Xiaotian Yu
10 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(7)
🗃️
Keyword Collector
(54)
🚀
Conference Pioneer
💎
Century Club
(10)
📈
Trend Setter
❓
The Questioner
Conferences
IJCAI (4)
AAAI (1)
ACL (1)
CVPR (1)
ECCV (1)
MICCAI (1)
NIPS (1)
Top co-authors
Keywords
convolutional neural network
(2)
adversarial learning
(1)
adversarial attack
(1)
adversarial robustness
(1)
convex optimization
(1)
computer vision
(1)
convergence analysis
(1)
gradient aggregation
(1)
computational efficiency
(1)
model interpretability
(1)
model debugging
(1)
label noise
(1)
feature space
(1)
gradient optimization
(1)
feature learning
(1)
regret bound
(1)
online algorithm
(1)
optimization algorithm
(1)
convergence acceleration
(1)
stochastic optimization
(1)
Papers
Self-calibration Enhanced Whole Slide Pathology Image Analysis
IJCAI 2025
Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis
MICCAI 2024
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding
ACL 2024
Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing
IJCAI 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
IJCAI 2024
How To Prevent the Continuous Damage of Noises To Model Training?
CVPR 2023
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers
AAAI 2022
Accelerating Deep Learning with Millions of Classes
ECCV 2020
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization
IJCAI 2018
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
NIPS 2018