Choi, Jungwook

12 publications

NeurIPS 2025 InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang
AAAI 2025 RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy Geonho Lee, Janghwan Lee, Sukjin Hong, Minsoo Kim, Euijai Ahn, Du-Seong Chang, Jungwook Choi
ICCV 2025 Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control Seongmin Park, Hyungmin Kim, Sangwoo Kim, Wonseok Jeon, Juyoung Yang, Byeongwook Jeon, Yoonseon Oh, Jungwook Choi
CVPRW 2024 Selectively Dilated Convolution for Accuracy-Preserving Sparse Pillar-Based Embedded 3D Object Detection Seongmin Park, Minjae Lee, Junwon Choi, Jungwook Choi
NeurIPS 2023 SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots Jong Wook Bae, Jungho Kim, Junyong Yun, Changwon Kang, Jeongseon Choi, Chanhyeok Kim, Junho Lee, Jungwook Choi, Jun Won Choi
NeurIPS 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
ICLR 2022 Understanding the Role of Self Attention for Efficient Speech Recognition Kyuhong Shim, Jungwook Choi, Wonyong Sung
AAAI 2021 Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung
ICLR 2019 Accumulation Bit-Width Scaling for Ultra-Low Precision Training of Deep Networks Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh Shanbhag, Kailash Gopalakrishnan
NeurIPS 2019 Hybrid 8-Bit Floating Point (HFP8) Training and Inference for Deep Neural Networks Xiao Sun, Jungwook Choi, Chia-Yu Chen, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Xiaodong Cui, Wei Zhang, Kailash Gopalakrishnan
AAAI 2018 AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan
NeurIPS 2018 Training Deep Neural Networks with 8-Bit Floating Point Numbers Naigang Wang, Jungwook Choi, Daniel Brand, Chia-Yu Chen, Kailash Gopalakrishnan