Carlee Joe-Wong
24 papers · 2020–2026 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 29% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Carlee Joe-Wong?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Xutong Liu, Jinhang Zuo, Wei Chen
7 papers
· 2020–2026
· AAAI, AISTATS, UAI
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FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching
UAI 2026
Offline Learning for Combinatorial Multi-armed Bandits
ICML 2025
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
NeurIPS 2022
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
AAAI 2022
Online Competitive Influence Maximization
AISTATS 2022
Towards Flexible Device Participation in Federated Learning
AISTATS 2021
Observe Before Play: Multi-Armed Bandit with Pre-Observations
AAAI 2020
6 papers whose co-authors appear nowhere else under this name
Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract)
AAAI 2026
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
AISTATS 2025
Neural Combinatorial Clustered Bandits for Recommendation Systems
AAAI 2025
Quantifying and Mitigating Selection Bias in LLMs: A Transferable LoRA Fine-Tuning and Efficient Majority Voting Approach
IJCNLP 2025
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
NeurIPS 2024
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
NeurIPS 2024