A BERT-based Heterogeneous Graph Convolution Approach for Mining Organization-Related Topics. - Haoda Qian; Minjie Yuan; Qiudan Li; Daniel Zeng 001 (IJCNN, 2022)

A Mutually Enhanced Bidirectional Approach for Jointly Mining User Demand and Sentiment (Student Abstract). - Xue Mao; Haoda Qian; Minjie Yuan; Qiudan Li (AAAI, 2023)

A Two-Stage Prompt Learning Method for Jointly Predicting Topic and Personality. - Yilin Wu 005; Minjie Yuan; Yuxuan Song; Liping Chen; Chenyu Yuan; Qiudan Li (ISI, 2023)

Identifying Topic and Cause for Sarcasm: An Unsupervised Knowledge-enhanced Prompt Method. - Minjie Yuan; Qiudan Li; Xue Mao; Daniel Dajun Zeng (WWW (Companion Volume), 2023)

A Heterogeneous Network fused with Context-aware Contrastive Learning for Sarcasm Topic-Target Pair Identification. - Minjie Yuan; Mengyu Xiang; Yuxuan Song; Qiudan Li; Jinye Fu; Daniel Dajun Zeng (WWW (Companion Volume), 2024)

A Fusion Pretrained Approach for Identifying the Cause of Sarcasm Remarks. - Qiudan Li; David Jingjun Xu; Haoda Qian; Linzi Wang; Minjie Yuan; Daniel Dajun Zeng (INFORMS J. Comput., 2025)