Correlation-aware machine selection for M2M data gathering in cellular networks. - Hojin Song; Hung-Yun Hsieh; Yun-Da Tsai; Wan Choi 001 (PIMRC, 2015)

Joint Optimization of Clustering and Scheduling for Machine-to-Machine Communications in Cellular Wireless Networks. - Yun-Da Tsai; Chang-Yu Song; Hung-Yun Hsieh (VTC Spring, 2015)

IMTKU Question Answering System for World History Exams at NTCIR-12 QA Lab2. - Min-Yuh Day; Cheng-Chia Tsai; Wei-Chun Chuang; Jin-Kun Lin; Hsiu-Yuan Chang; Tzu-Jui Sun; Yuan-Jie Tsai; Yi-Heng Chiang; Cheng-Zhi Han; Wei-Ming Chen; Yun-Da Tsai; Yi-Jing Lin; et al. (NTCIR, 2016)

Minimizing Radio Resource Usage for Machine-to-Machine Communications through Data-Centric Clustering. - Hung-Yun Hsieh; Tzu-Chuan Juan; Yun-Da Tsai; Hong-Chen Huang (IEEE Trans. Mob. Comput., 2016)

Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus. - Yun-Da Tsai; Cheng-Kuan Chen; Shou-De Lin (CIKM, 2021)

Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network. - Yun-Da Tsai; Shou-De Lin (CoRR, 2022)

Differential Good Arm Identification. - Yun-Da Tsai; Tzu-Hsien Tsai; Shou-De Lin (CoRR, 2023)

AutoML-GPT: Large Language Model for AutoML. - Yun-Da Tsai; Yu-Che Tsai; Bo-Wei Huang; Chun-Pai Yang; Shou-De Lin (CoRR, 2023)

Towards Optimizing with Large Language Models. - Pei-Fu Guo; Ying-Hsuan Chen; Yun-Da Tsai; Shou-De Lin (CoRR, 2023)

PSGText: Stroke-Guided Scene Text Editing with PSP Module. - Felix Liawi; Yun-Da Tsai; Guan-Lun Lu; Shou-De Lin (CoRR, 2023)

RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Models. - Yun-Da Tsai; Mingjie Liu; Haoxing Ren (CoRR, 2023)

Toward More Generalized Malicious URL Detection Models. - Yun-Da Tsai; Cayon Liow; Yin Sheng Siang; Shou-De Lin (AAAI, 2024)

RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Model. - Yunda Tsai; Mingjie Liu; Haoxing Ren (DAC, 2024)

Towards Optimizing with Large Language Model. - Pei-Fu Guo; Ying-Hsuan Chen; Yun-Da Tsai; Shou-De Lin (KiL@KDD, 2024)

Handling Concept Drift in Non-stationary Bandit Through Predicting Future Rewards. - Yun-Da Tsai; Shou-De Lin (PAKDD (Workshops), 2024)

lil'HDoC: An Algorithm for Good Arm Identification Under Small Threshold Gap. - Tzu-Hsien Tsai; Yun-Da Tsai; Shou-De Lin (PAKDD (5), 2024)

Text-centric Alignment for Multi-Modality Learning. - Yun-Da Tsai; Ting-Yu Yen; Pei-Fu Guo; Zhe-Yan Li; Shou-De Lin (CoRR, 2024)

Enhance the Robustness of Text-Centric Multimodal Alignments. - Ting-Yu Yen; Yun-Da Tsai; Keng-Te Liao; Shou-De Lin (CoRR, 2024)

Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning. - Yun-Da Tsai; Mingjie Liu; Haoxing Ren (CoRR, 2024)

Benchmarking Large Language Model Uncertainty for Prompt Optimization. - Pei-Fu Guo; Yun-Da Tsai; Shou-De Lin (CoRR, 2024)

Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting. - Yun-Da Tsai; Ting-Yu Yen; Keng-Te Liao; Shou-De Lin (AAAI, 2025)

CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair. - Mingjie Liu; Yun-Da Tsai; Wenfei Zhou; Haoxing Ren (ICLR, 2025)

Differentiable Good Arm Identification. - Yun-Da Tsai; Tzu-Hsien Tsai; Shou-De Lin (PAKDD (1), 2025)

LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem. - Yun-Ang Wu; Yun-Da Tsai; Shou-De Lin (PAKDD (1), 2025)

Uncertainty Profiles for LLMs: Uncertainty Source Decomposition and Adaptive Model-Metric Selection. - Pei-Fu Guo; Yun-Da Tsai; Shou-De Lin (CoRR, 2025)

Generalizing Large Language Model Usability Across Resource-Constrained. - Yun-Da Tsai (CoRR, 2025)

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation. - Chenhui Deng; Yun-Da Tsai; Guan-Ting Liu; Zhongzhi Yu; Haoxing Ren (CoRR, 2025)

Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification. - Nathaniel Ross Pinckney; Chenhui Deng; Chia-Tung Ho; Yun-Da Tsai; Mingjie Liu; Wenfei Zhou; Brucek Khailany; Haoxing Ren (CoRR, 2025)