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Carlee Joe-Wong

15 papers at tracked venues · 9 at CORE A* · active 2024–2026

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Venues

AAAI ×3NeurIPS ×3AISTATS ×2UAI ×2ECML-PKDD ×1ICLR ×1ICML ×1MLSys ×1SIGKDD ×1

Frequent coauthors

Jong-Ik Park
×2
Osman Yagan
×2
Baris Askin
×2
Pranay Sharma
×2
Gauri Joshi
×2
Jingdi Chen
×2
Tian Lan
×2
Narjes Nourzad
×1
Srinivasa Pranav
×1
José M. F. Moura
×1
I-Cheng Lin
×1
Tianshu Huang
×1

Papers

  1. Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract)
    AAAI 2026 ·
    Narjes Nourzad
    , Carlee Joe-Wong
  2. FedBaF: Federated Learning Aggregation Biased by a Foundation Model
    AISTATS 2025 ·
    Jong-Ik Park
    ,
    Srinivasa Pranav
    ,
    José M. F. Moura
    , Carlee Joe-Wong
  3. FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
    UAI 2025 ·
    I-Cheng Lin
    ,
    Osman Yagan
    , Carlee Joe-Wong
  4. Federated Communication-Efficient Multi-Objective Optimization
    AISTATS 2025 ·
    Baris Askin
    ,
    Pranay Sharma
    ,
    Gauri Joshi
    , Carlee Joe-Wong
  5. Interference-aware Edge Runtime Prediction with Conformal Matrix Completion
    MLSys 2025 ·
    Tianshu Huang
    ,
    Arjun Ramesh
    ,
    Emily Ruppel
    ,
    Nuno Pereira
    ,
    Anthony Rowe
    , Carlee Joe-Wong
  6. Neural Combinatorial Clustered Bandits for Recommendation Systems
    AAAI 2025 ·
    Baran Atalar
    , Carlee Joe-Wong
  7. Offline Learning for Combinatorial Multi-armed Bandits
    ICML 2025 ·
    Xutong Liu
    ,
    Xiangxiang Dai
    ,
    Jinhang Zuo
    ,
    Siwei Wang
    , Carlee Joe-Wong,
    John C. S. Lui
    ,
    Wei Chen
  8. Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy
    ICLR 2025 ·
    Ishank Juneja
    , Carlee Joe-Wong,
    Osman Yagan
  9. Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
    NeurIPS 2024 ·
    Xuechen Zhang
    ,
    Zijian Huang
    ,
    Ege Onur Taga
    , Carlee Joe-Wong,
    Samet Oymak
    ,
    Jiasi Chen
  10. Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
    NeurIPS 2024 ·
    Ming Xiang
    ,
    Stratis Ioannidis
    ,
    Edmund Yeh
    , Carlee Joe-Wong,
    Lili Su
  11. FedAST: Federated Asynchronous Simultaneous Training
    UAI 2024 ·
    Baris Askin
    ,
    Pranay Sharma
    , Carlee Joe-Wong,
    Gauri Joshi
  12. FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs
    SIGKDD 2024 ·
    Shanshan Han
    ,
    Baturalp Buyukates
    ,
    Zijian Hu
    ,
    Han Jin
    ,
    Weizhao Jin
    ,
    Lichao Sun
    ,
    Xiaoyang Wang
    ,
    Wenxuan Wu
    ,
    Chulin Xie
    ,
    Yuhang Yao
    ,
    Kai Zhang
    ,
    Qifan Zhang
    ,
    Yuhui Zhang
    , Carlee Joe-Wong,
    Salman Avestimehr
    ,
    Chaoyang He
  13. Federated Learning with Flexible Architectures
    ECML-PKDD 2024 ·
    Jong-Ik Park
    , Carlee Joe-Wong
  14. RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
    AAAI 2024 ·
    Jingdi Chen
    ,
    Tian Lan
    , Carlee Joe-Wong
  15. RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
    NeurIPS 2024 ·
    Jingdi Chen
    ,
    Hanhan Zhou
    ,
    Yongsheng Mei
    , Carlee Joe-Wong,
    Gina C. Adam
    ,
    Nathaniel D. Bastian
    ,
    Tian Lan