DeepKey: An EEG and Gait Based Dual-Authentication System. - Xiang Zhang 012; Lina Yao 001; Kaixuan Chen 001; Xianzhi Wang 001; Quan Z. Sheng; Tao Gu 001 (CoRR, 2017)

Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition. - Kaixuan Chen 001; Lina Yao 001; Tao Gu 001; Zhiwen Yu 001; Xianzhi Wang 001; Dalin Zhang 001 (CoRR, 2017)

Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Sen Wang 001 (CIKM, 2018)

Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. - Kaixuan Chen 001; Lina Yao 001; Xianzhi Wang 001; Dalin Zhang 001; Tao Gu 001; Zhiwen Yu 001; Zheng Yang 002 (IJCNN, 2018)

Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition. - Dalin Zhang 001; Lina Yao 001; Sen Wang 001; Kaixuan Chen 001; Zheng Yang 002; Boualem Benatallah (PAKDD (1), 2018)

MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. - Xiang Zhang 012; Lina Yao 001; Salil S. Kanhere; Yunhao Liu 001; Tao Gu 001; Kaixuan Chen 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. - Kaixuan Chen 001; Lina Yao 001; Dalin Zhang 001; Xiaojun Chang; Guodong Long; Sen Wang 001 (AAAI, 2019)

Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection. - Dalin Zhang 001; Kaixuan Chen 001; Debao Jian; Lina Yao 001; Sen Wang 001; Po Li (ICDM, 2019)

Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Guodong Long; Sen Wang 001 (ICDM, 2019)

Multi-agent Attentional Activity Recognition. - Kaixuan Chen 001; Lina Yao 001; Dalin Zhang 001; Bin Guo 001; Zhiwen Yu 001 (IJCAI, 2019)

A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Jessica Monaghan (IEEE Signal Process. Lett., 2019)

Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Sen Wang 001; Xiaojun Chang; Yunhao Liu 001 (IEEE Trans. Cybern., 2020)

Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals. - Dalin Zhang 001; Kaixuan Chen 001; Debao Jian; Lina Yao 001 (IEEE J. Biomed. Health Informatics, 2020)

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. - Kaixuan Chen 001; Lina Yao 001; Dalin Zhang 001; Xianzhi Wang 001; Xiaojun Chang; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Multi-modal Human Behavior Understanding. - Kaixuan Chen 001 (2020)

HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps. - Jonas Brusokas; Torben Bach Pedersen; Laurynas Siksnys; Dalin Zhang 001; Kaixuan Chen 001 (e-Energy, 2021)

Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey. - Dalin Zhang 001; Kaixuan Chen 001; Yan Zhao 008; Bin Yang 002; Lina Yao 001; Christian S. Jensen (CoRR, 2022)

A Pattern Discovery Approach to Multivariate Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Kaixuan Chen 001; Kai Zhao 009; Bin Yang 002; Jiandong Xie; Christian S. Jensen; Feiteng Huang; Kai Zheng 001 (CoRR, 2022)

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities. - Kaixuan Chen 001; Dalin Zhang 001; Lina Yao 001; Bin Guo 001; Zhiwen Yu 001; Yunhao Liu 001 (ACM Comput. Surv., 2022)

Preventing Sensitive Information Leakage From Mobile Sensor Signals via Integrative Transformation. - Dalin Zhang 001; Lina Yao 001; Kaixuan Chen 001; Zheng Yang 002; Xin Gao 001; Yunhao Liu 001 (IEEE Trans. Mob. Comput., 2022)

Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting. - Arian Prabowo; Kaixuan Chen 001; Hao Xue 001; Subbu Sethuvenkatraman; Flora D. Salim (ECML/PKDD (7), 2023)

Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. - Arian Prabowo; Kaixuan Chen 001; Hao Xue 001; Subbu Sethuvenkatraman; Flora D. Salim (BuildSys, 2023)

Automated labeling and online evaluation for self-paced movement detection BCI. - Dalin Zhang 001; Christoffer Hansen; Fredrik De Frène; Simon Park Kærgaard; Weizhu Qian; Kaixuan Chen 001 (Knowl. Based Syst., 2023)

Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing. - Yan Zhao 008; Tinghao Lai; Ziwei Wang; Kaixuan Chen 001; Huan Li 003; Kai Zheng 001 (IEEE Trans. Knowl. Data Eng., 2023)

KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. - Zhen Chen; Dalin Zhang 001; Shanshan Feng 001; Kaixuan Chen 001; Lisi Chen 001; Peng Han 005; Shuo Shang (AAAI, 2024)

Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Kaixuan Chen 001; Kai Zhao 009; Bin Yang 002; Jiandong Xie; Christian S. Jensen; Feiteng Huang; Kai Zheng 001 (IEEE Trans. Knowl. Data Eng., 2025)