Chankyu Lee

31 papers A* 5A 2B 1C 1Misc 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hidden costs for inference with deep network on embedded system devices.
CoRR
Chankyu Lee, Woohyun Choi, Sangwook Park
2026 J jnl
Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation.
CoRR
Zhuolin Yang, Zihan Liu, Yang Chen, Wenliang Dai, Boxin Wang, Sheng-Chieh Lin, Chankyu Lee, Yangyi Chen, Dongfu Jiang, Jiafan He, Renjie Pi, Grace Lam, Nayeon Lee, Alexander Bukharin, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2025 J jnl
AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy.
CoRR
Zihan Liu, Zhuolin Yang, Yang Chen, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2025 J jnl
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning.
CoRR
Yang Chen, Zhuolin Yang, Zihan Liu, Chankyu Lee, Peng Xu, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2025 A* conf
Mm-Embed: Universal Multimodal Retrieval with Multimodal LLMS.
ICLR
Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi, Jimmy Lin, Bryan Catanzaro, Wei Ping
2025 A* conf
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.
ICLR
Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2025 A* conf
Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity.
ICML
Atefeh Sohrabizadeh, Jialin Song, Mingjie Liu, Rajarshi Roy, Chankyu Lee, Jonathan Raiman, Bryan Catanzaro
2025 J jnl
Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models.
CoRR
Boxin Wang, Chankyu Lee, Nayeon Lee, Sheng-Chieh Lin, Wenliang Dai, Yang Chen, Yangyi Chen, Zhuolin Yang, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2024 J jnl
ChatQA: Building GPT-4 Level Conversational QA Models.
CoRR
Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro
2024 A* conf
ChatQA: Surpassing GPT-4 on Conversational QA and RAG.
NeurIPS
Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro
2024 J jnl
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs.
CoRR
Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi, Jimmy Lin, Bryan Catanzaro, Wei Ping
2024 J jnl
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.
CoRR
Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2022 J jnl
Chung-Ang Auditory Database of Korean Emotional Speech: A Validated Set of Vocal Expressions With Different Intensities.
IEEE Access
Youngja Nam, Chankyu Lee
2022 A* conf
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures.
ICRA
Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy
2021 J jnl
Cascaded Convolutional Neural Network Architecture for Speech Emotion Recognition in Noisy Conditions.
Sensors
Youngja Nam, Chankyu Lee
2021 A conf
Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives.
DATE
Nitin Rathi, Amogh Agrawal, Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy
2021 J jnl
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures.
CoRR
Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy
2021 A conf
Self-Supervised Optical Flow with Spiking Neural Networks and Event Based Cameras.
IROS
Kenneth Chaney, Artemis Panagopoulou, Chankyu Lee, Kaushik Roy, Kostas Daniilidis
2021 J jnl
Towards understanding the effect of leak in Spiking Neural Networks.
Neurocomputing
Sayeed Shafayet Chowdhury, Chankyu Lee, Kaushik Roy
2020 — conf
Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks.
ECCV (29)
Chankyu Lee, Adarsh Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy
2020 J jnl
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks.
CoRR
Chankyu Lee, Adarsh Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy
2020 J jnl
Towards Understanding the Effect of Leak in Spiking Neural Networks.
CoRR
Sayeed Shafayet Chowdhury, Chankyu Lee, Kaushik Roy
2020 Misc conf
Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing.
ICASSP
Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy
2019 B conf
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks.
IJCNN
Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy
2019 J jnl
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks.
CoRR
Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy
2019 J jnl
Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity.
IEEE Trans. Cogn. Dev. Syst.
Chankyu Lee, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy
2019 J jnl
Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures.
CoRR
Chankyu Lee, Syed Shakib Sarwar, Kaushik Roy
2019 J jnl
X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks.
CoRR
Amogh Agrawal, Chankyu Lee, Kaushik Roy
2018 J jnl
X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories.
IEEE Trans. Circuits Syst. I Regul. Pap.
Amogh Agrawal, Akhilesh Jaiswal, Chankyu Lee, Kaushik Roy
2015 J jnl
A Novel Approach for Vehicle Inertial Parameter Identification Using a Dual Kalman Filter.
IEEE Trans. Intell. Transp. Syst.
Sanghyun Hong, Chankyu Lee, Francesco Borrelli, J. Karl Hedrick
2014 C conf
Nonlinear stochastic predictive control with unscented transformation for semi-autonomous vehicles.
ACC
Changchun Liu, Andrew Gray, Chankyu Lee, J. Karl Hedrick, Jiluan Pan