Janghwan Lee

According to our database, Janghwan Lee authored at least 15 papers between 2006 and 2024.

Collaborative distances:

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

2024

SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving.

Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Searching Optimal Floating-Point Format for Sub-8-Bit Large Language Model Inference.

Youngdeok Hwang, Janghwan Lee, Jiwoong Park, Jieun Lim, Jungwook Choi

Proceedings of the International Conference on Electronics, Information, and Communication, 2024

ISP2DLA: Automated Deep Learning Accelerator Design for On-Sensor Image Signal Processing.

Dong-eon Won, Yeeun Kim, Janghwan Lee, Minjae Lee, Jonghyun Bae, Jongjoo Park, Jeongyong Song, Jungwook Choi

Proceedings of the 35th IEEE International Conference on Application-specific Systems, 2024

Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment.

Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

SHAPNN: Shapley Value Regularized Tabular Neural Network.

Qisen Cheng, Shuhui Qu, Janghwan Lee

CoRR, 2023

PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices.

Minjae Lee, Hyungmin Kim, Seongmin Park, Minyong Yoon, Janghwan Lee, Junwon Choi, Mingu Kang, Jungwook Choi

CoRR, 2023

Token-Scaled Logit Distillation for Ternary Weight Generative Language Models.

Minsoo Kim, Sihwa Lee, Janghwan Lee, Sukjin Hong, Du-Seong Chang, Wonyong Sung, Jungwook Choi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Finding Optimal Numerical Format for Sub-8-Bit Post-Training Quantization of Vision Transformers.

Janghwan Lee, Youngdeok Hwang, Jungwook Choi

Proceedings of the IEEE International Conference on Acoustics, 2023

Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization.

Janghwan Lee, Minsoo Kim, Seungcheol Baek, Seok Joong Hwang, Wonyong Sung, Jungwook Choi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Range-Invariant Approximation of Non-Linear Operations for Efficient BERT Fine-Tuning.

Janghyeon Kim, Janghwan Lee, Jungwook Choi, JeongHo Han, Sangheon Lee

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Optimizing Exponent Bias for Sub-8bit Floating-Point Inference of Fine-tuned Transformers.

Janghwan Lee, Jungwook Choi

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

Efficient Multi-Modal Fusion with Diversity Analysis.

Shuhui Qu, Yan Kang, Janghwan Lee

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2010

Distributed Fair Scheduling for Wireless Mesh Networks Using IEEE 802.11.

Janghwan Lee, Hyunsoo Yoon, Ikjun Yeom

IEEE Trans. Veh. Technol., 2010

2008

Achieving throughput fairness in Wireless Mesh Networks based on IEEE 802.11.

Janghwan Lee, Ikjun Yeom

Proceedings of the IEEE 5th International Conference on Mobile Adhoc and Sensor Systems, 2008

2006

A video browser based on closed cap.

Janghwan Lee

IEEE Trans. Consumer Electron., 2006