Jianliang Xu
7 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(19)
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Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(6)
Application Areas
(5)
Artificial Intelligence
(4)
Deep Learning
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Models
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Architectures
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
knowledge distillation
(2)
federated learning
(1)
representation learning
(1)
adversarial robustness
(1)
transfer learning
(1)
policy gradient
(1)
preference learning
(1)
privacy preservation
(1)
adversarial training
(1)
time series classification
(1)
constraint satisfaction
(1)
model pruning
(1)
natural gradient descent
(1)
distribution shift
(1)
multivariate time series
(1)
generative model
(1)
data heterogeneity
(1)
language model
(1)
out-of-distribution detection
(1)
soft label
(1)
Papers
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
AAAI 2025
“Yes, My LoRD.” Guiding Language Model Extraction with Locality Reinforced Distillation
ACL 2025
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
ICLR 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
ICML 2023
Reliable Adversarial Distillation with Unreliable Teachers
ICLR 2022
Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints
IJCAI 2021
ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification
AAAI 2021