User's Rough Set Based Fuzzy Interest Model in Mining WWW Cache. - Weifeng Zhang 001; Baowen Xu; Guoqiang Zhou (ISPA Workshops, 2005)

Harmonic functions based semi-supervised learning for web spam detection. - Weifeng Zhang 001; Danmei Zhu; Yingzhou Zhang; Guoqiang Zhou; Baowen Xu (SAC, 2011)

Detecting Image Spam Based on K-Labels Propagation Model. - Xiaoyan Qian; Weifeng Zhang 001; Yingzhou Zhang; Guoqiang Zhou; Ziyuan Wang 001 (IEEE WISA, 2013)

去随意推荐的信任评估模型 (Trust Evaluation Model with Eliminating Random Recommendation). - Guoqiang Zhou; Hongfang Liu; Ziyuan Wang (计算机科学, 2016)

A dynamic trust evaluation mechanism based on affective intensity computing. - Guoqiang Zhou; Kuang Wang; Chen Zhao; Guofu Zhou (Secur. Commun. Networks, 2016)

The Utility Challenge of Privacy-Preserving Data-Sharing in Cross-Company Defect Prediction: An Empirical Study of the CLIFF&MORPH Algorithm. - Yi Fan; Chenxi Lv; Xu Zhang; Guoqiang Zhou; Yuming Zhou (ICSME, 2017)

Recommendations based on user effective point-of-interest path. - Guoqiang Zhou; Shuai Zhang; Yi Fan; Jingjin Li; Wenbo Yao; Hongfang Liu (Int. J. Mach. Learn. Cybern., 2019)

A differential privacy noise dynamic allocation algorithm for big multimedia data. - Guoqiang Zhou; Shui Qin; Hongfei Zhou; Dansong Cheng (Multim. Tools Appl., 2019)

Parametric Analysis of the I-Stage Structure for a Dual-Stage Gas Pressure Reducing Regulator. - Hui Wang; Changshuai Zhang; Guochao Zhao; Yuning Song; Peng Fu; Guoqiang Zhou (IEEE Access, 2020)

Grey Weighted QoS Evaluation based on Real-Time Scene. - Xiulian Tang; Guoqiang Zhou (Int. J. Perform. Eng., 2020)

Determining learning direction via multi-controller model for stably searching generative adversarial networks. - Yi Fan; Guoqiang Zhou; Weifeng Zhang; Shudi Bao; Jun Shen 001 (Neurocomputing, 2021)

Toward gradient bandit-based selection of candidate architectures in AutoGAN. - Yi Fan; Guoqiang Zhou; Jun Shen 001; Guilan Dai (Soft Comput., 2021)

Distributed GAN: Toward a Faster Reinforcement-Learning-Based Architecture Search. - Jiachen Shi; Yi Fan; Guoqiang Zhou; Jun Shen 001 (IEEE Trans. Artif. Intell., 2022)

EfficientAutoGAN: Predicting the Rewards in Reinforcement-Based Neural Architecture Search for Generative Adversarial Networks. - Yi Fan; Xiulian Tang; Guoqiang Zhou; Jun Shen 001 (IEEE Trans. Cogn. Dev. Syst., 2022)

Study on Vibration Characteristics of Electro-Hydraulic Excitation System Controlled by Alternating Flow Distribution Rotary Valve. - Guochao Zhao; Shi Yin; Guoqiang Zhou; Hui Wang (IEEE Access, 2023)

AutoInfo GAN: Toward a better image synthesis GAN framework for high-fidelity few-shot datasets via NAS and contrastive learning. - Jiachen Shi; Wenzhen Liu; Guoqiang Zhou; Yuming Zhou (Knowl. Based Syst., 2023)

MultiselfGAN: A Self-Guiding Neural Architecture Search Method for Generative Adversarial Networks With Multicontrollers. - Jiachen Shi; Guoqiang Zhou; Shudi Bao; Jun Shen 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

Object-aware Policy Network in Deep Recommender Systems. - Guoqiang Zhou; Zhangxian Xu; Jiayin Lin; Shudi Bao; Liliang Zhou; Jun Shen 001 (J. Signal Process. Syst., 2023)

Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go? - Zhaoqiang Guo; Shiran Liu; Xutong Liu; Wei Lai; Mingliang Ma; Xu Zhang; Chao Ni 001; Yibiao Yang; Yanhui Li; Lin Chen 015; Guoqiang Zhou; Yuming Zhou (ACM Trans. Softw. Eng. Methodol., 2023)

GEMF: a novel geometry-enhanced mid-fusion network for PLA prediction. - Guoqiang Zhou; Yuke Qin; Qiansen Hong; Haoran Li; Huaming Chen; Jun Shen 001 (Briefings Bioinform., 2024)

Global disentangled graph convolutional neural network based on a graph topological metric. - Wenzhen Liu; Guoqiang Zhou; Xiaoyu Mao; Shudi Bao; Haoran Li; Jiahua Shi; Huaming Chen; Jun Shen 001; Yuanming Huang (Knowl. Based Syst., 2024)

MMF-RNN: A Multimodal Fusion Model for Precipitation Nowcasting Using Radar and Ground Station Data. - Qian Liu; Yongxiang Xiao; Yaocheng Gui; Guilan Dai; Haoran Li; Xu Zhou 006; Aiai Ren; Guoqiang Zhou; Jun Shen 001 (IEEE Trans. Geosci. Remote. Sens., 2025)