Changqing Zhang

Orcid: 0000-0003-1410-6650

Affiliations:
  • Tianjin University, Tianjin, China


According to our database1, Changqing Zhang authored at least 62 papers between 2016 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Semantic Energy: Detecting LLM Hallucination Beyond Entropy.
CoRR, August, 2025

Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization.
CoRR, April, 2025

Trustworthy deep learning for encrypted traffic classification.
Soft Comput., January, 2025

COME: Test-time Adaption by Conservatively Minimizing Entropy.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
A principled framework for explainable multimodal disentanglement.
Inf. Sci., 2024

Invariant Test-Time Adaptation for Vision-Language Model Generalization.
CoRR, 2024

Selective Learning: Towards Robust Calibration with Dynamic Regularization.
CoRR, 2024

Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
SGU-Net: Shape-Guided Ultralight Network for Abdominal Image Segmentation.
IEEE J. Biomed. Health Informatics, March, 2023

Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity.
IEEE Trans. Medical Imaging, February, 2023

Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection.
IEEE Trans. Multim., 2023

Trusted Multi-View Classification With Dynamic Evidential Fusion.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning.
CoRR, 2023

Semantic Equivariant Mixup.
CoRR, 2023

Reweighted Mixup for Subpopulation Shift.
CoRR, 2023

Fairness-guided Few-shot Prompting for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provable Dynamic Fusion for Low-Quality Multimodal Data.
Proceedings of the International Conference on Machine Learning, 2023

dugMatting: Decomposed-Uncertainty-Guided Matting.
Proceedings of the International Conference on Machine Learning, 2023

Calibrating Multimodal Learning.
Proceedings of the International Conference on Machine Learning, 2023

Attention Paper: How Generative AI Reshapes Digital Shadow Industry?
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022
One-Step Multiview Subspace Segmentation via Joint Skinny Tensor Learning and Latent Clustering.
IEEE Trans. Cybern., 2022

Deep-LIFT: Deep Label-Specific Feature Learning for Image Annotation.
IEEE Trans. Cybern., 2022

Deep Partial Multi-View Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Ball $k$k-Means: Fast Adaptive Clustering With No Bounds.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Deep Spectral Representation Learning From Multi-View Data.
IEEE Trans. Image Process., 2021

Incomplete multi-modal representation learning for Alzheimer's disease diagnosis.
Medical Image Anal., 2021

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Trusted Multi-View Classification.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning.
IEEE Trans. Medical Imaging, 2020

Dual Shared-Specific Multiview Subspace Clustering.
IEEE Trans. Cybern., 2020

Multiview Latent Space Learning With Feature Redundancy Minimization.
IEEE Trans. Cybern., 2020

Hybrid Noise-Oriented Multilabel Learning.
IEEE Trans. Cybern., 2020

Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint.
IEEE Trans. Circuits Syst. Video Technol., 2020

Generalized Latent Multi-View Subspace Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data.
Medical Image Anal., 2020

Tensorized Multi-view Subspace Representation Learning.
Int. J. Comput. Vis., 2020

LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection.
CoRR, 2020

M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients.
CoRR, 2020

Ball k-means.
CoRR, 2020

M<sup>2</sup> Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Learning a Joint Affinity Graph for Multiview Subspace Clustering.
IEEE Trans. Multim., 2019

Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation.
IEEE Trans. Multim., 2019

Graph Structure Fusion for Multiview Clustering.
IEEE Trans. Knowl. Data Eng., 2019

CPM-Nets: Cross Partial Multi-View Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Attributed Subspace Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multi-view Spectral Clustering Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image.
IEEE Trans. Medical Imaging, 2018

Shape-Preserving Object Depth Control for Stereoscopic Images.
IEEE Trans. Circuits Syst. Video Technol., 2018

Entropy-based active sparse subspace clustering.
Multim. Tools Appl., 2018

Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

Infant brain development prediction with latent partial multi-view representation learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Depth-Preserving Stereo Image Retargeting Based on Pixel Fusion.
IEEE Trans. Multim., 2017

Salient Object Detection via Weighted Low Rank Matrix Recovery.
IEEE Signal Process. Lett., 2017

Unsupervised feature selection via Diversity-induced Self-representation.
Neurocomputing, 2017

2016
Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion.
IEEE Signal Process. Lett., 2016


  Loading...