Papers

  • Zhang, Z., Xu, D., Ouyang, W., & Tan, C. (2019). Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization. IEEE Transactions on Circuits and Systems for Video Technology.
  • Sun, F., Kong, T., Huang, W., Tan, C., Fang, B., & Liu, H. (2019). Feature Pyramid Reconfiguration with Consistent Loss for Object Detection. IEEE Transactions on Image Processing.
  • Zhang, W., Sun, F., Wu, H., Tan, C., & Ma, Y. (2019). Asynchronous brain-computer interface shared control of robotic grasping. Tsinghua Science and Technology, 24(3), 360-370.
  • Fang, B., Sun, F., Liu, H., Tan, C., & Guo, D. (2019). A glove-based system for object recognition via visual-tactile fusion. Science China Information Sciences, 62(5), 50203.
  • Tan, C., Sun, F., Kong, T., Fang, B., & Zhang, W. (2019, April). Attention-based Transfer Learning for Brain-computer Interface. In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1154-1158). IEEE. [Paper link]
@inproceedings{tan2019attention,
  title={Attention-based Transfer Learning for Brain-computer Interface},
  author={Tan, Chuanqi and Sun, Fuchun and Kong, Tao and Fang, Bin and Zhang, Wenchang},
  booktitle={ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={1154--1158},
  year={2019},
  organization={IEEE}
}
  • Tan, C., Sun, F., Fang, B., Kong, T., & Zhang, W. (2019). Autoencoder-based transfer learning in brain–computer interface for rehabilitation robot. International Journal of Advanced Robotic Systems, 16(2), 1729881419840860. [Paper link]
@article{tan2019autoencoder,
  title={Autoencoder-based transfer learning in brain--computer interface for rehabilitation robot},
  author={Tan, Chuanqi and Sun, Fuchun and Fang, Bin and Kong, Tao and Zhang, Wenchang},
  journal={International Journal of Advanced Robotic Systems},
  volume={16},
  number={2},
  pages={1729881419840860},
  year={2019},
  publisher={SAGE Publications Sage UK: London, England}
}
  • Tan, C., Sun, F., Kong, T., Zhang, W., Yang, C., & Liu, C. (2018). A Survey on Deep Transfer Learning. In The 27th International Conference on Artificial Neural Networks, ICANN 2018. [Paper link] [Paper at Arxiv]
@inproceedings{tan2018survey,
  title={A Survey on Deep Transfer Learning},
  author={Tan, Chuanqi and Sun, Fuchun and Kong, Tao and Zhang, Wenchang and Yang, Chao and Liu, Chunfang},
  booktitle={International Conference on Artificial Neural Networks},
  pages={270--279},
  year={2018},
  organization={Springer}
}
  • Liu, C., Huang, W., Sun, F., Luo, M., & Tan, C. (2019). LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition. IEEE Transactions on Fuzzy Systems, 27(1), 72-83.
  • Tan, C., Sun, F., Zhang, W., & Kong, T. (2018). Electroencephalography Classification in Brain-Computer Interface with Manifold Constraints Transfer. In The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE EMBC 2018. [Paper link]
@inproceedings{tan2018electroencephalography,
  title={Electroencephalography Classification in Brain-Computer Interface with Manifold Constraints Transfer},
  author={Tan, Chuanqi and Sun, Fuchun and Zhang, Wenchang and Kong, Tao},
  booktitle={2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  pages={1058--1061},
  year={2018},
  organization={IEEE}
}
  • Tan, C., Sun, F., Zhang, W., Kong, T., Yang, C., & Zhang, X. (2018). Adaptive Adversarial Transfer Learning for Electroencephalography Classification. In The International Joint Conference on Neural Networks, IJCNN 2018. [Paper link]
@inproceedings{tan2018adaptive,
  title={Adaptive Adversarial Transfer Learning for Electroencephalography Classification},
  author={Tan, Chuanqi and Sun, Fuchun and Zhang, Wenchang and Kong, Tao and Yang, Chao and Zhang, Xinyu},
  booktitle={2018 International Joint Conference on Neural Networks (IJCNN)},
  pages={1--8},
  year={2018},
  organization={IEEE}
}
  • Zhao, J., Zhang, X., Gao, H., Zhou, M., Tan, C., & Chong, X. (2018). DHA: Lidar and Vision data Fusion-based On Road Object Classifier. In The International Joint Conference on Neural Networks, IJCNN 2018.
  • Zhao, J., Zhang, X., Gao, H., Yin, J., Zhou, M., & Tan, C. (2018). Object Detection Based on Hierarchical Multi-view Proposal Network for Autonomous Driving.In The International Joint Conference on Neural Networks, IJCNN 2018.
  • Sun, F., Zhang, W., Chen, J., Wu, H., Tan, C., & Su, W. (2018). Fused Fuzzy Petri Nets: a shared control method for Brain Computer Interface systems. IEEE Transactions on Cognitive and Developmental Systems.
  • Tan, C., Sun, F., & Zhang, W. (2018). Deep Transfer Learning for EEG-based Brain Computer Interface. In The 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE ICASSP 2018. [Paper at Arxiv]
@inproceedings{tan2018deep,
  title={Deep Transfer Learning for EEG-Based Brain Computer Interface},
  author={Tan, Chuanqi and Sun, Fuchun and Zhang, Wenchang},
  booktitle={2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={916--920},
  year={2018},
  organization={IEEE}
}
  • Zhang, W., Sun, F., Liu, C., Su, W., Tan, C., & Liu, S. (2017). A hybrid EEG-based BCI for robot grasp controlling. In The 2017 IEEE International Conference on Systems, Man, and Cybernetics, IEEE SMC 2017.
  • Tan, C., Sun, F., Zhang, W., Chen, J., & Liu, C. (2017). Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography. In The 24th International Conference On Neural Information Processing, ICONIP 2017. Best Student Paper Award. [Paper link] [Paper at Arxiv]
@inproceedings{tan2017multimodal,
  title={Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography},
  author={Tan, Chuanqi and Sun, Fuchun and Zhang, Wenchang and Chen, Jianhua and Liu, Chunfang},
  booktitle={International Conference on Neural Information Processing},
  pages={767--776},
  year={2017},
  organization={Springer}
}
  • Tan, C., Sun, F., Zhang, W., Liu, S., & Liu, C. (2017). Spatial and spectral features fusion for EEG classification during motor imagery in BCI. In Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International Conference on (pp. 309–312). IEEE. [Paper link]
@inproceedings{tan2017spatial,
  title={Spatial and spectral features fusion for EEG classification during motor imagery in bci},
  author={Tan, Chuanqi and Sun, Fuchun and Zhang, Wenchang and Liu, Shaobo and Liu, Chunfang},
  booktitle={Biomedical \& Health Informatics (BHI), 2017 IEEE EMBS International Conference on},
  pages={309--312},
  year={2017},
  organization={IEEE}
}
  • Zhang, W., Sun, F., Tan, C., & Liu, S. (2016). Low-Rank Linear Dynamical Systems for Motor Imagery EEG. Computational Intelligence and Neuroscience, 2016.
  • Zhang, W., Sun, F., Tan, C., & Liu, S. (2016). Linear Dynamical Systems Modeling for EEG-Based Motor Imagery Brain-Computer Interface. In International Conference on Cognitive Systems and Signal Processing (pp. 521–528). Springer.
  • Tan, C., Sun, F., Zhang, W., & Liu, S. (2016). A Synchronous and Closed-Loop Architecture of BCI-Based Rehabilitation System for Stroke with Robot and Virtual Reality. 10.2991/aiie-16.2016.37.
  • Liu, S., Sun, F., Zhang, W., & Tan, C. (2016). SSVEP Recognition using Wavelet Canonical Correlation Analysis for Brain Computer Interface. 10.2991/icsma-16.2016.87.
  • Tan, C., Chen, Y., Li, F., & Yang, Z. (2012). A new method for content-based image retrieval via subsets of key contours fragments. In Advanced Materials Research (Vol. 532, pp. 792–796). Trans Tech Publ.
  • Chen, Y., Tan, C., Li, F., & Zhang, Q. (2012). A Novel and Fast Method for Content-Based Image Retrieval via Stack-Triangles Geometrics Histogram. In Advanced Materials Research (Vol. 341, pp. 785–789). Trans Tech Publ.
  • Wan, Y., Tan, C., Wang, Z., Wang, G., & Hong, X. (2012). An Effective Visual System for Static Analysis of Source Code. In Advanced Materials Research (Vol. 433, pp. 5453–5458). Trans Tech Publ.