Shilong Bao
14 papers · 2021–2026 · 4 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29)
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Dynamic Duo
(14)
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Century Club · Bronze
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Research topics
Machine Learning
(11)
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Computer Vision
(6)
Optimization & Theory
(6)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Analysis
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
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(3)
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(2)
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Generation
(2)
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(1)
Keywords
representation learning
(2)
diffusion model
(2)
auc optimization
(2)
deep learning
(2)
partial auc
(2)
gradient-based optimization
(1)
hierarchical classification
(1)
stochastic gradient descent
(1)
visual representation
(1)
text-to-image generation
(1)
fine-grained classification
(1)
binary classification
(1)
class imbalance
(1)
generalization error
(1)
generalization analysis
(1)
adversarial training
(1)
roc curve
(1)
surrogate loss
(1)
distributionally robust optimization
(1)
image reconstruction
(1)
Papers
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
Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification
AAAI 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
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
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
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
NeurIPS 2022
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC
ICML 2021