Chang-Sheng Lee, I-Chen Lee, and Ling-Jyh Chen, Enhancing Firewall Rule Anomaly Detection via LLM Alignment, IEEE International Conference on Technologies and Applications of Artificial Intelligence (TAAI'25), December 2025
Chang-Sheng Lee, Ling-Jyh Chen, Can AI Outsmart Firewall Errors? A Study on LLMs for Anomaly Generation and Detection, IEEE International Conference on Dependable and Secure Computing (DSC'25), October 2025
Pei-Yu Ho, Ming-Kuang Chung, and Ling-Jyh Chen, Urban Pulse: Measuring Pace of Life through Public Camera-Based Cadence Analysis, August 2025
Barrak Alahmad, Shih-Chun Lung, Andrew Makar, Mr Yazan Alwadi, Chun-Hsiang Chiu, Shu-Chuan Hu, Ling-Jyh Chen, Hsin Hung Chen, and C.Y. Chen, Heat Stress and Productivity Losses in Urban Construction Workforces, July 2025
Ling-Jyh Chen, Sakshi Saraswat, Fu-Shiang Ching, Chih-Yi Su, Hsin-Lan Huang, and Wen-Chi Pan, Development and implementation of EcoDecibel: A low-cost and IoT-based device for noise measurement, March 2025
Chen, Yu-Fang (陳郁方)
Yu-Fang Chen, Kai-Min Chung, Min-Hsiu Hsieh, Wei-Jia Huang, Ondřej Lengál, Jyun-Ao Lin, Wei-Lun Tsai, AutoQ 2.0: From Verification of Quantum Circuits to Verification of Quantum Programs, The 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2025), May 2025
Parosh Aziz Abdulla, Yo-Ga Chen, Yu-Fang Chen, Lukáš Holík, Ondřej Lengál, Jyun-Ao Lin, Fang-Yi Lo, Wei-Lun Tsai, Verifying Quantum Circuits with Level-Synchronized Tree Automata, The 52nd ACM SIGPLAN Symposium on Principles of Programming Languages (POPL 2025), January 2025
Chung, Kai-Min (鐘楷閔)
Yu-Fang Chen, Kai-Min Chung, Min-Hsiu Hsieh, Wei-Jia Huang, Ondřej Lengál, Jyun-Ao Lin, Wei-Lun Tsai, AutoQ 2.0: From Verification of Quantum Circuits to Verification of Quantum Programs, The 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2025), May 2025
Hsiao-Yu Hu, Hao-Ting Wei, Meng-Hsi Li, Kai-Min Chung, Chung-Shou Liao, Online TSP and Online Dial-a-ride with Predictions, March 2025
Hong, Ding-Yong (洪鼎詠)
Scott Cheng, Meng-Yu Tsai, Ding-Yong Hong, Mahmut Kandemir, Uncertainty-Guided Exploration for Efficient AlphaZero Training, Annual Conference on Neural Information Processing Systems (NeurIPS), December 2025
Ming-Yen Chiang, Tzu-Hsien Tsai, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu, Optimizing Pipeline Parallelism for Deep Learning with Activation Checkpointing, The International Symposium on Computing and Networking, November 2025
Cai-Feng Lin, Ding-Yong Hong, Tzu-Hsien Tsai, Pangfeng Liu, Jan-Jan Wu, A Grouping Algorithm for Training Tree-Shaped Models on Multiple GPUs with High Efficiency, IEEE International Conference on Computers, Software, and Applications (COMPSAC), July 2025
Ding-Yong Hong, Tzu-Hsien Tsai, Ning Wang, Pangfeng Liu, Jan-Jan Wu, GPU Memory Usage Optimization for Backward Propagation in Deep Network Training, May 2025
Ze-Wei Liou and Ding-Yong Hong, Optimizing Compute Core Assignment for Dynamic Batch Inference in AI Inference Accelerator, ACM Symposium on Applied Computing (SAC), March 2025
Bing-Jou Wu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu, Execution Time Optimization for Pipeline Deep Network Training on Multiple GPUs, Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), March 2025
Hsu, Tsan-sheng (徐讚昇)
Wei-Lin Hsueh and Tsan-sheng Hsu, An approximate solution of ”Einstein Würfelt Nicht!”, Proceedings of 2025 IEEE Conference on Games (IEEE CoG), August 2025
Chen J-C, Chen C-L, Tsan-sheng Hsu, Studies of Winning Tactics for the Chinese Chess KNPkgm Endgame, May 2025
Huang, Hen-Hsen (黃瀚萱)
Hsin-Yi Hsieh, Shang-Wei Liu, Chang Chih Meng, Chien-Hua Chen, Shuo-Yueh Lin, Hung-Ju Lin, Hen-Hsen Huang, and I-Chen Wu, TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models, The 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025) Datasets and Benchmarks Track, December 2025
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao, Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis, The 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2025, Main Track) , December 2025
Po-Chun Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Diverge to Induce Prompting: Multi-Rationale Induction for Zero-Shot Reasoning, In Findings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2025), December 2025
Bustami Yusuf, Hen-Hsen Huang, Robust Handwritten Text Recognition via Multi-Source Adversarial Domain Adaptation for Low-Resource Scripts, The 34th ACM International Conference on Information and Knowledge Management (CIKM 2025), November 2025
Po-Chun Chen, Hen-Hsen Huang, Hsin-Hsi Chen, VQA-Induct: Instruction Induction for Visual Question Answering, The 34th ACM International Conference on Information and Knowledge Management (CIKM 2025), November 2025
Cheng-Kai Yeh, Hsing-Wang Lee, Chung-Hung Kuo, Hen-Hsen Huang, AR^2: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models, The 34th ACM International Conference on Information and Knowledge Management (CIKM 2025), November 2025
Chien Hung Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Self-Augmented Preference Alignment for Sycophancy Reduction in LLMs, The 30th Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), November 2025
Brian J Chan, Mao-xun Huang, Jui-Hung Cheng, Chao-Ting Chen, Hen-Hsen Huang, Efficient Beam Search for Large Language Models Using Trie-Based Decoding, The 30th Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), November 2025
Wei-Hsiang Lin, Sheng-Lun Wei, Hen-Hsen Huang, Hsin-Hsi Chen, Do Before You Judge: Self-Reference as a Pathway to Better LLM Evaluation, In Findings of the 30th Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), November 2025
Chia Cheng Chang, An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen, Personalized Graph-Empowered Large Language Model for Proactive Information Access, The 24th IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2025), November 2025
Che-Wei Huang, An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen, Follow-up Question Modeling for Open-Retrieval Conversations with Wh-Questions, The 24th IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2025), November 2025
Mao-Xun Huang, Brian J Chan, Hen-Hsen Huang, SmartSpatial: Enhancing 3D Spatial Awareness in Stable Diffusion with a Novel Evaluation Framework, The 34th International Joint Conference on Artificial Intelligence (IJCAI 2025) Special Track on AI, Arts & Creativity, August 2025
Brian J Chan, Chao-Ting Chen, Jui-Hung Cheng, Hen-Hsen Huang, Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks, The Web Conference 2025 (WWW 2025), April 2025
Chr-Jr Chiu, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Pre-Finetuning with Impact Duration Awareness for Stock Movement Prediction, The Web Conference 2025 (WWW 2025), April 2025
Yining Juan, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Co-Trained Retriever-Generator Framework for Question Generation in Earnings Calls, The Web Conference 2025 (WWW 2025), April 2025
Zixin Tang, Chieh-Yang Huang, Tsung-Che Li, Ho Yin Sam Ng, Hen-Hsen Huang, Ting-Hao 'Kenneth' Huang, Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties, The North American Chapter of the Association for Computational Linguistics (NAACL 2025), April 2025
Yu-Chuan Chen, Hen-Hsen Huang, Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), February 2025
Ku, Lun-Wei (古倫維)
Wei-Hsin Yeh, Yu-An Su, Chih-Ning Chen, Yi-Hsueh Lin, Calvin Ku, Wen-Hsin Chiu, Min-Chun Hu, Lun-Wei Ku, CoachMe: Decoding Sport Elements with a Reference-Based Coaching Instruction Generation Model, in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), July 2025
Jian-Jia Weng, Calvin Ku, Jo Chien Wang, Chih-Jen Cheng, Tica Lin, Yu-An Su, Tsung-Hsun Tsai, You-Yi Lin, Lun-Wei Ku, Hung-Kuo Chu, Min-Chun Hu, Bridging Coaching Knowledge and AI Feedback to Enhance Motor Learning in Basketball Shooting Mechanics Through a Knowledge- Based SOP Framework, in Proceedings of 2025 Conference on Human Factors in Computing Systems (CHI 2025), April 2025
Yu-An Su, Wei-Hsin Yeh, Yi-Hsueh Lin, Chih-Ning Chen, Calvin Ku, Min-Chun Hu, Wenhsin Chiu, Lun-Wei Ku, How can an AI model coach intense sport?, February 2025
Liao, Mark (廖弘源)
Hung-Shuo Chang, Chien-Yao Wang, Richard Robert Wang, Gene Chou, and Hong-Yuan Mark Liao, Generalist YOLO: Towards Real-Time End-to-End Multi-Task Visual Language Models, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), March 2025
Liau, Churn-Jung (廖純中)
P. Howlader and C.J. Liau, On the logical and algebraic aspects of reasoning with formal contexts, July 2025
Lin, Chung-Yen (林仲彥)
Po-Cheng Hsu, Chung-Yen Lin, Ping-Heng Hsieh, Wei-Hsuan Chuang, Mei-Yeh Lu, Chaolun A llen Chen, Shu-Hwa Chen, Chromosome-Level Genome Assembly and Annotation of the Japanese Cutlassfish (Trichiurus japonicus): A High-Quality Genomic Resource Featuring Nuclear and Mitochondrial Completeness for Future Studies, November 2025
Chia-Wen Lai, Chung-Yen Lin, Meng-Chen Tsai, Wei-Jung Chen, Chia-Chun Hsieh, Zi-Jing Lin, Li-Jiuan Shen, Ying-Lien Chen, Lee-Jene Lai, Shu-Hwa Chen, Yang-Hsin Shih, From AI to action: Antimicrobial peptides engineered by generative adversarial networks (GANs)-A novel approach to combat resistant Bacteria, September 2025
Shu-Hwa Chen, Bo-Yi Yu, Wen-Yu Kuo, Ya-Bo Lin, Sheng-Yao Su, Wei-Hsuan Chuang, I-Hsuan Lu, Chung-Yen Lin, A Deconvolution Approach to Unveiling the Immune Microenvironment of Complex Tissues and Tumors in Transcriptomics, May 2025, Demo website: https://mysort.iis.sinica.edu.tw/, Docker Image: https://hub.docker.com/r/lsbnb/mysort_2022
Yu-Jie Lin, Ping-Heng Hsieh, Chun-Chia Mao, Yang-Hsin Shih, Shu-Hwa Chen, Chung-Yen Lin, Interpretation of Machine Learning-Based Prediction Models and Functional Metagenomic Approach to Identify Critical Genes in HBCD Degradation, March 2025
Lin, Jen-Chun (林仁俊)
Kenneth Yang, Wen-Li Wei, and Jen-Chun Lin, FPS: Feedforward-based Parameter Selection For Efficient Fine-Tuning, NeurIPS Constrained Optimization for Machine Learning (COML) Workshop, December 2025
Wen-Li Wei, Yu-Hua Hu, and Jen-Chun Lin, CamSketch: Authoring Camera Trajectories for 3D Virtual Concerts via Example-Derived Codes and User Sketching, ACM SIGGRAPH ASIA Posters Program, December 2025
Bo-Wei Tseng, Wen-Li Wei, and Jen-Chun Lin, Birds of a Feather: Learning to Retrieve Dance Poses from Music via Ground-Truth Annotation Lifting, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2025
Yi-Xing Lin, Jen-Chun Lin, Wen-Li Wei, and Jia-Ching Wang, Learnable Counterfactual Attention for Music Classification, January 2025
Liu, Tyng-Luh (劉庭祿)
Cheng-Yao Hong, Li-Heng Wang and Tyng-Luh Liu, Promptable 3-D Object Localization with Latent Diffusion Models, Thirty-Ninth Annual Conference on Neural Information Processing Systems, December 2025, (NeurIPS)
Lo-Wei Tai, Ching-En Li, Cheng-Lin Chen, Chih-Jung Tsai, Hwann-Tzong Chen and Tyng-Luh Liu, EigenGS Representation: From Eigenspace to Gaussian Image Space, IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 2025, (CVPR)
Cheng-Yao Hong and Tyng-Luh Liu, Multimodal Promptable Token Merging for Diffusion Models, The 39th Annual AAAI Conference on Artificial Intelligence, February 2025, (AAAI)
Pei-Kai Huang, Jun-Xiong Chong, Cheng-Hsuan Chiang, Tzu-Hsien Chen, Tyng-Luh Liu and Chiou-Ting Hsu, SLIP: Spoof-aware One-class Face Anti-Spoofing with Language Image Pretraining, The 39th Annual AAAI Conference on Artificial Intelligence, February 2025, (AAAI)
Li-Heng Wang, YuJu Cheng and Tyng-Luh Liu, Tracking Everything Everywhere across Multiple Cameras, The 39th Annual AAAI Conference on Artificial Intelligence, February 2025, (AAAI)
Lu, Chun-Shien (呂俊賢)
Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu, and Chu-Song Chen, The Great Contradiction Showdown: How Jailbreak and Stealth Wrestle in Vision-Language Models?, The 17th Asian Conference on Machine Learning (ACML 2025), December 2025
Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu, and Chu-Song Chen, Safety Alignment Depth in Large Language Models: A Markov Chain Perspective, The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2025
Hsi-Ling Chen, Chun-Shien Lu, and Pau-Choo Chung, SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification, The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS) (Spotlight), December 2025
Cheng-Yi Lee, Yu-Feng Chen, Chun-Shien Lu, and Jun-Cheng Chen, On Forging Semantic Watermarks in Diffusion Models: A Theoretical Perspective, NeurIPS 2025 Workshop GenProCC, December 2025
Hanrui Wang, Ching-Chun Chang, Chun-Shien Lu, Christopher Leckie, and Isao Echizen, GreedyPixel: Fine-Grained Black-Box Adversarial Attack Via Greedy Algorithm, November 2025
Quoc-Thang Phan, Chun-Shien Lu, Jia-Ching Wang, Towards Evaluation of Gradient-based Reconstruction Attacks in Privacy-Preserving Federated Learning, IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 2025
Po-Yuan Mao, Cheng-Chang Tsai, and Chun-Shien Lu, MaXsive: High-Capacity and Robust Training-Free Generative Image Watermarking in Diffusion Models, ACM International Conference on Multimedia (ACM MM), October 2025
Cheng-Yi Lee, Yu-Hsuan Chiang, Zhong-You Wu, Chia-Mu Yu, and Chun-Shien Lu, BadVim: Unveiling Backdoor Threats in Visual State Space Model, European Conference on Artificial Intelligence (ECAI), October 2025
Wenny Ramadha Putri, Chun-Shien Lu, and Jia-Ching Wang, User-Customizable Voice Anonymization Through Personalized Style Transfer, IEEE Int’l Joint Conference on Biometrics (IJCB), special session on Recent Advances in Detecting Manipulation Attacks on Biometric Systems (ADMA 2025), September 2025
Yuan-Chih Chen and Chun-Shien Lu, Diffusion or Non-Diffusion Adversarial Defenses: Rethinking the Relation between Classifier and Adversarial Purifier, The SECAI Workshop in 30th European Symposium on Research in Computer Security (ESORICS), September 2025
Shuhan Cui, Huy H. Nguyen, Trung-Nghia Le, Chun-Shien Lu, and Isao Echizen, LookupForensics: A Large-Scale Multi-Task Dataset for Multi-Stage Image-Based Fact Verification, August 2025
Farchan Hakim Raswa, Chun-Shien Lu, and Jia-Ching Wang, HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025
Cheng-Yi Lee, Ching-Chia Kao, Cheng-Han Yeh, Chun-Shien Lu, Chia-Mu Yu, and Chu-Song Chen, Defending Against Unlabeled Data Poisoning Attack on Semi-Supervised Learning through Lens of Rate-Distortion-Perception Trade-off, IEEE/CVF Winter Conference on Computer Vision (WACV), February 2025
Hung-Lei Lee, Chun-Shien Lu, and Jia-Ching Wang, Defense Against Backdoor Attacks on Image Retrieval Models Through Strategic Manipulations, 11st Int’l Conference on Information Systems Security and Privacy (ICISSP), February 2025
Ma, Wei-Yun (馬偉雲)
Hsun-Yu Kuo, Yin-Hsiang Liao, Yu-Chieh Chao, Wei-Yun Ma, Pu-Jen Cheng, Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification, The Thirteenth International Conference on Learning Representations (ICLR 2025 Spotlight), April 2025
Niederhagen, Ruben (倪儒本)
Post-Quantum Cryptography, Part I, March 2025
Post-Quantum Cryptography, Part II, March 2025
Matthias J. Kannwischer, Ruben Niederhagen, Francisco Rodriguez-Henriquez, Peter Schwabe, Embedded Cryptography 2, January 2025
Shih, Arthur Chun-Chieh (施純傑)
Yu-Wei Tsay, Chia-Ying Wu, Wei-Hsin Chen , Chien-Chang Chen, Arthur Chun-Chieh Shih, Leveraging 2D Deep Learning for Fast and Memory-Efficent Neuron Detection in Large-Scale Calcium Imaging Videos, The 30th International Conference on Technologies and Applications of Artificial Intelligence, December 2025
Su, Li (蘇黎)
Yu Sugimoto, Jun-You Wang, Li Su, Eita Nakamura, Singing MIDI Transcription with Music Language Models: Formulation and Comparison, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), October 2025
Aneeka Azmat, Li Su, Cheng-Hsin Hsu, Quality Assessment of DNN-Based Algorithms for Music Boundary Detection, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), October 2025
Zih-Syuan Lin, Jun-You Wang, Li Su , A Comparative Study of Statistical Features and Deep Learning for Orchestral Texture Classification, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), October 2025
Jun-You Wang, Li Su, Improving BERT for symbolic music understanding using token denoising and pianoroll prediction, International Society for Music Information Retrieval Conference (ISMIR), September 2025
Jun-You Wang, Yu-Chia Kuo, Li Su, Improving Motif Discovery of Symbolic Polyphonic Music with Motif Note Identification, September 2025
Ting-Kang Wang, Yueh-Po Peng, Li Su, Vincent K.M. Cheung, Is Transfer Learning Necessary for Violin Transcription?, Late-Breaking/Demo Session of the International Society for Music Information Retrieval (ISMIR LBD), September 2025
Jin-Shiang Hu, Bo-Yuan Cheng, Li Su, An Optical Music Recognition Tool for String Quartets, Late-Breaking/Demo Session of the International Society for Music Information Retrieval (ISMIR LBD), September 2025
Tzu-Hung Huang, Yun-En Tsai, Chih-Wei Wu, I-Chieh Wei, Li Su, Yun-Ning Hung, Timed text extraction from Taiwanese kua-á-hì TV series, Late-Breaking/Demo Session of the International Society for Music Information Retrieval (ISMIR LBD), September 2025
Tsai, Huai-Kuang (蔡懷寬)
Yu-Hsin Chen, Chien-Fu Liu, Jun-Yi Leu*, and Huai-Kuang Tsai* , Complete end-to-end learning from protein feature representation to protein interactome inference, November 2025
Tsai, Meng-Tsung (蔡孟宗)
Waldo Gálvez, Mayank Goswami, Arturo Merino, GiBeom Park, and Meng-Tsung Tsai, Computing Diverse and Nice Triangulations, the 25th International Symposium on Fundamentals of Computation Theory (FCT), September 2025
Pin-Hsian Lee, Meng-Tsung Tsai, and Hung-Lung Wang, On the Complexity of Finding 1-Center Spanning Trees, the 19th International Symposium on Algorithms and Data Structures (WADS), August 2025
Ho-Lin Chen, Peng-Ting Lin, and Meng-Tsung Tsai, Parameterized Streaming Algorithms for Topological Sorting, the 19th International Symposium on Algorithms and Data Structures (WADS), August 2025
Wing-Kai Hon, Meng-Tsung Tsai, Ching-Yu Yang, Supereulerian Testing on Semi-Eulerian Graphs, the 14th International Conference on Algorithms and Complexity (CIAC), June 2025
Wang, Bow-Yaw (王柏堯)
Chun-Ming Chiu, Bo-Yin Yang, Bow-Yaw Wang, A New Trick for Polynomial Multiplication A verified CRT polymul utilizing a monomial factor, December 2025
José Bacelar Almeida, Manuel Barbosa, Gilles Barthe, Lionel Blatter, Gustavo Xavier Delerue Marinho Alves, João Diogo Duarte, Benjamin Grégoire, Tiago Oliveira, Miguel Quaresma, Pierre-Yves Strub, Ming-Hsien Tsai, Bow-Yaw Wang, Bo-Yin Yang, Jazzline: Composable CryptoLine Functional Correctness Proofs for Jasmin Programs, ACMCCS, October 2025
C.-M. Chiu, J. Liu, X. Shi, Ming-Hsien Tsai, Bow-Yaw Wang and B.-Y. Yang, Algebraic Linear Analysis for Number Theoretic Transform in Lattice-Based Cryptography,, September 2025
Wang, Chien Yao (王建堯)
Hung-Shuo Chang, Chien-Yao Wang, Richard Robert Wang, Gene Chou, and Hong-Yuan Mark Liao, Generalist YOLO: Towards Real-Time End-to-End Multi-Task Visual Language Models, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), March 2025
Wang, Hsin-Min (王新民)
Ammarah Hashmi, Sahibzada Adil Shahzad, Chia-Wen Lin, Yu Tsao, and Hsin-Min Wang, AVTENet: A Human-Cognition-Inspired Audio-Visual Transformer-Based Ensemble Network for Video Deepfake Detection, December 2025, arXiv:2310.13103
Kuan-Tang Huang, Li-Wei Chen, Hung-Shin Lee, Berlin Chen, and Hsin-Min Wang, Revealing the Role of Audio Channels in ASR Performance Degradation, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2025), December 2025
Chien-Chun Wang, Kuan-Tang Huang, Cheng-Yeh Yang, Hung-Shin Lee, Hsin-Min Wang, and Berlin Chen, QAMRO: Quality-aware Adaptive Margin Ranking Optimization for Human-aligned Assessment of Audio Generation Systems, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2025), December 2025
Dyah A. M. G. Wisnu, Ryandhimas E. Zezario, Stefano Rini, Hsin-Min Wang, and Yu Tsao, Improving Perceptual Audio Aesthetic Assessment via Triplet Loss and Self-Supervised Embeddings, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2025), December 2025
Wenze Ren, Yi-Cheng Lin, Wen-Chin Huang, Ryandhimas E. Zezario, Szu-Wei Fu, Sung-Feng Huang, Erica Cooper, Haibin Wu, Hung-Yu Wei, Hsin-Min Wang, Hung-yi Lee, Yu Tsao, HighRateMOS: Sampling-Rate Aware Modeling for Speech Quality Assessment, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2025), December 2025
Sahibzada Adil Shahzad, Ammarah Hashmi, Yan-Tsung Peng, Yu Tsao, and Hsin-Min Wang, AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Deepfake Detection of Frontal Face Videos, December 2025, arXiv: 2311.02733
Devin Chang, Ming-Chi Yen, Hsin-Te Hwang, Fo-Rui Li, Ching-Feng Liu, Yu Tsao, Hsin-Min Wang, Two-stage Voice Conversion for Dysarthric Speech Reconstruction with Speaker Identity Preservation, The 30th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2025), December 2025
Yao-Fei Cheng, Li-Wei Chen, Hung-Shin Lee and Hsin-Min Wang, Exploring the Impact of Data Quantity on ASR in Extremely Low-resource Languages, Oriental COCOSDA 2025: International Conference on Speech Databases and Assessments, November 2025
Chih-Hsi Chen, Pei-Jun Liao, Chia-Hua Wu, Pang Cheng Wu and Hsin-Min Wang, The SLAM Hakka ASR System for Formosa Speech Recognition Challenge 2025, The 37th ROCLING Conference on Computational Linguistics and Speech Processing (ROCLING2025), November 2025
Fo-Rui Li, Hsin-Te Hwang, Ming-Chi Yen, Men-Tung Lo, Yu Tsao, and Hsin-Min Wang, Improving Exemplar-Based Electrolaryngeal Speech Voice Conversion via Robust Content Representations, APSIPA Annual Summit and Conference (APSIPA ASC 2025), October 2025
Cheng-Yeh Yang, Kuan-Tang Huang, Chien-Chun Wang, Hung-Shin Lee, Hsin-Min Wang, and Berlin Chen, DRASP: A Dual-Resolution Attentive Statistics Pooling Framework for Automatic MOS Prediction, APSIPA Annual Summit and Conference (APSIPA ASC 2025), October 2025
Ryandhimas E. Zezario, Dyah A.M.G. Wisnu, Hsin-Min Wang, and Yu Tsao, Speech Intelligibility Assessment with Uncertainty-Aware Whisper Embeddings and sLSTM, APSIPA Annual Summit and Conference (APSIPA ASC 2025), October 2025
Yu-Chien Lin, Chia-Hua Wu, Yu Tsao, and Hsin-Min Wang, Improving Speech Translation through Data Augmentation with Data in Similar Languages, EUSIPCO2025, September 2025
Chia-Hua Wu, Wanying Ge, Xin Wang, Junichi Yamagishi, Yu Tsao, and Hsin-Min Wang, A Comparative Study on Proactive and Passive Detection of Deepfake Speech, Interspeech2025, August 2025
Shafique Ahmed, Ryandhimas E. Zezario, Nasir Saleem, Amir Hussain, Hsin-Min Wang, and Yu Tsao, A Study on Speech Assessment with Visual Cues, Interspeech2025, August 2025
Ryandhimas E. Zezario, Sabato M. Siniscalchi, Fei Chen, Hsin-Min Wang, and Yu Tsao, Feature Importance across Domains for Improving Non-Intrusive Speech Intelligibility Prediction in Hearing Aids, Interspeech2025, August 2025
Ryandhimas E. Zezario, Szu-Wei Fu, Dyah A.M.G. Wisnu, Hsin-Min Wang, Yu Tsao, Non-Intrusive Multi-Branch Speech Intelligibility Prediction using Multi-Stage Training, The 6th Clarity Workshop on Improving Speech-in-Noise for Hearing Devices (Clarity-2025), August 2025
Ming-Chi Yen, Chia-Hua Wu, Shu-Wei Tsai, Jyh-Shing Roger Jang, Yu Tsao, Amir Hussain, and Hsin-Min Wang, Mandarin Electrolaryngeal Speech Voice Conversion with Speech Encoder Loss Learning and Seq2seq Modeling, July 2025
Ryandhimas E. Zezario, Dyah A.M.G. Wisnu, Hsin-Min Wang, and Yu Tsao, A Study on Zero-Shot Non-Intrusive Speech Intelligibility for Hearing Aids Using Large Language Models, ICCE-TW 2025, July 2025
Sahibzada Adil Shahzad, Ammarah Hashmi, Yan-Tsung Peng, Yu Tsao, and Hsin-Min Wang, How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception, June 2025, arXiv:2411.09266
Chien-Chun Wang, Li-Wei Chen, Cheng-Kang Chou, Hung-Shin Lee, Berlin Chen, and Hsin-Min Wang, Channel-Aware Domain-Adaptive Generative Adversarial Network for Robust Speech Recognition, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2025), April 2025
Ryandhimas E. Zezario, Sabato M. Siniscalchi, Hsin-Min Wang, and Yu Tsao, A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2025), April 2025
Wenze Ren, Haibin Wu, Yi-Cheng Lin, Xuanjun Chen, Rong Chao, Kuo-Hsuan Hung, You-Jin Li, Wen-Yuan Ting, Hsin-Min Wang, and Yu Tsao, Leveraging Joint Spectral and Spatial Learning with MAMBA for Multichannel Speech Enhancement, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2025), April 2025
Jie Lin, I Chiu, Kuan-Chen Wang, Kai-Chun Liu, Hsin-Min Wang, Ping-Cheng Yeh, and Yu Tsao, MSECG: Incorporating Mamba for Robust and Efficient ECG Super-Resolution, IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP2025), April 2025
Dyah A. M. G. Wisnu, Stefano Rini, Ryandhimas E. Zezario, Hsin-Min Wang, and Yu Tsao, HAAQI-Net: A Non-intrusive Neural Music Audio Quality Assessment Model for Hearing Aids, February 2025, arXiv:2401.01145
Wu, Jan-Jan (吳真貞)
Ming-Yen Chiang, Tzu-Hsien Tsai, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu, Optimizing Pipeline Parallelism for Deep Learning with Activation Checkpointing, The International Symposium on Computing and Networking, November 2025
Cai-Feng Lin, Ding-Yong Hong, Tzu-Hsien Tsai, Pangfeng Liu, Jan-Jan Wu, A Grouping Algorithm for Training Tree-Shaped Models on Multiple GPUs with High Efficiency, IEEE International Conference on Computers, Software, and Applications (COMPSAC), July 2025
Ding-Yong Hong, Tzu-Hsien Tsai, Ning Wang, Pangfeng Liu, Jan-Jan Wu, GPU Memory Usage Optimization for Backward Propagation in Deep Network Training, May 2025
Bing-Jou Wu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu, Execution Time Optimization for Pipeline Deep Network Training on Multiple GPUs, Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), March 2025
Wu, Ti-Rong (吳廸融)
Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh, Kuo-Hao Ho, Po-Wei Huang, Ti-Rong Wu, I-Chen Wu, Learning Human-Like RL Agents Through Trajectory Optimization with Action Quantization, the Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2025, (Acceptance rate ≈ 24.5%)
Chun-Jui Wang, Jian-Ting Guo, Hung Guei, Chung-Chin Shih, Ti-Rong Wu, I-Chen Wu, Evaluating Game Difficulty in Tetris Block Puzzle, the 30th Game Programming Workshop (GPW-25), November 2025
Yan-Ru Ju, Tai-Lin Wu, Chung-Chin Shih, Ti-Rong Wu, Bridging Local and Global Knowledge via Transformer in Board Games, the thirty-fourth International Joint Conference on Artificial Intelligence (IJCAI), August 2025, (Acceptance rate ≈ 19.3%)
Weichen Liao, Ti-Rong Wu, I-Chen Wu, Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning, the twenty-fourth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2025, (Full paper; Acceptance rate ≈ 24.5%)
Yun-Jui Tsai, Ting Han Wei, Chi-Huang Lin, Chung-Chin Shih, Hung Guei, I-Chen Wu, Ti-Rong Wu, Solving 7x7 Killall-Go with Seki Database, Computers and Games (CG), April 2025
Po-Wei Huang, Pei-Chiun Peng, Hung Guei, Ti-Rong Wu, OptionZero: Planning with Learned Options, the Thirteenth International Conference on Learning Representations (ICLR), April 2025, (Oral ≈ 1.8%; Acceptance rate ≈ 32.1%)
Chun Jung Chen, Chung-Chin Shih, Ti-Rong Wu, Strength Estimation and Human-Like Strength Adjustment in Games, the Thirteenth International Conference on Learning Representations (ICLR), April 2025, (Acceptance rate ≈ 32.1%)
Yang, Bo-Yin (楊柏因)
Chun-Ming Chiu, Bo-Yin Yang, Bow-Yaw Wang, A New Trick for Polynomial Multiplication A verified CRT polymul utilizing a monomial factor, December 2025
José Bacelar Almeida, Manuel Barbosa, Gilles Barthe, Lionel Blatter, Gustavo Xavier Delerue Marinho Alves, João Diogo Duarte, Benjamin Grégoire, Tiago Oliveira, Miguel Quaresma, Pierre-Yves Strub, Ming-Hsien Tsai, Bow-Yaw Wang, Bo-Yin Yang, Jazzline: Composable CryptoLine Functional Correctness Proofs for Jasmin Programs, ACMCCS, October 2025
Ziyu Zhao, Jintai Ding, Bo-Yin Yang, Sieving with Streaming Memory Access, September 2025
C.-M. Chiu, J. Liu, X. Shi, Ming-Hsien Tsai, Bow-Yaw Wang and B.-Y. Yang, Algebraic Linear Analysis for Number Theoretic Transform in Lattice-Based Cryptography,, September 2025
D. J. Bernstein, T. Lange, J. Levin, and B.-Y. Yang, PQConnect: Automated Post-Quantum End-to-End Tunnels, NDSS 2025, February 2025
Yang, De-Nian (楊得年)
C.-Y. Yeh, H.-W. Chen, D.-N. Yang, W.-C. Lee, P. S. Yu, and M.-S. Chen, Equilibrium-Based NFT Marketplace Recommendation for NFTs with Breeding, IEEE International Conference on Data Mining (IEEE ICDM), December 2025, (accepting rate = 13%)
Y.-W. Teng, D.-N. Yang, Y. Shi, G. -S. Lee, W. -C Lee, P. S. Yu, and M.-S. Chen, Breeding-aware Revenue Maximization for NFT Viral Marketing on Social Networks, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 2025, (accepting rate = 18%)
C.-W. Lin, D.-N. Yang, and W. Liao, Mobile Tile-based 360° Video Multicast with Cybersickness Alleviation, April 2025
S.-H. Chiu, Y.-W. Teng, D.-N. Yang, and M.-S. Chen, Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities, International World Wide Web Conference (WWW, ACM Web Conference), April 2025, (accepting rate = 19%)
C.-H. Lee, D.-N. Yang, G.-S. Lee, C.-H. Wang, and W. Liao, Joint View Selection, Multigroup Multicast Beamforming, and DIBR for RIS-Aided Multi-View Videos, February 2025
Yeh, Mi-Yen (葉彌妍)
Zee Hen Tang and Mi-Yen Yeh, Few-shot Unlearning for Large Language Models through Pretrained Soft Prompts, The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2025), June 2025
Yu-Ang Lee, Ching-Yun Ko, Tejaswini Pedapati, I-Hsin Chung, Mi-Yen Yeh, Pin-Yu Chen, STAR: Spectral Truncation and Rescale for Model Merging, 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL-2025), April 2025
