yueliu1999

yueliu1999

User data from Github https://github.com/yueliu1999

Company:National University of Singapore

Location:Singapore

Home Page:yueliu1999.github.io

GitHub:@yueliu1999

yueliu1999's repositories

Awesome-Deep-Graph-Clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Language:PythonLicense:MITStargazers:946Issues:17Issues:13

Awesome-Jailbreak-on-LLMs

Awesome-Jailbreak-on-LLMs is a collection of state-of-the-art, novel, exciting jailbreak methods on LLMs. It contains papers, codes, datasets, evaluations, and analyses.

Dink-Net

[ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".

Language:PythonLicense:MITStargazers:227Issues:13Issues:5

GuardReasoner

[ICLR Workshop 2025] An official source code for paper "GuardReasoner: Towards Reasoning-based LLM Safeguards".

FlipAttack

[ICLR Workshop 2025] An official source code for paper "FlipAttack: Jailbreak LLMs via Flipping".

KAN4Graph

Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs

Language:PythonLicense:MITStargazers:58Issues:1Issues:0

ELCRec

[NeurIPS 2024] An official source code for paper "End-to-end Learnable Clustering for Intent Learning in Recommendation".

Language:PythonLicense:MITStargazers:53Issues:3Issues:4

Awesome-Efficient-Inference-for-LRMs

https://arxiv.org/pdf/2503.23077

Stargazers:45Issues:0Issues:0

Awesome-Deep-Group-Recommendation

Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).

License:MITStargazers:39Issues:1Issues:0

RGC

[ACM MM 2023] An official source code for paper Reinforcement Graph Clustering with Unknown Cluster Number.

Language:PythonLicense:MITStargazers:34Issues:2Issues:3

SCGC

[TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".

Language:PythonLicense:MITStargazers:33Issues:1Issues:1

yueliu1999.github.io

Yue Liu's HomePage.

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awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

Stargazers:3Issues:0Issues:0

ITR

[NeurIPS 2024] An official source code for paper "Identify Then Recommend: Towards Unsupervised Group Recommendation".

Language:PythonStargazers:3Issues:0Issues:0

KAN4Rec

Implementation of Kolmogorov-Arnold Network (KAN) for Recommendations

Language:PythonLicense:MITStargazers:3Issues:0Issues:0

awesome-llm-security

A curation of awesome tools, documents and projects about LLM Security.

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Awesome-LLM-Strawberry

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

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Awesome-Long2short-on-LRMs

Awesome-Long2short-on-LRMs is a collection of state-of-the-art, novel, exciting long2short methods on large reasoning models. It contains papers, codes, datasets, evaluations, and analyses.

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Awesome-LRM-Safety

Awesome Large Reasoning Model(LRM) Safety.This repository is used to collect security-related research on large reasoning models such as DeepSeek-R1 and OpenAI o1, which are currently very popular.

Language:PythonStargazers:1Issues:0Issues:0

Awesome-LVLM-Safety

A curated list of resources dedicated to the safety of Large Vision-Language Models. This repository aligns with our survey titled A Survey of Safety on Large Vision-Language Models: Attacks, Defenses, and Evaluations.

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Awesome-LLM-Post-training

Awesome Reasoning LLM Tutorial/Survey/Guide

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Awesome-LLM-Reasoning

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓

License:MITStargazers:0Issues:0Issues:0
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Awesome-System2-Reasoning-LLM

Latest Advances on System-2 Reasoning

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SMDL-Attribution

[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection

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SSLRec

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

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