Yanwei Yue 岳彦伟

Logo B.S., Tongji University

I'm Yanwei Yue, a senior undergraduate student in the School of Computer Science, Tongji University. During my undergraduate studies, my GPA ranked first in my major. I alse won National Scholarship twice. Additionally, I won 12 competition awards including 4 awards at the national level. I am broadly interested in LLM Agents and efficient AI. My contribution has led to 6 papers submitted by top-tier computer science conferences, including ICML, ICLR, AAAI, etc.


Education
  • Tongji University

    Tongji University

    B.S. in Data Science and Big Data Sep. 2020 - Jul. 2025

Honors & Awards
  • National Scholarship in Tongji University 20232024
  • First Prize in China Undergraduate Mathematical Contest in Modelling 2023
  • Second Prize of Global Campus Artificial Intelligence Algorithm Elite Competition 2023
  • the 7th Place in CCF Sentence Commutation Prediction Competition 2022
  • Meritorious Winner of American Methematical Contest In Modeling 2023
  • First Prize of National College Statistical Modeling Competition in Shanghai Area 2023
Research interests
  • LLM Agent : Multi-agent Collaboration, Social Scene Simulation
  • Efficient AI : Sparsity, Model Lightweighting
  • Data Mining : Graph Learning, Graph Sparsification
News
2024
MoG is submitted to NeurIPS 2024
May 05
GST is accepted to ICML'24!
May 02
AdaGLT is accepted to ICLR'24!
Jan 16
Selected Publications (view all )
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness

Guibin Zhang†, Yanwei Yue†, Kun Wang*, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen* († equal contribution, * corresponding author)

International Conference on Machine Learning (ICML) 2024 Poster

We combine topology-guided pruning and semantic-based pruning, conduct limited training on the original graph to build reliable anchor.And then dynamic sparse training is performed using anchor as semantic and topological benchmarks to obtain better sparse graphs.

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness

Guibin Zhang†, Yanwei Yue†, Kun Wang*, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen* († equal contribution, * corresponding author)

International Conference on Machine Learning (ICML) 2024 Poster

We combine topology-guided pruning and semantic-based pruning, conduct limited training on the original graph to build reliable anchor.And then dynamic sparse training is performed using anchor as semantic and topological benchmarks to obtain better sparse graphs.

Graph Lottery Ticket Automated
Graph Lottery Ticket Automated

Guibin Zhang†, Kun Wang†, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng*, Yuxuan Liang* († equal contribution, * corresponding author)

International Conference on Learning Representations (ICLR) 2024 Poster

We train the edge learner in the global perspective and learn row-wise thresholds in the node perspective for pruning through trainable edge weights and threshold vectors.It implements an Adaptive,Dynamic,Automatic process to find winning tickets.

Graph Lottery Ticket Automated
Graph Lottery Ticket Automated

Guibin Zhang†, Kun Wang†, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng*, Yuxuan Liang* († equal contribution, * corresponding author)

International Conference on Learning Representations (ICLR) 2024 Poster

We train the edge learner in the global perspective and learn row-wise thresholds in the node perspective for pruning through trainable edge weights and threshold vectors.It implements an Adaptive,Dynamic,Automatic process to find winning tickets.

All publications