Kaixuan Chen

Publikationer

Publikationer pr. år 2018 2019 2023

• 9 Konferenceartikel i proceeding
• 9 Tidsskriftartikel
• 1 Review (oversigtsartikel)
• 1 Preprint

Publikationer pr. år

Publikationer pr. år

Søgeresultater

• 2023

  Probabilistic Forecasts of Global Horizontal Irradiance for Solar Systems

  Jonler, J. F., Bruno Lottrup, F., Berg, B., Zhang, D. & Chen, K., 1 jan. 2023, I: IEEE Sensors Letters. 7, 1, s. 1-4 4 s., 7000104.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Irradiance 100%
  • Solar System 100%
  • Global Horizontal Irradiance 100%
  • Transformer 45%
  • Solar Energy 36%
  1 Citationer (Scopus)
• 2022

  Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey.

  Zhang, D., Chen, K., Zhao, Y., Yang, B., Yao, L. & Jensen, C. S., 2022, arXiv.

  Publikation: Working paper/Preprint › Preprint

  Åben adgang

  • Deep Learning Model 100%
  • Design Automation 100%
  • Survey 100%
  • Models 100%
  • Deep Learning 60%

• Preventing Sensitive Information Leakage from Mobile Sensor Signals via IntegrativeTransformation

  Zhang, D., Yao, L., Chen, K., Yang, Z., Gao, X. & Liu, Y., 1 dec. 2022, I: IEEE Transactions on Mobile Computing. 21, 12, s. 4517-4528 12 s., 9424974.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  Åben adgang

  Fil

  • Mobile Sensor 100%
  • Information Leakage 100%
  • Sensitive Informations 100%
  • Sensor 80%
  • Human Activity 60%
  33 Downloads (Pure)
• 2021

  Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities

  Chen, K., Zhang, D., Yao, L., Guo, B., Yu, Z. & Liu, Y., jul. 2021, I: ACM Computing Surveys. 54, 4, s. 1-40 40 s., 77.

  Publikation: Bidrag til tidsskrift › Review (oversigtsartikel) › peer review

  • Human Activity 100%
  • Deep Learning 100%
  • Activity Recognition 100%
  • Sensor 100%
  • Future Direction 25%
  228 Citationer (Scopus)

• HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps

  Brusokas, J., Pedersen, T. B., Siksnys, L., Zhang, D. & Chen, K., 22 jun. 2021, e-Energy '21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems. New York: Association for Computing Machinery, s. 160-170 11 s.

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  Åben adgang

  Fil

  • Machine Learning 100%
  • Heat Pump 100%
  • Flexibility 100%
  • Prediction 100%
  • Temperature 44%
  5 Citationer (Scopus)

  80 Downloads (Pure)
• 2020

  A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition

  Chen, K., Yao, L., Zhang, D., Wang, X., Chang, X. & Nie, F., maj 2020, I: IEEE Transactions on Neural Networks and Learning Systems. 31, 5, s. 1747-1756 10 s., 8767027.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Human Activity 100%
  • Activity Recognition 100%
  • Models 100%
  • Classes 50%
  • Semisupervised Learning 50%
  196 Citationer (Scopus)

• Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition

  Zhang, D., Yao, L., Chen, K., Wang, S., Chang, X. & Liu, Y., jul. 2020, I: IEEE Transactions on Cybernetics. 50, 7, s. 3033-3044 12 s., 8698218.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Electroencephalography 100%
  • Intention 100%
  • Recognition 100%
  • Representation 100%
  • Brain-Computer Interface 44%
  174 Citationer (Scopus)

• Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals

  Zhang, D., Chen, K., Jian, D. & Yao, L., sep. 2020, I: IEEE Journal of Biomedical and Health Informatics. 24, 9, s. 2570-2579 10 s., 8961150.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Classification 100%
  • Models 100%
  • Electroencephalography 100%
  • User 33%
  • Learning Process 16%
  62 Citationer (Scopus)
• 2019

  A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis

  Zhang, D., Yao, L., Chen, K. & Monaghan, J., maj 2019, I: IEEE Signal Processing Letters. 26, 5, s. 715-719 5 s., 8675451.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Analysis Signal 100%
  • Models 100%
  • Electroencephalogram 100%
  • Brain-Computer Interface 37%
  • User 25%
  101 Citationer (Scopus)

• A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis

  Zhang, D., Yao, L., Chen, K. & Monaghan, J., maj 2019, I: IEEE Signal Processing Letters. 26, 5, s. 715-719 5 s., 8675451.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Analysis Signal 100%
  • Models 100%
  • Electroencephalogram 100%
  • Brain-Computer Interface 37%
  • User 25%
  101 Citationer (Scopus)

• A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals

  Zhang, D., Yao, L., Chen, K., Wang, S., Haghighi, P. D. & Sullivan, C., nov. 2019, I: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27, 11, s. 2247-2253 7 s., 8847648.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Detection 100%
  • Models 100%
  • Intention 100%
  • Electroencephalography 100%
  • User 50%
  33 Citationer (Scopus)

• A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals

  Zhang, D., Yao, L., Chen, K., Wang, S., Haghighi, P. D. & Sullivan, C., nov. 2019, I: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27, 11, s. 2247-2253 7 s., 8847648.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Detection 100%
  • Models 100%
  • Intention 100%
  • Electroencephalography 100%
  • User 50%
  33 Citationer (Scopus)

• Collective protection: Preventing sensitive inferences via integrative transformation

  Zhang, D., Yao, L., Chen, K., Long, G. & Wang, S., nov. 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (red.). IEEE, s. 1498-1503 6 s. 8970834. (Proceedings - IEEE International Conference on Data Mining, ICDM, Bind 2019-November).

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  • Sensitive Informations 100%
  • Protection 100%
  • Transformations 100%
  • User 37%
  • Sensor 37%
  9 Citationer (Scopus)

• Distributionally robust semi-supervised learning for people-centric sensing

  Chen, K., Yao, L., Zhang, D., Chang, X., Long, G. & Wang, S., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI Press, s. 3321-3328 8 s. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  • Semisupervised Learning 100%
  • Models 75%
  • Real World 25%
  • Gesture Recognition 25%
  • Activity Recognition 25%
  27 Citationer (Scopus)

• Learning attentional temporal cues of brainwaves with spatial embedding for motion intent detection

  Zhang, D., Chen, K., Jian, D., Yao, L., Wang, S. & Li, P., nov. 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (red.). IEEE, s. 1450-1455 6 s. 8970671. (Proceedings - IEEE International Conference on Data Mining, ICDM, Bind 2019-November).

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  • Detection 100%
  • Intents 100%
  • Embedding 100%
  • Models 100%
  • Learning Process 25%
  8 Citationer (Scopus)

• Multi-agent attentional activity recognition

  Chen, K., Yao, L., Zhang, D., Guo, B. & Yu, Z., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (red.). International Joint Conferences on Artificial Intelligence, s. 1344-1350 7 s. (IJCAI International Joint Conference on Artificial Intelligence, Bind 2019-August).

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  Åben adgang

  • Activity Recognition 100%
  • Models 100%
  • Real World 25%
  • Human Activity 25%
  • Experimental Result 25%
  19 Citationer (Scopus)

• Multi-agent attentional activity recognition

  Chen, K., Yao, L., Zhang, D., Guo, B. & Yu, Z., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (red.). International Joint Conferences on Artificial Intelligence, s. 1344-1350 7 s. (IJCAI International Joint Conference on Artificial Intelligence, Bind 2019-August).

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  Åben adgang

  • Activity Recognition 100%
  • Models 100%
  • Real World 25%
  • Human Activity 25%
  • Experimental Result 25%
  19 Citationer (Scopus)
• 2018

  Fuzzy integral optimization with deep Q-network for EEG-based intention recognition

  Zhang, D., Yao, L., Wang, S., Chen, K., Yang, Z. & Benatallah, B., 2018, Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Proceedings. Phung, D., Webb, G. I., Ho, B., Tseng, V. S., Ganji, M. & Rashidi, L. (red.). Physica-Verlag, s. 156-168 13 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 10937 LNAI).

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  • Optimization 100%
  • Temporal Feature 100%
  • Deep Reinforcement Learning 100%
  • Networks 100%
  • Feature Extraction 100%
  9 Citationer (Scopus)

• Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling

  Chen, K., Yao, L., Wang, X., Zhang, D., Gu, T., Yu, Z. & Yang, Z., 10 okt. 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. IEEE, 8489767. (Proceedings of the International Joint Conference on Neural Networks, Bind 2018-July).

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  • Multimodality 100%
  • Recurrent Neural Network 100%
  • Modeling 100%
  • Models 100%
  • Human Activity 33%
  24 Citationer (Scopus)

• Ready for use: Subject-independent movement intention recognition via a convolutional attention model

  Zhang, D., Chen, K., Yao, L. & Wang, S., 17 okt. 2018, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (red.). Association for Computing Machinery, s. 1763-1766 4 s. (International Conference on Information and Knowledge Management, Proceedings).

  Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

  • Intention 100%
  • Recognition 100%
  • Electroencephalography 100%
  • Models 100%
  • Brain-Computer Interface 50%
  16 Citationer (Scopus)