Evaluation of Moisture-Related Attenuation Coefficient and Water Diffusion Velocity in Human Skin Using Optical Coherence Tomography. - Cheng-Kuang Lee; Meng-Tsan Tsai; Feng-Yu Chang; Chih-Hsun Yang; Su-Chin Shen; Ouyang Yuan; Chih-He Yang (Sensors, 2013)

Two-Level Optical Coherence Tomography Scheme for Suppressing Spectral Saturation Artifacts. - Chiung-Ting Wu; Meng-Tsan Tsai; Cheng-Kuang Lee (Sensors, 2014)

Using Attention Networks and Adversarial Augmentation for Styrian Dialect Continuous Sleepiness and Baby Sound Recognition. - Sung-Lin Yeh; Gao-Yi Chao; Bo-Hao Su; Yu-Lin Huang; Meng-Han Lin; Yin-Chun Tsai; Yu-Wen Tai; Zheng-Chi Lu; Chieh-Yu Chen; Tsung-Ming Tai; Chiu-Wang Tseng; Cheng-Kuang Lee; et al. (INTERSPEECH, 2019)

Sensor Based Dynamic Hand Gesture Recognition by PairNet. - Yun-Jie Jhang; Yen-Cheng Chu; Tsung-Ming Tai; Wen-Jyi Hwang; Po-Wen Cheng; Cheng-Kuang Lee (iThings/GreenCom/CPSCom/SmartData, 2019)

DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation. - Yi-Chen Chen; Jui-Yang Hsu; Cheng-Kuang Lee; Hung-yi Lee (INTERSPEECH, 2020)

A Distributional Perspective on Value Function Factorization Methods for Multi-Agent Reinforcement Learning. - Wei-Fang Sun; Cheng-Kuang Lee; Chun-Yi Lee (AAMAS, 2021)

DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning. - Wei-Fang Sun; Cheng-Kuang Lee; Chun-Yi Lee (ICML, 2021)

Higher Order Recurrent Space-Time Transformer. - Tsung-Ming Tai; Giuseppe Fiameni; Cheng-Kuang Lee; Oswald Lanz (CoRR, 2021)

SpeechNet: A Universal Modularized Model for Speech Processing Tasks. - Yi-Chen Chen; Po-Han Chi; Shu-Wen Yang; Kai-Wei Chang; Jheng-Hao Lin; Sung-Feng Huang; Da-Rong Liu; Chi-Liang Liu; Cheng-Kuang Lee; Hung-yi Lee (CoRR, 2021)

Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning. - Yi-Chen Chen; Shu-Wen Yang; Cheng-Kuang Lee; Simon See; Hung-yi Lee (CoRR, 2021)

Higher-Order Recurrent Network with Space-Time Attention for Video Early Action Recognition. - Tsung-Ming Tai; Giuseppe Fiameni; Cheng-Kuang Lee; Oswald Lanz (ICIP, 2022)

Unified Recurrence Modeling for Video Action Anticipation. - Tsung-Ming Tai; Giuseppe Fiameni; Cheng-Kuang Lee; Simon See; Oswald Lanz (ICPR, 2022)

NVIDIA-UNIBZ Submission for EPIC-KITCHENS-100 Action Anticipation Challenge 2022. - Tsung-Ming Tai; Oswald Lanz; Giuseppe Fiameni; Yi-Kwan Wong; Sze-Sen Poon; Cheng-Kuang Lee; Ka Chun Cheung; Simon See (CoRR, 2022)

Inductive Attention for Video Action Anticipation. - Tsung-Ming Tai; Giuseppe Fiameni; Cheng-Kuang Lee; Simon See; Oswald Lanz (CoRR, 2022)

A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning. - Wei-Fang Sun; Cheng-Kuang Lee; Simon See; Chun-Yi Lee (J. Mach. Learn. Res., 2023)

GPU-based Ising Machine for Solving Combinatorial Optimization Problems with Enhanced Parallel Tempering Techniques. - Kuei-Po Huang; Chin-Fu Nien; Yun-Ting Zhang; Cheng-Kuang Lee; Yu-Cheng Wang (APCCAS, 2024)

Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow. - Chen-Hao Chao; Chien Feng; Wei-Fang Sun; Cheng-Kuang Lee; Simon See; Chun-Yi Lee (NeurIPS, 2024)

Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation For Code-Switching ASR Using Realistic Data. - Liang-Hsuan Tseng; Zih-Ching Chen; Wei-Shun Chang; Cheng-Kuang Lee; Tsung-Ren Huang; Hung-Yi Lee (SLT, 2024)

Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model. - Yu-Kuan Fu; Cheng-Kuang Lee; Hsiu-Hsuan Wang; Hung-yi Lee (CoRR, 2024)