Li Xiong
18 papers · 2020–2025 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (12) π Conference Polyglot (12) π Academic Marathon (5) π Renaissance Researcher (9)
πΊοΈ
Taxonomy Completionist
(50)
π
Conference Polyglot
(12)
π
Academic Marathon
(5)
π
Century Club
(18)
ποΈ
Keyword Collector
(90)
β‘
Prolific Year
(7)
π₯
Unstoppable
(6)
Conferences
AAAI (2)
CVPR (2)
EMNLP (2)
ICCV (2)
IJCAI (2)
NAACL (2)
AACL (1)
ACL (1)
AISTATS (1)
IJCNLP (1)
INTERSPEECH (1)
NIPS (1)
Top co-authors
Research topics
Keywords
federated learning
(3)
text classification
(3)
differential privacy
(3)
electronic health record
(2)
hyperspherical energy
(2)
neural network regularization
(2)
llm agent
(2)
adversarial defense
(2)
theory of mind
(2)
certified robustness
(2)
machine unlearning
(2)
language model
(2)
multi-agent system
(2)
neural network optimization
(2)
natural language processing
(1)
embedding space
(1)
neural network pruning
(1)
nonconvex optimization
(1)
adversarial robustness
(1)
dimensionality reduction
(1)
Papers
HARBOR: Exploring Persona Dynamics in Multi-Agent Competition
IJCNLP 2025
HARBOR: Exploring Persona Dynamics in Multi-Agent Competition
AACL 2025
Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training
ACL 2025
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
IJCAI 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
Multi-View Active Learning for Short Text Classification in User-Generated Data
EMNLP 2022
Federated Pruning: Improving Neural Network Efficiency with Federated Learning
INTERSPEECH 2022
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data
NAACL 2021
Learning with Hyperspherical Uniformity
AISTATS 2021
Orthogonal Over-Parameterized Training
CVPR 2021
Integer-Arithmetic-Only Certified Robustness for Quantized Neural Networks
ICCV 2021
Private Stochastic Non-convex Optimization with Improved Utility Rates
IJCAI 2021
Certified Robustness to Word Substitution Attack with Differential Privacy
NAACL 2021
Federated Graph Classification over Non-IID Graphs
NIPS 2021
Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries
EMNLP 2020
Regularizing Neural Networks via Minimizing Hyperspherical Energy
CVPR 2020