Dalin Zhang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 49

Top Topics

Activity Recognition

Top Venues

Proc. VLDB Endow.

IEEE Trans. Knowl. Data Eng.

Publications

Huan Liu, Tianyu Lou, Yuzhe Zhang, Yixiao Wu, Yang Xiao, Christian S. Jensen, Dalin Zhang
EEG-Based Multimodal Emotion Recognition: A Machine Learning Perspective. IEEE Trans. Instrum. Meas. 73 (2024)
Zhichen Lai, Dalin Zhang, Huan Li, Dongxiang Zhang, Hua Lu, Christian S. Jensen
ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions. KDD (2024)
Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series. CoRR (2024)
Weizhu Qian, Yan Zhao, Dalin Zhang, Bowei Chen, Kai Zheng, Xiaofang Zhou
Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen
E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series. WWW (2024)
Mengna Liu, Dong Xiang, Xu Cheng, Xiufeng Liu, Dalin Zhang, Shengyong Chen, Christian S. Jensen
Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data. CoRR (2024)
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)
Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. Proc. ACM Manag. Data 1 (1) (2023)
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)
Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting. CoRR (2023)
Lei Wang, Xingwei Wang, Dalin Zhang, Xiaolei Ma, Yong Zhang, Haipeng Dai, Chenren Xu, Zhijun Li, Tao Gu
Knowing Your Heart Condition Anytime: User-Independent ECG Measurement Using Commercial Mobile Phones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (3) (2023)
Yan Zhao, Jiaxin Liu, Yunchuan Li, Dalin Zhang, Christian S. Jensen, Kai Zheng
Preference-Aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting. Proc. ACM Manag. Data 1 (2) (2023)
Yuzhe Zhang, Huan Liu, Dalin Zhang, Xuxu Chen, Tao Qin, Qinghua Zheng
EEG-Based Emotion Recognition With Emotion Localization via Hierarchical Self-Attention. IEEE Trans. Affect. Comput. 14 (3) (2023)
Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu
Uncertainty Quantification for Traffic Forecasting: A Unified Approach. ICDE (2023)
Enyuan Zhou, Song Guo, Zicong Hong, Christian S. Jensen, Yang Xiao, Dalin Zhang, Jinwen Liang, Qingqi Pei
VeriDKG: A Verifiable SPARQL Query Engine for Decentralized Knowledge Graphs. Proc. VLDB Endow. 17 (4) (2023)
Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Shuai Zhao, Yi Zhang, Huai Wang, Bin Yang
AutoPINN: When AutoML Meets Physics-Informed Neural Networks. CoRR (2022)
Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu
Uncertainty Quantification for Traffic Forecasting: A Unified Approach. CoRR (2022)
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)
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)
Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. CoRR (2022)
Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen
AutoCTS: Automated Correlated Time Series Forecasting. Proc. VLDB Endow. 15 (4) (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. 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)
Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen
AutoCTS: Automated Correlated Time Series Forecasting - Extended Version. CoRR (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)
Xigang Yuan, Xiaoqing Zhang, Dalin Zhang
Research on the Dynamics Game Model in a Green Supply Chain: Government Subsidy Strategies under the Retailer's Selling Effort Level. Complex. 2020 (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)
Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. PerCom (2018)
Xiang Zhang, Lina Yao, Chaoran Huang, Salil S. Kanhere, Dalin Zhang
Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding. CoRR (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)
Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. AAAI (2018)
Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. CoRR (2017)
Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. MobiQuitous (2017)
Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots
EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks. 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)
Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. CoRR (2017)