Xingxing Zhang

Orcid: 0000-0003-4012-3796

Affiliations:

Tsinghua University, Beijing, China
Beijing Jiaotong University, Beijing, China (PhD 2020)

According to our database¹, Xingxing Zhang authored at least 42 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

A Comprehensive Survey of Continual Learning: Theory, Method and Application.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

To Boost Zero-Shot Generalization for Embodied Reasoning With Vision-Language Pre-Training.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation.

[BibT_eX]

[DOI]

CoRR, 2024

HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection.

[BibT_eX]

[DOI]

CoRR, 2024

CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment.

[BibT_eX]

[DOI]

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

Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning.

[BibT_eX]

[DOI]

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

MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Incorporating neuro-inspired adaptability for continual learning in artificial intelligence.

[BibT_eX]

[DOI]

Nat. Mac. Intell., December, 2023

Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Unleashing the potential of GNNs via Bi-directional Knowledge Transfer.

[BibT_eX]

[DOI]

CoRR, 2023

Towards a General Framework for Continual Learning with Pre-training.

[BibT_eX]

[DOI]

CoRR, 2023

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Diagnosing Ensemble Few-Shot Classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2022

MFHI: Taking Modality-Free Human Identification as Zero-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Just Noticeable Difference for Deep Machine Vision.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Auto-weighted low-rank representation for clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation.

[BibT_eX]

[DOI]

CoRR, 2022

The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

One-step Low-Rank Representation for Clustering.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Memory Replay with Data Compression for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Does deep machine vision have just noticeable difference (JND)?

[BibT_eX]

[DOI]

CoRR, 2021

Double Low-Rank Representation With Projection Distance Penalty for Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Hierarchical Prototype Learning for Zero-Shot Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2020

Canonical Correlation Analysis With L<sub>2, 1</sub>-Norm for Multiview Data Representation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Convolutional prototype learning for zero-shot recognition.

[BibT_eX]

[DOI]

Image Vis. Comput., 2020

ProLFA: Representative prototype selection for local feature aggregation.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Taking Modality-free Human Identification as Zero-shot Learning.

[BibT_eX]

[DOI]

CoRR, 2020

From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition.

[BibT_eX]

[DOI]

CoRR, 2020

Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Seeing All From a Few: ℓ<sub>1</sub>-Norm-Induced Discriminative Prototype Selection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Diffusion induced graph representation learning.

[BibT_eX]

[DOI]

Neurocomputing, 2019

ProLFA: Representative Prototype Selection for Local Feature Aggregation.

[BibT_eX]

[DOI]

Xingxing Zhang

Zhenfeng Zhu

Yao Zhao

CoRR, 2019

ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Learning a General Assignment Model for Video Analytics.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

Sparsity induced prototype learning via ℓp, 1-norm grouping.

[BibT_eX]

[DOI]

Xingxing Zhang

Zhenfeng Zhu

Yao Zhao

J. Vis. Commun. Image Represent., 2018

Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Xingxing Zhang

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