Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Choong Seon Hong

Choong Seon Hong

Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging


Aug 02, 2021
Md. Shirajum Munir, Ki Tae Kim, Kyi Thar, Dusit Niyato, Choong Seon Hong

Figure 1 for Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
Figure 2 for Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
Figure 3 for Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
Figure 4 for Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
* Submitted to IEEE publisher for peer review 
  Access Paper or Ask Questions

Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing


Jul 30, 2021
Yan Kyaw Tun, Tri Nguyen Dang, Kitae Kim, Madyan Anselwi, Walid Saad, Choong Seon Hong

Figure 1 for Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing
Figure 2 for Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing
Figure 3 for Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing
Figure 4 for Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing
* Submitted to IEEE Internet of Things Journals 
  Access Paper or Ask Questions

Trajectory Optimization and Phase-Shift Design in IRS Assisted UAV Network for High Speed Trains


Jul 02, 2021
Yu Min Park, Yan Kyaw Tun, Zhu Han, Choong Seon Hong

Figure 1 for Trajectory Optimization and Phase-Shift Design in IRS Assisted UAV Network for High Speed Trains
Figure 2 for Trajectory Optimization and Phase-Shift Design in IRS Assisted UAV Network for High Speed Trains
Figure 3 for Trajectory Optimization and Phase-Shift Design in IRS Assisted UAV Network for High Speed Trains
Figure 4 for Trajectory Optimization and Phase-Shift Design in IRS Assisted UAV Network for High Speed Trains
* This paper has been submitted to IEEE Wireless Communications Letters 
  Access Paper or Ask Questions

A Business Model for Resource Sharing in Cell-Free UAVs-Assisted Wireless Networks


Jul 02, 2021
Yan Kyaw Tun, Yu Min Park, Tra Huong Thi Le, Zhu Han, Choong Seon Hong

Figure 1 for A Business Model for Resource Sharing in Cell-Free UAVs-Assisted Wireless Networks
Figure 2 for A Business Model for Resource Sharing in Cell-Free UAVs-Assisted Wireless Networks
Figure 3 for A Business Model for Resource Sharing in Cell-Free UAVs-Assisted Wireless Networks
Figure 4 for A Business Model for Resource Sharing in Cell-Free UAVs-Assisted Wireless Networks
* This paper has been submitted to IEEE Transactions on Vehicular Technology 
  Access Paper or Ask Questions

A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars


May 20, 2021
Latif U. Khan, Yan Kyaw Tun, Madyan Alsenwi, Muhammad Imran, Zhu Han, Choong Seon Hong

Figure 1 for A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars
Figure 2 for A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars
Figure 3 for A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars
Figure 4 for A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars

  Access Paper or Ask Questions

Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces


Mar 31, 2021
Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Choong Seon Hong

Figure 1 for Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces
Figure 2 for Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces
Figure 3 for Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces
Figure 4 for Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces

  Access Paper or Ask Questions

Edge-assisted Democratized Learning Towards Federated Analytics


Dec 01, 2020
Shashi Raj Pandey, Minh N. H. Nguyen, Tri Nguyen Dang, Nguyen H. Tran, Kyi Thar, Zhu Han, Choong Seon Hong

Figure 1 for Edge-assisted Democratized Learning Towards Federated Analytics
Figure 2 for Edge-assisted Democratized Learning Towards Federated Analytics
Figure 3 for Edge-assisted Democratized Learning Towards Federated Analytics
Figure 4 for Edge-assisted Democratized Learning Towards Federated Analytics
* Submitted to IEEE for possible publication 
  Access Paper or Ask Questions

Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks


Nov 25, 2020
Minh N. H. Nguyen, Nguyen H. Tran, Yan Kyaw Tun, Zhu Han, Choong Seon Hong

Figure 1 for Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks
Figure 2 for Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks
Figure 3 for Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks
Figure 4 for Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks

  Access Paper or Ask Questions

An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach


Sep 22, 2020
Tra Huong Thi Le, Nguyen H. Tran, Yan Kyaw Tun, Minh N. H. Nguyen, Shashi Raj Pandey, Zhu Han, Choong Seon Hong

Figure 1 for An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
Figure 2 for An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
Figure 3 for An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
Figure 4 for An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
* Paper-TW-Apr-20-0557(2020) 
  Access Paper or Ask Questions

Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System


Aug 24, 2020
Md. Shirajum Munir, Sarder Fakhrul Abedin, Ki Tae Kim, Do Hyeon Kim, Md. Golam Rabiul Alam, Choong Seon Hong

Figure 1 for Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System
Figure 2 for Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System
Figure 3 for Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System
Figure 4 for Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System
* Submitted to IEEE Transactions on Intelligent Transportation Systems, Special Issue on Technologies for risk mitigation and support of impaired drivers 
  Access Paper or Ask Questions

Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems


Jul 07, 2020
Minh N. H. Nguyen, Shashi Raj Pandey, Tri Nguyen Dang, Eui-Nam Huh, Choong Seon Hong, Nguyen H. Tran, Walid Saad

Figure 1 for Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems
Figure 2 for Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems
Figure 3 for Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems
Figure 4 for Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems

  Access Paper or Ask Questions

Delay Minimization for Federated Learning Over Wireless Communication Networks


Jul 05, 2020
Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui

Figure 1 for Delay Minimization for Federated Learning Over Wireless Communication Networks
Figure 2 for Delay Minimization for Federated Learning Over Wireless Communication Networks
Figure 3 for Delay Minimization for Federated Learning Over Wireless Communication Networks
* arXiv admin note: substantial text overlap with arXiv:1911.02417 
  Access Paper or Ask Questions

Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks


Mar 19, 2020
Sihua Wang, Mingzhe Chen, Changchuan Yin, Walid Saad, Choong Seon Hong, Shuguang Cui, H. Vincent Poor

Figure 1 for Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks
Figure 2 for Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks
Figure 3 for Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks
Figure 4 for Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks

  Access Paper or Ask Questions

Distributed and Democratized Learning: Philosophy and Research Challenges


Mar 18, 2020
Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen H. Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong

Figure 1 for Distributed and Democratized Learning: Philosophy and Research Challenges
Figure 2 for Distributed and Democratized Learning: Philosophy and Research Challenges
Figure 3 for Distributed and Democratized Learning: Philosophy and Research Challenges
Figure 4 for Distributed and Democratized Learning: Philosophy and Research Challenges

  Access Paper or Ask Questions

Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach


Feb 21, 2020
Sarder Fakhrul Abedin, Md. Shirajum Munir, Nguyen H. Tran, Zhu Han, Choong Seon Hong

Figure 1 for Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach
Figure 2 for Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach
Figure 3 for Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach
Figure 4 for Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach
* Submitted to IEEE Transactions on Intelligent Transportation Systems, Special Issue on Unmanned Aircraft System Traffic Management 
  Access Paper or Ask Questions

Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach


Feb 21, 2020
Md. Shirajum Munir, Sarder Fakhrul Abedin, Nguyen H. Tran, Zhu Han, Eui Nam Huh, Choong Seon Hong

Figure 1 for Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach
Figure 2 for Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach
Figure 3 for Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach
Figure 4 for Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach
* Submitted to IEEE Internet of Things Journal 
  Access Paper or Ask Questions

Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems


Feb 20, 2020
Md. Shirajum Munir, Nguyen H. Tran, Walid Saad, Choong Seon Hong

Figure 1 for Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems
Figure 2 for Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems
Figure 3 for Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems
Figure 4 for Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems
* Submitted to IEEE Transactions on Network and Service Management 
  Access Paper or Ask Questions

Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication


Jan 22, 2020
Hamza Khan, Anis Elgabli, Sumudu Samarakoon, Mehdi Bennis, Choong Seon Hong

Figure 1 for Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication
Figure 2 for Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication
Figure 3 for Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication
Figure 4 for Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication
* IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, VOL. 5, NO. 4, DECEMBER 2019 
 * 13 pages, 14 figures 
  Access Paper or Ask Questions

Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding


Nov 15, 2019
Soheil Rostami, Walid Saad, Choong Seon Hong

Figure 1 for Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding
Figure 2 for Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding
Figure 3 for Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding
Figure 4 for Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding

  Access Paper or Ask Questions

Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)


Nov 13, 2019
Madyan Alsenwi, Kitae Kim, Choong Seon Hong

Figure 1 for Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)
Figure 2 for Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)
Figure 3 for Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)
Figure 4 for Radio Resource Allocation in 5G New Radio: A Neural Networks Based Approach)
* Journal of KIISE, Vol. 46, No. 9, pp.961-967, 2019 
  Access Paper or Ask Questions

Energy Efficient Federated Learning Over Wireless Communication Networks


Nov 06, 2019
Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei

Figure 1 for Energy Efficient Federated Learning Over Wireless Communication Networks
Figure 2 for Energy Efficient Federated Learning Over Wireless Communication Networks
Figure 3 for Energy Efficient Federated Learning Over Wireless Communication Networks
Figure 4 for Energy Efficient Federated Learning Over Wireless Communication Networks
* 30 pages, 10 figures 
  Access Paper or Ask Questions

A Crowdsourcing Framework for On-Device Federated Learning


Nov 04, 2019
Shashi Raj Pandey, Nguyen H. Tran, Mehdi Bennis, Yan Kyaw Tun, Aunas Manzoor, Choong Seon Hong

Figure 1 for A Crowdsourcing Framework for On-Device Federated Learning
Figure 2 for A Crowdsourcing Framework for On-Device Federated Learning
Figure 3 for A Crowdsourcing Framework for On-Device Federated Learning
Figure 4 for A Crowdsourcing Framework for On-Device Federated Learning

  Access Paper or Ask Questions

Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation


Nov 01, 2019
Canh Dinh, Nguyen H. Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Y. Zomaya, Vincent Gramoli

Figure 1 for Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation
Figure 2 for Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation
Figure 3 for Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation
Figure 4 for Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation

  Access Paper or Ask Questions