| 2026 | AAAI | 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 |
| 2026 | DASFAA | DGTC: Dynamic Graph Transformer for Graph-Level Classification. | Zhe Wang, Jiawei Chen, Sheng Zhou, Canghong Jin, Chun Chen, Can Wang |
| 2026 | WWW | TopKGAT: A Top-K Objective-Driven Architecture for Recommendation. | Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang |
| 2026 | WWW | 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 |
| 2026 | SIGIR | 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 |
| 2025 | IJCAI | 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 |
| 2025 | IJCNN | Tactile-Visual Class-Continual Learning via Temporal Attention Interaction. | Lina Wei, Yuhang Ma, Zhongsheng Lin, Xinru Ying, Canghong Jin, Fangfang Wang |
| 2025 | KSEM | 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 |
| 2025 | PRICAI | D-FRGAT: Event Prediction Framework Based on Temporal Knowledge Graph Reasoning. | Lisha Peng, Canghong Jin, Longxiang Shi, Qihao Shi |
| 2024 | CVPR | Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement. | Zhuorong Li, Daiwei Yu, Lina Wei, Canghong Jin, Yun Zhang, Sixian Chan |
| 2024 | IJCAI | 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 |
| 2024 | IJCNN | TrajGraph: A Dual-View Graph Transformer Model for Effective Next Location Recommendation. | Jiafeng Zhao, Hao Ni, Canghong Jin, Tongya Zheng, Longxiang Shi, Xiaoliang Wang |
| 2021 | ACML | 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 |
| 2020 | ICONIP | A Deep Time Series Forecasting Method Integrated with Local-Context Sensitive Features. | Tianyi Chen, Canghong Jin, Tengran Dong, Dongkai Chen |
| 2019 | PAKDD | Identifying Mobility of Drug Addicts with Multilevel Spatial-Temporal Convolutional Neural Network. | Canghong Jin, Haoqiang Liang, Dongkai Chen, Zhiwei Lin, Minghui Wu |
| 2012 | HPCC | Finding Facet Content on Web by Position Inverted Index. | Canghong Jin, Honglun Hou, Minghui Wu, Jing Ying |
| 2008 | CSCWD | A method for model-driven development of adaptive web applications. | Tao Jiang, Jing Ying, Minghui Wu, Canghong Jin |
| 2008 | CSCWD | Combine automatic and manual process on web service selection and composition to support QoS. | Canghong Jin, Minghui Wu, Tao Jiang, Jing Ying |
| 2008 | CSCWD | QoS and situation aware ontology framework for dynamic web servicescomposition. | Minghui Wu, Canghong Jin, Chunyan Yu, Hui Yan, Jing Ying |