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 (RecSys, 2019)

ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning. - Chih-Yao Chen; Cheng-Te Li (NAACL-HLT, 2021)

Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification. - Chih-Yao Chen; Tun-Min Hung; Yi-Li Hsu; Lun-Wei Ku (ACL (1), 2023)

HonestBait: Forward References for Attractive but Faithful Headline Generation. - Chih-Yao Chen; Dennis Wu; Lun-Wei Ku (ACL (Findings), 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 (IEEE Big Data, 2023)

SUVR: A Search-Based Approach to Unsupervised Visual Representation Learning. - Yi-Zhan Xu; Chih-Yao Chen; Cheng-Te Li (ICASSP, 2023)

SUVR: A Search-based Approach to Unsupervised Visual Representation Learning. - Yizhan Xu; Chih-Yao Chen; Cheng-Te Li (CoRR, 2023)

Dual Graph Networks with Synthetic Oversampling for Imbalanced Rumor Detection on Social Media. - Yen-Wen Lu; Chih-Yao Chen; Cheng-Te Li (WWW (Companion Volume), 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)

Towards Robust Rumor Detection with Graph Contrastive and Curriculum Learning. - Wen-Ming Zhuang; Chih-Yao Chen; Cheng-Te Li (ACM Trans. Knowl. Discov. Data, 2024)

Personalized Product Description Generation With Gated Pointer-Generator Transformer. - Yu-Sen Liang; Chih-Yao Chen; Cheng-Te Li; Sheng-Mao Chang (IEEE Trans. Comput. Soc. Syst., 2025)