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2020 – today
- 2025
[j41]Cheng Peng, Liang Luo, Zhaohui Tang, Weihua Gui:
Flotation Condition Recognition of Zinc Based on Weighted Naive Bayes Considering Multiple Relationship. IEEE Trans. Instrum. Meas. 74: 1-10 (2025)- 2024
- [j40]Liang Luo, Xinyi Wang, Hongjun Xie, Hua Liang, Jungang Gao, Yang Li, Yuwei Xia
, Mengmeng Zhao, Feng Shi, Cong Shen, Xiaoyi Duan:
Role of [18F]-PSMA-1007 PET radiomics for seminal vesicle invasion prediction in primary prostate cancer. Comput. Biol. Medicine 183: 109249 (2024) - [j39]Zhenhua Quan, Liang Luo, Bin Wu:
A multidimensional fusion image stereo matching algorithm. IET Image Process. 18(7): 1903-1914 (2024) - [j38]Yuqing Xiao, Liang Luo, Boxiang Yu, Shengchen Ji:
Visual Ship Image Synthesis and Classification Framework Based on Attention-DCGAN. Int. J. Comput. Intell. Syst. 17(1): 143 (2024) - [j37]Liang Luo, George K. Stylios:
Algorithmic Information Theory for the Precise Engineering of Flexible Material Mechanics. Mach. Learn. Knowl. Extr. 6(1): 215-232 (2024) - [j36]Liang Luo, George K. Stylios:
A Novel Multidimensional Tensile, Shear, and Buckling Sensor for the Measurement of Flexible Fibrous Materials. Sensors 24(2): 406 (2024) - [j35]Zhenhua Quan, Shilin Xu, Xiaobo Liao, Bin Wu, Liang Luo:
Research on an SICM Scanning Image Resolution Enhancement Algorithm. Sensors 24(11): 3291 (2024) - [j34]Yangzheng Zhou, Liang Luo, Pengzhong Li:
An Accurate Prediction Method of Human Assembly Motion for Human-Robot Collaboration. Symmetry 16(1): 118 (2024) - [j33]Yu Gu, Yibing Weng, Yantong Wang, Meng Wang, Guohang Zhuang, Jinyang Huang, Xiaolan Peng, Liang Luo, Fuji Ren:
EmoTake: Exploring Drivers' Emotion for Takeover Behavior Prediction. IEEE Trans. Affect. Comput. 15(4): 2112-2127 (2024) - [j32]Cheng Peng, Yikun Liu, Yuyao Ouyang, Zhaohui Tang, Liang Luo, Weihua Gui:
Grade Prediction of Froth Flotation Based on Multistep Fusion Transformer Model. IEEE Trans. Ind. Informatics 20(4): 6030-6040 (2024) - [c44]Zhongzhu Yang, Liang Luo, Yu Gu, Fuji Ren:
K-Face Net: A Two-Stage Framework for Balanced Feature Space in Facial Expression Recognition. ICME 2024: 1-6 - [c43]Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Shen Li, Yanli Zhao, Yuchen Hao, Yantao Yao, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen:
Wukong: Towards a Scaling Law for Large-Scale Recommendation. ICML 2024 - [c42]Ding Wang, Yu Gu, Liang Luo, Fuji Ren:
Occlusion-Aware Visual-Language Model for Occluded Facial Expression Recognition. IJCNN 2024: 1-8 - [c41]Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov:
Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large Scale Recommendation. MLSys 2024 - [i16]Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov:
Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation. CoRR abs/2403.00877 (2024) - [i15]Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Daifeng Guo, Yanli Zhao, Shen Li, Yuchen Hao, Yantao Yao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen:
Wukong: Towards a Scaling Law for Large-Scale Recommendation. CoRR abs/2403.02545 (2024) - [i14]Xi Victoria Lin, Akshat Shrivastava, Liang Luo, Srinivasan Iyer, Mike Lewis, Gargi Ghosh, Luke Zettlemoyer, Armen Aghajanyan:
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts. CoRR abs/2407.21770 (2024) - [i13]Weixin Liang, Lili Yu, Liang Luo, Srinivasan Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin:
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models. CoRR abs/2411.04996 (2024) - 2023
- [j31]Liang Luo:
Analyzing accessibility of car campgrounds through road network structure software in Beijing. Comput. Electr. Eng. 109(Part A): 108716 (2023) - [j30]Rongbo Lu, Liang Luo, Bolin Liao:
Voting based double-weighted deterministic extreme learning machine model and its application. Frontiers Neurorobotics 17 (2023) - [j29]Bingbing Zhao, Xiaoyong Tan, Liang Luo, Min Deng, Xuexi Yang:
Identifying the Production-Living-Ecological Functional Structure of Haikou City by Integrating Empirical Knowledge with Multi-Source Data. ISPRS Int. J. Geo Inf. 12(7): 276 (2023) - [j28]Wentao Yang, Min Deng, Jianbo Tang, Liang Luo:
Geographically weighted regression with the integration of machine learning for spatial prediction. J. Geogr. Syst. 25(2): 213-236 (2023) - [j27]Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Pritam Damania, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Ajit Mathews, Shen Li:
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. Proc. VLDB Endow. 16(12): 3848-3860 (2023) - [j26]Rongbo Lu, Ju-Xiu Zhong, Yuanquan Shi, Bolin Liao, Liang Luo, Lu Lan:
A dynamic quantum group blind signature scheme based on four-particle cluster state. Quantum Inf. Process. 22(3): 157 (2023) - [j25]Zhenhua Quan, Bin Wu, Liang Luo:
An Image Stereo Matching Algorithm with Multi-Spectral Attention Mechanism. Sensors 23(19): 8179 (2023) - [j24]Liang Luo:
Revolutionizing interpretation education: a comprehensive automatic interpretation evaluation system based on composite genetic algorithm and backpropagation neural networks. Soft Comput. 27(24): 19281-19298 (2023) - [j23]Hongjing Huang, Yingtao Li, Jie Sun, Xueying Zhu, Jie Zhang, Liang Luo, Jialin Li, Zeke Wang:
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs. IEEE Trans. Parallel Distributed Syst. 34(8): 2311-2324 (2023) - [c40]Quan Feng, Liang Luo, Xiaoqian Zhang, Yufeng Chen:
CTW-Net: A Deeper Multiscale Feature Fusion W-Shaped Network for Medical Image Segmentation. CCIS 2023: 138-142 - [c39]Zheng Hu, Satoshi Nakagawa, Liang Luo, Yu Gu, Fuji Ren:
Celebrity-aware Graph Contrastive Learning Framework for Social Recommendation. CIKM 2023: 793-802 - [c38]Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu:
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. MLSys 2023 - [c37]Quankun Luo, Jiawen Deng, Liang Luo:
Optimizing Media Streaming in Edge-Cloud Systems: Leveraging Geography and User Behavior. QRS Companion 2023: 877-878 - [i12]Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Shen Li:
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. CoRR abs/2304.11277 (2023) - [i11]Jiutian Zhao, Liang Luo, Hao Wang:
Self-discipline on multiple channels. CoRR abs/2304.14224 (2023) - [i10]Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu:
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. CoRR abs/2305.01868 (2023) - [i9]Hongjing Huang, Yingtao Li, Jie Sun, Xueying Zhu, Jie Zhang, Liang Luo, Jialin Li, Zeke Wang:
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs. CoRR abs/2305.05885 (2023) - 2022
- [j22]Liang Luo, Qin Liang, Xiaoqian Zhang, Xuqian Xue, Zhigui Liu:
Joint learning affinity matrix and representation matrix for robust low-rank multi-kernel clustering. Appl. Intell. 52(12): 13987-14004 (2022) - [j21]Huimin Yan, Wenpeng Du, Ying Zhou, Liang Luo, Zhong'en Niu:
Satellite-Based Evidences to Improve Cropland Productivity on the High-Standard Farmland Project Regions in Henan Province, China. Remote. Sens. 14(7): 1724 (2022) - [j20]Pengfei Liu, Donghong Ning, Liang Luo, Nong Zhang, Haiping Du:
An Electromagnetic Variable Inertance and Damping Seat Suspension With Controllable Circuits. IEEE Trans. Ind. Electron. 69(3): 2811-2821 (2022) - [j19]Sa Meng, Liang Luo, Xiwei Qiu, Yuanshun Dai:
Service-Oriented Reliability Modeling and Autonomous Optimization of Reliability for Public Cloud Computing Systems. IEEE Trans. Reliab. 71(2): 527-538 (2022) - [c36]Tao Zhou, Yuanxin He, Liang Luo, Shengchen Ji:
Research on Soil Moisture Prediction Based on LSTM-Transformer Model. BIC-TA 2022: 329-342 - [c35]Yanbing Zhang, Hao Wang, Liang Luo:
Diffusion Optimization Algorithm Based on Membrane Calculation. BIC-TA 2022: 628-646 - [c34]Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao:
Software-hardware co-design for fast and scalable training of deep learning recommendation models. ISCA 2022: 993-1011 - [c33]Liang Luo, Peter West, Pratyush Patel, Arvind Krishnamurthy, Luis Ceze:
SRIFTY: Swift and Thrifty Distributed Neural Network Training on the Cloud. MLSys 2022 - [c32]Jingrong Chen, Hong Zhang, Wei Zhang, Liang Luo, Jeffrey S. Chase, Ion Stoica, Danyang Zhuo:
NetHint: White-Box Networking for Multi-Tenant Data Centers. NSDI 2022: 1327-1343 - [i8]Buyun Zhang, Liang Luo, Xi Liu, Jay Li, Zeliang Chen, Weilin Zhang, Xiaohan Wei, Yuchen Hao, Michael Tsang, Wenjun Wang, Yang Liu, Huayu Li, Yasmine Badr, Jongsoo Park, Jiyan Yang, Dheevatsa Mudigere, Ellie Wen:
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction. CoRR abs/2203.11014 (2022) - 2021
- [c31]Eddie Q. Yan, Liang Luo, Luis Ceze:
Characterizing and Taming Resolution in Convolutional Neural Networks. IISWC 2021: 189-200 - [i7]Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao:
High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. CoRR abs/2104.05158 (2021) - [i6]Chien-Yu Lin, Liang Luo, Luis Ceze:
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks. CoRR abs/2104.10716 (2021) - [i5]Liang Luo, Jacob Nelson, Arvind Krishnamurthy, Luis Ceze:
Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering. CoRR abs/2105.14088 (2021) - [i4]Eddie Q. Yan, Liang Luo, Luis Ceze:
Characterizing and Taming Resolution in Convolutional Neural Networks. CoRR abs/2110.14819 (2021) - 2020
- [b1]Liang Luo:
Towards More Efficient Communication for Distributed Learning Systems. University of Washington, USA, 2020 - [j18]Sa Meng, Yuanshun Dai, Liang Luo, Jie Luo:
An Associative Optimizing Method on Reliability and Cost in Clouds. IEEE Access 8: 82972-82980 (2020) - [j17]Hao Wang, Shunhuai Chen, Liang Luo:
A diffusion algorithm based on P systems for continuous global optimization. J. Comput. Sci. 44: 101112 (2020) - [j16]Pengzhong Li, Ruihan Zhao, Liang Luo:
A Geometric Accuracy Error Analysis Method for Turn-Milling Combined NC Machine Tool. Symmetry 12(10): 1622 (2020) - [c30]Qin Liang, Xiaoqian Zhang, Liang Luo:
Robust Multiple Kernel Subspace Clustering Based on Low Rank Consensus Kernel Learning. EITCE 2020: 621-626 - [c29]Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze, Jacob Nelson:
PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud. MLSys 2020 - [c28]Sa Meng, Liang Luo, Peng Sun, Yuan Gao:
Reliability Service Assurance in Public Clouds based on Blockchain. QRS Companion 2020: 688-689 - [c27]Peng Sun, Liang Luo, Shangxin Liu, Weifeng Wu:
Adaptive Rule Engine for Anomaly Detection in 5G Mobile Edge Computing. QRS Companion 2020: 690-691 - [i3]Liang Luo, Peter West, Arvind Krishnamurthy, Luis Ceze:
Srift: Swift and Thrift Cloud-Based Distributed Training. CoRR abs/2011.14243 (2020)
2010 – 2019
- 2019
- [j15]Liang Luo, Zhi-Qin Zhao, Xiaoping Li, Xiang-Chu Feng:
A stochastic image denoising method based on adaptive patch-size. Multidimens. Syst. Signal Process. 30(2): 705-725 (2019) - [j14]Gregory Levitin, Liudong Xing, Liang Luo:
Joint optimal checkpointing and rejuvenation policy for real-time computing tasks. Reliab. Eng. Syst. Saf. 182: 63-72 (2019) - [j13]Gregory Levitin, Liudong Xing, Liang Luo:
Influence of failure propagation on mission abort policy in heterogeneous warm standby systems. Reliab. Eng. Syst. Saf. 183: 29-38 (2019) - [j12]Liang Luo, Liudong Xing, Gregory Levitin:
Optimizing dynamic survivability and security of replicated data in cloud systems under co-residence attacks. Reliab. Eng. Syst. Saf. 192: 106265 (2019) - [j11]Liang Luo, Sa Meng, Xiwei Qiu, Yuanshun Dai:
Improving Failure Tolerance in Large-Scale Cloud Computing Systems. IEEE Trans. Reliab. 68(2): 620-632 (2019) - [c26]Sa Meng, Yuanshun Dai, Liang Luo, Chang Liu:
Reliability Modeling and Optimization for Large-Scale Network Systems. QRS Companion 2019: 528-529 - [c25]Lingyan Lv, Chao Gao, Jianjun Chen, Liang Luo, Zili Zhang:
Physarum-Based Ant Colony Optimization for Graph Coloring Problem. ICSI (1) 2019: 210-219 - [c24]Han Xu, Liang Luo, Xiwei Qiu, Yanping Xiang:
A Performance Modeling Approach for Mobile Cloud System. WCNC 2019: 1-6 - 2018
- [j10]Han Xu, Xiwei Qiu, Yongpan Sheng, Liang Luo, Yanping Xiang:
A Qos-Driven Approach to the Cloud Service Addressing Attributes of Security. IEEE Access 6: 34477-34487 (2018) - [j9]Xianyi Chen, Sun'an Wang, Binquan Zhang, Liang Luo:
Multi-feature fusion tree trunk detection and orchard mobile robot localization using camera/ultrasonic sensors. Comput. Electron. Agric. 147: 91-108 (2018) - [c23]Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy:
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training. SoCC 2018: 41-54 - [c22]Liang Luo, Zhi-Qin Zhao, Xiao-Pin Li:
A Novel Surveillance Video Processing Using Stochastic Low-Rank And Generalized Low-Rank Approximation Techniques. ICMLC 2018: 91-98 - [c21]Yi Mu, Nianhao Xiao, Ruichun Tang, Liang Luo, Xiaohan Yin:
An Efficient Similarity Measure for Collaborative Filtering. IIKI 2018: 416-421 - [c20]Xiaochuan Tang, Yuanshun Dai, Yanping Xiang, Liang Luo:
An Interaction-Enhanced Feature Selection Algorithm. PAKDD (3) 2018: 115-125 - [c19]Peng Sun, Xiaochuang Tang, Liang Luo:
An Unsupervised Parameter Grouping Algorithm for Combinatorial Testing. QRS Companion 2018: 377-381 - [c18]Liang Luo, Suman Nath, Lenin Ravindranath Sivalingam, Madan Musuvathi, Luis Ceze:
Troubleshooting Transiently-Recurring Errors in Production Systems with Blame-Proportional Logging. USENIX ATC 2018: 321-334 - [i2]Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy:
Parameter Hub: High Performance Parameter Servers for Efficient Distributed Deep Neural Network Training. CoRR abs/1801.09805 (2018) - [i1]Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy:
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training. CoRR abs/1805.07891 (2018) - 2017
- [c17]Ming Liu, Liang Luo, Jacob Nelson, Luis Ceze, Arvind Krishnamurthy, Kishore Atreya:
IncBricks: Toward In-Network Computation with an In-Network Cache. ASPLOS 2017: 795-809 - [c16]Hao Wang, Shunhuai Chen, Liang Luo:
An Elitist Non-dominated Sorting Hybrid Evolutionary Algorithm for Multi-objective Constrained Ship Arrangements Optimization Problem. BIC-TA 2017: 52-67 - [c15]Liang Luo, Li Tao, Hongyi Xu, Zhenyun Yuan, Hong Lai, Zili Zhang:
An Information Theory Based Approach for Identifying Influential Spreaders in Temporal Networks. CSS 2017: 477-484 - 2016
- [j8]Xiaoping Li, Weiwei Wang, Xiangchu Feng, Xiaoyan Liu, Liang Luo:
Image denoising via bidirectional low rank representation with cluster adaptive dictionary. IET Image Process. 10(12): 952-961 (2016) - [j7]Zhidong Zhang, Liang Luo, Chenyang Xue, Wendong Zhang, Shubin Yan:
Fano Resonance Based on Metal-Insulator-Metal Waveguide-Coupled Double Rectangular Cavities for Plasmonic Nanosensors. Sensors 16(5): 642 (2016) - [c14]Liang Luo, Akshitha Sriraman, Brooke Fugate, Shiliang Hu, Gilles Pokam, Chris J. Newburn, Joseph Devietti:
LASER: Light, Accurate Sharing dEtection and Repair. HPCA 2016: 261-273 - [c13]Xiwei Qiu, Liang Luo, Yuan-Shun Dai:
Reliability-Performance-Energy Joint Modeling and Optimization for a Big Data Task. QRS Companion 2016: 334-338 - [c12]Peng Sun, Demiao Wu, Xiwei Qiu, Liang Luo, Hongwei Li:
Performance Analysis of Cloud Service Considering Reliability. QRS Companion 2016: 339-343 - [c11]Liang Luo, Hongwei Li, Xiwei Qiu, Yangyang Tang:
A Resource Optimization Algorithm of Cloud Data Center Based on Correlated Model of Reliability, Performance and Energy. QRS Companion 2016: 416-417 - 2015
- [j6]Shubin Yan, Minghui Li, Liang Luo, Kezhen Ma, Chenyang Xue, Wendong Zhang:
Optimisation Design of Coupling Region Based on SOI Micro-Ring Resonator. Micromachines 6(1): 151-159 (2015) - [j5]Shubin Yan, Liang Luo, Chenyang Xue, Zhidong Zhang:
A Refractive Index Sensor Based on a Metal-Insulator-Metal Waveguide-Coupled Ring Resonator. Sensors 15(11): 29183-29191 (2015) - [j4]Xiangchu Feng, Liang Luo, Xixi Jia, Weiwei Wang:
A divide-and-conquer stochastic alterable direction image denoising method. Signal Process. 108: 90-101 (2015) - [c10]Liang Luo, Yudong Liu, James Hearne, Clinton Burkhart:
Unsupervised Sumerian Personal Name Recognition. FLAIRS 2015: 193-198 - [c9]Zhenhua Quan, Zhigui Liu, Liang Luo, Gen Hu:
Detection performance and robustness of segmented replica correlator processors in fast fading distortion channels. FSKD 2015: 2106-2111 - [c8]Jing-Mian Tang, Liang Luo, Kai-Ming Wei, Xun Guo, Xiao-yu Ji:
A Heuristic Resource Scheduling Algorithm of Cloud Computing Based on Polygons Correlation Calculation. ICEBE 2015: 365-370 - [c7]Yudong Liu, Clinton Burkhart, James Hearne, Liang Luo:
Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition. HLT-NAACL 2015: 1446-1451 - 2014
- [j3]Yinhe Wang, Liang Luo, Yongqing Fan, Yun Zhang, Xiaoping Liu, Si-Ying Zhang:
Adaptive control design for a class of nonlinear systems based on fuzzy logic systems with scalers and saturators. Int. J. Syst. Sci. 45(3): 202-214 (2014) - 2013
- [j2]Liang Luo, Wenjun Wu, Wei-Tek Tsai, Dichen Di, Fei Zhang:
Simulation of power consumption of cloud data centers. Simul. Model. Pract. Theory 39: 152-171 (2013) - [c6]Fei Zhang, Yizhou Yan, Wenjun Wu, Liang Luo:
A Heuristics Approach for Reducing Power Consumption of Cloud Data Center. GreenCom/iThings/CPScom 2013: 246-253 - 2012
- [c5]Liang Luo, Wenjun Wu, Dichen Di, Fei Zhang, Yizhou Yan, Yaokuan Mao:
A resource scheduling algorithm of cloud computing based on energy efficient optimization methods. IGCC 2012: 1-6 - [c4]Yaokuan Mao, Wenjun Wu, Hui Zhang, Liang Luo:
GreenPipe: A Hadoop Based Workflow System on Energy-efficient Clouds. IPDPS Workshops 2012: 2211-2219 - 2010
- [j1]Dongming Zhao, Liang Luo, Kai Zhang:
An improved ant colony optimization for the communication network routing problem. Math. Comput. Model. 52(11-12): 1976-1981 (2010)
2000 – 2009
- 2006
- [c3]Caihong Meng, Yongchun Yang, Liang Luo, Ping Yang, Guozhu Li:
Remote Sensing Image Based Study on the Spatial Evolvement and Mechanism of Urban Residential District in China Since 1949: A Case Study of the Valley-basin City, Lanzhou. IGARSS 2006: 1462-1465 - [c2]Shuwen Niu, Guozhu Li, Zhengguang Liu, Liang Luo, Caihong Meng:
Study on Population Distribution Characteristics and Pattern Based on RS and GIS in Mountainous Region: A Case Study of Tianshui District, China. IGARSS 2006: 2130-2132 - 2004
- [c1]Sushil Bhakar, Liang Luo, Sudhir P. Mudur:
View Dependent Stochastic Sampling for Efficient Rendering of Point Sampled Surfaces. WSCG 2004: 49-56
Coauthor Index
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