Wei Yang Bryan Lim
10 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Conference Polyglot (4) π Academic Marathon (5) π Renaissance Researcher (6) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(24)
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Keyword Pioneer
π£
Hot Topic Early Bird
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Century Club
(10)
Conferences
AAAI (5)
IJCAI (2)
CVPR (1)
EACL (1)
ICLR (1)
Top co-authors
Research topics
Keywords
federated learning
(3)
social distancing
(2)
machine unlearning
(2)
risk management
(1)
data privacy
(1)
model aggregation
(1)
privacy preservation
(1)
time series forecasting
(1)
crowd sourcing
(1)
incentive mechanism
(1)
sparse adapter
(1)
model training
(1)
edge device
(1)
edge computing
(1)
model ensembling
(1)
disease surveillance
(1)
unmanned aerial vehicle
(1)
unlabeled datum
(1)
parameter averaging
(1)
computer vision
(1)
Papers
SEMIROUTER: Sparse-Data Enhanced Routing for Adaptive Multi-LLM System
EACL 2026
M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data
AAAI 2026
Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models
AAAI 2026
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
CVPR 2025
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
ICLR 2025
CrowdFL: A Marketplace for Crowdsourced Federated Learning
AAAI 2022
Dynamic Incentive Mechanism Design for COVID-19 Social Distancing
AAAI 2022
Predictive Analytics for COVID-19 Social Distancing
IJCAI 2021
AI-Empowered Decision Support for COVID-19 Social Distancing
AAAI 2021
Communication-efficient and Scalable Decentralized Federated Edge Learning
IJCAI 2021