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ORCIDLing Liu 0001
Person information
- affiliation: Georgia Institute of Technology, Atlanta, USA
- affiliation (former): Oregon Graduate Institute of Science & Technology, Portland, OR, USA
- affiliation (former): University of Alberta, Department of Computing Science, Edmonton, AB, Canada
Other persons with the same name
- Ling Liu — disambiguation page
- Ling Liu 0002 — Aachen University of Technology, Germany
- Ling Liu 0003
![[0000-0002-2309-6768]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2309-6768")
— Imperial College London, Department of Electrical and Electronic Engineering, UK - Ling Liu 0004 — Xi'an Jiaotong University, School of Electrical Engineering, State Key Laboratory of Electrical Insulation and Power Equipment, China
- Ling Liu 0005 — Stony Brook University, Marine and Atmospheric Science Department, NY, USA
- Ling Liu 0006 — Chinese Academy of Sciences, Beijing Key Laboratory of Mobile Computing and Pervasive Device / Institute of Computing Technology, China
- Ling Liu 0007 — Queen Mary University of London, UK
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2020 – today
- 2022
[j158]Ting Li, Yiming Zhang, Hao Liu, Guangtao Xue, Ling Liu:
Fast Compressive Spectral Clustering for Large-Scale Sparse Graph. IEEE Trans. Big Data 8(1): 193-202 (2022)- 2021
- [j157]Sangwon Lee, Ling Liu, Wonik Choi:
Iterative Translation-Based Data Augmentation Method for Text Classification Tasks. IEEE Access 9: 160437-160445 (2021) - [j156]Gaoyang Liu, Rui Zhang, Yang Yang, Chen Wang, Ling Liu:
GPS spoofed or not? Exploiting RSSI and TSS in crowdsourced air traffic control data. Distributed Parallel Databases 39(1): 231-257 (2021) - [j155]Wenqi Wei, Ling Liu:
Robust Deep Learning Ensemble Against Deception. IEEE Trans. Dependable Secur. Comput. 18(4): 1513-1527 (2021) - [j154]Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu:
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. 18(5): 2365-2378 (2021) - [j153]Wenqi Wei, Qi Zhang, Ling Liu:
Bitcoin Transaction Forecasting With Deep Network Representation Learning. IEEE Trans. Emerg. Top. Comput. 9(3): 1359-1371 (2021) - [j152]Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu:
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 16: 3412-3425 (2021) - [j151]Xuxin Zhang, Jian Chen, Rui Zhang, Chen Wang, Ling Liu:
Attacking Recommender Systems With Plausible Profile. IEEE Trans. Inf. Forensics Secur. 16: 4788-4800 (2021) - [j150]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei:
Demystifying Membership Inference Attacks in Machine Learning as a Service. IEEE Trans. Serv. Comput. 14(6): 2073-2089 (2021) - [c291]Xiao-ke Zhu, Qi Zhang, Taining Cheng, Ling Liu, Wei Zhou, Jing He:
DLB: Deep Learning Based Load Balancing. CLOUD 2021: 648-653 - [c290]Hanwen Zhang, Wei Zhou, Junhao Wen, Ling Liu, Jun Zeng, Min Gao:
Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System. SCC 2021: 71-78 - [c289]Juhyun Bae, Ling Liu, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar:
Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds. IEEE BigData 2021: 76-85 - [c288]Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei:
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. CVPR 2021: 16469-16477 - [c287]Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
Gradient-Leakage Resilient Federated Learning. ICDCS 2021: 797-807 - [c286]Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu:
SRA: Smart Recovery Advisor for Cyber Attacks. SIGMOD Conference 2021: 2691-2695 - [i32]Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
RDMAbox : Optimizing RDMA for Memory Intensive Workloads. CoRR abs/2104.12197 (2021) - [i31]Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu:
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks. CoRR abs/2105.03592 (2021) - [i30]Rui Zhang, Rui Xue, Ling Liu:
Security and Privacy for Healthcare Blockchains. CoRR abs/2106.06136 (2021) - [i29]Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
Gradient-Leakage Resilient Federated Learning. CoRR abs/2107.01154 (2021) - [i28]Yanzhao Wu, Ling Liu, Ramana Kompella:
Parallel Detection for Efficient Video Analytics at the Edge. CoRR abs/2107.12563 (2021) - [i27]Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan:
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding. CoRR abs/2110.07582 (2021) - 2020
- [j149]Xinxin Fan, Ling Liu, Rui Zhang, Quanliang Jing, Jingping Bi:
Decentralized Trust Management: Risk Analysis and Trust Aggregation. ACM Comput. Surv. 53(1): 2:1-2:33 (2020) - [j148]Wenqi Cao, Ling Liu:
Hierarchical Orchestration of Disaggregated Memory. IEEE Trans. Computers 69(6): 844-855 (2020) - [j147]Sayan Goswami, Ayam Pokhrel, Kisung Lee, Ling Liu, Qi Zhang, Yang Zhou:
GraphMap: scalable iterative graph processing using NoSQL. J. Supercomput. 76(9): 6619-6647 (2020) - [j146]Ling Liu:
Internet Technology Outlook: From Communication to Storage and Cognitive Computing. ACM Trans. Internet Techn. 20(1): 1:1-1:4 (2020) - [j145]Yang Zhou, Ling Liu, Kisung Lee, Balaji Palanisamy, Qi Zhang:
Improving Collaborative Filtering with Social Influence over Heterogeneous Information Networks. ACM Trans. Internet Techn. 20(4): 36:1-36:29 (2020) - [c285]Chungheon Yi, Wonik Choi, Youngjun Jeon, Ling Liu:
Functional Perceptron using Multi-dimensional Activation Functions. CogMI 2020: 8-16 - [c284]Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong:
Cross-Modal Joint Embedding with Diverse Semantics. CogMI 2020: 157-166 - [c283]Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei:
Promoting High Diversity Ensemble Learning with EnsembleBench. CogMI 2020: 208-217 - [c282]Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Juhyun Bae, Yanzhao Wu:
Memory Abstraction and Optimization for Distributed Executors. CIC 2020: 78-87 - [c281]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Understanding Object Detection Through an Adversarial Lens. ESORICS (2) 2020: 460-481 - [c280]Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu:
Data Poisoning Attacks Against Federated Learning Systems. ESORICS (1) 2020: 480-501 - [c279]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
A Framework for Evaluating Client Privacy Leakages in Federated Learning. ESORICS (1) 2020: 545-566 - [c278]Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei:
LDP-Fed: federated learning with local differential privacy. EdgeSys@EuroSys 2020: 61-66 - [c277]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. ICNC 2020: 456-460 - [c276]Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads. MEMSYS 2020: 194-208 - [c275]Mehmet Emre Gursoy, Vivekanand Rajasekar, Ling Liu:
Utility-Optimized Synthesis of Differentially Private Location Traces. TPS-ISA 2020: 30-39 - [c274]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Adversarial Deception in Deep Learning: Analysis and Mitigation. TPS-ISA 2020: 236-245 - [c273]Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. TPS-ISA 2020: 263-272 - [c272]Qi Zhang, Zehra Sura, Ashish Kundu, Gong Su, Arun Iyengar, Ling Liu:
StackVault: Protection from Untrusted Functions. TPS-ISA 2020: 294-306 - [i26]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems. CoRR abs/2004.04320 (2020) - [i25]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning. CoRR abs/2004.10397 (2020) - [i24]Stacey Truex, Ling Liu, Ka Ho Chow, Mehmet Emre Gursoy, Wenqi Wei:
LDP-Fed: Federated Learning with Local Differential Privacy. CoRR abs/2006.03637 (2020) - [i23]Ka Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Understanding Object Detection Through An Adversarial Lens. CoRR abs/2007.05828 (2020) - [i22]Wenqi Wei, Qi Zhang, Ling Liu:
Bitcoin Transaction Forecasting with Deep Network Representation Learning. CoRR abs/2007.07993 (2020) - [i21]Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu:
Data Poisoning Attacks Against Federated Learning Systems. CoRR abs/2007.08432 (2020) - [i20]Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads. CoRR abs/2008.00902 (2020) - [i19]Mehmet Emre Gursoy, Vivekanand Rajasekar, Ling Liu:
Utility-Optimized Synthesis of Differentially Private Location Traces. CoRR abs/2009.06505 (2020) - [i18]Wenqi Wei, Ling Liu:
Robust Deep Learning Ensemble against Deception. CoRR abs/2009.06589 (2020) - [i17]Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei:
Promoting High Diversity Ensemble Learning with EnsembleBench. CoRR abs/2010.10623 (2020)
2010 – 2019
- 2019
- [j144]Rui Zhang, Rui Xue, Ling Liu:
Security and Privacy on Blockchain. ACM Comput. Surv. 52(3): 51:1-51:34 (2019) - [j143]Qi Zhang, Ling Liu, Junhao Wen:
一种基于领域信任及不信任的奇异值分解推荐算法 (Recommendation Algorithm with Field Trust and Distrust Based on SVD). 计算机科学 46(10): 27-31 (2019) - [j142]Chungheon Yi, Wonik Choi, Youngjun Jeon, Ling Liu:
Pressure-Pair-Based Floor Localization System Using Barometric Sensors on Smartphones. Sensors 19(16): 3622 (2019) - [j141]Zhiling Luo, Ling Liu, Jianwei Yin, Ying Li, Zhaohui Wu:
Latent Ability Model: A Generative Probabilistic Learning Framework for Workforce Analytics. IEEE Trans. Knowl. Data Eng. 31(5): 923-937 (2019) - [j140]Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu:
Differentially Private and Utility Preserving Publication of Trajectory Data. IEEE Trans. Mob. Comput. 18(10): 2315-2329 (2019) - [j139]Wenhua Xiao, Xiaomin Zhu, Weidong Bao, Ling Liu, Jian Yao:
Cooperative Data Sharing for Mobile Cloudlets Under Heterogeneous Environments. IEEE Trans. Netw. Serv. Manag. 16(2): 430-444 (2019) - [j138]Kisung Lee, Ling Liu, Raghu K. Ganti, Mudhakar Srivatsa, Qi Zhang, Yang Zhou, Qingyang Wang:
Lightweight Indexing and Querying Services for Big Spatial Data. IEEE Trans. Serv. Comput. 12(3): 343-355 (2019) - [c271]Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. IEEE BigData 2019: 1282-1291 - [c270]Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang:
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. IEEE BigData 2019: 1971-1980 - [c269]Lei Yu, Qi Zhang, Donna Dillenberger, Ling Liu, Calton Pu, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Hong Min, Arun Iyengar, Gong Su:
GRAHIES: Multi-Scale Graph Representation Learning with Latent Hierarchical Structure. CogMI 2019: 8-15 - [c268]Yang Zhou, Ling Liu, Qi Zhang, Kisung Lee, Balaji Palanisamy:
Enhancing Collaborative Filtering with Multi-label Classification. CSoNet 2019: 323-338 - [c267]Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu:
Memory Disaggregation: Research Problems and Opportunities. ICDCS 2019: 1664-1673 - [c266]Pingpeng Yuan, Longlong Lin, Zhijuan Kou, Ling Liu, Hai Jin:
Big RDF Data Storage, Computation, and Analysis: A Strawman's Arguments. ICDCS 2019: 1693-1703 - [c265]Ling Liu, Qi Zhang, Yi Zhang, Junhao Wen:
A Social Recommendation Algorithm with Trust and Distrust Considering Domain Relevance. ICONIP (5) 2019: 581-588 - [c264]Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. MASS 2019: 274-282 - [c263]Rui Zhang, Peng Xie, Hongbo Jiang, Zhu Xiao, Chen Wang, Ling Liu:
Clustering Noisy Trajectories via Robust Deep Attention Auto-Encoders. MDM 2019: 63-71 - [c262]Gaoyang Liu, Rui Zhang, Chen Wang, Ling Liu:
Synchronization-Free GPS Spoofing Detection with Crowdsourced Air Traffic Control Data. MDM 2019: 260-268 - [c261]Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex:
Differentially Private Model Publishing for Deep Learning. IEEE Symposium on Security and Privacy 2019: 332-349 - [c260]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu:
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. TPS-ISA 2019: 82-91 - [e9]Ling Liu, Ryen W. White, Amin Mantrach, Fabrizio Silvestri, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia:
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. ACM 2019, ISBN 978-1-4503-6674-8 [contents] - [i16]Rui Zhang, Rui Xue, Ling Liu:
Security and Privacy on Blockchain. CoRR abs/1903.07602 (2019) - [i15]Lei Yu, Ling Liu, Calton Pu, Mehmet Emre Gursoy, Stacey Truex:
Differentially Private Model Publishing for Deep Learning. CoRR abs/1904.02200 (2019) - [i14]Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu:
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. CoRR abs/1905.06361 (2019) - [i13]Qi Zhang, Zehra Sura, Ashish Kundu, Gong Su, Arun Iyengar, Ling Liu:
StackVault: Protection from Untrusted Functions. CoRR abs/1907.03710 (2019) - [i12]Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu:
Utility-aware and privacy-preserving mobile query services. CoRR abs/1907.06778 (2019) - [i11]Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang:
Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks. CoRR abs/1908.06477 (2019) - [i10]Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. CoRR abs/1908.07667 (2019) - [i9]Ling Liu, Wenqi Wei, Ka Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness. CoRR abs/1908.11091 (2019) - [i8]Xinxin Fan, Ling Liu, Rui Zhang, Quanliang Jing, Jingping Bi:
Decentralized Trust Management: Risk Analysis and Trust Aggregation. CoRR abs/1909.11355 (2019) - [i7]Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. CoRR abs/1910.01742 (2019) - [i6]Xiao-ke Zhu, Qi Zhang, Ling Liu, Taining Cheng, Shaowen Yao, Wei Zhou, Jing He:
DLB: Deep Learning Based Load Balancing. CoRR abs/1910.08494 (2019) - [i5]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu:
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability. CoRR abs/1911.09777 (2019) - 2018
- [j137]Mincheol Kim, Ling Liu, Wonik Choi:
A GPU-Aware Parallel Index for Processing High-Dimensional Big Data. IEEE Trans. Computers 67(10): 1388-1402 (2018) - [j136]Balaji Palanisamy, Ling Liu, Yang Zhou, Qingyang Wang:
Privacy-Preserving Publishing of Multilevel Utility-Controlled Graph Datasets. ACM Trans. Internet Techn. 18(2): 24:1-24:21 (2018) - [j135]Lei Yu, Haiying Shen, Zhipeng Cai, Ling Liu, Calton Pu:
Towards Bandwidth Guarantee for Virtual Clusters Under Demand Uncertainty in Multi-Tenant Clouds. IEEE Trans. Parallel Distributed Syst. 29(2): 450-465 (2018) - [j134]Rui Zhang, Rui Xue, Ling Liu:
Searchable Encryption for Healthcare Clouds: A Survey. IEEE Trans. Serv. Comput. 11(6): 978-996 (2018) - [c259]Qi Zhang, Ling Liu, Calton Pu, Qiwei Dou, Liren Wu, Wei Zhou:
A Comparative Study of Containers and Virtual Machines in Big Data Environment. IEEE CLOUD 2018: 178-185 - [c258]Wenqi Cao, Ling Liu:
Dynamic and Transparent Memory Sharing for Accelerating Big Data Analytics Workloads in Virtualized Cloud. IEEE BigData 2018: 191-200 - [c257]Yanzhao Wu, Wenqi Cao, Semih Sahin, Ling Liu:
Experimental Characterizations and Analysis of Deep Learning Frameworks. IEEE BigData 2018: 372-377 - [c256]Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu, Margaret Loper, Bhuvan Bamba, Kisung Lee:
PrivacyZone: A Novel Approach to Protecting Location Privacy of Mobile Users. IEEE BigData 2018: 1238-1247 - [c255]Mehmet Emre Gursoy, Ling Liu, Stacey Truex, Lei Yu, Wenqi Wei:
Utility-Aware Synthesis of Differentially Private and Attack-Resilient Location Traces. CCS 2018: 196-211 - [c254]Junjie Chen, Xiaomin Zhu, Weidong Bao, Zhong Liu, Ling Liu:
WITCAT: A Workload Spike Targeted Cloud Management Solution. SoCC 2018: 520 - [c253]Amit Warke, Mohamed Mohamed, Robert Engel, Heiko Ludwig, Wayne Sawdon, Ling Liu:
Storage Service Orchestration with Container Elasticity. CIC 2018: 283-292 - [c252]You Sun, Rui Zhang, Xin Wang, Kaiqiang Gao, Ling Liu:
A Decentralizing Attribute-Based Signature for Healthcare Blockchain. ICCCN 2018: 1-9 - [c251]Qi Zhang, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin:
Efficient Shared Memory Orchestration towards Demand Driven Memory Slicing. ICDCS 2018: 1212-1223 - [c250]Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang:
Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. ICDCS 2018: 1258-1269 - [c249]Shuang Zhou, Pingpeng Yuan, Ling Liu, Hai Jin:
MGTag: a Multi-Dimensional Graph Labeling Scheme for Fast Reachability Queries. ICDE 2018: 1372-1375 - [e8]Sorel Reisman, Sheikh Iqbal Ahamed, Claudio Demartini, Thomas M. Conte, Ling Liu, William R. Claycomb, Motonori Nakamura, Edmundo Tovar, Stelvio Cimato, Chung-Horng Lung, Hiroki Takakura, Ji-Jiang Yang, Toyokazu Akiyama, Zhiyong Zhang, Kamrul Hasan:
2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018, Tokyo, Japan, 23-27 July 2018, Volume 1. IEEE Computer Society 2018, ISBN 978-1-5386-2667-2 [contents] - [e7]Sorel Reisman, Sheikh Iqbal Ahamed, Claudio Demartini, Thomas M. Conte, Ling Liu, William R. Claycomb, Motonori Nakamura, Edmundo Tovar, Stelvio Cimato, Chung-Horng Lung, Hiroki Takakura, Ji-Jiang Yang, Toyokazu Akiyama, Zhiyong Zhang, Kamrul Hasan:
2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018, Tokyo, Japan, 23-27 July 2018, Volume 2. IEEE Computer Society 2018 [contents] - [i4]Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy:
Adversarial Examples in Deep Learning: Characterization and Divergence. CoRR abs/1807.00051 (2018) - [i3]Qi Zhang, Ling Liu, Calton Pu, Qiwei Dou, Liren Wu, Wei Zhou:
A Comparative Study of Containers and Virtual Machines in Big Data Environment. CoRR abs/1807.01842 (2018) - [i2]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei:
Towards Demystifying Membership Inference Attacks. CoRR abs/1807.09173 (2018) - [i1]Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang:
A Comparative Measurement Study of Deep Learning as a Service Framework. CoRR abs/1810.12210 (2018) - 2017
- [j133]Qi Zhang, Ling Liu, Gong Su, Arun Iyengar:
MemFlex: A Shared Memory Swapper for High Performance VM Execution. IEEE Trans. Computers 66(9): 1645-1652 (2017) - [j132]Boseon Yu, Wonik Choi, Ling Liu:
Exploring correlation for fast skyline computation. J. Supercomput. 73(11): 5071-5102 (2017) - [j131]Boseon Yu, Wonik Choi, Ling Liu:
Erratum to: Exploring correlation for fast skyline computation. J. Supercomput. 73(11): 5103 (2017) - [j130]Binh Han, Ling Liu, Edward Omiecinski:
A Systematic Approach to Clustering Whole Trajectories of Mobile Objects in Road Networks. IEEE Trans. Knowl. Data Eng. 29(5): 936-949 (2017) - [j129]Zhiling Luo, Ling Liu, Jianwei Yin, Ying Li, Zhaohui Wu:
Deep Learning of Graphs with Ngram Convolutional Neural Networks. IEEE Trans. Knowl. Data Eng. 29(10): 2125-2139 (2017) - [j128]Xinxin Fan, Ling Liu, Mingchu Li, Zhiyuan Su:
GroupTrust: Dependable Trust Management. IEEE Trans. Parallel Distributed Syst. 28(4): 1076-1090 (2017) - [j127]Huangke Chen, Xiaomin Zhu, Dishan Qiu, Ling Liu, Zhihui Du:
Scheduling for Workflows with Security-Sensitive Intermediate Data by Selective Tasks Duplication in Clouds. IEEE Trans. Parallel Distributed Syst. 28(9): 2674-2688 (2017) - [j126]Wenhua Xiao, Weidong Bao, Xiaomin Zhu, Ling Liu:
Cost-Aware Big Data Processing Across Geo-Distributed Datacenters. IEEE Trans. Parallel Distributed Syst. 28(11): 3114-3127 (2017) - [j125]Ling Liu:
Serving the Services Computing Community. IEEE Trans. Serv. Comput. 10(1): 1-2 (2017) - [c248]Chungheon Yi, Wonik Choi, Ling Liu, Youngjun Jeon:
Cloud-Based Positioning Method with Visualized Signal Images. CLOUD 2017: 122-129 - [c247]Arghya Kusum Das, Jae-Ki Hong, Sayan Goswami, Richard Platania, Kisung Lee, Wooseok Chang, Seung-Jong Park, Ling Liu:
Augmenting Amdahl's Second Law: A Theoretical Model to Build Cost-Effective Balanced HPC Infrastructure for Data-Driven Science. CLOUD 2017: 147-154 - [c246]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu:
Privacy-Preserving Inductive Learning with Decision Trees. BigData Congress 2017: 57-64 - [c245]Guanlin Wu, Junjie Chen, Weidong Bao, Xiaomin Zhu, Wenhua Xiao, Ji Wang, Ling Liu:
MECCAS: Collaborative Storage Algorithm Based on Alternating Direction Method of Multipliers on Mobile Edge Cloud. EDGE 2017: 40-46 - [c244]Emre Yigitoglu, Ling Liu, Margaret Loper, Calton Pu:
Distributed Orchestration in Large-Scale IoT Systems. ICIOT 2017: 58-65 - [c243]Wei Zhou, Ling Liu, Calton Pu, Tao Zhu, Qingyang Wang, Wenkun Xiang, Shaowen Yao:
An Experimental Study of a Biosequence Big Data Analysis Service. ICWS 2017: 237-244 - [c242]Bin Ye, Yan Wang, Ling Liu:
CrowdDefense: A Trust Vector-Based Threat Defense Model in Crowdsourcing Environments. ICWS 2017: 245-252 - [c241]Rui Zhang, Rui Xue, Ling Liu, Lijuan Zheng:
Oblivious Multi-Keyword Search for Secure Cloud Storage Service. ICWS 2017: 269-276 - [c240]Ying Wu, Rui Zhang, Rui Xue, Ling Liu:
Multi-Client Verifiable Computation Service for Outsourced Data. ICWS 2017: 556-563 - [c239]Guoliang Zhu, Kai Lu, Xiaoping Wang, Yiming Zhang, Ling Liu:
A Case for Memory Frequency Sensitivity. ICWS 2017: 844-848 - [c238]Lei Yu, Ling Liu, Calton Pu:
Dynamic Differential Location Privacy with Personalized Error Bounds. NDSS 2017 - [c237]