A Fast Algorithm for Scheduling Imprecise Computations with Timing Constraints to Minimize Weighted Error. - Wei-Kuan Shih; Che-Rung Lee; Ching-Hui Tang (RTSS, 2000)

Algorithm 879: EIGENTEST - a test matrix generator for large-scale eigenproblems. - Che-Rung Lee; G. W. Stewart (ACM Trans. Math. Softw., 2008)

Parallelization of DQMC simulation for strongly correlated electron systems. - Che-Rung Lee; I-Hsin Chung; Zhaojun Bai (IPDPS, 2010)

A Parallel Rectangle Intersection Algorithm on GPU+CPU. - Shih-Hsiang Lo; Che-Rung Lee; Yeh-Ching Chung; I-Hsin Chung (CCGRID, 2011)

A Performance Goal Oriented Processor Allocation Technique for Centralized Heterogeneous Multi-cluster Environments. - Po-Chi Shih; Kuo-Chan Huang; Che-Rung Lee; I-Hsin Chung; Yeh-Ching Chung (CCGRID, 2011)

Scalable Communication-Aware Task Mapping Algorithms for Interconnected Multicore Systems. - I-Hsin Chung; Che-Rung Lee; Jiazheng Zhou; Yeh-Ching Chung (HPCC, 2011)

On the preconditioner of conjugate gradient method - A power grid simulation perspective. - Chung-Han Chou; Nien-Yu Tsai; Hao Yu 001; Che-Rung Lee; Yiyu Shi 001; Shih-Chieh Chang (ICCAD, 2011)

Redesign of Higher-Level Matrix Algorithms for Multicore and Distributed Architectures and Applications in Quantum Monte Carlo Simulation. - Che-Rung Lee; Zhaojun Bai (IPDPS, 2011)

Hierarchical Mapping for HPC Applications. - I-Hsin Chung; Che-Rung Lee; Jiazheng Zhou; Yeh-Ching Chung (Parallel Process. Lett., 2011)

GPU Performance Enhancement via Communication Cost Reduction: Case Studies of Radix Sort and WSN Relay Node Placement Problem. - Che-Rung Lee; Shih-Hsiang Lo; Nan-Hsi Chen; Yeh-Ching Chung; I-Hsin Chung (CCGRID, 2012)

Accelerating block checkerboard method on GPU for performance enhancement of 2D and 3D Quantum Monte Carlo simulations. - Chi-Cheng Chuang; Yu-Sheng Chiu; Quey-Liang Kao; Zhi-Hung Chen; Che-Rung Lee (CloudCom, 2012)

Design fast matrix algorithms on high-performance cloud platforms. - Quey-Liang Kao; Che-Rung Lee (CloudCom, 2012)

InfiniBand virtualization on KVM. - Yi-Man Ma; Che-Rung Lee; Yeh-Ching Chung (CloudCom, 2012)

Scalable Communication-aware Task Mapping Algorithms for Interconnected Multicore Systems. - I-Hsin Chung; Che-Rung Lee; Jiazheng Zhou; Chung-Yi Chou; Yeh-Ching Chung (IPDPS Workshops, 2012)

Parallelizing the Hamiltonian Computation in DQMC Simulations: Checkerboard Method for Sparse Matrix Exponentials on Multicore and GPU. - Che-Rung Lee; Zhi-Hung Chen; Quey-Liang Kao (IPDPS Workshops, 2012)

A critical-section-level timing synchronization approach for deterministic multi-core instruction set simulations. - Fan-Wei Yu; Bo-Han Zeng; Yu-Hung Huang; Hsin-I Wu; Che-Rung Lee; Ren-Song Tsay (DATE, 2013)

A Compression Algorithm for Fluctuant Data in Smart Grid Database Systems. - Chi-Cheng Chuang; Yu-Sheng Chiu; Zhi-Hung Chen; Hao-Ping Kang; Che-Rung Lee (DCC, 2013)

Multi-GPU Acceleration for Smart Grid Data Compression. - Zhi-Hung Chen; Che-Rung Lee (HPCC/EUC, 2013)

Enhancing Accuracy and Performance of Collaborative Filtering Algorithm by Stochastic SVD and Its MapReduce Implementation. - Che-Rung Lee; Ya-Fang Chang (IPDPS Workshops, 2013)

Energy Efficient Geographic Routing Algorithms in Wireless Sensor Network. - Tseng-Yi Chen; Hsin-Wen Wei; Che-Rung Lee; Fu-Nan Huang; Tsan-sheng Hsu; Wei-Kuan Shih (J. Interconnect. Networks, 2013)

TLA: Temporal look-ahead processor allocation method for heterogeneous multi-cluster systems. - Po-Chi Shih; Kuo-Chan Huang; Che-Rung Lee; I-Hsin Chung; Yeh-Ching Chung (J. Parallel Distributed Comput., 2013)

Minimal Split Checkerboard Method for Exponentiating Sparse Matrices and Its Applications in Quantum Statistical Mechanics. - Che-Rung Lee (SIAM J. Sci. Comput., 2013)

Optimizing Pairwise Box Intersection Checking on GPUs for Large-Scale Simulations. - Shih-Hsiang Lo; Che-Rung Lee; I-Hsin Chung; Yeh-Ching Chung (ACM Trans. Model. Comput. Simul., 2013)

Taiwan UniCloud: A Cloud Testbed with Collaborative Cloud Services. - Wu-Chun Chung; Po-Chi Shih; Kuan-Chou Lai; Kuan-Ching Li; Che-Rung Lee; Jerry Chou 001; Ching-Hsien Hsu; Yeh-Ching Chung (IC2E, 2014)

Achieving cost effective cloud video services via fine grained multicore scheduling. - Hao-Che Kao; Hao-Ping Kang; Che-Rung Lee; Kun-Hsien Lu; Shu-Hsin Chang (ICPADS, 2014)

Performance Modeling for Hardware Thread-Level Speculation. - Ying-Chieh Wang; Che-Rung Lee; Yeh-Ching Chung; I-Hsin Chung; Michael Perrone (IPDPS Workshops, 2014)

Preliminary performance evaluations of the determinant quantum Monte Carlo simulations for multi-core CPU and many-core GPU. - Quey-Liang Kao; Che-Rung Lee (Int. J. Comput. Sci. Eng., 2014)

Improving GPU Memory Performancewith Artificial Barrier Synchronization. - Shih-Hsiang Lo; Che-Rung Lee; Quey-Liang Kao; I-Hsin Chung; Yeh-Ching Chung (IEEE Trans. Parallel Distributed Syst., 2014)

Improving Performance of Convolutional Neural Networks by Separable Filters on GPU. - Hao-Ping Kang; Che-Rung Lee (Euro-Par, 2015)

Hardware Thread-Level Speculation Performance Analysis. - Ying-Chieh Wang; I-Hsin Chung; Che-Rung Lee; Michael Perrone; Yeh-Ching Chung (HPCC/CSS/ICESS, 2015)

G-KVM: A Full GPU Virtualization on KVM. - Hong-Cyuan Hsu; Che-Rung Lee (CIT, 2016)

Accelerating HEVC Motion Estimation Using GPU. - Hao-Che Kao; I-Ching Wang; Che-Rung Lee; Chi-Wen Lo; Hao-Ping Kang (BigMM, 2016)

G-Storm: A GPU-Aware Storm Scheduler. - Yi-Ren Chen; Che-Rung Lee (DASC/PiCom/DataCom/CyberSciTech, 2016)

Performance Optimization of the SSVD Collaborative Filtering Algorithm on MapReduce Architectures. - ShiouCheng Yu; Quey-Liang Kao; Che-Rung Lee (DASC/PiCom/DataCom/CyberSciTech, 2016)

A Mobile Cloud Framework for Deep Learning and Its Application to Smart Car Camera. - Chien-Hung Chen; Che-Rung Lee; Walter Chen-Hua Lu (IOV, 2016)

Optimizing back-and-forth live migration. - Kuan-Hsin Lee; I-Cheng Lai; Che-Rung Lee (UCC, 2016)

Enhancing the Availability of Docker Swarm Using Checkpoint-and-Restore. - Cheng-Hao Huang; Che-Rung Lee (ISPAN-FCST-ISCC, 2017)

Smart in-car camera system using mobile cloud computing framework for deep learning. - Chien-Hung Chen; Che-Rung Lee; Walter Chen-Hua Lu (Veh. Commun., 2017)

Knowledge Distillation with Feature Maps for Image Classification. - Wei-Chun Chen; Chia-Che Chang; Che-Rung Lee (ACCV (3), 2018)

Energy Efficient Scheduling for Heterogeneous Fog Computing Architectures. - Hsiang-Yi Wu; Che-Rung Lee (COMPSAC (1), 2018)

Escaping from Collapsing Modes in a Constrained Space. - Chia-Che Chang; Chieh Hubert Lin; Che-Rung Lee; Da-Cheng Juan; Wei Wei 019; Hwann-Tzong Chen (ECCV (7), 2018)

Kernel Assisted Container Virtualization and Its Application for Containerized CUDA Environment. - Quey-Liang Kao; Chieh-Yu Yu; Che-Rung Lee (HPCC/SmartCity/DSS, 2018)

Knowledge Distillation with Feature Maps for Image Classification. - Wei-Chun Chen; Chia-Che Chang; Chien-Yu Lu; Che-Rung Lee (CoRR, 2018)

Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer. - Chien-Yu Lu; Min-Xin Xue; Chia-Che Chang; Che-Rung Lee; Li Su 004 (AAAI, 2019)

Performance Optimization of SpMV on Spark. - Kun Xie; Che-Rung Lee; Feng-Yuan Liu (IEEE BigData, 2019)

qCUDA: GPGPU Virtualization for High Bandwidth Efficiency. - Yu-Shiang Lin; Chun-Yuan Lin; Che-Rung Lee; Yeh-Ching Chung (CloudCom, 2019)

Performance Optimization for InfiniBand Virtualization on QEMU/KVM. - Ming-ting Wei; Yu-Shiang Lin; Che-Rung Lee (CloudCom, 2019)

qCUDA-ARM: Virtualization for Embedded GPU Architectures. - Bo-Yu Huang; Che-Rung Lee (IOV, 2019)

Experiences with implementing parallel discrete-event simulation on GPU. - Janche Sang; Che-Rung Lee; Vernon Rego; Chung-Ta King (J. Supercomput., 2019)

Towards Fast and Robust Adversarial Training for Image Classification. - Erh-Chung Chen; Che-Rung Lee (ACCV (3), 2020)

Vector Field Model for Trajectory Data and Its Application in Similarity Query. - Yiling Jia; Che-Rung Lee (HPCC/DSS/SmartCity, 2020)

Efficient Group Fault Tolerance for Multi-tier Services in Cloud Environments. - Chieh-Yu Yu; Che-Rung Lee; Po-Jui Tsao; Yu-Shiang Lin; Tzi-Cker Chiueh (ICC, 2020)

Timbre-enhanced Multi-modal Music Style Transfer with Domain Balance Loss. - Tsai-Jyun Fan; Chien-Yu Lu; Wei-Chen Chiu; Li Su 004; Che-Rung Lee (TAAI, 2020)

Common Sub-Trajectory Clustering via Hypercubes in Spatiotemporal Space. - Oscar Lijen Hsu; Che-Rung Lee (IEEE Access, 2020)

Automatic Selection of Tensor Decomposition for Compressing Convolutional Neural Networks A Case Study on VGG-type Networks. - Chia-Chun Liang; Che-Rung Lee (IPDPS Workshops, 2021)

ADD: A Fine-grained Dynamic Inference Architecture for Semantic Image Segmentation. - Chi-Hsi Kung; Che-Rung Lee (IROS, 2021)

FOCM: Faster Octave Convolution Using Mix-scaling. - Kuan-Hsian Hsieh; Erh-Chung Chen; Che-Rung Lee (TAAI, 2021)

Memory hot-zone and its application to accelerate the convergence of KSM for VM consolidation. - Chun-Yuan Huang; Der-Yu Tsai; Che-Rung Lee (UCC Companion, 2021)

LTD: Low Temperature Distillation for Robust Adversarial Training. - Erh-Chung Chen; Che-Rung Lee (CoRR, 2021)

Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization. - Bo-Shiuan Chu; Che-Rung Lee (CoRR, 2021)

CSM-DBEN: Container Storage Manager for Data Backup on Edge Nodes. - Wei-Cheng Hung; Che-Rung Lee (CloudCom, 2022)

FLOMD: Fast and Low Overhead Memory Deduplication for Edge Nodes. - Guann-Ling Shen; Che-Rung Lee (CloudCom, 2022)

FVMM: Fast VM Migration for Virtualization-based Fault Tolerance Using Templates. - Wen-Hsiu Tsai; Po-Jui Tsao; Che-Rung Lee (CloudCom, 2022)

17th IEEE International Workshop on Automatic Performance Tuning (iWAPT2022). - Che-Rung Lee; Satoshi Ohshima (IPDPS Workshops, 2022)

CoMABO: Covariance Matrix Adaptation for Bayesian Optimization. - Hsiang-Yu Ku; Che-Rung Lee (IEEE Big Data, 2023)

GSLAC: GPU Software Level Access Control for Information Isolation on Cloud Platforms. - Chia-Chang Li; Po-Cheng Wu; Che-Rung Lee (CloudCom, 2023)

EFFCA: Enhanced Frangi Filter for Coronary Angiography Segmentation on Mobile Edge Devices. - Yu-Shuo Wang; Hao-Yun Chen; Chih-Kuo Lee; Che-Rung Lee (HealthCom, 2023)

Multi-Sweep-Line Algorithm for Rectangle Union on GPU and Its Application for VLSI Density Calculation. - Chang-Hung Wu; Che-Rung Lee (HPEC, 2023)

Voda: A GPU Scheduling Platform for Elastic Deep Learning in Kubernetes Clusters. - Tsung-Tso Hsieh; Che-Rung Lee (IC2E, 2023)

MontageNet: Annotated Dataset of Furniture Components in Real-World Images. - Iuan Kai Fang; Bo-Hao Zhang; Te Lun Liu; Hao Tan; Wei Syun Chen; Che-Rung Lee (MMAsia, 2023)

Latency Attack Resilience in Object Detectors: Insights from Computing Architecture. - Erh-Chung Chen; Pin-Yu Chen; I-Hsin Chung; Che-Rung Lee (ACCV (8), 2024)

Training Sequential CAG Segmentation Models Without Labeled CAG Video Data. - Ting-Chia Yao; Kai-Wen Lin; Chih-Kuo Lee; Po-Hsuan Tseng; Che-Rung Lee (COMPSAC, 2024)

Overload: Latency Attacks on Object Detection for Edge Devices. - Erh-Chung Chen; Pin-Yu Chen; I-Hsin Chung; Che-Rung Lee (CVPR, 2024)

Visualizing Machine Intelligence as Art Installations for Popular Science by Crafting Convolutional Neural Networks. - Chen-Hua Lu; Su-Chu Hsu; Che-Rung Lee (ICCE-Taiwan, 2024)

LPSD: Low-Rank Plus Sparse Decomposition for Highly Compressed CNN Models. - Kuei-Hsiang Huang; Cheng-Yu Sie; Jhong-En Lin; Che-Rung Lee (PAKDD (1), 2024)

RPH-PGD: Randomly Projected Hessian for Perturbed Gradient Descent. - Chi-Chang Li; Jay Huang; Wing-Kai Hon; Che-Rung Lee (PAKDD (2), 2024)

Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks. - Erh-Chung Chen; Pin-Yu Chen; I-Hsin Chung; Che-Rung Lee (CoRR, 2024)

Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness. - Erh-Chung Chen; Pin-Yu Chen; I-Hsin Chung; Che-Rung Lee (CoRR, 2024)

Data filtering for efficient adversarial training. - Erh-Chung Chen; Che-Rung Lee (Pattern Recognit., 2024)

ITTPD: In-place Tensor Transposition with Permutation Decomposition on GPUs. - Kai-Jung Cheng; Che-Rung Lee (HPC Asia, 2025)

EITHOT: Efficient In-place Transposition of High Order Tensors on GPUs. - Chun-Yu Wu; Chih-Chieh Tu; Kai-Jung Cheng; Che-Rung Lee (ACM Trans. Parallel Comput., 2025)