Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCarlee Joe-Wong
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j35]Taejin Kim
, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong:
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, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong:
pFedDef: Characterizing evasion attack transferability in federated learning. Softw. Impacts 15: 100469 (2023) - [j32]Xiaoxi Zhang, Siqi Chen, Yunfan Zhang, Youngbin Im, Maria Gorlatova, Sangtae Ha, Carlee Joe-Wong:
Optimal Network Protocol Selection for Competing Flows via Online Learning. IEEE Trans. Mob. Comput. 22(8): 4822-4836 (2023) - [j31]I-Cheng Lin, Osman Yagan, Carlee Joe-Wong:
Dynamic Coupling Strategy for Interdependent Network Systems Against Cascading Failures. IEEE Trans. Netw. Sci. Eng. 10(4): 2265-2282 (2023) - [j30]Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton:
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. IEEE/ACM Trans. Netw. 31(5): 2086-2100 (2023) - [c83]Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong:
Characterizing Internal Evasion Attacks in Federated Learning. AISTATS 2023: 907-921 - [c82]Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen:
An Online Control Approach of Collaborative Federated Learning with Constrained Resources. APNet 2023: 211-212 - [c81]Marie Siew, Shikhar Sharma, Carlee Joe-Wong:
ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations. CISS 2023: 1-6 - [c80]Roozbeh Bostandoost, Bo Sun, Carlee Joe-Wong, Mohammad H. Hajiesmaili:
Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks. e-Energy 2023: 72-83 - [c79]I-Cheng Lin, Osman Yagan, Carlee Joe-Wong:
Evaluating the Optimality of Dynamic Coupling Strategies in Interdependent Network Systems. ICC 2023: 1474-1480 - [c78]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 - [c77]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 - [c76]Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu:
FedRule: Federated Rule Recommendation System with Graph Neural Networks. IoTDI 2023: 197-208 - [c75]Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong:
Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. IPSN 2023: 330-331 - [c74]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 - [c73]Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew:
Cache-Enabled Federated Learning Systems. MobiHoc 2023: 1-11 - [c72]Yi Hu, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong:
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning. SECON 2023: 357-365 - [c71]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 - [i39]Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton:
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, Salman Avestimehr, Chaoyang He:
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. CoRR abs/2303.10837 (2023) - [i36]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. 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, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong:
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 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, Mohammadreza Mehrabian, Edward Andert, Reese Grimsley, Kyle Liang, Yi Hu, Ian McCormack, Carlee Joe-Wong, Jonathan Aldrich, Bob Iannucci, Aviral Shrivastava:
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, Jianyu Wang, Li-Feng Lee, Tom Yang, Akansha Kalra, Gauri Joshi, Carlee Joe-Wong:
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, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton:
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, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong:
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, Desmond W. H. Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek:
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, Anupam Datta:
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, Chao Xu, Tony Q. S. Quek, Carlee Joe-Wong:
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, Yichen Ruan, Yuwei Tu, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong:
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, Abbas Mehrabi, Carlee Joe-Wong, Mario Di Francesco:
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, Soumya Sen:
Time-dependent electricity pricing using variable announcement horizons. Energy Inform. 3(S1) (2020) - [j23]Xinlei Chen, Susu Xu, Jun Han, Haohao Fu, Xidong Pi, Carlee Joe-Wong, Yong Li, Lin Zhang, Hae Young Noh, Pei Zhang:
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, Lin Gao, Jianwei Huang, Carlee Joe-Wong, Soumya Sen:
Guest Editorial: Smart Data Pricing for Next-Generation Networks. IEEE J. Sel. Areas Commun. 38(4): 641-644 (2020) - [j21]Susu Xu, Xinlei Chen, Xidong Pi, Carlee Joe-Wong, Pei Zhang, Hae Young Noh:
iLOCuS: Incentivizing Vehicle Mobility to Optimize Sensing Distribution in Crowd Sensing. IEEE Trans. Mob. Comput. 19(8): 1831-1847 (2020) - [j20]Shengxin Liu, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee-Wei Tan, Liang Zheng:
Economic Viability of a Virtual ISP. IEEE/ACM Trans. Netw. 28(2): 902-916 (2020) - [j19]Yuxuan Jiang, Mohammad Shahrad, David Wentzlaff, Danny H. K. Tsang, Carlee Joe-Wong:
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, Carlee Joe-Wong, Rohit Babbar, Mario Di Francesco:
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, Jovan Stojkovic, Yunfan Zhang, Carlee Joe-Wong, Maria Gorlatova:
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, Carlee Joe-Wong, Sangtae Ha, Mung Chiang:
Time-Dependent Pricing for Multimedia Data Traffic: Analysis, Systems, and Trials. IEEE J. Sel. Areas Commun. 37(7): 1504-1517 (2019) - [j17]Madhumitha Harishankar, Sireesha Pilaka, Pragya Sharma, Nagarjun Srinivasan, Carlee Joe-Wong, Patrick Tague:
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, Shinik Park, Carlee Joe-Wong, Kyunghan Lee, Sangtae Ha:
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, Carlee Joe-Wong:
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, David Wentzlaff, Danny H. K. Tsang, Carlee Joe-Wong:
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, Parisa Rahimzadeh, Xiaoxi Zhang, Max Hollingsworth, Carlee Joe-Wong, Dirk Grunwald, Sangtae Ha:
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, Carlee Joe-Wong, Dirk Grunwald, Sangtae Ha:
CASTLE over the Air - Distributed Scheduling for Cellular Data Transmissions. MobiSys 2019: 673-674 - [c34]Jovan Stojkovic, Zida Liu, Guohao Lan, Carlee Joe-Wong, Maria Gorlatova:
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, Shijia Pan, Adeola Bannis, Xinlei Chen, Carlee Joe-Wong, Hae Young Noh, Pei Zhang:
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, Soumya Sen, Sangtae Ha:
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, Carlee Joe-Wong:
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]<