Kuang-Da Wang

27 papers A* 7A 3Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A conf
Adapting to Evolving Data: Test-Time Expert Aggregation for Imbalanced Tabular Regression.
WSDM
Yung-Chien Wang, Kuang-Da Wang, Wei-Yao Wang, Wen-Chih Peng
2026 J jnl
Visual Prompt Discovery via Semantic Exploration.
CoRR
Jaechang Kim, Yotaro Shimose, Zhao Wang, Kuang-Da Wang, Jungseul Ok, Shingo Takamatsu
2025 A* conf
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning.
AAAI
Hong-Wei Wu, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng
2025 — conf
DDOT: A Derivative-Directed Dual-Decoder Ordinary Differential Equation Transformer for Dynamic System Modeling.
PAKDD (3)
Yang Chang, Kuang-Da Wang, Ping-Chun Hsieh, Cheng-Kuan Lin, Wen-Chih Peng
2025 J jnl
DDOT: A Derivative-directed Dual-decoder Ordinary Differential Equation Transformer for Dynamic System Modeling.
CoRR
Yang Chang, Kuang-Da Wang, Ping-Chun Hsieh, Cheng-Kuan Lin, Wen-Chih Peng
2025 A* conf
Extending Automatic Machine Translation Evaluation to Book-Length Documents.
EMNLP
Kuang-Da Wang, Shuoyang Ding, Chao-Han Huck Yang, Ping-Chun Hsieh, Wen-Chih Peng, Vitaly Lavrukhin, Boris Ginsburg
2025 J jnl
Extending Automatic Machine Translation Evaluation to Book-Length Documents.
CoRR
Kuang-Da Wang, Shuoyang Ding, Chao-Han Huck Yang, Ping-Chun Hsieh, Wen-Chih Peng, Vitaly Lavrukhin, Boris Ginsburg
2025 J jnl
Mixture Experts with Test-Time Self-Supervised Aggregation for Tabular Imbalanced Regression.
CoRR
Yung-Chien Wang, Kuang-Da Wang, Wei-Yao Wang, Wen-Chih Peng
2025 J jnl
NEWSAGENT: Benchmarking Multimodal Agents as Journalists with Real-World Newswriting Tasks.
CoRR
Yen-Che Chien, Kuang-Da Wang, Wei-Yao Wang, Wen-Chih Peng
2025 J jnl
Plan2Align: Predictive Planning Based Test-Time Preference Alignment in Paragraph-Level Machine Translation.
CoRR
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
2025 A conf
RallyDiffuser: A Representation-Guided Diffusion Model Framework for Strategic Planning in Badminton.
AAMAS
Bing-Zhi Ke, Kuang-Da Wang, Wen-Chih Peng
2025 A* conf
Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval.
SIGIR
Yong-En Tian, Yu-Chien Tang, Kuang-Da Wang, An-Zi Yen, Wen-Chih Peng
2025 J jnl
Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval.
CoRR
Yong-En Tian, Yu-Chien Tang, Kuang-Da Wang, An-Zi Yen, Wen-Chih Peng
2025 J jnl
WebGen-V Bench: Structured Representation for Enhancing Visual Design in LLM-based Web Generation and Evaluation.
CoRR
Kuang-Da Wang, Zhao Wang, Yotaro Shimose, Wei-Yao Wang, Shingo Takamatsu
2024 J jnl
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning.
CoRR
Hong-Wei Wu, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng
2024 J jnl
BADGE: BADminton report Generation and Evaluation with LLM.
CoRR
Shang-Hsuan Chiang, Lin-Wei Chao, Kuang-Da Wang, Chih-Chuan Wang, Wen-Chih Peng
2024 — conf
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion.
ECML/PKDD (10)
Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng
2024 J jnl
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion.
CoRR
Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng
2024 J jnl
Root Cause Analysis In Microservice Using Neural Granger Causal Discovery.
CoRR
Cheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng
2024 A* conf
Root Cause Analysis in Microservice Using Neural Granger Causal Discovery.
AAAI
Cheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng
2024 A* conf
The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract).
AAAI
Kuang-Da Wang, Wei-Yao Wang, Yu-Tse Chen, Yu-Heng Lin, Wen-Chih Peng
2024 A* conf
The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games.
AAAI
Kuang-Da Wang, Yu-Tse Chen, Yu-Heng Lin, Wei-Yao Wang, Wen-Chih Peng
2023 A* conf
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract).
AAAI
Li-Chun Huang, Nai-Zen Hseuh, Yen-Che Chien, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng
2023 A conf
Enhancing Badminton Player Performance via a Closed-Loop AI Approach: Imitation, Simulation, Optimization, and Execution.
CIKM
Kuang-Da Wang
2023 — conf
NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis.
DE-FACTIFY@AAAI
Yu-Chien Tang, Kuang-Da Wang, Ting-Yun Ou, Wen-Chih Peng
2023 J jnl
NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis.
CoRR
Yu-Chien Tang, Kuang-Da Wang, Ting-Yun Ou, Wen-Chih Peng
2022 J jnl
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract).
CoRR
Li-Chun Huang, Nai-Zen Hseuh, Yen-Che Chien, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng