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Institute of Information Science, Academia Sinica

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2025 Publication Lists

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Hong, Ding-Yong

  • 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

  • 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
  • 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

  • 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
  • Yi-Xing Lin, Jen-Chun Lin, Wen-Li Wei, and Jia-Ching Wang, Learnable Counterfactual Attention for Music Classification, January 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

Niederhagen, Ruben

  • Matthias J. Kannwischer, Ruben Niederhagen, Francisco Rodriguez-Henriquez, Peter Schwabe, Embedded Cryptography 2, January 2025

Tsai, Meng-Tsung

  • 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

  • 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%)
  • 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

  • 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

Yeh, Mi-Yen

  • 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