Zehao Xiao
12 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (28) π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (13) π Interdisciplinary Bridge
π
Conference Polyglot
(6)
π
Academic Marathon
(6)
π
Century Club
(12)
π₯
Unstoppable
(5)
Conferences
ICLR (3)
NIPS (3)
CVPR (2)
ICML (2)
ICCV (1)
WACV (1)
Top co-authors
Keywords
domain generalization
(3)
crowd counting
(2)
multi-task learning
(2)
neural network optimization
(2)
density estimation
(2)
uncertainty quantification
(1)
knowledge transfer
(1)
knowledge distillation
(1)
test-time adaptation
(1)
prompt learning
(1)
variational bayesian inference
(1)
visual recognition
(1)
risk minimization
(1)
task clustering
(1)
distribution shift
(1)
generative model
(1)
diffusion model
(1)
convolutional neural network
(1)
bayesian neural network
(1)
feature aggregation
(1)
Papers
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
WACV 2025
DynaPrompt: Dynamic Test-Time Prompt Tuning
ICLR 2025
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
ICML 2025
Any-Shift Prompting for Generalization over Distributions
CVPR 2024
GO4Align: Group Optimization for Multi-Task Alignment
NIPS 2024
Energy-Based Test Sample Adaptation for Domain Generalization
ICLR 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
NIPS 2023
Learning to Generalize across Domains on Single Test Samples
ICLR 2022
Association Graph Learning for Multi-Task Classification with Category Shifts
NIPS 2022
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
ICML 2021
Relational Attention Network for Crowd Counting
ICCV 2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks
CVPR 2019