Publications

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Papers

2024
  1. Ma, S., Zhang, Y., Chen, Y., Xie, T., Song, S., & Jia, Z. (2024). Exploring structure incentive domain adversarial learning for generalizable sleep stage classification. ACM Transactions on Intelligent Systems and Technology, 15(1), 1–30.
  2. Gao, J., Zhang, Y., Chen, Y., Zhang, T., Tang, B., & Wang, X. (2024). Unsupervised Human Activity Recognition Via Large Language Models and Iterative Evolution. ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 91–95.
  3. Zhang, Y., Guo, C., Chen, Y., Lv, Z., & Li, Q. (2024). Effective Connectivity-Based Multi-View Feature Learning Method for Dementia Diagnosis with FNIRS Signal. ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1721–1725.
  4. Guo, C., Zhang, Y., Chen, Y., Xu, C., & Wang, Z. (2024). Modality Consistency-Guided Contrastive Learning for Wearable-Based Human Activity Recognition. IEEE Internet of Things Journal.
  5. Song, S., Chen, Y., Yu, H., Zhang, Y., & Yang, X. (2024). Review of Human-centered Explainable AI in Healthcare. Journal of Computer-Aided Design & Computer Graphics.
2023
  1. Jiang, B., Zhang, C., Zhong, Y., Liu, Y., Zhang, Y., Wu, X., & Sheng, W. (2023). Adaptive collaborative fusion for multi-view semi-supervised classification. Information Fusion, 96, 37–50.
  2. Chen, R., Hou, B., Zhou, Y., Zhang, T., Wang, Z., Chen, X., Zhang, Y., & Chen, M. (2023). Recurrence after percutaneous radiofrequency ablation of hepatocellular carcinoma: Analysis of the pattern and risk factors. Frontiers in Oncology, 13, 1018715.
  3. Wang, K., Chen, Y., Zhang, Y., Yang, X., & Hu, C. (2023). Iterative self-training based domain adaptation for cross-user semg gesture recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering.
  4. Zeng, B., Yang, X., Chen, Y., Yu, H., Hu, C., & Zhang, Y. (2023). Federated data quality assessment approach: robust learning with mixed label noise. IEEE Transactions on Neural Networks and Learning Systems.
  5. 张迎伟, 杨涵, 宋淑超, 张琪琪, 杨威文, 李万, 张书瑞, 陈益强, & 吕泽平. (2023). 数字医疗在老年医学领域中的应用: 技术与产业进展. 中国临床新医学, 16(12), 1219–1224.
  6. Guo, C., Zhang, Y., Chen, Y., Yang, W., Wu, Q., & Wang, Z. (2023). Time-Frequency Fusion-Augmentation based Contrastive Learning for Self-Supervised Human Activity Recognition. 2023 IEEE Smart World Congress (SWC), 1–8.
  7. Yang, W., Zhang, Y., Chen, Y., Guo, C., Ma, S., & Cheng, S. (2023). Incremental Learning for Cross-User sEMG Gesture Recognition: Overcoming User Forgetting. 2023 IEEE Smart World Congress (SWC), 1–8.
  8. Zhang, Q., Zhang, Y., Ding, Y., Chen, Y., Song, S., & Wu, S. (2023). A Weighted Ensemble Causal Discovery Method for Effective Connectivity Estimation. 2023 IEEE Smart World Congress (SWC), 1–8.
2022
  1. Zhang, Y., Chen, Y., Yu, H., Yang, X., & Lu, W. (2022). Dual layer transfer learning for sEMG-based user-independent gesture recognition. Personal and Ubiquitous Computing, 1–12.
  2. Zhang, Y., Chen, Y., Yang, W., Yu, H., & Lv, Z. (2022). Human-centered intelligent healthcare: explore how to apply AI to assess cognitive health. CCF Transactions on Pervasive Computing and Interaction, 4(3), 189–206.
  3. He, Y., Chen, Y., Yang, X., Zhang, Y., & Zeng, B. (2022). Class-wise adaptive self distillation for federated learning on non-IID data (student abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12967–12968.
  4. He, Y., Chen, Y., Yang, X., Zhang, Y., & Zeng, B. (2022). Class-wise adaptive self distillation for heterogeneous federated learning. Proceedings of the 36th AAAI Conference on Artificial Intelligence, Virtual, 22.
  5. Zeng, B., Yang, X., Chen, Y., Yu, H., & Zhang, Y. (2022). CLC: A consensus-based label correction approach in federated learning. ACM Transactions on Intelligent Systems and Technology (TIST), 13(5), 1–23.
  6. Chen, R., Hou, B., Qiu, S., Shao, S., Yu, Z., Zhou, F., Guo, B., Li, Y., Zhang, Y., & Han, T. (2022). Development and validation of nomogram for predicting survival of primary liver cancers using machine learning. Frontiers in Oncology, 12, 926359.
  7. Wang, K., Chen, Y., Zhang, Y., Yang, X., & Hu, C. (2022). Multi-source integration based transfer learning method for cross-user semg gesture recognition. 2022 International Joint Conference on Neural Networks (IJCNN), 1–8.
2021
  1. Zhang, Y., Chen, Y., Yu, H., Lv, Z., Li, Q., & Yang, X. (2021). Bridging cross-tasks gap for cognitive assessment via fine-grained domain adaptation. Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence, 4330–4337.
  2. Zhang, Y., Chen, Y., Yu, H., Lv, Z., Yang, X., Hu, C., & Zhang, T. (2021). What can “drag & drop” tell? Detecting mild cognitive impairment by hand motor function assessment under dual-task paradigm. International Journal of Human-Computer Studies, 145, 102547.
  3. Zhang, Y., Chen, Y., Yu, H., Yang, X., Sun, R., & Zeng, B. (2021). A feature adaptive learning method for high-density semg-based gesture recognition. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 5(1), 1–26.
2020
  1. Yang, X., Chen, Y., Yu, H., Zhang, Y., Lu, W., & Sun, R. (2020). Instance-wise dynamic sensor selection for human activity recognition. Proceedings of the AAAI Conference on Artificial Intelligence, 34(01), 1104–1111.
  2. Zhang, Y., Chen, Y., Yu, H., Yang, X., & Lu, W. (2020). Learning effective spatial–temporal features for sEMG armband-based gesture recognition. IEEE Internet of Things Journal, 7(8), 6979–6992.
2019
  1. Zhang, Y., Chen, Y., Yu, H., Lv, Z., Shang, P., Ouyang, Y., Yang, X., & Lu, W. (2019). Wearable sensors based automatic box and block test system. 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 952–959.
2018
  1. Yang, X., Chen, Y., Yu, H., & Zhang, Y. (2018). Less annotation on active learning using confidence-weighted predictions. Neurocomputing, 275, 1629–1636.
  2. Zhang, Y., Chen, Y., Yu, H., Yang, X., Lu, W., & Liu, H. (2018). Wearing-independent hand gesture recognition method based on EMG armband. Personal and Ubiquitous Computing, 22, 511–524.
  3. Chen, Y., Zhang, Y., Jiang, X., Zeng, X., Sun, R., & Yu, H. (2018). COSA: Contextualized and objective system to support ADHD diagnosis. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1195–1202.
  4. 杨晓东, 陈益强, 于汉超, 张迎伟, 钟习, 胡子昂, & 刘弘. (2018). 面向帕金森病的多模态异构协同感知方法. 电子学报, 46(3), 659.
2017
  1. 于汉超, 杨晓东, 张迎伟, 钟习, & 陈益强. (2017). 凌空手势识别综述. 科技导报, 35(16), 64–73.
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