About Me

avatar

I’m a honours year (4th year) undergraduate student at the University of Sydney, advised by Prof. Zhiyong Wang. I’m also a current visiting student in University of California, Merced, advised by Prof. Ming-Hsuan Yang, working with Dr. Lu Qi and Dr. Varun Jampani.

The saying I like most is:

“Don’t make yourself be in a limit”

In Chinese: “不要让自己受限”

Which is from my supervisor Prof. Kun He when I was in high school.

Research Interest

My main research interests is in computer vision related generation problem (Diffusion Model), 3D rendering (NeRF), video understanding, pose estimation, knowledge distillation. I also have some minor research fields like adverserial example and neural network uncertainty estimation / calibration.

Affiliations

Current

Vision and Learning Lab @ UC Merced : Visiting Student

Multimedia Computing Lab @ USyd : Research Assistant

Data Science Institute @ UTS : Research Assistant

School of Computer Science @ USyd : Casual Academic (U.S. Teaching Assistant)

Past

Multimedia Computing Lab @ USyd : Researcher

John Hopcroft Lab @ HUST : Research Intern

Selected Publications (* indicates equal contributions)

  1. Lu Qi*, Lehan Yang*, Weidong Guo, Yu Xu, Bo Du, Varun Jampani, Ming-Hsuan Yang.“UniGS: Unified Representation for Image Generation and Segmentation”.
    CVPR 2024
    ArXiv
  2. Lu Qi*, Yi-Wen Chen*, Lehan Yang*, Tiancheng SHEN, Xiangtai Li, Weidong Guo, Yu Xu, Ming-Hsuan Yang.“Generalizable Entity Grounding via Assistance of Large Language Model”.
    Preprint
    ArXiv

Publications (* indicates equal contributions)

Refer to my Google Scholar profile for a more up-to-date list of publications.

  1. Ancuti, Codruta et al. (incl. Yang, Lehan.) “NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report”. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2023): 1808-1824.
  2. Yang, Lehan and Jincen Song. “Rethinking the Knowledge Distillation From the Perspective of Model Calibration.” ArXiv abs/2111.01684 (2021): n. pag.
  3. Yang, Lehan and Xu, Kele. “Cross Modality Knowledge Distillation for Multi-modal Aerial View Object Classification.” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2021): 382-387.
  4. Liu, Jerrick et al. (incl. Yang, Lehan.) “NTIRE 2021 Multi-modal Aerial View Object Classification Challenge.” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2021): 588-595.
  5. Ancuti, Codruta Orniana et al. (incl. Yang, Lehan.) “NTIRE 2021 NonHomogeneous Dehazing Challenge Report.” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2021): 627-646.
  6. Gu, Jinjin et al. (incl. Yang, Lehan.) “NTIRE 2021 Challenge on Perceptual Image Quality Assessment.” 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2021): 677-690.
  7. SHANG Jun-yuan, YANG Le-han, HE Kun. Analyzing Latent Representation of Deep Neural Networks Based on Feature Visualization[J]. Computer Science, 2020, 47(5): 190-197. / CCFAI, 2019.
  8. Shugaev, Maxim V., Yang, Lehan. et al. “DCASE 2019 Challenge: Audio Tagging with Noisy Labels and the Effect of Model Architecture.” (2019). Preprint 2019.

Competitions

Year Award Category
2023 Ranks 9th out of 101 NTIRE 2023 HR NonHomogeneous Dehazing Challenge
2021 Ranks 6th out of 162 NTIRE 2021 Multi-modal Aerial View Object Classification Challenge - Track 2 (SAR+EO)
2021 Ranks 7th out of 283 NTIRE 2021 Perceptual Image Quality Assessment Challenge
2021 Ranks 11th out of 338 NTIRE 2021 NonHomogeneous Dehazing Challenge
2019 Gold Medal ranks 9th out of 880 Kaggle Freesound Audio Tagging 2019
2019 Silver Medal ranks 31st out of 2129 Kaggle Humpback Whale Identification Competition 2019
2019 Silver Medal ranks 106th out of 2169 Kaggle Human Protein Atlas Image Classification Competition 2019
2019 Bronze Medal ranks 78th out of 1475 Kaggle SIIM-ACR Pneumothorax Segmentation 2019

Professional Services

Conference Reviewer

CVPR 2024

ECCV 2024

Journal Reviewer

TPAMI

Neurocomputing

Teaching

DATA2001: Data Science, Big Data and Data Variety \ TA:2023 / Head TA: 2024

ISYS2120: Data and Information Management \ TA:2023

Misc

I like cycling, I always riding from Sydney to Wollongong via Royal National Park.

Also, as a seasoned professional, I specialize in the cost-efficient procurement, installation, and management of GPU servers for personal and laboratory use. My proficiency also extends to establishing high-speed networks.