{C35} M. U. Kim, H. Lee, H. J. Yang, and M. S. Ryoo, “Privacy-Preserving Robot Vision with Anonymized Faces by Extreme Low Resolution,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, Nov. 2019.

{C35} M. U. Kim, H. Lee, H. J. Yang, and M. S. Ryoo, “Privacy-Preserving Robot Vision with Anonymized Faces by Extreme Low Resolution,”  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, Nov. 2019. Abstact   As smart cameras are becoming ubiquitous in mobile robot systems, there is an increasing concern in camera devices… Continue reading

{C34} H. Kim, M. Oh, H. Lee, J. Jang, M. U. Kim, H. J. Yang*, M. Ryoo, and J. Lee, “Deep-Learning Based Autofocus Score Prediction of Scanning Electron Microscope,” Microscopy & Microanalysis 2019, Portland, OR.

{C34} H. Kim, M. Oh, H. Lee, J. Jang, M. U. Kim, H. J. Yang*, M. Ryoo, and J. Lee, “Deep-Learning Based Autofocus Score Prediction of Scanning Electron Microscope,” Microscopy & Microanalysis 2019, Portland, OR.

{C33} J. Lee, H. Noh, and H. J. Yang, “Performance Analysis of Beamforming for Radar and Communications Coexisting Systems,” in Proc. International Conference on ICT Convergence (ICTC), 2018.

{C33} J. Lee, H. Noh, and H. J. Yang, “Performance Analysis of Beamforming for Radar and Communications Coexisting Systems,” in Proc. International Conference on ICT Convergence (ICTC), 2018. Several studies have been conducted for designing beam synthesis in radar and communications combined systems, in pursuit of enhancing the performance of the target detection and wireless… Continue reading

{C32} H. Noh, J. Lee, and H. J. Yang, “Beam Synthesis under Feasible Scenarios for Radar and Communications Combined Systems,” in Proc. International Conference on ICT Convergence (ICTC), 2018.

{C32} H. Noh, J. Lee, and H. J. Yang, “Beam Synthesis under Feasible Scenarios for Radar and Communications Combined Systems,” in Proc. International Conference on ICT Convergence (ICTC), 2018. Spectrum sharing for radar and communications can maximize the utilization of frequency resource. Though several studies have considered the coexistence and joint transmission to accomplish the… Continue reading

{C31} J. Jang and H. J. Yang, “Learning-Based Distributed Resource Allocation in Asynchronous Multicell Networks,” in Proc. International Conference on ICT Convergence (ICTC), 2018.

{C31} J. Jang and H. J. Yang, “Learning-Based Distributed Resource Allocation in Asynchronous Multicell Networks,” in Proc. International Conference on ICT Convergence (ICTC), 2018. A resource allocation problem is tackled in asynchronous multicell downlink LTE-LAA networks to improve the proportional fairness by assuming limited channel state information (CSI). Previous studies solve the resource allocation problem… Continue reading

{C30} M. U. Kim and H. J. Yang, “RNN-Based Node Selection for Sensor Networks with Energy Harvesting,” in Proc. International Conference on ICT Convergence (ICTC), Jeju, Korea, Oct. 2018, pp.1316-1318.

{C30} M. U. Kim and H. J. Yang, “RNN-Based Node Selection for Sensor Networks with Energy Harvesting,” in Proc. International Conference on ICT Convergence (ICTC), Jeju, Korea, Oct.2018, pp.1316-1318. A novel recurrent neural network (RNN) based node selection is proposed for sensor networks with energy harvesting, where the downlink (DL) simultaneous wireless information and power… Continue reading

{C29} H. Lee, H. Kim, and H. J. Yang, “Development of an LAA-LTE Transmitter with Lightweight Wi-Fi Frame Detection,” Accepted, the 24th Annual International Conference on Mobile Computing and Networking (MobiCom 2018 poster), New Delhi, India, Oct. 2018.

{C29} H. Lee, H. Kim, and H. J. Yang, “Development of an LAA-LTE Transmitter with Lightweight Wi-Fi Frame Detection,” Accepted, the 24th Annual International Conference on Mobile Computing and  Networking (MobiCom 2018 poster), New Delhi, India, Oct. 2018.

{C28} M. S. Ryoo, K. Kim, and H. J. Yang*, “Extreme low resolution activity recognition with multi-Siamese embedding learning,” AAAI Conference on Artificial Intelligence (one of the top AI conferences, acceptance rate=24.6%), New Orleans, Louisiana, Feb. 2018.

[C28] M. S. Ryoo, Kiyoon Kim, Hyun Jong Yang*, “Extreme low resolution activity recognition with multi-Siamese  embedding learning,” AAAI Conference on Artificial Intelligence (one of the top AI conferences, acceptance rate=24.6%), New Orleans, Louisiana, Feb. 2018. [arXiv]   Abstract This paper presents an approach for recognition of human activities from extreme low resolution (e.g., 16×12) videos. Extreme low resolution… Continue reading

{C27} M. S. Ryoo*, B. Rothrock, C. Fleming, H. J. Yang*, “Privacy-preserving human activity recognition from extreme low resolution,” AAAI Conference on Artificial Intelligence (one of the top AI conferences, acceptance rate=24.6%), San Francisco, CA, Feb. 2017.

[C27] M. S. Ryoo*, Brandon Rothrock, Charles Fleming, Hyun Jong Yang*, “Privacy-preserving human activity recognition from extreme low resolution,” AAAI Conference on Artificial Intelligence (one of the top AI conferences, acceptance rate=24.6%), San Francisco, CA, Feb. 2017. [arXiv]   Abstract Privacy protection from unwanted video recordings is an important societal challenge. We desire a computer… Continue reading

{C26} J. G. Jang, W. Park, H. J. Yang, and H. G. Jwa, “Joint user association and resource allocation in small cells with limited backhaul capacity,” 50th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2016.

Abstract   User association and resource allocation for downlink orthogonal frequency division multiplexing are jointly optimized in small cells networks with limited backhaul. In particular, per resource block resource allocation under the backhaul constraint is formulated in pursuit of maximizing proportional fairness, which leads to an integer problem requiring prohibitive computational complexity to solve. We… Continue reading