Nonlinear stochastic predictive control with unscented transformation for semi-autonomous vehicles. - Changchun Liu; Andrew Gray; Chankyu Lee; J. Karl Hedrick; Jiluan Pan (ACC, 2014)

A Novel Approach for Vehicle Inertial Parameter Identification Using a Dual Kalman Filter. - Sanghyun Hong 002; Chankyu Lee; Francesco Borrelli; J. Karl Hedrick (IEEE Trans. Intell. Transp. Syst., 2015)

X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories. - Amogh Agrawal; Akhilesh Jaiswal 001; Chankyu Lee; Kaushik Roy 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. - Saima Sharmin; Priyadarshini Panda; Syed Shakib Sarwar; Chankyu Lee; Wachirawit Ponghiran; Kaushik Roy 001 (IJCNN, 2019)

Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures. - Chankyu Lee; Syed Shakib Sarwar; Kaushik Roy 001 (CoRR, 2019)

X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks. - Amogh Agrawal; Chankyu Lee; Kaushik Roy 001 (CoRR, 2019)

Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity. - Chankyu Lee; Gopalakrishnan Srinivasan; Priyadarshini Panda; Kaushik Roy 001 (IEEE Trans. Cogn. Dev. Syst., 2019)

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 001 (ECCV (29), 2020)

Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. - Gopalakrishnan Srinivasan; Chankyu Lee; Abhronil Sengupta; Priyadarshini Panda; Syed Shakib Sarwar; Kaushik Roy 001 (ICASSP, 2020)

Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives. - Nitin Rathi; Amogh Agrawal; Chankyu Lee; Adarsh Kumar Kosta; Kaushik Roy 001 (DATE, 2021)

Self-Supervised Optical Flow with Spiking Neural Networks and Event Based Cameras. - Kenneth Chaney; Artemis Panagopoulou; Chankyu Lee; Kaushik Roy 001; Kostas Daniilidis (IROS, 2021)

Towards understanding the effect of leak in Spiking Neural Networks. - Sayeed Shafayet Chowdhury; Chankyu Lee; Kaushik Roy 001 (Neurocomputing, 2021)

Cascaded Convolutional Neural Network Architecture for Speech Emotion Recognition in Noisy Conditions. - Youngja Nam; Chankyu Lee (Sensors, 2021)

Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures. - Chankyu Lee; Adarsh Kumar Kosta; Kaushik Roy 001 (ICRA, 2022)

Chung-Ang Auditory Database of Korean Emotional Speech: A Validated Set of Vocal Expressions With Different Intensities. - Youngja Nam; Chankyu Lee (IEEE Access, 2022)

ChatQA: Surpassing GPT-4 on Conversational QA and RAG. - Zihan Liu 001; Wei Ping; Rajarshi Roy 003; Peng Xu 008; Chankyu Lee; Mohammad Shoeybi; Bryan Catanzaro (NeurIPS, 2024)

ChatQA: Building GPT-4 Level Conversational QA Models. - Zihan Liu 001; Wei Ping; Rajarshi Roy 003; Peng Xu 008; Chankyu Lee; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2024)

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. - Chankyu Lee; Rajarshi Roy 003; Mengyao Xu; Jonathan Raiman; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping (ICLR, 2025)

Mm-Embed: Universal Multimodal Retrieval with Multimodal LLMS. - Sheng-Chieh Lin; Chankyu Lee; Mohammad Shoeybi; Jimmy Lin; Bryan Catanzaro; Wei Ping (ICLR, 2025)

AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning. - Yang Chen; Zhuolin Yang; Zihan Liu 001; Chankyu Lee; Peng Xu 008; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping (CoRR, 2025)

AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy. - Zihan Liu 001; Zhuolin Yang; Yang Chen; Chankyu Lee; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping (CoRR, 2025)