Scholar

Yijiang (William) Li

Google Scholar ID: Dx3z0m8AAAAJ

University of California San Diego

learningmulti-modalityvisiontrustworthy ml

Citations & Impact

All-time

Citations

444

H-index

i10-index

Publications

Co-authors

list available

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Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

2025: Three papers accepted to ICCV 2025
2025: One paper accepted to IEEE TPAMI
2025: Two first-author papers accepted to ICML 2025
2025: One paper accepted to ICLR 2025
2025: One paper accepted to CVPR 2025
2024: One paper accepted to AAAI 2025
2024: One paper accepted to TMLR
2023: Two papers accepted to ICCV 2023 (including one first-author)
2023: Paper 'Consistent-Teacher' selected as CVPR 2023 Highlight (top 2.5%)
2022: First-author paper 'More than encoder' presented at BIBM 2022; awarded Outstanding Thesis Award
Sep 2024: Awarded Jacobs Fellowship at UC San Diego

Research Experience

Conducting research on machine learning and multimodal AI during PhD at UC San Diego
Research Assistant at DREAM Lab, UIUC, advised by Prof. Haohan Wang
Research Assistant at CCVL, Johns Hopkins University, advised by Prof. Alan Yuille
Research Intern at Beijing Academy of Artificial Intelligence
Research Intern at SenseTime Research

Background

First-year PhD student in Machine Learning and Data Science, Department of Electrical and Computer Engineering, UC San Diego
Research focuses on learning aspects of AI, including efficient learning (e.g., label efficiency, sample efficiency, synthetic data) and robust learning
Interested in multi-modal, interactive, and 3D embodied learning environments
Specific interests: understanding and evaluating Multi-modal Large Language Models (MLLMs); using language as scaffolded representations for vision learning; 3D-aware architectures for MLLMs; emergence of 3D representations from 2D supervision; embodiment theory; learning with indirect feedback; and interactive learning
Also broadly interested in AI applications such as LLM Agents, AI for Science (AI4Sci), and AI for Health (AI4Health)
Co-founded GrowAI, a research organization promoting human-like growing AI

Co-authors

7 total