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Chankyu Lee
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Journal Articles
- 2022
- [j6]Youngja Nam, Chankyu Lee:
Chung-Ang Auditory Database of Korean Emotional Speech: A Validated Set of Vocal Expressions With Different Intensities. IEEE Access 10: 122745-122761 (2022) - 2021
- [j5]Sayeed Shafayet Chowdhury, Chankyu Lee, Kaushik Roy:
Towards understanding the effect of leak in Spiking Neural Networks. Neurocomputing 464: 83-94 (2021) - [j4]Youngja Nam, Chankyu Lee:
Cascaded Convolutional Neural Network Architecture for Speech Emotion Recognition in Noisy Conditions. Sensors 21(13): 4399 (2021) - 2019
- [j3]Chankyu Lee, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity. IEEE Trans. Cogn. Dev. Syst. 11(3): 384-394 (2019) - 2018
- [j2]Amogh Agrawal, Akhilesh Jaiswal, Chankyu Lee, Kaushik Roy:
X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(12): 4219-4232 (2018) - 2015
- [j1]Sanghyun Hong, Chankyu Lee, Francesco Borrelli, J. Karl Hedrick:
A Novel Approach for Vehicle Inertial Parameter Identification Using a Dual Kalman Filter. IEEE Trans. Intell. Transp. Syst. 16(1): 151-161 (2015)
Conference and Workshop Papers
- 2022
- [c7]Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy:
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures. ICRA 2022: 6504-6510 - 2021
- [c6]Nitin Rathi, Amogh Agrawal, Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy:
Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives. DATE 2021: 902-907 - [c5]Kenneth Chaney, Artemis Panagopoulou, Chankyu Lee, Kaushik Roy, Kostas Daniilidis:
Self-Supervised Optical Flow with Spiking Neural Networks and Event Based Cameras. IROS 2021: 5892-5899 - 2020
- [c4]Chankyu Lee, Adarsh Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy:
Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks. ECCV (29) 2020: 366-382 - [c3]Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy:
Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ICASSP 2020: 8549-8553 - 2019
- [c2]Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy:
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. IJCNN 2019: 1-8 - 2014
- [c1]Changchun Liu, Andrew Gray, Chankyu Lee, J. Karl Hedrick, Jiluan Pan:
Nonlinear stochastic predictive control with unscented transformation for semi-autonomous vehicles. ACC 2014: 5574-5579
Informal and Other Publications
- 2024
- [i8]Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro:
ChatQA: Building GPT-4 Level Conversational QA Models. CoRR abs/2401.10225 (2024) - [i7]Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping:
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. CoRR abs/2405.17428 (2024) - 2021
- [i6]Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy:
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures. CoRR abs/2103.10592 (2021) - 2020
- [i5]Chankyu Lee, Adarsh Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy:
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks. CoRR abs/2003.06696 (2020) - [i4]Sayeed Shafayet Chowdhury, Chankyu Lee, Kaushik Roy:
Towards Understanding the Effect of Leak in Spiking Neural Networks. CoRR abs/2006.08761 (2020) - 2019
- [i3]Chankyu Lee, Syed Shakib Sarwar, Kaushik Roy:
Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures. CoRR abs/1903.06379 (2019) - [i2]Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy:
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. CoRR abs/1905.02704 (2019) - [i1]Amogh Agrawal, Chankyu Lee, Kaushik Roy:
X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks. CoRR abs/1907.00285 (2019)
Coauthor Index
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