Langzhang Liang

PhD student, Fudan University

Joined

September 2022

Names

Langzhang Liang (Preferred)

Emails

****@gmail.com (Confirmed)

****@kaist.ac.kr (Confirmed)

****@m.fudan.edu.cn (Confirmed)

Personal Links

Career & Education History

PhD student

Fudan University (fudan.edu.cn)

2025 – Present

PhD student

Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science & Technology (kaist.ac.kr)

2024 – 2025

Advisors, Relations & Conflicts

PhD Advisor

Tianlei Ying

2026 – Present

PhD Advisor

Zenglin Xu

2025 – Present

Coauthor

Shirui Pan

2024 – Present

Expertise

graph neural networks

2021 – 2024

Publications

Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin
- ICML 2025 poster
- Readers: Everyone
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye
- IEEE Trans. Knowl. Data Eng. 2024
- Readers: Everyone
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi
- ICML 2024 Poster
- Readers: Everyone
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi
- ICML 2024
- Readers: Everyone
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King
- NeurIPS 2023 poster
- Readers: Everyone
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily
Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King
- NeurIPS 2023
- Readers: Everyone
Low-Rank Graph Neural Networks Inspired by the Weak-balance Theory in Social Networks
Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone

Langzhang Liang

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification

Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs

Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily

Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily

Low-Rank Graph Neural Networks Inspired by the Weak-balance Theory in Social Networks

Co-Authors