conftrace_
← Authors

Carlee Joe-Wong

24 papers · 2020–2026 · 8 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+9 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7)
🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (5) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (104) ⚑ Prolific Year (5) πŸ’Ž Century Club (22) πŸ”₯ Unstoppable (6) ❓ The Questioner

Conferences

AAAI (6) AISTATS (6) NIPS (6) UAI (2) AACL (1) ICLR (1) ICML (1) IJCNLP (1)

Top co-authors

Jinhang Zuo (4) Xutong Liu (3) Wei Chen (3) Yuhang Yao (3) Jingdi Chen (2) Osman Yagan (2) Siwei Wang (2) Taejin Kim (2) John C.S. Lui (2) PRANAY SHARMA (2)

Keywords

federated learning (5) regret bound (4) large language model (3) majority voting (2) distributed learning (2) stochastic optimization (2) multiple choice question (2) low-rank adaptation (2) semi-supervised learning (2) graph convolutional network (2) reinforcement learning (2) multi-armed bandit (2) selection bia (2) online clustering (1) domain adaptation (1) multi-agent reinforcement learning (1) model selection (1) adversarial robustness (1) representation learning (1) feature learning (1)

Papers

Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract) AAAI 2026 Offline Learning for Combinatorial Multi-armed Bandits ICML 2025 Quantifying and Mitigating Selection Bias in LLMs: A Transferable LoRA Fine-Tuning and Efficient Majority Voting Approach IJCNLP 2025 Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy ICLR 2025 Quantifying and Mitigating Selection Bias in LLMs: A Transferable LoRA Fine-Tuning and Efficient Majority Voting Approach AACL 2025 Neural Combinatorial Clustered Bandits for Recommendation Systems AAAI 2025 FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning UAI 2025 FedBaF: Federated Learning Aggregation Biased by a Foundation Model AISTATS 2025 Federated Communication-Efficient Multi-Objective Optimization AISTATS 2025 RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning AAAI 2024 RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space NIPS 2024 Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NIPS 2024 Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability NIPS 2024 FedAST: Federated Asynchronous Simultaneous Training UAI 2024 Characterizing Internal Evasion Attacks in Federated Learning AISTATS 2023 FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks NIPS 2023 Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking NIPS 2023 Can we Generalize and Distribute Private Representation Learning? AISTATS 2022 FedSoft: Soft Clustered Federated Learning with Proximal Local Updating AAAI 2022 Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms NIPS 2022 Online Competitive Influence Maximization AISTATS 2022 Towards Flexible Device Participation in Federated Learning AISTATS 2021 Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks AAAI 2021 Observe Before Play: Multi-Armed Bandit with Pre-Observations AAAI 2020