| 2026 | AAAI | Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models. | Sanchit Sinha, Guangzhi Xiong, Zhenghao He, Aidong 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 |
| 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 |
| 2024 | KDD | MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. | Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang |
| 2023 | AAAI | Understanding and Enhancing Robustness of Concept-Based Models. | Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang |
| 2023 | Interspeech | Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. | Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff |
| 2023 | KDD | Enhance Diffusion to Improve Robust Generalization. | Jianhui Sun, Sanchit Sinha, Aidong Zhang |
| 2019 | ICIP | Triplet Transform Learning for Automated Primate Face Recognition. | Mohit Agarwal, Sanchit Sinha, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa |
| 2018 | ECCV | Exploring Bias in Primate Face Detection and Recognition. | Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand |