| 2025 | ICLR | NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. | Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping |
| 2025 | ICLR | Mm-Embed: Universal Multimodal Retrieval with Multimodal LLMS. | Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi, Jimmy Lin, Bryan Catanzaro, Wei Ping |
| 2025 | ICML | Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity. | Atefeh Sohrabizadeh, Jialin Song, Mingjie Liu, Rajarshi Roy, Chankyu Lee, Jonathan Raiman, Bryan Catanzaro |
| 2022 | ICRA | Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures. | Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy |
| 2021 | DATE | Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives. | Nitin Rathi, Amogh Agrawal, Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy |
| 2021 | IROS | Self-Supervised Optical Flow with Spiking Neural Networks and Event Based Cameras. | Kenneth Chaney, Artemis Panagopoulou, Chankyu Lee, Kaushik Roy, Kostas Daniilidis |
| 2020 | ECCV | Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks. | Chankyu Lee, Adarsh Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy |
| 2020 | ICASSP | Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. | Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy |
| 2019 | IJCNN | A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. | Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy |