Institute of Information Science, Academia Sinica

Throughput Optimization for Multi-GPU Speculative Decoding Pipelines

The IEEE International Conference on Parallel and Distributed Systems (ICPADS), November 2026

Wen-Li Ouyang, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu

Hybrid Dual-batch and Cyclic Progressive Learning for Efficient Distributed Training of Convolutional Neural Networks

Future Generation Computer Systems, October 2026

Kuan-Wei Lu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu

Search-Tree Scaling in Parallel Monte Carlo Tree Search

Annual Conference on Neural Information Processing Systems (NeurIPS), December 2026

Scott Cheng, Meng-Yu Tsai, Ding-Yong Hong, Mahmut Kandemir

CARE: Joint Compression with Adaptive Recovery for Large Language Models

The IEEE International Conference on Parallel and Distributed Systems (ICPADS), November 2026

Fen-Yu Hsieh, Ding-Yong Hong, Jan-Jan Wu

Optimizing Pipeline Parallelism for Deep Learning With Activation Checkpointing

Concurrency and Computation: Practice and Experience, September 2026

Tzu-Hsien Tsai, Ming-Yen Chiang, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu

Face Deepfake-aware Recovery via Semantic-driven Facial Representation-based Watermarking

The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS)(Main Track), December 2026

Yuan-Chih Chen and Chun-Shien Lu

Position: Peer review should constrain evaluative authority

The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS) (Position Track), December 2026

Hanrui Wang, Timo Spinde, Chun-Shien Lu, and Isao Echizen

Anchoring Speech with Semantics: A Multimodal Adapter Mechanism for Automatic Speech Recognition in Low-Resource Languages

Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), October 2026

Kuan-Tang Huang, Cheng-Yeh Yang, Chien-Chun Wang, Hung-Shin Lee, Hsin-Min Wang, and Berlin Chen

CALM: Cycle-Aware Latent Modeling for Arteriovenous Fistula Assessment using Audio Foundation Models and Low-Level Descriptors

IEEE Journal of Translational Engineering in Health and Medicine, July 2026

Whenty Ariyanti, Ping-Yi Lin, Chia-Yu Hu, Shang-Feng Yang, Shin-Hung Tsai, Li-Ning Peng, Po-Hsun Huang, Hsin-Min Wang, and Yu Tsao

Towards Robust Assessment of Pathological Voices via Combined Low-Level Descriptors and Foundation Model Representations

IEEE Journal of Biomedical and Health Informatics, July 2026

Whenty Ariyanti, Kuan-Yu Chen, Sabato Marco Siniscalchi, Hsin-Min Wang, and Yu Tsao

SSTMark: Robust Training-Free Semantic-Level Speech Watermarking

ACM International Conference on Multimedia (ACM MM), November 2026

Kuan-Lin Chu, Jun-Cheng Chen, Chun-Shien Lu

Diffusion to Obfuscation: Time-Adaptive Synthesized Generation Against Gradient Leakage Attacks in Federated Learning

European Conference on Computer Vision (ECCV), September 2026

Farchan Hakim Raswa, Chun-Shien Lu, and Jia-Ching Wang

DNA-DETR: sequence representation matters in object detection for functional genomic elements

Briefings in Bioinformatics, June 2026

Tsai, B.S., Wong, J.Y., and Tsai, H.K.*

DeRA-MOS: Optimizing Text-to-Music Evaluation via Decoupled Listwise Ranking and Modality Alignment

IEEE Signal Processing Letters, June 2026

Chien-Chun Wang,Hung-Shin Lee,Hsin-Min Wang, and Berlin Chen

DIffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition

IEEE Transactions on Information Forensics and Security , April 2026

Hanrui Wang, Shuo Wang, Chun-Shien Lu, and Isao Echizen

Harnessing Sequence Embedding and Ensemble Learning to Identify Antifungal Peptides with Low Hemolytic Risk

ACS OMEGA, April 2026

Chung-Yen Lin,Wen-Chih Cheng, U-Lin Chen, Tzu-Tang Lin, Li-Hang Hsu, Yang-Hsin Shih, I-Hsuan Lu, Ying-Lien Chen, Shu-Hwa Chen

Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors, and Perceptual Insights

IEEE Computational Intelligence Magazine, May 2026

Ammarah Hashmi, Sahibzada Adil Shahzad, Chia-Wen Lin, Yu Tsao, and Hsin-Min Wang