Canghong Jin

According to our database, Canghong Jin authored at least 27 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adversarial self-training for robustness and generalization.

Zhuorong Li, Minghui Wu, Canghong Jin, Daiwei Yu, Hongchuan Yu

Pattern Recognit. Lett., 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

Proceedings of the International Joint Conference on Neural Networks, 2024

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition.

Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement.

Zhuorong Li, Daiwei Yu, Lina Wei, Canghong Jin, Yun Zhang, Sixian Chan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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, August, 2023

Adversarial supervised contrastive learning.

Zhuorong Li, Daiwei Yu, Minghui Wu, Canghong Jin, Hongchuan Yu

Mach. Learn., June, 2023

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

GeoInformatica, 2021

CASE: Predict User Behaviors via Collaborative Assistant Sequence Embedding Model.

Fei He, Canghong Jin, Minghui Wu

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

Hybrid Estimation for Open-Ended Questions with Early-Age Students' Block-Based Programming Answers.

Hao Wu, Tianyi Chen, Xianzhe Luo, Canghong Jin, Yun Zhang, Minghui Wu

Proceedings of the Asian Conference on Machine Learning, 2021

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

Comput. Intell. Neurosci., 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

S2N2: An Interpretive Semantic Structure Attention Neural Network for Trajectory Classification.

Canghong Jin, Ting Tao, Xianzhe Luo, Zemin Liu, Minghui Wu

IEEE Access, 2020

A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features.

Tianyi Chen, Canghong Jin, Tengran Dong, Dongkai Chen

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Augmented Intention Model for Next-Location Prediction from Graphical Trajectory Context.

Canghong Jin, Zhiwei Lin, Minghui Wu

Wirel. Commun. Mob. Comput., 2019

Detecting Suspects by Large-Scale Trajectory Patterns in the City.

Canghong Jin, Dongkai Chen, Fanwei Zhu, Minghui Wu

Mob. Inf. Syst., 2019

Identifying Mobility of Drug Addicts with Multilevel Spatial-Temporal Convolutional Neural Network.

Canghong Jin, Haoqiang Liang, Dongkai Chen, Zhiwei Lin, Minghui Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Open-Domain Document-Based Automatic QA Models Based on CNN and Attention Mechanism.

Guangjie Zhang, Xumin Fan, Canghong Jin, Minghui Wu

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018

Research on Urban Street Order Based on Data Mining Technology.

Guanlin Chen, Peipei Tang, Canghong Jin, Zhuoyue Zhu

Proceedings of the Big Data - 6th CCF Conference, 2018

2015

FastFlow: Efficient Scalable Model-Driven Framework for Processing Massive Mobile Stream Data.

Canghong Jin, Ze-min Li, Minghui Wu, Jing Ying

Mob. Inf. Syst., 2015

2014

Pharmaceutical drugs chatter on Online Social Networks.

Matthew T. Wiley, Canghong Jin, Vagelis Hristidis, Kevin M. Esterling

J. Biomed. Informatics, 2014

2012

Finding Facet Content on Web by Position Inverted Index.

Canghong Jin, Honglun Hou, Minghui Wu, Jing Ying

Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

2011

QoS-driven Global Optimization Approach for Large-scale Web Services Composition.

Minghui Wu, Xianghui Xiong, Jing Ying, Canghong Jin, Chunyan Yu

J. Comput., 2011

2009

A Structure-based Approach for Dynamic Services Composition.

Canghong Jin, Minghui Wu, Jing Ying

J. Softw., 2009

2008

Crosscutting invariant and an efficient checking algorithm using program slicing.

Jia Lv, Ying Jing, Minghui Wu, Canghong Jin

ACM SIGPLAN Notices, 2008

QoS and situation aware ontology framework for dynamic web servicescomposition.

Minghui Wu, Canghong Jin, Chunyan Yu, Hui Yan, Jing Ying

Proceedings of the 12th International Conference on CSCW in Design, 2008

Combine automatic and manual process on web service selection and composition to support QoS.

Canghong Jin, Minghui Wu, Tao Jiang, Jing Ying

Proceedings of the 12th International Conference on CSCW in Design, 2008

A method for model-driven development of adaptive web applications.

Tao Jiang, Jing Ying, Minghui Wu, Canghong Jin

Proceedings of the 12th International Conference on CSCW in Design, 2008