Xu Yang

Orcid: 0000-0002-8276-2679

Affiliations:
  • Southeast University, Nanjing, China
  • Key Lab of New Generation Artificial Intelligence Technology & Its Interdisciplinary Applications, Nanjing, China
  • Nanyang Technological University, Singapore (former)


According to our database1, Xu Yang authored at least 41 papers between 2015 and 2024.

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

Timeline

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2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
A glance at in-context learning.
Frontiers Comput. Sci., October, 2024

Auto-encoding score distribution regression for action quality assessment.
Neural Comput. Appl., January, 2024

Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark.
CoRR, 2024

Zero-Shot Long-Form Video Understanding through Screenplay.
CoRR, 2024

Learnable In-Context Vector for Visual Question Answering.
CoRR, 2024

Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient.
CoRR, 2024

Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models.
CoRR, 2024

Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Vision Transformers as Probabilistic Expansion from Learngene.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

How to Configure Good In-Context Sequence for Visual Question Answering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Transformer as Linear Expansion of Learngene.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Building Variable-Sized Models via Learngene Pool.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Deconfounded Image Captioning: A Causal Retrospect.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning.
Int. J. Comput. Vis., 2023

ICD-LM: Configuring Vision-Language In-Context Demonstrations by Language Modeling.
CoRR, 2023

Manipulating the Label Space for In-Context Classification.
CoRR, 2023

ChartLlama: A Multimodal LLM for Chart Understanding and Generation.
CoRR, 2023

Genes in Intelligent Agents.
CoRR, 2023

Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models.
CoRR, 2023

Transforming Visual Scene Graphs to Image Captions.
CoRR, 2023

Adaptively Clustering Neighbor Elements for Image Captioning.
CoRR, 2023

Learning From Biased Soft Labels.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring Diverse In-Context Configurations for Image Captioning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Trajectory-Word Alignments for Video-Language Tasks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transforming Visual Scene Graphs to Image Captions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Auto-Encoding and Distilling Scene Graphs for Image Captioning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards Unbiased Visual Emotion Recognition via Causal Intervention.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Show, Deconfound and Tell: Image Captioning with Causal Inference.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Image captioning with transformer and knowledge graph.
Pattern Recognit. Lett., 2021

Auto-Parsing Network for Image Captioning and Visual Question Answering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Causal Attention for Vision-Language Tasks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Hierarchical Scene Graph Encoder-Decoder for Image Paragraph Captioning.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Progressive Joint Propagation for Human Motion Prediction.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Learning to Collocate Neural Modules for Image Captioning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unpaired Image Captioning via Scene Graph Alignments.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Auto-Encoding Scene Graphs for Image Captioning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features.
Proceedings of the Computer Vision - ECCV 2018, 2018

2016
Sparsity Conditional Energy Label Distribution Learning for Age Estimation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Deep Age Distribution Learning for Apparent Age Estimation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Deep Label Distribution Learning for Apparent Age Estimation.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015


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