Ning Xu

Orcid: 0000-0002-7526-4356

Affiliations:
  • Tianjin University, Tianjin, China


According to our database1, Ning Xu authored at least 48 papers between 2015 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Multi-Modal Validation and Domain Interaction Learning for Knowledge-Based Visual Question Answering.
IEEE Trans. Knowl. Data Eng., November, 2024

Prior knowledge guided text to image generation.
Pattern Recognit. Lett., January, 2024

Learning to Supervise Knowledge Retrieval Over a Tree Structure for Visual Question Answering.
IEEE Trans. Multim., 2024

Event-Aware Retrospective Learning for Knowledge-Based Image Captioning.
IEEE Trans. Multim., 2024

Counterfactual Visual Dialog: Robust Commonsense Knowledge Learning From Unbiased Training.
IEEE Trans. Multim., 2024

How to Understand Named Entities: Using Common Sense for News Captioning.
CoRR, 2024

Rule-driven News Captioning.
CoRR, 2024

Cross-Modal Coherence-Enhanced Feedback Prompting for News Captioning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Rumor Detection Framework Based on Multi-source Knowledge Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
A comprehensive survey on deep-learning-based visual captioning.
Multim. Syst., December, 2023

SMPC: boosting social media popularity prediction with caption.
Multim. Syst., April, 2023

Exploring visual relationship for social media popularity prediction.
J. Vis. Commun. Image Represent., February, 2023

Causality is all you need.
CoRR, 2023

T2IW: Joint Text to Image & Watermark Generation.
CoRR, 2023

Knowledge Prompt Makes Composed Pre-Trained Models Zero-Shot News Captioner.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Towards Confidence-Aware Commonsense Knowledge Integration for Scene Graph Generation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
A review of feature fusion-based media popularity prediction methods.
Vis. Informatics, 2022

Toward Region-Aware Attention Learning for Scene Graph Generation.
IEEE Trans. Neural Networks Learn. Syst., 2022

High-Order Interaction Learning for Image Captioning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Region-Aware Image Captioning via Interaction Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Closed-loop reasoning with graph-aware dense interaction for visual dialog.
Multim. Syst., 2022

2021
Image Captioning with multi-level similarity-guided semantic matching.
Vis. Informatics, 2021

Adaptively Clustering-Driven Learning for Visual Relationship Detection.
IEEE Trans. Multim., 2021

Scene Graph Inference via Multi-Scale Context Modeling.
IEEE Trans. Circuits Syst. Video Technol., 2021

Scene-Graph-Guided message passing network for dense captioning.
Pattern Recognit. Lett., 2021

Coupled-dynamic learning for vision and language: Exploring Interaction between different tasks.
Pattern Recognit., 2021

Multi-type decision fusion network for visual Q&A.
Image Vis. Comput., 2021

Mask and Predict: Multi-step Reasoning for Scene Graph Generation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Triangle-Reward Reinforcement Learning: A Visual-Linguistic Semantic Alignment for Image Captioning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Self-Attention Graph Residual Convolutional Networks for Event Detection with dependency relations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Multi-Level Policy and Reward-Based Deep Reinforcement Learning Framework for Image Captioning.
IEEE Trans. Multim., 2020

Hierarchical Deep Neural Network for Image Captioning.
Neural Process. Lett., 2020

Corrigendum to "3D model classification based on few-shot learning" [Neurocomputing 398 (2020) 539-546/21103].
Neurocomputing, 2020

3D Model classification based on few-shot learning.
Neurocomputing, 2020

Part-Aware Interactive Learning for Scene Graph Generation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Multi-Domain and Multi-Task Learning for Human Action Recognition.
IEEE Trans. Image Process., 2019

Dual-Stream Recurrent Neural Network for Video Captioning.
IEEE Trans. Circuits Syst. Video Technol., 2019

Multi-guiding long short-term memory for video captioning.
Multim. Syst., 2019

Scene graph captioner: Image captioning based on structural visual representation.
J. Vis. Commun. Image Represent., 2019

基于篇章结构的英文作文自动评分方法 (English Automated Essay Scoring Methods Based on Discourse Structure).
计算机科学, 2019

2018
Attention-in-Attention Networks for Surveillance Video Understanding in Internet of Things.
IEEE Internet Things J., 2018

Multi-Level Policy and Reward Reinforcement Learning for Image Captioning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Benchmarking a Multimodal and Multiview and Interactive Dataset for Human Action Recognition.
IEEE Trans. Cybern., 2017

Hierarchical & multimodal video captioning: Discovering and transferring multimodal knowledge for vision to language.
Comput. Vis. Image Underst., 2017

Tianjin University and National University of Singapore at TRECVID 2017: Video to Text Description.
Proceedings of the 2017 TREC Video Retrieval Evaluation, 2017

2015
Single/multi-view human action recognition via regularized multi-task learning.
Neurocomputing, 2015

TJU-TJUT@TRECVID 2015: Surveillance Event Detection.
Proceedings of the 2015 TREC Video Retrieval Evaluation, 2015

Multi-modal & Multi-view & Interactive Benchmark Dataset for Human Action Recognition.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015


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