Chieh-Lin Tsai, Chun-Feng Wu, Yuan-Hao Chang, Han-Wen Hu, Yung-Chun Lee, Hsiang-Pang Li, and Tei-Wei Kuo, A Digital 3D TCAM Accelerator for the Inference Phase of Random Forest, ACM/IEEE Design Automation Conference (DAC), July 2023, (Acceptance rate: 23%) (Top Conference).
Hao-Jan Huang, Wen Sheng Lim, Chia-Heng Tu, Chun-Feng Wu, and Yuan-Hao Chang, Data Freshness Optimization on Networked Intermittent Systems, ACM/IEEE Design, Automation and Test in Europe (DATE), April 2023.
Syue-Wei Lu, Shuo-Han Chen, Yu-Pei Liang, Yuan-Hao Chang, Kang Wang, Tseng-Yi Chen, and Wei-Kuan Shih, Skyrmion Vault: Maximizing Skyrmion Lifespan for Enabling Low-Power Skyrmion Racetrack Memory, ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), January 2023.
Gaddisa Olani Ganfure, Chun-Feng Wu, Yuan-Hao Chang, and Wei-Kuan Shih, RTrap: Trapping and Containing Ransomware with Machine Learning, IEEE Transactions on Information Forensics and Security (TIFS), 2023.
Kai-Min Chung, Yao-Ting Lin, Mohammad Mahmoody, Black-Box Separations for Non-Interactive Commitments in a Quantum World, The 42nd Annual International Conference on the Theory and Applications of Cryptology and Information Security (Eurocrypt 2023), April 2023.
Nai-Hui Chia, Kai-Min Chung, Ching-Yi Lai, On the Need for Large Quantum Depth, The Journal of the ACM (JACM), February 2023.
C. -H. Hsueh, K. Ikeda, I. -C. Wu, J. -C. Chen and Tsan-sheng Hsu, Analyses of Tabular AlphaZero on Strongly-Solved Stochastic Games, IEEE Access, 2023, doi: 10.1109/ACCESS.2023.3246638.
Sin-Han Yang, Chung-Chi Chen, Hen-Hsen Huang and Hsin-Hsi Chen, Entity-Aware Dual Co-Attention Network for Fake News Detection, The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), January 2023, EACL Findings.
Zhong-Ling Wang, Po-Hsien Huang, Wen-Yau Hsu and Hen-Hsen Huang, Self-Adapted Utterance Selection for Suicidal Ideation Detection in Lifeline Conversations, The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), January 2023.
LED: A Dataset for Life Event Extraction from Dialogs, Yi-Pei Chen, An-Zi Yen, Hen-Hsen Huang, Hideki Nakayama and Hsin-Hsi Chen, The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), January 2023, EACL Findings.
C. Y. Wang, H. Y. Mark Liao, and I-Hau Yeh, Designing Network Design Strategies Through Gradient Path Analysis, Journal of Information Science and Engineering, July 2023, Invited paper.
C. Y. Wang, Alexey Bochkovskiy, H. Y. Mark Liao, YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023.
C. Y. Wang, H. Y. Mark Liao, and I-Hau Yeh, You Only Learn One Representation: Unified Network for Multiple Tasks, Journal of Information Science and Engineering, May 2023, Invited paper.
Hsiang-Yi Hsu, Chia-Hsien Chuang, I-Hsuan Lu, Chung-Yen Lin, and Yu-San Han, Identification of Sexually Dimorphic Genes in Pectoral Fin as Molecular Markers for Assessing the Sex of Japanese Silver Eels (Anguilla japonica), Zoological Studies, March 2023.
Yuan-Chih Chen and Chun-Shien Lu, RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images with Diverse Sizes and Imbalanced Categories, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023.
Sangeon Yong, Li Su, Juhan Nam, A Phoneme-informed Neural Network Model for Note-level Singing Transcription, IEEE International Conference on Acoustics, Speech and Signal Processing, June 2023.
Vincent Cheung, Yueh-Po Peng, Jing-Hua Lin, Li Su, Decoding musical pitch from human brain activity with automatic voxel-wise whole-brain fMRI feature selection, IEEE International Conference on Acoustics, Speech and Signal Processing, June 2023.
Ting-Wei Lin, Chao-Lin Liu, Li Su, Audio-driven facial landmark generation in violin performance using 3DCNN network with self-attention model, IEEE International Conference on Acoustics, Speech and Signal Processing, June 2023.
TungSheng Huang, Ping-Chung Yu, Li Su, Note and playing technique transcription of electric guitar solos in real-world music performance, IEEE International Conference on Acoustics, Speech and Signal Processing, June 2023.
Chung-Han Liang, Da-Wei Wang & Mei-Lien Pan, Grouped data with survey revision, BMC Medical Research Methodology volume, January 2023.
Chi-Chang Lee, Yu Tsao, Hsin-Min Wang, Chu-Song Chen, D4AM: A General Denoising Framework for Downstream Acoustic Models, The Eleventh International Conference on Learning Representations, ICLR 2023, May 2023.
Qian-Bei Hong, Chung-Hsien Wu, and Hsin-Min Wang, Generalization Ability Improvement of Speaker Representation and Anti-Interference for Speaker Verification, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023.
Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, and Yu Tsao, Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023, arXiv:2111.02363.
C.-Y. Chen, S.-H. Ko, G.-S. Lee, W.-C. Lee, and D.-N. Yang, Density Personalized Group Query, International Conference on Very Large Data Bases (VLDB), August 2023.
H.-W. Chen, D.-N. Yang, and M.-S. Chen, CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion, International World Wide Web Conference (WWW, The Web Conference), May 2023.
C.-Y. Yeh, H.-W. Chen, D.-N. Yang, W.-C. Lee, P.S. Yu, and M.-S. Chen, Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting, IEEE International Conference on Data Engineering (IEEE ICDE), April 2023.
Yen-Ching Tseng, Zhu-Mu Chen, Mi-Yen Yeh, and Shou-De Lin, UPGAT: Uncertainty-Aware Pseudo-Neighbor Augmented Knowledge Graph Attention Network, The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023), May 2023.