Mung Chiang

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 134

Top Venues

CoRR

INFOCOM

IEEE/ACM Trans. Netw.

IEEE J. Sel. Areas Commun.

Publications

Hyoyoung Lim, Jinsung Lee, Jongyun Lee, Sandesh Dhawaskar Sathyanarayana, Junseon Kim, Anh Nguyen, Kwang Taik Kim, Youngbin Im, Mung Chiang, Dirk Grunwald, Kyunghan Lee, Sangtae Ha
An Empirical Study of 5G: Effect of Edge on Transport Protocol and Application Performance. IEEE Trans. Mob. Comput. 23 (4) (2024)
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. IEEE/ACM Trans. Netw. 32 (1) (2024)
Dong-Jun Han, Do-Yeon Kim, Minseok Choi, David Nickel, Jaekyun Moon, Mung Chiang, Christopher G. Brinton
Federated Split Learning With Joint Personalization-Generalization for Inference-Stage Optimization in Wireless Edge Networks. IEEE Trans. Mob. Comput. 23 (6) (2024)
Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
Cooperative Federated Learning Over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. IEEE J. Sel. Areas Commun. 42 (5) (2024)
Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Christopher G. Brinton, Mung Chiang
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. CoRR (2023)
Roberto Morabito, Mallik Tatipamula, Sasu Tarkoma, Mung Chiang
Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities. CAMAD (2023)
Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. CoRR (2023)
Eric Ruzomberka, Kwang Taik Kim, Arnob Ghosh, David J. Love, Mung Chiang
A Novel Framework for Cost Constrained Network Sharing. IEEE Trans. Mob. Comput. 22 (8) (2023)
Su Wang, Roberto Morabito, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks. CoRR (2023)
Roberto Morabito, Mallik Tatipamula, Sasu Tarkoma, Mung Chiang
Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities. CoRR (2023)
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. IEEE/ACM Trans. Netw. 31 (6) (2023)
Xiang Li, Mustafa Abdallah, Shikhar Suryavansh, Mung Chiang, Saurabh Bagchi
DAG-based Task Orchestration for Edge Computing. CoRR (2023)
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. IEEE Trans. Netw. Serv. Manag. 20 (2) (2023)
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 (2023)
Zhan-Lun Chang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
Asynchronous Multi-Model Federated Learning over Wireless Networks: Theory, Modeling, and Optimization. CoRR (2023)
Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Mung Chiang, Christopher G. Brinton
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. MobiHoc (2023)
Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang
Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks. IEEE Commun. Mag. 61 (12) (2023)
Jonathan C. Spencer, Sanjiban Choudhury, Matthew Barnes, Matthew Schmittle, Mung Chiang, Peter J. Ramadge, Siddhartha S. Srinivasa
Expert Intervention Learning. Auton. Robots 46 (1) (2022)
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 (2022)
Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor
Interference Cancellation GAN Framework for Dynamic Channels. CoRR (2022)
Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. CoRR (2022)
Xiang Li, Mustafa Abdallah, Shikhar Suryavansh, Mung Chiang, Kwang Taik Kim, Saurabh Bagchi
DAG-based Task Orchestration for Edge Computing. SRDS (2022)
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 (2022)
Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. GLOBECOM (2022)
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)
Hung T. Nguyen, H. Vincent Poor, Mung Chiang
Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing. CoRR (2022)
Vikash Sehwag, Mung Chiang, Prateek Mittal
SSD: A Unified Framework for Self-Supervised Outlier Detection. ICLR (2021)
Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. CoRR (2021)
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)
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)
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)
Roberto Morabito, Mung Chiang
Demo: Discover, Provision, and Orchestration of Machine Learning Inference Services in Heterogeneous Edge. ICDCS (2021)
Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal
Improving Adversarial Robustness Using Proxy Distributions. CoRR (2021)
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)
Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim, Mung Chiang
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge. CoRR (2021)
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) (2021)
Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor
Adversarial Neural Networks for Error Correcting Codes. CoRR (2021)
Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor
Adversarial Neural Networks for Error Correcting Codes. GLOBECOM (2021)
Vikash Sehwag, Mung Chiang, Prateek Mittal
SSD: A Unified Framework for Self-Supervised Outlier Detection. CoRR (2021)
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) (2021)
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 (2021)
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) (2020)
Kwang Taik Kim, Carlee Joe-Wong, Mung Chiang
Coded Edge Computing. INFOCOM (2020)
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)
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)
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 (2020)
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 (2020)
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 (2020)
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)
Vikash Sehwag, Rajvardhan Oak, Mung Chiang, Prateek Mittal
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks. CoRR (2020)
Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor
Fast-Convergent Federated Learning. CoRR (2020)
Maria Gorlatova, Hazer Inaltekin, Mung Chiang
Characterizing task completion latencies in multi-point multi-quality fog computing systems. Comput. Networks 181 (2020)
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 (2020)
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)
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) (2020)
Yixin Sun, Maria Apostolaki, Henry Birge-Lee, Laurent Vanbever, Jennifer Rexford, Mung Chiang, Prateek Mittal
Securing Internet Applications from Routing Attacks. CoRR (2020)
Parinaz Naghizadeh, Carlee Joe-Wong, Mung Chiang
Paid Prioritization with Content Competition. CoRR (2020)
Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein
RobustBench: a standardized adversarial robustness benchmark. CoRR (2020)
Yuwei Tu, Christopher G. Brinton, Andrew S. Lan, Mung Chiang
Adaptive Remediation with Multi-modal Content. HCI (32) (2019)
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)
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) (2019)
Pranvera Kortoçi, Liang Zheng, Carlee Joe-Wong, Mario Di Francesco, Mung Chiang
Fog-based Data Offloading in Urban IoT Scenarios. INFOCOM (2019)
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)
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 (2019)
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)
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)
Surin Ahn, Maria Gorlatova, Parinaz Naghizadeh, Mung Chiang
Personalized augmented reality via fog-based imitation learning. IoT-Fog@IoTDI (2019)
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) (2019)
Shikhar Suryavansh, Chandan Bothra, Mung Chiang, Chunyi Peng, Saurabh Bagchi
Tango of edge and cloud execution for reliability. MECC@Middleware (2019)
Aakanksha Chowdhery, Mung Chiang
Model Predictive Compression for Drone Video Analytics. SECON Workshops (2018)
Maria Gorlatova, Hazer Inaltekin, Mung Chiang
Characterizing Task Completion Latencies in Fog Computing. CoRR (2018)
Andrew S. Lan, Jonathan C. Spencer, Ziqi Chen, Christopher G. Brinton, Mung Chiang
Personalized Thread Recommendation for MOOC Discussion Forums. ECML/PKDD (2) (2018)
Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Prateek Mittal, Mung Chiang
Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and Logos. CoRR (2018)
Yang Yang, Xiumei Yang, Wenzhan Song, John K. Zao, Mung Chiang
Special issue on fog networks. J. Commun. Networks 20 (3) (2018)
Surin Ahn, Maria Gorlatova, Parinaz Naghizadeh, Mung Chiang, Prateek Mittal
Adaptive Fog-Based Output Security for Augmented Reality. VR/AR Network@SIGCOMM (2018)
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)
Ryan Wails, Yixin Sun, Aaron Johnson, Mung Chiang, Prateek Mittal
Tempest: Temporal Dynamics in Anonymity Systems. CoRR (2018)
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) (2018)
Da Cao, Andrew S. Lan, Weiyu Chen, Christopher G. Brinton, Mung Chiang
Learner Behavioral Feature Refinement and Augmentation Using GANs. AIED (2) (2018)
Andrew S. Lan, Mung Chiang, Christoph Studer
Linearized binary regression. CISS (2018)
Andrew S. Lan, Jonathan C. Spencer, Ziqi Chen, Christopher G. Brinton, Mung Chiang
Personalized Thread Recommendation for MOOC Discussion Forums. CoRR (2018)
Mohammad Shahrad, Arsalan Mosenia, Liwei Song, Mung Chiang, David Wentzlaff, Prateek Mittal
Acoustic Denial of Service Attacks on Hard Disk Drives. ASHES@CCS (2018)
Liang Zheng, Carlee Joe-Wong, Matthew Andrews, Mung Chiang
Optimizing Data Plans: Usage Dynamics in Mobile Data Networks. INFOCOM (2018)
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)
Andrew S. Lan, Mung Chiang, Christoph Studer
An Estimation and Analysis Framework for the Rasch Model. CoRR (2018)
Ryan Wails, Yixin Sun, Aaron Johnson, Mung Chiang, Prateek Mittal
Tempest: Temporal Dynamics in Anonymity Systems. Proc. Priv. Enhancing Technol. 2018 (3) (2018)
Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, Prateek Mittal
DARTS: Deceiving Autonomous Cars with Toxic Signs. CoRR (2018)
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 (2018)
Hazer Inaltekin, Maria Gorlatova, Mung Chiang
Virtualized Control Over Fog: Interplay Between Reliability and Latency. IEEE Internet Things J. 5 (6) (2018)
Ruijiu Mao, Vaneet Aggarwal, Mung Chiang
Stochastic Non-preemptive Co-flow Scheduling with Time-Indexed Relaxation. CoRR (2018)
Mikhail Khodak, Liang Zheng, Andrew S. Lan, Carlee Joe-Wong, Mung Chiang
Learning Cloud Dynamics to Optimize Spot Instance Bidding Strategies. INFOCOM (2018)
Ruijiu Mao, Vaneet Aggarwal, Mung Chiang
Stochastic non-preemptive co-flow scheduling with time-indexed relaxation. INFOCOM Workshops (2018)
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) (2018)
Andrew S. Lan, Mung Chiang, Christoph Studer
An Estimation and Analysis Framework for the Rasch Model. ICML (2018)
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)
Liang Zheng, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee Wei Tan, Mung Chiang
Economic viability of a virtual ISP. INFOCOM (2017)
Alireza Keshavarz-Haddad, Ehsan Aryafar, Michael Wang, Mung Chiang
HetNets Selection by Clients: Convergence, Efficiency, and Practicality. IEEE/ACM Trans. Netw. 25 (1) (2017)
Mung Chiang, Sangtae Ha, Chih-Lin I, Fulvio Risso, Tao Zhang
Fog Computing and Networking: Part 1. IEEE Commun. Mag. 55 (4) (2017)
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 (2017)
Yixin Sun, Anne Edmundson, Nick Feamster, Mung Chiang, Prateek Mittal
Counter-RAPTOR: Safeguarding Tor Against Active Routing Attacks. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mung Chiang