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Hi there 👋

  • 🔭 I'm now a CS PhD student at HKUST CSE department, supervised by Prof. Xiaofang Zhou.
  • 🤔 I’m currently working on graph machine learning and large language models.
  • 📫 How to reach me: Please refer to my personal site and my blogs.

YLiu's Projects

code-act icon code-act

Official Repo for paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.

communitygan icon communitygan

A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)

coop icon coop

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

deeprobust icon deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

format-udf icon format-udf

Bash script to format a block device (hard drive or Flash drive) in UDF. The output is a drive that can be used for reading/writing across multiple operating system families: Windows, macOS, and Linux. This script should be capable of running in macOS or in Linux.

g-meta icon g-meta

Graph meta learning via local subgraphs (NeurIPS 2020)

gadbench icon gadbench

"GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023

glados-checkin-1 icon glados-checkin-1

GLaDOS-checkin,通过 github action 进行自动签到,每天延时一天,签到一定次数后奖励会变少。

gnn4cd icon gnn4cd

Supervised community detection with line graph neural networks

graph-group-discrimination icon graph-group-discrimination

Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination"

graphmae2 icon graphmae2

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

heterophilous-graphs icon heterophilous-graphs

A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?

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