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Changqing Zhang

44 papers · 2015–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (75) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (21) πŸ† Grand Slam πŸ”¬ Deep Specialist (13) πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Silver πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (209)

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