Chankyu Lee

According to our database, Chankyu Lee authored at least 17 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

CoRR, 2024

ChatQA: Building GPT-4 Level Conversational QA Models.

Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2024

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

Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures.

Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Cascaded Convolutional Neural Network Architecture for Speech Emotion Recognition in Noisy Conditions.

Youngja Nam, Chankyu Lee

Sensors, 2021

Towards understanding the effect of leak in Spiking Neural Networks.

Sayeed Shafayet Chowdhury, Chankyu Lee, Kaushik Roy

Neurocomputing, 2021

Self-Supervised Optical Flow with Spiking Neural Networks and Event Based Cameras.

Kenneth Chaney, Artemis Panagopoulou, Chankyu Lee, Kaushik Roy, Kostas Daniilidis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives.

Nitin Rathi, Amogh Agrawal, Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing.

Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity.

Chankyu Lee, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy

IEEE Trans. Cogn. Dev. Syst., 2019

X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks.

Amogh Agrawal, Chankyu Lee, Kaushik Roy

CoRR, 2019

Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures.

Chankyu Lee, Syed Shakib Sarwar, Kaushik Roy

CoRR, 2019

A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks.

Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories.

Amogh Agrawal, Akhilesh Jaiswal, Chankyu Lee, Kaushik Roy

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

2015

A Novel Approach for Vehicle Inertial Parameter Identification Using a Dual Kalman Filter.

Sanghyun Hong, Chankyu Lee, Francesco Borrelli, J. Karl Hedrick

IEEE Trans. Intell. Transp. Syst., 2015

2014

Nonlinear stochastic predictive control with unscented transformation for semi-autonomous vehicles.

Changchun Liu, Andrew Gray, Chankyu Lee, J. Karl Hedrick, Jiluan Pan

Proceedings of the American Control Conference, 2014