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Canghong Jin
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Journal Articles
- 2024
- [j14]Zhuorong Li, Minghui Wu, Canghong Jin, Daiwei Yu, Hongchuan Yu:
Adversarial self-training for robustness and generalization. Pattern Recognit. Lett. 185: 117-123 (2024) - 2023
- [j13]Zhuorong Li, Daiwei Yu, Minghui Wu, Canghong Jin, Hongchuan Yu:
Adversarial supervised contrastive learning. Mach. Learn. 112(6): 2105-2130 (2023) - [j12]Guiyang Liu, Canghong Jin, Longxiang Shi, Cheng Yang, Jiangbing Shuai, Jing Ying:
Enhancing Cross-Lingual Entity Alignment in Knowledge Graphs through Structure Similarity Rearrangement. Sensors 23(16): 7096 (2023) - 2021
- [j11]Canghong Jin, Dongkai Chen, Zhiwei Lin, Zemin Liu, Minghui Wu:
How do you visit: Identifying addicts from large-scale transit records via scenario deep embedding. GeoInformatica 25(4): 799-820 (2021) - 2020
- [j10]Canghong Jin, Ting Tao, Xianzhe Luo, Zemin Liu, Minghui Wu:
S2N2: An Interpretive Semantic Structure Attention Neural Network for Trajectory Classification. IEEE Access 8: 58763-58773 (2020) - [j9]Tao Ruan, Dexing Wu, Tianyi Chen, Canghong Jin, Lei Xu, Shengli Zhou, Zhen Jiang:
Context-Aware Traffic Prediction Framework Based on Series Decomposition. IEEE Access 8: 202848-202857 (2020) - [j8]Canghong Jin, Yuli Zhou, Shengyu Ying, Chi Zhang, Weisong Wang, Minghui Wu:
A Knowledge-Fusion Ranking System with an Attention Network for Making Assignment Recommendations. Comput. Intell. Neurosci. 2020: 6748430:1-6748430:11 (2020) - 2019
- [j7]Canghong Jin, Dongkai Chen, Fanwei Zhu, Minghui Wu:
Detecting Suspects by Large-Scale Trajectory Patterns in the City. Mob. Inf. Syst. 2019: 1837594:1-1837594:11 (2019) - [j6]Canghong Jin, Zhiwei Lin, Minghui Wu:
Augmented Intention Model for Next-Location Prediction from Graphical Trajectory Context. Wirel. Commun. Mob. Comput. 2019: 2860165:1-2860165:12 (2019) - 2015
- [j5]Canghong Jin, Ze-min Li, Minghui Wu, Jing Ying:
FastFlow: Efficient Scalable Model-Driven Framework for Processing Massive Mobile Stream Data. Mob. Inf. Syst. 2015: 818307:1-818307:18 (2015) - 2014
- [j4]Matthew T. Wiley, Canghong Jin, Vagelis Hristidis, Kevin M. Esterling:
Pharmaceutical drugs chatter on Online Social Networks. J. Biomed. Informatics 49: 245-254 (2014) - 2011
- [j3]Minghui Wu, Xianghui Xiong, Jing Ying, Canghong Jin, Chunyan Yu:
QoS-driven Global Optimization Approach for Large-scale Web Services Composition. J. Comput. 6(7): 1452-1460 (2011) - 2009
- [j2]Canghong Jin, Minghui Wu, Jing Ying:
A Structure-based Approach for Dynamic Services Composition. J. Softw. 4(8): 891-898 (2009) - 2008
- [j1]Jia Lv, Ying Jing, Minghui Wu, Canghong Jin:
Crosscutting invariant and an efficient checking algorithm using program slicing. ACM SIGPLAN Notices 43(2): 12-20 (2008)
Conference and Workshop Papers
- 2024
- [c13]Zhuorong Li, Daiwei Yu, Lina Wei, Canghong Jin, Yun Zhang, Sixian Chan:
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement. CVPR 2024: 24776-24785 - [c12]Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin:
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. IJCAI 2024: 1516-1524 - [c11]Jiafeng Zhao, Hao Ni, Canghong Jin, Tongya Zheng, Longxiang Shi, Xiaoliang Wang:
TrajGraph: A Dual-View Graph Transformer Model for Effective Next Location Recommendation. IJCNN 2024: 1-8 - 2021
- [c10]Hao Wu, Tianyi Chen, Xianzhe Luo, Canghong Jin, Yun Zhang, Minghui Wu:
Hybrid Estimation for Open-Ended Questions with Early-Age Students' Block-Based Programming Answers. ACML 2021: 33-48 - [c9]Fei He, Canghong Jin, Minghui Wu:
CASE: Predict User Behaviors via Collaborative Assistant Sequence Embedding Model. CollaborateCom (2) 2021: 175-189 - 2020
- [c8]Tianyi Chen, Canghong Jin, Tengran Dong, Dongkai Chen:
A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features. ICONIP (3) 2020: 532-543 - 2019
- [c7]Guangjie Zhang, Xumin Fan, Canghong Jin, Minghui Wu:
Open-Domain Document-Based Automatic QA Models Based on CNN and Attention Mechanism. ICBK 2019: 326-332 - [c6]Canghong Jin, Haoqiang Liang, Dongkai Chen, Zhiwei Lin, Minghui Wu:
Identifying Mobility of Drug Addicts with Multilevel Spatial-Temporal Convolutional Neural Network. PAKDD (1) 2019: 477-488 - 2018
- [c5]Guanlin Chen, Peipei Tang, Canghong Jin, Zhuoyue Zhu:
Research on Urban Street Order Based on Data Mining Technology. Big Data (CCF) 2018: 227-237 - 2012
- [c4]Canghong Jin, Honglun Hou, Minghui Wu, Jing Ying:
Finding Facet Content on Web by Position Inverted Index. HPCC-ICESS 2012: 1699-1703 - 2008
- [c3]Tao Jiang, Jing Ying, Minghui Wu, Canghong Jin:
A method for model-driven development of adaptive web applications. CSCWD 2008: 386-391 - [c2]Canghong Jin, Minghui Wu, Tao Jiang, Jing Ying:
Combine automatic and manual process on web service selection and composition to support QoS. CSCWD 2008: 459-464 - [c1]Minghui Wu, Canghong Jin, Chunyan Yu, Hui Yan, Jing Ying:
QoS and situation aware ontology framework for dynamic web servicescomposition. CSCWD 2008: 488-493
Informal and Other Publications
- 2024
- [i1]Daiwei Yu, Zhuorong Li, Lina Wei, Canghong Jin, Yun Zhang, Sixian Chan:
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement. CoRR abs/2403.09101 (2024)
Coauthor Index
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