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Wei Ju

Sichuan University, College of Computer Science, Chengdu, China

38 papers at tracked venues · 29 at CORE A* · active 2024–2026

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Venues

AAAI ×6ICML ×6ACL ×4NeurIPS ×4ACM MM ×3EMNLP ×3IJCAI ×3SIGKDD ×3NAACL ×2WWW ×2CIKM ×1ICLR ×1

Frequent coauthors

Yusheng Zhao
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Junyu Luo
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Yiyang Gu
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Yifan Wang
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Haodong Zhang
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Yuhang Pei
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Xin Ma
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Kangjie Zheng
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Xiao Luo
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Shanwen Tan
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Shunge Zou
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Wei Zhang
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Papers

  1. Calibrating Inference Time Alignment with Sequence-level Risk Accumulation
    ACL 2026 ·
    Shanwen Tan
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  2. CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing
    AAAI 2026 ·
    Yiyang Gu
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  3. DANCE: Diversity-attended Dynamic Caching with Asymmetric Quantization for Test-time Adaptation of Vision-Language Models
    ACL 2026 ·
    Shunge Zou
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  4. DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation
    SIGKDD 2026 ·
    Haodong Zhang
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  5. Dual Data-centric Separation with Circular Mixup for Noise-resistant Time Series Learning
    SIGKDD 2026 ·
    Yuhang Pei
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  6. Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data
    AAAI 2026 ·
    Wei Zhang
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  7. FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering
    AAAI 2026 ·
    Haodong Zhang
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  8. KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection
    WWW 2026 ·
    Yifan Wang
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  9. Long-Tailed Recognition of Evidential Experts for Graph-level Classification
    WWW 2026 · Wei Ju
  10. A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
    ACL 2025 ·
    Junyu Luo
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  11. CODE: Towards Partial Label Graph Learning via Coupled Dual Separation
    ACM MM 2025 ·
    Yiyang Gu
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  12. Cluster-guided Contrastive Class-imbalanced Graph Classification
    AAAI 2025 · Wei Ju
  13. DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
    ICML 2025 ·
    Yifan Wang
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  14. DATE: Dual Prompt Learning with Information Bottleneck for Graph Out-of-Distribution Generalization
    ACM MM 2025 ·
    Jiayi Zeng
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  15. Deep Graph Clustering with Disentangled Representation Learning
    ACM MM 2025 ·
    Yifan Wang
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  16. DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
    AAAI 2025 ·
    Hourun Li
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  17. Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation
    NeurIPS 2025 ·
    Xin Ma
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  18. Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
    NeurIPS 2025 ·
    Yusheng Zhao
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  19. Embracing Large Language Models in Traffic Flow Forecasting
    ACL 2025 ·
    Yusheng Zhao
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  20. ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models
    ICML 2025 ·
    Kangjie Zheng
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  21. Future Matters for Present: Towards Effective Physical Simulation over Meshes
    SIGKDD 2025 ·
    Xiao Luo
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  22. HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning
    EMNLP 2025 ·
    Ruochang Li
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  23. LEAF: Large Language Diffusion Model for Time Series Forecasting
    EMNLP 2025 ·
    Yuhang Pei
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  24. MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation
    NAACL 2025 ·
    Jinsheng Huang
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  25. Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness
    EMNLP 2025 ·
    Yusheng Zhao
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  26. PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment
    IJCAI 2025 ·
    Xin Ma
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  27. SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
    NeurIPS 2025 ·
    Yiyang Gu
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  28. SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
    ICLR 2025 ·
    Kangjie Zheng
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  29. Semi-supervised Fine-tuning for Large Language Models
    NAACL 2025 ·
    Junyu Luo
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  30. Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
    ICML 2025 ·
    Junyu Luo
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  31. TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
    AAAI 2025 ·
    Yusheng Zhao
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  32. Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
    ICML 2025 ·
    Yusheng Zhao
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  33. A Survey of Data-Efficient Graph Learning
    IJCAI 2024 · Wei Ju
  34. EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
    NeurIPS 2024 ·
    Jingyang Yuan
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  35. Hypergraph-enhanced Dual Semi-supervised Graph Classification
    ICML 2024 · Wei Ju
  36. MOAT: Graph Prompting for 3D Molecular Graphs
    CIKM 2024 ·
    Qingqing Long
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  37. PGODE: Towards High-quality System Dynamics Modeling
    ICML 2024 ·
    Xiao Luo
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  38. Rank and Align: Towards Effective Source-free Graph Domain Adaptation
    IJCAI 2024 ·
    Junyu Luo
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