Refereed Journal Papers

2021

  1. Kaixuan Chen*, Dalin Zhang*, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu, Deep learning for sensor-based human activity recognition: overview, challenges and opportunities. ACM Computing Surveys (CUSR). (co-first author) (IF=7.99, JCR Q1, SJR Q1, Core A*)
  2. Dalin Zhang, Lina Yao, Kaixuan Chen, Zheng Yang, Xin Gao, Yunhao Liu, Preventing Sensitive Information Leakage from Mobile Sensor Signals via Integrative Transformation. IEEE Transactions on Mobile Computing (TMC). (IF=5.112, JCR Q1, SJR Q1, Core A*)

2020

  1. Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals. IEEE Journal of Biomedical and Health Informatics (JBHI). accepted (IF=4.217, JCR Q1, SJR Q1, Core A*)

2019

  1. Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie, A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. IEEE Transactions on Neural Network and Learning System (TNNLS). (IF=11.683, JCR Q1, CCF: B, SJR Q1, Core A*)
  2. Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Haghighi Pari, Sullivan Caley, A Graph-based Hierarchical Attention Model for Movement Intention Detection from EEG Signals. IEEE Transactions on Neural System and Rehabilitation Engineering (TNSRE). accepted (IF=3.972, JCR Q1, SJR Q1, Core A*)
  3. Dalin Zhang, Lina Yao, Kaixuan Chen, Jessica Monaghan, A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis. IEEE Signal Processing Letters (SPL). 26, no. 5 (2019): 715-719. (IF=3.286, JCR Q2, CCF: C, SJR Q1, Core A)
  4. Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Xiaojun Chang, Yunhao Liu, Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognitionn. IEEE Transactions on Cybernetics (TCYB). (IF=10.387, JCR Q1, CCF: B, SJR Q1, Core A)

2018

  1. Xiang Zhang, Lina Yao, Salil S.Kanhere, Yunhao Liu, Tao Gu, Kaixuan Chen, MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). (CCF: A, Core A*)

Refereed Conference Papers

2019

  1. Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu, Multi-agent Attentional Activity Recognition . The 28th International Joint Conference on Artificial Intelligence (IJCAI-19). Macao, China, August 10-16 2019 (CORE: A*, CCF: A)
  2. Kaixuan Chen, Lina Yao, Dalin Zhang, Sen Wang, Xiaojun Chang, Yunhao Liu, Distributionally Robust Semi-Supervised Learning for People-Centric Sensing The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). Honolulu, Hawaii, USA, January 27-February 1 2019 (CORE: A*, CCF: A)
  3. Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, Po Li, Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection . The 19th IEEE International Conference on Data Mining (ICDM-19). Beijing, China, November 8-11 2019 (CORE: A*, CCF: B)
  4. Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang, Collective Protection: Preventing Sensitive Inferences via Integrative Transformation . The 19th IEEE International Conference on Data Mining (ICDM-19). Beijing, China, November 8-11 2019 (CORE: A*, CCF: B)

2018

  1. Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang, Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. The 2018 International Joint Conference on Neural Networks (IJCNN-18). Rio de Janeiro, Brazil, July 8 - 13 2018 (CORE: A, CCF: C)
  2. Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Ready for Use: Subject-Independent Movement Intention Recognition via A Convolutional Attention Model. The 27th ACM International Conference on Information and Knowledge Management (CIKM-19). Lingotto, Turin, Italy, July 22 - 26 2018 (CORE: A, CCF: B)
  3. Dalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Boualem Benatallah, Fuzzy Integral Optimization with Deep Q-Network for EEG-based Intention Recognition. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-18). Melbourne, Australia, June 3 - 6 2018 (CORE: A, CCF: C)