Wei Ju
29 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π Conference Polyglot (8)
π
Conference Polyglot
(8)
π¬
Deep Specialist
(12)
π€
Dynamic Duo
(23)
π
Grand Slam
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Keyword Champion
(4)
ποΈ
Keyword Collector
(112)
β‘
Prolific Year
(5)
π
Century Club
(25)
π₯
Unstoppable
(5)
Conferences
AAAI (8)
ICML (7)
IJCAI (4)
ACL (3)
EMNLP (3)
NAACL (2)
ICLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
graph neural network
(11)
large language model
(5)
contrastive learning
(4)
adversarial learning
(3)
graph classification
(3)
representation learning
(3)
prototype learning
(2)
domain adaptation
(2)
semi-supervised learning
(2)
disentangled representation
(2)
domain generalization
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
source-free domain adaptation
(1)
few-shot learning
(1)
hierarchical representation
(1)
graph clustering
(1)
synthetic data generation
(1)
class imbalance
(1)
supervised contrastive learning
(1)
Papers
Calibrating Inference Time Alignment with Sequence-level Risk Accumulation
ACL 2026
FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering
AAAI 2026
Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data
AAAI 2026
CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing
AAAI 2026
Semi-supervised Fine-tuning for Large Language Models
NAACL 2025
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
AAAI 2025
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
ACL 2025
Embracing Large Language Models in Traffic Flow Forecasting
ACL 2025
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness
EMNLP 2025
LEAF: Large Language Diffusion Model for Time Series Forecasting
EMNLP 2025
Cluster-guided Contrastive Class-imbalanced Graph Classification
AAAI 2025
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
ICLR 2025
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
ICML 2025
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
ICML 2025
Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
ICML 2025
ExLM: Rethinking the Impact of $\texttt[MASK]$ Tokens in Masked Language Models
ICML 2025
HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning
EMNLP 2025
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
AAAI 2025
PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment
IJCAI 2025
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation
NAACL 2025
PGODE: Towards High-quality System Dynamics Modeling
ICML 2024
Hypergraph-enhanced Dual Semi-supervised Graph Classification
ICML 2024
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
NIPS 2024
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
IJCAI 2024
A Survey of Data-Efficient Graph Learning
IJCAI 2024
HOPE: High-order Graph ODE For Modeling Interacting Dynamics
ICML 2023
GLCC: A General Framework for Graph-Level Clustering
AAAI 2023
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
IJCAI 2022
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation
AAAI 2022