| 2026 | AAAI | Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract). | Narjes Nourzad, Carlee Joe-Wong |
| 2026 | ICDCS | Fleet-Level Optimization for Heterogeneous Device Provisioning in ML Model Deployments. | Harry H. Jiang, Carlee Joe-Wong |
| 2026 | INFOCOM | Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation. | Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C. S. Lui, Wei Chen, Carlee Joe-Wong |
| 2026 | Mobisys | Poster: Accelerating Offloaded ViT Inference via Progressive Refinement. | Chanjeong Park, Gibum Park, Carlee Joe-Wong, Kyunghan Lee |
| 2026 | Mobisys | Ouroboros: Instilling Motion Awareness in ViTs for Efficient Video Analytics on the Edge. | Chanjeong Park, Donggyu Yang, Sooyoung Kwon, Gibum Park, Carlee Joe-Wong, Kyunghan Lee |
| 2026 | PAKDD | Federated Large Language Models: Current Progress and Future Directions. | Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong |
| 2025 | AAAI | Neural Combinatorial Clustered Bandits for Recommendation Systems. | Baran Atalar, Carlee Joe-Wong |
| 2025 | AISTATS | Federated Communication-Efficient Multi-Objective Optimization. | Baris Askin, Pranay Sharma, Gauri Joshi, Carlee Joe-Wong |
| 2025 | AISTATS | FedBaF: Federated Learning Aggregation Biased by a Foundation Model. | Jong-Ik Park, Srinivasa Pranav, Jos M. F. Moura, Carlee Joe-Wong |
| 2025 | ICASSP | FedTLU: Federated Learning with Targeted Layer Updates. | Jong-Ik Park, Carlee Joe-Wong |
| 2025 | ICDCS | TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction. | Weijie Liu, Ziwei Zhan, Carlee Joe-Wong, Edith C. H. Ngai, Jingpu Duan, Deke Guo, Xu Chen, Xiaoxi Zhang |
| 2025 | ICLR | Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy. | Ishank Juneja, Carlee Joe-Wong, Osman Yagan |
| 2025 | ICML | Offline Learning for Combinatorial Multi-armed Bandits. | Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen |
| 2025 | IJCNLP | Quantifying and Mitigating Selection Bias in LLMs: A Transferable LoRA Fine-Tuning and Efficient Majority Voting Approach. | Blessed Guda, Lawrence Francis, Gabrial Zencha Ashungafac, Carlee Joe-Wong, Moise Busogi |
| 2025 | VTC | Group-Based Client Sampling in Multi-Model Federated Learning. | Zejun Gong, Haoran Zhang, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi |
| 2025 | UAI | FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning. | I-Cheng Lin, Osman Yagan, Carlee Joe-Wong |
| 2024 | AAAI | RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning. | Jingdi Chen, Tian Lan, Carlee Joe-Wong |
| 2024 | GLOBECOM | QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option Shuffling. | Blessed Guda, Gabrial Zencha Ashungafac, Lawrence Francis, Carlee Joe-Wong |
| 2024 | ICDCS | Poster: Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning. | Haoran Zhang, Zekai Li, Zejun Gong, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi |
| 2024 | INFOCOM | Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits. | Taejin Kim, Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong |
| 2024 | INFOCOM | Distributed Experimental Design Networks. | Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis |
| 2024 | KDD | FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. | 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 |
| 2024 | Mobisys | Poster: Drive-by City Wide Trash Sensing for Neighborhood Sanitation Need. | Tomas Samuel Fernandez, Yen-Cheng Chang, Jesse R. Codling, Yiwen Dong, Jiale Zhang, Carlee Joe-Wong, Hae Young Noh, Pei Zhang |
| 2024 | UAI | FedAST: Federated Asynchronous Simultaneous Training. | Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi |
| 2023 | AISTATS | Characterizing Internal Evasion Attacks in Federated Learning. | Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong |
| 2023 | CISS | ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations. | Marie Siew, Shikhar Sharma, Carlee Joe-Wong |
| 2023 | INFOCOM | Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency. | Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen |
| 2023 | INFOCOM | Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback. | Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui |
| 2023 | IWQoS | AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning. | Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen |
| 2023 | MOBIHOC | Cache-Enabled Federated Learning Systems. | Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew |
| 2023 | SECON | Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning. | Yi Hu, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong |
| 2023 | SECON | EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning. | Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen |
| 2023 | WiOpt | DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances. | Harry H. Jiang, Xiaoxi Zhang, Carlee Joe-Wong |
| 2022 | AAAI | FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. | Yichen Ruan, Carlee Joe-Wong |
| 2022 | AISTATS | Can we Generalize and Distribute Private Representation Learning? | Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton |
| 2022 | AISTATS | Online Competitive Influence Maximization. | Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen |
| 2022 | CIKM | Hierarchical Conversational Preference Elicitation with Bandit Feedback. | Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong |
| 2022 | INFOCOM | MoDEMS: Optimizing Edge Computing Migrations for User Mobility. | Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong |
| 2022 | MOBIHOC | Correlated combinatorial bandits for online resource allocation. | Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan |
| 2021 | AAAI | Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. | Yuhang Yao, Carlee Joe-Wong |
| 2021 | AISTATS | Towards Flexible Device Participation in Federated Learning. | Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong |
| 2021 | CISS | Combinatorial Multi-armed Bandits for Resource Allocation. | Jinhang Zuo, Carlee Joe-Wong |
| 2021 | CLOUD | On Merits and Viability of Multi-Cloud Serverless. | Ataollah Fatahi Baarzi, George Kesidis, Carlee Joe-Wong, Mohammad Shahrad |
| 2021 | ICDM | GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs. | Yucai Fan, Yuhang Yao, Carlee Joe-Wong |
| 2021 | IWQoS | MoDEMS: Optimizing Edge Computing Migrations For User Mobility. | Taejin Kim, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong |
| 2021 | SECON | Incentivizing Opportunistic Data Collection for Time-Sensitive IoT Applications. | Pranvera Kortoi, Abbas Mehrabi, Carlee Joe-Wong, Mario Di Francesco |
| 2021 | WiOpt | How Valuable Is Your Data? Optimizing Device Recruitment in Federated Learning. | Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong |
| 2020 | AAAI | Observe Before Play: Multi-Armed Bandit with Pre-Observations. | Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong |
| 2020 | ICDCS | A Community Platform for Research on Pricing and Distributed Machine Learning. | Xuanzhe Li, Samuel Gomena, Logan Ballard, Juntao Li, Ehsan Aryafar, Carlee Joe-Wong |
| 2020 | ICDCS | SPARCLE: Stream Processing Applications over Dispersed Computing Networks. | Parisa Rahimzadeh, Jinsung Lee, Youngbin Im, Siun-Chuon Mau, Eric C. Lee, Bradford O. Smith, Fatemah Al-Duoli, Carlee Joe-Wong, Sangtae Ha |
| 2020 | INFOCOM | Coded Edge Computing. | Kwang Taik Kim, Carlee Joe-Wong, Mung Chiang |
| 2020 | INFOCOM | Distributed Inference Acceleration with Adaptive DNN Partitioning and Offloading. | Thaha Mohammed, Carlee Joe-Wong, Rohit Babbar, Mario Di Francesco |
| 2020 | INFOCOM | On the Economic Value of Mobile Caching. | Yichen Ruan, Carlee Joe-Wong |
| 2020 | INFOCOM | Network-Aware Optimization of Distributed Learning for Fog Computing. | Yuwei Tu, Yichen Ruan, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong |
| 2020 | INFOCOM | Machine Learning on Volatile Instances. | Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong |
| 2019 | EuroSys | I Sent It: Where Does Slow Data Go to Wait? | Youngbin Im, Parisa Rahimzadeh, Brett Shouse, Shinik Park, Carlee Joe-Wong, Kyunghan Lee, Sangtae Ha |
| 2019 | ICDCS | ECHO: Efficiently Overbooking Applications to Create a Highly Available Cloud. | Parisa Rahimzadeh, Youngbin Im, Gueyoung Jung, Carlee Joe-Wong, Sangtae Ha |
| 2019 | ICNP | Towards Automated Network Management: Learning the Optimal Protocol Selection. | Xiaoxi Zhang, Siqi Chen, Youngbin Im, Maria Gorlatova, Sangtae Ha, Carlee Joe-Wong |
| 2019 | INFOCOM | Burstable Instances for Clouds: Performance Modeling, Equilibrium Analysis, and Revenue Maximization. | Yuxuan Jiang, Mohammad Shahrad, David Wentzlaff, Danny H. K. Tsang, Carlee Joe-Wong |
| 2019 | INFOCOM | Fog-based Data Offloading in Urban IoT Scenarios. | Pranvera Kortoi, Liang Zheng, Carlee Joe-Wong, Mario Di Francesco, Mung Chiang |
| 2019 | Mobisys | CASTLE over the Air: Distributed Scheduling for Cellular Data Transmissions. | Jihoon Lee, Jinsung Lee, Youngbin Im, Sandesh Dhawaskar Sathyanarayana, Parisa Rahimzadeh, Xiaoxi Zhang, Max Hollingsworth, Carlee Joe-Wong, Dirk Grunwald, Sangtae Ha |
| 2019 | Mobisys | CASTLE over the Air - Distributed Scheduling for Cellular Data Transmissions. | Sandesh Dhawaskar Sathyanarayana, Jihoon Lee, Jinsung Lee, Youngbin Im, Parisa Rahimzadeh, Xiaoxi Zhang, Max Hollingsworth, Carlee Joe-Wong, Dirk Grunwald, Sangtae Ha |
| 2019 | SIGCOMM | An Edge Computing Marketplace for Distributed Machine Learning. | Susham Yerabolu, Samuel Gomena, Ehsan Aryafar, Carlee Joe-Wong |
| 2019 | SENSYS | Edge-assisted collaborative image recognition for augmented reality: demo abstract. | Jovan Stojkovic, Zida Liu, Guohao Lan, Carlee Joe-Wong, Maria Gorlatova |
| 2018 | EDM | Principles for Assessing Adaptive Online Courses. | Weiyu Chen, Carlee Joe-Wong, Christopher G. Brinton, Liang Zheng, Da Cao |
| 2018 | INFOCOM | To Accept or Not to Accept: The Question of Supplemental Discount Offers in Mobile Data Plans. | Madhumitha Harishankar, Nagarjun Srinivasan, Carlee Joe-Wong, Patrick Tague |
| 2018 | INFOCOM | Learning Cloud Dynamics to Optimize Spot Instance Bidding Strategies. | Mikhail Khodak, Liang Zheng, Andrew S. Lan, Carlee Joe-Wong, Mung Chiang |
| 2018 | INFOCOM | MOVI: A Model-Free Approach to Dynamic Fleet Management. | Takuma Oda, Carlee Joe-Wong |
| 2018 | INFOCOM | Predicting Learner Interactions in Social Learning Networks. | Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong |
| 2018 | INFOCOM | Optimizing Data Plans: Usage Dynamics in Mobile Data Networks. | Liang Zheng, Carlee Joe-Wong, Matthew Andrews, Mung Chiang |
| 2017 | ICDCS | Max-Min Fair Resource Allocation in HetNets: Distributed Algorithms and Hybrid Architecture. | Ehsan Aryafar, Alireza Keshavarz-Haddad, Carlee Joe-Wong, Mung Chiang |
| 2017 | ICDCS | FLARE: Coordinated Rate Adaptation for HTTP Adaptive Streaming in Cellular Networks. | Youngbin Im, Jinyoung Han, Ji Hoon Lee, Yoon Kwon, Carlee Joe-Wong, Ted Taekyoung Kwon, Sangtae Ha |
| 2017 | INFOCOM | Discovering valuations and enforcing truthfulness in a deadline-aware scheduler. | Zhe Huang, S. Matthew Weinberg, Liang Zheng, Carlee Joe-Wong, Mung Chiang |
| 2017 | INFOCOM | SVC-TChain: Incentivizing good behavior in layered P2P video streaming. | Parisa Rahimzadeh, Carlee Joe-Wong, Kyuyong Shin, Youngbin Im, Jongdeog Lee, Sangtae Ha |
| 2017 | INFOCOM | Economic viability of a virtual ISP. | Liang Zheng, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee Wei Tan, Mung Chiang |
| 2017 | WiOpt | An economic analysis of wireless network infrastructure sharing. | Liang Zheng, Jiasi Chen, Carlee Joe-Wong, Chee-Wei Tan, Mung Chiang |
| 2016 | ICDCS | A Performance Analysis of Incentive Mechanisms for Cooperative Computing. | Carlee Joe-Wong, Youngbin Im, Kyuyong Shin, Sangtae Ha |
| 2016 | INFOCOM | Understanding rollover data. | Liang Zheng, Carlee Joe-Wong |
| 2016 | SIGMETRICS | On the Viability of a Cloud Virtual Service Provider. | Liang Zheng, Carlee Joe-Wong, Christopher G. Brinton, Chee-Wei Tan, Sangtae Ha, Mung Chiang |
| 2015 | EuroSys | CYRUS: towards client-defined cloud storage. | Jae Yoon Chung, Carlee Joe-Wong, Sangtae Ha, James Won-Ki Hong, Mung Chiang |
| 2015 | ICDCS | T-Chain: A General Incentive Scheme for Cooperative Computing. | Kyuyong Shin, Carlee Joe-Wong, Sangtae Ha, Yung Yi, Injong Rhee, Douglas S. Reeves |
| 2015 | INFOCOM | Sponsoring mobile data: An economic analysis of the impact on users and content providers. | Carlee Joe-Wong, Sangtae Ha, Mung Chiang |
| 2015 | INFOCOM | Secondary markets for mobile data: Feasibility and benefits of traded data plans. | Liang Zheng, Carlee Joe-Wong, Chee Wei Tan, Sangtae Ha, Mung Chiang |
| 2015 | IWQoS | Improving user QoE for residential broadband: Adaptive traffic management at the network edge. | Felix Ming Fai Wong, Carlee Joe-Wong, Sangtae Ha, Zhenming Liu, Mung Chiang |
| 2015 | PAM | Do Mobile Data Plans Affect Usage? Results from a Pricing Trial with ISP Customers. | Carlee Joe-Wong, Sangtae Ha, Soumya Sen, Mung Chiang |
| 2015 | SIGCOMM | How to Bid the Cloud. | Liang Zheng, Carlee Joe-Wong, Chee-Wei Tan, Mung Chiang, Xinyu Wang |
| 2013 | CHI | When the price is right: enabling time-dependent pricing of broadband data. | Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Jasika Bawa, Mung Chiang |
| 2013 | INFOCOM | AMUSE: Empowering users for cost-aware offloading with throughput-delay tradeoffs. | Youngbin Im, Carlee Joe-Wong, Sangtae Ha, Soumya Sen, Ted Taekyoung Kwon, Mung Chiang |
| 2013 | INFOCOM | Offering supplementary wireless technologies: Adoption behavior and offloading benefits. | Carlee Joe-Wong, Soumya Sen, Sangtae Ha |
| 2013 | INFOCOM | Smart data pricing: Lessons from trial planning. | Ming-Jye Sheng, Carlee Joe-Wong, Sangtae Ha, Felix Ming Fai Wong, Soumya Sen |
| 2013 | INFOCOM | Smart Data Pricing: Lessons from trial planning. | Ming-Jye Sheng, Carlee Joe-Wong, Sangtae Ha, Felix Ming Fai Wong, Soumya Sen |
| 2012 | INFOCOM | Multi-resource allocation: Fairness-efficiency tradeoffs in a unifying framework. | Carlee Joe-Wong, Soumya Sen, Tian Lan, Mung Chiang |
| 2012 | Mobisys | Demo: enabling mobile time-dependent pricing. | Sangtae Ha, Soumya Sen, Carlee Joe-Wong, Rdiger Rill, Mung Chiang |
| 2012 | SIGCOMM | TUBE: time-dependent pricing for mobile data. | Sangtae Ha, Soumya Sen, Carlee Joe-Wong, Youngbin Im, Mung Chiang |
| 2011 | ICDCS | Time-Dependent Broadband Pricing: Feasibility and Benefits. | Carlee Joe-Wong, Sangtae Ha, Mung Chiang |