Modeling and simulation of high-pressure urea synthesis loop. - Xiangping Zhang; Suojiang Zhang; Pingjing Yao; Yi Yuan (Comput. Chem. Eng., 2005)

Prediction of viscosity of imidazolium-based ionic liquids using MLR and SVM algorithms. - Yongsheng Zhao; Xiangping Zhang; Liyuan Deng; Suojiang Zhang (Comput. Chem. Eng., 2016)

Hyperspectral Anomaly Detection With Attribute and Edge-Preserving Filters. - Xudong Kang; Xiangping Zhang; Shutao Li; Kenli Li 001; Jun Li 009; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2017)

A Prior Knowledge Based Approach to Improving Accuracy of Web Services Clustering. - Min Shi 001; Jianxun Liu 001; Buqing Cao; Yiping Wen; Xiangping Zhang (SCC, 2018)

Web Service Discovery Based on Information Gain Theory and BiLSTM with Attention Mechanism. - Xiangping Zhang; Jianxun Liu 001; Buqing Cao; Qiaoxiang Xiao; Yiping Wen (CollaborateCom, 2018)

Web Service Recommendation via Combining Doc2Vec-Based Functionality Clustering and DeepFM-Based Score Prediction. - Xiangping Zhang; Jianxun Liu 001; Buqing Cao; Qiaoxiang Xiao; Yiping Wen (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Web Services Clustering Based on HDP and SOM Neural Network. - Qiaoxiang Xiao; Buqing Cao; Xiangping Zhang; Jianxun Liu 001; Rong Hu; Bing Li 010 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Relationship Network Augmented Web Services Clustering. - Yingcheng Cao; Jianxun Liu 001; Min Shi 001; Buqing Cao; Xiangping Zhang; Yan Wang 002 (ICWS, 2019)

Transfer learning for process fault diagnosis: Knowledge transfer from simulation to physical processes. - Weijun Li; Sai Gu; Xiangping Zhang; Tao Chen 009 (Comput. Chem. Eng., 2020)

Stakeholder-oriented multi-objective process optimization based on an improved genetic algorithm. - Yang Su; Saimeng Jin; Xiangping Zhang; Weifeng Shen; Mario R. Eden; Jingzheng Ren (Comput. Chem. Eng., 2020)

Word Embedding-based Web Service Representations for Classification and Clustering. - Xiangping Zhang; Jianxun Liu 001; Min Shi 001; Buqing Cao (SCC, 2021)

Embedded Image Recognition System for Lightweight Convolutional Neural Networks. - Jie Fang; Xiangping Zhang (AIAM (ACM), 2021)

Prediction of Heart Disease based on Enhanced Random Forest. - Xianzhen Huang; Honghui Fan; Hongjin Zhu; Xiangping Zhang (CCIS, 2021)

Improvement of YOLOV5 Model Based on the Structure of Multiscale Domain Adaptive Network for Crowdscape. - Xiangping Zhang; Honghui Fan; Hongjin Zhu; Xianzhen Huang; Tao Wu; Hongyan Zhou (CCIS, 2021)

Tatt-BiLSTM: Web service classification with topical attention-based BiLSTM. - Guosheng Kang; Yong Xiao; Jianxun Liu 001; Yingcheng Cao; Buqing Cao; Xiangping Zhang; Linghang Ding (Concurr. Comput. Pract. Exp., 2021)

Web service classification based on information gain theory and bidirectional long short-term memory with attention mechanism. - Xiangping Zhang; Jianxun Liu 001; Buqing Cao; Min Shi 001 (Concurr. Comput. Pract. Exp., 2021)

Prediction of the Liquid-Liquid Extraction Properties of Imidazolium-Based Ionic Liquids for the Extraction of Aromatics from Aliphatics. - Tianhao Yu; Emilia Olsson; Guoping Lian; Lei Liu; Feng Huo; Xiangping Zhang; Qiong Cai (J. Chem. Inf. Model., 2021)

A novel hybrid model for short-term prediction of wind speed. - Haize Hu; Yunyi Li; Xiangping Zhang; Mengge Fang (Pattern Recognit., 2022)

A Code Search Method Incorporating Code Annotations. - Qi Li; Jianxun Liu; Xiangping Zhang (CollaborateCom (1), 2023)

A Multiple-Path Learning Neural Network Model for Code Completion. - Yi Liu; Jianxun Liu 001; Xiangping Zhang; Haize Hu (ICWS, 2023)

Multilayer self-attention residual network for code search. - Haize Hu; Jianxun Liu 001; Xiangping Zhang (Concurr. Comput. Pract. Exp., 2023)

Estimation of the User Contribution Rate by Leveraging Time Sequence in Pairwise Matching function-point between Users Feedback and App Updating Log. - Shiqi Duan; Jianxun Liu 001; Yong Xiao; Xiangping Zhang (CoRR, 2023)

A mutual embedded self-attention network model for code search. - Haize Hu; Jianxun Liu 001; Xiangping Zhang; Ben Cao; Siqiang Cheng; Teng Long (J. Syst. Softw., 2023)

An Effective and Adaptable K-means Algorithm for Big Data Cluster Analysis. - Haize Hu; Jianxun Liu 001; Xiangping Zhang; Mengge Fang (Pattern Recognit., 2023)

A parallel deep learning-based code clone detection model. - Xiangping Zhang; Jianxun Liu 001; Min Shi 001 (J. Parallel Distributed Comput., 2023)

LMB: Augmenting PCIe Devices with CXL-Linked Memory Buffer. - Jiapin Wang; Xiangping Zhang; Chenlei Tang; Xiang Chen; Tao Lu (CoRR, 2024)

GRRLN: Gated Recurrent Residual Learning Networks for code clone detection. - Xiangping Zhang; Jianxun Liu; Min Shi (J. Softw. Evol. Process., 2024)

A code completion approach combining pointer network and Transformer-XL network. - Xiangping Zhang; Jianxun Liu; Teng Long; Haize Hu (Appl. Intell., 2025)