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.
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).
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, 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).
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).
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).
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.
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, 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.
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), 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, IEEE Transactions on Emerging Topics in Computing (TETC), January 2023.
Chung, Kai-Min
Kai-Min Chung, 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.
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
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.
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.
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.
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.
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.
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.
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.
Ku, Lun-Wei
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
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, 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, 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 (ICCV), 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 (ICML), 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).
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, One-shot Action Detection via Attention Zooming In, 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, 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
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.
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.
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.
Joan Boyar, Simon Skjernaa Erfurth, Kim S. Larsen, and Ruben Niederhagen, Quotable Signatures for Authenticating Shared Quotes, International Conference on Cryptology and Information Security in Latin America — LATINCRYPT 2023, 2023.
Su, Li
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.
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.
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.
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, Scientific Reports, August 2023.
Tsai, Huai-Kuang
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
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.
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), 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), 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
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.
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.
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.
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.
Yang, Bo-Yin
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
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
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.
