Transformer-Based Neural Network for Answer Selection in Question Answering. - Taihua Shao; Yupu Guo; Honghui Chen; Zepeng Hao (IEEE Access, 2019)

Leveraging Different Context for Response Generation through Topic-guided Multi-head Attention. - Weikang Zhang; Zhanzhe Li; Yupu Guo (ACAI, 2020)

A Neighbor-Guided Memory-Based Neural Network for Session-Aware Recommendation. - Yupu Guo; Yanxiang Ling; Honghui Chen (IEEE Access, 2020)

A Time-Aware Graph Neural Network for Session-Based Recommendation. - Yupu Guo; Yanxiang Ling; Honghui Chen (IEEE Access, 2020)

A Joint Neural Network for Session-Aware Recommendation. - Yupu Guo; Duolong Zhang; Yanxiang Ling; Honghui Chen (IEEE Access, 2020)

Analysis and Decision-Making of Regional Economic Vitality. - Yupu Guo; Fei Cai; Honghui Chen; Peng Sun; Jianming Zheng; Duolong Zhang (ICISCAE (ACM), 2021)

CBR and Focus Learning based Joint Fire Strike Plan Generation Method. - Xin Jin; Xinnian Wang; Fei Cai; Yupu Guo (ICCCV, 2022)

Incorporating emotion for response generation in multi-turn dialogues. - Yanying Mao; Fei Cai; Yupu Guo; Honghui Chen (Appl. Intell., 2022)

Disentangled Variational Auto-encoder Enhanced by Counterfactual Data for Debiasing Recommendation. - Yupu Guo; Fei Cai; Xin Zhang; Jianming Zheng; Honghui Chen (CoRR, 2023)

Inductive link prediction on temporal networks through causal inference. - Zhiqiang Pan; Fei Cai; Wanyu Chen; Taihua Shao; Yupu Guo; Honghui Chen (Inf. Sci., 2024)

Cascading multi-scale graph pre-training and prompt tuning for learning-based community search. - Chonghao Chen; Jianming Zheng; Wanyu Chen; Xin Zhang 123; Yupu Guo; Aimin Luo; Fei Cai (Inf. Process. Manag., 2025)

Information bottleneck-driven prompt on graphs for unifying downstream few-shot classification tasks. - Xin Zhang 123; Wanyu Chen; Fei Cai; Jianming Zheng; Zhiqiang Pan; Yupu Guo; Honghui Chen (Inf. Process. Manag., 2025)