Carlee Joe-Wong

249 papers A* 45A 26B 14Misc 5Journal 133Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Combinatorial Logistic Online Learning and Its Applications in Nonlinear Networked Systems. IEEE Trans. Netw. Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Carlee Joe-Wong, Mohammad Hajiesmaili, John C. S. Lui
2026	J	`jnl`	DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision Paths. CoRR Hanqing Yang, Hyungwoo Lee, Yuhang Yao, Zhiwei Liu, Kay Liu, Jingdi Chen, Carlee Joe-Wong
2026	J	`jnl`	EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents. CoRR Hanqing Yang, Shiyu Chen, Narjes Nourzad, Marie Siew, Jingdi Chen, Carlee Joe-Wong
2026	J	`jnl`	Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations. CoRR Baris Askin, Shivam Patel, Anupam Nayak, Andrea Vigano, Jiin Woo, Gauri Joshi, Carlee Joe-Wong
2026	J	`jnl`	MIRA: Memory-Integrated Reinforcement Learning Agent with Limited LLM Guidance. CoRR Narjes Nourzad, Carlee Joe-Wong
2026	A*	`conf`	Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract). AAAI Narjes Nourzad, Carlee Joe-Wong
2026	J	`jnl`	Memory-Based Advantage Shaping for LLM-Guided Reinforcement Learning. CoRR Narjes Nourzad, Carlee Joe-Wong
2026	J	`jnl`	The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why - A Survey from MARL to Emergent Language and LLMs. CoRR Jingdi Chen, Hanqing Yang, Zongjun Liu, Carlee Joe-Wong
2026	J	`jnl`	The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why - A Survey from MARL to Emergent Language and LLMs. Trans. Mach. Learn. Res. Jingdi Chen, Hanqing Yang, Zongjun Liu, Carlee Joe-Wong
2026	J	`jnl`	Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On. IACR Cryptol. ePrint Arch. Yixiang Yao, Yuhang Yao, Xinyi Fan, Jiechao Gao, Jie Wang, Minjia Zhang, Srivatsan Ravi, Carlee Joe-Wong
2025	J	`jnl`	DR. WELL: Dynamic Reasoning and Learning with Symbolic World Model for Embodied LLM-Based Multi-Agent Collaboration. CoRR Narjes Nourzad, Hanqing Yang, Shiyu Chen, Carlee Joe-Wong
2025	J	`jnl`	Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. IEEE Trans. Signal Process. Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2025	J	`jnl`	Evaluating Selective Encryption Against Gradient Inversion Attacks. CoRR Jiajun Gu, Yuhang Yao, Shuaiqi Wang, Carlee Joe-Wong
2025	J	`jnl`	FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes. CoRR Shouxu Lin, Zimeng Pan, Yuhang Yao, Hae Young Noh, Pei Zhang, Carlee Joe-Wong
2025	J	`jnl`	Fair Concurrent Training of Multiple Models in Federated Learning. IEEE Trans. Netw. Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2025	A	`conf`	FedBaF: Federated Learning Aggregation Biased by a Foundation Model. AISTATS Jong-Ik Park, Srinivasa Pranav, José M. F. Moura, Carlee Joe-Wong
2025	A	`conf`	FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning. UAI I-Cheng Lin, Osman Yagan, Carlee Joe-Wong
2025	Misc	`conf`	FedTLU: Federated Learning with Targeted Layer Updates. ICASSP Jong-Ik Park, Carlee Joe-Wong
2025	A	`conf`	Federated Communication-Efficient Multi-Objective Optimization. AISTATS Baris Askin, Pranay Sharma, Gauri Joshi, Carlee Joe-Wong
2025	J	`jnl`	GLUE: Gradient-free Learning to Unify Experts. CoRR Jong-Ik Park, Shreyas Chaudhari, Srinivasa Pranav, Carlee Joe-Wong, José M. F. Moura
2025	—	`conf`	Group-Based Client Sampling in Multi-Model Federated Learning. VTC2025-Spring Zejun Gong, Haoran Zhang, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi
2025	J	`jnl`	Interference-Aware Edge Runtime Prediction with Conformal Matrix Completion. CoRR Tianshu Huang, Arjun Ramesh, Emily Ruppel, Nuno Pereira, Anthony Rowe, Carlee Joe-Wong
2025	—	`conf`	Interference-aware Edge Runtime Prediction with Conformal Matrix Completion. MLSys Tianshu Huang, Arjun Ramesh, Emily Ruppel, Nuno Pereira, Anthony Rowe, Carlee Joe-Wong
2025	J	`jnl`	Introduction to the Special Issue on Performance Evaluation of Federated Learning Systems Part 1. ACM Trans. Model. Perform. Evaluation Comput. Syst. Carlee Joe-Wong, Lili Su
2025	J	`jnl`	Introduction to the Special Issue on Performance Evaluation of Federated Learning Systems Part 2. ACM Trans. Model. Perform. Evaluation Comput. Syst. Carlee Joe-Wong, Lili Su
2025	J	`jnl`	LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning. CoRR Hanqing Yang, Jingdi Chen, Marie Siew, Tania Lorido-Botran, Carlee Joe-Wong
2025	J	`jnl`	Language Model Planning from an Information Theoretic Perspective. CoRR Muhammed Ustaomeroglu, Baris Askin, Gauri Joshi, Carlee Joe-Wong, Guannan Qu
2025	J	`jnl`	M3Net: A Multi-Metric Mixture of Experts Network Digital Twin with Graph Neural Networks. CoRR Blessed Guda, Carlee Joe-Wong
2025	J	`jnl`	MZEN: Multi-Zoom Enhanced NeRF for 3-D Reconstruction with Unknown Camera Poses. CoRR Jong-Ik Park, Carlee Joe-Wong, Gary K. Fedder
2025	J	`jnl`	Neural Bandit Based Optimal LLM Selection for a Pipeline of Tasks. CoRR Baran Atalar, Eddie Zhang, Carlee Joe-Wong
2025	A*	`conf`	Neural Combinatorial Clustered Bandits for Recommendation Systems. AAAI Baran Atalar, Carlee Joe-Wong
2025	J	`jnl`	Offline Clustering of Linear Bandits: Unlocking the Power of Clusters in Data-Limited Environments. CoRR Jingyuan Liu, Zeyu Zhang, Xuchuang Wang, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili, Carlee Joe-Wong
2025	J	`jnl`	Offline Clustering of Preference Learning with Active-data Augmentation. CoRR Jingyuan Liu, Fatemeh Ghaffari, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili, Carlee Joe-Wong
2025	A*	`conf`	Offline Learning for Combinatorial Multi-armed Bandits. ICML Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2025	J	`jnl`	Offline Learning for Combinatorial Multi-armed Bandits. CoRR Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2025	A*	`conf`	Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy. ICLR Ishank Juneja, Carlee Joe-Wong, Osman Yagan
2025	J	`jnl`	Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy. CoRR Ishank Juneja, Carlee Joe-Wong, Osman Yagan
2025	—	`conf`	Quantifying and Mitigating Selection Bias in LLMs: A Transferable LoRA Fine-Tuning and Efficient Majority Voting Approach. IJCNLP-AACL (Findings) Blessed Guda, Lawrence Francis, Gabrial Zencha Ashungafac, Carlee Joe-Wong, Moise Busogi
2025	J	`jnl`	Quantifying and Mitigating Selection Bias in LLMs: A Transferable LoRA Fine-Tuning and Efficient Majority Voting Approach. CoRR Blessed Guda, Lawrence Francis, Gabrial Zencha Ashungafac, Carlee Joe-Wong, Moise Busogi
2025	J	`jnl`	Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning. CoRR Baris Askin, Holger R. Roth, Zhenyu Sun, Carlee Joe-Wong, Gauri Joshi, Ziyue Xu
2025	J	`jnl`	Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation. CoRR Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C. S. Lui, Wei Chen, Carlee Joe-Wong
2025	A	`conf`	TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction. ICDCS Weijie Liu, Ziwei Zhan, Carlee Joe-Wong, Edith C. H. Ngai, Jingpu Duan, Deke Guo, Xu Chen, Xiaoxi Zhang
2025	J	`jnl`	TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction. CoRR Weijie Liu, Ziwei Zhan, Carlee Joe-Wong, Edith C. H. Ngai, Jingpu Duan, Deke Guo, Xu Chen, Xiaoxi Zhang
2025	J	`jnl`	Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training. CoRR Yi Hu, Jinhang Zuo, Eddie Zhang, Bob Iannucci, Carlee Joe-Wong
2025	J	`jnl`	Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning. CoRR Haoran Zhang, Zejun Gong, Zekai Li, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi
2025	J	`jnl`	Variance-Aware Bandit Framework for Dynamic Probabilistic Maximum Coverage Problem With Triggered or Self-Reliant Arms. IEEE Trans. Netw. Xiangxiang Dai, Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui
2024	J	`jnl`	An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems. CoRR Hanqing Yang, Marie Siew, Carlee Joe-Wong
2024	J	`jnl`	CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT. CoRR Yi Hu, Jinhang Zuo, Alanis Zhao, Bob Iannucci, Carlee Joe-Wong
2024	J	`jnl`	DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets. IEEE Trans. Mob. Comput. Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
2024	A*	`conf`	Distributed Experimental Design Networks. INFOCOM YuanYuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis
2024	J	`jnl`	Distributed Experimental Design Networks. CoRR YuanYuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis
2024	A*	`conf`	Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits. INFOCOM Taejin Kim, Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
2024	A*	`conf`	Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning. NeurIPS Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen
2024	A*	`conf`	Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. NeurIPS Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2024	J	`jnl`	Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. CoRR Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2024	J	`jnl`	Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. CoRR Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2024	J	`jnl`	Fair Concurrent Training of Multiple Models in Federated Learning. CoRR Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2024	A	`conf`	FedAST: Federated Asynchronous Simultaneous Training. UAI Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi
2024	J	`jnl`	FedAST: Federated Asynchronous Simultaneous Training. CoRR Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi
2024	J	`jnl`	FedBaF: Federated Learning Aggregation Biased by a Foundation Model. CoRR Jong-Ik Park, Srinivasa Pranav, José M. F. Moura, Carlee Joe-Wong
2024	J	`jnl`	FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks. CoRR Siddharth Ambekar, Yuhang Yao, Ryan Li, Carlee Joe-Wong
2024	J	`jnl`	FedGraph: A Research Library and Benchmark for Federated Graph Learning. CoRR Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong
2024	J	`jnl`	FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning. CoRR I-Cheng Lin, Osman Yagan, Carlee Joe-Wong
2024	A*	`conf`	FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. KDD 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	J	`jnl`	FedTLU: Federated Learning with Targeted Layer Updates. CoRR Jong-Ik Park, Carlee Joe-Wong
2024	J	`jnl`	Federated Communication-Efficient Multi-Objective Optimization. CoRR Baris Askin, Pranay Sharma, Gauri Joshi, Carlee Joe-Wong
2024	J	`jnl`	Federated Large Language Models: Current Progress and Future Directions. CoRR Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong
2024	—	`conf`	Federated Learning with Flexible Architectures. ECML/PKDD (2) Jong-Ik Park, Carlee Joe-Wong
2024	J	`jnl`	Federated Learning with Flexible Architectures. CoRR Jong-Ik Park, Carlee Joe-Wong
2024	J	`jnl`	How Valuable is Your Data? Optimizing Client Recruitment in Federated Learning. IEEE/ACM Trans. Netw. Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong
2024	J	`jnl`	HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning. CoRR Pamely Zantou, Blessed Guda, Bereket Retta, Gladys Inabeza, Carlee Joe-Wong, Assane Gueye
2024	J	`jnl`	Learning With Side Information: Elastic Multi-Resource Control for the Open RAN. IEEE J. Sel. Areas Commun. Xiaoxi Zhang, Jinhang Zuo, Zhe Huang, Zhi Zhou, Xu Chen, Carlee Joe-Wong
2024	J	`jnl`	Neural Combinatorial Clustered Bandits for Recommendation Systems. CoRR Baran Atalar, Carlee Joe-Wong
2024	J	`jnl`	Online Management for Edge-Cloud Collaborative Continuous Learning: A Two-Timescale Approach. IEEE Trans. Mob. Comput. Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Dongxiao Yu, Yu Wu, Xu Chen
2024	—	`conf`	Poster Abstract: Listen and Then Sense: Vibration-based Sports Crowd Monitoring by Pre-training with Public Audio Datasets. IPSN Yen-Cheng Chang, Jesse R. Codling, Yiwen Dong, Jiale Zhang, Jeffrey D. Shulkin, Hugo Latapie, Carlee Joe-Wong, Hae Young Noh, Pei Zhang
2024	A	`conf`	Poster: Drive-by City Wide Trash Sensing for Neighborhood Sanitation Need. MobiSys Tomas Fernandez, Yen-Cheng Chang, Jesse R. Codling, Yiwen Dong, Jiale Zhang, Carlee Joe-Wong, Hae Young Noh, Pei Zhang
2024	A	`conf`	Poster: Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning. ICDCS Haoran Zhang, Zekai Li, Zejun Gong, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi
2024	—	`ed.`	Proceedings of the CoNEXT on Student Workshop 2024, CoNEXT-SW 2024, Los Angeles, CA, USA, December 9-12, 2024 StudentWorkshop@CoNEXT Carlee Joe-Wong, Matteo Varvello
2024	—	`conf`	QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option Shuffling. GLOBECOM (Workshops) Blessed Guda, Gabrial Zencha Ashungafac, Lawrence Francis, Carlee Joe-Wong
2024	J	`jnl`	QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option Shuffling. CoRR Blessed Guda, Gabrial Zencha Ashungafac, Lawrence Francis, Carlee Joe-Wong
2024	A*	`conf`	RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning. AAAI Jingdi Chen, Tian Lan, Carlee Joe-Wong
2024	A*	`conf`	RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. NeurIPS Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2024	J	`jnl`	RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. CoRR Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2024	J	`jnl`	TREACLE: Thrifty Reasoning via Context-Aware LLM and Prompt Selection. CoRR Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen
2024	J	`jnl`	Towards Effective Resource Procurement in MEC: A Resource Re-Selling Framework. IEEE Trans. Serv. Comput. Marie Siew, Shikhar Sharma, Kun Guo, Desmond W. H. Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek
2023	Misc	`conf`	ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations. CISS Marie Siew, Shikhar Sharma, Carlee Joe-Wong
2023	B	`conf`	AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning. IWQoS Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
2023	J	`jnl`	Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning. CoRR Taejin Kim, Jiarui Li, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong
2023	—	`conf`	An Online Control Approach of Collaborative Federated Learning with Constrained Resources. APNet Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen
2023	B	`conf`	Cache-Enabled Federated Learning Systems. MobiHoc Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew
2023	A	`conf`	Characterizing Internal Evasion Attacks in Federated Learning. AISTATS Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong
2023	J	`jnl`	Correlated Combinatorial Bandits for Online Resource Allocation. SIGMETRICS Perform. Evaluation Rev. Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan
2023	B	`conf`	DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances. WiOpt Harry H. Jiang, Xiaoxi Zhang, Carlee Joe-Wong
2023	J	`jnl`	DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset. CoRR Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
2023	J	`jnl`	Dynamic Coupling Strategy for Interdependent Network Systems Against Cascading Failures. IEEE Trans. Netw. Sci. Eng. I-Cheng Lin, Osman Yagan, Carlee Joe-Wong
2023	B	`conf`	EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning. SECON Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen
2023	—	`conf`	Evaluating the Optimality of Dynamic Coupling Strategies in Interdependent Network Systems. ICC I-Cheng Lin, Osman Yagan, Carlee Joe-Wong
2023	A*	`conf`	FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks. NeurIPS Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong
2023	J	`jnl`	FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. CoRR Weizhao Jin, Yuhang Yao, Shanshan Han, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He
2023	—	`conf`	FedRule: Federated Rule Recommendation System with Graph Neural Networks. IoTDI Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu
2023	—	`conf`	Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency. INFOCOM Workshops Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
2023	—	`conf`	GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. MLSys Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
2023	J	`jnl`	GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. CoRR Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
2023	B	`conf`	Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning. SECON Yi Hu, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong
2023	J	`jnl`	Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning. CoRR Yi Hu, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong
2023	J	`jnl`	MoDEMS: Optimizing Edge Computing Migrations for User Mobility. IEEE J. Sel. Areas Commun. Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong
2023	—	`conf`	Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks. e-Energy Roozbeh Bostandoost, Bo Sun, Carlee Joe-Wong, Mohammad H. Hajiesmaili
2023	J	`jnl`	Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks. CoRR Roozbeh Bostandoost, Bo Sun, Carlee Joe-Wong, Mohammad H. Hajiesmaili
2023	J	`jnl`	Optimal Network Protocol Selection for Competing Flows via Online Learning. IEEE Trans. Mob. Comput. Xiaoxi Zhang, Siqi Chen, Yunfan Zhang, Youngbin Im, Maria Gorlatova, Sangtae Ha, Carlee Joe-Wong
2023	—	`conf`	Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. IPSN Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2023	J	`jnl`	Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. CoRR Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton
2023	J	`jnl`	Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. IEEE/ACM Trans. Netw. Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton
2023	—	`conf`	Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CDC Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2023	J	`jnl`	Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CoRR Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2023	A*	`conf`	Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback. INFOCOM Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui
2023	A*	`conf`	Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking. NeurIPS Mohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu, Zhongwei Cheng, Lin Chen, Liangju Li, Carlee Joe-Wong, Jiebo Luo
2023	J	`jnl`	pFedDef: Characterizing evasion attack transferability in federated learning. Softw. Impacts Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong
2022	Misc	`conf`	A neural-based bandit approach to mobile crowdsourcing. HotMobile Shouxu Lin, Yuhang Yao, Pei Zhang, Hae Young Noh, Carlee Joe-Wong
2022	A*	`conf`	Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. NeurIPS Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2022	J	`jnl`	Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. CoRR Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2022	A	`conf`	Can we Generalize and Distribute Private Representation Learning? AISTATS Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton
2022	B	`conf`	Correlated combinatorial bandits for online resource allocation. MobiHoc Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan
2022	J	`jnl`	DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances. SIGMETRICS Perform. Evaluation Rev. Harry H. Jiang, Xiaoxi Zhang, Carlee Joe-Wong
2022	J	`jnl`	Dynamic Coupling Strategy for Interdependent Network Systems Against Cascading Failures. CoRR I-Cheng Lin, Carlee Joe-Wong, Osman Yagan
2022	J	`jnl`	Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality. ACM Trans. Sens. Networks Guohao Lan, Zida Liu, Yunfan Zhang, Tim Scargill, Jovan Stojkovic, Carlee Joe-Wong, Maria Gorlatova
2022	J	`jnl`	FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations. CoRR Marie Siew, Shikhar Sharma, Kun Guo, Chao Xu, Tony Q. S. Quek, Carlee Joe-Wong
2022	J	`jnl`	Faithful Explanations for Deep Graph Models. CoRR Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam Datta
2022	J	`jnl`	FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks. CoRR Yuhang Yao, Carlee Joe-Wong
2022	J	`jnl`	FedRule: Federated Rule Recommendation System with Graph Neural Networks. CoRR Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu
2022	A*	`conf`	FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. AAAI Yichen Ruan, Carlee Joe-Wong
2022	A	`conf`	Hierarchical Conversational Preference Elicitation with Bandit Feedback. CIKM Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
2022	J	`jnl`	Hierarchical Conversational Preference Elicitation with Bandit Feedback. CoRR Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
2022	J	`jnl`	Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs. IEEE/ACM Trans. Netw. Xiaoxi Zhang, Jianyu Wang, Li-Feng Lee, Tom Yang, Akansha Kalra, Gauri Joshi, Carlee Joe-Wong
2022	A*	`conf`	MoDEMS: Optimizing Edge Computing Migrations for User Mobility. INFOCOM Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong
2022	A	`conf`	Online Competitive Influence Maximization. AISTATS Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2022	J	`jnl`	Plan B: Design Methodology for Cyber-Physical Systems Robust to Timing Failures. ACM Trans. Cyber Phys. Syst. Mohammad Khayatian, Mohammadreza Mehrabian, Edward Andert, Reese Grimsley, Kyle Liang, Yi Hu, Ian McCormack, Carlee Joe-Wong, Jonathan Aldrich, Bob Iannucci, Aviral Shrivastava
2022	—	`ed.`	Proceedings of the 1st International Workshop on Native Network Intelligence, NativeNi 2022, Rome, Italy, 9 December 2022 NativeNi@CoNEXT Alessandro Finamore, Marco Fiore, Carlee Joe-Wong
2022	J	`jnl`	Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework. CoRR Marie Siew, Kun Guo, Desmond W. H. Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek
2022	J	`jnl`	pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning. CoRR Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong
2021	Misc	`conf`	Combinatorial Multi-armed Bandits for Resource Allocation. CISS Jinhang Zuo, Carlee Joe-Wong
2021	J	`jnl`	Combinatorial Multi-armed Bandits for Resource Allocation. CoRR Jinhang Zuo, Carlee Joe-Wong
2021	—	`conf`	Datanet: Enabling Seamless, Metered and Trusted Internet Connectivity without Subscriptions. ICC Workshops Madhumitha Harishankar, Jinhang Zuo, Sriram Venkateswaran Iyer, Patrick Tague, Carlee Joe-Wong
2021	J	`jnl`	FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. CoRR Yichen Ruan, Carlee Joe-Wong
2021	A*	`conf`	GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs. ICDM Yucai Fan, Yuhang Yao, Carlee Joe-Wong
2021	J	`jnl`	GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs. CoRR Yucai Fan, Yuhang Yao, Carlee Joe-Wong
2021	B	`conf`	How Valuable Is Your Data? Optimizing Device Recruitment in Federated Learning. WiOpt Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong
2021	B	`conf`	Incentivizing Opportunistic Data Collection for Time-Sensitive IoT Applications. SECON Pranvera Kortoçi, Abbas Mehrabi, Carlee Joe-Wong, Mario Di Francesco
2021	A*	`conf`	Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. AAAI Yuhang Yao, Carlee Joe-Wong
2021	B	`conf`	MoDEMS: Optimizing Edge Computing Migrations For User Mobility. IWQoS Taejin Kim, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong
2021	J	`jnl`	Network-Aware Optimization of Distributed Learning for Fog Computing. IEEE/ACM Trans. Netw. Su Wang, Yichen Ruan, Yuwei Tu, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
2021	—	`conf`	On Merits and Viability of Multi-Cloud Serverless. SoCC Ataollah Fatahi Baarzi, George Kesidis, Carlee Joe-Wong, Mohammad Shahrad
2021	A	`conf`	Towards Flexible Device Participation in Federated Learning. AISTATS Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong
2020	A	`conf`	A Community Platform for Research on Pricing and Distributed Machine Learning. ICDCS Xuanzhe Li, Samuel Gomena, Logan Ballard, Juntao Li, Ehsan Aryafar, Carlee Joe-Wong
2020	—	`conf`	A generative simulation platform for multi-agent systems with incentives. UbiComp/ISWC Adjunct Zhengwei Wu, Xiaoxi Zhang, Susu Xu, Xinlei Chen, Pei Zhang, Hae Young Noh, Carlee Joe-Wong
2020	J	`jnl`	Burstable Instances for Clouds: Performance Modeling, Equilibrium Analysis, and Revenue Maximization. IEEE/ACM Trans. Netw. Yuxuan Jiang, Mohammad Shahrad, David Wentzlaff, Danny H. K. Tsang, Carlee Joe-Wong
2020	A*	`conf`	Coded Edge Computing. INFOCOM Kwang Taik Kim, Carlee Joe-Wong, Mung Chiang
2020	—	`conf`	CollabAR: Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality. IPSN Zida Liu, Guohao Lan, Jovan Stojkovic, Yunfan Zhang, Carlee Joe-Wong, Maria Gorlatova
2020	A*	`conf`	Distributed Inference Acceleration with Adaptive DNN Partitioning and Offloading. INFOCOM Thaha Mohammed, Carlee Joe-Wong, Rohit Babbar, Mario Di Francesco
2020	J	`jnl`	Economic Viability of a Virtual ISP. IEEE/ACM Trans. Netw. Shengxin Liu, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee-Wei Tan, Liang Zheng
2020	J	`jnl`	Guest Editorial: Smart Data Pricing for Next-Generation Networks. IEEE J. Sel. Areas Commun. Mung Chiang, Rachid El Azouzi, Lin Gao, Jianwei Huang, Carlee Joe-Wong, Soumya Sen
2020	J	`jnl`	Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. CoRR Yuhang Yao, Carlee Joe-Wong
2020	A*	`conf`	Machine Learning on Volatile Instances. INFOCOM Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong
2020	J	`jnl`	Machine Learning on Volatile Instances. CoRR Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong
2020	A*	`conf`	Network-Aware Optimization of Distributed Learning for Fog Computing. INFOCOM Yuwei Tu, Yichen Ruan, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
2020	J	`jnl`	Network-Aware Optimization of Distributed Learning for Fog Computing. CoRR Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
2020	A*	`conf`	Observe Before Play: Multi-Armed Bandit with Pre-Observations. AAAI Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
2020	A*	`conf`	On the Economic Value of Mobile Caching. INFOCOM Yichen Ruan, Carlee Joe-Wong
2020	J	`jnl`	Online Competitive Influence Maximization. CoRR Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2020	J	`jnl`	PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile Crowdsensing. IEEE Internet Things J. Xinlei Chen, Susu Xu, Jun Han, Haohao Fu, Xidong Pi, Carlee Joe-Wong, Yong Li, Lin Zhang, Hae Young Noh, Pei Zhang
2020	J	`jnl`	Paid Prioritization with Content Competition. CoRR Parinaz Naghizadeh, Carlee Joe-Wong, Mung Chiang
2020	J	`jnl`	Plasma Go: A Scalable Sidechain Protocol for Flexible Payment Mechanisms in Blockchain-based Marketplaces. CoRR Madhumitha Harishankar, Dimitrios-Georgios Akestoridis, Sriram V. Iyer, Aron Laszka, Carlee Joe-Wong, Patrick Tague
2020	A	`conf`	SPARCLE: Stream Processing Applications over Dispersed Computing Networks. ICDCS Parisa Rahimzadeh, Jinsung Lee, Youngbin Im, Siun-Chuon Mau, Eric C. Lee, Bradford O. Smith, Fatemah Al-Duoli, Carlee Joe-Wong, Sangtae Ha
2020	J	`jnl`	Time-dependent electricity pricing using variable announcement horizons. Energy Inform. Philipp Artur Kienscherf, John Collins, Carlee Joe-Wong, Wolfgang Ketter, Soumya Sen
2020	J	`jnl`	Towards Behavior-Level Explanation for Deep Reinforcement Learning. CoRR Xuan Chen, Zifan Wang, Yucai Fan, Bonan Jin, Piotr Mardziel, Carlee Joe-Wong, Anupam Datta
2020	J	`jnl`	Towards Flexible Device Participation in Federated Learning for Non-IID Data. CoRR Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong
2020	J	`jnl`	Towards Generalized and Distributed Privacy-Preserving Representation Learning. CoRR Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Christopher G. Brinton, Carlee Joe-Wong, Saurabh Bagchi
2020	J	`jnl`	iLOCuS: Incentivizing Vehicle Mobility to Optimize Sensing Distribution in Crowd Sensing. IEEE Trans. Mob. Comput. Susu Xu, Xinlei Chen, Xidong Pi, Carlee Joe-Wong, Pei Zhang, Hae Young Noh
2019	—	`conf`	ASC: actuation system for city-wide crowdsensing with ride-sharing vehicular platform. SCOPE@CPSIoTWeek Xinlei Chen, Susu Xu, Haohao Fu, Carlee Joe-Wong, Lin Zhang, Hae Young Noh, Pei Zhang
2019	—	`conf`	An Edge Computing Marketplace for Distributed Machine Learning. SIGCOMM Posters and Demos Susham Yerabolu, Samuel Gomena, Ehsan Aryafar, Carlee Joe-Wong
2019	A*	`conf`	Burstable Instances for Clouds: Performance Modeling, Equilibrium Analysis, and Revenue Maximization. INFOCOM Yuxuan Jiang, Mohammad Shahrad, David Wentzlaff, Danny H. K. Tsang, Carlee Joe-Wong
2019	A	`conf`	CASTLE over the Air - Distributed Scheduling for Cellular Data Transmissions. MobiSys Sandesh Dhawaskar Sathyanarayana, Jihoon Lee, Jinsung Lee, Youngbin Im, Parisa Rahimzadeh, Xiaoxi Zhang, Max Hollingsworth, Carlee Joe-Wong, Dirk Grunwald, Sangtae Ha
2019	A	`conf`	CASTLE over the Air: Distributed Scheduling for Cellular Data Transmissions. MobiSys Jihoon Lee, Jinsung Lee, Youngbin Im, Sandesh Dhawaskar Sathyanarayana, Parisa Rahimzadeh, Xiaoxi Zhang, Max Hollingsworth, Carlee Joe-Wong, Dirk Grunwald, Sangtae Ha
2019	A	`conf`	ECHO: Efficiently Overbooking Applications to Create a Highly Available Cloud. ICDCS Parisa Rahimzadeh, Youngbin Im, Gueyoung Jung, Carlee Joe-Wong, Sangtae Ha
2019	Misc	`conf`	Edge-assisted collaborative image recognition for augmented reality: demo abstract. SenSys Jovan Stojkovic, Zida Liu, Guohao Lan, Carlee Joe-Wong, Maria Gorlatova
2019	A*	`conf`	Fog-based Data Offloading in Urban IoT Scenarios. INFOCOM Pranvera Kortoçi, Liang Zheng, Carlee Joe-Wong, Mario Di Francesco, Mung Chiang
2019	A	`conf`	I Sent It: Where Does Slow Data Go to Wait? EuroSys Youngbin Im, Parisa Rahimzadeh, Brett Shouse, Shinik Park, Carlee Joe-Wong, Kyunghan Lee, Sangtae Ha
2019	J	`jnl`	Observe Before Play: Multi-armed Bandit with Pre-observations. CoRR Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
2019	J	`jnl`	Procuring Spontaneous Session-Level Resource Guarantees for Real-Time Applications: An Auction Approach. IEEE J. Sel. Areas Commun. Madhumitha Harishankar, Sireesha Pilaka, Pragya Sharma, Nagarjun Srinivasan, Carlee Joe-Wong, Patrick Tague
2019	A	`conf`	Proportional Fair RAT Aggregation in HetNets. ITC Ehsan Aryafar, Alireza Keshavarz-Haddad, Carlee Joe-Wong
2019	J	`jnl`	Proportional Fair RAT Aggregation in HetNets. CoRR Ehsan Aryafar, Alireza Keshavarz-Haddad, Carlee Joe-Wong
2019	J	`jnl`	Time-Dependent Pricing for Multimedia Data Traffic: Analysis, Systems, and Trials. IEEE J. Sel. Areas Commun. Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Mung Chiang
2019	B	`conf`	Towards Automated Network Management: Learning the Optimal Protocol Selection. ICNP Xiaoxi Zhang, Siqi Chen, Youngbin Im, Maria Gorlatova, Sangtae Ha, Carlee Joe-Wong
2019	—	`conf`	Vehicle dispatching for sensing coverage optimization in mobile crowdsensing systems: poster abstract. IPSN Susu Xu, Xinlei Chen, Xidong Pi, Carlee Joe-Wong, Pei Zhang, Hae Young Noh
2018	J	`jnl`	Harnessing the Power of the Cloud: Revenue, Fairness, and Cloud Neutrality. J. Manag. Inf. Syst. Carlee Joe-Wong, Soumya Sen
2018	J	`jnl`	IDrone: Robust Drone Identification through Motion Actuation Feedback. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Carlos Ruiz Dominguez, Shijia Pan, Adeola Bannis, Xinlei Chen, Carlee Joe-Wong, Hae Young Noh, Pei Zhang
2018	A*	`conf`	Learning Cloud Dynamics to Optimize Spot Instance Bidding Strategies. INFOCOM Mikhail Khodak, Liang Zheng, Andrew S. Lan, Carlee Joe-Wong, Mung Chiang
2018	A*	`conf`	MOVI: A Model-Free Approach to Dynamic Fleet Management. INFOCOM Takuma Oda, Carlee Joe-Wong
2018	J	`jnl`	MOVI: A Model-Free Approach to Dynamic Fleet Management. CoRR Takuma Oda, Carlee Joe-Wong
2018	J	`jnl`	Observe Before Play: Multi-armed Bandit with Pre-Observations. SIGMETRICS Perform. Evaluation Rev. Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
2018	J	`jnl`	On the Economic Value of Vehicular Caching. SIGMETRICS Perform. Evaluation Rev. Yichen Ruan, Carlee Joe-Wong
2018	A*	`conf`	Optimizing Data Plans: Usage Dynamics in Mobile Data Networks. INFOCOM Liang Zheng, Carlee Joe-Wong, Matthew Andrews, Mung Chiang
2018	A*	`conf`	Predicting Learner Interactions in Social Learning Networks. INFOCOM Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong
2018	B	`conf`	Principles for Assessing Adaptive Online Courses. EDM Weiyu Chen, Carlee Joe-Wong, Christopher G. Brinton, Liang Zheng, Da Cao
2018	J	`jnl`	Sponsoring Mobile Data: Analyzing the Impact on Internet Stakeholders. IEEE/ACM Trans. Netw. Carlee Joe-Wong, Soumya Sen, Sangtae Ha
2018	A*	`conf`	To Accept or Not to Accept: The Question of Supplemental Discount Offers in Mobile Data Plans. INFOCOM Madhumitha Harishankar, Nagarjun Srinivasan, Carlee Joe-Wong, Patrick Tague
2017	J	`jnl`	AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs. CoRR Youngbin Im, Carlee Joe-Wong, Sangtae Ha, Soumya Sen, Ted Taekyoung Kwon, Mung Chiang
2017	B	`conf`	An economic analysis of wireless network infrastructure sharing. WiOpt Liang Zheng, Jiasi Chen, Carlee Joe-Wong, Chee-Wei Tan, Mung Chiang
2017	J	`jnl`	Behavior-Based Grade Prediction for MOOCs Via Time Series Neural Networks. IEEE J. Sel. Top. Signal Process. Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong, Mung Chiang
2017	J	`jnl`	Customized Data Plans for Mobile Users: Feasibility and Benefits of Data Trading. IEEE J. Sel. Areas Commun. Liang Zheng, Carlee Joe-Wong, Chee Wei Tan, Sangtae Ha, Mung Chiang
2017	A*	`conf`	Discovering valuations and enforcing truthfulness in a deadline-aware scheduler. INFOCOM Zhe Huang, S. Matthew Weinberg, Liang Zheng, Carlee Joe-Wong, Mung Chiang
2017	A*	`conf`	Economic viability of a virtual ISP. INFOCOM Liang Zheng, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee Wei Tan, Mung Chiang
2017	A	`conf`	FLARE: Coordinated Rate Adaptation for HTTP Adaptive Streaming in Cellular Networks. ICDCS Youngbin Im, Jinyoung Han, Ji Hoon Lee, Yoon Kwon, Carlee Joe-Wong, Ted Taekyoung Kwon, Sangtae Ha
2017	A	`conf`	Max-Min Fair Resource Allocation in HetNets: Distributed Algorithms and Hybrid Architecture. ICDCS Ehsan Aryafar, Alireza Keshavarz-Haddad, Carlee Joe-Wong, Mung Chiang
2017	J	`jnl`	On the Real-time Vehicle Placement Problem. CoRR Abhinav Jauhri, Carlee Joe-Wong, John Paul Shen
2017	A*	`conf`	SVC-TChain: Incentivizing good behavior in layered P2P video streaming. INFOCOM Parisa Rahimzadeh, Carlee Joe-Wong, Kyuyong Shin, Youngbin Im, Jongdeog Lee, Sangtae Ha
2017	J	`jnl`	T-Chain: A General Incentive Scheme for Cooperative Computing. IEEE/ACM Trans. Netw. Kyuyong Shin, Carlee Joe-Wong, Sangtae Ha, Yung Yi, Injong Rhee, Douglas S. Reeves
2016	A	`conf`	A Performance Analysis of Incentive Mechanisms for Cooperative Computing. ICDCS Carlee Joe-Wong, Youngbin Im, Kyuyong Shin, Sangtae Ha
2016	J	`jnl`	AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs. IEEE Trans. Mob. Comput. Youngbin Im, Carlee Joe-Wong, Sangtae Ha, Soumya Sen, Ted Taekyoung Kwon, Mung Chiang
2016	A*	`conf`	On the Viability of a Cloud Virtual Service Provider. SIGMETRICS Liang Zheng, Carlee Joe-Wong, Christopher G. Brinton, Chee-Wei Tan, Sangtae Ha, Mung Chiang
2016	—	`conf`	Understanding rollover data. INFOCOM Workshops Liang Zheng, Carlee Joe-Wong
2015	A	`conf`	CYRUS: towards client-defined cloud storage. EuroSys Jae Yoon Chung, Carlee Joe-Wong, Sangtae Ha, James Won-Ki Hong, Mung Chiang
2015	B	`conf`	Do Mobile Data Plans Affect Usage? Results from a Pricing Trial with ISP Customers. PAM Carlee Joe-Wong, Sangtae Ha, Soumya Sen, Mung Chiang
2015	A*	`conf`	How to Bid the Cloud. SIGCOMM Liang Zheng, Carlee Joe-Wong, Chee-Wei Tan, Mung Chiang, Xinyu Wang
2015	B	`conf`	Improving user QoE for residential broadband: Adaptive traffic management at the network edge. IWQoS Felix Ming Fai Wong, Carlee Joe-Wong, Sangtae Ha, Zhenming Liu, Mung Chiang
2015	J	`jnl`	Interdatacenter Job Routing and Scheduling With Variable Costs and Deadlines. IEEE Trans. Smart Grid Carlee Joe-Wong, Ioannis Kamitsos, Sangtae Ha
2015	J	`jnl`	Offering Supplementary Network Technologies: Adoption Behavior and Offloading Benefits. IEEE/ACM Trans. Netw. Carlee Joe-Wong, Soumya Sen, Sangtae Ha
2015	A*	`conf`	Secondary markets for mobile data: Feasibility and benefits of traded data plans. INFOCOM Liang Zheng, Carlee Joe-Wong, Chee Wei Tan, Sangtae Ha, Mung Chiang
2015	J	`jnl`	Smart data pricing: using economics to manage network congestion. Commun. ACM Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Mung Chiang
2015	A*	`conf`	Sponsoring mobile data: An economic analysis of the impact on users and content providers. INFOCOM Carlee Joe-Wong, Sangtae Ha, Mung Chiang
2015	A	`conf`	T-Chain: A General Incentive Scheme for Cooperative Computing. ICDCS Kyuyong Shin, Carlee Joe-Wong, Sangtae Ha, Yung Yi, Injong Rhee, Douglas S. Reeves
2015	J	`jnl`	The Cloud Needs a Reputation System. CoRR Murad Kablan, Carlee Joe-Wong, Sangtae Ha, Hani Jamjoom, Eric Keller
2014	—	`ed.`	Proceedings of the 6th annual workshop on Wireless of the students, by the students, for the students, S3@MobiCom 2014, Maui, Hawaii, USA, September 7, 2014 S3@MobiCom Tarun Bansal, Carlee Joe-Wong
2013	J	`jnl`	A survey of smart data pricing: Past proposals, current plans, and future trends. ACM Comput. Surv. Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Mung Chiang
2013	A*	`conf`	AMUSE: Empowering users for cost-aware offloading with throughput-delay tradeoffs. INFOCOM Youngbin Im, Carlee Joe-Wong, Sangtae Ha, Soumya Sen, Ted Taekyoung Kwon, Mung Chiang
2013	J	`jnl`	Mind Your Own Bandwidth: An Edge Solution to Peak-hour Broadband Congestion. CoRR Felix Ming Fai Wong, Carlee Joe-Wong, Sangtae Ha, Zhenming Liu, Mung Chiang
2013	J	`jnl`	Multiresource Allocation: Fairness-Efficiency Tradeoffs in a Unifying Framework. IEEE/ACM Trans. Netw. Carlee Joe-Wong, Soumya Sen, Tian Lan, Mung Chiang
2013	A*	`conf`	Offering supplementary wireless technologies: Adoption behavior and offloading benefits. INFOCOM Carlee Joe-Wong, Soumya Sen, Sangtae Ha
2013	—	`conf`	Smart Data Pricing: Lessons from trial planning. INFOCOM Workshops Ming-Jye Sheng, Carlee Joe-Wong, Sangtae Ha, Felix Ming Fai Wong, Soumya Sen
2013	A*	`conf`	Smart data pricing: Lessons from trial planning. INFOCOM Ming-Jye Sheng, Carlee Joe-Wong, Sangtae Ha, Felix Ming Fai Wong, Soumya Sen
2013	A*	`conf`	When the price is right: enabling time-dependent pricing of broadband data. CHI Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Jasika Bawa, Mung Chiang
2012	J	`jnl`	Complementary Wireless Network Technologies: Adoption Behavior and Offloading Benefits CoRR Carlee Joe-Wong, Soumya Sen, Sangtae Ha
2012	A	`conf`	Demo: enabling mobile time-dependent pricing. MobiSys Sangtae Ha, Soumya Sen, Carlee Joe-Wong, Rüdiger Rill, Mung Chiang
2012	J	`jnl`	Incentivizing time-shifting of data: a survey of time-dependent pricing for internet access. IEEE Commun. Mag. Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Mung Chiang
2012	J	`jnl`	Mathematical Frameworks for Pricing in the Cloud: Revenue, Fairness, and Resource Allocations CoRR Carlee Joe-Wong, Soumya Sen
2012	A*	`conf`	Multi-resource allocation: Fairness-efficiency tradeoffs in a unifying framework. INFOCOM Carlee Joe-Wong, Soumya Sen, Tian Lan, Mung Chiang
2012	J	`jnl`	Optimized Day-Ahead Pricing for Smart Grids with Device-Specific Scheduling Flexibility. IEEE J. Sel. Areas Commun. Carlee Joe-Wong, Soumya Sen, Sangtae Ha, Mung Chiang
2012	J	`jnl`	Pricing Data: A Look at Past Proposals, Current Plans, and Future Trends CoRR Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Mung Chiang
2012	A*	`conf`	TUBE: time-dependent pricing for mobile data. SIGCOMM Sangtae Ha, Soumya Sen, Carlee Joe-Wong, Youngbin Im, Mung Chiang
2011	A	`conf`	Time-Dependent Broadband Pricing: Feasibility and Benefits. ICDCS Carlee Joe-Wong, Sangtae Ha, Mung Chiang