Scholar
Lirong Wu
Google Scholar ID: Tk7TrCoAAAAJ
Zhejiang University & Westlake University
Citations & Impact
Citations
3,882
H-index
32
i10-index
53
Publications
20
Co-authors
7
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top international conferences and journals such as ICLR, AAAI, NeurIPS, TNNLS, CIKM, TKDE, ICML, etc. Specific publications include:
- - Four papers on AI4Science accepted by ICLR 2025 (1 Spotlight).
- - Three papers on AI4Science accepted by AAAI 2025 (1 Oral).
- - Three papers on AI4Science accepted by NeurIPS 2024.
- - One paper on graph contrastive learning accepted by TNNLS.
- - One paper on graph knowledge distillation accepted by CIKM 2024.
- - Five papers on AI4Science accepted by ICML 2024 (1 Spotlight).
- - One paper on graph knowledge distillation accepted by TKDE.
- - Two papers on AI4Science and graph SSL accepted by ICLR 2024 (1 Spotlight).
- - Three papers on AI4Science accepted by AAAI 2024.
- - Four papers on AI4Science and video prediction accepted by NeurIPS 2023.
- - One paper on graph augmentation accepted by ECML 2023.
- - One paper on graph knowledge distillation accepted by ICML 2023.
- - One paper on graph structure learning accepted by TNNLS.
- - One paper on heterogeneous graph accepted by TNNLS.
- - One paper on graph knowledge distillation accepted by AAAI 2023 (Oral).
- - Two papers on graph augmentation and attack accepted by NeurIPS 2022 (1 Spotlight).
- - One paper on mixup augmentation accepted by ECCV 2022 (Oral).
- - One paper on class-imbalanced classification accepted by ECML 2022 (Oral).
- - One paper on deep clustering accepted by TNNLS.
- - One paper on graph contrastive learning accepted by WWW 2022.
- - One paper on graph self-supervised learning accepted by TKDE.
- - One paper on label denoising accepted by ACM MM 2021 (Oral).
- - One paper on video compression accepted by TCSVT.
Research Experience
- Main research areas include graph self-supervised learning, heterogeneous/homophily graph learning, graph knowledge distillation, and AI4Science (drug discovery). Published multiple papers in top international conferences and journals.
Education
- 2020.09-Present Ph.D. in CAIRI, Westlake University, Supervisor: Prof. Stan Z. Li; 2016.09-2020.06 B.E. in ISEE, Zhejiang University, Supervisor: Prof. Kejie Huang
Background
- Research Interests: Graph Self-supervised Learning, Heterogeneous/Homophily Graph Learning, Graph Knowledge Distillation, AI4Science (Drug Discovery)
Miscellany
- Welcome to contact me about research or internship by emails or WeChat (LirongWu_98).
