Qianqian Xu

BlackMirror: Black-Box Backdoor Detection for Text-to-Image Models via Instruction-Response Deviation CVPR 2026 From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning CVPR 2026 Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation CVPR 2026 Hidden Dangers of Compositional Generation: Diagnosing Semantic Safety Failures in Text-to-Image Models CVPR 2026 HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models AAAI 2026 Making Training-Free Diffusion Segmentors Scale with the Generative Power 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 Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs ICML 2025 Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain ICML 2025 Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification CVPR 2025 EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion AAAI 2025 Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting 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 When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning CVPR 2025 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection AAAI 2024 AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation NeurIPS 2024 ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection ICML 2024 Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition ICML 2024 Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features NeurIPS 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 Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ AAAI 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 Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm NeurIPS 2022 Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective CVPR 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 Quaternion Ordinal Embedding IJCAI 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 Global Context-Aware Progressive Aggregation Network for Salient Object Detection AAAI 2020 RGB-D Salient Object Detection with Cross-Modality Modulation and Selection ECCV 2020 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 Robust Ordinal Embedding from Contaminated Relative Comparisons AAAI 2019 False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking ICML 2016