A method for model-driven development of adaptive web applications. - Tao Jiang 034; Jing Ying; Minghui Wu 001; Canghong Jin (CSCWD, 2008)

Combine automatic and manual process on web service selection and composition to support QoS. - Canghong Jin; Minghui Wu 001; Tao Jiang 034; Jing Ying (CSCWD, 2008)

QoS and situation aware ontology framework for dynamic web servicescomposition. - Minghui Wu 001; Canghong Jin; Chunyan Yu; Hui Yan; Jing Ying (CSCWD, 2008)

Crosscutting invariant and an efficient checking algorithm using program slicing. - Jia Lv; Ying Jing; Minghui Wu 001; Canghong Jin (ACM SIGPLAN Notices, 2008)

A Structure-based Approach for Dynamic Services Composition. - Canghong Jin; Minghui Wu 001; Jing Ying (J. Softw., 2009)

QoS-driven Global Optimization Approach for Large-scale Web Services Composition. - Minghui Wu 001; Xianghui Xiong; Jing Ying; Canghong Jin; Chunyan Yu (J. Comput., 2011)

Finding Facet Content on Web by Position Inverted Index. - Canghong Jin; Honglun Hou; Minghui Wu 001; Jing Ying (HPCC-ICESS, 2012)

Pharmaceutical drugs chatter on Online Social Networks. - Matthew T. Wiley; Canghong Jin; Vagelis Hristidis; Kevin M. Esterling (J. Biomed. Informatics, 2014)

FastFlow: Efficient Scalable Model-Driven Framework for Processing Massive Mobile Stream Data. - Canghong Jin; Ze-min Li; Minghui Wu 001; Jing Ying (Mob. Inf. Syst., 2015)

Research on Urban Street Order Based on Data Mining Technology. - Guanlin Chen; Peipei Tang; Canghong Jin; Zhuoyue Zhu (Big Data (CCF), 2018)

Open-Domain Document-Based Automatic QA Models Based on CNN and Attention Mechanism. - Guangjie Zhang; Xumin Fan; Canghong Jin; Minghui Wu 001 (ICBK, 2019)

Identifying Mobility of Drug Addicts with Multilevel Spatial-Temporal Convolutional Neural Network. - Canghong Jin; Haoqiang Liang; Dongkai Chen; Zhiwei Lin; Minghui Wu 001 (PAKDD (1), 2019)

Detecting Suspects by Large-Scale Trajectory Patterns in the City. - Canghong Jin; Dongkai Chen; Fanwei Zhu; Minghui Wu 001 (Mob. Inf. Syst., 2019)

Augmented Intention Model for Next-Location Prediction from Graphical Trajectory Context. - Canghong Jin; Zhiwei Lin; Minghui Wu 001 (Wirel. Commun. Mob. Comput., 2019)

A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features. - Tianyi Chen; Canghong Jin; Tengran Dong; Dongkai Chen (ICONIP (3), 2020)

S2N2: An Interpretive Semantic Structure Attention Neural Network for Trajectory Classification. - Canghong Jin; Ting Tao; Xianzhe Luo; Zemin Liu; Minghui Wu 001 (IEEE Access, 2020)

Context-Aware Traffic Prediction Framework Based on Series Decomposition. - Tao Ruan; Dexing Wu; Tianyi Chen; Canghong Jin; Lei Xu; Shengli Zhou; Zhen Jiang (IEEE Access, 2020)

A Knowledge-Fusion Ranking System with an Attention Network for Making Assignment Recommendations. - Canghong Jin; Yuli Zhou; Shengyu Ying; Chi Zhang; Weisong Wang; Minghui Wu 001 (Comput. Intell. Neurosci., 2020)

Hybrid Estimation for Open-Ended Questions with Early-Age Students' Block-Based Programming Answers. - Hao Wu; Tianyi Chen; Xianzhe Luo; Canghong Jin; Yun Zhang 011; Minghui Wu 001 (ACML, 2021)

CASE: Predict User Behaviors via Collaborative Assistant Sequence Embedding Model. - Fei He; Canghong Jin; Minghui Wu 001 (CollaborateCom (2), 2021)

How do you visit: Identifying addicts from large-scale transit records via scenario deep embedding. - Canghong Jin; Dongkai Chen; Zhiwei Lin; Zemin Liu; Minghui Wu 001 (GeoInformatica, 2021)

Adversarial supervised contrastive learning. - Zhuorong Li; Daiwei Yu; Minghui Wu 001; Canghong Jin; Hongchuan Yu (Mach. Learn., 2023)

Enhancing Cross-Lingual Entity Alignment in Knowledge Graphs through Structure Similarity Rearrangement. - Guiyang Liu; Canghong Jin; Longxiang Shi; Cheng Yang; Jiangbing Shuai; Jing Ying (Sensors, 2023)

Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement. - Zhuorong Li; Daiwei Yu; Lina Wei; Canghong Jin; Yun Zhang; Sixian Chan (CVPR, 2024)

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. - Mengqi Xue; Qihan Huang; Haofei Zhang; Jingwen Hu; Jie Song 011; Mingli Song; Canghong Jin (IJCAI, 2024)

TrajGraph: A Dual-View Graph Transformer Model for Effective Next Location Recommendation. - Jiafeng Zhao; Hao Ni; Canghong Jin; Tongya Zheng; Longxiang Shi; Xiaoliang Wang (IJCNN, 2024)

Adversarial self-training for robustness and generalization. - Zhuorong Li; Minghui Wu 001; Canghong Jin; Daiwei Yu; Hongchuan Yu (Pattern Recognit. Lett., 2024)

FedAF: Federated Learning Framework Based on Attention Mechanisms and Fisher Information Matrix. - Yuanhong Xiao; Canghong Jin; Lisha Peng (ICIC (10), 2025)

Intra and inter-series pattern representations fusion network for multiple time series forecasting. - Canghong Jin; Tianyi Chen; Hao Ni; Qihao Shi (Appl. Soft Comput., 2025)

BARE: Balance representation for imbalance multi-class node classification on heterogeneous information networks. - Canghong Jin; Hao Ni; Feng Miao; Tongya Zheng; Mingli Song; Zemin Liu (Expert Syst. Appl., 2025)

MamFusion: Multi-Mamba with Temporal Fusion for Partially Relevant Video Retrieval. - Xinru Ying; Jiaqi Mo; Jingyang Lin; Canghong Jin; Fangfang Wang; Lina Wei (CoRR, 2025)