Bowen Xu
7 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
π
Grand Slam
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Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Deep Learning
(3)
Computer Vision
(2)
Application Areas
(2)
Domain-Specific
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Processing
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Core Methods
(1)
Learning Types Β· Machine Learning
(1)
Mathematics
(1)
Keywords
post-training quantization
(1)
patch-based learning
(1)
covariate shift
(1)
hypothesis testing
(1)
statistical testing
(1)
importance weighting
(1)
l2 regularization
(1)
optimization algorithm
(1)
diffusion model
(1)
adam optimizer
(1)
weight decay
(1)
conditional independence test
(1)
control variate
(1)
vision-language model
(1)
multimodal large language model
(1)
zero-shot classification
(1)
neural operator
(1)
satellite image
(1)
activation sparsity
(1)
causal inference
(1)
Papers
Bias Is a Subspace, Not a Coordinate: A Geometric Rethinking of Post-hoc Debiasing in Vision-Language Models
CVPR 2026
MASQuant: Modality-Aware Smoothing Quantization for Multimodal Large Language Models
CVPR 2026
La RoSA: Enhancing LLM Efficiency via Layerwise Rotated Sparse Activation
ICML 2025
NeurOp-Diff: Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion
ICCV 2025
Covariate Shift Corrected Conditional Randomization Test
NeurIPS 2024
Patched Line Segment Learning for Vector Road Mapping
AAAI 2024
Three Mechanisms of Weight Decay Regularization
ICLR 2019