Chih-Yao Chen

According to our database, Chih-Yao Chen authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions.

Cheng-Te Li, Yu-Che Tsai, Chih-Yao Chen, Jay Chiehen Liao

CoRR, 2024

Dual Graph Networks with Synthetic Oversampling for Imbalanced Rumor Detection on Social Media.

Yen-Wen Lu, Chih-Yao Chen, Cheng-Te Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

SUVR: A Search-based Approach to Unsupervised Visual Representation Learning.

Yizhan Xu, Chih-Yao Chen, Cheng-Te Li

CoRR, 2023

SUVR: A Search-Based Approach to Unsupervised Visual Representation Learning.

Yi-Zhan Xu, Chih-Yao Chen, Cheng-Te Li

Proceedings of the IEEE International Conference on Acoustics, 2023

ANTI-Disinformation: An Adversarial Attack and Defense Network Towards Improved Robustness for Disinformation Detection on Social Media.

Kuan-Chun Chen, Chih-Yao Chen, Cheng-Te Li

Proceedings of the IEEE International Conference on Big Data, 2023

HonestBait: Forward References for Attractive but Faithful Headline Generation.

Chih-Yao Chen, Dennis Wu, Lun-Wei Ku

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification.

Chih-Yao Chen, Tun-Min Hung, Yi-Li Hsu, Lun-Wei Ku

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning.

Chih-Yao Chen, Cheng-Te Li

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2019

FineNet: a joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items.

Yu-Che Tsai, Chih-Yao Chen, Shao-Lun Ma, Pei-Chi Wang, You-Jia Chen, Yu-Chieh Chang, Cheng-Te Li

Proceedings of the 13th ACM Conference on Recommender Systems, 2019