EmotionGIF-Yankee: A Sentiment Classifier with Robust Model Based Ensemble Methods. - Wei-Yao Wang; Kai-Shiang Chang; Yu-Chien Tang (CoRR, 2020)

Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches. - Wei-Yao Wang; Teng-Fong Chan; Hui-Kuo Yang; Chih-Chuan Wang; Yao-Chung Fan; Wen-Chih Peng (ICDM, 2021)

Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification (short paper). - Wei-Yao Wang; Wen-Chih Peng (DE-FACTIFY@AAAI, 2022)

ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton. - Wei-Yao Wang; Hong-Han Shuai; Kai-Shiang Chang; Wen-Chih Peng (AAAI, 2022)

Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework. - Wei-Wei Du; Wei-Yao Wang; Wen-Chih Peng (CIKM Workshops, 2022)

Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches. - Wei-Yao Wang (CIKM, 2022)

RecFormer: personalized temporal-aware transformer for fair music recommendation. - Wei-Yao Wang; Wei-Wei Du; Wen-Chih Peng (CIKM Workshops, 2022)

NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media. - Wei-Yao Wang; Yu-Chien Tang; Wei-Wei Du; Wen-Chih Peng (LT-EDI, 2022)

SocialNLP'22: 10th International Workshop on Natural Language Processing for Social Media. - Cheng-Te Li; Lun-Wei Ku; Yu-Che Tsai; Wei-Yao Wang (WWW (Companion Volume), 2022)

KAHAN: Knowledge-Aware Hierarchical Attention Network for Fake News detection on Social Media. - Yu-Wun Tseng; Hui-Kuo Yang; Wei-Yao Wang; Wen-Chih Peng (WWW (Companion Volume), 2022)

Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification. - Wei-Yao Wang; Wen-Chih Peng (CoRR, 2022)

Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton. - Kai-Shiang Chang; Wei-Yao Wang; Wen-Chih Peng (AAAI, 2023)

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)

DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal. - Wei-Wei Du; Wei-Yao Wang; Wen-Chih Peng (CIKM, 2023)

Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification. - Wei-Wei Du; Hong-Wei Wu; Wei-Yao Wang; Wen-Chih Peng (DE-FACTIFY@AAAI, 2023)

RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training. - Yu-Chien Tang; Wei-Yao Wang; An-Zi Yen; Wen-Chih Peng (EMNLP (Findings), 2023)

eVTOL, UAM, and AAM: Brief Development History and Implementation Outlook of the United States. - Kuen-Yu Tsai; Guang-Yun Meng; Tung-Ling Wu; Ming-Hui Zheng; Wei-Yao Wang; Chih-Ming Kung; Yen-Chuan Chen; Chi-Fa Huang; Tsang-Chieh Hsieh; Hsin-Sheng Hsu; Huei-Der Lin; Jing-Xiang Shi (ICEBE, 2023)

ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis. - Wei-Yao Wang; Yung-Chang Huang; Tsi-Ui Ik; Wen-Chih Peng (KDD, 2023)

Professional Basketball Player Behavior Synthesis via Planning with Diffusion. - Xiusi Chen; Wei-Yao Wang; Ziniu Hu; Curtis Chou; Lam Hoang; Kun Jin; Mingyan Liu; P. Jeffrey Brantingham; Wei Wang 010 (CoRR, 2023)

ShuttleSet22: Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset. - Wei-Yao Wang; Wei-Wei Du; Wen-Chih Peng (CoRR, 2023)

ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. - Wei-Yao Wang; Wen-Chih Peng; Wei Wang 010; Philip S. Yu (CoRR, 2023)

How Is the Stroke? Inferring Shot Influence in Badminton Matches via Long Short-term Dependencies. - Wei-Yao Wang; Teng-Fong Chan; Wen-Chih Peng; Hui-Kuo Yang; Chih-Chuan Wang; Yao-Chung Fan (ACM Trans. Intell. Syst. Technol., 2023)

SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter. - Ying-Ying Chang; Wei-Yao Wang; Wen-Chih Peng (AAAI, 2024)

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)

PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion. - Xiusi Chen; Wei-Yao Wang; Ziniu Hu; David Reynoso; Kun Jin; Mingyan Liu; P. Jeffrey Brantingham; Wei Wang 010 (CIKM, 2024)

Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection. - Wei-Yao Wang; Yu-Chieh Chang; Wen-Chih Peng (EACL (1), 2024)

TimeDRL: Disentangled Representation Learning for Multivariate Time-Series. - Ching Chang 001; Chiao-Tung Chan; Wei-Yao Wang; Wen-Chih Peng; Tien-Fu Chen (ICDE, 2024)

Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset. - Wei-Yao Wang; Wei-Wei Du; Wen-Chih Peng; Tsi-Ui Ik (IJCAI, 2024)

Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal. - Chih-Chia Li; Wei-Yao Wang; Wei-Wei Du; Wen-Chih Peng (PKDD (4), 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)

A Survey on Self-Supervised Learning for Non-Sequential Tabular Data. - Wei-Yao Wang; Wei-Wei Du; Derek Xu; Wei Wang 010; 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)

ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. - Wei-Yao Wang; Wen-Chih Peng; Wei Wang 010 (PAKDD (6), 2025)

A survey on self-supervised learning for non-sequential tabular data. - Wei-Yao Wang; Wei-Wei Du; Derek Xu; Wei Wang; Wen-Chih Peng (Mach. Learn., 2025)

Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems. - Zhao Wang 009; Sota Moriyama; Wei-Yao Wang; Briti Gangopadhyay; Shingo Takamatsu (CoRR, 2025)

Seeing is Understanding: Unlocking Causal Attention into Modality-Mutual Attention for Multimodal LLMs. - Wei-Yao Wang; Zhao Wang 009; Helen Suzuki; Yoshiyuki Kobayashi (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)

LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters. - Ching Chang 001; Wei-Yao Wang; Wen-Chih Peng; Tien-Fu Chen (ACM Trans. Intell. Syst. Technol., 2025)