Xiaoxing Wang
14 papers · 2020–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(11)
π€
Dynamic Duo
(12)
π§¬
Topic Evolution
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(55)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory Β· Machine Learning
(11)
Deep Learning
(7)
Learning Types Β· Machine Learning
(4)
Application Areas
(3)
Architectures
(3)
Techniques
(3)
Artificial Intelligence
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Keywords
neural architecture search
(7)
differentiable architecture search
(4)
gradient aggregation
(2)
bilevel optimization
(2)
bayesian optimization
(2)
multi-task learning
(2)
performance collapse
(2)
hyperparameter optimization
(2)
black-box optimization
(1)
question answering
(1)
self-attention mechanism
(1)
information retrieval
(1)
representation learning
(1)
parameter sharing
(1)
preference learning
(1)
gibbs sampling
(1)
gaussian process
(1)
embedding space
(1)
gradient estimation
(1)
neural network optimization
(1)
Papers
Modeling All Response Surfaces in One for Conditional Search Spaces
AAAI 2025
QAEncoder: Towards Aligned Representation Learning in Question Answering Systems
ACL 2025
Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction
CVPR 2025
Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters
CVPR 2025
Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach
CVPR 2024
ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization
NeurIPS 2024
Poisson Process for Bayesian Optimization
AutoML 2023
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation
ICCV 2023
A Max-Flow Based Approach for Neural Architecture Search
ECCV 2022
EAutoDet: Efficient Architecture Search for Object Detection
ECCV 2022
ZARTS: On Zero-order Optimization for Neural Architecture Search
NeurIPS 2022
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
ICLR 2021
Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective
AAAI 2021
MergeNAS: Merge Operations into One for Differentiable Architecture Search
IJCAI 2020