PPaperPicks

Aidong Zhang

University of Virginia, Charlottesville, VA, USA

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

DBLP profile ↗ORCID 0000-0001-9723-3246 ↗Google Scholar ↗Homepage ↗

Venues

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

Frequent coauthors

Guangzhi Xiong
×12
Guangtao Zheng
×10
Wenqian Ye
×9
Sanchit Sinha
×7
Sikun Guo
×5
Amir Hassan Shariatmadari
×4
Kishlay Jha
×3
Jiayi Chen
×3
Qiao Jin
×3
Zhiyong Lu
×3
Zhenghao He
×2
Bohan Liu
×2

Papers

  1. Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models
    AAAI 2026 ·
    Sanchit Sinha
    ,
    Guangzhi Xiong
    ,
    Zhenghao He
    , Aidong Zhang
  2. MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs
    SIGKDD 2026 ·
    Wenqian Ye
    ,
    Bohan Liu
    ,
    Guangtao Zheng
    ,
    Di Wang
    ,
    Xu Cao
    ,
    Yunsheng Ma
    ,
    Bolin Lai
    ,
    James M. Rehg
    , Aidong Zhang
  3. SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias
    AAAI 2026 ·
    Wenqian Ye
    ,
    Di Wang
    ,
    Guangtao Zheng
    ,
    Bohan Liu
    , Aidong Zhang
  4. SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations
    AAAI 2026 ·
    Eric Xie
    ,
    Danielle Waterfield
    ,
    Michael Kennedy
    , Aidong Zhang
  5. AI and Science Day
    SIGKDD 2025 · Aidong Zhang,
    Vipin Kumar
    ,
    Yan Liu
  6. ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers
    IJCAI 2025 ·
    Sanchit Sinha
    ,
    Guangzhi Xiong
    , Aidong Zhang
  7. Boosting Clinical Outcome Prediction with Context-Aware Feature Imputation and Disentanglement
    ICDM 2025 ·
    Lei Gong
    , Aidong Zhang,
    Kishlay Jha
  8. COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models
    EMNLP 2025 ·
    Sanchit Sinha
    ,
    Guangzhi Xiong
    , Aidong Zhang
  9. GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability
    ICCV 2025 ·
    Zhenghao He
    ,
    Sanchit Sinha
    ,
    Guangzhi Xiong
    , Aidong Zhang
  10. HyHG: A Temporal Hypergraph Contrastive Learning Framework for Biomedical Hypothesis Generation
    ICDM 2025 ·
    Amir Hassan Shariatmadari
    ,
    Sikun Guo
    ,
    Nathan C. Sheffield
    , Aidong Zhang,
    Kishlay Jha
  11. IdeaBench: Benchmarking Large Language Models for Research Idea Generation
    SIGKDD 2025 ·
    Sikun Guo
    ,
    Amir Hassan Shariatmadari
    ,
    Guangzhi Xiong
    ,
    Albert Huang
    ,
    Myles Kim
    ,
    Corey M. Williams
    ,
    Stefan Bekiranov
    , Aidong Zhang
  12. Improving Group Robustness on Spurious Correlation via Evidential Alignment
    SIGKDD 2025 ·
    Wenqian Ye
    ,
    Guangtao Zheng
    , Aidong Zhang
  13. InfAL: Inference Time Adversarial Learning for Improving Research Ideation
    EMNLP 2025 ·
    Sikun Guo
    ,
    Amir Hassan Shariatmadari
    ,
    Peng Wang
    ,
    Albert Huang
    , Aidong Zhang
  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
    ,
    Mary Regina Boland
    ,
    Bojian Hou
    ,
    Weiqing He
    ,
    Victoria Lu
    ,
    Li Shen
    , Aidong Zhang
  15. KDD 2025 Panel on AI for Science
    SIGKDD 2025 ·
    Vipin Kumar
    ,
    Yan Liu
    , Aidong Zhang
  16. LifelongSkill: Toward Modality-Varying Lifelong Learning with Latent Knowledge Hypergraph
    ICDM 2025 ·
    Jiayi Chen
    ,
    Kishlay Jha
    , Aidong Zhang
  17. MedCite: Can Language Models Generate Verifiable Text for Medicine?
    ACL 2025 ·
    Xiao Wang
    ,
    Mengjue Tan
    ,
    Qiao Jin
    ,
    Guangzhi Xiong
    ,
    Yu Hu
    , Aidong Zhang,
    Zhiyong Lu
    ,
    Minjia Zhang
  18. NeuronTune: Towards Self-Guided Spurious Bias Mitigation
    ICML 2025 ·
    Guangtao Zheng
    ,
    Wenqian Ye
    , Aidong Zhang
  19. Optimizing External and Internal Knowledge of Foundation Models for Scientific Discovery
    SDM 2025 ·
    Sikun Guo
    ,
    Guangzhi Xiong
    , Aidong Zhang
  20. Rectifying Shortcut Behaviors in Preference-based Reward Learning
    NeurIPS 2025 ·
    Wenqian Ye
    ,
    Guangtao Zheng
    , Aidong Zhang
  21. ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models
    IJCAI 2025 ·
    Guangtao Zheng
    ,
    Wenqian Ye
    , Aidong Zhang
  22. Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models
    IJCAI 2025 ·
    Guangzhi Xiong
    ,
    Eric Xie
    ,
    Corey M. Williams
    ,
    Myles Kim
    ,
    Amir Hassan Shariatmadari
    ,
    Sikun Guo
    ,
    Stefan Bekiranov
    , Aidong Zhang
  23. A Self-explaining Neural Architecture for Generalizable Concept Learning
    IJCAI 2024 ·
    Sanchit Sinha
    ,
    Guangzhi Xiong
    , Aidong Zhang
  24. AdvST: Revisiting Data Augmentations for Single Domain Generalization
    AAAI 2024 ·
    Guangtao Zheng
    ,
    Mengdi Huai
    , Aidong Zhang
  25. Benchmarking Retrieval-Augmented Generation for Medicine
    ACL 2024 ·
    Guangzhi Xiong
    ,
    Qiao Jin
    ,
    Zhiyong Lu
    , Aidong Zhang
  26. Benchmarking Spurious Bias in Few-Shot Image Classifiers
    ECCV 2024 ·
    Guangtao Zheng
    ,
    Wenqian Ye
    , Aidong Zhang
  27. CoLiDR: Concept Learning using Aggregated Disentangled Representations
    SIGKDD 2024 ·
    Sanchit Sinha
    ,
    Guangzhi Xiong
    , Aidong Zhang
  28. FedMBridge: Bridgeable Multimodal Federated Learning
    ICML 2024 ·
    Jiayi Chen
    , Aidong Zhang
  29. Generalizing to Unseen Domains via Text-Guided Augmentation: A Training-Free Approach
    ECCV 2024 ·
    Daiqing Qi
    ,
    Handong Zhao
    , Aidong Zhang,
    Sheng Li
  30. Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
    IJCAI 2024 ·
    Guangtao Zheng
    ,
    Wenqian Ye
    , Aidong Zhang
  31. MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning
    SIGKDD 2024 ·
    Sanchit Sinha
    ,
    Yuguang Yue
    ,
    Victor Soto
    ,
    Mayank Kulkarni
    ,
    Jianhua Lu
    , Aidong Zhang
  32. MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
    NeurIPS 2024 ·
    Nikhil Khandekar
    ,
    Qiao Jin
    ,
    Guangzhi Xiong
    ,
    Soren Dunn
    ,
    Serina S. Applebaum
    ,
    Zain Anwar
    ,
    Maame Sarfo-Gyamfi
    ,
    Conrad W. Safranek
    ,
    Abid A Anwar
    ,
    Andrew Zhang
    ,
    Aidan Gilson
    ,
    Maxwell B. Singer
    ,
    Amisha D. Dave
    ,
    Andrew Taylor
    , Aidong Zhang,
    Qingyu Chen
    ,
    Zhiyong Lu
  33. On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning
    AAAI 2024 ·
    Jiayi Chen
    , Aidong Zhang
  34. On the Role of Server Momentum in Federated Learning
    AAAI 2024 ·
    Jianhui Sun
    ,
    Xidong Wu
    ,
    Heng Huang
    , Aidong Zhang
  35. Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
    SIGKDD 2024 ·
    Guangtao Zheng
    ,
    Wenqian Ye
    , Aidong Zhang