Xiaohan Qin
5 papers · 2024–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🐣
Hot Topic Early Bird
Venues
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Research topics
Keywords
multi-task learning
(2)
gradient aggregation
(2)
neural architecture search
(1)
neural network optimization
(1)
gradient estimation
(1)
parameter sharing
(1)
variance reduction
(1)
bilevel optimization
(1)
adversarial attack
(1)
zeroth-order optimization
(1)
molecular generation
(1)
evolutionary search
(1)
fairness optimization
(1)
gradient conflict
(1)
mass spectrometry
(1)
linear interpolation
(1)
molecular structure
(1)
performance variance
(1)
performance fairness
(1)
shared parameter
(1)
Papers
MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds
AAAI 2026
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