Carlee Joe-Wong

Assistant Professor, Carnegie Mellon University

Joined

December 2017

Names

Carlee Joe-Wong

Emails

****@andrew.cmu.edu (Confirmed)

Personal Links

Semantic Scholar

Career & Education History

Assistant Professor

Carnegie Mellon University (cmu.edu)

2016 – Present

Advisors, Relations & Conflicts

PhD Advisor

2011 – Present

Expertise

federated learning

Present

Publications

Fair Concurrent Training of Multiple Models in Federated Learning
Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
- OpenReview Archive Direct Upload
- Readers: Everyone
Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
Baran Atalar, Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
- IEEE INFOCOM 2026
- Readers: Everyone
Group-based Client Sampling in Multi-Model Federated Learning
Zejun Gong, Haoran Zhang, Marie Siew, Carlee Joe-Wong, Rachid El-Azouzi
- The 2025 IEEE 101st Vehicular Technology Conference
- Readers: Everyone
Contextual Bandits with LLM-Derived Priors and Adaptive Calibration
Chengkai Huang, Junda Wu, Hanqing Yang, Xutong Liu, Lei Shi, Tong Yu, Sungchul Kim, Carlee Joe-Wong, Julian McAuley, Quan Z. Sheng, Lina Yao
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Internal Planning in Language Models: Characterizing Horizon and Branch Awareness
Muhammed Ustaomeroglu, Baris Askin, Gauri Joshi, Carlee Joe-Wong, Guannan Qu
- ICLR 2026 Poster
- Readers: Everyone
Offline Clustering of Linear Bandits: The Power of Clusters under Limited Data
Jingyuan Liu, Zeyu Zhang, Xuchuang Wang, Xutong Liu, John C.S. Lui, Mohammad Hajiesmaili, Carlee Joe-Wong
- Submitted to ICLR 2026
- Readers: Everyone
MIRA: Memory-Integrated Reinforcement Learning Agent with Limited LLM Guidance
Narjes Nourzad, Carlee Joe-Wong
- ICLR 2026 Poster
- Readers: Everyone
Neural Bandit Based Optimal LLM Selection for a Pipeline of Tasks
Baran Atalar, Eddie Zhang, Carlee Joe-Wong
- Submitted to ICLR 2026
- Readers: Everyone
The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why - A Survey from MARL to Emergent Language and LLMs
Jingdi Chen, Hanqing Yang, Zongjun Liu, Carlee Joe-Wong
- Accepted by TMLR
- Readers: Everyone
DR. WELL: Dynamic Reasoning and Learning with Symbolic World Model for Embodied LLM-Based Multi-Agent Collaboration
Narjes Nourzad, Hanqing Yang, Shiyu Chen, Carlee Joe-Wong
- LAW
- Readers: Everyone

View all 35 publications

Co-Authors

View all 101 co-authors