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)
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
Chen, Liang-Ting and Ko, Hsiang-Shang, A formal treatment of bidirectional typing, 33rd European Symposium on Programming (ESOP 2024), April 2024
Chung, Kai-Min
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
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), October 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
Huang, Hen-Hsen
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), August 2024
Mao Xun Huang, Hen-Hsen Huang, Integrating Text-to-Image and Vision Language Models for Synergistic Dataset Generation: The Creation of Synergy-General-Multimodal Pairs, July 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, June 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, The Demonstration Track of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI’24), February 2024
Ko, Hsiang-Shang
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
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
Lin, Chung-Yen
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, November 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, 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
Wen-Li Wei and Jen-Chun Lin, Bridging Actions: Generate 3D Poses and Shapes In-between Photos, 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
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
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 (ECCV), 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 (ECCV), 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 (CVPR), 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 (CVPR), June 2024, (CVPR)
Lu, Chun-Shien
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
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
Niederhagen, Ruben
Tung Chou, Ruben Niederhagen, Lars Ran, and Simona Samardjiska, Reducing Signature Size of Code-based Signature Schemes, 16th International Conference on Post-Quantum Cryptography — PQCrypto 2024, June 2024
Su, Li
Mequanent Argaw Muluneh, Yen-Tsung Peng, Li Su, Yaredawi YeZema Silt Classification: Computational Analysis of Ethiopian Orthodox Tewahido 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
Jen-Hung Wang and Ting-Yi Sung*, ToxTeller: Predicting Peptide Toxicity Using Four Different Machine Learning Approaches, July 2024
Tsai, Meng-Tsung
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
Wang, Hsin-Min
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
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
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
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), October 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, De-Nian
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
