Yixiong Zou

Orcid: 0000-0002-2125-9041

According to our database1, Yixiong Zou authored at least 27 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection.
IEEE Trans. Image Process., 2024

Spectral Decomposition and Transformation for Cross-domain Few-shot Learning.
Neural Networks, 2024

DCMSL: Dual influenced community strength-boosted multi-scale graph contrastive learning.
Knowl. Based Syst., 2024

Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning.
CoRR, 2024

Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation.
CoRR, 2024

A Survey on Self-Supervised Pre-Training of Graph Foundation Models: A Knowledge-Based Perspective.
CoRR, 2024

Masked Graph Autoencoder with Non-discrete Bandwidths.
Proceedings of the ACM on Web Conference 2024, 2024

MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning.
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.
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.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Compositional Few-Shot Class-Incremental Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning.
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.
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.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SSTP: Social and Spatial-Temporal Aware Next Point-of-Interest Recommendation.
Data Sci. Eng., December, 2023

Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CSGCL: Community-Strength-Enhanced Graph Contrastive Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection.
CoRR, 2022

Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation.
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.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Annotation-Efficient Untrimmed Video Action Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Adaptation-Oriented Feature Projection for One-Shot Action Recognition.
IEEE Trans. Multim., 2020

Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition.
CoRR, 2020

Compositional Few-Shot Recognition with Primitive Discovery and Enhancing.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2018
Fast Compressed Domain Copy Detection with Motion Vector Imaging.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Hierarchical Temporal Memory Enhanced One-Shot Distance Learning for Action Recognition.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

ODN: Opening the Deep Network for Open-Set Action Recognition.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018


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