Yijiang (William) Li 1 @ UCSD

I am an incoming Ph.D. student at UC San Diego (UCSD). I obatined my M.S.E. in Computer Science at Johns Hopkins University(JHU). Prior to that, I received my Bachelor’s Degree in Computer Science at South China University of Technology, advised by Prof. Ying Gao. I have spent time as a research assistant at Computational Cognition, Vision, and Learning (CCVL) research group, advised by Prof. Alan Yuille and as a intern researcher at SenseTime Research. I also work closely with Prof. Haohan Wang from UIUC at DREAM Lab.

My research interest lies in sample efficient, trustworthy and generalizable Machine Learning. I am also interested in Computer Vision, intrigued by various aspects such as scene understanding, 3D vision models and cogsci-inspired vision. I am currently fascinated by the following research questions:

  • Can we use language to scaffold vision learning? The robust vision system humans possess can be partially credited to the human language which inherently captures high-level semantics and abstractions facilitating easy compositional reasoning.
  • How to better leverage 3D aware vision model to reason more robustly. Despite most vision models relying on 2D-pixel input, the world is intrinsically 3D. Beyond the sophisticated 3-D sensors, akin to human binocular vision, the critical aspect lies in developing a 3D aware structure behind the vision system that can model the real 3D world.

I am also broadly interested in robust decision-making, LLM as agents and AI4SCI 2.

Contact: yli556 [at] jhu [dot] edu

🔥 News

📝 Publications and Preprints

My full paper list can be seen at Google Scholar and Full List of Publications and Preprints.

Preprint
sym

Y. Li, Y. Gao, and H. Wang, “Understanding adversarial transferability in federated learning,” arXiv preprint arXiv:2310.00616, 2023.

Preprint (TMLR submission)

Paper | Arxiv | BibTex

Preprint
sym

Li Y, Ren S, Deng W, et al. Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation. arXiv preprint arXiv:2403.05523.

Preprint (ECCV2024 submission)

Paper | Arxiv | BibTex

Preprint
sym

E. Xue, Y. Li, H. Liu, Y. Shen, and H. Wang, “Towards adversarially robust dataset distillation by curvature regularization,” arXiv preprint arXiv: 2403.10045, 2024.

Preprint (ECCV2024 submission)

Paper | Arxiv | BibTex

Preprint
sym

H. Liu, L. Li, T. Xing, V. Dalal, J. He, and H. Wang, “Dataset distillation via the wasserstein metric,” arXiv preprint arXiv: 2311.18531, 2023.

Preprint (ECCV2024 submission)

Paper | Arxiv | BibTex

ICCV 2023
sym

Y. Li, X. Wang, L. Yang, L. Feng, W. Zhang, and Y. Gao, “Diverse co-training makes strong semi-supervised segmentor,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 16055–16067, 2023.

ICCV 2023

Paper | Code | Arxiv | BibTex

ICCV 2023
sym

S. Huang, Y. Li, C. Chen, L. Shi, and Y. Gao, “Multi-metrics adaptively identifies backdoors in federated learning,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 4652–4662, October 2023.

ICCV 2023

Paper | Code | Arxiv | BibTex

CVPR 2023
sym

X. Wang, X. Yang, S. Zhang, Y. Y. Li. Feng, S. Fang, C. Lyu, K. Chen, and W. Zhang, “Consistent-teacher: Towards reducing inconsis- tent pseudo-targets in semi-supervised object detection,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 3240–3249, 2023.

CVPR 2023 (Highlight Top 2.5%)

Project Page | Paper | Code | Arxiv | BibTex

BIBM 2022
sym

Y. Li, W. Cai, Y. Gao, C. Li, and X. Hu, “More than encoder: Introducing transformer decoder to upsample,” in 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1597–1602, IEEE, 2022.

BIBM 2022

Paper | Arxiv | BibTex

🎖 Honors and Awards

  • Outstanding Thesis Awards, awarded by South China University of Technology
  • 2018-19 Scholarship, awarded by South China University of Technology
  • The 2020 Contemporary Undergraduate Mathematical Contest in Modeling First Prize
  • The 3rd Zhong Qing Bei National Mathematical Contest in Modeling ( undergraduate group) Second Prize
  • The 2020 May Day Mathematical Contest in Modeling First Prize

💻 Internships

sym

Radiology and Radiological Science, Johns Hopkins Medicine | Research Assistant | May. 2023 – Sep. 2023

  • Synthesizing high-resolution vessel Wall MRI for visualization of Lenticulostriate Arteries
  • Implement training and inference pipeline for PD to WIP modality conversion.
  • Implement UNet, CGAN, Cycle GAN as baseline methods.
  • Propose and implement condiction DDPM for PD to WIP modality conversion.
sym

Sensetime Research | Researcher | Jul. 2021 – Nov. 2022

  • Change detection in remote sensing reaching 80% in precision and recall.
  • Reproduce several SOTA papers in semantic segmentation and remote sensing.
  • Research: sample efficiency (self-supervised, semi-supervised and weakly supervised learning).
sym

WeBank | Machine Learning Engineer | Jun. 2020 - Sep. 2020

  • Public Sentiment and Risk Control Project: text analysis based on big data, distributed training, and Hadoop clusters.
  • Train an NLP model on web-crawled news text based on bert, xgboost, etc. and build a textual processing system based on Hadoop clusters; conduct spam classification and sentiment analysis.
  • Iteratively improve the trained spam classification model with real-time data and problems.

📖 Educations

sym

Johns Hopkins University | M.S.E. in Data Science
Jan. 2023 – Present

  • GPA: 4.0 / 4.0
sym

South China University of Technology | B.E. in Computer Science
Sep. 2018 – Jul. 2022

  • GPA: 3.73 /4.0
  • 2018-19 Scholarship
  • Outstanding Thesis Awards
sym

The Affiliated High School of South China Normal University | High School Diploma
Sep. 2015 – Jul. 2018

📚 Service

Teaching

sym

📚 Miscellaneous

Football

I enjoy playing football. It’s fortunate to be in the Football Varsity Team, School of Computer Science and Engineering and won

  • 2020 “Golden Sunshine Cup” college football match Gold Medal.
  • 2020 11th college inter-academic football league Championship.
  • 2019 “Golden Sunshine Cup” college football match Silver Medal.
  • 2019 10th college inter-academic football league Second Place.


  Meet our team!

Traveling

I am fond of journeying to places where nature’s beauty is unspoiled and history’s echoes are still heard. Some recent travels.

  • Ganden Sumtsenling (left) and Meili Snow Mountains (right).


  • Suzhou City (left) and Humble Administrator’s Garden (right).


  • My homepage photo is taken at the Suzhou Museum.

  1. Chinese spelling of my name is 黎羿江。 

  2. I am fortunate to collaborate with Yuzhi XU from NYU.