activity
20202026
most citedTeam Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification

4 citations · 27 across the 34 of their papers we have counts for

collaborators
Showing 2023Show all

9 papers · 1 filter

cs.AI2023

ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton

Wei-Yao Wang, Wen-Chih Peng, Wei Wang +1

Agent forecasting systems have been explored to investigate agent patterns and improve decision-making in various domains, e.g., pedestrian predictions and marketing bidding. Badmi…

cs.SI2023

SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter

Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng

In the dynamic and rapidly evolving world of social media, detecting anomalous users has become a crucial task to address malicious activities such as misinformation and cyberbully…

cs.LG2023★ 2 cited

TimeDRL: Disentangled Representation Learning for Multivariate Time-Series

Ching Chang, Chiao-Tung Chan, Wei-Yao Wang +2

Multivariate time-series data in numerous real-world applications (e.g., healthcare and industry) are informative but challenging due to the lack of labels and high dimensionality.…

cs.CL2023★ 1 cited

RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training

Yu-Chien Tang, Wei-Yao Wang, An-Zi Yen +1

The dialogue systems in customer services have been developed with neural models to provide users with precise answers and round-the-clock support in task-oriented conversations by…

cs.LG2023

DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal

Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng

The marketplace system connecting demands and supplies has been explored to develop unbiased decision-making in valuing properties. Real estate appraisal serves as one of the high-…

cs.LG2023★ 3 cited

ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis

Wei-Yao Wang, Yung-Chang Huang, Tsi-Ui Ik +1

With the recent progress in sports analytics, deep learning approaches have demonstrated the effectiveness of mining insights into players' tactics for improving performance qualit…

cs.AI2023★ 2 cited

Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset

Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng +1

In recent years, badminton analytics has drawn attention due to the advancement of artificial intelligence and the efficiency of data collection. While there is a line of effective…

cs.AI2023★ 2 cited

PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion

Xiusi Chen, Wei-Yao Wang, Ziniu Hu +5

Dynamically planning in complex systems has been explored to improve decision-making in various domains. Professional basketball serves as a compelling example of a dynamic spatio-…

cs.CL2023

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 +1

Multi-modal fact verification has become an important but challenging issue on social media due to the mismatch between the text and images in the misinformation of news content, w…