Han-Yu Liao, Yi-Shen Chen, Jen-Wei Hsieh, Yuan-Hao Chang, and Hung-Pin Chen, CellRejuvo: Rescuing the Aging of 3D NAND Flash Cells with Dense-Sparse Cell Reprogramming, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), October 2024
Chun-Lin Chu, Yun-Chih Chen, Wei Cheng, Ing-Chao Lin, and Yuan-Hao Chang, AttentionRC: A Novel Approach to Improve Locality Sensitive Hashing Attention on Dual-addressing Memory, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), October 2024, (Journal Track, Integrated with IEEE TCAD) (Top Conference)
Shin-Ting Wu, Pin-Jung Chen, Po-Chun Huang, Wei-Kuan Shih, and Yuan-Hao Chang, FIRM-tree: a Multidimensional Index Structure for Reprogrammable Flash Memory, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), October 2024, (Journal Track, Integrated with IEEE TCAD) (Top Conference)
Yun-Chih Chen, Yuan-Hao Chang, and Tei-Wei Kuo, Reliable, Versatile, and Efficient Data Matching in SSD’s NAND Flash Memory Chip for Data Indexing Acceleration, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), September 2024
Shi-Zhe Lin, Yun-Chih Chen, Yuan-Hao Chang, Tei-Wei Kuo, and Hsiang-Pang Li, LUTIN: Efficient Neural Network Inference with Table Lookup, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), August 2024, (Top Conference)
Tsun-Yu Yang, Ming-Chang Yang, and Yuan-Hao Chang, LeapGraph: A Fully External Graph Processing System on High-Speed SSD, IEEE Nonvolatile Memory Systems and Applications Symposium (NVMSA), August 2024
Chun-Feng Wu, Yuan-Hao Chang, Ming-Chang Yang, and Tei-Wei Kuo, How to Steal CPU Idle Time When Synchronous I/O Mode Becomes Promising, ACM/IEEE Design Automation Conference (DAC), June 2024, (Top Conference)
Yi-Syuan Lin, Yu-Pei Liang, Yuan-Hao Chang, and Wei-Kuan Shih, Bridging DNA Storage and Computation: An Integrated Framework for Efficient Biomolecular Data Management, ACM Symposium on Applied Computing (SAC), April 2024
Yun-Chih Chen, Yuan-Hao Chang, and Tei-Wei Kuo, Search-in-Memory (SiM): Conducting Data-Bound Computations on Flash Memory Chip for Enhanced Efficiency, ACM/IEEE Design, Automation and Test in Europe (DATE), March 2024
Yun-Shan Hsieh, Bo-Jun Chen, Po-Chun Huang, and Yuan-Hao Chang, PRESS: Persistence Relaxation for Efficient and Secure Data Sanitization on Zoned Namespace Storage, ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), January 2024
Chen, Liang-Ting (陳亮廷)
Chen, Liang-Ting and Ko, Hsiang-Shang, A formal treatment of bidirectional typing, 33rd European Symposium on Programming (ESOP 2024), April 2024
Chen, Ling-Jyh (陳伶志)
Chien-Ti Hsiao, Tzu-Chin Ho, Hsuan-Ying Liu, Yan-Chi Lu, Kate Lin, Ling-Jyh Chen, and Polly Huang, Taming the Variability of Soft Sensors, ACM International Workshop on Human-Centered Sensing, Networking, and Multi-Device System (HumanSys'24), November 2024
Kang-Syuan Peng, Ying-Kai Hsu, Ting-Ying Chien, and Ling-Jyh Chen, Using AI to Create Fun Psychological Tests: Applications and Performance Evaluation of Large Language Models in Questionnaire Design, International Conference of Digital Archives and Digital Humanities (DADH'24), November 2024
Chung, Kai-Min (鐘楷閔)
Kai-Min Chung, Eli Goldin, Matthew Gray, On Central Primitives for Quantum Cryptography with Classical Communication, The 44th International Cryptology Conference (Crypto 2024), August 2024
Kai-Min Chung, Mi-Ying Huang, Er-Cheng Tang, Jiapeng Zhang, Best-of-Both-Worlds Multiparty Quantum Computation with Publicly Verifiable Identifiable Abort, The 43rd Annual International Conference on the Theory and Applications of Cryptology and Information Security (Eurocrypt 2024), May 2024
Hong, Ding-Yong (洪鼎詠)
Scott Cheng, Mahmut Kandemir, Ding-Yong Hong, Speculative Monte-Carlo Tree Search, Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024
Ping-Han Tu, Yu-Che Cheng, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu, Approximation Algorithms and Simulated Annealing Heuristics for Row-And-Column Pruning of Deep Neural Networks, IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), November 2024
Chi-Yu Chiu, Ding-Yong Hong, Pangfeng Liu and Jan-Jan Wu, Effective Compression of Language Models by Combining Pruning and Knowledge Distillation, IEEE International Conference on Computers, Software, and Applications (COMPSAC), July 2024
Hsu, Tsan-sheng (徐讚昇)
Wei-Lin Hsueh and Tsan-sheng Hsu, Zweistein: A Dynamic-Programming Evaluation Function for Einstein Würfelt Nicht!, Proceedings of 2024 International Conference on Computers and Games (CG), November 2024
Chia-Ming Hsu, Hung-Cheng Lin, Yueh-Ting Chen, Chih-Wen Hsueh, Tsan-sheng Hsu, Construction, observation and knowledge abstraction for go endgames on small boards, March 2024, DOI: 10.1038/s41598-024-57338-x
Huang, Hen-Hsen (黃瀚萱)
Po Chun Chen, Sheng-Lun Wei, Hen-Hsen Huang and Hsin-Hsi Chen, Induct-Learn: Short Phrase Prompting with Instruction Induction, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), November 2024
Chr-Jr Chiu, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Pre-Finetuning with Impact Duration Awareness for Stock Movement Prediction, Pre-Finetuning with Impact Duration Awareness for Stock Movement Prediction, September 2024
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao, Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis, Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis, September 2024
Tsung-Hsuan Pan, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, "Why" Has the Least Side Effect on Model Editing, "Why" Has the Least Side Effect on Model Editing, September 2024
Yining Juan, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Co-Trained Retriever-Generator Framework for Question Generation in Earnings Calls, Co-Trained Retriever-Generator Framework for Question Generation in Earnings Calls, September 2024
Sheng-Lun Wei, Cheng-Kuang Wu, Hen-Hsen Huang, Hsin-Hsi Chen, Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models, August 2024
Chao-Ting Chen, Hen-Hsen Huang, Integrating LLM, VLM, and Text-to-Image Models for Enhanced Information Graphics: A Methodology for Accurate and Visually Engaging Visualizations, The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) (Demo), August 2024
Mao Xun Huang and Hen-Hsen Huang, Integrating Text-to-Image and Vision Language Models for Synergistic Dataset Generation: The Creation of Synergy-General-Multimodal Pairs, The 2nd International Workshop on Generalizing from Limited Resources in the Open World (GLOW) at International Joint Conference on Artificial Intelligence (IJCAI) 2024, July 2024
Chung-Chi Chen, Jian-Tao Huang, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen, Semeval-2024 task 7: Numeral-aware language understanding and generation, Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), June 2024
Yi-Ting Liu, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, News-Driven Price Movement Forecasting with Label-Prior Graph Attention, Companion Proceedings of the ACM on Web Conference 2024, May 2024
Jian-Tao Huang, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, NumHG: A Dataset for Number-Focused Headline Generation, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 2024
Tsung-Hsuan Pan, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Enhancing Society-Undermining Disinformation Detection through Fine-Grained Sentiment Analysis Pre-Finetuning, Findings of the Association for Computational Linguistics: EACL 2024, March 2024
Hsing-Yuan Ma, Hen-Hsen Huang, Chao-Lin Liu, Reading Between the Lines: Image-Based Order Detection in OCR for Chinese Historical Documents, Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024) (Demo), February 2024
Ko, Hsiang-Shang (柯向上)
Chen, Liang-Ting and Ko, Hsiang-Shang, A formal treatment of bidirectional typing, 33rd European Symposium on Programming (ESOP 2024), April 2024
Ku, Lun-Wei (古倫維)
Tsung-Huan Yang, Ko-Wei Huang, Yung-Hui Li, Lun-Wei Ku, Preserving Safety in Fine-Tuned Large Language Models: A Systematic Evaluation and Mitigation Strategy, in the Safe Generative AI workshop at Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), December 2024
Yi-Li Hsu, Jui-Ning Chen, Yang Fan Chiang, Shang-Chien Liu, Aiping Xiong, Lun-Wei Ku, Enhancing Perception: Refining Explanations of News Claims with LLM Conversations, Findings of the Association for Computational Linguistics: NAACL 2024, June 2024
Cheng-Te Li, Lun-Wei Ku, Yu-Che Tsai, The 12th International Workshop on Natural Language Processing for Social Media (SocialNLP 2024), Companion Proceedings of the ACM on Web Conference 2024, May 2024
Liao, Mark (廖弘源)
Chien-Yao Wang and Hong-Yuan Mark Liao, YOLOv1 to YOLOv10: The Fastest and Most Accurate Real-Time Object Detection Systems, November 2024
Chien-Yao Wang, I-Hau Yeh, and Hong-Yuan Mark Liao, YOLOv9: Leaning What You Want to Learn Using Programmable Gradient Information, European Conference on Computer Vision (ECCV), October 2024
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao, YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information, European Conference on Computer Vision, September 2024
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao, YOLOv9: Learning What You Want to Learn Using Programmable Gradient Informatio, European Conference on Computer Vision, September 2024
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao, YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information, European Conference on Computer Vision (ECCV), September 2024
Lin, Chung-Yen (林仲彥)
Duy-Cuong Le, Mai-Huong T Ngo, Yung-Che Kuo, Shu-Hwa Chen, Chung-Yen Lin, Thai-Yen Ling, Quoc Thao Trang Pham, Heng-Kien Au, Jihwan Myung, Yen-Hua Huang, Secretome from estrogen‑responding human placenta‑derived mesenchymal stem cells rescues ovarian function and circadian rhythm in mice with cyclophosphamide‑induced primary ovarian insufficiency, October 2024
Chia-Fen Tsai, Chia-Hsien Chuang, Pei-Chi Tu, Wan-Chen Chang,Yen-Po Wang, Pei-Yi Liu, Po-Shan Wu, Chung-Yen Lin, Ching-Liang Lu, Interaction of the Gut Microbiota and Brain Functional Connectivity in Late Life Depression, September 2024
Che-Chun Chen, Chung-Yen Lin, Hsin-Yun Lu, Chyng-Hwa Liou, Ying-Ning Ho, Chang-Wen Huang, Zhong-Fu Zhang, Chih-Hsin Kao, Wen-Chin Yang, Hong-Yi Gong, Transcriptomics and gut microbiome analysis of the edible herb Bidens pilosa as a functional feed additive to promote growth and metabolism in tilapia (Oreochromis spp.), August 2024
Wen-Li Wei and Jen-Chun Lin, Bridging Actions: Generate 3D Poses and Shapes In-between Photos, November 2024
Wen-Li Wei and Jen-Chun Lin, Multi-candidate Motion Modeling for 3D Human Pose and Shape Estimation from Monocular Video, IEEE International Conference on Multimedia and Expo (ICME), July 2024
Bo-Wei Tseng, Kenneth Yang, Yu-Hua Hu, Wen-Li Wei, and Jen-Chun Lin, Music-to-Dance Poses: Learning to Retrieve Dance Poses from Music, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2024
Huang-Ru Liao, Jen-Chun Lin, and Chun-Yi Lee, Progressive Hypothesis Transformer for 3D Human Mesh Recovery, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2024
Liu, Jing-Sin (劉進興)
MH Lee and JS Liu, Boosting RRT in Narrow Passage Scenarios with Batched Query Multiple Trees and GPU Acceleration, 21st International Conference on Automation Technologies (Automation 2024), November 2024
MH Lee and JS Liu, Reliable and Accurate Implicit Neural Representation of Multiple Swept Volumes with Application to Safe Human-Robot Interaction, March 2024
Liu, Tyng-Luh (劉庭祿)
Chieh Liu, Yu-Min Chu, Ting-I Hsieh, Hwann-Tzong Chen and Tyng-Luh Liu, Learning Diffusion Models for Multi-View Anomaly Detection, 18th European Conference on Computer Vision, September 2024, (ECCV)
Chih-Jung Tsai, Hwann-Tzong Chen and Tyng-Luh Liu, Pseudo-Embedding for Generalized Few-Shot 3D Segmentation, 18th European Conference on Computer Vision, September 2024, (ECCV)
Pei-Kai Huang, Cheng-Hsuan Chiang, Tzu-Hsien Chen, Jun-Xiong Chong, Tyng-Luh Liu and Chiou-ting Hsu, One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning, IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 2024, (CVPR)
Cheng-Yao Hong, Yen-Chi Hsu and Tyng-Luh Liu, Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking, IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 2024, (CVPR)
Yi-Wei Cheng, Po-Chih Kuo, Shih-Hong Chen, Yu-Ting Kuo, Tyng-Luh Liu, Wing-Sum Chan, Kuang-Cheng Chan and Yu-Chang Yeh, Early Prediction of Mortality at Sepsis Diagnosis Time in Critically Ill Patients by Using Interpretable Machine Learning, April 2024
Lu, Chun-Shien (呂俊賢)
Ching-Chia Kao, Chun-Shien Lu, and Chia-Mu Yu, Image Forensics Strikes Back: Defense Against Adversarial Patch, IEEE Visual Communications and Image Processing Conference (IEEE VCIP), December 2024
Farchan Hakim Raswa, Chun-Shien Lu, and Jia-Ching Wang, Knowledge Sharing via Mimicking High-Discriminative Features on Whole Slide Image Classification Learning, IEEE HealthCom, November 2024
Cheng-Chang Tsai, Yuan-Chih Chen, and Chun-Shien Lu, Test-Time Stain Adaptation with Diffusion Models for Histopathology Image Classification, European Conference on Computer Vision (ECCV), September 2024
SUN YUYANG, Isao Echizen, Huy H. Nguyen, Chun-Shien Lu, Zhang Zhiyong, and Sun Lu, Generalized Deepfakes Detection with Reconstructed-Blended Images and Multi-scale Feature Reconstruction Network, IJCB special session on Recent Advances in Detecting Manipulation Attacks on Biometric Systems, September 2024
Yuran Qiu, Huy H. Nguyen, Qingyao Liao, Chun-Shien Lu, and Isao Echizen, Analysis of Backdoor Attacks on Deepfake Detection, IJCB special session on Recent Advances in Detecting Manipulation Attacks on Biometric Systems, September 2024
Ching-Chia Kao, Cheng-Yi Lee, Chun-Shien Lu, Chu-Song Chen, and Chia-Mu Yu, On the Higher Moment Disparity of Backdoor Attacks, IEEE ICME, July 2024
Nghi Tran, Bima Prihasto, Phuong Thi Le, Thao Tran, Chun-Shien Lu, and Jia-Ching Wang, EVA-ASCA: Enhancing Voice Anti-Spoofing through Attention-based Similarity Weights and Contrastive Negative Attractors, IEEE International Conference on Artificial Intelligence (CAI), June 2024
Cheng-Yi Lee, Cheng-Chang Tsai, Ching-Chia Kao, Chun-Shien Lu, and Chia-Mu Yu, DEFENDING AGAINST CLEAN-IMAGE BACKDOOR ATTACK IN MULTI-LABEL CLASSIFICATION, IEEE International Conference on Acoustics, Speech and Signal Processing, April 2024
Chun-Shien Lu and Chao-Hsuan Lin, Robust DeepFake Detection via Perceptual Hashing, 10th Int’l Conference on Information Systems Security and Privacy (ICISSP), February 2024
Farchan Hakim Raswa, Chun-Shien Lu, and Jia-Ching Wang, Attention-Guided Prototype Mixing: Diversifying Minority Context on Imbalanced Whole Slide Images Classification Learning, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2024
Ma, Wei-Yun (馬偉雲)
Yu-Xiang Lin, Wei-Yun Ma, Generating Attractive and Authentic Copywriting from Customer Reviews, NAACL 2024, June 2024
Nai-Chi Yang, Wei-Yun Ma, Pu-Jen Cheng, Plug-in Language Model: Controlling Text Generation with a Simple Regression Model, NAACL 2024, June 2024
Chia-Wen Lu, Ching-Wen Yang, Wei-Yun Ma, Automatic Construction of a Chinese Review Dataset for Aspect Sentiment Triplet Extraction via Iterative Weak Supervision, LREC-COLING 2024, May 2024
Mu, Shin-Cheng (穆信成)
Shin-Cheng Mu, Bottom-up computation using trees of sublists, December 2024
Niederhagen, Ruben (倪儒本)
Tung Chou, Ruben Niederhagen, Lars Ran, and Simona Samardjiska, Reducing Signature Size of Matrix-Code-Based Signature Schemes, 16th International Conference on Post-Quantum Cryptography — PQCrypto 2024, June 2024
Shih, Arthur Chun-Chieh (施純傑)
Selomon Assefa Mindaye, Wei-Hsin Chen, Shih-Che Lin, Yong-Cyuan Chen, Mohamed Abbas Abdelaziz, Yi-Shiuan Tzeng, Arthur Chun-Chieh Shih, Shih-Yu Chen, Shi-Bing Yang, Chien-Chang Chen, Separate anterior paraventricular thalamus projections differentially regulate sensory and affective aspects of pain, November 2024
Su, Li (蘇黎)
Tzu-Yun Hung, Jui-Te Wu, Yu-Chia Kuo, Yo-Wei Hsiao, Ting-Wei Lin, Li Su, A Study on Synthesizing Expressive Violin Performances: Approaches and Comparisons, The 29th International Conference on Technologies and Applications of Artificial Intelligence, December 2024
Mequanent Argaw Muluneh, Yen-Tsung Peng, Li Su, Computational Analysis of Yaredawi YeZema Silt in Ethiopian Orthodox Tewahedo Church Chants, International Society for Music Information Retrieval Conference (ISMIR), November 2024
Mequanent Argaw Muluneh, Yan-Tsung Peng, Worku Abebe Degife, Nigussie Abate Tadesse, Aknachew Mebreku Demeku, Li Su, Zema Dataset: A Comprehensive Study of Yaredawi Zema with a Focus on Horologium Chants, 6th International Conference on Information and Communication Technology for Development for Africa, November 2024
Wei-Yang Lin, Yu-Chiang Frank Wang and Li Su, Enhancing violin fingering generation through audio-symbolic fusion, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2024
Chih-Cheng Chang and Li Su, BEAST: online joint beat and downbeat tracking based on streaming transformer, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2024
Sung, Ting-Yi (宋定懿)
Jen-Hung Wang and Ting-Yi Sung*, ToxTeller: Predicting Peptide Toxicity Using Four Different Machine Learning Approaches, July 2024
Tsai, Meng-Tsung (蔡孟宗)
Tong-Nong Lin, Yu-Cheng Lin, Cheng-Chen Tsai, Meng-Tsung Tsai, and Shih-Yu Tsai, Efficient Algorithms for Decomposing Integers as Sums of Few Tetrahedral Numbers, the 35th International Workshop on Combinatorial Algorithms (IWOCA), July 2024
WU, TI-RONG (吳廸融)
Hung Guei, Yan-Ru Ju, Wei-Yu Chen, Ti-Rong Wu, Interpreting the Learned Model in MuZero Planning, the 29th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), December 2024
Wang, Bow-Yaw (王柏堯)
Chen-Kai Lin and Bow-Yaw Wang, Formal Analysis of FreeRTOS Scheduler on ARM Cortex-M4 Cores, International Conference on Formal Engineering Methods (ICFEM), December 2024
Li-Chang Lai, Jiaxiang Liu, Xiaomu Shi, Ming-Hsien Tsai, Bow-Yaw Wang, and Bo-Yin Yang, Automatic Verification of Cryptographic Block Function Implementations with Logical Equivalence Checking, European Symposium on Research in Computer Security (ESORICS), September 2024
Chih-Cheng Rex Yuan and Bow-Yaw Wang, Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems, Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC), August 2024
Wang, Chien Yao (王建堯)
Chien-Yao Wang and Hong-Yuan Mark Liao, YOLOv1 to YOLOv10: The Fastest and Most Accurate Real-Time Object Detection Systems, November 2024
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao, YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information, European Conference on Computer Vision, September 2024
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao, YOLOv9: Learning What You Want to Learn Using Programmable Gradient Informatio, European Conference on Computer Vision, September 2024
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao, YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information, European Conference on Computer Vision (ECCV), September 2024
Wang, Chien-Min (王建民)
Chih-Jung Hsu, Yu-Xiang Luo, Yi-Chen Mao, Chien-Min Wang, and Yang Syu, Extracting Tuple-Based Service Demands with Large Language Models for Automated Service Composition, Proceedings of the 21st International Conference on Services Computing, November 2024
Wang, Hsin-Min (王新民)
Wen-Chin Huang, Szu-Wei Fu, Erica Cooper, Ryandhimas E. Zezario, Tomoki Toda, Hsin-Min Wang, Junichi Yamagishi, and Yu Tsao, The VoiceMOS Challenge 2024: Beyond Speech Quality Prediction, IEEE Workshop on Spoken Language Technology (SLT2024), December 2024
Chien-Chun Wang, Li-Wei Chen, Hung-Shin Lee, Berlin Chen, and Hsin-Min Wang, Effective Noise-aware Data Simulation for Domain-adaptive Speech Enhancement Leveraging Dynamic Stochastic Perturbation, IEEE Workshop on Spoken Language Technology (SLT2024), December 2024
Wenze Ren, Yi-Cheng Lin, Huang-Cheng Chou, Haibin Wu, Yi-Chiao Wu, Chi-Chun Lee, Hung-yi Lee, Hsin-Min Wang, and Yu Tsao, EMO-Codec: An In-Depth Look at Emotion Preservation Capacity of Legacy and Neural Codec Models with Subjective and Objective Evaluations, APSIPA Annual Summit and Conference (APSIPA ASC 2024), December 2024
Pei-Jun Liao, Hung-Yi Lee, and Hsin-Min Wang, Ensemble Knowledge Distillation from Speech SSL Models Considering Inter-teacher Differences, International Symposium on Chinese Spoken Language Processing (ISCSLP2024), November 2024
Hsin-Tien Chiang, Szu-Wei Fu, Hsin-Min Wang, Yu Tsao, and John H. L. Hansen, Multi-objective Non-intrusive Hearing-aid Speech Assessment Model, November 2024, arXiv:2311.08878
Aleksandra Smolka, Hsin-Min Wang, Jason S. Chang, and Keh-Yih Su, Selecting Better ChatGPT Prompts for NLP Tasks, The 36th ROCLING Conference on Computational Linguistics and Speech Processing (ROCLING2024), November 2024
Wenze Ren, Kuo-Hsuan Hung, Rong Chao, YouJin Li, Hsin-Min Wang, and Yu Tsao, Robust Audio-Visual Speech Enhancement: Correcting Misassignments in Complex Environments with Advanced Post-Processing, Oriental COCOSDA 2024: International Conference on Speech Databases and Assessments, October 2024
Hsin-Te Hwang, Chia-Hua Wu, Ming-Chi Yen, Yu Tsao, and Hsin-Min Wang, Exemplar-Based Methods for Mandarin Electrolaryngeal Speech Voice Conversion, Oriental COCOSDA 2024: International Conference on Speech Databases and Assessments, October 2024
Ryandhimas E. Zezario, Fei Chen, Chiou-Shann Fuh, Hsin-Min Wang, and Yu Tsao, Non-Intrusive Speech Intelligibility Prediction for Hearing Aids using Whisper and Metadata, Interspeech2024, September 2024
Sheng-Chieh Chiu, Chia-Hua Wu, Jih-Kang Hsieh, Yu Tsao, and Hsin-Min Wang, Learnable Layer Selection and Model Fusion for Speech Self-Supervised Learning Models, Interspeech2024, September 2024
Chun Yin, Tai-Shih Chi, Yu Tsao, and Hsin-Min Wang, SVSNet+: Enhancing Speaker Voice Similarity Assessment Models with Representations from Speech Foundation Models, Interspeech2024, September 2024
Shafique Ahmed, Chia-Wei Chen, Wenze Ren, Chin-Jou Li, Ernie Chu, Jun-Cheng Chen, Amir Hussain, Hsin-Min Wang, Yu Tsao, and Jen-Cheng Hou, Deep Complex U-Net with Conformer for Audio-Visual Speech Enhancement, Interspeech2024-AVSEC-3 Workshop , September 2024
Ryandhimas E. Zezario, Yu-Wen Chen, Szu-Wei Fu, Yu Tsao, Hsin-Min Wang, and Chiou-Shann Fuh, A Study on Incorporating Whisper for Robust Speech Assessment, IEEE International Conference on Multimedia and Expo (ICME), July 2024
Ryandhimas Zezario, Bo-Ren Brian Bai, Chiou-Shann Fuh, Hsin-Min Wang, and Yu Tsao, Multi-Task Pseudo-Label Learning for Non-Intrusive Speech Quality Assessment Model, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2024), April 2024
Hsuan-Fu Wang, Yi-Jen Shih, Heng-Jui Chang, Layne Berry, Puyuan Peng, Hung-yi Lee, Hsin-Min Wang, and David Harwath, SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data, IEEE ICASSP 2024 Workshop: Self-supervision in Audio, Speech and Beyond, April 2024
Erica Cooper, Wen-Chin Huang, Yu Tsao, Hsin-Min Wang, Tomoki Toda, Junichi Yamagishi, A review on subjective and objective evaluation of synthetic speech, April 2024
Wu, Jan-Jan (吳真貞)
Ping-Han Tu, Yu-Che Cheng, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu, Approximation Algorithms and Simulated Annealing Heuristics for Row-And-Column Pruning of Deep Neural Networks, IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), November 2024
Chi-Yu Chiu, Ding-Yong Hong, Pangfeng Liu and Jan-Jan Wu, Effective Compression of Language Models by Combining Pruning and Knowledge Distillation, IEEE International Conference on Computers, Software, and Applications (COMPSAC), July 2024
Yang, Bo-Yin (楊柏因)
Li-Chang Lai, Jiaxiang Liu, Xiaomu Shi, Ming-Hsien Tsai, Bow-Yaw Wang, and Bo-Yin Yang, Automatic Verification of Cryptographic Block Function Implementations with Logical Equivalence Checking, European Symposium on Research in Computer Security (ESORICS), September 2024
L.-J. Jian, T.-Y. Wang, B.-Y. Yang, and M.-S. Chen, Jumping for Bernstein-Yang Inversion, ACISP 2024, July 2024
V. Hwang, C.-T. Liu, and B.-Y. Yang, Algorithmic Views of Vectorized Polynomial Multipliers - NTRU Prime, March 2024
Yang, De-Nian (楊得年)
C.-W. Lin, D.-N. Yang, and W. Liao, On VR Sickness Mitigation for Socially-aware Mobile 360° Video Streaming with Handover, IEEE Global Communications Conference (IEEE GLOBECOM), December 2024
Y.-W. Teng, Y. Shi, D.-N. Yang, C.-H. Tai, P. S. Yu, and M.-S. Chen, Multi-grade Revenue Maximization for Promotional and Competitive Viral Marketing in Social Networks, December 2024
S.-H. Chiang, C.-H. Wang, D.-N. Yang, W. Liao, and W.-T. Chen, Online Multicast Traffic Engineering for Multi-View Videos With View Synthesis in SDN, August 2024
H.-R. Lai, R.-J. Wang, C.-H. Wang, D.-N. Yang, W.-T. Chen, and J.-P. Sheu, Socially-Aware Tile-Based Point Cloud Multicast with Registration, IEEE International Conference on Communications (IEEE ICC), June 2024
B.-J. Chen, C. Y. Ho, and D.-N. Yang, AFTER: Adaptive Friend Discovery for Temporal-spatial and Social-aware XR, IEEE International Conference on Data Engineering (IEEE ICDE), May 2024
B.-Y Hsu, C.-Y. Shen, H. S. Yao, W.-C. Lee, and D.-N. Yang, Social-Aware Group Display Configuration in VR Conference, AAAI Conference on Artificial Intelligence (AAAI), February 2024
C.-H. Wang , Y. Shi , D.-N. Yang , W.-Y. Chen , W.-T. Chen, Joint IoT Device Selection and Health-Aware Beamforming Design for MIMO-WPT, February 2024
Y. Shi, W.-H. Kuo, C.-W. Huang, Y.-C Chou, S.-H. Fang, and D.-N. Yang, Cross-Layer Video Synthesizing and Antenna Allocation Scheme for Multi-View Video Provisioning under Massive MIMO Networks, January 2024
