| 2026 | AsiaCCS | Poster: Evading Visual Phish Detectors via Intelligent Visual Transformations. | Rina Mishra, Gaurav Varshney, Chandan Singh, Palak Arora |
| 2025 | COLING | Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. | Yanda Chen, Chandan Singh, Xiaodong Liu, Simiao Zuo, Bin Yu, He He, Jianfeng Gao |
| 2025 | EMNLP | MULTIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities. | Sahil Verma, Keegan Hines, Jeff A. Bilmes, Charlotte Siska, Luke Zettlemoyer, Hila Gonen, Chandan Singh |
| 2025 | ICLR | Vector-ICL: In-context Learning with Continuous Vector Representations. | Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao |
| 2025 | ICML | Simplifying DINO via Coding Rate Regularization. | Ziyang Wu, Jingyuan Zhang, Druv Pai, Xudong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma |
| 2025 | VLSID | CMOSP18 FD-SOI Technology Based MCU Achieving High Performance of 1.2GHz Using High Speed, Optimized Leakage & High Density Tightly Coupled Memory (TCM). | Praveen Verma, Anuj Dhillon, Ashfaque Ahmed, Yagnesh Vaderiya, Chandan Singh, Veenita Kumari, Harshit Sharma |
| 2024 | ICLR | Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs. | Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao |
| 2023 | EMNLP | Tree Prompting: Efficient Task Adaptation without Fine-Tuning. | Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng |
| 2023 | WACV | Orthogonal Transforms For Learning Invariant Representations In Equivariant Neural Networks. | Jaspreet Singh, Chandan Singh, Ankur Rana |
| 2022 | ICML | Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. | Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu |
| 2022 | IJCNN | Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments. | Jaspreet Singh, Chandan Singh |
| 2020 | ICML | Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge. | Laura Rieger, Chandan Singh, W. James Murdoch, Bin Yu |
| 2020 | ICML | Interpreting and Improving Deep-Learning Models with Reality Checks. | Chandan Singh, Wooseok Ha, Bin Yu |
| 2019 | ICLR | Hierarchical interpretations for neural network predictions. | Chandan Singh, W. James Murdoch, Bin Yu |
| 2004 | ICCVG | An Algorithm for Improved Shading of coarsely tessellated Polygonal Objects. | Chandan Singh, Ekta Walia |
| 2002 | SSPR | A Complete OCR System for Gurmukhi Script. | G. S. Lehal, Chandan Singh |
| 2001 | CAIP | A Technique for Segmentation of Gurmukhi Text. | G. S. Lehal, Chandan Singh |
| 2001 | ICDAR | A Shape Based Post Processor for Gurmukhi OCR. | G. S. Lehal, Chandan Singh, Ritu Lehal |
| 2000 | ICPR | A Gurmukhi Script Recognition System. | G. S. Lehal, Chandan Singh |