👋 Hello! / 你好! / こんにちは! / 안녕하세요! / Bonjour! / Guten Tag! / Hola! / Ciao! / السلام عليكم!
I'm a rising-junior Ph.D. candidate in Computer Science at University of Illinois at Urbana-Champaign.
I obtained my bachelor's degree in Computer Engineering from both 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 building world models through orchestrated intelligence. Specifically,
- Compositionality of Pretrained Models.
- Multi-Modality and Heterogeneity.
- Learning from Structured Data/Models.
- Responsibility and Societal Benefit.
Feel free to drop an email: violet24k AT outlook DOT com, to discuss potential collaborations!
Google Scholar  / 
Github  / 
X (Twitter)  / 
LinkedIn  / 
Instagram   
|
Zihao Li
(李子豪)
"I believe we did."
|
📌 Pinned
I'm in Boston for summer 2025. Let me know if you are around and want to grab a coffee/lobster ☕️🦞!
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:
- [May 2025] One paper accepted by ACL 2025.
- [May 2025] One paper accepted by ICML 2025.
- [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?"
Amazon AGI, Boston, Massachusetts, USA
Applied Scientist Intern • May.-Aug. 2025
Conversational AI, Central Analytics & Research Science (CARS) Group
Mentor: Dr. Gopinath Chennupati, Manager: Dr. Rinat Khaziev
|
|
Microsoft Research Asia, Shanghai, China
Research Intern • Jun.-Sep. 2024
LLM & AI Agents, Shanghai AI/ML Group
Mentor: Dr. Kaitao Song, Manager: Dr. Dongsheng Li
|
|
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]
|
|
Publications (*equal contribution)
"Genius is no guarantee of wisdom."
Conference
|
-
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
ACL 2025 (Main, Full Research). AR: ~20%.
- Learnable Spatial-Temporal Positional Encoding for Link Prediction.
Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He
ICML 2025 (Full Research). AR: 26.9%. Code
- 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
-
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
KDD 2024 (Tutorial + Survey). Website
-
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
-
CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong
Available on Arxiv. Code
-
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning
Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He
Available on Arxiv.
-
Chain-of-Model Learning for Language Model
with Microsoft Research
Available on Arxiv. HuggingFace Twitter Thread
-
ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method
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. Code
-
GTR: Graph-Table-RAG for Cross-Table Question Answering
Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He
Available on Arxiv.
-
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
-
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
-
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
-
Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality
Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He
Available on Arxiv.
-
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.
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)
2025: KDD (Excellent Reviewer), ICLR, ICASSP, AISTATS, ICML, IEEE IJCNN, ARR Rolling Review, NeurIPS, CIKM
2024: KDD, CIKM, NeurIPS, IEEE DSAA, LoG
2023: IEEE BigData
|
Awards
"It won't be for you, it would be for them."
- Best Student Poster Award, IBM-Illinois Discovery Accelerator Institute (Award)
2025
- 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
|
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).
|
|