Hsiao-Yu Hu, Hao-Ting Wei, Meng-Hsi Li, Kai-Min Chung, Chung-Shou Liao, Online TSP and Online Dial-a-ride with Predictions, March 2025
Hong, Ding-Yong (洪鼎詠)
Ding-Yong Hong, Tzu-Hsien Tsai, Ning Wang, Pangfeng Liu, Jan-Jan Wu, GPU Memory Usage Optimization for Backward Propagation in Deep Network Training, May 2025
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 (黃瀚萱)
Brian J Chan, Chao-Ting Chen, Jui-Hung Cheng, Hen-Hsen Huang, Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks, The Web Conference 2025 (WWW 2025), April 2025
Chr-Jr Chiu, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Pre-Finetuning with Impact Duration Awareness for Stock Movement Prediction, The Web Conference 2025 (WWW 2025), April 2025
Yining Juan, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Co-Trained Retriever-Generator Framework for Question Generation in Earnings Calls, The Web Conference 2025 (WWW 2025), April 2025
Zixin Tang, Chieh-Yang Huang, Tsung-Che Li, Ho Yin Sam Ng, Hen-Hsen Huang, Ting-Hao 'Kenneth' Huang, Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties, The North American Chapter of the Association for Computational Linguistics (NAACL 2025), April 2025
Yu-Chuan Chen, Hen-Hsen Huang, Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), February 2025
Lin, Chung-Yen (林仲彥)
Shu-Hwa Chen, Bo-Yi Yu, Wen-Yu Kuo, Ya-Bo Lin, Sheng-Yao Su, Wei-Hsuan Chuang, I-Hsuan Lu, Chung-Yen Lin, A Deconvolution Approach to Unveiling the Immune Microenvironment of Complex Tissues and Tumors in Transcriptomics, May 2025, Demo website: https://mysort.iis.sinica.edu.tw/, Docker Image: https://hub.docker.com/r/lsbnb/mysort_2022
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 (林仁俊)
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
Yi-Xing Lin, Jen-Chun Lin, Wen-Li Wei, and Jia-Ching Wang, Learnable Counterfactual Attention for Music Classification, January 2025
Liu, Tyng-Luh (劉庭祿)
Lo-Wei Tai, Ching-En Li, Cheng-Lin Chen, Chih-Jung Tsai, Hwann-Tzong Chen and Tyng-Luh Liu, EigenGS Representation: From Eigenspace to Gaussian Image Space, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025, (CVPR)
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 (呂俊賢)
Farchan Hakim Raswa, Chun-Shien Lu, and Jia-Ching Wang, HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025
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
Hung-Lei Lee, Chun-Shien Lu, and Jia-Ching Wang, Defense Against Backdoor Attacks on Image Retrieval Models Through Strategic Manipulations, 11st Int’l Conference on Information Systems Security and Privacy (ICISSP), February 2025
Ma, Wei-Yun (馬偉雲)
Hsun-Yu Kuo, Yin-Hsiang Liao, Yu-Chieh Chao, Wei-Yun Ma, Pu-Jen Cheng, Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification, The Thirteenth International Conference on Learning Representations (ICLR 2025 Spotlight), April 2025
Niederhagen, Ruben (倪儒本)
Matthias J. Kannwischer, Ruben Niederhagen, Francisco Rodriguez-Henriquez, Peter Schwabe, Embedded Cryptography 2, January 2025
Tsai, Meng-Tsung (蔡孟宗)
Wing-Kai Hon, Meng-Tsung Tsai, Ching-Yu Yang, Supereulerian Testing on Semi-Eulerian Graphs, the 14th International Conference on Algorithms and Complexity (CIAC), June 2025
WU, TI-RONG (吳廸融)
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%)
Yun-Jui Tsai, Ting Han Wei, Chi-Huang Lin, Chung-Chin Shih, Hung Guei, I-Chen Wu, Ti-Rong Wu, Solving 7x7 Killall-Go with Seki Database, Computers and Games (CG), April 2025
Po-Wei Huang, Pei-Chiun Peng, Hung Guei, Ti-Rong Wu, OptionZero: Planning with Learned Options, the Thirteenth International Conference on Learning Representations (ICLR), April 2025, (Oral ≈ 1.8%; Acceptance rate ≈ 32.1%)
Chun Jung Chen, Chung-Chin Shih, Ti-Rong Wu, Strength Estimation and Human-Like Strength Adjustment in Games, the Thirteenth International Conference on Learning Representations (ICLR), April 2025, (Acceptance rate ≈ 32.1%)
Wang, Hsin-Min (王新民)
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
Jie Lin, I Chiu, Kuan-Chen Wang, Kai-Chun Liu, Hsin-Min Wang, Ping-Cheng Yeh, and Yu Tsao, MSECG: Incorporating Mamba for Robust and Efficient ECG Super-Resolution, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2025), April 2025
Wu, Jan-Jan (吳真貞)
Ding-Yong Hong, Tzu-Hsien Tsai, Ning Wang, Pangfeng Liu, Jan-Jan Wu, GPU Memory Usage Optimization for Backward Propagation in Deep Network Training, May 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
Yang, De-Nian (楊得年)
S.-H. Chiu, Y.-W. Teng, D.-N. Yang, and M.-S. Chen, Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities, International World Wide Web Conference (WWW, ACM Web Conference), April 2025
Yeh, Mi-Yen (葉彌妍)
Zee Hen Tang and Mi-Yen Yeh, Few-shot Unlearning for Large Language Models through Pretrained Soft Prompts, The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2025), June 2025
Yu-Ang Lee, Ching-Yun Ko, Tejaswini Pedapati, I-Hsin Chung, Mi-Yen Yeh, Pin-Yu Chen, STAR: Spectral Truncation and Rescale for Model Merging, 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL-2025), April 2025
