Yixiong Zou

Orcid: 0000-0002-2125-9041

According to our database¹, Yixiong Zou authored at least 44 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2025

A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2025

Few-Shot Object Detection via Spatial-Channel State Space Model.

[BibT_eX]

[DOI]

CoRR, July, 2025

Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning.

[BibT_eX]

[DOI]

CoRR, July, 2025

Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, June, 2025

Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning.

[BibT_eX]

[DOI]

CoRR, June, 2025

Random Registers for Cross-Domain Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, June, 2025

Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation.

[BibT_eX]

[DOI]

CoRR, June, 2025

FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

Training-free Anomaly Event Detection via LLM-guided Symbolic Pattern Discovery.

[BibT_eX]

[DOI]

CoRR, February, 2025

Toward Realistic Camouflaged Object Detection: Benchmarks and Method.

[BibT_eX]

[DOI]

CoRR, January, 2025

Community-influencing path explanation for link prediction in heterogeneous graph neural network.

[BibT_eX]

[DOI]

Neural Networks, 2025

Unified Category and Style Generalization for Instance-Level Sketch Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Spectral Decomposition and Transformation for Cross-domain Few-shot Learning.

[BibT_eX]

[DOI]

Neural Networks, 2024

DCMSL: Dual influenced community strength-boosted multi-scale graph contrastive learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

A Survey on Self-Supervised Pre-Training of Graph Foundation Models: A Knowledge-Based Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Masked Graph Autoencoder with Non-discrete Bandwidths.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Generate Universal Adversarial Perturbations for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-shot Open-Set Recognition.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Compositional Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dynamic Knowledge Adapter with Probabilistic Calibration for Generalized Few-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SSTP: Social and Spatial-Temporal Aware Next Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

Data Sci. Eng., December, 2023

Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CSGCL: Community-Strength-Enhanced Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection.

[BibT_eX]

[DOI]

CoRR, 2022

Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Annotation-Efficient Untrimmed Video Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Adaptation-Oriented Feature Projection for One-Shot Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2020

Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition.

[BibT_eX]

[DOI]

CoRR, 2020

Compositional Few-Shot Recognition with Primitive Discovery and Enhancing.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2018

Fast Compressed Domain Copy Detection with Motion Vector Imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Hierarchical Temporal Memory Enhanced One-Shot Distance Learning for Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

ODN: Opening the Deep Network for Open-Set Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Yixiong Zou

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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