A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract). - Li-Chun Huang; Nai-Zen Hseuh; Yen-Che Chien; Wei-Yao Wang; Kuang-Da Wang; Wen-Chih Peng (AAAI, 2023)

Enhancing Badminton Player Performance via a Closed-Loop AI Approach: Imitation, Simulation, Optimization, and Execution. - Kuang-Da Wang (CIKM, 2023)

NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis. - Yu-Chien Tang; Kuang-Da Wang; Ting-Yun Ou; Wen-Chih Peng (DE-FACTIFY@AAAI, 2023)

Root Cause Analysis in Microservice Using Neural Granger Causal Discovery. - Cheng-Ming Lin; Ching Chang 001; Wei-Yao Wang; Kuang-Da Wang; Wen-Chih Peng (AAAI, 2024)

The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games. - Kuang-Da Wang; Yu-Tse Chen; Yu-Heng Lin; Wei-Yao Wang; Wen-Chih Peng (AAAI, 2024)

The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract). - Kuang-Da Wang; Wei-Yao Wang; Yu-Tse Chen; Yu-Heng Lin; Wen-Chih Peng (AAAI, 2024)

Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion. - Kuang-Da Wang; Wei-Yao Wang; Ping-Chun Hsieh; Wen-Chih Peng (ECML/PKDD (10), 2024)

BADGE: BADminton report Generation and Evaluation with LLM. - Shang-Hsuan Chiang; Lin-Wei Chao; Kuang-Da Wang; Chih-Chuan Wang; Wen-Chih Peng (CoRR, 2024)

APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning. - Hong-Wei Wu; Wei-Yao Wang; Kuang-Da Wang; Wen-Chih Peng (AAAI, 2025)

RallyDiffuser: A Representation-Guided Diffusion Model Framework for Strategic Planning in Badminton. - Bing-Zhi Ke; Kuang-Da Wang; Wen-Chih Peng (AAMAS, 2025)

DDOT: A Derivative-Directed Dual-Decoder Ordinary Differential Equation Transformer for Dynamic System Modeling. - Yang Chang; Kuang-Da Wang; Ping-Chun Hsieh; Cheng-Kuan Lin; Wen-Chih Peng (PAKDD (3), 2025)

Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval. - Yong-En Tian; Yu-Chien Tang; Kuang-Da Wang; An-Zi Yen; Wen-Chih Peng (SIGIR, 2025)

Plan2Align: Predictive Planning Based Test-Time Preference Alignment in Paragraph-Level Machine Translation. - Kuang-Da Wang; Teng-Ruei Chen; Yu-Heng Hung; Shuoyang Ding; Yueh-Hua Wu; Yu-Chiang Frank Wang; Chao-Han Huck Yang; Wen-Chih Peng; Ping-Chun Hsieh (CoRR, 2025)

Mixture Experts with Test-Time Self-Supervised Aggregation for Tabular Imbalanced Regression. - Yung-Chien Wang; Kuang-Da Wang; Wei-Yao Wang; Wen-Chih Peng (CoRR, 2025)