👋 Hello! / 你好! / こんにちは! / 안녕하세요! / Bonjour! / Guten Tag! / Hola! / Ciao! / السلام عليكم!
I'm a sophomore Ph.D. candidate in Computer Science at University of Illinois at Urbana-Champaign.
Prior to joining UIUC in 2023, I received my bachelor's degree in Computer Engineering from UIUC and Zhejiang University with Summa Cum Laude.
I work as a member in UIUC DAIS Group (Specifically iDEA-iSAIL Group) with Prof. Jingrui He towards:
- Learning on Graphs.
- LLM-based Multi-agent Systems.
- Multi-modality Generative Models.
- AI Governance/Policy.
Feel free to drop an email: violet24k AT outlook DOT com, to discuss potential collaborations!
Google Scholar  / 
Github  / 
Twitter  / 
LinkedIn   
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Zihao Li
(李子豪)
"I believe we did."
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📌 Pinned
Check our newly released graph self-supervised learning toolkit! [📝 Paper] [💻 GitHub]
How can we describe a graph to LLMs? We systematically survey the parametric representation of graphs! [📝 Paper]
📣 News:
- [Mar 2025] I will join Amazon AGI as an applied scientist intern this summer.
- [Nov 2024] One paper accepted by KDD 2025.
- [Sep 2024] One paper accepted by NeurIPS 2024.
- [Apr 2024] Take a look at our KDD'24 survey regarding contrastive learning for foundation models.
- [Mar 2024] I will join Microsoft Research Asia as a research intern this summer.
- [Mar 2024] One paper accepted by SIGIR 2024.
- [Aug 2023] Officially started my Ph.D. journal at UIUC CS. Let's go Illini!
Experience
"Why limit yourself to just one dogma?"
Microsoft Research Asia, Shanghai, China
Research Intern • Jun.-Sep. 2024
LLM & AI Agents, Shanghai AI/ML Group
Mentor: Dr. Kaitao Song
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Teaching Assistant, UIUC and ZJU [expand]
- CS 357: Numerical Methods I (Spring 2025), with
Mariana Silva, UIUC.
[Course Website]
- ECE/CS 438: Communication Networks (Fall 2022), with
Romit Roy Choudhury, UIUC.
[Course Website]
[Course Page]
- Math 257: Linear Algebra with Computational Applications (Fall 2022), with
Thomas Honold, ZJU-UIUC Institute.
[Course Website]
[Course Syllabus]
- Math 241: Calculus Ⅲ (Fall 2021), with
Thomas Honold, ZJU-UIUC Institute.
[Course Syllabus]
- Math 231: Calculus Ⅱ (Fall 2020), with
Nikolai Docuchaev, ZJU-UIUC Institute.
[Course Syllabus]
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Publications (*equal contribution)
"Genius is no guarantee of wisdom."
Conference
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- APEX2: Adaptive and Extreme Summarization for Personalized Knowledge Graphs.
Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He
KDD 2025 (Full Research). AR: 19%. Code
- PageRank Bandits for Link Prediction
Yikun Ban*, Jiaru Zou*, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
NeurIPS 2024 (Full Research). AR: 25.8%. Code
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Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
KDD 2024 (Tutorial + Survey). Website
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SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
Zihao Li, Yuyi Ao, Jingrui He
SIGIR 2024 (Short). AR: 24%. Code
- Everything Evolves in Personalized PageRank
Zihao Li*, Dongqi Fu*, Jingrui He
TheWebConf 2023 (Full Research and Oral). AR: 19.2%. Code
       Preprint
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ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method
Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He
Available on Arxiv. Code
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GTR: Graph-Table-RAG for Cross-Table Question Answering
Dongqi Fu, Yada Zhu, Zhining Liu, Lecheng Zheng, Xiao Lin, Zihao Li, Liri Fang, Katherine Tieu, Onkar Bhardwaj, Kommy Weldemariam, Hanghang Tong, Hendrik Hamann, Jingrui He
Available on Arxiv.
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Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik Hamann, Hanghang Tong, Jingrui He
Available on Arxiv. Code
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PyG-SSL: A Graph Self-Supervised Learning Toolkit
Lecheng Zheng*, Baoyu Jing*, Zihao Li*, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He
Available on Arxiv. Code
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Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han
Available on Arxiv.
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Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs
Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He
Available on Arxiv. Code
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Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality
Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He
Available on Arxiv.
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What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs
Dongqi Fu*, Liri Fang*, Zihao Li*, Hanghang Tong, Vetle I. Torvik, Jingrui He
Available on Arxiv.
Open-sourced Projects
"Theory will only take you so far."
RLHF-Reward-Modeling
Cookbook of reproducibly training SOTA reward models.
Collborated with Wei Xiong and Prof. Tong Zhang.
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PyG-SSL
Graph Self-Supervised Learning Toolkit.
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HowToUIUC
Guide for international students to survive (cozily) at UIUC.
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Services
"Together, we can unlock the secrets of the natural world and build a better future for all."
Program Committee/Reviewer:
Journals: IEEE TKDE (2024)
2025: KDD (Excellent Reviewer), ICLR, ICASSP, AISTATS, ICML, IEEE IJCNN, ACL, NeurIPS, CIKM
2024: KDD, CIKM, NeurIPS, IEEE DSAA, LoG
2023: IEEE BigData
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Awards
"It won't be for you, it would be for them."
- Golub Endowment (one-year Ph.D. fellowship)
2023
- National Scholarship of China (top 0.2%, highest honor)
2022
- Zhejiang University Scholarship - First Prize (top 3%)
2022
- The Mathematical Contest in Modeling - Meritorious Winner (top 7%)
2022
- Provincial Government Scholarship of Zhejiang Province (top 3%)
2021
- Chinese Mathematical Olympiad - Bronze Medal (Provincial 7th, National 294th)
2018
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Acknowledgement
"Do not go gentle into that good night"
My Ph.D. study has been supported by IBM-Illinois Discovery Accelerator Institute.
In my undergraduate years, I have fortunately collaborated with (alphabetically)
Prof. Yan Chen (NWU, IL),
Prof. Jingrui He (UIUC),
Prof. Simon Hu (ZJU),
Prof. Zuozhu Liu (ZJU),
Prof. Klaus-Dieter Schewe (ZJU),
Prof. Lav R. Varshney (UIUC).
Many thanks to anyone who guided or helped me.
Also, I'm very thankful to the research interns that I have worked with:
Jingyuan Huang (Undergrad'24 -> Ph.D@Rutgers CS)
Hengyu Liu (Undergrad'24 -> Master@UIUC CS -> Ph.D@UIUC CS)
Jie Wang (Undergrad'24 -> Master@UPenn)
Yuyi Ao (Undergrad'25 -> Master@CMU CS; National Scholarship Awardee & Provincial Outstanding Graduate.)
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Miscellaneous
I enjoy both watching and playing soccer⚽ (real "foot"ball) games.
My squad number is 22 = 10(Attacking Midfielder)
+ 8(Central Midfielder or Box-to-Box Midfielder)
+ 4(Defensive Midfielder or Centre Back).
I like frisbee🥏 as well.
I love Jazz and LoFi music🎧. I play the piano🎹 myself and am a big fan of ANIMENZ. I love Whiskey🥃 and used to bartend🍸 myself.
My Erdős number is 4 (Dr. Paul Erdős - Dr. Alexandr V. Kostochka - Dr. Jaehoon Kim - Dr. Hanghang Tong - Noob. Zihao Li).
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