Yu-Shao Lai, Shuo-Han Chen, and Yuan-Hao Chang, Enabling Highly-Efficient DNA Sequence Mapping via ReRAM-based TCAM, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), August 2023, (Top Conference).
Shih-Chun Chou, Yi-Shen Chen, Ping-Xiang Chen, Yuan-Hao Chang, Ming-Chang Yang, Tei-Wei Kuo, Yu-Fang Chen, and Yu-Ming Chang, FSD: File-related Secure Deletion to Prolong the Lifetime of Solid-State Drives, IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA), August 2023.
Wei-Chen Wang, Chien-Chung Ho, Yuan-Hao Chang, Tei-Wei Kuo, and Yu-Ming Chang, Retention Leveling: Leverage Retention Refreshing and Wear Leveling Techniques to Enhance Flash Reliability with the Awareness of Temperature, IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA), August 2023.
Tsung-Yen Hsu, Yi-Shen Chen, Yun-Chih Chen, Yuan-Hao Chang, and Tei-Wei Kuo, REFROM: Responsive, Energy-efficient Frame Rendering for Mobile Devices, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), August 2023, (Top Conference).
Yong-Cheng Liao, Shuo-Han Chen, Yuan-Hao Chang, and Yu-Pei Liang, Sky-NN: Enabling Efficient Neural Network Data Processing with Skyrmion Racetrack Memory, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), August 2023, (Top Conference).
Shiwu Lo, Han-Ting Lin, Yaohong Xie, Zhaoting Lin, Yu-Hsueh Fang, Jingshen Lin, Jim Huang, Kam Yiu Lam, and Yuan-Hao Chang, RON: One-Way Circular Shortest Routing to Achieve Efficient and Bounded-waiting Spinlocks, USENIX Symposium on Operating Systems Design and Implementation (OSDI), July 2023, (Acceptance rate: 19.6%) (Top Conference).
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).
Liang-Chi Chen, Chien-Chung Ho, and Yuan-Hao Chang, UpPipe: A Novel Pipeline Management on In-Memory Processors for RNA-seq Quantification, ACM/IEEE Design Automation Conference (DAC), July 2023, (Acceptance rate: 23%) (Top Conference).
Camelia Slimani, Chun-Feng Wu, Stephane Rubini, Yuan-Hao Chang, and Jalil Boukhobza, Accelerating Random Forest on Memory-Constrained Devices through Data Storage Optimization, IEEE Transactions on Computers (TC), June 2023.
Yi-Shen Chen, Chun-Feng Wu, Yuan-Hao Chang, and Tei-Wei Kuo, Energy Efficiency Enhancement of SCM-based Systems: A Write-friendly Coding, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), May 2023.
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.
Gaddisa Olani Ganfure, Chun-Feng Wu, Yuan-Hao Chang, and Wei-Kuan Shih, DeepWare: Imaging Performance Counters with Deep Learning to Detect Ransomware, IEEE Transactions on Computers (TC), March 2023.
Yun-Shan Hsieh, Po-Chun Huang, Yuan-Hao Chang, Bo-Jun Chen, Wang Kang, and Wei-Kuan Shih, Granularity-driven Management for Reliable and Efficient Skyrmion Racetrack Memories, IEEE Transactions on Emerging Topics in Computing (TETC), 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), January 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.
Chung, Kai-Min
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.
Hsu, Tsan-sheng
Hung-Jui Chang and Wei-Ping Goh and Shu-Chen Tsai and Ting-Yu Lin and Chien-Chi Chang and Mei-Lien Pan and Da-Wei Wang and Tsan-sheng Hsu, Building Commuting Flows For an Agent Based Disease Spreading Simulation System Based on Aggregated Information, Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH), July 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.
Huang, Hen-Hsen
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.
Liao, Mark
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.
Lin, Chung-Yen
Tzu-Tang Lin, Li-Yen Yang, Chung-Yen Lin, Ching-Tien Wang, Chia-Wen Lai, Chi-Fong Ko, Yang-Hsin Shih, Shu-Hwa Chen, Intelligent De Novo Design of Novel Antimicrobial Peptides Against Antibiotic-Resistant Bacteria Strains, International Journal of Molecular Sciences, April 2023, (IF=6.208, 69/297, BIOCHEMISTRY & MOLECULAR BIOLOGY ).
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.
Liu, Tyng-Luh
Yu-Min Chu, Chieh Liu, Ting-I Hsieh, Hwann-Tzong Chen and Tyng-Luh Liu, Shape-Guided Dual-Memory Learning for 3D Anomaly Detection, 40th International Conference on Machine Learning, July 2023, (ICML).
Wan-Cyuan Fan, Cheng-Yao Hong, Yen-Chi Hsu and Tyng-Luh Liu, IoU-Aware Multi-Expert Cascade Network via Dynamic Ensemble for Long-tailed Object Detection, IEEE International Conference on Acoustics, Speech and Signal Processing, June 2023, (ICASSP).
He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang and Tyng-Luh Liu, One-shot Action Detection via Attention Zooming In, IEEE International Conference on Acoustics, Speech and Signal Processing, June 2023, (ICASSP).
He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang and Tyng-Luh Liu, Aggregating Bilateral Attention for Few-Shot Instance Localization, Winter Conference on Applications of Computer Vision, January 2023, (WACV).
Lu, Chun-Shien
Gang-Xuan Lin, Shih-Wei Hu, and Chun-Shien Lu, Extremely Lightweight Neural Network for Large-Scale Image Compressive Sensing, European Signal Processing Conference (EUSIPCO), September 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.
Niederhagen, Ruben
Nouri Alnahawi, Dustin Kern, Christoph Krauß, Timm Lauser, Ruben Niederhagen, and Alexander Wiesmaier, QuantumCharge: Post-Quantum Cryptography for Electric Vehicle Charging, Applied Cryptography and Network Security 2023 — ACNS 2023, May 2023.
Tung Chou, Ruben Niederhagen, Edoardo Persichetti, Tovohery Hajatiana Randrianarisoa, Krijn Reijnders, Simona Samardjiska, and Monika Trimoska, Take your MEDS: Digital Signatures from Matrix Code Equivalence, 14th International Conference on Cryptology — AFRICACRYPT 2023, 2023.
Su, Li
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.
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.
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.
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.
Tsai, Huai-Kuang
Hung, P.H., Liao, C.W., Ko, F.H., Tsai, H.K.* and Leu, J.Y.*, Differential Hsp90-dependent gene expression is strain-specific and common among yeast strains, iScience, May 2023.
Lin, T.C., Liu, Y.L., Liu, Y.T., Liu, W.H., Liu, Z.Y., Chang, K.L., Chang, C.Y., Ni, H.C., Huang, J.H., and Tsai, H.K.*, TRIPBASE: a database for identifying the human genomic DNA and lncRNA triplexes, NAR Genomics and Bioinformatics, May 2023.
Chang, K.L., Chen, J.H., Lin, T.C., Leu, J.Y., Kao, C.F., Wong, J.Y.*, Tsai, H.K.*, Short human eccDNAs are predictable from sequences, Briefings in Bioinformatics, April 2023.
Wang, Da-Wei
Chung-Han Liang, Da-Wei Wang & Mei-Lien Pan, Grouped data with survey revision, BMC Medical Research Methodology volume, January 2023.
Wang, Hsin-Min
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.
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.
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.
Qian-Bei Hong, Chung-Hsien Wu, and Hsin-Min Wang, Speaker-Specific Articulatory Feature Extraction Based on Knowledge Distillation for Speaker Recognition, APSIPA Transactions on Signal and Information Processing, 2023.
Qian-Bei Hong, Chung-Hsien Wu, and Hsin-Min Wang, Decomposition and Reorganization of Phonetic Information for Speaker Embedding Learning, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023.
Yang, De-Nian
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.
C. P. K. Fotsing, G.-S. Lee, Y.-W. Teng, C.-Y Shen, Y.-S. Chen, and D.-N. Yang, On Spatial Crowdsourcing Query under Pandemics, IEEE International Conference on Mobile Data Management (IEEE MDM), June 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.
Yeh, Mi-Yen
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.
