| 2026 | AAAI | Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models. | Sanchit Sinha, Guangzhi Xiong, Zhenghao He, Aidong Zhang |
| 2025 | ACL | MedCite: Can Language Models Generate Verifiable Text for Medicine? | Xiao Wang, Mengjue Tan, Qiao Jin, Guangzhi Xiong, Yu Hu, Aidong Zhang, Zhiyong Lu, Minjia Zhang |
| 2025 | EMNLP | COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models. | Sanchit Sinha, Guangzhi Xiong, Aidong Zhang |
| 2025 | ICCV | GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability. | Zhenghao He, Sanchit Sinha, Guangzhi Xiong, Aidong Zhang |
| 2025 | IJCAI | ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers. | Sanchit Sinha, Guangzhi Xiong, Aidong Zhang |
| 2025 | IJCAI | Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models. | Guangzhi Xiong, Eric Xie, Corey M. Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang |
| 2025 | KDD | IdeaBench: Benchmarking Large Language Models for Research Idea Generation. | Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Albert Huang, Myles Kim, Corey M. Williams, Stefan Bekiranov, Aidong Zhang |
| 2025 | SDM | Optimizing External and Internal Knowledge of Foundation Models for Scientific Discovery. | Sikun Guo, Guangzhi Xiong, Aidong Zhang |
| 2024 | ACL | Benchmarking Retrieval-Augmented Generation for Medicine. | Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang |
| 2024 | IJCAI | A Self-explaining Neural Architecture for Generalizable Concept Learning. | Sanchit Sinha, Guangzhi Xiong, Aidong Zhang |
| 2024 | KDD | CoLiDR: Concept Learning using Aggregated Disentangled Representations. | Sanchit Sinha, Guangzhi Xiong, Aidong Zhang |