Wanting Ji

Orcid: 0009-0002-8435-5660

According to our database1, Wanting Ji authored at least 34 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Convolutional transformer network for fine-grained action recognition.
Neurocomputing, February, 2024

Author Correction to: A composite blockchain associated event traceability method for financial activities.
Peer Peer Netw. Appl., January, 2024

Document-level multi-task learning approach based on coreference-aware dynamic heterogeneous graph network for event extraction.
Neural Comput. Appl., January, 2024

2023
A composite blockchain associated event traceability method for financial activities.
Peer Peer Netw. Appl., August, 2023

Fine-Grained Entity Typing With a Type Taxonomy: A Systematic Review.
IEEE Trans. Knowl. Data Eng., May, 2023

Fine-grained document-level financial event argument extraction approach.
Eng. Appl. Artif. Intell., May, 2023

Multi-head attention-based two-stream EfficientNet for action recognition.
Multim. Syst., April, 2023

Spatial and temporal saliency based four-stream network with multi-task learning for action recognition.
Appl. Soft Comput., 2023

CDKN2A/B gene classification method for glioma with attention ConvNeXt.
Proceedings of the 3rd International Conference on Bioinformatics and Intelligent Computing, 2023

A Chinese Named Entity Recognition Method Based on Textual Information Perception Fusion.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Document-Level Relation Extraction with Relational Reasoning and Heterogeneous Graph Neural Networks.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Neural Attentional Relation Extraction with Dual Dependency Trees.
J. Comput. Sci. Technol., 2022

Spatial-temporal interaction learning based two-stream network for action recognition.
Inf. Sci., 2022

An attention based dual learning approach for video captioning.
Appl. Soft Comput., 2022

2021
Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review.
WIREs Data Mining Knowl. Discov., 2021

A Multi-instance Multi-label Dual Learning Approach for Video Captioning.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Robust multi-view continuous subspace clustering.
Pattern Recognit. Lett., 2021

Multi-cue based four-stream 3D ResNets for video-based action recognition.
Inf. Sci., 2021

A novel webpage layout aesthetic evaluation model for quantifying webpage layout design.
Inf. Sci., 2021

Blockchain-based mobile edge computing system.
Inf. Sci., 2021

The Development of a Kind of Composite Material Lightweight Airborne Equipment Bracket.
Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

2020
Computational Intelligence for Information Security: A Survey.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Arbitrary-oriented object detection via dense feature fusion and attention model for remote sensing super-resolution image.
Neural Comput. Appl., 2020

CASR: a context-aware residual network for single-image super-resolution.
Neural Comput. Appl., 2020

Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition.
Neural Comput. Appl., 2020

Trainable TV-L<sup>1</sup> model as recurrent nets for low-level vision.
Neural Comput. Appl., 2020

Discriminative deep multi-task learning for facial expression recognition.
Inf. Sci., 2020

2019
Learnt dictionary based active learning method for environmental sound event tagging.
Multim. Tools Appl., 2019

Relational recurrent neural networks for polyphonic sound event detection.
Multim. Tools Appl., 2019

Dictionary-based active learning for sound event classification.
Multim. Tools Appl., 2019

A novel monocular calibration method for underwater vision measurement.
Multim. Tools Appl., 2019

Spatiotemporal Saliency Based Multi-stream Networks for Action Recognition.
Proceedings of the Pattern Recognition, 2019

2018
Durable relationship prediction and description using a large dynamic graph.
World Wide Web, 2018

Review on mining data from multiple data sources.
Pattern Recognit. Lett., 2018


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