPR},
      year={2023}}

SphereFace Revived: Unifying Hyperspherical Face Recognition
Weiyang Liu*, Yandong Wen*, Bhiksha Raj, Rita Singh, Adrian Weller

TPAMI 2022

paper | code | 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

paper | code | project | 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={2021}}

MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement
Alexander Richard, Michael Zollhoefer, Yandong Wen, Fernando de la Torre, Yaser Sheikh

ICCV 2021

paper | code | talk | bib

  @InProceedings{richard2021meshtalk,
      title={MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement},
      author={Richard, Alexander and Zollh{\"o}fer, Michael and Wen, Yandong and De la Torre, Fernando and Sheikh, Yaser},
      booktitle={ICCV},
      year={2021}}

Self-Supervised 3D Face Reconstruction via Conditional Estimation
Yandong Wen, Weiyang Liu, Bhiksha Raj, Rita Singh

ICCV 2021

paper | talk | bib

  @InProceedings{wen2021self,
      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}}

A Comprehensive Study on Center Loss for Deep Face Recognition
Yandong Wen*, Kaipeng Zhang*, Zhifeng Li, Yu Qiao

IJCV 2019

paper | code | bib

  @article{wen2019comprehensive,
      title={A Comprehensive Study on Center Loss for Deep Face Recognition},
      author={Wen, Yandong and Zhang, Kaipeng and Li, Zhifeng and Qiao, Yu},
      journal={International Journal of Computer Vision},
      volume={127},
      pages={668--683},
      year={2019}}

Face Reconstruction from Voice using Generative Adversarial Networks
Yandong Wen, Rita Singh, and Bhiksha Raj

NeurIPS 2019

paper | code | bib

  @InProceedings{wen2019face,
      title={Face Reconstruction from Voice using Generative Adversarial Networks},
      author={Wen, Yandong and Raj, Bhiksha and Singh, Rita},
      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

paper | code | bib

  @InProceedings{wen2018disjoint,
      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}}

A Corrective Learning Approach for Text-Independent Speaker Verification
Yandong Wen, Tianyan Zhou; Rita Singh; Bhiksha Raj

ICASSP 2019

paper | bib

  @InProceedings{wen2018corrective,
      title={A Corrective Learning Approach for Text-Independent Speaker Verification},
      author={Wen, Yandong and Zhou, Tianyan and Singh, Rita and Raj, Bhiksha},
      booktitle={ICASSP},
      year={2018}}

Range Loss for Deep Face Recognition with Long-tailed Training Data
Xiao Zhang, Zhiyuan Fang, Yandong Wen, Zhifeng Li, Yu Qiao
ICCV 2017 

paper | bib

  @InProceedings{zhang2017range,
      title = {Range loss for deep face recognition with long-tailed training data},
      author = {Zhang, Xiao and Fang, Zhiyuan and Wen, Yandong and Li, Zhifeng and Qiao, Yu},
      booktitle = {ICCV},
      year = {2017}}

SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song
CVPR 2017   Paper Digest Most Influential Paper

paper | code | demo | bib

  @InProceedings{liu2017sphereface,
      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}}

A Discriminative Deep Feature Learning Approach for Face Recognition
Yandong Wen, Kaipeng Zhang, Zhifeng Li and Yu Qiao
ECCV 2016

paper | code | bib

  @inproceedings{wen2016discriminative,
      title={A Discriminative Deep Feature Learning Approach for Face Recognition},
      author={Wen, Yandong and Zhang, Kaipeng and Li, Zhifeng and Qiao, Yu},
      booktitle={ECCV},
      year={2016}}

Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu*, Yandong Wen*, Zhiding Yu, Meng Yang
ICML 2016

paper | code | bib

  @inproceedings{liu2016large,
      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}}

Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition
Yandong Wen, Zhifeng Li and Yu Qiao
CVPR 2016

paper | bib

  @inproceedings{wen2016latent,
      title={Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition},
      author={Wen, Yandong and Li, Zhifeng and Qiao, Yu},
      booktitle={CVPR},
      year={2016}}
Last updated on 23th November 2023.
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