Hochan Lee

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Compressed Text

Convolutional Neural Network

Machine Learning

Top Venues

IEEE Trans. Netw. Serv. Manag.

Publications

Hochan Lee, Roshan Dathathri, Keshav Pingali
Kimbap: A Node-Property Map System for Distributed Graph Analytics. ASPLOS (2) (2024)
Chanbin Bae, Hochan Lee, Sangheon Pack, Youngmin Ji
Accelerating Federated Learning at Programmable User Plane Function via In-Network Aggregation. ICOIN (2024)
William Ruys, Hochan Lee, Bozhi You, Shreya Talati, Jaeyoung Park, James Almgren-Bell, Yineng Yan, Milinda Fernando, George Biros, Mattan Erez, Martin Burtscher, Christopher J. Rossbach, Keshav Pingali, Milos Gligoric
A Deep Dive into Task-Based Parallelism in Python. IPDPS (Workshops) (2024)
Taeho Park, Hochan Lee, Heewon Kim, Subin Han, Taeyun Kim, Sangheon Pack
Divide and Cache: Design and Implementation of Control Plane Framework for Private 5G. IEEE Trans. Netw. Serv. Manag. 21 (2) (2024)
Hongrok Choi, Hochan Lee, Dongkyun Ryoo, Heewon Kim, Haneul Ko, Sangheon Pack
In-Orbit Aggregator-Empowered Federated Learning Framework for Satellite and Terrestrial-Integrated Networks. ICOIN (2024)
Hochan Lee, Haneul Ko, Chanbin Bae, Sangheon Pack
Accelerating Convolutional Neural Network Inference in Split Computing: An In-Network Computing Approach. ICOIN (2024)
Taeho Park, Hochan Lee, Heewon Kim, Subin Han, Taeyun Kim, Sangheon Pack
Divide and Cache: A Novel Control Plane Framework for Private 5G Networks. CCNC (2023)
Sol Han, Hochan Lee, Subin Han, Heewon Kim, Sangheon Pack
Multi-Tenancy- and Redundancy-Aware In-Network Aggregation using Programmable Switches. IEEE Netw. 37 (3) (2023)
Hochan Lee, Jaewook Lee, Heewon Kim, Sangheon Pack
Straggler-Aware In-Network Aggregation for Accelerating Distributed Deep Learning. IEEE Trans. Serv. Comput. 16 (6) (2023)
Seoyul Oh, Sol Han, Hochan Lee, Sangheon Pack
BACKWARD: A Victim-Centric DDoS Detection and Mitigation Scheme in Programmable Data Plane. CCNC (2023)
Heewon Kim, Hochan Lee, Sangheon Pack
Traffic-Aware In-Network Aggregation Placement for Multi-Tenant Distributed Machine Learning. ICCCN (2023)
Hochan Lee, Heewon Kim, Chanbin Bae, Yujin Kim, Sangheon Pack
Quantization-Aware In-Network Aggregation for Minimizing Communication Overhead. CoNEXT (Companion) (2023)
Haneul Ko, Hochan Lee, Taeyun Kim, Sangheon Pack
LPGA: Location Privacy-Guaranteed Offloading Algorithm in Cache-Enabled Edge Clouds. IEEE Trans. Cloud Comput. 10 (4) (2022)
Hochan Lee, William Ruys, Ian Henriksen, Arthur Peters, Yineng Yan, Sean Stephens, Bozhi You, Henrique Fingler, Martin Burtscher, Milos Gligoric, Karl Schulz, Keshav Pingali, Christopher J. Rossbach, Mattan Erez, George Biros
Parla: A Python Orchestration System for Heterogeneous Architectures. SC (2022)
Jaewook Lee, Haneul Ko, Hochan Lee, Sangheon Pack
Flow-Aware Service Function Embedding Algorithm in Programmable Data Plane. IEEE Access 9 (2021)
Minjeong Lee, Jaewook Lee, Hochan Lee, Taeyun Kim, Sangheon Pack
On Performance of Deep Reinforcement Learning-based Listen-Before-Talk (LBT) Scheme. ICOIN (2021)
Sol Han, Seokwon Jang, Hongrok Choi, Hochan Lee, Sangheon Pack
Virtualization in Programmable Data Plane: A Survey and Open Challenges. IEEE Open J. Commun. Soc. 1 (2020)
Sol Han, Seokwon Jang, Hochan Lee, Sangheon Pack
Switch-Centric Byzantine Fault Tolerance Mechanism in Distributed Software Defined Networks. IEEE Commun. Lett. 24 (10) (2020)
Hochan Lee, David Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, Keshav Pingali
A Study of APIs for Graph Analytics Workloads. IISWC (2020)
Haneul Ko, Hochan Lee, Taeyun Kim, Sangheon Pack
Information Freshness-Guaranteed and Energy-Efficient Data Generation Control System in Energy Harvesting Internet of Things. IEEE Access 8 (2020)
Bernhard Egger, Eunjin Song, Hochan Lee, Daeyong Shin
Random test program generation for verification and validation of the Samsung Reconfigurable Processor. J. Syst. Archit. 97 (2019)
Hochan Lee, Mansureh S. Moghaddam, Dongkwan Suh, Bernhard Egger
Improving Energy Efficiency of Coarse-Grain Reconfigurable Arrays Through Modulo Schedule Compression/Decompression. ACM Trans. Archit. Code Optim. 15 (1) (2018)
Bernhard Egger, Eunjin Song, Hochan Lee, Daeyoung Shin
Verification of coarse-grained reconfigurable arrays through random test programs. LCTES (2018)
Bernhard Egger, Hochan Lee, Duseok Kang, Mansureh S. Moghaddam, Youngchul Cho, Yeonbok Lee, Sukjin Kim, Soonhoi Ha, Kiyoung Choi
A space- and energy-efficient code Compression/Decompression technique for coarse-grained reconfigurable architectures. CGO (2017)