Crossroads: A Practical Data Sketching Solution for Mining Intersection of Streams. - Zhenglin Yu; Zihui Ge; Ashwin Lall; Jia Wang 001; Jun (Jim) Xu; He Yan (Internet Measurement Conference, 2014)

Commercial Video Evaluation via Low-Level Feature Extraction and Selection. - Xiangmin Lun; Mingxuan Wang; Zhenglin Yu; Yimin Hou (Adv. Multim., 2018)

Research on 3D building information extraction and image post-processing based on vehicle LIDAR. - Peng Cang; Zhenglin Yu (EURASIP J. Image Video Process., 2018)

Simulation Design of Collimation Zoom Optical System Based on Laser Ranging. - Maoyun Zhang; Chen Tang; Yang Xiang; Guohua Cao; Zhenglin Yu; Fenglong Chen; Zeyuan Ji (Wirel. Pers. Commun., 2018)

Laser Scanning Imaging System Research and Development Trend Analysis. - Maoyun Zhang; Chen Tang; Zhenglin Yu; Fenglong Chen (CSIA, 2019)

A novel approach of CNN for human motor imagery recognition using the virtual electrode pairs. - Xiangmin Lun; Zhenglin Yu; Fang Wang; Tao Chen; Yimin Hou (J. Intell. Fuzzy Syst., 2021)

Proximity Preserving Graph Convolutional Networks. - Zhenglin Yu; Hui Yan; Ling Guo (APWeb/WAIM (1), 2022)

Parallel Message Passing in Dual-space on Graphs. - Zhenglin Yu; Hui Yan (ICANN (2), 2022)

3D Map Extraction and Reconstruction Based on Point Cloud Data. - Jianyin Tang; Zhenglin Yu; Changshun Shao; Kaifang Din; Dianming Li; Shida Xu (SMC, 2023)

Multi-agent deep reinforcement learning for task offloading in group distributed manufacturing systems. - Jianyu Xiong; Peng Guo; Yi Wang 110; Xiangyin Meng; Jian Zhang 043; Linmao Qian; Zhenglin Yu (Eng. Appl. Artif. Intell., 2023)

Virtual recombination technology of production line based on reinforcement learning. - Jingsong Duan; Guohua Cao; Guoqing Ma 004; Zhenglin Yu (IoTAAI, 2024)

Research on On-Line Monitoring of Grinding Wheel Wear Based on Multi-Sensor Fusion. - Jingsong Duan; Guohua Cao; Guoqing Ma 004; Zhenglin Yu; Changshun Shao (Sensors, 2024)

A reinforcement learning method for flexible job shop scheduling based on multi-head attention and deep residual network. - Changshun Shao; Zhenglin Yu; Hongchang Ding; Guohua Cao; Bin Zhou (Comput. Electr. Eng., 2025)

A random flight-follow leader and reinforcement learning approach for flexible job shop scheduling problem. - Changshun Shao; Zhenglin Yu; Hongchang Ding; Guohua Cao; Jingsong Duan; Bin Zhou (J. Supercomput., 2025)