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ORCIDMung Chiang
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- affiliation: Purdue University, USA
- affiliation (former): Princeton University, USA
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2020 – today
- 2023
[i61]Xiang Li, Mustafa Abdallah, Shikhar Suryavansh, Mung Chiang, Saurabh Bagchi:
DAG-based Task Orchestration for Edge Computing. CoRR abs/2301.09278 (2023)- [i60]Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang:
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks. CoRR abs/2303.08361 (2023) - [i59]Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Christopher G. Brinton, Mung Chiang:
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. CoRR abs/2303.08988 (2023) - 2022
- [j111]Jonathan C. Spencer
, Sanjiban Choudhury, Matthew Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa:
Expert Intervention Learning. Auton. Robots 46(1): 99-113 (2022) - [c211]Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton:
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. GLOBECOM 2022: 492-497 - [c210]Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal:
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? ICLR 2022 - [c209]Xiang Li, Mustafa Abdallah, Shikhar Suryavansh, Mung Chiang, Kwang Taik Kim, Saurabh Bagchi:
DAG-based Task Orchestration for Edge Computing. SRDS 2022: 23-34 - [i58]Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang:
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks. CoRR abs/2202.02947 (2022) - [i57]Hung T. Nguyen, H. Vincent Poor, Mung Chiang:
Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing. CoRR abs/2203.12738 (2022) - [i56]Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang:
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point. CoRR abs/2203.13950 (2022) - [i55]Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton:
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. CoRR abs/2208.02856 (2022) - [i54]Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor:
Interference Cancellation GAN Framework for Dynamic Channels. CoRR abs/2208.08019 (2022) - 2021
- [j110]Yixin Sun, Maria Apostolaki, Henry Birge-Lee, Laurent Vanbever, Jennifer Rexford, Mung Chiang, Prateek Mittal:
Securing internet applications from routing attacks. Commun. ACM 64(6): 86-96 (2021) - [j109]Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor:
Fast-Convergent Federated Learning. IEEE J. Sel. Areas Commun. 39(1): 201-218 (2021) - [c208]Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor:
Adversarial Neural Networks for Error Correcting Codes. GLOBECOM 2021: 1-6 - [c207]Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim, Mung Chiang:
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge. GLOBECOM 2021: 1-6 - [c206]Roberto Morabito, Mung Chiang:
Demo: Discover, Provision, and Orchestration of Machine Learning Inference Services in Heterogeneous Edge. ICDCS 2021: 1116-1119 - [c205]Vikash Sehwag, Mung Chiang, Prateek Mittal:
SSD: A Unified Framework for Self-Supervised Outlier Detection. ICLR 2021 - [c204]Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton:
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. INFOCOM 2021: 1-10 - [c203]Yihan Zou, Kwang Taik Kim, Xiaojun Lin, Mung Chiang:
Minimizing Age-of-Information in Heterogeneous Multi-Channel Systems: A New Partial-Index Approach. MobiHoc 2021: 11-20 - [c202]Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Edoardo Debenedetti, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein:
RobustBench: a standardized adversarial robustness benchmark. NeurIPS Datasets and Benchmarks 2021 - [i53]Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton:
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. CoRR abs/2101.00787 (2021) - [i52]Vikash Sehwag, Mung Chiang, Prateek Mittal:
SSD: A Unified Framework for Self-Supervised Outlier Detection. CoRR abs/2103.12051 (2021) - [i51]Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal:
Improving Adversarial Robustness Using Proxy Distributions. CoRR abs/2104.09425 (2021) - [i50]Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang:
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. CoRR abs/2106.15734 (2021) - [i49]Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim, Mung Chiang:
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge. CoRR abs/2112.11485 (2021) - [i48]Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor:
Adversarial Neural Networks for Error Correcting Codes. CoRR abs/2112.11491 (2021) - 2020
- [j108]Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang:
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks. IEEE Commun. Mag. 58(12): 41-47 (2020) - [j107]Maria Gorlatova, Hazer Inaltekin, Mung Chiang:
Characterizing task completion latencies in multi-point multi-quality fog computing systems. Comput. Networks 181: 107526 (2020) - [j106]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) - [c201]Yixin Sun, Kangkook Jee, Suphannee Sivakorn, Zhichun Li, Cristian Lumezanu, Lauri Korts-Pärn, Zhenyu Wu, Junghwan Rhee, Chung Hwan Kim, Mung Chiang, Prateek Mittal:
Detecting Malware Injection with Program-DNS Behavior. EuroS&P 2020: 552-568 - [c200]Nawanol Theera-Ampornpunt, Shikhar Suryavansh, Sameer Manchanda, Rajesh Krishna Panta, Kaustubh Joshi, Mostafa H. Ammar, Mung Chiang, Saurabh Bagchi:
AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming. EWSN 2020: 37-48 - [c199]Kwang Taik Kim, Carlee Joe-Wong, Mung Chiang:
Coded Edge Computing. INFOCOM 2020: 237-246 - [c198]Yihan Zou, Kwang Taik Kim, Xiaojun Lin, Mung Chiang, Zhi Ding, Risto Wichman, Jyri Hämäläinen:
Low-Overhead Joint Beam-Selection and Random-Access Schemes for Massive Internet-of-Things with Non-Uniform Channel and Load. INFOCOM 2020: 2126-2135 - [c197]Jonathan C. Spencer, Sanjiban Choudhury, Matt Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa:
Learning from Interventions: Human-robot interaction as both explicit and implicit feedback. Robotics: Science and Systems 2020 - [i47]Somali Chaterji, Parinaz Naghizadeh, Muhammad Ashraful Alam, Saurabh Bagchi, Mung Chiang, David Corman, Brian J. Henz, Suman Jana, Na Li, Shaoshuai Mou, Meeko Oishi, Chunyi Peng, Tiark Rompf, Ashutosh Sabharwal, Shreyas Sundaram, James Weimer, Jennifer Weller:
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap. CoRR abs/2001.00090 (2020) - [i46]Nawanol Theera-Ampornpunt, Shikhar Suryavansh, Sameer Manchanda, Rajesh K. Panta, Kaustubh Joshi, Mostafa H. Ammar, Mung Chiang, Saurabh Bagchi:
AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming. CoRR abs/2001.08169 (2020) - [i45]Yixin Sun, Maria Apostolaki, Henry Birge-Lee, Laurent Vanbever, Jennifer Rexford, Mung Chiang, Prateek Mittal:
Securing Internet Applications from Routing Attacks. CoRR abs/2004.09063 (2020) - [i44]Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang:
From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks. CoRR abs/2006.03594 (2020) - [i43]Vikash Sehwag, Rajvardhan Oak, Mung Chiang, Prateek Mittal:
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks. CoRR abs/2006.14077 (2020) - [i42]Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor:
Fast-Convergent Federated Learning. CoRR abs/2007.13137 (2020) - [i41]Parinaz Naghizadeh, Carlee Joe-Wong, Mung Chiang:
Paid Prioritization with Content Competition. CoRR abs/2007.14574 (2020) - [i40]Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein:
RobustBench: a standardized adversarial robustness benchmark. CoRR abs/2010.09670 (2020) - [i39]Shikhar Suryavansh, Chandan Bothra, Kwang Taik Kim, Mung Chiang, Chunyi Peng, Saurabh Bagchi:
I-BOT: Interference-Based Orchestration of Tasks for Dynamic Unmanaged Edge Computing. CoRR abs/2011.05925 (2020)
2010 – 2019
- 2019
- [j105]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) - [j104]Weiyu Chen, Christopher G. Brinton, Da Cao, Amanda Mason-Singh, Charlton Lu, Mung Chiang:
Early Detection Prediction of Learning Outcomes in Online Short-Courses via Learning Behaviors. IEEE Trans. Learn. Technol. 12(1): 44-58 (2019) - [c196]Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal:
Analyzing the Robustness of Open-World Machine Learning. AISec@CCS 2019: 105-116 - [c195]Yihan Zou, Kwang Taik Kim, Zhi Ding, Risto Wichman, Jyri Hämäläinen, Xiaojun Lin, Mung Chiang:
Low-Overhead Multi-Antenna-Enabled Random Access for Machine-Type Communications with Low Mobility. GLOBECOM 2019: 1-6 - [c194]Yuwei Tu, Christopher G. Brinton, Andrew S. Lan, Mung Chiang:
Adaptive Remediation with Multi-modal Content. HCI (32) 2019: 455-468 - [c193]Patrick Hansen, Richard Junior Bustamante, Tsung-Yen Yang, Elizabeth Tenorio, Christopher G. Brinton, Mung Chiang, Andrew S. Lan:
Predicting the Timing and Quality of Responses in Online Discussion Forums. ICDCS 2019: 1931-1940 - [c192]Parinaz Naghizadeh, Maria Gorlatova, Andrew S. Lan, Mung Chiang:
Hurts to Be Too Early: Benefits and Drawbacks of Communication in Multi-Agent Learning. INFOCOM 2019: 622-630 - [c191]Pranvera Kortoçi, Liang Zheng, Carlee Joe-Wong, Mario Di Francesco, Mung Chiang:
Fog-based Data Offloading in Urban IoT Scenarios. INFOCOM 2019: 784-792 - [c190]Surin Ahn, Maria Gorlatova, Parinaz Naghizadeh, Mung Chiang:
Personalized augmented reality via fog-based imitation learning. IoT-Fog@IoTDI 2019: 11-15 - [i38]Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal:
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples. CoRR abs/1905.01726 (2019) - 2018
- [j103]Yongjiu Du, Yan Shi, Ehsan Aryafar, Pengfei Cui, Joseph Camp, Mung Chiang:
SAMU: design and implementation of frequency selectivity-aware multi-user MIMO for WLANs. EURASIP J. Wirel. Commun. Netw. 2018: 297 (2018) - [j102]Arsalan Mosenia, Jad F. Bechara, Tao Zhang, Prateek Mittal, Mung Chiang:
ProCMotive: Bringing Programmability and Connectivity into Isolated Vehicles. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 26:1-26:31 (2018) - [j101]Hazer Inaltekin, Maria Gorlatova, Mung Chiang:
Virtualized Control Over Fog: Interplay Between Reliability and Latency. IEEE Internet Things J. 5(6): 5030-5045 (2018) - [j100]Yang Yang, Xiumei Yang, Wenzhan Song, John K. Zao, Mung Chiang:
Special issue on fog networks. J. Commun. Networks 20(3): 233-236 (2018) - [j99]Ryan Wails, Yixin Sun, Aaron Johnson, Mung Chiang, Prateek Mittal:
Tempest: Temporal Dynamics in Anonymity Systems. Proc. Priv. Enhancing Technol. 2018(3): 22-42 (2018) - [j98]Christopher G. Brinton, Swapna Buccapatnam, Liang Zheng, Da Cao, Andrew S. Lan, Felix Ming Fai Wong, Sangtae Ha, Mung Chiang, H. Vincent Poor:
On the Efficiency of Online Social Learning Networks. IEEE/ACM Trans. Netw. 26(5): 2076-2089 (2018) - [c189]Da Cao, Andrew S. Lan, Weiyu Chen, Christopher G. Brinton, Mung Chiang:
Learner Behavioral Feature Refinement and Augmentation Using GANs. AIED (2) 2018: 41-46 - [c188]Tsung-Yen Yang, Christopher G. Brinton, Prateek Mittal, Mung Chiang, Andrew S. Lan:
Learning Informative and Private Representations via Generative Adversarial Networks. IEEE BigData 2018: 1534-1543 - [c187]Mohammad Shahrad, Arsalan Mosenia, Liwei Song, Mung Chiang, David Wentzlaff, Prateek Mittal:
Acoustic Denial of Service Attacks on Hard Disk Drives. ASHES@CCS 2018: 34-39 - [c186]Vikash Sehwag, Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, Prateek Mittal:
Not All Pixels are Born Equal: An Analysis of Evasion Attacks under Locality Constraints. CCS 2018: 2285-2287 - [c185]Andrew S. Lan, Mung Chiang, Christoph Studer:
Linearized binary regression. CISS 2018: 1-6 - [c184]Weiyu Chen, Andrew S. Lan, Da Cao, Christopher G. Brinton, Mung Chiang:
Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner Clickstreams. EDM 2018 - [c183]Andrew S. Lan, Mung Chiang, Christoph Studer:
An Estimation and Analysis Framework for the Rasch Model. ICML 2018: 2889-2897 - [c182]Ruijiu Mao, Vaneet Aggarwal, Mung Chiang:
Stochastic non-preemptive co-flow scheduling with time-indexed relaxation. INFOCOM Workshops 2018: 385-390 - [c181]Liang Zheng, Carlee Joe-Wong, Matthew Andrews, Mung Chiang:
Optimizing Data Plans: Usage Dynamics in Mobile Data Networks. INFOCOM 2018: 2474-2482 - [c180]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 - [c179]Andrew S. Lan, Jonathan C. Spencer, Ziqi Chen, Christopher G. Brinton, Mung Chiang:
Personalized Thread Recommendation for MOOC Discussion Forums. ECML/PKDD (2) 2018: 725-740 - [c178]Aakanksha Chowdhery, Mung Chiang:
Model Predictive Compression for Drone Video Analytics. SECON Workshops 2018: 19-23 - [c177]Surin Ahn, Maria Gorlatova, Parinaz Naghizadeh, Mung Chiang, Prateek Mittal:
Adaptive Fog-Based Output Security for Augmented Reality. VR/AR Network@SIGCOMM 2018: 1-6 - [i37]Ryan Wails, Yixin Sun, Aaron Johnson, Mung Chiang, Prateek Mittal:
Tempest: Temporal Dynamics in Anonymity Systems. CoRR abs/1801.01932 (2018) - [i36]Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Prateek Mittal, Mung Chiang:
Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and Logos. CoRR abs/1801.02780 (2018) - [i35]Ruijiu Mao, Vaneet Aggarwal, Mung Chiang:
Stochastic Non-preemptive Co-flow Scheduling with Time-Indexed Relaxation. CoRR abs/1802.03700 (2018) - [i34]Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, Prateek Mittal:
DARTS: Deceiving Autonomous Cars with Toxic Signs. CoRR abs/1802.06430 (2018) - [i33]Andrew S. Lan, Mung Chiang, Christoph Studer:
An Estimation and Analysis Framework for the Rasch Model. CoRR abs/1806.03551 (2018) - [i32]Andrew S. Lan, Jonathan C. Spencer, Ziqi Chen, Christopher G. Brinton, Mung Chiang:
Personalized Thread Recommendation for MOOC Discussion Forums. CoRR abs/1806.08468 (2018) - [i31]Maria Gorlatova, Hazer Inaltekin, Mung Chiang:
Characterizing Task Completion Latencies in Fog Computing. CoRR abs/1811.02638 (2018) - 2017
- [j97]Michael Wang, Jiasi Chen, Ehsan Aryafar, Mung Chiang:
A Survey of Client-Controlled HetNets for 5G. IEEE Access 5: 2842-2854 (2017) - [j96]Mung Chiang, Sangtae Ha, Chih-Lin I, Fulvio Risso, Tao Zhang:
Fog Computing and Networking: Part 1. IEEE Commun. Mag. 55(4): 16-17 (2017) - [j95]Mung Chiang, Sangtae Ha, Chih-Lin I, Fulvio Risso, Tao Zhang:
Clarifying Fog Computing and Networking: 10 Questions and Answers. IEEE Commun. Mag. 55(4): 18-20 (2017) - [j94]Mung Chiang, Sangtae Ha, Chih-Lin I, Fulvio Risso, Tao Zhang:
Fog Computing and Networking: Part 2. IEEE Commun. Mag. 55(8): 13 (2017) - [j93]Liang Zheng, Carlee Joe-Wong, Chee Wei Tan, Sangtae Ha, Mung Chiang:
Customized Data Plans for Mobile Users: Feasibility and Benefits of Data Trading. IEEE J. Sel. Areas Commun. 35(4): 949-963 (2017) - [j92]Mihaela van der Schaar, Richard G. Baraniuk, Mung Chiang, Jonathan Huang, Shengdong Zhao:
Introduction to the Issue on Signal Processing and Machine Learning. IEEE J. Sel. Top. Signal Process. 11(5): 713-715 (2017) - [j91]Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong, Mung Chiang:
Behavior-Based Grade Prediction for MOOCs Via Time Series Neural Networks. IEEE J. Sel. Top. Signal Process. 11(5): 716-728 (2017) - [j90]Alireza Keshavarz-Haddad, Ehsan Aryafar, Michael Wang, Mung Chiang:
HetNets Selection by Clients: Convergence, Efficiency, and Practicality. IEEE/ACM Trans. Netw. 25(1): 406-419 (2017) - [c176]Mohammad Shahrad, Cristian Klein, Liang Zheng, Mung Chiang, Erik Elmroth, David Wentzlaff:
Incentivizing self-capping to increase cloud utilization. SoCC 2017: 52-65 - [c175]Andrew S. Lan, Christopher G. Brinton, Tsung-Yen Yang, Mung Chiang:
Behavior-Based Latent Variable Model for Learner Engagement. EDM 2017 - [c174]Xiaoli Wang, Aakanksha Chowdhery, Mung Chiang:
Networked Drone Cameras for Sports Streaming. ICDCS 2017: 308-318 - [c173]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 - [c172]Weiyu Chen, Christopher G. Brinton, Da Cao, Mung Chiang:
Behavior in social learning networks: Early detection for online short-courses. INFOCOM 2017: 1-9 - [c171]Zhe Huang, S. Matthew Weinberg, Liang Zheng, Carlee Joe-Wong, Mung Chiang:
Discovering valuations and enforcing truthfulness in a deadline-aware scheduler. INFOCOM 2017: 1-9 - [c170]Liang Zheng, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee Wei Tan, Mung Chiang:
Economic viability of a virtual ISP. INFOCOM 2017: 1-9 - [c169]Ta-Cheng Chang, Liang Zheng, Maria Gorlatova, Chege Gitau, Ching-Yao Huang, Mung Chiang:
Decomposing Data Analytics in Fog Networks. SenSys 2017: 35:1-35:2 - [c168]Yixin Sun, Anne Edmundson, Nick Feamster, Mung Chiang, Prateek Mittal:
Counter-RAPTOR: Safeguarding Tor Against Active Routing Attacks. IEEE Symposium on Security and Privacy 2017: 977-992 - [c167]Suzan Bayhan, Liang Zheng, Jiasi Chen, Mario Di Francesco, Jussi Kangasharju, Mung Chiang:
Improving cellular capacity with white space offloading. WiOpt 2017: 1-8 - [c166]Liang Zheng, Jiasi Chen, Carlee Joe-Wong, Chee-Wei Tan, Mung Chiang:
An economic analysis of wireless network infrastructure sharing. WiOpt 2017: 1-8 - [e2]Junshan Zhang, Mung Chiang, Bruce M. Maggs:
Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, SEC 2017, CA, USA, October 12-14, 2017. ACM 2017, ISBN 978-1-4503-5087-7 [contents] - [i30]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) - [i29]Yixin Sun, Anne Edmundson, Nick Feamster, Mung Chiang, Prateek Mittal:
Counter-RAPTOR: Safeguarding Tor Against Active Routing Attacks. CoRR abs/1704.00843 (2017) - [i28]Arsalan Mosenia, Jad F. Bechara, Tao Zhang, Prateek Mittal, Mung Chiang:
ProCMotive: Bringing Programability and Connectivity into Isolated Vehicles. CoRR abs/1709.07450 (2017) - [i27]Hazer Inaltekin, Maria Gorlatova, Mung Chiang:
Virtualized Control over Fog: Interplay Between Reliability and Latency. CoRR abs/1712.00100 (2017) - [i26]Mohammad Shahrad, Arsalan Mosenia, Liwei Song, Mung Chiang, David Wentzlaff, Prateek Mittal:
Acoustic Denial of Service Attacks on HDDs. CoRR abs/1712.07816 (2017) - 2016
- [j89]Xiaoli Wang, Ming-Jye Sheng, Yuan-Yao Lou, Yuan-Yao Shih, Mung Chiang:
Internet of Things Session Management Over LTE - Balancing Signal Load, Power, and Delay. IEEE Internet Things J. 3(3): 339-353 (2016) - [j88]Mung Chiang, Tao Zhang:
Fog and IoT: An Overview of Research Opportunities. IEEE Internet Things J. 3(6): 854-864 (2016) - [j87]Matthew Andrews, Mung Chiang, Sangtae Ha, Jianwei Huang, Soumya Sen:
Innovation in network pricing [Guest Editorial]. IEEE Netw. 30(2): 4-5 (2016) - [j86]Felix Ming Fai Wong, Chee-Wei Tan, Soumya Sen, Mung Chiang:
Quantifying Political Leaning from Tweets, Retweets, and Retweeters. IEEE Trans. Knowl. Data Eng. 28(8): 2158-2172 (2016) - [j85]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) - [j84]Jinsung Lee, Hojin Lee, Yung Yi, Song Chong, Edward W. Knightly, Mung Chiang:
Making 802.11 DCF Near-Optimal: Design, Implementation, and Evaluation. IEEE/ACM Trans. Netw. 24(3): 1745-1758 (2016) - [j83]Felix Ming Fai Wong, Zhenming Liu, Mung Chiang:
On the Efficiency of Social Recommender Networks. IEEE/ACM Trans. Netw. 24(4): 2512-2524 (2016) - [j82]Christopher G. Brinton, Swapna Buccapatnam, Mung Chiang, H. Vincent Poor:
Mining MOOC Clickstreams: Video-Watching Behavior vs. In-Video Quiz Performance. IEEE Trans. Signal Process. 64(14): 3677-3692 (2016) - [j81]Aveek Dutta, Mung Chiang:
"See Something, Say Something" Crowdsourced Enforcement of Spectrum Policies. IEEE Trans. Wirel. Commun. 15(1): 67-80 (2016) - [c165]Zhe Huang, Bharath Balasubramanian, Michael Wang, Tian Lan, Mung Chiang, Danny H. K. Tsang:
RUSH: A RobUst ScHeduler to Manage Uncertain Completion-Times in Shared Clouds. ICDCS 2016: 242-251 - [c164]Christopher G. Brinton, Swapna Buccapatnam, Felix Ming Fai Wong, Mung Chiang, H. Vincent Poor:
Social learning networks: Efficiency optimization for MOOC forums. INFOCOM 2016: 1-9 - [c163]Xiaoli Wang, Aakanksha Chowdhery, Mung Chiang:
SkyEyes: adaptive video streaming from UAVs. HotWireless@MobiCom 2016: 2-6 - [c162]Michael Wang, Aveek Dutta, Swapna Buccapatnam, Mung Chiang:
Regret-Minimizing Exploration in HetNets with mmWave. SECON 2016: 1-9 - [c161]Liang Zheng, Carlee Joe-Wong, Christopher G. Brinton, Chee-Wei Tan, Sangtae Ha, Mung Chiang:
On the Viability of a Cloud Virtual Service Provider. SIGMETRICS 2016: 235-248 - [i25]