Tianshi Che
7 papers · 2021–2024 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird π Renaissance Researcher (6)
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Research topics
Machine Learning
(5)
Artificial Intelligence
(3)
Application Areas
(3)
Deep Learning
(2)
Learning Paradigms
(2)
Learning Types
(2)
Optimization & Theory Β· Machine Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Analysis
(1)
Core AI
(1)
Keywords
federated learning
(3)
machine unlearning
(2)
certified robustness
(1)
graph matching
(1)
multilingual nlp
(1)
cross-lingual transfer
(1)
dialogue generation
(1)
response generation
(1)
commonsense knowledge
(1)
model aggregation
(1)
gradient descent
(1)
distributed training
(1)
knowledge graph
(1)
adversarial attack
(1)
adaptive optimization
(1)
randomized smoothing
(1)
adversarial defense
(1)
parameter-efficient tuning
(1)
gradient vanishing
(1)
non-iid data
(1)
Papers
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update
AAAI 2024
Exploring the Effectiveness of Multi-Lingual Commonsense Knowledge-Aware Open-Domain Dialogue Response Generation
EMNLP 2023
Fast Federated Machine Unlearning with Nonlinear Functional Theory
ICML 2023
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
EMNLP 2023
Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization
NeurIPS 2022
Adversarial Attack against Cross-lingual Knowledge Graph Alignment
EMNLP 2021
Integrated Defense for Resilient Graph Matching
ICML 2021