Ze-Wei Liou and Ding-Yong Hong, Optimizing Compute Core Assignment for Dynamic Batch Inference in AI Inference Accelerator, ACM Symposium on Applied Computing (SAC), March 2025
Bing-Jou Wu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu, Execution Time Optimization for Pipeline Deep Network Training on Multiple GPUs, Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), March 2025
Huang, Hen-Hsen
Yu-Chuan Chen, Hen-Hsen Huang, Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent, in the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025), February 2025
Lin, Chung-Yen
Yu-Jie Lin, Ping-Heng Hsieh, Chun-Chia Mao, Yang-Hsin Shih, Shu-Hwa Chen, Chung-Yen Lin, Interpretation of Machine Learning-Based Prediction Models and Functional Metagenomic Approach to Identify Critical Genes in HBCD Degradation, March 2025
Lin, Jen-Chun
Bo-Wei Tseng, Wen-Li Wei, and Jen-Chun Lin, Birds of a Feather: Learning to Retrieve Dance Poses from Music via Ground-Truth Annotation Lifting, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2025
Liu, Tyng-Luh
Cheng-Yao Hong and Tyng-Luh Liu, Multimodal Promptable Token Merging for Diffusion Models, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), February 2025, (AAAI)
Pei-Kai Huang, Jun-Xiong Chong, Cheng-Hsuan Chiang, Tzu-Hsien Chen, Tyng-Luh Liu and Chiou-Ting Hsu, SLIP: Spoof-aware One-class Face Anti-Spoofing with Language Image Pretraining, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), February 2025, (AAAI)
Li-Heng Wang, YuJu Cheng and Tyng-Luh Liu, Tracking Everything Everywhere across Multiple Cameras, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), February 2025, (AAAI)
Lu, Chun-Shien
Cheng-Yi Lee, Ching-Chia Kao, Cheng-Han Yeh, Chun-Shien Lu, Chia-Mu Yu, and Chu-Song Chen, Defending Against Unlabeled Data Poisoning Attack on Semi-Supervised Learning through Lens of Rate-Distortion-Perception Trade-off, IEEE/CVF Winter Conference on Computer Vision (WACV), February 2025
WU, TI-RONG
Weichen Liao, Ti-Rong Wu, I-Chen Wu, Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning, the twenty-fourth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2025, (Full paper; Acceptance rate = 24.5%)
Wang, Hsin-Min
Chien-Chun Wang, Li-Wei Chen, Cheng-Kang Chou, Hung-Shin Lee, Berlin Chen, and Hsin-Min Wang, Channel-Aware Domain-Adaptive Generative Adversarial Network for Robust Speech Recognition, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2025), April 2025
Ryandhimas E. Zezario, Sabato M. Siniscalchi, Hsin-Min Wang, and Yu Tsao, A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2025), April 2025
Wenze Ren, Haibin Wu, Yi-Cheng Lin, Xuanjun Chen, Rong Chao, Kuo-Hsuan Hung, You-Jin Li, Wen-Yuan Ting, Hsin-Min Wang, and Yu Tsao, Leveraging Joint Spectral and Spatial Learning with MAMBA for Multichannel Speech Enhancement, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2025), April 2025
Wu, Jan-Jan
Bing-Jou Wu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu, Execution Time Optimization for Pipeline Deep Network Training on Multiple GPUs, Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), March 2025
