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Carlee Joe-Wong
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2020 – today
- 2024
- [j40]Xiaoxi Zhang
, Jinhang Zuo
Learning With Side Information: Elastic Multi-Resource Control for the Open RAN. IEEE J. Sel. Areas Commun. 42(2): 295-309 (2024) - [j39]Weijie Liu
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets. IEEE Trans. Mob. Comput. 23(7): 7664-7679 (2024) - [j38]Shaohui Lin
Online Management for Edge-Cloud Collaborative Continuous Learning: A Two-Timescale Approach. IEEE Trans. Mob. Comput. 23(12): 14561-14574 (2024) - [j37]Yichen Ruan
How Valuable is Your Data? Optimizing Client Recruitment in Federated Learning. IEEE/ACM Trans. Netw. 32(5): 4207-4221 (2024) - [j36]Marie Siew
Towards Effective Resource Procurement in MEC: A Resource Re-Selling Framework. IEEE Trans. Serv. Comput. 17(1): 82-97 (2024) - [c96]Jingdi Chen, Tian Lan, Carlee Joe-Wong:
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning. AAAI 2024: 17327-17336 - [c95]Haoran Zhang, Zekai Li, Zejun Gong, Marie Siew
Poster: Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning. ICDCS 2024: 1446-1447 - [c94]Taejin Kim, Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong:
Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits. INFOCOM 2024: 391-400 - [c93]Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis:
Distributed Experimental Design Networks. INFOCOM 2024: 2368-2377 - [c92]Yen-Cheng Chang, Jesse R. Codling, Yiwen Dong, Jiale Zhang, Jeffrey D. Shulkin, Hugo Latapie, Carlee Joe-Wong, Hae Young Noh, Pei Zhang:
Poster Abstract: Listen and Then Sense: Vibration-based Sports Crowd Monitoring by Pre-training with Public Audio Datasets. IPSN 2024: 285-286 - [c91]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:
FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. KDD 2024: 5070-5081 - [c90]Tomas Fernandez
Poster: Drive-by City Wide Trash Sensing for Neighborhood Sanitation Need. MobiSys 2024: 704-705 - [c89]Jong-Ik Park, Carlee Joe-Wong
Federated Learning with Flexible Architectures. ECML/PKDD (2) 2024: 143-161 - [e3]Carlee Joe-Wong, Matteo Varvello:
Proceedings of the CoNEXT on Student Workshop 2024, CoNEXT-SW 2024, Los Angeles, CA, USA, December 9-12, 2024. ACM 2024, ISBN 979-8-4007-1255-5 [contents] - [i56]Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis:
Distributed Experimental Design Networks. CoRR abs/2401.04996 (2024) - [i55]Hanqing Yang, Marie Siew, Carlee Joe-Wong:
An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems. CoRR abs/2403.16809 (2024) - [i54]Yi Hu, Jinhang Zuo, Alanis Zhao, Bob Iannucci, Carlee Joe-Wong:
CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT. CoRR abs/2403.18451 (2024) - [i53]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. CoRR abs/2404.10091 (2024) - [i52]Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen:
TREACLE: Thrifty Reasoning via Context-Aware LLM and Prompt Selection. CoRR abs/2404.13082 (2024) - [i51]Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong:
Fair Concurrent Training of Multiple Models in Federated Learning. CoRR abs/2404.13841 (2024) - [i50]Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi:
FedAST: Federated Asynchronous Simultaneous Training. CoRR abs/2406.00302 (2024) - [i49]Jong-Ik Park, Carlee Joe-Wong:
Federated Learning with Flexible Architectures. CoRR abs/2406.09877 (2024) - [i48]Blessed Guda, Gabrial Zencha A., Lawrence Francis, Carlee Joe-Wong:
QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option Shuffling. CoRR abs/2409.14175 (2024) - [i47]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:
Federated Large Language Models: Current Progress and Future Directions. CoRR abs/2409.15723 (2024) - [i46]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. CoRR abs/2409.17446 (2024) - [i45]Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong:
FedGraph: A Research Library and Benchmark for Federated Graph Learning. CoRR abs/2410.06340 (2024) - [i44]Baran Atalar, Carlee Joe-Wong:
Neural Combinatorial Clustered Bandits for Recommendation Systems. CoRR abs/2410.14586 (2024) - [i43]Baris Askin, Pranay Sharma, Gauri Joshi, Carlee Joe-Wong:
Federated Communication-Efficient Multi-Objective Optimization. CoRR abs/2410.16398 (2024) - [i42]Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. CoRR abs/2410.16517 (2024) - [i41]Jong-Ik Park, Srinivasa Pranav, José M. F. Moura, Carlee Joe-Wong:
FedBaF: Federated Learning Aggregation Biased by a Foundation Model. CoRR abs/2410.18352 (2024) - [i40]I-Cheng Lin, Osman Yagan, Carlee Joe-Wong:
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning. CoRR abs/2410.18862 (2024) - 2023
- [j35]Taejin Kim
MoDEMS: Optimizing Edge Computing Migrations for User Mobility. IEEE J. Sel. Areas Commun. 41(3): 675-689 (2023) - [j34]Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan:
Correlated Combinatorial Bandits for Online Resource Allocation. SIGMETRICS Perform. Evaluation Rev. 50(4): 20-22 (2023) - [j33]Taejin Kim
pFedDef: Characterizing evasion attack transferability in federated learning. Softw. Impacts 15: 100469 (2023) - [j32]Xiaoxi Zhang
Optimal Network Protocol Selection for Competing Flows via Online Learning. IEEE Trans. Mob. Comput. 22(8): 4822-4836 (2023) - [j31]I-Cheng Lin
Dynamic Coupling Strategy for Interdependent Network Systems Against Cascading Failures. IEEE Trans. Netw. Sci. Eng. 10(4): 2265-2282 (2023) - [j30]Rajeev Sahay
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. IEEE/ACM Trans. Netw. 31(5): 2086-2100 (2023) - [c88]Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong:
Characterizing Internal Evasion Attacks in Federated Learning. AISTATS 2023: 907-921 - [c87]Shaohui Lin
An Online Control Approach of Collaborative Federated Learning with Constrained Resources. APNet 2023: 211-212 - [c86]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CDC 2023: 6719-6724 - [c85]Marie Siew
ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations. CISS 2023: 1-6 - [c84]Roozbeh Bostandoost
Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks. e-Energy 2023: 72-83 - [c83]I-Cheng Lin, Osman Yagan, Carlee Joe-Wong:
Evaluating the Optimality of Dynamic Coupling Strategies in Interdependent Network Systems. ICC 2023: 1474-1480 - [c82]Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen:
Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency. INFOCOM Workshops 2023: 1-6 - [c81]Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui:
Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback. INFOCOM 2023: 1-10 - [c80]Yuhang Yao
FedRule: Federated Rule Recommendation System with Graph Neural Networks. IoTDI 2023: 197-208 - [c79]Marie Siew
Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. IPSN 2023: 330-331 - [c78]Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen:
AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning. IWQoS 2023: 1-10 - [c77]Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong:
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. MLSys 2023 - [c76]Yuezhou Liu
Cache-Enabled Federated Learning Systems. MobiHoc 2023: 1-11 - [c75]Mohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu, Zhongwei Cheng, Lin Chen, Liangju Li, Carlee Joe-Wong, Jiebo Luo:
Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking. NeurIPS 2023 - [c74]Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong:
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks. NeurIPS 2023 - [c73]Yi Hu, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong:
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning. SECON 2023: 357-365 - [c72]Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen:
EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning. SECON 2023: 411-419 - [c71]Harry H. Jiang, Xiaoxi Zhang, Carlee Joe-Wong:
DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances. WiOpt 2023: 175-182 - [i39]Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. CoRR abs/2301.01606 (2023) - [i38]Roozbeh Bostandoost, Bo Sun, Carlee Joe-Wong, Mohammad H. Hajiesmaili:
Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks. CoRR abs/2301.06087 (2023) - [i37]Weizhao Jin, Yuhang Yao, Shanshan Han, Carlee Joe-Wong, Srivatsan Ravi
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. CoRR abs/2303.10837 (2023) - [i36]Yi Hu
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. CoRR abs/2305.14562 (2023) - [i35]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CoRR abs/2306.00280 (2023) - [i34]Yi Hu
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning. CoRR abs/2308.10124 (2023) - [i33]Taejin Kim, Jiarui Li, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong:
Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning. CoRR abs/2310.11594 (2023) - [i32]Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen:
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset. CoRR abs/2310.14906 (2023) - 2022
- [j29]Harry H. Jiang, Xiaoxi Zhang, Carlee Joe-Wong:
DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances. SIGMETRICS Perform. Evaluation Rev. 50(2): 21-23 (2022) - [j28]Mohammad Khayatian
Plan B: Design Methodology for Cyber-Physical Systems Robust to Timing Failures. ACM Trans. Cyber Phys. Syst. 6(3): 21:1-21:39 (2022) - [j27]Xiaoxi Zhang
Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs. IEEE/ACM Trans. Netw. 30(1): 215-228 (2022) - [j26]Guohao Lan, Zida Liu, Yunfan Zhang, Tim Scargill, Jovan Stojkovic, Carlee Joe-Wong, Maria Gorlatova:
Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality. ACM Trans. Sens. Networks 18(1): 9:1-9:31 (2022) - [c70]Yichen Ruan, Carlee Joe-Wong:
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. AAAI 2022: 8124-8131 - [c69]Sheikh Shams Azam
Can we Generalize and Distribute Private Representation Learning? AISTATS 2022: 11320-11340 - [c68]Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen:
Online Competitive Influence Maximization. AISTATS 2022: 11472-11502 - [c67]Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong:
Hierarchical Conversational Preference Elicitation with Bandit Feedback. CIKM 2022: 2827-2836 - [c66]Taejin Kim, Sandesh Dhawaskar Sathyanarayana
MoDEMS: Optimizing Edge Computing Migrations for User Mobility. INFOCOM 2022: 1159-1168 - [c65]Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan
Correlated combinatorial bandits for online resource allocation. MobiHoc 2022: 91-100 - [c64]Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen:
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. NeurIPS 2022 - [c63]Shouxu Lin, Yuhang Yao, Pei Zhang, Hae Young Noh, Carlee Joe-Wong:
A neural-based bandit approach to mobile crowdsourcing. HotMobile 2022: 15-21 - [e2]Alessandro Finamore, Marco Fiore, Carlee Joe-Wong:
Proceedings of the 1st International Workshop on Native Network Intelligence, NativeNi 2022, Rome, Italy, 9 December 2022. ACM 2022, ISBN 978-1-4503-9887-9 [contents] - [i31]Yuhang Yao, Carlee Joe-Wong:
FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks. CoRR abs/2201.12433 (2022) - [i30]Marie Siew, Kun Guo
Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework. CoRR abs/2203.00825 (2022) - [i29]I-Cheng Lin, Carlee Joe-Wong, Osman Yagan:
Dynamic Coupling Strategy for Interdependent Network Systems Against Cascading Failures. CoRR abs/2203.01295 (2022) - [i28]Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson
Faithful Explanations for Deep Graph Models. CoRR abs/2205.11850 (2022) - [i27]Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. CoRR abs/2208.14837 (2022) - [i26]Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong:
Hierarchical Conversational Preference Elicitation with Bandit Feedback. CoRR abs/2209.06129 (2022) - [i25]Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong:
pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning. CoRR abs/2209.08412 (2022) - [i24]Marie Siew, Shikhar Sharma, Kun Guo
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations. CoRR abs/2209.14399 (2022) - [i23]Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu:
FedRule: Federated Rule Recommendation System with Graph Neural Networks. CoRR abs/2211.06812 (2022) - 2021
- [j25]Su Wang
Network-Aware Optimization of Distributed Learning for Fog Computing. IEEE/ACM Trans. Netw. 29(5): 2019-2032 (2021) - [c62]Yuhang Yao, Carlee Joe-Wong:
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. AAAI 2021: 4608-4616 - [c61]Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong:
Towards Flexible Device Participation in Federated Learning. AISTATS 2021: 3403-3411 - [c60]Jinhang Zuo, Carlee Joe-Wong:
Combinatorial Multi-armed Bandits for Resource Allocation. CISS 2021: 1-4 - [c59]Ataollah Fatahi Baarzi, George Kesidis, Carlee Joe-Wong, Mohammad Shahrad
On Merits and Viability of Multi-Cloud Serverless. SoCC 2021: 600-608 - [c58]Madhumitha Harishankar, Jinhang Zuo, Sriram Venkateswaran Iyer, Patrick Tague, Carlee Joe-Wong:
Datanet: Enabling Seamless, Metered and Trusted Internet Connectivity without Subscriptions. ICC Workshops 2021: 1-6 - [c57]Yucai Fan, Yuhang Yao, Carlee Joe-Wong:
GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs. ICDM 2021: 1060-1065 - [c56]Taejin Kim, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong:
MoDEMS: Optimizing Edge Computing Migrations For User Mobility. IWQoS 2021: 1-2 - [c55]Pranvera Kortoçi
Incentivizing Opportunistic Data Collection for Time-Sensitive IoT Applications. SECON 2021: 1-9 - [c54]Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong:
How Valuable Is Your Data? Optimizing Device Recruitment in Federated Learning. WiOpt 2021: 97-104 - [i22]Jinhang Zuo, Carlee Joe-Wong:
Combinatorial Multi-armed Bandits for Resource Allocation. CoRR abs/2105.04373 (2021) - [i21]Yucai Fan, Yuhang Yao, Carlee Joe-Wong:
GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs. CoRR abs/2110.05598 (2021) - [i20]Yichen Ruan, Carlee Joe-Wong:
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. CoRR abs/2112.06053 (2021) - 2020
- [j24]Philipp Artur Kienscherf, John Collins, Carlee Joe-Wong, Wolfgang Ketter
Time-dependent electricity pricing using variable announcement horizons. Energy Inform. 3(S1) (2020) - [j23]Xinlei Chen
PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile Crowdsensing. IEEE Internet Things J. 7(5): 3719-3734 (2020) - [j22]Mung Chiang, Rachid El Azouzi
Guest Editorial: Smart Data Pricing for Next-Generation Networks. IEEE J. Sel. Areas Commun. 38(4): 641-644 (2020) - [j21]Susu Xu
iLOCuS: Incentivizing Vehicle Mobility to Optimize Sensing Distribution in Crowd Sensing. IEEE Trans. Mob. Comput. 19(8): 1831-1847 (2020) - [j20]Shengxin Liu
Economic Viability of a Virtual ISP. IEEE/ACM Trans. Netw. 28(2): 902-916 (2020) - [j19]Yuxuan Jiang
Burstable Instances for Clouds: Performance Modeling, Equilibrium Analysis, and Revenue Maximization. IEEE/ACM Trans. Netw. 28(6): 2489-2502 (2020) - [c53]Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong:
Observe Before Play: Multi-Armed Bandit with Pre-Observations. AAAI 2020: 7023-7030 - [c52]Zhengwei Wu, Xiaoxi Zhang, Susu Xu, Xinlei Chen, Pei Zhang, Hae Young Noh, Carlee Joe-Wong:
A generative simulation platform for multi-agent systems with incentives. UbiComp/ISWC Adjunct 2020: 580-587 - [c51]Parisa Rahimzadeh, Jinsung Lee, Youngbin Im, Siun-Chuon Mau, Eric C. Lee, Bradford O. Smith, Fatemah Al-Duoli, Carlee Joe-Wong, Sangtae Ha
SPARCLE: Stream Processing Applications over Dispersed Computing Networks. ICDCS 2020: 1067-1078 - [c50]Xuanzhe Li, Samuel Gomena, Logan Ballard, Juntao Li, Ehsan Aryafar, Carlee Joe-Wong:
A Community Platform for Research on Pricing and Distributed Machine Learning. ICDCS 2020: 1223-1226 - [c49]Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong:
Machine Learning on Volatile Instances. INFOCOM 2020: 139-148 - [c48]Kwang Taik Kim, Carlee Joe-Wong, Mung Chiang:
Coded Edge Computing. INFOCOM 2020: 237-246 - [c47]Thaha Mohammed
Distributed Inference Acceleration with Adaptive DNN Partitioning and Offloading. INFOCOM 2020: 854-863 - [c46]Yichen Ruan, Carlee Joe-Wong:
On the Economic Value of Mobile Caching. INFOCOM 2020: 984-993 - [c45]Yuwei Tu, Yichen Ruan, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong:
Network-Aware Optimization of Distributed Learning for Fog Computing. INFOCOM 2020: 2509-2518 - [c44]Zida Liu, Guohao Lan
CollabAR: Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality. IPSN 2020: 301-312 - [i19]Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong:
Machine Learning on Volatile Instances. CoRR abs/2003.05649 (2020) - [i18]Madhumitha Harishankar, Dimitrios-Georgios Akestoridis, Sriram V. Iyer, Aron Laszka, Carlee Joe-Wong, Patrick Tague:
Plasma Go: A Scalable Sidechain Protocol for Flexible Payment Mechanisms in Blockchain-based Marketplaces. CoRR abs/2003.06197 (2020) - [i17]Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong:
Network-Aware Optimization of Distributed Learning for Fog Computing. CoRR abs/2004.08488 (2020) - [i16]Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong:
Towards Flexible Device Participation in Federated Learning for Non-IID Data. CoRR abs/2006.06954 (2020) - [i15]Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen:
Online Competitive Influence Maximization. CoRR abs/2006.13411 (2020) - [i14]Parinaz Naghizadeh, Carlee Joe-Wong, Mung Chiang:
Paid Prioritization with Content Competition. CoRR abs/2007.14574 (2020) - [i13]Xuan Chen, Zifan Wang, Yucai Fan, Bonan Jin, Piotr Mardziel, Carlee Joe-Wong, Anupam Datta:
Towards Behavior-Level Explanation for Deep Reinforcement Learning. CoRR abs/2009.08507 (2020) - [i12]Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Christopher G. Brinton, Carlee Joe-Wong, Saurabh Bagchi:
Towards Generalized and Distributed Privacy-Preserving Representation Learning. CoRR abs/2010.01792 (2020) - [i11]Yuhang Yao, Carlee Joe-Wong:
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. CoRR abs/2012.08740 (2020)
2010 – 2019
- 2019
- [j18]Soumya Sen
Time-Dependent Pricing for Multimedia Data Traffic: Analysis, Systems, and Trials. IEEE J. Sel. Areas Commun. 37(7): 1504-1517 (2019) - [j17]Madhumitha Harishankar
Procuring Spontaneous Session-Level Resource Guarantees for Real-Time Applications: An Auction Approach. IEEE J. Sel. Areas Commun. 37(7): 1534-1548 (2019) - [c43]Xinlei Chen, Susu Xu, Haohao Fu, Carlee Joe-Wong, Lin Zhang, Hae Young Noh, Pei Zhang:
ASC: actuation system for city-wide crowdsensing with ride-sharing vehicular platform. SCOPE@CPSIoTWeek 2019: 19-24 - [c42]Youngbin Im, Parisa Rahimzadeh, Brett Shouse
I Sent It: Where Does Slow Data Go to Wait? EuroSys 2019: 22:1-22:15 - [c41]Parisa Rahimzadeh, Youngbin Im, Gueyoung Jung, Carlee Joe-Wong, Sangtae Ha:
ECHO: Efficiently Overbooking Applications to Create a Highly Available Cloud. ICDCS 2019: 1-11 - [c40]Xiaoxi Zhang, Siqi Chen, Youngbin Im, Maria Gorlatova, Sangtae Ha
Towards Automated Network Management: Learning the Optimal Protocol Selection. ICNP 2019: 1-4 - [c39]Pranvera Kortoçi, Liang Zheng, Carlee Joe-Wong, Mario Di Francesco, Mung Chiang:
Fog-based Data Offloading in Urban IoT Scenarios. INFOCOM 2019: 784-792 - [c38]Yuxuan Jiang, Mohammad Shahrad
Burstable Instances for Clouds: Performance Modeling, Equilibrium Analysis, and Revenue Maximization. INFOCOM 2019: 1576-1584 - [c37]Susu Xu, Xinlei Chen, Xidong Pi, Carlee Joe-Wong, Pei Zhang, Hae Young Noh:
Vehicle dispatching for sensing coverage optimization in mobile crowdsensing systems: poster abstract. IPSN 2019: 311-312 - [c36]Jihoon Lee, Jinsung Lee, Youngbin Im, Sandesh Dhawaskar Sathyanarayana
CASTLE over the Air: Distributed Scheduling for Cellular Data Transmissions. MobiSys 2019: 417-429 - [c35]Sandesh Dhawaskar Sathyanarayana, Jihoon Lee, Jinsung Lee, Youngbin Im, Parisa Rahimzadeh, Xiaoxi Zhang, Max Hollingsworth
CASTLE over the Air - Distributed Scheduling for Cellular Data Transmissions. MobiSys 2019: 673-674 - [c34]Jovan Stojkovic, Zida Liu, Guohao Lan
Edge-assisted collaborative image recognition for augmented reality: demo abstract. SenSys 2019: 394-395 - [c33]Susham Yerabolu, Samuel Gomena, Ehsan Aryafar, Carlee Joe-Wong:
An Edge Computing Marketplace for Distributed Machine Learning. SIGCOMM Posters and Demos 2019: 36-38 - [c32]Ehsan Aryafar, Alireza Keshavarz-Haddad, Carlee Joe-Wong:
Proportional Fair RAT Aggregation in HetNets. ITC 2019: 84-92 - [i10]Ehsan Aryafar, Alireza Keshavarz-Haddad, Carlee Joe-Wong:
Proportional Fair RAT Aggregation in HetNets. CoRR abs/1906.00284 (2019) - [i9]Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong:
Observe Before Play: Multi-armed Bandit with Pre-observations. CoRR abs/1911.09458 (2019) - 2018
- [j16]Carlos Ruiz Dominguez
IDrone: Robust Drone Identification through Motion Actuation Feedback. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(2): 80:1-80:22 (2018) - [j15]Carlee Joe-Wong, Soumya Sen:
Harnessing the Power of the Cloud: Revenue, Fairness, and Cloud Neutrality. J. Manag. Inf. Syst. 35(3): 813-836 (2018) - [j14]Yichen Ruan, Carlee Joe-Wong:
On the Economic Value of Vehicular Caching. SIGMETRICS Perform. Evaluation Rev. 46(2): 83-84 (2018) - [j13]Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong:
Observe Before Play: Multi-armed Bandit with Pre-Observations. SIGMETRICS Perform. Evaluation Rev. 46(2): 89-90 (2018) - [j12]Carlee Joe-Wong
Sponsoring Mobile Data: Analyzing the Impact on Internet Stakeholders. IEEE/ACM Trans. Netw. 26(3): 1179-1192 (2018) - [c31]Weiyu Chen, Carlee Joe-Wong, Christopher G. Brinton, Liang Zheng, Da Cao:
Principles for Assessing Adaptive Online Courses. EDM 2018 - [c30]Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong:
Predicting Learner Interactions in Social Learning Networks. INFOCOM 2018: 1322-1330 - [c29]Liang Zheng, Carlee Joe-Wong, Matthew Andrews, Mung Chiang:
Optimizing Data Plans: Usage Dynamics in Mobile Data Networks. INFOCOM 2018: 2474-2482 - [c28]Madhumitha Harishankar, Nagarjun Srinivasan, Carlee Joe-Wong, Patrick Tague:
To Accept or Not to Accept: The Question of Supplemental Discount Offers in Mobile Data Plans. INFOCOM 2018: 2609-2617 - [c27]Takuma Oda
MOVI: A Model-Free Approach to Dynamic Fleet Management. INFOCOM 2018: 2708-2716 - [c26]Mikhail Khodak, Liang Zheng, Andrew S. Lan, Carlee Joe-Wong, Mung Chiang:
Learning Cloud Dynamics to Optimize Spot Instance Bidding Strategies. INFOCOM 2018: 2762-2770 - [i8]Takuma Oda, Carlee Joe-Wong:
MOVI: A Model-Free Approach to Dynamic Fleet Management. CoRR abs/1804.04758 (2018) - 2017
- [j11]Liang Zheng, Carlee Joe-Wong, Chee Wei Tan
Customized Data Plans for Mobile Users: Feasibility and Benefits of Data Trading. IEEE J. Sel. Areas Commun. 35(4): 949-963 (2017) - [j10]Tsung-Yen Yang, Christopher G. Brinton
Behavior-Based Grade Prediction for MOOCs Via Time Series Neural Networks. IEEE J. Sel. Top. Signal Process. 11(5): 716-728 (2017) - [j9]Kyuyong Shin, Carlee Joe-Wong
T-Chain: A General Incentive Scheme for Cooperative Computing. IEEE/ACM Trans. Netw. 25(4): 2122-2137 (2017) - [c25]Youngbin Im, Jinyoung Han, Ji Hoon Lee, Yoon Kwon, Carlee Joe-Wong, Ted Taekyoung Kwon, Sangtae Ha:
FLARE: Coordinated Rate Adaptation for HTTP Adaptive Streaming in Cellular Networks. ICDCS 2017: 298-307 - [c24]Ehsan Aryafar, Alireza Keshavarz-Haddad, Carlee Joe-Wong, Mung Chiang:
Max-Min Fair Resource Allocation in HetNets: Distributed Algorithms and Hybrid Architecture. ICDCS 2017: 857-869 - [c23]Zhe Huang, S. Matthew Weinberg
Discovering valuations and enforcing truthfulness in a deadline-aware scheduler. INFOCOM 2017: 1-9 - [c22]Parisa Rahimzadeh, Carlee Joe-Wong, Kyuyong Shin, Youngbin Im, Jongdeog Lee, Sangtae Ha:
SVC-TChain: Incentivizing good behavior in layered P2P video streaming. INFOCOM 2017: 1-9 - [c21]Liang Zheng, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee Wei Tan
Economic viability of a virtual ISP. INFOCOM 2017: 1-9 - [c20]Liang Zheng, Jiasi Chen, Carlee Joe-Wong, Chee-Wei Tan
An economic analysis of wireless network infrastructure sharing. WiOpt 2017: 1-8 - [i7]Youngbin Im, Carlee Joe-Wong, Sangtae Ha, Soumya Sen, Ted Taekyoung Kwon, Mung Chiang:
AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs. CoRR abs/1702.05541 (2017) - [i6]Abhinav Jauhri, Carlee Joe-Wong, John Paul Shen:
On the Real-time Vehicle Placement Problem. CoRR abs/1712.01235 (2017) - 2016
- [j8]Youngbin Im, Carlee Joe-Wong, Sangtae Ha, Soumya Sen, Ted Taekyoung Kwon, Mung Chiang:
AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs. IEEE Trans. Mob. Comput. 15(5): 1062-1076 (2016) - [c19]Carlee Joe-Wong, Youngbin Im, Kyuyong Shin, Sangtae Ha:
A Performance Analysis of Incentive Mechanisms for Cooperative Computing. ICDCS 2016: 108-117 - [c18]Liang Zheng, Carlee Joe-Wong:
Understanding rollover data. INFOCOM Workshops 2016: 662-667 - [c17]Liang Zheng, Carlee Joe-Wong, Christopher G. Brinton, Chee-Wei Tan
On the Viability of a Cloud Virtual Service Provider. SIGMETRICS 2016: 235-248 - 2015
- [j7]Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Mung Chiang:
Smart data pricing: using economics to manage network congestion. Commun. ACM 58(12): 86-93 (2015) - [j6]Carlee Joe-Wong, Soumya Sen, Sangtae Ha:
Offering Supplementary Network Technologies: Adoption Behavior and Offloading Benefits. IEEE/ACM Trans. Netw. 23(2): 355-368 (2015) - [j5]Carlee Joe-Wong
Interdatacenter Job Routing and Scheduling With Variable Costs and Deadlines. IEEE Trans. Smart Grid 6(6): 2669-2680 (2015) - [c16]Jae Yoon Chung, Carlee Joe-Wong, Sangtae Ha, James Won-Ki Hong, Mung Chiang:
CYRUS: towards client-defined cloud storage. EuroSys 2015: 17:1-17:16 - [c15]Kyuyong Shin, Carlee Joe-Wong, Sangtae Ha, Yung Yi, Injong Rhee, Douglas S. Reeves:
T-Chain: A General Incentive Scheme for Cooperative Computing. ICDCS 2015: 163-174 - [c14]Carlee Joe-Wong, Sangtae Ha, Mung Chiang:
Sponsoring mobile data: An economic analysis of the impact on users and content providers. INFOCOM 2015: 1499-1507 - [c13]Liang Zheng, Carlee Joe-Wong, Chee Wei Tan
Secondary markets for mobile data: Feasibility and benefits of traded data plans. INFOCOM 2015: 1580-1588 - [c12]Felix Ming Fai Wong, Carlee Joe-Wong, Sangtae Ha, Zhenming Liu, Mung Chiang:
Improving user QoE for residential broadband: Adaptive traffic management at the network edge. IWQoS 2015: 105-114 - [c11]Carlee Joe-Wong, Sangtae Ha, Soumya Sen, Mung Chiang:
Do Mobile Data Plans Affect Usage? Results from a Pricing Trial with ISP Customers. PAM 2015: 96-108 - [c10]Liang Zheng, Carlee Joe-Wong, Chee-Wei Tan
How to Bid the Cloud. SIGCOMM 2015: 71-84 - [i5]Murad Kablan, Carlee Joe-Wong, Sangtae Ha, Hani Jamjoom, Eric Keller:
The Cloud Needs a Reputation System. CoRR abs/1509.09057 (2015) - 2014
- [e1]Tarun Bansal, Carlee Joe-Wong:
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. ACM 2014, ISBN 978-1-4503-3073-2 [contents] - 2013
- [j4]Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Mung Chiang:
A survey of smart data pricing: Past proposals, current plans, and future trends. ACM Comput. Surv. 46(2): 15:1-15:37 (2013) - [j3]Carlee Joe-Wong, Soumya Sen, Tian Lan, Mung Chiang:
Multiresource Allocation: Fairness-Efficiency Tradeoffs in a Unifying Framework. IEEE/ACM Trans. Netw. 21(6): 1785-1798 (2013) - [c9]Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Jasika Bawa, Mung Chiang:
When the price is right: enabling time-dependent pricing of broadband data. CHI 2013: 2477-2486 - [c8]Ming-Jye Sheng, Carlee Joe-Wong, Sangtae Ha, Felix Ming Fai Wong, Soumya Sen:
Smart Data Pricing: Lessons from trial planning. INFOCOM Workshops 2013: 375-380 - [c7]Youngbin Im, Carlee Joe-Wong, Sangtae Ha, Soumya Sen, Ted Taekyoung Kwon, Mung Chiang:
AMUSE: Empowering users for cost-aware offloading with throughput-delay tradeoffs. INFOCOM 2013: 435-439 - [c6]Carlee Joe-Wong, Soumya Sen, Sangtae Ha:
Offering supplementary wireless technologies: Adoption behavior and offloading benefits. INFOCOM 2013: 1061-1069 - [c5]Ming-Jye Sheng, Carlee Joe-Wong, Sangtae Ha, Felix Ming Fai Wong, Soumya Sen:
Smart data pricing: Lessons from trial planning. INFOCOM 2013: 3327-3332 - [i4]Felix Ming Fai Wong, Carlee Joe-Wong, Sangtae Ha, Zhenming Liu, Mung Chiang:
Mind Your Own Bandwidth: An Edge Solution to Peak-hour Broadband Congestion. CoRR abs/1312.7844 (2013) - 2012
- [j2]Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Mung Chiang:
Incentivizing time-shifting of data: a survey of time-dependent pricing for internet access. IEEE Commun. Mag. 50(11): 91-99 (2012) - [j1]Carlee Joe-Wong, Soumya Sen, Sangtae Ha, Mung Chiang:
Optimized Day-Ahead Pricing for Smart Grids with Device-Specific Scheduling Flexibility. IEEE J. Sel. Areas Commun. 30(6): 1075-1085 (2012) - [c4]Carlee Joe-Wong, Soumya Sen, Tian Lan, Mung Chiang:
Multi-resource allocation: Fairness-efficiency tradeoffs in a unifying framework. INFOCOM 2012: 1206-1214 - [c3]Sangtae Ha, Soumya Sen, Carlee Joe-Wong, Rüdiger Rill, Mung Chiang:
Demo: enabling mobile time-dependent pricing. MobiSys 2012: 473-474 - [c2]Sangtae Ha, Soumya Sen, Carlee Joe-Wong, Youngbin Im, Mung Chiang:
TUBE: time-dependent pricing for mobile data. SIGCOMM 2012: 247-258 - [i3]Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Mung Chiang:
Pricing Data: A Look at Past Proposals, Current Plans, and Future Trends. CoRR abs/1201.4197 (2012) - [i2]Carlee Joe-Wong, Soumya Sen, Sangtae Ha:
Complementary Wireless Network Technologies: Adoption Behavior and Offloading Benefits. CoRR abs/1209.5004 (2012) - [i1]Carlee Joe-Wong, Soumya Sen:
Mathematical Frameworks for Pricing in the Cloud: Revenue, Fairness, and Resource Allocations. CoRR abs/1212.0022 (2012) - 2011
- [c1]Carlee Joe-Wong, Sangtae Ha, Mung Chiang:
Time-Dependent Broadband Pricing: Feasibility and Benefits. ICDCS 2011: 288-298
Coauthor Index
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