Jiang Bian
Orcid: 0000-0001-6997-1989Affiliations:
- Baidu Research, Big Data Laboratory, Beijing, China
- Missouri University of Science and Technology, Department of Computer Science, Rolla, MO, USA
According to our database1,
Jiang Bian
authored at least 41 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
P<sup>2</sup>ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos.
ACM Trans. Multim. Comput. Commun. Appl., April, 2024
Mach. Intell. Res., February, 2024
Data Min. Knowl. Discov., 2024
2023
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.
IEEE Trans. Knowl. Data Eng., December, 2023
IEEE Trans. Intell. Transp. Syst., November, 2023
IEEE Trans. Mob. Comput., September, 2023
Data Min. Knowl. Discov., May, 2023
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation.
IEEE Trans. Serv. Comput., 2023
IEEE Trans. Multim., 2023
CoRR, 2023
Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
GS<sup>2</sup>P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond.
Knowl. Inf. Syst., 2022
IEEE Internet Things J., 2022
P<sup>2</sup>A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos.
CoRR, 2022
2021
IEEE Trans. Multim., 2021
ACM Trans. Knowl. Discov. Data, 2021
CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond.
CoRR, 2021
Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases.
Appl. Intell., 2021
2020
ACM Trans. Knowl. Discov. Data, 2020
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020
2019
$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing.
IEEE Trans. Neural Networks Learn. Syst., 2019
Proceedings of the IEEE Real-Time Systems Symposium, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification.
CoRR, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017