Tse-Yuan Wang, Che-Wei Tsao, Yuan-Hao Chang, and Tei-Wei Kuo, Retention-Aware Read Acceleration Strategy for LDPC-based NAND Flash Memory, December 2023
Chih-Ting Lo, Yun-Chih Chen, Yuan-Hao Chang, and Tei-Wei Kuo, HAPIC: a Scalable, Lightweight and Reactive Cache for Persistent-Memory-based Index, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), October 2023, (Top Conference)
Kai-Ting Weng, Yun-Shan Hsieh, Yen-Ting Chen, Yu-Pei Liang, Yuan-Hao Chang, Po-Chun Huang, and Wei-Kuan Shih, HF-Dedupe: Hierarchical Fingerprint Scheme for High Efficiency Data Deduplication on Flash-based Storage Systems, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), October 2023, (Top Conference)
Shu-Ting Cheng, Wen Sheng Lim, Chia-Heng Tu and Yuan-Hao Chang, TRAIN: A Reinforcement Learning Based Timing-Aware Neural Inference on Intermittent Systems, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), October 2023, (Top Conference)
Yi Syuan Lin, Yu-Pei Liang, Yu-Shan Yen, Yen-Ting Chang, Wei-Kuan Shih, and Yuan-Hao Chang, Adaptive Mode-Switching for Write-amplification Reduction of SMR Disks, IEEE International SoC Conference (ISOCC), October 2023
Yi-Shen Chen, Yuan-Hao Chang, and Tei-Wei Kuo, DTC: A Drift-Tolerant Coding to Improve the Performance and Energy Efficiency of Multi-Level-Cell Phase-Change Memory, October 2023
Yi-Han Lien, Yen-Ting Chen, Yuan-Hao Chang, Yu-Pei Liang, and Wei-Kuan Shih, FSIMR: File-system-aware Data Management for Interlaced Magnetic Recording, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), September 2023, (Journal Track, Integrated with ACM TECS) (Top Conference)
Shin-Ting Wu, Liang-Chi Chen, Po-Chun Huang, Yuan-Hao Chang, Chien-Chung Ho, and Wei-Kuan Shih, WARM-tree: Making Quadtrees Write-efficient and Space-economic on Persistent Memories, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), September 2023, (Journal Track, Integrated with ACM TECS) (Top Conference)
Yi-Han Lien, Yen-Ting Chen, Yuan-Hao Chang, Yu-Pei Liang, and Wei-Kuan Shih, FSIMR: File-system-aware Data Management for Interlaced Magnetic Recording, September 2023, (Integrated with ACM/IEEE CODES+ISSS'23)
Shin-Ting Wu, Liang-Chi Chen, Po-Chun Huang, Yuan-Hao Chang, Chien-Chung Ho, and Wei-Kuan Shih, WARM-tree: Making Quadtrees Write-efficient and Space-economic on Persistent Memories, September 2023, (Integrated with ACM/IEEE CODES+ISSS'23)
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)
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)
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
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
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, (Best Paper Nomination - Top Conference)
Yun-Chih Chen, Chun-Feng Wu, Yuan-Hao Chang, and Tei-Wei Kuo, ZoneLife: How to Utilize Data Lifetime Semantics to Make SSDs Smarter, August 2023
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)
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)
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)
Camelia Slimani, Chun-Feng Wu, Stephane Rubini, Yuan-Hao Chang, and Jalil Boukhobza, Accelerating Random Forest on Memory-Constrained Devices through Data Storage Optimization, 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, 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, March 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, January 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, January 2023
Chen, Yu-Fang
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
Yu-Fang Chen, Kai-Min Chung, Ondřej Lengál, Jyun-Ao Lin, Wei-Lun Tsai, AutoQ: An Automata-based Quantum Circuit Verifier, The 35th International Conference on Computer Aided Verification (CAV 2023), July 2023
Yu-Fang Chen, Kai-Min Chung, Ondřej Lengál, Jyun-Ao Lin, Wei-Lun Tsai, Di-De Yen, An Automata-based Framework for Verification and Bug Hunting in Quantum Circuits, The 44th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2023), June 2023
Chung, Kai-Min
Abtin Afshar, Kai-Min Chung, Yao-Ching Hsieh, Yao-Ting Lin, Mohammad Mahmoody, On the (Im)possibility of Time-Lock Puzzles in the Quantum Random Oracle Model, The 29th Annual International Conference on the Theory and Applications of Cryptology and Information Security (ASIACRYPT 2023), December 2023
Nai-Hui Chia, Kai-Min Chung, Yao-Ching Hsieh, Han-Hsuan Lin, Yao-Ting Lin, Yu-Ching Shen, On the Impossibility of General Parallel Fast-forwarding of Hamiltonian Simulation, The 38nd Annual IEEE Conference on Computational Complexity (CCC 2023), July 2023
Yu-Fang Chen, Kai-Min Chung, Ondřej Lengál, Jyun-Ao Lin, Wei-Lun Tsai, AutoQ: An Automata-based Quantum Circuit Verifier, The 35th International Conference on Computer Aided Verification (CAV 2023), July 2023
Yu-Fang Chen, Kai-Min Chung, Ondřej Lengál, Jyun-Ao Lin, Wei-Lun Tsai, Di-De Yen, An Automata-based Framework for Verification and Bug Hunting in Quantum Circuits, The 44th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2023), June 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, February 2023
Hong, Ding-Yong
Cheng-Hung Wu, Ding-Yong Hong, Pangfeng Liu and Jan-Jan Wu, Exploiting Fine-Grained Structured Pruning for Efficient Inference on CNN Model, IEEE International Conference on Parallel and Distributed Systems, December 2023
Chao-Yu Lee, Ding-Yong Hong, Pangfeng Liu and Jan-Jan Wu, Function Clustering to Optimize Resource Utilization on Container Platform, IEEE International Conference on Parallel and Distributed Systems, December 2023
Chien-Hung Lin, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu, Accelerate Inference of CNN Models on CPU via Column Combining Based on Simulated Annealing, the International Symposium on Computing and Networking, November 2023
Hsu, Tsan-sheng
Jr-Chang Chen, Tzu-Yang Hsu, Chia-Ming Hsu, Tsan-sheng Hsu, Applying Larger N-Tuple Networks to EinStein Würfelt Nicht!, Proceedings of the 6th International Conference on Computational Intelligence and Intelligent Systems (CIIS 2023), November 2023, ACM ISBN: 979-8-4007-0906-7
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
Huang, Hen-Hsen
Chung-Chi Chen, Chin-Yi Lin, Chr-Jr Chiu, Hen-Hsen Huang, Alaa Alhamzeh, Yu-Lieh Huang, Hiroya Takamura, Hsin-Hsi Chen, Jun Zhao, Overview of the NTCIR-17 FinArg-1 Task: Fine-grained argument understanding in financial analysis, the 17th NTCIR Conference on Evaluation of Information Access Technologies, December 2023
Hong-Jin Tsai, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen, Citation Intent Classification and Its Supporting Evidence Extraction for Citation Graph Construction, The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), October 2023
Hao-Ru Sung, Ying-Jhe Tang, Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li and Hen-Hsen Huang, Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models, The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), October 2023
Meng-Huan Liu, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen, ContributionSum: Generating Disentangled Contributions for Scientific Papers, The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), October 2023
Keat Teng Swai, An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen, Multi-Perspective Sentiment Analysis on Life Events with Sentiment Cause Identification, The 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2023), October 2023
Chieh Yu Lee, Christian Henriot, Hua-Yuan Hsueh, Jyi-Shane Liu, and Hen-Hsen Huang, Into the Dynamics of Interpersonal Relationships from Diachronic Documents: Text-based Temporal Social Network Construction, The 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2023), October 2023
Yu-Min Tseng, Chung-Chi Chen, Hen-Hsen Huang and Hsin-Hsi Chen, DynamicESG: A Dataset for Dynamically Unearthing ESG Ratings from News Articles, The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), October 2023
Yining Juan, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Generating Multiple Questions from Presentation Transcripts: A Pilot Study on Earnings Conference Calls, Proceedings of the 16th International Natural Language Generation Conference, September 2023
Yang-Yin Lee, Ting-Yu Yen, Hen-Hsen Huang, Yow-Ting Shiue and Hsin-Hsi Chen, On generalization of the sense retrofitting model, July 2023
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Exploration Reduction by Selecting a Hierarchical Order of Implicit Author Demographic Characterizations, Proceedings of the IACT - The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval held in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), July 2023
Wei-Lin Chen, An-Zi Yen, Cheng-Kuang Wu, Hen-Hsen Huang and Hsin-Hsi Chen, ZARA: Improving Few-Shot Self-Rationalization for Small Language Models, Findings of the Association for Computational Linguistics: EMNLP 2023, May 2023
Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen, Financial Technology on the Web, Companion Proceedings of the ACM Web Conference 2023, April 2023
Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Makoto P Kato, Yu-Lieh Huang, FinTech on the Web: an overview, March 2023
An-Zi Yen, Min-Huan Fu, Wei-Hong Ang, Tai-Te Chu, Ssu-Hao Tsai, Hen-Hsen Huang, Hsin-Hsi Chen, Visual lifelog retrieval: humans and machines interpretation on first-person images, February 2023
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
Yi-Pei Chen, An-Zi Yen, Hen-Hsen Huang, Hideki Nakayama and Hsin-Hsi Chen, LED: A Dataset for Life Event Extraction from Dialogs, The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), January 2023, EACL Findings
Ku, Lun-Wei
Yi-Li Hsu, Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku, Is Explanation the Cure? Misinformation Mitigation in the Short-term and Long-term, in Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 2023
Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku, LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis, in Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 2023
Nicholas Collin Suwono, Justin Chen, Tun Min Hung, Ting-Hao Kenneth Huang, I-Bin Liao, Yung-Hui Li, Lun-Wei Ku, Shao-Hua Sun, Location-Aware Visual Question Generation with Lightweight Models, in Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 2023
Chih Yao Chen, Tun Min Hung, Yi-Li Hsu and Lun-Wei Ku, Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification, in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), July 2023
Chih Yao Chen, Dennis Wu and Lun-Wei Ku, HonestBait: Forward References for Attractive but Faithful Headline Generation, in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), July 2023
Liao, Mark
Chien-Yao Wang, Hong-Yuan Mark Liao, and I-Hau Yeh, Designing Network Design Strategies Through Gradient Path Analysis, July 2023, Invited paper
Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao, YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023
Chien-Yao Wang, Hong-Yuan Mark Liao, and I-Hau Yeh, You Only Learn One Representation: Unified Network for Multiple Tasks, May 2023, Invited paper
Liau, Churn-Jung
P. Howlader and C.J. Liau, Rough Sets - International Joint Conference, December 2023
C.J. Liau, Reasoning about games with possibilistic uncertainty, Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, November 2023
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, 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), March 2023
Lin, Jen-Chun
Pin-Chi Pan, Tzu-Hao Hsu, Wen-Li Wei, and Jen-Chun Lin, Global-local Awareness Network for Image Super-resolution, IEEE International Conference on Image Processing (ICIP), October 2023
Jen-Chun Lin and Wen-Li Wei, 3D Character Motion Authoring From Temporally-Sparse Photos, ACM SIGGRAPH Posters, August 2023
Liu, Jing-Sin
MH Lee and JS Liu, Fast Collision Detection for Robot Manipulator Path:An Approach Based on Implicit Neural Representation of Multiple Swept Volumes, 11th International Conference on Advanced Robotics and Intelligent Systems (ARIS 2023), Taipei, Taiwan ( Best Conference Paper Contest Honorable Mention), August 2023
Liu, Tyng-Luh
Cheng-Yao Hong, Yu-Ying Chou and Tyng-Luh Liu, Attention Discriminant Sampling for Point Clouds, International Conference on Computer Vision, October 2023, (ICCV)
Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee, Davi Geiger and Tyng-Luh Liu, ABC-Norm Regularization for Fine-Grained and Long-Tailed Image Classification, July 2023, (TIP)
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, Chi-Jen
Ruo-Chun Tzeng, Po-An Wang, Alexandre Proutiere, and Chi-Jen Lu, Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), December 2023
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
Joan Boyar, Simon Skjernaa Erfurth, Kim S. Larsen, and Ruben Niederhagen, Quotable Signatures for Authenticating Shared Quotes, Progress in Cryptology — LATINCRYPT 2023, September 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, July 2023
Tung Chou, Ruben Niederhagen, Edoardo Persichetti, Lars Ran, Tovohery Hajatiana Randrianarisoa, Krijn Reijnders, Simona Samardjiska, and Monika Trimoska, MEDS – Submission to NIST "Post-Quantum Cryptography: Digital Signature Schemes", July 2023
Gustavo Banegas, Kévin Carrier, André Chailloux, Alain Couvreur, Thomas Debris-Alazard, Philippe Gaborit, Pierre Karpman, Johanna Loyer, Ruben Niederhagen, Nicolas Sendrier, Benjamin Smith, Jean-Pierre Tillich, WAVE – Submission to NIST "Post-Quantum Cryptography: Digital Signature Schemes", July 2023
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
Su, Li
Jun-You Wang, Hung-yi Lee, Roger Jang, Li Su, Zero-shot singing voice synthesis from musical score, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), December 2023
Jun-You Wang, Chon In Leong, Yu-Chen Lin, Li Su, Roger Jang, Adapting pretrained speech model for Mandarin lyrics transcription and alignment, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), December 2023
Yo-Wei Hsiao, Tzu-Yun Hung, Tsung-Ping Chen, Li Su, BPS-Motif: A Dataset for Repeated Pattern Discovery of Polyphonic Symbolic Music, International Society of Music Information Retrieval Conference (ISMIR), November 2023
Christofer Julio, Feng-Hsu Lee and Li Su, Interpretable Rule Learning and Evaluation of Early Twentieth-century Music Styles, 16th International Symposium on Computer Music Multidisciplinary Research (CMMR), November 2023
Yu-Fen Huang and Li Su, Toward empirical analysis for stylistic expression in piano performance, 16th International Symposium on Computer Music Multidisciplinary Research (CMMR), November 2023
Ya-Hsuan Chu and Li Su, Orchestral Texture Classification with Convolution, Late-breaking/Demo (LBD) Session of International Society of Music Information Retrieval Conference (ISMIR LBD), November 2023
Tsung-Ping Chen, Li Su, Kazuyoshi Yoshii, Learning Multifaceted Self-Similarity for Musical Structure Analysis, Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), October 2023
Li Su, Alec Cooper and Yu-Fen Huang, Automatic Music Transcription for Sitar Music Analysis, October 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 (ICASSP), 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 (ICASSP), 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 (ICASSP), 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 (ICASSP), June 2023
Sung, Ting-Yi
Tzu-Yun Kuo, Jen-Hung Wang, Yung-Wen Huang, Ting-Yi Sung* and Ching-Tai Chen*, Improving quantitation accuracy in isobaric-labeling mass spectrometry experiments with spectral library searching and feature-based peptide-spectrum match filter, August 2023
Tsai, Meng-Tsung
Meng-Tsung Tsai, Shi-Chun Tsai, and Tsung-Ta Wu, Dependent k-Set Packing on Polynomoids, the 48th International Symposium on Mathematical Foundations of Computer Science (MFCS), August 2023
Wing-Kai Hon, Meng-Tsung Tsai, and Hung-Lung Wang, Verifying the Product of Generalized Boolean Matrix Multiplication and Its Applications to Detect Small Subgraphs, the 18th International Symposium on Algorithms and Data Structures (WADS), July 2023
Wang, Bow-Yaw
Ruiling Chen, Jiaxiang Liu, Xiaomu Shi, Ming-Hsien Tsai, Bow-Yaw Wang, and Bo-Yin Yang, llvm2CryptoLine: Verifying Arithmetic in Cryptographic C Programs, ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), December 2023
Ming-Hsien Tsai, Yu-Fu Fu, Jiaxiang Liu, Xiaomu Shi, Bow-Yaw Wang, and Bo-Yin Yang, Certified Verification for Algebraic Abstraction, Computer Aided Verification (CAV), July 2023
Ming-Hsien Tsai, Yu-Fu Fu, Jiaxiang Liu, Xiaomu Shi, Bow-Yaw Wang, and Bo-Yin Yang, CoqCryptoLine: A Verified Model Checker with Certified Results, Computer Aided Verification (CAV), July 2023
Depeng Liu, Bow-Yaw Wang, Chen Fu, and Lijun Zhang, Model checking differentially private properties, January 2023
Wang, Chien Yao
Chien-Yao Wang, Hong-Yuan Mark Liao, and I-Hau Yeh, Designing Network Design Strategies Through Gradient Path Analysis, July 2023, Invited paper
Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao, YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023
Chien-Yao Wang, Hong-Yuan Mark Liao, and I-Hau Yeh, You Only Learn One Representation: Unified Network for Multiple Tasks, May 2023, Invited paper
Wang, Chien-Min
Yang Syu and Chien-Min Wang, A Gap Between Automated Service Composition Research and Software Engineering Development Practice: Service Descriptions, Proceedings of the 2023 International Conference on Wen Services, September 2023
Joshua Ho, Chien-Min Wang, Chung-Ta King, Chi-Wei Feng, Yen-Min Chen and Yi Hsin You, Learning Adaptation and Generalization from Human-Inspired Meta-Reinforcement Learning Using Bayesian Knowledge and Analysis, Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, September 2023
Wang, Da-Wei
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
Chung-Han Liang, Da-Wei Wang and Mei-Lien Pan, Grouped data with survey revision, January 2023
Wang, Hsin-Min
Chi-Chang Lee, Hong-Wei Chen, Chu-Song Chen, Hsin-Min Wang, Tsung-Te Liu, and Yu Tsao, LC4SV: A Denoising Framework Learning to Compensate for Unseen Speaker Verification Models, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2023), December 2023
Erica Cooper, Wen-Chin Huang, Yu Tsao, Hsin-Min Wang, Tomoki Toda, and Junichi Yamagishi, The VoiceMOS Challenge 2023: Zero-shot Subjective Speech Quality Prediction for Multiple Domains, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2023), December 2023
Po-Kai Chen, Bing-Jhih Huang, Chi-Tao Chen, Hsin-Min Wang and Jia-Ching Wang, Enhancing Automatic Speech Recognition Performance Through Multi-Speaker Text-to-Speech, The 35th ROCLING Conference on Computational Linguistics and Speech Processing (ROCLING2023), October 2023
Hsin-Hao Chen, Yung-Lun Chien, Ming-Chi Yen, Shu-Wei Tsai, Yu Tsao, Tai-shih Chi, and Hsin-Min Wang, Mandarin Electrolaryngeal Speech Voice Conversion using Cross-domain Features, Interspeech2023, August 2023
Li-Wei Chen, Yao-Fei Cheng, Hung-Shin Lee, Yu Tsao, and Hsin-Min Wang, A Training and Inference Strategy Using Noisy and Enhanced Speech as Target for Speech Enhancement without Clean Speech, Interspeech2023, August 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
Wu, Jan-Jan
Cheng-Hung Wu, Ding-Yong Hong, Pangfeng Liu and Jan-Jan Wu, Exploiting Fine-Grained Structured Pruning for Efficient Inference on CNN Model, IEEE International Conference on Parallel and Distributed Systems, December 2023
Chao-Yu Lee, Ding-Yong Hong, Pangfeng Liu and Jan-Jan Wu, Function Clustering to Optimize Resource Utilization on Container Platform, IEEE International Conference on Parallel and Distributed Systems, December 2023
Chien-Hung Lin, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu, Accelerate Inference of CNN Models on CPU via Column Combining Based on Simulated Annealing, the International Symposium on Computing and Networking, November 2023
Yang, Bo-Yin
Ruiling Chen, Jiaxiang Liu, Xiaomu Shi, Ming-Hsien Tsai, Bow-Yaw Wang, and Bo-Yin Yang, llvm2CryptoLine: Verifying Arithmetic in Cryptographic C Programs, ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), December 2023
Ming-Hsien Tsai, Yu-Fu Fu, Jiaxiang Liu, Xiaomu Shi, Bow-Yaw Wang, and Bo-Yin Yang, Certified Verification for Algebraic Abstraction, Computer Aided Verification (CAV), July 2023
Ming-Hsien Tsai, Yu-Fu Fu, Jiaxiang Liu, Xiaomu Shi, Bow-Yaw Wang, and Bo-Yin Yang, CoqCryptoLine: A Verified Model Checker with Certified Results, Computer Aided Verification (CAV), July 2023
J. Ding, S. Kim, T. Takagi, Y. Wang and B.-Y. Yang, A physical study of the LLL algorithm, March 2023
Yang, De-Nian
R.-J. Wang, C.-H. Wang, D.-N. Yang, G.-S. Lee, and W.-T. Chen, Social-Inspired Multicast Feature Selections with Mobile Edge Computing, IEEE Global Communications Conference (IEEE GLOBECOM), December 2023
T.-A. Chen, D. -N. Yang and M.-S. Chen, Overcoming Forgetting Catastrophe in Quantization Aware Training, International Conference on Computer Vision (ICCV), October 2023
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, C.-Y. Shen, L.-H. Huang, Y.-S. Chen, W.-C. Lee, and D.-N. Yang, On Efficient Processing of Queries for Live Multi-Streaming Soiree Organization, July 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
W.-P. Wang, H.-W. Chen, D.-N. Yang, and M.-S. Chen, Post-it: Augmented Reality Based Group Recommendation with Item Replacement, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 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
Sheng-Hao Chiang, Chih-Hang Wang, De-Nian Yang, Wanjiun Liao, and W. T. Chen, Distributed Multicast Traffic Engineering for Multi-Domain Software-Defined Networks, January 2023
Yeh, Mi-Yen
Chia-Chen Yen, Mi-Yen Yeh, and Ming-Syan Chen, Integrated Multi-Ported Memory Distribution for Temporal-Multiplexing Workloads on FPGAs, International Conference on Field-Programmable Technology (FPT-2023), December 2023
Zee Hen Tang and Mi-Yen Yeh, EAGLE: Enhance Target-Oriented Dialogs by Global Planning and Topic Flow Integration, 32nd ACM International Conference on Information and Knowledge Management (CIKM-2023), October 2023
Chontipan Plengvittaya, Zee Hen Tang, Mi-Yen Yeh, and Chih-Ya Shen, Boosting Patch Correctness Checking via Combining Code-Edit Embeddings as Additional What-To-Change Information, The 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology ( WI-IAT 2023), October 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
