Exploring Multi-level Mutual Information for Drug-target Interaction Prediction. - Jiatao Chen; Liang Zhang 031; Ke Cheng 003; Bo Jin 001; Xinjiang Lu; Chao Che; Yiwei Liu (BIBM, 2020)

Combining dynamic local context focus and dependency cluster attention for aspect-level sentiment classification. - Mayi Xu; Biqing Zeng; Heng Yang 008; Junlong Chi; Jiatao Chen; Hongye Liu (Neurocomputing, 2022)

Predicting Drug-Target Interaction Via Self-Supervised Learning. - Jiatao Chen; Liang Zhang 031; Ke Cheng 003; Bo Jin 001; Xinjiang Lu; Chao Che (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

RFM: response-aware feedback mechanism for background based conversation. - Jiatao Chen; Biqing Zeng; Zhibin Du; Huimin Deng; Mayi Xu; Zibang Gan; Meirong Ding (Appl. Intell., 2023)

IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction. - Peiliang Zhang; Jiatao Chen; Chao Che; Liang Zhang 031; Bo Jin 001; Yongjun Zhu (Inf. Sci., 2023)

MusicMamba: A Dual-Feature Modeling Approach for Generating Chinese Traditional Music with Modal Precision. - Jiatao Chen; Xing Tang 001; Tianming Xie; Jing Wang 063; Wenjing Dong; Bing Shi 002 (ICASSP, 2025)

Diffusion-based Symbolic Music Generation with Structured State Space Models. - Shenghua Yuan; Xing Tang 001; Jiatao Chen; Tianming Xie; Jing Wang 063; Bing Shi 002 (CoRR, 2025)