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Aidong Zhang

University of Virginia, Charlottesville, VA, USA

35 papers at tracked venues · 22 at CORE A* · active 2024–2026

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Venues

SIGKDD ×8AAAI ×7IJCAI ×5ICDM ×3ACL ×2ECCV ×2EMNLP ×2ICML ×2NeurIPS ×2ICCV ×1SDM ×1

Frequent coauthors

Sanchit Sinha
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Guangtao Zheng
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Wenqian Ye
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Sikun Guo
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Jiayi Chen
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Guangzhi Xiong
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Eric Xie
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Lei Gong
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Zhenghao He
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Amir Hassan Shariatmadari
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Kazi Noshin
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Vipin Kumar
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Papers

  1. Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models
    AAAI 2026 ·
    Sanchit Sinha
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  2. MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs
    SIGKDD 2026 ·
    Wenqian Ye
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  3. SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias
    AAAI 2026 ·
    Wenqian Ye
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  4. SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations
    AAAI 2026 ·
    Eric Xie
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  5. AI and Science Day
    SIGKDD 2025 · Aidong Zhang
  6. ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers
    IJCAI 2025 ·
    Sanchit Sinha
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  7. Boosting Clinical Outcome Prediction with Context-Aware Feature Imputation and Disentanglement
    ICDM 2025 ·
    Lei Gong
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  8. COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models
    EMNLP 2025 ·
    Sanchit Sinha
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  9. GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability
    ICCV 2025 ·
    Zhenghao He
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  10. HyHG: A Temporal Hypergraph Contrastive Learning Framework for Biomedical Hypothesis Generation
    ICDM 2025 ·
    Amir Hassan Shariatmadari
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  11. IdeaBench: Benchmarking Large Language Models for Research Idea Generation
    SIGKDD 2025 ·
    Sikun Guo
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  12. Improving Group Robustness on Spurious Correlation via Evidential Alignment
    SIGKDD 2025 ·
    Wenqian Ye
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  13. InfAL: Inference Time Adversarial Learning for Improving Research Ideation
    EMNLP 2025 ·
    Sikun Guo
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  14. Integrating Social Determinants of Health in a Multi-Modal Deep Clustering Survival Model for Injury-Risk in Alzheimer’s and Related Dementia Patients
    AAAI 2025 ·
    Kazi Noshin
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  15. KDD 2025 Panel on AI for Science
    SIGKDD 2025 ·
    Vipin Kumar
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  16. LifelongSkill: Toward Modality-Varying Lifelong Learning with Latent Knowledge Hypergraph
    ICDM 2025 ·
    Jiayi Chen
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  17. MedCite: Can Language Models Generate Verifiable Text for Medicine?
    ACL 2025 ·
    Xiao Wang
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  18. NeuronTune: Towards Self-Guided Spurious Bias Mitigation
    ICML 2025 ·
    Guangtao Zheng
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  19. Optimizing External and Internal Knowledge of Foundation Models for Scientific Discovery
    SDM 2025 ·
    Sikun Guo
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  20. Rectifying Shortcut Behaviors in Preference-based Reward Learning
    NeurIPS 2025 ·
    Wenqian Ye
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  21. ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models
    IJCAI 2025 ·
    Guangtao Zheng
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  22. Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models
    IJCAI 2025 ·
    Guangzhi Xiong
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  23. A Self-explaining Neural Architecture for Generalizable Concept Learning
    IJCAI 2024 ·
    Sanchit Sinha
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  24. AdvST: Revisiting Data Augmentations for Single Domain Generalization
    AAAI 2024 ·
    Guangtao Zheng
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  25. Benchmarking Retrieval-Augmented Generation for Medicine
    ACL 2024 ·
    Guangzhi Xiong
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  26. Benchmarking Spurious Bias in Few-Shot Image Classifiers
    ECCV 2024 ·
    Guangtao Zheng
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  27. CoLiDR: Concept Learning using Aggregated Disentangled Representations
    SIGKDD 2024 ·
    Sanchit Sinha
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  28. FedMBridge: Bridgeable Multimodal Federated Learning
    ICML 2024 ·
    Jiayi Chen
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  29. Generalizing to Unseen Domains via Text-Guided Augmentation: A Training-Free Approach
    ECCV 2024 ·
    Daiqing Qi
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  30. Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
    IJCAI 2024 ·
    Guangtao Zheng
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  31. MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning
    SIGKDD 2024 ·
    Sanchit Sinha
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  32. MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
    NeurIPS 2024 ·
    Nikhil Khandekar
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  33. On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning
    AAAI 2024 ·
    Jiayi Chen
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  34. On the Role of Server Momentum in Federated Learning
    AAAI 2024 ·
    Jianhui Sun
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  35. Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
    SIGKDD 2024 ·
    Guangtao Zheng
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