Wei-Yao Wang

Orcid: 0000-0002-6551-1720

According to our database1, Wei-Yao Wang authored at least 36 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2025
A survey on self-supervised learning for non-sequential tabular data.
Mach. Learn., January, 2025

2024
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning.
CoRR, 2024

Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series.
CoRR, 2024

A Survey on Self-Supervised Learning for Non-Sequential Tabular Data.
CoRR, 2024

Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

TimeDRL: Disentangled Representation Learning for Multivariate Time-Series.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Root Cause Analysis in Microservice Using Neural Granger Causal Discovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
How Is the Stroke? Inferring Shot Influence in Badminton Matches via Long Short-term Dependencies.
ACM Trans. Intell. Syst. Technol., February, 2023

ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton.
CoRR, 2023

ShuttleSet22: Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset.
CoRR, 2023

Professional Basketball Player Behavior Synthesis via Planning with Diffusion.
CoRR, 2023

ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

eVTOL, UAM, and AAM: Brief Development History and Implementation Outlook of the United States.
Proceedings of the IEEE International Conference on e-Business Engineering, 2023

RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification.
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023

DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification.
CoRR, 2022

KAHAN: Knowledge-Aware Hierarchical Attention Network for Fake News detection on Social Media.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

SocialNLP'22: 10th International Workshop on Natural Language Processing for Social Media.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media.
Proceedings of the Second Workshop on Language Technology for Equality, 2022

RecFormer: personalized temporal-aware transformer for fair music recommendation.
Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework.
Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification (short paper).
Proceedings of the Workshop on Multi-Modal Fake News and Hate-Speech Detection (DE-FACTIFY 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI 2022), 2022

2021
Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
EmotionGIF-Yankee: A Sentiment Classifier with Robust Model Based Ensemble Methods.
CoRR, 2020


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