Zemin Liu
百人计划研究员
Researches graph neural networks and graph representation learning, including few-shot and imbalanced learning on graphs, plus multimodal large models and device-cloud collaboration of large and small models.
Zemin Liu's lab at Zhejiang works on graph learning, generative & foundation models and vision-language & multimodal. 14 papers since 2023, 12 at top venues, mostly WWW and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 86%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 5 papers2024 · T1 5
- 9 papers2023 · T1 7
T1 venuesOtherVenues: WWW, AAAI, ICLR, NeurIPS, WSDM
Research focuspaper titles that use each topic's words
- Graph learning10 papers
- graph9 papers
- Generative & foundation models0 papers
- Vision-language & multimodal0 papers
- researches graph0 papers
Paper list
From the lab homepage.
20245 papers
- ICLR (T1)Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
- ICLR (T1)ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter
- WWW (T1)Full-Attention Driven Graph Contrastive Learning: with Effective Mutual Information Insight
- AAAI (T1)HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning
- ICLR (T1)Partitioning Message Passing for Graph Fraud Detection
20239 papers
- WSDM (T1)Cooperative Explanations of Graph Neural Networks
- NeurIPS (T1)Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
- WWW (T1)GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)HeteroCS: A Heterogeneous Community Search System With Semantic Explanation
- WWW (T1)HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer
- AAAI (T1)Learning to Count Isomorphisms with Graph Neural Networks
- WWW (T1)Link Prediction on Latent Heterogeneous Graphs
- —Locality-Aware Tail Node Embeddings on Homogeneous and Heterogeneous Networks
- AAAI (T1)On Generalized Degree Fairness in Graph Neural Networks
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- The lab homepage
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