Upsampling Flare Soot Pictures by Fusing Global Perception and Local Details. - Huiqing Zhang; Shuo Li; Zichen Wang; Qixiang Zhou; Hongbo Dang (IEEE Access, 2020)

Graphical Modeling VS. Textual Modeling: An Experimental Comparison Based on iStar Models. - Wenxing Liu; Yunduo Wang; Qixiang Zhou; Tong Li 001 (COMPSAC, 2021)

Toward practical adoption of i* framework: an automatic two-level layout approach. - Yunduo Wang; Tong Li 001; Qixiang Zhou; Jinlian Du (Requir. Eng., 2021)

Assisting in requirements goal modeling: a hybrid approach based on machine learning and logical reasoning. - Qixiang Zhou; Tong Li 001; Yunduo Wang (MoDELS, 2022)

A User-friendly Semi-automatic iStar Modeling Approach. - Qixiang Zhou; Tong Li 001 (RE, 2022)

Sonar image quality evaluation using deep neural network. - Huiqing Zhang; Shuo Li; Donghao Li; Zichen Wang; Qixiang Zhou; Qixin You (IET Image Process., 2022)

Improving Requirements Classification Models Based on Explainable Requirements Concerns. - Lu Han; Qixiang Zhou; Tong Li 001 (REW, 2023)

An LLM-based Multi-stage Approach for Automated Test Case Generation from User Stories (S). - Qixiang Zhou; Jiaxuan Li; Jiahong Sun; Tong Li 001 (SEKE, 2024)

Machine learning for requirements engineering (ML4RE): A systematic literature review complemented by practitioners' voices from Stack Overflow. - Tong Li 001; Xinran Zhang; Yunduo Wang; Qixiang Zhou; Yiting Wang; Fangqi Dong (Inf. Softw. Technol., 2024)