中央研究院 資訊科學研究所

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2023 著作目錄

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Chang, Yuan-Hao (張原豪)

  • Tse-Yuan Wang, Che-Wei Tsao, Yuan-Hao Chang, and Tei-Wei Kuo, Retention-Aware Read Acceleration Strategy for LDPC-based NAND Flash Memory, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), December 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, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), October 2023.
  • 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).
  • 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).
  • 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).
  • 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-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 Transactions on Embedded Computing Systems (TECS), 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, 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 Transactions on Embedded Computing Systems (TECS), September 2023, (Integrated with ACM/IEEE CODES+ISSS'23).
  • 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).
  • 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).
  • Yun-Chih Chen, Chun-Feng Wu, Yuan-Hao Chang, and Tei-Wei Kuo, ZoneLife: How to Utilize Data Lifetime Semantics to Make SSDs Smarter, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 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.
  • 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, (Best Paper Nomination - 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).
  • 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).
  • Zheng-Wei Wu, Yun-Chih Chen, Yuan-Hao Chang, and Tei-Wei Kuo, APP: Enabling Soft Real-time Execution on Densely-populated Hybrid Memory Systems, 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, 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 (鐘楷閔)

  • 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, 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, The Journal of the ACM (JACM), February 2023.

Hong, Ding-Yong (洪鼎詠)

  • 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.
  • 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.
  • 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, Japan, November 2023.

Hsu, Tsan-sheng (徐讚昇)

  • 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.
  • 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 (黃瀚萱)

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Yang-Yin Lee, Ting-Yu Yen, Hen-Hsen Huang, Yow-Ting Shiue and Hsin-Hsi Chen, On generalization of the sense retrofitting model, Natural Language Engineering, 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, ACM Transactions on the Web, 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, Multimedia Tools and Applications, February 2023.
  • 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.
  • 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.
  • 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 (古倫維)

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Liao, Mark (廖弘源)

  • 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.

Liau, Churn-Jung (廖純中)

  • C.J. Liau:, Reasoning about games with possibilistic uncertainty, Integrated Uncertainty in Knowledge Modelling and Decision Making - 10th International Symposium, IUKM 2023, November 2023.
  • C.Y. Lin and C.J. Liau:, Many-valued coalgebraic modal logic: One-step completeness and finite model property, Fuzzy Sets and Systems, September 2023.
  • C.Y. Lin and C.J. Liau:, An inductive construction for many-valued coalgebraic modal logic, 53rd IEEE International Symposium on Multiple-Valued Logic, ISMVL, May 2023.

Lin, Chung-Yen (林仲彥)

  • 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.

Lin, Jen-Chun (林仁俊)

  • 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.

Liu, Jing-Sin (劉進興)

  • 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 (劉庭祿)

  • Cheng-Yao Hong, Yu-Ying Chou and Tyng-Luh Liu, Attention Discriminant Sampling for Point Clouds, International Conference on Computer Vision, Paris, France, October 2023, (ICCV).
  • 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, Hawaii, USA, July 2023, (ICML).
  • 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, IEEE Transactions on Image Processing, July 2023, (TIP).
  • 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, Rhodes Island, Greece, June 2023, (ICASSP).
  • 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, Rhodes Island, Greece, 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, Hawaii, USA, January 2023, (WACV).

Lu, Chi-Jen (呂及人)

  • 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 (呂俊賢)

  • 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 (倪儒本)

  • 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, Lars Ran, Tovohery Hajatiana Randrianarisoa, Krijn Reijnders, Simona Samardjiska, and Monika Trimoska, MEDS – Submission to NIST "Post-Quantum Cryptography: Digital Signature Schemes", July 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.
  • 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 (蘇黎)

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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, Journal of New Music Research (JNMR), October 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.
  • 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.
  • 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.
  • 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.

Sung, Ting-Yi (宋定懿)

  • 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, Scientific Reports, August 2023.

Tsai, Huai-Kuang (蔡懷寬)

  • Chen, Y.H., Chao, K.H., Wong, J.Y., Liu, C.F., Leu, J.Y. and Tsai, H.K., A feature extraction free approach for protein interactome inference from co-elution data, Briefings in Bioinformatics, June 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.
  • 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.
  • 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.

Tsai, Meng-Tsung (蔡孟宗)

  • 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.
  • Kuo-Kai Lee, Wing-Kai Hon, Chung-Shou Liao, Kunihiko Sadakane, Meng-Tsung Tsai, Fully Dynamic No-Back-Edge-Traversal Forest via 2D-Range Queries, International Journal of Computational Geometry & Applications, 2023.

WU, TI-RONG (吳廸融)

  • Ti-Rong Wu, Hung Guei, Ting Han Wei, Chung-Chin Shih, Jui-Te Chin, I-Chen Wu, Game Solving with Online Fine-Tuning, The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), December 2023, (Acceptance rate: 26.1% (3,218/12,343)).
  • Chien-Liang Kuo, Po-Ting Chen, Hung Guei, De-Rong Sung, Chu-Hsuan Hsueh, Ti-Rong Wu, I-Chen Wu, An Empirical Analysis of Gumbel MuZero on Stochastic and Deterministic Einstein Würfelt Nicht!, the 28th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), December 2023.

Wang, Chien-Min (王建民)

  • 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 (王大為)

  • Chung-Han Liang, Da-Wei Wang & Mei-Lien Pan, Grouped data with survey revision, BMC Medical Research Methodology volume, January 2023.

Wang, Hsin-Min (王新民)

  • 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.
  • 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.
  • 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.
  • Yung-Lun Chien, Hsin-Hao Chen, Ming-Chi Yen, Shu-Wei Tsai, Hsin-Min Wang, Yu Tsao, and Tai-Shih Chi, Audio-Visual Mandarin Electrolaryngeal Speech Voice Conversion, 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.
  • 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.
  • Chin-Yi Cheng, Hung-Shin Lee, Yu Tsao, Hsin-Min Wang, Multi-target Extractor and Detector for Unknown-number Speaker Diarization, IEEE Signal Processing Letters, 2023, arXiv:2203.16007.
  • 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.
  • Yu-Wen Chen, Hsin-Min Wang, and Yu Tsao, BASPRO: A balanced script producer for speech corpus collection based on the genetic algorithm, APSIPA Transactions on Signal and Information Processing, 2023, arXiv:2301.04120.
  • 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.

Wu, Jan-Jan (吳真貞)

  • 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, Japan, November 2023.

Yang, Bo-Yin (楊柏因)

  • J. Ding, S. Kim, T. Takagi, Y. Wang and B.-Y. Yang, A physical study of the LLL algorithm, Journal of Number Theory, March 2023.
  • B.-Y. Peng, A. Marotzke, M.-H. Tsai, B.-Y. Yang, and H.-L. Chen, Streamlined NTRU Prime on FPGA, Journal of Cryptographic Engineering, 2023.
  • W. Beullens, M.-S. Chen, S.-H. Hung, Matthias J. Kannwischer, B.-Y. Peng, C.-J. Shih, B.-Y. Yang, Oil and Vinegar: Modern Parameters and Implementation, IACR Transactions on Cryptographic Hardware and Embedded Systems, 2023.

Yang, De-Nian (楊得年)

  • 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, 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.
  • S.-H. Chiang, C.-H. Wang, D.-N. Yang, W. Liao, and W.-T. Chen, Distributed Multicast Traffic Engineering for Multi-Domain Software-Defined Networks, IEEE Trans. on Parallel and Distributed Systems, January 2023.

Yeh, Mi-Yen (葉彌妍)

  • 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.
  • 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.
  • 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.
  • 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.