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Hi there 👋 I am Menglin Yang

I am currently a Postdoctoral researcher at Yale University. Before that, I obtained my Ph.D. from The Chinese University of Hong Kong, supervised by Prof. Irwin King.

My research interests are mainly in the fields of machine learning and data mining. Recently, I have been working on the following topics, including

  • Hyperbolic Geometry
  • Representation Learning
  • Recommender Systems
  • Large Language Models
  • AI for Drug Discovery (AI4Drug).

Please feel free to reach out to me if you have anything to discuss. You can find the hyperbolic learning groups at Slack: https://join.slack.com/t/hyperboliclearning/shared_invite/zt-1qcqgtwfr-HpsRSzDhvkAEal6dOnKDvA

Marlin's Projects

hicf icon hicf

PyTorch Implementation for "Hyperbolic Informative Collaborative Filtering(KDD2022)"

hie icon hie

PyTorch Implementation for "Hyperbolic Representation Learning: Revisiting and Advancing (ICML 2023)"

hrcf icon hrcf

PyTorch Implementation for "HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization(WWW2022)"

htgn icon htgn

PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"

khgcn icon khgcn

PyTorch Implementation for "κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning" (KDD 2023)

lkgr icon lkgr

PyTorch implementation for paper "Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation

llm-adapters icon llm-adapters

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

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