Zhiyong Yang

BlackMirror: Black-Box Backdoor Detection for Text-to-Image Models via Instruction-Response Deviation CVPR 2026 Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation CVPR 2026 Mind the Way You Select Negative Texts: Pursuing the Distance Consistency in OOD Detection with VLMs CVPR 2026 Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation AAAI 2026 TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning AAAI 2026 ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$-$β$-Divergence ICML 2025 Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification AAAI 2025 EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion AAAI 2025 Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification ICML 2025 MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges ICML 2025 One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework ICML 2025 OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning ICML 2025 SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM AAAI 2025 AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation NeurIPS 2024 Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition ICML 2024 ReconBoost: Boosting Can Achieve Modality Reconcilement ICML 2024 Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection ICML 2024 Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques NeurIPS 2024 A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning NeurIPS 2023 Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild ICCV 2023 DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework NeurIPS 2023 Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation ICML 2023 Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning NeurIPS 2023 AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems ICML 2022 A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing IJCAI 2022 Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm NeurIPS 2022 ER: Equivariance Regularizer for Knowledge Graph Completion AAAI 2022 Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability NeurIPS 2022 Geometry Interaction Knowledge Graph Embeddings AAAI 2022 OpenAUC: Towards AUC-Oriented Open-Set Recognition NeurIPS 2022 OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport NeurIPS 2022 The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm NeurIPS 2022 Deep Partial Rank Aggregation for Personalized Attributes AAAI 2021 Dual Quaternion Knowledge Graph Embeddings AAAI 2021 Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association CVPR 2021 What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models AAAI 2021 When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ICML 2021 When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking NeurIPS 2021 Who Likes What? — SplitLBI in Exploring Preferential Diversity of Ratings AAAI 2020 Deep Robust Subjective Visual Property Prediction in Crowdsourcing CVPR 2019 DM2C: Deep Mixed-Modal Clustering NeurIPS 2019 Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer NeurIPS 2019 iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NeurIPS 2019 Learning Personalized Attribute Preference via Multi-Task AUC Optimization AAAI 2019 Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin AAAI 2019