Kaixuan Chen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Recurrent Neural Networks

Graph Embedding

Activity Recognition

Top Venues

IEEE Signal Process. Lett.

Publications

Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. AAAI (2024)
Dalin Zhang, Christoffer Hansen, Fredrik De Frène, Simon Park Kærgaard, Weizhu Qian, Kaixuan Chen
Automated labeling and online evaluation for self-paced movement detection BCI. Knowl. Based Syst. 265 (2023)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting. CoRR (2023)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. BuildSys@SenSys (2023)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting. ECML/PKDD (7) (2023)
Yan Zhao, Tinghao Lai, Ziwei Wang, Kaixuan Chen, Huan Li, Kai Zheng
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. CoRR (2023)
Dalin Zhang, Lina Yao, Kaixuan Chen, Zheng Yang, Xin Gao, Yunhao Liu
Preventing Sensitive Information Leakage From Mobile Sensor Signals via Integrative Transformation. IEEE Trans. Mob. Comput. 21 (12) (2022)
Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng
A Pattern Discovery Approach to Multivariate Time Series Forecasting. CoRR (2022)
Dalin Zhang, Kaixuan Chen, Yan Zhao, Bin Yang, Lina Yao, Christian S. Jensen
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey. CoRR (2022)
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 Comput. Surv. 54 (4) (2021)
Jonas Brusokas, Torben Bach Pedersen, Laurynas Siksnys, Dalin Zhang, Kaixuan Chen
HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps. e-Energy (2021)
Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities. CoRR (2020)
Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Xiaojun Chang, Yunhao Liu
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. IEEE Trans. Cybern. 50 (7) (2020)
Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. IEEE Trans. Neural Networks Learn. Syst. 31 (5) (2020)
Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao
Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals. IEEE J. Biomed. Health Informatics 24 (9) (2020)
Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu
Multi-agent Attentional Activity Recognition. CoRR (2019)
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. ICDM (2019)
Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu
Multi-agent Attentional Activity Recognition. IJCAI (2019)
Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang
Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. ICDM (2019)
Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. AAAI (2019)
Dalin Zhang, Lina Yao, Kaixuan Chen, Jessica Monaghan
A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis. IEEE Signal Process. Lett. 26 (5) (2019)
Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. CoRR (2018)
Dalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Zheng Yang, Boualem Benatallah
Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition. PAKDD (1) (2018)
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. IJCNN (2018)
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. CoRR (2018)
Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang
Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. CIKM (2018)
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. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (3) (2018)
Xiang Zhang, Lina Yao, Kaixuan Chen, Xianzhi Wang, Quan Z. Sheng, Tao Gu
DeepKey: An EEG and Gait Based Dual-Authentication System. CoRR (2017)
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. CoRR (2017)
Kaixuan Chen, Lina Yao, Tao Gu, Zhiwen Yu, Xianzhi Wang, Dalin Zhang
Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition. CoRR (2017)