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ORCIDKaixuan Chen 0001
Person information
- affiliation: Aalborg University, Department of Computer Science, Denmark
- affiliation: University of New South Wales, School of Computer Science and Engineering, Sydney, NSW, Australia
Other persons with the same name
- Kaixuan Chen 0002
![[0000-0003-3606-6661]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3606-6661")
— Tsinghua University, Department of Electrical Engineering, Beijing, China - Kaixuan Chen 0003 — Sun Yat-sen University, School of Mathematics, Guangzhou, China
- Kai-Xuan Chen 0001 (aka: Kaixuan Chen 0004) — Zhejiang University, College of Computer Science and Technology, Hangzhou, China (and 1 more)
- Kaixuan Chen 0005 — Anhui University, School of Electrical Engineering and Automation, Hefei, China
- Kaixuan Chen 0006 — Xiamen University, School of Informatics, China
- Kaixuan Chen 0007 — Tianjin University, MoE Key Laboratory of Mechanism Theory and Equipment Design, China
- Kaixuan Chen 0008 — Foshan University, China
- Kaixuan Chen 0009 — Nanjing Agricultural University, China
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Books and Theses
- 2020
[b1]Kaixuan Chen:
Multi-modal Human Behavior Understanding. University of New South Wales, Sydney, Australia, 2020
Journal Articles
- 2023
- [j9]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: 110383 (2023) - [j8]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): 9783-9796 (2023) - 2022
- [j7]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): 77:1-77:40 (2022) - [j6]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): 4517-4528 (2022) - 2020
- [j5]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): 3033-3044 (2020) - [j4]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): 2570-2579 (2020) - [j3]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): 1747-1756 (2020) - 2019
- [j2]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): 715-719 (2019) - 2018
- [j1]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): 149:1-149:23 (2018)
Conference and Workshop Papers
- 2024
- [c11]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: 8311-8319 - 2023
- [c10]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: 3-19 - [c9]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: 41-50 - 2021
- [c8]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: 160-170 - 2019
- [c7]Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. AAAI 2019: 3321-3328 - [c6]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: 1450-1455 - [c5]Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang:
Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. ICDM 2019: 1498-1503 - [c4]Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu:
Multi-agent Attentional Activity Recognition. IJCAI 2019: 1344-1350 - 2018
- [c3]Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang:
Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. CIKM 2018: 1763-1766 - [c2]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: 1-8 - [c1]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: 156-168
Informal and Other Publications
- 2023
- [i11]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting. CoRR abs/2306.06385 (2023) - [i10]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 abs/2309.04296 (2023) - 2022
- [i9]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 abs/2208.10498 (2022) - [i8]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 abs/2212.10306 (2022) - 2020
- [i7]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 abs/2001.07416 (2020) - 2019
- [i6]Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu:
Multi-agent Attentional Activity Recognition. CoRR abs/1905.08948 (2019) - 2018
- [i5]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 abs/1805.07233 (2018) - [i4]Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. CoRR abs/1811.05299 (2018) - 2017
- [i3]Xiang Zhang, Lina Yao, Kaixuan Chen, Xianzhi Wang, Quan Z. Sheng, Tao Gu:
DeepKey: An EEG and Gait Based Dual-Authentication System. CoRR abs/1706.01606 (2017) - [i2]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 abs/1711.06149 (2017) - [i1]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 abs/1711.07661 (2017)
Coauthor Index
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