Feature Selection Based on Gain Ratio in Hybrid Incomplete Information Systems. - Jiazheng Chen; Jingjing Hu; Gangqiang Zhang (ISKE, 2021)

Carpet Defect Detection by Transfer Learning Combing Classification and Semantic Segmentation. - Tianqing Ren; Longfei Zhou; Ke Xu; Yifan Wang; Siyu Wu; Yuliang Gai; Jiazheng Chen; Zhichao Gou (UV, 2022)

A New Convolutional Neural Network for Identification of Damaged Electronic Components. - Fei Teng; Longfei Zhou; Haoliang Liu; Qingyang Zhao; Zehang Li; Pengfei Liu; Yonggen Dai; Lu Gao; Zhichao Gou; Jiazheng Chen; Jiasheng Yang (UV, 2022)

Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling. - Jiazheng Chen; Wanchun Liu; Daniel E. Quevedo; Yonghui Li 001; Branka Vucetic (ICC, 2023)

Quantifying the Scale Effect of the Relationship between Land Surface Temperature and Landscape Pattern. - Jiazheng Chen; Li Wang; Lin Ma; Xinyan Fan (Remote. Sens., 2023)

Semantic-Aware Transmission Scheduling: A Monotonicity-Driven Deep Reinforcement Learning Approach. - Jiazheng Chen; Wanchun Liu; Daniel E. Quevedo; Yonghui Li 001; Branka Vucetic (IEEE Commun. Lett., 2023)

Detection network for multi-size and multi-target tea bud leaves in the field of view via improved YOLOv7. - Tianci Chen; Haoxin Li; Jiazheng Chen; Zhiheng Zeng; Chongyang Han; Weibin Wu 001 (Comput. Electron. Agric., 2024)

Structure-Enhanced DRL for Optimal Transmission Scheduling. - Jiazheng Chen; Wanchun Liu; Daniel E. Quevedo; Saeed R. Khosravirad; Yonghui Li 001; Branka Vucetic (IEEE Trans. Wirel. Commun., 2024)

Goal-oriented Transmission Scheduling: Structure-guided DRL with a Unified Dual On-policy and Off-policy Approach. - Jiazheng Chen; Wanchun Liu (CoRR, 2025)