Xichen Ye
7 papers · 2023–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
deep neural network
(2)
influence function
(2)
noisy label
(2)
noisy label learning
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
neural network optimization
(1)
progressive learning
(1)
computational efficiency
(1)
label noise
(1)
generalization error
(1)
machine learning
(1)
subset selection
(1)
robust learning
(1)
generalization bound
(1)
loss function
(1)
gradient clipping
(1)
data pruning
(1)
positive-unlabeled learning
(1)
class activation map
(1)
Papers
Investigating Data Pruning for Pretraining Biological Foundation Models at Scale
AAAI 2026
When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF
AAAI 2026
Optimized Gradient Clipping for Noisy Label Learning
AAAI 2025
Towards Robust Influence Functions with Flat Validation Minima
ICML 2025
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation
CVPR 2024
Active Negative Loss Functions for Learning with Noisy Labels
NeurIPS 2023
GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting
AAAI 2023