Qianqian Xu

32

Papers

23

Total Citations

Papers (32)

When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning

Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs

Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification

LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders

Exploring Structural Degradation in Dense Representations for Self-supervised Learning

EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion

ReconBoost: Boosting Can Achieve Modality Reconcilement

ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection

Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection

Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition

Deep Robust Subjective Visual Property Prediction in Crowdsourcing

Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective

Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild

RGB-D Salient Object Detection with Cross-Modality Modulation and Selection

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association

Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification

Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting

Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification

SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM

2243 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection

Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI

DM2C: Deep Mixed-Modal Clustering

When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking

The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm

OpenAUC: Towards AUC-Oriented Open-Set Recognition

Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability

Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm

OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport

Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning

DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework

A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning