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Wei Ju

31 papers · 2022–2026 · 10 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (65) 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Gold 🀝 Dynamic Duo (24) πŸ† Grand Slam
🀝 Dynamic Duo (24) πŸ—ƒοΈ Keyword Collector (159) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Prolific 🌈 Renaissance Researcher (9) πŸ’Ž Century Club Β· Bronze

Venues

AAAI (8) ICML (7) IJCAI (4) ACL (3) EMNLP (3) NAACL (2) ACML (1) CVPR (1) ICLR (1) NeurIPS (1)

Top co-authors

Ming Zhang (24) Zhiping Xiao (19) Xiao Luo (18) Yifan Wang (13) Junyu Luo (10) Yusheng Zhao (6) Siyu Yi (6) Jingyang Yuan (5) Yifang Qin (5) Yiyang Gu (5)

Research topics

Machine Learning (26) Deep Learning (24) Artificial Intelligence (19) Architectures (17) Core AI (15) Learning Types Β· Machine Learning (15) Core Methods (13) Application Areas (10) Learning Types Β· Deep Learning (6) Models (6) Data Science & Analytics (4) Applications (4) Optimization & Theory (4) Natural Language Processing (3) Learning Paradigms (3)

Keywords

graph neural network (13) large language model (5) contrastive learning (4) adversarial learning (4) graph classification (3) representation learning (3) self-supervised learning (3) prototype learning (2) variational inference (2) domain adaptation (2) disentangled representation (2) semi-supervised learning (2) distribution shift (2) diffusion model (2) domain generalization (1) uncertainty quantification (1) few-shot learning (1) test-time adaptation (1) graph clustering (1) masked language model (1)

Papers

Calibrating Inference Time Alignment with Sequence-level Risk Accumulation ACL 2026 CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing AAAI 2026 Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data AAAI 2026 FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering AAAI 2026 Progressive Neural Architecture Generation CVPR 2026 A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025 Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation ACML 2025 Cluster-guided Contrastive Class-imbalanced Graph Classification AAAI 2025 DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning ICML 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025 Embracing Large Language Models in Traffic Flow Forecasting ACL 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 LEAF: Large Language Diffusion Model for Time Series Forecasting EMNLP 2025 MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation NAACL 2025 Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness EMNLP 2025 PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment IJCAI 2025 Semi-supervised Fine-tuning for Large Language Models NAACL 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 Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes ICML 2025 TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025 A Survey of Data-Efficient Graph Learning IJCAI 2024 EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics NeurIPS 2024 Hypergraph-enhanced Dual Semi-supervised Graph Classification ICML 2024 PGODE: Towards High-quality System Dynamics Modeling ICML 2024 Rank and Align: Towards Effective Source-free Graph Domain Adaptation IJCAI 2024 GLCC: A General Framework for Graph-Level Clustering AAAI 2023 HOPE: High-order Graph ODE For Modeling Interacting Dynamics ICML 2023 DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation AAAI 2022 TGNN: A Joint Semi-supervised Framework for Graph-level Classification IJCAI 2022