CV

You can find my CV here.

Employment

• April 2025 - Now:
  • Assistant Professor at National Institute of Informatics
  • Assistant Professor at The Graduate University for Advanced Studies, SOKENDAI

Education

• Ph.D. in Information and Communication Engineering, The University of Tokyo, 2025
• M.S. in Intelligence Science, Peking University, 2021
• B.S. in Computer Science, Beijing University of Posts and Telecommunications, 2018

Industry experience

• January 2025 - March 2025: Research Scientist Intern
  • Sakana AI, Tokyo
  • Research topic: Implicit neural representation
• May 2023 - Auguest 2023: Research Scientist Intern
  • Adobe, San Jose
  • Research topic: Multi-modal representation learning
• Auguest 2021 - October 2022: Research Intern
  • SenseTime Research, Beijing
  • Research topic: Self-supervised representation learning

Publications

OCNet: Object Context for Semantic Segmentation

Yuhui Yuan, Lang Huang, Jianyuan Guo, Chao Zhang, Xilin Chen, Jingdong Wang (2021). "OCNet: Object Context for Semantic Segmentation; International Journal of Computer Vision.

Interlaced Sparse Self-Attention for Semantic Segmentation

Lang Huang, Yuhui Yuan, Jianyuan Guo, Chao Zhang, Xilin Chen, Jingdong Wang (2019). "Interlaced Sparse Self-Attention for Semantic Segmentation; arXiv:1907.12273.

Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification

Jianyuan Guo, Yuhui Yuan, Lang Huang, Chao Zhang, Jin-Ge Yao and Kai Han (2019). "Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification; International Conference on Computer Vision.

Self-Adaptive Training: beyond Empirical Risk Minimization

Lang Huang, Chao Zhang, Hongyang Zhang (2020). "Self-Adaptive Training: beyond Empirical Risk Minimization; Thirty-fourth Conference on Neural Information Processing Systems.

HRFormer: High-Resolution Vision Transformer for Dense Prediction

Yuhui Yuan, Rao Fu, Lang Huang, Weihong Lin, Chao Zhang, Xilin Chen, Jingdong Wang (2021). "HRFormer: High-Resolution Vision Transformer for Dense Prediction; Thirty-fifth Conference on Neural Information Processing Systems.

Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning

Lang Huang, Chao Zhang, Hongyang Zhang (2022). "Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning; IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Where to Learn in Cross-View Self-Supervised Learning

Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki (2022). "Learning Where to Learn in Cross-View Self-Supervised Learning; IEEE/CVF Conference on Computer Vision and Pattern Recognition.

SimMatch: Semi-supervised Learning with Similarity Matching

Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu (2022). "SimMatch: Semi-supervised Learning with Similarity Matching; IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Green Hierarchical Vision Transformer for Masked Image Modeling

Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki (2022). "Green Hierarchical Vision Transformer for Masked Image Modeling; Thirty-sixth Conference on Neural Information Processing Systems.

LightViT: Towards Light-Weight Convolution-Free Vision Transformers

Tao Huang, Lang Huang, Shan You, Fei Wang, Chen Qian, Chang Xu (2022). "LightViT: Towards Light-Weight Convolution-Free Vision Transformers; arXiv/2207.05557.

Service

• Reviewer CVPR2022-2024, ICML2025, ICLR2024-2025, NeurIPS2023-2025, ICCV2023, ECCV2022-2024, AAAI2022-2023.
• Reviewer for T-PAMI, DMLR, CVIU,