My name is Hao Yan. Currently, I am a Phd Student in the Department of Computer Science at Central South University under the supervision of Professor Senzhang Wang. I received my Bachelor's degree in Mathematics and Applied Mathematics from Hefei University of Technology in 2021. From 2021 to present, I study in BigData 4 Urban Intelligence Lab lead by Professor Senzhang Wang. From August 2022 to January 2023, I interned in the Social Computing Group at Microsoft Research Asia, under the supervision of Senior Researcher Chaozhuo Li and focused on text-attributed graphs domain. From February 2023 to January 2024, I served as a remote research intern at Microsoft STCA, tracking research related to representation learning methods on text-attributed graphs.
My main research interests lie in
- Graph Neural Networks, Graph Contrastive Learning, Self-supervised Learning on Graphs
- Text-attributed Graphs, Multimodal attributed Graphs
- Large Language Model, LLMs for Graph
I am looking for a visiting Ph.D. If you are interested, please feel free to contact me. :-)
π Education
- 2023.09 - 2027.06, Phd Student in Computer Science, Central South University, China.
- 2021.09 - 2023.06, Master Student in Computer Science, Central South University, China.
- 2017.09 - 2021.06, Bachelor Student in Mathematics and Applied Mathematics, Hefei University of Technology, China.
π Publication
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking [CCF-A]
Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang.
MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models [CCF-B]
Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang.
Hierarchical Graph Contrastive Learning [CCF-B]
Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang.
Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning [CCF-B]
Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang.
When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning
Hao Yan, Chaozhuo Li, Zhigang Yu, Jun Yin, Ruochen Liu, Peiyan Zhang, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Senzhang Wang.
Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning [CCF-B]
Hao Yan, Senzhang Wang, Chaozhuo Li, Jun Yin, Philp S. Yu, Jianxin Wang.
ICLR 2023Learning on Large-scale Text-attributed Graphs via Variational Inference, Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang. [T1]NeurIPS 2023Train once and explain everywhere: Pre-training interpretable graph neural networks, Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang. [CCF-A]AAAI 2023Wsip: Wave superposition inspired pooling for dynamic interactions-aware trajectory prediction, Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang. [CCF-A]
π» Experience
- 2023.02 - 2024.01, Onsite Research Internship, Microsoft STCA, Beijing.
- 2022.08 - 2023.01, Research Internship, Microsoft Research Asia, Beijing.
π₯ News
- 2024.11: π Acquire National Scholarship of Central South University
- 2024.10: π Acquire First Academic Scholarship of Central South University
- 2024.08: πΌ Serve as the reviewer of ICLR 2025
π Honor and Award
- 2024.10: Top-notch and Innovative scholarship for Dortor of Central South University
- 2024.10: First Academic Scholarship of Central South University
β¨ Life
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Favorite Anime
ε°θ
Arcane εεδΉζ
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Favorite Game
League of Legends
League of Legends is a multiplayer online battle arena (MOBA) game in which the player controls a character ("champion") with a set of unique abilities from an isometric perspective. As of 2024, there are 168 champions available to play. Over the course of a match, champions gain levels by accruing experience points (XP) through killing enemies. Items can be acquired to increase champions' strength, and are bought with gold, which players accrue passively over time and earn actively by defeating the opposing team's minions, champions, or defensive structures. In the main game mode, Summoner's Rift, items are purchased through a shop menu available to players only when their champion is in the team's base. Each match is discrete; levels and items do not transfer from one match to another.
Arknights
Arknights (Chinese: ζζ₯ζΉθ; pinyin: MΓngrΓ¬ FΔngzhΕu; lit. 'Ark of Tomorrow') is a free-to-play tactical RPG/tower defense mobile game developed by Chinese developer Hypergryph. It was released in China on 1 May 2019, in other countries on 16 January 2020, and in Taiwan on 29 June 2020. Arknights is available on Android and iOS platforms and features gacha game mechanics.