Dalin Zhang

2024

E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series

Lai, Z., Li, H., Zhang, D., Zhao, Y., Qian, W. & Jensen, C. S., 13 maj 2024, WWW 2024 - Proceedings of the ACM Web Conference. Singapore Singapore: Association for Computing Machinery, s. 3010 - 3021 12 s.

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4 Citationer (Scopus)

LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced with Model Distillation

Lai, Z., Zhang, D., Li, H., Jensen, C. S., Lu, H. & Zhao, Y., 2024, I: IEEE Transactions on Knowledge and Data Engineering. 36, 12, s. 8695 - 8710 16 s.

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ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions

Lai, Z., Zhang, D., Li, H., Zhang, D., Lu, H. & Jensen, C. S., 25 aug. 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, s. 1474-1483 10 s.

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2023

AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting.

Wu, X., Zhang, D., Zhang, M., Guo, C., Yang, B. & Jensen, C. S., 2023, I: Proceedings of the ACM on Management of Data. 1, 1, s. 97:1-97:26

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AutoEER: Automatic EEG-based emotion recognition with neural architecture search

Wu, Y., Liu, H., Zhang, D., Zhang, Y., Lou, T. & Zheng, Q., 14 aug. 2023, I: Journal of Neural Engineering. 20, 4, 046029.

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7 Citationer (Scopus)

Automated labeling and online evaluation for self-paced movement detection BCI

Zhang, D., Hansen, C., De Frène, F., Kærgaard, S. P., Qian, W. & Chen, K., 8 apr. 2023, I: Knowledge-Based Systems. 265, 110383.

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4 Citationer (Scopus)

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EEG-Based Emotion Recognition With Emotion Localization via Hierarchical Self-Attention

Zhang, Y., Liu, H., Zhang, D., Chen, X., Qin, T. & Zheng, Q., 1 jul. 2023, I: IEEE Transactions on Affective Computing. 14, 3, s. 2458-2469 12 s.

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25 Citationer (Scopus)

Knowing Your Heart Condition Anytime: User-Independent ECG Measurement Using Commercial Mobile Phones

Wang, L., Wang, X., Zhang, D., Ma, X., Zhang, Y., Dai, H., Xu, C., Li, Z. & Gu, T., 27 sep. 2023, I: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 7, 3, s. 1-28 131.

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2 Citationer (Scopus)

LightCTS: A Lightweight Framework for Correlated Time Series Forecasting

Lai, Z., Zhang, D., Li, H., Jensen, C. S., Lu, H. & Zhao, Y., 2023, I: Proceedings of the ACM on Management of Data. 1, 2, s. 1-26 26 s., 125.

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LightCTS: A Lightweight Framework for Correlated Time Series Forecasting

Lai, Z., Zhang, D., Li, H., Jensen, C. S., Lu, H. & Zhao, Y., 2023, arXiv, 15 s.

Publikation: Working paper/Preprint › Preprint

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Logistics Service Selection Strategy of Green Manufacturers in Green Low-Carbon Supply Chain

Yuan, X., Sheng, W., Wang, M. & Zhang, D., 14 feb. 2023, I: International Journal of Environmental Research and Public Health. 20, 4, 3356.

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1 Citationer (Scopus)

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Preference-aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency

Zhao, Y., Liu, J., Li, Y., Zhang, D., Jensen, C. S. & Zheng, K., 1 okt. 2023, I: I E E E Transactions on Knowledge & Data Engineering. 35, 10, s. 10722-10734 13 s.

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3 Citationer (Scopus)

Probabilistic Forecasts of Global Horizontal Irradiance for Solar Systems

Jonler, J. F., Bruno Lottrup, F., Berg, B., Zhang, D. & Chen, K., 1 jan. 2023, I: IEEE Sensors Letters. 7, 1, s. 1-4 4 s., 7000104.

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7 Citationer (Scopus)

Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting

Qian, W., Zhao, Y., Zhang, D., Chen, B., Zheng, K. & Zhou, X., 6 sep. 2023, I: IEEE Transactions on Knowledge and Data Engineering. 36, 5, s. 1-18 18 s., 10242138.

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Uncertainty Quantification for Traffic Forecasting: A Unified Approach

Qian, W., Zhang, D., Zhao, Y., Zheng, K. & Yu, J. J. Q., 2023, Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023. IEEE Computer Society Press, s. 992-1004 13 s. (Proceedings of the International Conference on Data Engineering).

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13 Citationer (Scopus)

VeriDKG: A Verifiable SPARQL Query Engine for Decentralized Knowledge Graphs

Zhou, E., Guo, S., Hong, Z., Jensen, C. S., Xiao, Y., Zhang, D., Liang, J. & Pei, Q., dec. 2023, I: Proceedings of the VLDB Endowment. 17, 4, s. 912-925 14 s.

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2022

Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey.

Zhang, D., Chen, K., Zhao, Y., Yang, B., Yao, L. & Jensen, C. S., 2022, arXiv.

Publikation: Working paper/Preprint › Preprint

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Effects of a Mixed Emissions Control Policy on the Manufacturer’s Production and Carbon Abatement Investment Decisions

Wang, F. & Zhang, D., 18 okt. 2022, I: International Journal of Environmental Research and Public Health. 19, 20, 13472.

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1 Citationer (Scopus)

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Optimal Decisions in Green, Low-Carbon Supply Chain Considering the Competition and Cooperation Relationships between Different Types of Manufacturers

Zhang, X., Chen, W., Wang, M. & Zhang, D., 16 nov. 2022, I: International Journal of Environmental Research and Public Health. 19, 22, 15111.

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Preventing Sensitive Information Leakage from Mobile Sensor Signals via IntegrativeTransformation

Zhang, D., Yao, L., Chen, K., Yang, Z., Gao, X. & Liu, Y., 1 dec. 2022, I: IEEE Transactions on Mobile Computing. 21, 12, s. 4517-4528 12 s., 9424974.

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4 Citationer (Scopus)

128 Downloads (Pure)

Quantifying the Bullwhip Effect in a Reverse Supply Chain: The Impact of Different Forecasting Methods

Yuan, X., Zhang, X., Wang, M. & Zhang, D., 2022, I: Mathematical Problems in Engineering. 2022, 2701530.

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2 Citationer (Scopus)

43 Downloads (Pure)

2021

AutoCTS: Automated Correlated Time Series Forecasting

Wu, X., Zhang, D., Guo, C., He, C., Yang, B. & Jensen, C. S., dec. 2021, I: Proceedings of the VLDB Endowment. 15, 4, s. 971-983

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43 Citationer (Scopus)

423 Downloads (Pure)

AutoCTS - Automated Correlated Time Series Forecasting - Extended Version.

Wu, X., Zhang, D., Guo, C., He, C., Yang, B. & Jensen, C. S., 2021

Publikation: Andet › Andet bidrag › Forskning

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Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities

Chen, K., Zhang, D., Yao, L., Guo, B., Yu, Z. & Liu, Y., jul. 2021, I: ACM Computing Surveys. 54, 4, s. 1-40 40 s., 77.

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456 Citationer (Scopus)

Effects of government subsidies on production and emissions reduction decisions under carbon tax regulation and consumer low‐carbon awareness

Wang, W., Wang, Y., Zhang, X. & Zhang, D., 1 okt. 2021, I: International Journal of Environmental Research and Public Health. 18, 20, 10959.

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23 Citationer (Scopus)

88 Downloads (Pure)

Green remanufacturer’s mixed collection channel strategy considering enterprise’s environmental responsibility and the fairness concern in reverse green supply chain

Yuan, X., Tang, F., Zhang, D. & Zhang, X., 1 apr. 2021, I: International Journal of Environmental Research and Public Health. 18, 7, 18 s., 3405.

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11 Citationer (Scopus)

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HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps

Brusokas, J., Pedersen, T. B., Siksnys, L., Zhang, D. & Chen, K., 22 jun. 2021, e-Energy '21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems. New York: Association for Computing Machinery (ACM), s. 160-170 11 s.

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7 Citationer (Scopus)

212 Downloads (Pure)

2020

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition

Chen, K., Yao, L., Zhang, D., Wang, X., Chang, X. & Nie, F., maj 2020, I: IEEE Transactions on Neural Networks and Learning Systems. 31, 5, s. 1747-1756 10 s., 8767027.

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302 Citationer (Scopus)

Making more sense of human intention detection via reconstruction models

Liang, W., Zhang, D. & Yuan, X., jul. 2020, I: China Communications. 17, 7, s. 193-206 14 s., 9147143.

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1 Citationer (Scopus)

Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition

Zhang, D., Yao, L., Chen, K., Wang, S., Chang, X. & Liu, Y., jul. 2020, I: IEEE Transactions on Cybernetics. 50, 7, s. 3033-3044 12 s., 8698218.

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273 Citationer (Scopus)

Research on Closed-Loop Supply Chain with Competing Retailers under Government Reward-Penalty Mechanism and Asymmetric Information

Zhang, X. Q., Yuan, X. G. & Zhang, D. L., 2020, I: Discrete Dynamics in Nature and Society. 2020, 7587453.

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14 Citationer (Scopus)

Research on the Dynamics Game Model in a Green Supply Chain: Government Subsidy Strategies under the Retailer's Selling Effort Level

Yuan, X., Zhang, X. & Zhang, D., 2020, I: Complexity. 2020, 3083761.

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13 Citationer (Scopus)

2019

A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis

Zhang, D., Yao, L., Chen, K. & Monaghan, J., maj 2019, I: IEEE Signal Processing Letters. 26, 5, s. 715-719 5 s., 8675451.

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156 Citationer (Scopus)

A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis

Zhang, D., Yao, L., Chen, K. & Monaghan, J., maj 2019, I: IEEE Signal Processing Letters. 26, 5, s. 715-719 5 s., 8675451.

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156 Citationer (Scopus)

A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals

Zhang, D., Yao, L., Chen, K., Wang, S., Haghighi, P. D. & Sullivan, C., nov. 2019, I: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27, 11, s. 2247-2253 7 s., 8847648.

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50 Citationer (Scopus)

A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals

Zhang, D., Yao, L., Chen, K., Wang, S., Haghighi, P. D. & Sullivan, C., nov. 2019, I: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27, 11, s. 2247-2253 7 s., 8847648.

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50 Citationer (Scopus)

Collective protection: Preventing sensitive inferences via integrative transformation

Zhang, D., Yao, L., Chen, K., Long, G. & Wang, S., nov. 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (red.). IEEE (Institute of Electrical and Electronics Engineers), s. 1498-1503 6 s. 8970834. (Proceedings - IEEE International Conference on Data Mining, ICDM, Bind 2019-November).

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10 Citationer (Scopus)

Distributionally robust semi-supervised learning for people-centric sensing

Chen, K., Yao, L., Zhang, D., Chang, X., Long, G. & Wang, S., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI Press, s. 3321-3328 8 s. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

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34 Citationer (Scopus)

Learning attentional temporal cues of brainwaves with spatial embedding for motion intent detection

Zhang, D., Chen, K., Jian, D., Yao, L., Wang, S. & Li, P., nov. 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (red.). IEEE (Institute of Electrical and Electronics Engineers), s. 1450-1455 6 s. 8970671. (Proceedings - IEEE International Conference on Data Mining, ICDM, Bind 2019-November).

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10 Citationer (Scopus)

Multi-agent attentional activity recognition

Chen, K., Yao, L., Zhang, D., Guo, B. & Yu, Z., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (red.). International Joint Conferences on Artificial Intelligence, s. 1344-1350 7 s. (IJCAI International Joint Conference on Artificial Intelligence, Bind 2019-August).

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22 Citationer (Scopus)

Multi-agent attentional activity recognition

Chen, K., Yao, L., Zhang, D., Guo, B. & Yu, Z., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (red.). International Joint Conferences on Artificial Intelligence, s. 1344-1350 7 s. (IJCAI International Joint Conference on Artificial Intelligence, Bind 2019-August).

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22 Citationer (Scopus)

2018

Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface

Zhang, D., Yao, L., Zhang, X., Wang, S., Chen, W. & Boots, R., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, s. 1703-1710 8 s. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

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123 Citationer (Scopus)

Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals

Zhang, X., Yao, L., Sheng, Q. Z., Kanhere, S. S., Gu, T. & Zhang, D., 22 aug. 2018, 2018 IEEE International Conference on Pervasive Computing and Communications, PerCom 2018. IEEE (Institute of Electrical and Electronics Engineers), 8444575. (2018 IEEE International Conference on Pervasive Computing and Communications, PerCom 2018).

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69 Citationer (Scopus)

Fuzzy integral optimization with deep Q-network for EEG-based intention recognition

Zhang, D., Yao, L., Wang, S., Chen, K., Yang, Z. & Benatallah, B., 2018, Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Proceedings. Phung, D., Webb, G. I., Ho, B., Tseng, V. S., Ganji, M. & Rashidi, L. (red.). Physica-Verlag, s. 156-168 13 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 10937 LNAI).

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13 Citationer (Scopus)

Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling

Chen, K., Yao, L., Wang, X., Zhang, D., Gu, T., Yu, Z. & Yang, Z., 10 okt. 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. IEEE (Institute of Electrical and Electronics Engineers), 8489767. (Proceedings of the International Joint Conference on Neural Networks, Bind 2018-July).

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28 Citationer (Scopus)

Ready for use: Subject-independent movement intention recognition via a convolutional attention model

Zhang, D., Chen, K., Yao, L. & Wang, S., 17 okt. 2018, CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management. Paton, N., Candan, S., Wang, H., Allan, J., Agrawal, R., Labrinidis, A., Cuzzocrea, A., Zaki, M., Srivastava, D., Broder, A. & Schuster, A. (red.). Association for Computing Machinery (ACM), s. 1763-1766 4 s. (International Conference on Information and Knowledge Management, Proceedings).

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20 Citationer (Scopus)

2017

Multi-person brain activity recognition via comprehensive EEG signal analysis

Zhang, X., Yao, L., Zhang, D., Wang, X., Sheng, Q. Z. & Gu, T., 7 nov. 2017, 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017. Association for Computing Machinery (ACM), s. 28-37 10 s. (ACM International Conference Proceeding Series).

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58 Citationer (Scopus)

2016

Defect-free GeSn alloy strips on Si by Sn self-catalyzed MBE method

Yu, K., Zhang, D. L., Cong, H., Zhang, X., Zhao, Y., Cheng, B. W. & Li, C. B., 8 nov. 2016, 2016 IEEE 13th International Conference on Group IV Photonics, GFP 2016. IEEE Computer Society Press, s. 34-35 2 s. 7739080. (IEEE International Conference on Group IV Photonics GFP, Bind 2016-November).

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3 Citationer (Scopus)

2015

A binder-free Si-based anode for Li-ion batteries

Zhang, C., Yang, F., Zhang, D., Zhang, X., Xue, C., Zuo, Y., Li, C., Cheng, B. & Wang, Q., 2015, I: RSC Advances. 5, 21, s. 15940-15943 4 s.

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17 Citationer (Scopus)

Sn-Guided Defect-Free GeSn Lateral Growth on Si by Molecular Beam Epitaxy

Zhang, D., Liu, Z., Zhang, D., Zhang, X., Zhang, J., Zheng, J., Zuo, Y., Xue, C., Li, C., Oda, S., Cheng, B. & Wang, Q., 6 aug. 2015, I: Journal of Physical Chemistry C. 119, 31, s. 17842-17847 6 s.

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14 Citationer (Scopus)

Dalin Zhang

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