Zemin Liu
20 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (14) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🏃 Academic Marathon (5)
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Interdisciplinary Bridge
🌍
Conference Polyglot
(7)
🧬
Topic Evolution
🏆
Grand Slam
👑
Triple Crown
🗃️
Keyword Collector
(69)
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Prolific Year
(5)
💎
Century Club
(18)
🔥
Unstoppable
(5)
Conferences
AAAI (6)
ICLR (4)
IJCAI (3)
NIPS (3)
ICML (2)
ACL (1)
EMNLP (1)
Top co-authors
Research topics
Keywords
graph neural network
(8)
node classification
(3)
language model
(3)
few-shot learning
(2)
representation learning
(2)
heterogeneous graph
(2)
text generation
(2)
graph representation learning
(2)
ancient chinese
(1)
knowledge representation
(1)
transfer learning
(1)
speech processing
(1)
information extraction
(1)
grammatical error correction
(1)
adversarial robustness
(1)
historical linguistics
(1)
graph structure
(1)
prompt learning
(1)
message passing
(1)
distributed learning
(1)
Papers
THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs
AAAI 2026
JELV: A Judge of Edit-Level Validity for Evaluation and Automated Reference Expansion in Grammatical Error Correction
AAAI 2026
Analyzing and Mitigating Inconsistency in Discrete Speech Tokens for Neural Codec Language Models
ACL 2025
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer
IJCAI 2025
Multi-Label Node Classification with Label Influence Propagation
ICLR 2025
Adapting Precomputed Features for Efficient Graph Condensation
ICML 2025
One-shot Federated Learning Methods: A Practical Guide
IJCAI 2025
Partitioning Message Passing for Graph Fraud Detection
ICLR 2024
Revisiting Score Propagation in Graph Out-of-Distribution Detection
NIPS 2024
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning
AAAI 2024
PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study
EMNLP 2024
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
ICLR 2024
EX-Graph: A Pioneering Dataset Bridging Ethereum and X
ICLR 2024
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
ICML 2024
Learning to Count Isomorphisms with Graph Neural Networks
AAAI 2023
On Generalized Degree Fairness in Graph Neural Networks
AAAI 2023
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
NIPS 2023
LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank
NIPS 2022
Node-wise Localization of Graph Neural Networks
IJCAI 2021
Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph
AAAI 2021