Peng Hu

Orcid: 0000-0003-3868-3997

Affiliations:
  • Sichuan University, Machine Intelligence Laboratory, College of Computer Science, China


According to our database1, Peng Hu authored at least 63 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Learning with Noisy Correspondence.
Int. J. Comput. Vis., September, 2024

Single-Cell RNA-Seq Debiased Clustering via Batch Effect Disentanglement.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Semantic Invariant Multi-View Clustering With Fully Incomplete Information.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Hierarchical Consensus Hashing for Cross-Modal Retrieval.
IEEE Trans. Multim., 2024

Dual Self-Paced Hashing for Image Retrieval.
IEEE Trans. Multim., 2024

Cross-Modal Retrieval With Noisy Correspondence via Consistency Refining and Mining.
IEEE Trans. Image Process., 2024

RoMo: Robust Unsupervised Multimodal Learning With Noisy Pseudo Labels.
IEEE Trans. Image Process., 2024

DifFilter: Defending Against Adversarial Perturbations With Diffusion Filter.
IEEE Trans. Inf. Forensics Secur., 2024

Integrating confidence calibration and adversarial robustness via adversarial calibration entropy.
Inf. Sci., 2024

Evolving filter criteria for randomly initialized network pruning in image classification.
Neurocomputing, 2024

Evolving masked low-rank transformer for long text understanding.
Appl. Soft Comput., 2024

Adaptive Masked Autoencoder Transformer for image classification.
Appl. Soft Comput., 2024

Robust Contrastive Cross-modal Hashing with Noisy Labels.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Robust Variational Contrastive Learning for Partially View-unaligned Clustering.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Image Clustering with External Guidance.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Test-time Adaptation against Multi-modal Reliability Bias.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Noisy-Correspondence Learning for Text-to-Image Person Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Decoupled Contrastive Multi-View Clustering with High-Order Random Walks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Dual Self-Paced Cross-Modal Hashing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Cross-Domain Alignment for Zero-Shot Sketch-Based Image Retrieval.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Learning relationship-preserving representation for multi-task adversarial attacks.
Neurocomputing, October, 2023

Cross-Modal Retrieval With Partially Mismatched Pairs.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Unsupervised Contrastive Cross-Modal Hashing.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Robust Multi-View Clustering With Incomplete Information.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Cross-modal Active Complementary Learning with Self-refining Correspondence.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ROAD: Robust Unsupervised Domain Adaptation with Noisy Labels.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Incomplete Multi-view Clustering via Prototype-based Imputation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Graph Matching with Bi-level Noisy Correspondence.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Rethinking Image Super Resolution from Long-Tailed Distribution Learning Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RONO: Robust Discriminative Learning with Noisy Labels for 2D-3D Cross-Modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Deep Multimodal Transfer Learning for Cross-Modal Retrieval.
IEEE Trans. Neural Networks Learn. Syst., 2022

Unsupervised Neural Rendering for Image Hazing.
IEEE Trans. Image Process., 2022

Deep Semisupervised Class- and Correlation-Collapsed Cross-View Learning.
IEEE Trans. Cybern., 2022

Deep Semisupervised Multiview Learning With Increasing Views.
IEEE Trans. Cybern., 2022

MagicGAN: Multiagent Attacks Generate Interferential Category via GAN.
Knowl. Based Syst., 2022

Relationship Quantification of Image Degradations.
CoRR, 2022

Deep Fair Clustering via Maximizing and Minimizing Mutual Information.
CoRR, 2022

Multi-Scale Adaptive Network for Single Image Denoising.
CoRR, 2022

Multi-Scale Adaptive Network for Single Image Denoising.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

All-In-One Image Restoration for Unknown Corruption.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Joint Versus Independent Multiview Hashing for Cross-View Retrieval.
IEEE Trans. Cybern., 2021

Cross-modal discriminant adversarial network.
Pattern Recognit., 2021

DRSL: Deep Relational Similarity Learning for Cross-modal Retrieval.
Inf. Sci., 2021

Unsupervised Neural Rendering for Image Hazing.
CoRR, 2021

PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Cross-Modal Retrieval With Noisy Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Contrastive Clustering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Partially View-aligned Clustering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multi-View Linear Discriminant Analysis Network.
IEEE Trans. Image Process., 2019

Adversarial correlated autoencoder for unsupervised multi-view representation learning.
Knowl. Based Syst., 2019

Multimodal adversarial network for cross-modal retrieval.
Knowl. Based Syst., 2019

Scalable Deep Multimodal Learning for Cross-Modal Retrieval.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Separated Variational Hashing Networks for Cross-Modal Retrieval.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Deep Supervised Cross-Modal Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Local feature based multi-view discriminant analysis.
Knowl. Based Syst., 2018


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