Changqing Zhang
44 papers · 2015–2026 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
(37)
Core Methods
(28)
Learning Types Β· Machine Learning
(22)
Artificial Intelligence
(20)
Deep Learning
(18)
Learning Types Β· Deep Learning
(16)
Core AI
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Computer Vision
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Keywords
uncertainty estimation
(9)
uncertainty quantification
(6)
representation learning
(6)
subspace clustering
(5)
multi-view clustering
(5)
multi-view learning
(5)
latent representation
(4)
test-time adaptation
(4)
out-of-distribution detection
(4)
domain generalization
(3)
unsupervised learning
(3)
domain adaptation
(3)
feature learning
(3)
bayesian inference
(3)
multi-view classification
(3)
metric learning
(2)
generalization error
(2)
multimodal learning
(2)
hilbert-schmidt independence criterion
(2)
epistemic uncertainty
(2)
Papers
BA-GS: Bayesian Adaptive Gaussian Splatting for SFM-Free 3D Reconstruction
CVPR 2026
Estimating the Black-box LLM Uncertainty with Distribution-Aligned Adversarial Distillation
ACL 2026
MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains
AAAI 2026
Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior
CVPR 2025
COME: Test-time Adaption by Conservatively Minimizing Entropy
ICLR 2025
Exploring Task-Level Optimal Prompts for Visual In-Context Learning
AAAI 2025
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
AAAI 2025
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
CVPR 2024
Interactive Deep Clustering via Value Mining
NeurIPS 2024
Out-Of-Distribution Detection with Diversification (Provably)
NeurIPS 2024
Predictive Dynamic Fusion
ICML 2024
Test-time Adaptation against Multi-modal Reliability Bias
ICLR 2024
Test-Time Dynamic Image Fusion
NeurIPS 2024
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection
NeurIPS 2024
Calibrating Multimodal Learning
ICML 2023
dugMatting: Decomposed-Uncertainty-Guided Matting
ICML 2023
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification
CVPR 2023
Fairness-guided Few-shot Prompting for Large Language Models
NeurIPS 2023
Graph Matching with Bi-level Noisy Correspondence
ICCV 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data
ICML 2023
Safe Multi-View Deep Classification
AAAI 2023
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification
CVPR 2022
Trustworthy Long-Tailed Classification
CVPR 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
NeurIPS 2022
Multi-View Information-Bottleneck Representation Learning
AAAI 2021
Trusted Multi-View Classification
ICLR 2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
NeurIPS 2021
Uncertainty-Aware Multi-View Representation Learning
AAAI 2021
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning
ECCV 2020
AE2-Nets: Autoencoder in Autoencoder Networks
CVPR 2019
Attributed Subspace Clustering
IJCAI 2019
CPM-Nets: Cross Partial Multi-View Networks
NeurIPS 2019
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally
CVPR 2019
Flexible Multi-View Representation Learning for Subspace Clustering
IJCAI 2019
Multi-view Spectral Clustering Network
IJCAI 2019
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering
ICCV 2019
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning
IJCAI 2018
FISH-MML: Fisher-HSIC Multi-View Metric Learning
IJCAI 2018
Towards Generalized and Efficient Metric Learning on Riemannian Manifold
IJCAI 2018
Exclusivity-Consistency Regularized Multi-View Subspace Clustering
CVPR 2017
Latent Multi-View Subspace Clustering
CVPR 2017
SketchNet: Sketch Classification With Web Images
CVPR 2016
Diversity-Induced Multi-View Subspace Clustering
CVPR 2015
Low-Rank Tensor Constrained Multiview Subspace Clustering
ICCV 2015