Canghong Jin

According to our database, Canghong Jin authored at least 49 papers between 2008 and 2026.

Collaborative distances:

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

2026

Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection.

Runang He, Tongya Zheng, Huiling Peng, Yuanyu Wan, Bingde Hu, Jiawei Chen, Canghong Jin, Mingli Song, Can Wang

CoRR, May, 2026

Informative Graph Structure Learning.

Shen Han, Zhiyao Zhou, Jiawei Chen, Sheng Zhou, Canghong Jin, Hai Lin, Da Zhong Li, Bingde Hu, Can Wang

CoRR, May, 2026

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models.

Weiqin Yang, Bohao Wang, Zhenxiang Xu, Jiawei Chen, Shengjia Zhang, Jingbang Chen, Canghong Jin, Can Wang

CoRR, January, 2026

MWaveDAN: multi-level wavelet-based dual-branch attention network for system matrix calibration in magnetic particle imaging.

Lin Yin, Hongbo Guo, Zeyu Zhang, Jun Qian, Jun Wang, Qian Liang, Canghong Jin, Wei Chen, Yang Du, Hui Lin

Expert Syst. Appl., 2026

Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders.

Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang

Proceedings of the ACM Web Conference 2026, 2026

TopKGAT: A Top-K Objective-Driven Architecture for Recommendation.

Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang

Proceedings of the ACM Web Conference 2026, 2026

DGTC: Dynamic Graph Transformer for Graph-Level Classification.

Zhe Wang, Jiawei Chen, Sheng Zhou, Canghong Jin, Chun Chen, Can Wang

Proceedings of the Database Systems for Advanced Applications, 2026

Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning.

Qinghong Guo, Yu Wang, Ji Cao, Tongya Zheng, Junshu Dai, Bingde Hu, Shunyu Liu, Canghong Jin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Learning Multi-Modal Mobility Dynamics for Generalized Next Location Recommendation.

Junshu Dai, Yu Wang, Tongya Zheng, Wei Ji, Qinghong Guo, Ji Cao, Jie Song, Canghong Jin, Mingli Song

CoRR, December, 2025

Unifying Environment Perception and Route Choice Modeling for Trajectory Representation Learning.

Ji Cao, Yu Wang, Tongya Zheng, Zujie Ren, Canghong Jin, Gang Chen, Mingli Song

CoRR, October, 2025

Does LLM Focus on the Right Words? Diagnosing Language Bias in LLM-based Recommenders.

Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang

CoRR, October, 2025

HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation.

Yu Cui, Feng Liu, Jiawei Chen, Canghong Jin, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Can Wang

CoRR, October, 2025

WemiEnv: An Open-Source Reinforcement Learning Platform for WeChat Mini-Games.

Longxiang Shi, Qianchen Ding, Jingzhe Hou, Binbin Zhou, Canghong Jin, Ye Tao, Jinling Wei, Shijian Li

IEEE Trans. Games, September, 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

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

D-FRGAT: Event Prediction Framework Based on Temporal Knowledge Graph Reasoning.

Lisha Peng, Canghong Jin, Longxiang Shi, Qihao Shi

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Mamba-Based Multimodal Continual Learning for Audio-Visual Classification with Prototype-Enhanced Anti-Forgetting Mechanism.

Jingyang Lin, Xinru Ying, Jiaqi Mo, Lina Wei, Fangfang Wang, Canghong Jin, Guanlin Chen

Proceedings of the 3rd International Workshop on Deep Multimodal Generation and Retrieval, 2025

Service Area Vehicle Flow Prediction Model for Highway Service Areas Based on Gravity Model Quadratic Assignment.

Feng Xu, Lai Meng, Yichu Dai, Zhengdong Fei, Canghong Jin, Lina Wei

Proceedings of the Knowledge Science, Engineering and Management, 2025

Tactile-Visual Class-Continual Learning via Temporal Attention Interaction.

Lina Wei, Yuhang Ma, Zhongsheng Lin, Xinru Ying, Canghong Jin, Fangfang Wang

Proceedings of the International Joint Conference on Neural Networks, 2025

Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis.

Lina Wei, Yuhang Ma, Zhongsheng Lin, Fangfang Wang, Canghong Jin, Hanbin Zhao, Dapeng Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

MamFusion: Multi-Mamba with Temporal Fusion for Partially Relevant Video Retrieval.

Xinru Ying, Jiaqi Mo, Jingyang Lin, Canghong Jin, Fangfang Wang, Lina Wei

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

FedAF: Federated Learning Framework Based on Attention Mechanisms and Fisher Information Matrix.

Yuanhong Xiao, Canghong Jin, Lisha Peng

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

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