👋 Hello! / 你好! / こんにちは! / 안녕하세요! / Bonjour! / Guten Tag! / Hola! / Ciao! / السلام عليكم!
I'm a sophomore Ph.D. student 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!
Semantic Scholar  / 
Google Scholar  / 
Github  / 
Twitter  / 
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Zihao Li
(李子豪)
"I believe we did."
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📌 Pinned
I am looking for a research internship for 2025 summer in the US and am interested to know any recruitment openings.
📣 News:
- [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, ZJU and UIUC [expand]
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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 2024 (Full Research). AR: 19%. Manuscript and Code are in preparation.
- 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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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.
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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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Parametric Representation of Graphs: Progresses, Challenges, and Opportunities
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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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:
2025: KDD, ICLR, LoG, ICASSP, AISTATS, IEEE TKDE
2024: KDD, CIKM, NeurIPS, IEEE DSAA
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
2018
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Acknowledgement
"Do not go gentle into that good night"
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 -> Ph.D@Rutgers CS)
Hengyu Liu (Undergrad -> Master@UIUC CS)
Jie Wang (Undergrad -> Master@UPenn)
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