CSE_Conference Papers

Issue DateTitleAuthor(s)TypeView
2021-11-19DEVIATE: A Deep Learning Variance Testing FrameworkPham, Hung Viet; Kim, Mijung, et alCONFERENCE27
2021-09-27Gridlock-free Autonomous Parking Lots for Autonomous VehiclesAu, Tsz-ChiuCONFERENCE31
2021-09-19Calibrating Dynamic Traffic Assignment Models by Parallel Search using Active-CMA-ESJaebak Hwang; Ko, Sungahn, et alCONFERENCE30
2021-08-09Pattern Matching in Doubling SpacesAllair, Corentin; Vigneron, AntoineCONFERENCE22
2021-06-23Efficient Homomorphic Conversion Between (Ring) LWE CiphertextsChen, Hao; Dai, Wei, et alCONFERENCE38
2021-06-09A simulated annealing approach to coordinated motion planningYang, Hyeyun; Vigneron, AntoineCONFERENCE32
2021-05-30Multiple-Place Swarm Foraging with Dynamic Robot ChainsLee, Dohee; Lu, Qi, et alCONFERENCE108
2021-05-20Deep Functional Network (DFN): Functional Interpretation of Deep Neural Networks for Intelligent Sensing SystemsLee, Seulki; Nirjon, ShahriarCONFERENCE9
2021-05-18PALM: Progress- and Locality-Aware Adaptive Task Migration for Efficient Thread PackingPark, Jinsu; Park, Seongbeom, et alCONFERENCE24
2021-04-21Wait, Let’s Think about Your Purchase Again: A Study on Interventions for Supporting Self-Controlled Online PurchasesHan, Yunha; Kim, Hwiyeon, et alCONFERENCE62
2021-04-21An empirical experiment on deep learning models for predicting traffic dataLee, Hyunwook; Park, Cheonbok, et alCONFERENCE43
2020-12-16Homomorphic Computation of Local AlignmentBataa, Magsarjav; Song, Siwoo, et alCONFERENCE56
2020-12-10Maliciously secure matrix multiplication with applications to private deep learningChen, Hao; Kim, Miran, et alCONFERENCE113
2020-11-16Learning in the Wild: When, How, and What to Learn for On-Device Dataset AdaptationLee, Seulki; Nirjon, ShahriarCONFERENCE9
2020-11SPARCLE: Streaming Processing Applications over Dispersed Computing NetworksRahimzadeh, Parisa; Lee, Jinsung, et alCONFERENCE93
2020-11FluidMem: Full Flexible and Fast Memory Disaggregation for the CloudCaldwell, Blake; Im, Youngbin, et alCONFERENCE89
2020-10-19ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road SpeedPark, Cheonbok; Lee, Chunggi, et alCONFERENCE106
2020-07-16HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data ParallelismJay H. Park; Gyeongchan Yun, et alCONFERENCE139
2020-07-15FuZZan: Efficient sanitizer metadata design for fuzzingJeon, Yuseok; Han, W., et alCONFERENCE154
2020-06-17Fast and scalable in-memory deep multitask learning via neural weight virtualizationLee, Seulki; Nirjon, ShahriarCONFERENCE8