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Che-Rung Lee
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2020 – today
- 2024
- [j12]Erh-Chung Chen, Che-Rung Lee:
Data filtering for efficient adversarial training. Pattern Recognit. 151: 110394 (2024) - [c61]Ting-Chia Yao, Kai-Wen Lin, Chih-Kuo Lee, Po-Hsuan Tseng, Che-Rung Lee:
Training Sequential CAG Segmentation Models Without Labeled CAG Video Data. COMPSAC 2024: 934-940 - [c60]Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee:
Overload: Latency Attacks on Object Detection for Edge Devices. CVPR 2024: 24716-24725 - [c59]Chi-Chang Li, Jay Huang, Wing-Kai Hon, Che-Rung Lee:
RPH-PGD: Randomly Projected Hessian for Perturbed Gradient Descent. PAKDD (2) 2024: 248-259 - [c58]Kuei-Hsiang Huang, Cheng-Yu Sie, Jhong-En Lin, Che-Rung Lee:
LPSD: Low-Rank Plus Sparse Decomposition for Highly Compressed CNN Models. PAKDD (1) 2024: 353-364 - [i8]Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee:
Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks. CoRR abs/2404.15881 (2024) - [i7]Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee:
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness. CoRR abs/2406.19622 (2024) - 2023
- [c57]Hsiang-Yu Ku, Che-Rung Lee:
CoMABO: Covariance Matrix Adaptation for Bayesian Optimization. IEEE Big Data 2023: 37-45 - [c56]Chia-Chang Li, Po-Cheng Wu, Che-Rung Lee:
GSLAC: GPU Software Level Access Control for Information Isolation on Cloud Platforms. CloudCom 2023: 34-41 - [c55]Yu-Shuo Wang, Hao-Yun Chen, Chih-Kuo Lee, Che-Rung Lee:
EFFCA: Enhanced Frangi Filter for Coronary Angiography Segmentation on Mobile Edge Devices. HealthCom 2023: 238-243 - [c54]Chang-Hung Wu, Che-Rung Lee:
Multi-Sweep-Line Algorithm for Rectangle Union on GPU and Its Application for VLSI Density Calculation. HPEC 2023: 1-7 - [c53]Tsung-Tso Hsieh, Che-Rung Lee:
Voda: A GPU Scheduling Platform for Elastic Deep Learning in Kubernetes Clusters. IC2E 2023: 131-140 - [c52]Iuan Kai Fang, Bo-Hao Zhang, Te Lun Liu, Hao Tan, Wei Syun Chen, Che-Rung Lee:
MontageNet: Annotated Dataset of Furniture Components in Real-World Images. MMAsia 2023: 73:1-73:7 - [i6]Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee:
Overload: Latency Attacks on Object Detection for Edge Devices. CoRR abs/2304.05370 (2023) - 2022
- [c51]Wen-Hsiu Tsai, Po-Jui Tsao, Che-Rung Lee:
FVMM: Fast VM Migration for Virtualization-based Fault Tolerance Using Templates. CloudCom 2022: 9-16 - [c50]Guann-Ling Shen, Che-Rung Lee:
FLOMD: Fast and Low Overhead Memory Deduplication for Edge Nodes. CloudCom 2022: 83-90 - [c49]Wei-Cheng Hung, Che-Rung Lee:
CSM-DBEN: Container Storage Manager for Data Backup on Edge Nodes. CloudCom 2022: 105-112 - [c48]Che-Rung Lee, Satoshi Ohshima:
17th IEEE International Workshop on Automatic Performance Tuning (iWAPT2022). IPDPS Workshops 2022: 911-912 - 2021
- [c47]Chia-Chun Liang, Che-Rung Lee:
Automatic Selection of Tensor Decomposition for Compressing Convolutional Neural Networks A Case Study on VGG-type Networks. IPDPS Workshops 2021: 770-778 - [c46]Chi-Hsi Kung, Che-Rung Lee:
ADD: A Fine-grained Dynamic Inference Architecture for Semantic Image Segmentation. IROS 2021: 4792-4799 - [c45]Kuan-Hsian Hsieh, Erh-Chung Chen, Che-Rung Lee:
FOCM: Faster Octave Convolution Using Mix-scaling. TAAI 2021: 31-36 - [c44]Chun-Yuan Huang, Der-Yu Tsai, Che-Rung Lee:
Memory hot-zone and its application to accelerate the convergence of KSM for VM consolidation. UCC Companion 2021: 23:1-23:6 - [i5]Erh-Chung Chen, Che-Rung Lee:
LTD: Low Temperature Distillation for Robust Adversarial Training. CoRR abs/2111.02331 (2021) - [i4]Bo-Shiuan Chu, Che-Rung Lee:
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization. CoRR abs/2112.03690 (2021) - 2020
- [j11]Oscar Lijen Hsu, Che-Rung Lee:
Common Sub-Trajectory Clustering via Hypercubes in Spatiotemporal Space. IEEE Access 8: 23369-23377 (2020) - [c43]Erh-Chung Chen, Che-Rung Lee:
Towards Fast and Robust Adversarial Training for Image Classification. ACCV (3) 2020: 576-591 - [c42]Yiling Jia, Che-Rung Lee:
Vector Field Model for Trajectory Data and Its Application in Similarity Query. HPCC/DSS/SmartCity 2020: 1180-1187 - [c41]Chieh-Yu Yu, Che-Rung Lee, Po-Jui Tsao, Yu-Shiang Lin, Tzi-Cker Chiueh:
Efficient Group Fault Tolerance for Multi-tier Services in Cloud Environments. ICC 2020: 1-7 - [c40]Tsai-Jyun Fan, Chien-Yu Lu, Wei-Chen Chiu, Li Su, Che-Rung Lee:
Timbre-enhanced Multi-modal Music Style Transfer with Domain Balance Loss. TAAI 2020: 102-107
2010 – 2019
- 2019
- [j10]Janche Sang, Che-Rung Lee, Vernon Rego, Chung-Ta King:
Experiences with implementing parallel discrete-event simulation on GPU. J. Supercomput. 75(8): 4132-4149 (2019) - [c39]Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su:
Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer. AAAI 2019: 1061-1068 - [c38]Kun Xie, Che-Rung Lee, Feng-Yuan Liu:
Performance Optimization of SpMV on Spark. IEEE BigData 2019: 689-694 - [c37]Ming-ting Wei, Yu-Shiang Lin, Che-Rung Lee:
Performance Optimization for InfiniBand Virtualization on QEMU/KVM. CloudCom 2019: 19-26 - [c36]Yu-Shiang Lin, Chun-Yuan Lin, Che-Rung Lee, Yeh-Ching Chung:
qCUDA: GPGPU Virtualization for High Bandwidth Efficiency. CloudCom 2019: 95-102 - [c35]Bo-Yu Huang, Che-Rung Lee:
qCUDA-ARM: Virtualization for Embedded GPU Architectures. IOV 2019: 284-302 - 2018
- [c34]Wei-Chun Chen, Chia-Che Chang, Che-Rung Lee:
Knowledge Distillation with Feature Maps for Image Classification. ACCV (3) 2018: 200-215 - [c33]Hsiang-Yi Wu, Che-Rung Lee:
Energy Efficient Scheduling for Heterogeneous Fog Computing Architectures. COMPSAC (1) 2018: 555-560 - [c32]Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
Escaping from Collapsing Modes in a Constrained Space. ECCV (7) 2018: 212-227 - [c31]Quey-Liang Kao, Chieh-Yu Yu, Che-Rung Lee:
Kernel Assisted Container Virtualization and Its Application for Containerized CUDA Environment. HPCC/SmartCity/DSS 2018: 1201-1206 - [i3]Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
Escaping from Collapsing Modes in a Constrained Space. CoRR abs/1808.07258 (2018) - [i2]Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su:
Play as You Like: Timbre-enhanced Multi-modal Music Style Transfer. CoRR abs/1811.12214 (2018) - [i1]Wei-Chun Chen, Chia-Che Chang, Chien-Yu Lu, Che-Rung Lee:
Knowledge Distillation with Feature Maps for Image Classification. CoRR abs/1812.00660 (2018) - 2017
- [j9]Chien-Hung Chen, Che-Rung Lee, Walter Chen-Hua Lu:
Smart in-car camera system using mobile cloud computing framework for deep learning. Veh. Commun. 10: 84-90 (2017) - [c30]Cheng-Hao Huang, Che-Rung Lee:
Enhancing the Availability of Docker Swarm Using Checkpoint-and-Restore. ISPAN-FCST-ISCC 2017: 357-362 - 2016
- [c29]Hong-Cyuan Hsu, Che-Rung Lee:
G-KVM: A Full GPU Virtualization on KVM. CIT 2016: 545-552 - [c28]Hao-Che Kao, I-Ching Wang, Che-Rung Lee, Chi-Wen Lo, Hao-Ping Kang:
Accelerating HEVC Motion Estimation Using GPU. BigMM 2016: 255-258 - [c27]ShiouCheng Yu, Quey-Liang Kao, Che-Rung Lee:
Performance Optimization of the SSVD Collaborative Filtering Algorithm on MapReduce Architectures. DASC/PiCom/DataCom/CyberSciTech 2016: 612-619 - [c26]Yi-Ren Chen, Che-Rung Lee:
G-Storm: A GPU-Aware Storm Scheduler. DASC/PiCom/DataCom/CyberSciTech 2016: 738-745 - [c25]Chien-Hung Chen, Che-Rung Lee, Walter Chen-Hua Lu:
A Mobile Cloud Framework for Deep Learning and Its Application to Smart Car Camera. IOV 2016: 14-25 - [c24]Kuan-Hsin Lee, I-Cheng Lai, Che-Rung Lee:
Optimizing back-and-forth live migration. UCC 2016: 49-54 - 2015
- [c23]Hao-Ping Kang, Che-Rung Lee:
Improving Performance of Convolutional Neural Networks by Separable Filters on GPU. Euro-Par 2015: 638-649 - [c22]Ying-Chieh Wang, I-Hsin Chung, Che-Rung Lee, Michael Perrone, Yeh-Ching Chung:
Hardware Thread-Level Speculation Performance Analysis. HPCC/CSS/ICESS 2015: 900-903 - 2014
- [j8]Quey-Liang Kao, Che-Rung Lee:
Preliminary performance evaluations of the determinant quantum Monte Carlo simulations for multi-core CPU and many-core GPU. Int. J. Comput. Sci. Eng. 9(1/2): 34-43 (2014) - [j7]Shih-Hsiang Lo, Che-Rung Lee, Quey-Liang Kao, I-Hsin Chung, Yeh-Ching Chung:
Improving GPU Memory Performancewith Artificial Barrier Synchronization. IEEE Trans. Parallel Distributed Syst. 25(9): 2342-2352 (2014) - [c21]Wu-Chun Chung, Po-Chi Shih, Kuan-Chou Lai, Kuan-Ching Li, Che-Rung Lee, Jerry Chou, Ching-Hsien Hsu, Yeh-Ching Chung:
Taiwan UniCloud: A Cloud Testbed with Collaborative Cloud Services. IC2E 2014: 107-116 - [c20]Hao-Che Kao, Hao-Ping Kang, Che-Rung Lee, Kun-Hsien Lu, Shu-Hsin Chang:
Achieving cost effective cloud video services via fine grained multicore scheduling. ICPADS 2014: 471-477 - [c19]Ying-Chieh Wang, Che-Rung Lee, Yeh-Ching Chung, I-Hsin Chung, Michael Perrone:
Performance Modeling for Hardware Thread-Level Speculation. IPDPS Workshops 2014: 1457-1464 - 2013
- [j6]Tseng-Yi Chen, Hsin-Wen Wei, Che-Rung Lee, Fu-Nan Huang, Tsan-sheng Hsu, Wei-Kuan Shih:
Energy Efficient Geographic Routing Algorithms in Wireless Sensor Network. J. Interconnect. Networks 14(1) (2013) - [j5]Po-Chi Shih, Kuo-Chan Huang, Che-Rung Lee, I-Hsin Chung, Yeh-Ching Chung:
TLA: Temporal look-ahead processor allocation method for heterogeneous multi-cluster systems. J. Parallel Distributed Comput. 73(12): 1661-1672 (2013) - [j4]Che-Rung Lee:
Minimal Split Checkerboard Method for Exponentiating Sparse Matrices and Its Applications in Quantum Statistical Mechanics. SIAM J. Sci. Comput. 35(2) (2013) - [j3]Shih-Hsiang Lo, Che-Rung Lee, I-Hsin Chung, Yeh-Ching Chung:
Optimizing Pairwise Box Intersection Checking on GPUs for Large-Scale Simulations. ACM Trans. Model. Comput. Simul. 23(3): 19:1-19:22 (2013) - [c18]Fan-Wei Yu, Bo-Han Zeng, Yu-Hung Huang, Hsin-I Wu, Che-Rung Lee, Ren-Song Tsay:
A critical-section-level timing synchronization approach for deterministic multi-core instruction set simulations. DATE 2013: 643-648 - [c17]Chi-Cheng Chuang, Yu-Sheng Chiu, Zhi-Hung Chen, Hao-Ping Kang, Che-Rung Lee:
A Compression Algorithm for Fluctuant Data in Smart Grid Database Systems. DCC 2013: 485 - [c16]Zhi-Hung Chen, Che-Rung Lee:
Multi-GPU Acceleration for Smart Grid Data Compression. HPCC/EUC 2013: 1808-1813 - [c15]Che-Rung Lee, Ya-Fang Chang:
Enhancing Accuracy and Performance of Collaborative Filtering Algorithm by Stochastic SVD and Its MapReduce Implementation. IPDPS Workshops 2013: 1869-1878 - 2012
- [c14]Che-Rung Lee, Shih-Hsiang Lo, Nan-Hsi Chen, Yeh-Ching Chung, I-Hsin Chung:
GPU Performance Enhancement via Communication Cost Reduction: Case Studies of Radix Sort and WSN Relay Node Placement Problem. CCGRID 2012: 132-139 - [c13]Chi-Cheng Chuang, Yu-Sheng Chiu, Quey-Liang Kao, Zhi-Hung Chen, Che-Rung Lee:
Accelerating block checkerboard method on GPU for performance enhancement of 2D and 3D Quantum Monte Carlo simulations. CloudCom 2012: 717-722 - [c12]Quey-Liang Kao, Che-Rung Lee:
Design fast matrix algorithms on high-performance cloud platforms. CloudCom 2012: 771-776 - [c11]Yi-Man Ma, Che-Rung Lee, Yeh-Ching Chung:
InfiniBand virtualization on KVM. CloudCom 2012: 777-781 - [c10]I-Hsin Chung, Che-Rung Lee, Jiazheng Zhou, Chung-Yi Chou, Yeh-Ching Chung:
Scalable Communication-aware Task Mapping Algorithms for Interconnected Multicore Systems. IPDPS Workshops 2012: 187-192 - [c9]Che-Rung Lee, Zhi-Hung Chen, Quey-Liang Kao:
Parallelizing the Hamiltonian Computation in DQMC Simulations: Checkerboard Method for Sparse Matrix Exponentials on Multicore and GPU. IPDPS Workshops 2012: 1889-1897 - 2011
- [j2]I-Hsin Chung, Che-Rung Lee, Jiazheng Zhou, Yeh-Ching Chung:
Hierarchical Mapping for HPC Applications. Parallel Process. Lett. 21(3): 279-299 (2011) - [c8]Shih-Hsiang Lo, Che-Rung Lee, Yeh-Ching Chung, I-Hsin Chung:
A Parallel Rectangle Intersection Algorithm on GPU+CPU. CCGRID 2011: 43-52 - [c7]Po-Chi Shih, Kuo-Chan Huang, Che-Rung Lee, I-Hsin Chung, Yeh-Ching Chung:
A Performance Goal Oriented Processor Allocation Technique for Centralized Heterogeneous Multi-cluster Environments. CCGRID 2011: 614-615 - [c6]I-Hsin Chung, Che-Rung Lee, Jiazheng Zhou, Yeh-Ching Chung:
Scalable Communication-Aware Task Mapping Algorithms for Interconnected Multicore Systems. HPCC 2011: 759-764 - [c5]Chung-Han Chou, Nien-Yu Tsai, Hao Yu, Che-Rung Lee, Yiyu Shi, Shih-Chieh Chang:
On the preconditioner of conjugate gradient method - A power grid simulation perspective. ICCAD 2011: 494-497 - [c4]Che-Rung Lee, Zhaojun Bai:
Redesign of Higher-Level Matrix Algorithms for Multicore and Distributed Architectures and Applications in Quantum Monte Carlo Simulation. IPDPS 2011: 266-274 - [c3]I-Hsin Chung, Che-Rung Lee, Jiazheng Zhou, Yeh-Ching Chung:
Hierarchical Mapping for HPC Applications. IPDPS Workshops 2011: 1815-1823 - [e1]Parimala Thulasiraman, Laurence Tianruo Yang, Qiwen Pan, Xingang Liu, Yaw-Chung Chen, Yo-Ping Huang, Lin-Huang Chang, Che-Lun Hung, Che-Rung Lee, Justin Y. Shi, Ying Zhang:
13th IEEE International Conference on High Performance Computing & Communication, HPCC 2011, Banff, Alberta, Canada, September 2-4, 2011. IEEE 2011, ISBN 978-1-4577-1564-8 [contents] - 2010
- [c2]Che-Rung Lee, I-Hsin Chung, Zhaojun Bai:
Parallelization of DQMC simulation for strongly correlated electron systems. IPDPS 2010: 1-9
2000 – 2009
- 2008
- [j1]Che-Rung Lee, G. W. Stewart:
Algorithm 879: EIGENTEST - a test matrix generator for large-scale eigenproblems. ACM Trans. Math. Softw. 35(1): 7:1-7:11 (2008) - 2000
- [c1]Wei-Kuan Shih, Che-Rung Lee, Ching-Hui Tang:
A Fast Algorithm for Scheduling Imprecise Computations with Timing Constraints to Minimize Weighted Error. RTSS 2000: 305-310
Coauthor Index
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last updated on 2024-10-07 01:22 CEST by the dblp team
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