Li Xiong
17 papers · 2020–2025 · 11 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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π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (45) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(88)
Venues
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(9)
Application Areas
(8)
Core AI
(8)
Optimization & Theory
(7)
Deep Learning
(6)
Learning Types
(6)
Healthcare & Medicine
(3)
Natural Language Processing
(3)
Clinical
(3)
Mathematics & Optimization
(2)
Security & Privacy
(2)
Architectures
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Paradigms Β· Machine Learning
(2)
Keywords
federated learning
(3)
text classification
(3)
differential privacy
(3)
neural network optimization
(2)
electronic health record
(2)
machine unlearning
(2)
language model
(2)
adversarial defense
(2)
hyperspherical energy
(2)
certified robustness
(2)
neural network regularization
(2)
embedding space
(1)
neural network pruning
(1)
natural language processing
(1)
non-convex optimization
(1)
adversarial robustness
(1)
dimensionality reduction
(1)
multimodal learning
(1)
semi-supervised learning
(1)
active learning
(1)
Papers
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
IJCAI 2025
HARBOR: Exploring Persona Dynamics in Multi-Agent Competition
IJCNLP 2025
Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training
ACL 2025
IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity
AAAI 2024
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
AAAI 2023
MUter: Machine Unlearning on Adversarially Trained Models
ICCV 2023
Federated Pruning: Improving Neural Network Efficiency with Federated Learning
Interspeech 2022
Multi-View Active Learning for Short Text Classification in User-Generated Data
EMNLP 2022
Certified Robustness to Word Substitution Attack with Differential Privacy
NAACL 2021
Federated Graph Classification over Non-IID Graphs
NeurIPS 2021
Integer-Arithmetic-Only Certified Robustness for Quantized Neural Networks
ICCV 2021
Learning with Hyperspherical Uniformity
AISTATS 2021
Orthogonal Over-Parameterized Training
CVPR 2021
Private Stochastic Non-convex Optimization with Improved Utility Rates
IJCAI 2021
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data
NAACL 2021
Regularizing Neural Networks via Minimizing Hyperspherical Energy
CVPR 2020
Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries
EMNLP 2020