Papers (IJ: International Journal, DJ: Domestic Journal, IC: International Conference, IW: International Workshop)
See Google Scholar and DBLP for the complete list
Papers (IJ: International Journal, DJ: Domestic Journal, IC: International Conference, IW: International Workshop)
See Google Scholar and DBLP for the complete list
2024 (Total: 10 - IJ: 0, DJ: 0, IC: 10, IW: 0)
[IC-18] Wei-Yao Wang*, Xiusi Chen*, Ziniu Hu, David Reynoso, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang, "Professional Basketball Player Behavior Synthesis via Planning with Diffusion", CIKM'24 (acceptance rate: 33.3%), 2024.
[IC-17] Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng, Tsi-Ui, Ik, "Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset", IJCAI'24 Demo, 2024.
[IC-16] Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng, "Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion", ECML-PKDD'24, 2024.
[IC-15] Ching Chang, Chiao-Tung Chan, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen, "TimeDRL: Disentangled Representation Learning for Multivariate Time-Series", ICDE'24, 2024.
[IC-14] Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng, "Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal", PAKDD'24, 2024.
[IC-13] Wei-Yao Wang, Yu-Chieh Chang, Wen-Chih Peng, ”Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection”, EACL'24 (acceptance rate: 20.3%), 2024.
[IC-12] Zheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng, "Root Cause Analysis In Microservice Using Neural Granger Causal Discovery", AAAI'24 (acceptance rate: 23.75%), 2024.
[IC-11] Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng, "SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter", AAAI'24 (acceptance rate: 23.75%), 2024.
[IC-10] Kuang-Da Wang, Yu-Tse Chen, Yu-Heng Lin, Wei-Yao Wang, Wen-Chih Peng, "The CoachAI Badminton Environment: Bridging the Gap Between a Reinforcement Learning Environment and Real-World Badminton Games", AAAI'24 Demo, 2024.
[IC-09] Kuang-Da Wang, Wei-Yao Wang, Yu-Tse Chen, Yu-Heng Lin, Wen-Chih Peng, "The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract)", AAAI'24, 2024.
2023 (Total: 10 - IJ: 0, DJ: 0, IC: 5, IW: 5)
[IC-08] Yu-Chien Tang, Wei-Yao Wang, An-Zi Yen, Wen-Chih Peng, "RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training", EMNLP'23 Findings, 2023.
[IC-07] Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng, "DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal", CIKM'23 (Acceptance rate: 32%), 2023.
[IW-12] Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng, "Generating Turn-Based Player Behavior via Experience from Demonstrations", ICML'23 SPIGM Workshop, 2023.
[IW-11] Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng, "ShuttleSet22: Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset", IJCAI'23 IT4PSS Workshop, 2023.
[IW-10] Kuang-Da Wang, Yu-Tse Chen, Yu-Heng Lin, Wei-Yao Wang, Wen-Chih Peng, "The CoachAI Badminton Environment: Improving Badminton Player Tactics with A Novel Reinforcement Learning Environment", KDD DSAI4Sports Workshop, 2023.
[IC-06] Wei-Yao Wang, Yung-Chang Huang, Tsi-Ui Ik, Wen-Chih Peng, "ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis", KDD'23 (Acceptance rate: 25%), 2023. [pdf]
[IC-05] Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng, "Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton", AAAI'23 (Acceptance rate: 19%), 2023. [pdf] [code]
[IC-04] Li-Chun Huang, Nai-Zen Hseuh, Yen-Che Chien, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng, "A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)", AAAI'23, 2023. [pdf] [code]
[IW-09] Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng, "Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal", AAAI'23 MUFin Workshop (Best Paper Award), 2023. [pdf]
[IW-08] Wei-Wei Du, Hong-Wei Wu, Wei-Yao Wang, Wen-Chih Peng, "Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification", AAAI'23 De-Factify Workshop, 2023. [pdf] [code]
2022 (Total: 10 - IJ: 1, DJ: 0, IC: 2, IW: 7)
[IC-03] Wei-Yao Wang, "Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches", CIKM'22 [pdf].
[IW-07] Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng, "Track2Vec: Fairness Music Recommendation with a GPU-Free Customizable-Driven Framework", CIKM'22 EvalRS Workshop [pdf].
[IW-06] Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng, "RecFormer: Personalized Temporal-Aware Transformer for Fair Music Recommendation", CIKM'22 EvalRS Workshop [pdf] [code].
[IJ-01] Wei-Yao Wang, Teng-Fong Chan, Wen-Chih Peng, Hui-Kuo Yang, Chih-Chuan Wang, and Yao-Chung Fan, "How Is the Stroke? Inferring Shot Influence in Badminton Matches via Long Short-Term Dependencies", ACM Transactions on Intelligent Systems and Technology (TIST), 2022 [pdf].
[IW-05] Wei-Yao Wang*, Yu-Chien Tang*, Wei-Wei Du*, Wen-Chih Peng, "NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media", ACL'22 LT-EDI Workshop (*indicates equal contribution) [pdf] [code].
[IW-04] Lun-Wei Ku, Cheng-Te Li, Yu-Che Tsai, Wei-Yao Wang, "Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media (SocialNLP 2022)", NAACL'22 SocialNLP Workshop [pdf].
[IW-03] Lun-Wei Ku, Cheng-Te Li, Yu-Che Tsai, Wei-Yao Wang, "SocialNLP’22: 10th International Workshop on Natural Language Processing for Social Media", WWW'22 The 10th International Workshop on Natural Language Processing for Social Media [pdf].
[IW-02] Yu-Wun Tseng, Hui-Kuo Yang, Wei-Yao Wang, Wen-Chih Peng, "KAHAN: Knowledge-Aware Hierarchical Attention Network for Fake News detection on Social Media", WWW'22 The 10th International Workshop on Natural Language Processing for Social Media [pdf] [code].
[IW-01] Wei-Yao Wang, Wen-Chih Peng, "Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification", AAAI'22 De-Factify Workshop: First Workshop on Multimodal Fact-Checking and Hate Speech Detection (Best Paper Award). [pdf] [code]
[IC-02] Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng, "ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton", AAAI'22 (Acceptance rate: 15%), 2022. [pdf] [code]
2020 (Total: 1 - IJ: 0, DJ: 1, IC: 0, IW: 0)