Reliability Analysis for Manufacturing Grid. - Qiming Zou; Tao Yu; Haiyang Sun 002 (PROLAMAT, 2006)

The Study of Information Services in Manufacturing Grid. - Qiming Zou; Tao Yu; Lilan Liu; Hongxia Cai (CSIE (5), 2009)

Implementation of weighted summation type fractional Fourier transform on FPGA. - Qiming Zou; Longlong Li; Qian Huang; Fei Wang (ICDIP, 2015)

Computation Load Balancing Real-Time Model Predictive Control in Urban Traffic Networks. - Qiming Zou; Ke Lu; Yu Li (CoRR, 2018)

Sample-Efficient Policy Learning based on Completely Behavior Cloning. - Qiming Zou; Ling Wang; Ke Lu; Yu Li (CoRR, 2018)

A Dynamic Planning Framework for QoS-Based Mobile Service Composition Under Cloud-Edge Hybrid Environments. - Honghao Gao; Wanqiu Huang; Qiming Zou; Xiaoxian Yang (CollaborateCom, 2019)

Sample-Efficient Policy Learning based on Completely Behavior Cloning. - Qiming Zou; Ling Wang 005; Yu Li; Jie Liu 001 (SMC, 2019)

Food Recognition and Dietary Assessment for Healthcare System at Mobile Device End Using Mask R-CNN. - Hui Ye; Qiming Zou (TRIDENTCOM, 2019)

Novel Financial Capital Flow Forecast Framework Using Time Series Theory and Deep Learning: A Case Study Analysis of Yu'e Bao Transaction Data. - Xiaoxian Yang; Shunyi Mao; Honghao Gao; Yucong Duan; Qiming Zou (IEEE Access, 2019)

A novel traffic signal split approach based on Explicit Model Predictive Control. - Ke Lu; Pingping Du; Jinde Cao; Qiming Zou; Tianjia He; Wei Huang 017 (Math. Comput. Simul., 2019)

A Progressive Output Strategy for Real-time Feedback Control Systems. - Qiming Zou; Ling Wang; Jie Liu; Yingtao Jiang (Intell. Autom. Soft Comput., 2020)

Contrastive Goal Grouping for Policy Generalization in Goal-Conditioned Reinforcement Learning. - Qiming Zou; Einoshin Suzuki (ICONIP (1), 2021)

Sample-Efficient Goal-Conditioned Reinforcement Learning via Predictive Information Bottleneck for Goal Representation Learning. - Qiming Zou; Einoshin Suzuki (ICRA, 2023)

Compact Goal Representation Learning via Information Bottleneck in Goal-Conditioned Reinforcement Learning. - Qiming Zou; Einoshin Suzuki (IEEE Trans. Neural Networks Learn. Syst., 2025)