Cong Xu

Orcid: 0000-0002-9288-1743

Affiliations:
  • Inspur (Beijing) Electronic Information Industry Company, Ltd., Beijing, China
  • University of Science and Technology Beijing (USTB), School of Computer and Communication Engineering, China (PhD 2020)


According to our database1, Cong Xu authored at least 13 papers between 2019 and 2026.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2026
Visual Question Explainable Reasoning on Hypothesis Agent Interaction with Scene.
Signal Process., 2026

2025
DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation.
CoRR, March, 2025

A Multi-Granularity Relation Graph Aggregation Framework With Multimodal Clues for Social Relation Reasoning.
IEEE Trans. Multim., 2025

2024
MVIndEmo: a dataset for micro video public-induced emotion prediction on social media.
Multim. Syst., February, 2024

Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Egocentric Vehicle Dense Video Captioning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2022
AI-VQA: Visual Question Answering based on Agent Interaction with Interpretability.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Traditional Chinese medicine symptom normalization approach leveraging hierarchical semantic information and text matching with attention mechanism.
J. Biomed. Informatics, 2021

2020
Deep successor feature learning for text generation.
Neurocomputing, 2020

A model with length-variable attention for spoken language understanding.
Neurocomputing, 2020

Improving Distantly-Supervised Named Entity Recognition for Traditional Chinese Medicine Text via a Novel Back-Labeling Approach.
IEEE Access, 2020

A Knowledge Driven Dialogue Model With Reinforcement Learning.
IEEE Access, 2020

2019
Unsupervised Traditional Chinese Medicine Text Segmentation Combined with Domain Dictionary.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019


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