Menglin Yang

Postdoc Associate At Yale University
10 Hillhouse Avenue, New Haven, CT 06511
Department of Computer Science, Yale University

Email: menglin.yang[@]yale[dot]edu; menglin.yang[@]outlook[dot]com
Google Scholar: https://scholar.google.com/citations?user=KroqSRUAAAAJ&hl
GitHub: https://github.com/marlin-codes
DBLP: https://dblp.org/pid/249/8541-1.html

About

Background. Menglin Yang is currently a Postdoctoral Associate at Yale University, working with Prof. Rex Ying. Prior to that, He obtained his Ph.D. from The Chinese University of Hong Kong, supervised by Prof. Irwin King.

Research Interests. His research is primarily focused on exploring the alignment and connection between the learning space, especially the hyperbolic space, and the underlying geometries, structures and patterns in different types of data.

Recently, he has been working the following topics:

• Hyperbolic Representation Learning
• Transformers
• Finetuning on Large Language Model
• Recommender Systems
• AI for Scientific Discovery

Feel free to reach out if you have anything you would like to discuss.

Selected Works (Full List)

1. [KDD 2024] Hypformer: Exploring Efficient Transformer in Hyperbolic space [PDF][Code]
   Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying

2. [Preprint] Hyperbolic Fine-tuning for Large Language Models [PDF]
   Menglin Yang, Aosong Feng, Bo Xiong, Jiahong Liu, Irwin King, Rex Ying

3. [KDD 2023] $\kappa$HGCN:Tree-likeness modeling via continuous and discrete curvature [PDF][Code]
   Menglin Yang, Min Zhou, Lujia Pan, Irwin King

4. [ICML 2023] Hierarchical Learning in Hyperbolic Space: Revisit and Beyond [PDF][Code]
   Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King

5. [TKDE 2022] Hyperbolic Temporal Network Embedding [PDF][Code]
   Menglin Yang, Min Zhou, Hui Xiong, Iriwn King

6. [KDD 2022] HICF: Hyperbolic Informative Collaborative Filtering (acceptance rate: 15.0%)[PDF][Code]
   Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King

7. [WWW 2022] HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization [PDF][Code]
   Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King

8. [Survey] Hyperbolic Graph Neural Networks: A Review of Methods and Application [PDF][GitHub]
   Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King

9. [KDD 2021] Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space [PDF] [Code]
   Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King

10. [ICDM 2020] FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding [PDF] [Code]
    Menglin Yang, Ziqiao Meng, Irwin King

11. [ICML 2024 GRAM Workshop] UHCone: Universal Hyperbolic Entailment Cone [PDF]
    Menglin Yang, Jiahong Liu, Irwin King, Rex Ying

Talks, Tutorials and Workshops

1. Text-Attributed Graph Representation Learning: Methods and Applications
   @WWW 2024.

2. Geometric Graph Learning: Methods and Applications
   @2023 Long Feng Science Forum by CUHKSZ, August 2023

3. Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications
   @KDD2023, August 2023

4. Geometric Graph Learning: Methods Applications and Opportunities
   @SUSTech Global Computer Scientist Forum. January 7, 2023

5. Hyperbolic Representation Learning: A Tutorial
   @ECML-PKDD 2022. August 23, 2022

6. Deep Learning on Graphs
   @DeepLearn 2022 Summer School. July 25-29, 2022

7. Deep Learning on Graphs
   @ICONIP 2020, Nov 18, 2020

8. Hyperbolic Representation Learning in Recommender System and Quant
   @Learning on Graphs Seminar. August 6, 2022

9. Hyperbolic Graph Neural Network: Methods and Applications
   @Huawei GNN Workshop Day. May 6, 2022

10. Hyperbolic Graph Neural Network for Recommender System
    @Search and Recommendation Section, Huawei Noah's Ark Lab. March 16, 2022