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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")
— Shenzhen University, College of Computer Science and Software Engineering, China (and 1 more) - 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
- 2023
[j194]Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan:
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding. ACM Comput. Surv. 55(2): 38:1-38:35 (2023)- [i44]Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu:
EENet: Learning to Early Exit for Adaptive Inference. CoRR abs/2301.07099 (2023) - 2022
- [j193]Jaejin Seo, Sangwon Lee, Ling Liu, Wonik Choi:
TA-SBERT: Token Attention Sentence-BERT for Improving Sentence Representation. IEEE Access 10: 39119-39128 (2022) - [j192]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) - [j191]Pei Ren, Xiuquan Qiao, Yakun Huang, Ling Liu, Calton Pu, Schahram Dustdar, Junliang Chen:
Edge AR X5: An Edge-Assisted Multi-User Collaborative Framework for Mobile Web Augmented Reality in 5G and Beyond. IEEE Trans. Cloud Comput. 10(4): 2521-2537 (2022) - [j190]Wenqi Wei, Ling Liu:
Gradient Leakage Attack Resilient Deep Learning. IEEE Trans. Inf. Forensics Secur. 17: 303-316 (2022) - [j189]Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei:
An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17: 1785-1799 (2022) - [j188]Yakun Huang, Xiuquan Qiao, Pei Ren, Ling Liu, Calton Pu, Schahram Dustdar, Junliang Chen:
A Lightweight Collaborative Deep Neural Network for the Mobile Web in Edge Cloud. IEEE Trans. Mob. Comput. 21(7): 2289-2305 (2022) - [j187]Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li:
Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering. ACM Trans. Inf. Syst. 40(4): 74:1-74:27 (2022) - [j186]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. IEEE Trans. Serv. Comput. 15(1): 551-566 (2022) - [j185]Pingpeng Yuan, Yujie You, Shuang Zhou, Hai Jin, Ling Liu:
Providing Fast Reachability Query Services With MGTag: A Multi-Dimensional Graph Labeling Method. IEEE Trans. Serv. Comput. 15(2): 1000-1011 (2022) - [j184]Bowen Fei, Xiaomin Zhu, Daqian Liu, Junjie Chen, Weidong Bao, Ling Liu:
Elastic Resource Provisioning Using Data Clustering in Cloud Service Platform. IEEE Trans. Serv. Comput. 15(3): 1578-1591 (2022) - [j183]Bei Wang, Ling Xu, Meng Yan, Chao Liu, Ling Liu:
Multi-Dimension Convolutional Neural Network for Bug Localization. IEEE Trans. Serv. Comput. 15(3): 1649-1663 (2022) - [j182]Yuming Wang, Yanbo Long, Lai Tu, Ling Liu:
Delivering Scientific Influence Analysis as a Service on Research Grants Repository. IEEE Trans. Serv. Comput. 15(4): 1896-1911 (2022) - [j181]Xiong Gao, Weidong Bao, Xiaomin Zhu, Guanlin Wu, Ling Liu:
An Edge Storage Acceleration Service for Collaborative Mobile Devices. IEEE Trans. Serv. Comput. 15(4): 1993-2006 (2022) - [j180]Mincheol Kim, Ling Liu, Wonik Choi:
Multi-GPU Efficient Indexing For Maximizing Parallelism of High Dimensional Range Query Services. IEEE Trans. Serv. Comput. 15(5): 2910-2924 (2022) - [j179]Pei Ren, Xiuquan Qiao, Yakun Huang, Ling Liu, Calton Pu, Schahram Dustdar:
Fine-Grained Elastic Partitioning for Distributed DNN Towards Mobile Web AR Services in the 5G Era. IEEE Trans. Serv. Comput. 15(6): 3260-3274 (2022) - [j178]Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong:
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. IEEE Trans. Serv. Comput. 15(6): 3304-3316 (2022) - [j177]Rui Zhang, Rui Xue, Ling Liu:
Security and Privacy for Healthcare Blockchains. IEEE Trans. Serv. Comput. 15(6): 3668-3686 (2022) - [j176]Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Jifei Wang, Ling Liu, Hai Jin:
Mining Stable Quasi-Cliques on Temporal Networks. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3731-3745 (2022) - [c330]Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu:
DeepRest: deep resource estimation for interactive microservices. EuroSys 2022: 181-198 - [c329]Ling Liu, Minghan Cai, Rui Zhang, Qianchen Xiang, Hairu Yang:
Research on the Current Situation and Strategies of College Students' Online Learning Interaction and Satisfaction During the COVID-19 Pandemic. IC4E 2022: 189-196 - [i43]Yanzhao Wu, Ling Liu:
Selecting and Composing Learning Rate Policies for Deep Neural Networks. CoRR abs/2210.12936 (2022) - [i42]Imam Mustafa Kamal, Hyerim Bae, Ling Liu:
Metric Learning as a Service with Covariance Embedding. CoRR abs/2211.15197 (2022) - [i41]Sung-Hyun Sim, Ling Liu, Hyerim Bae:
Automatic Discovery of Multi-perspective Process Model using Reinforcement Learning. CoRR abs/2211.16687 (2022) - [i40]Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Anima Anandkumar:
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing. CoRR abs/2212.10789 (2022) - [i39]Shanxiang Lyu, Ling Liu, Junzuo Lai, Cong Ling, Hao Chen:
Lattice Codes for Lattice-Based PKE. IACR Cryptol. ePrint Arch. 2022: 874 (2022) - 2021
- [j175]Sangwon Lee, Ling Liu, Wonik Choi:
Iterative Translation-Based Data Augmentation Method for Text Classification Tasks. IEEE Access 9: 160437-160445 (2021) - [j174]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 (2021) - [j173]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) - [j172]Wenqi Wei, Ling Liu:
Robust Deep Learning Ensemble Against Deception. IEEE Trans. Dependable Secur. Comput. 18(4): 1513-1527 (2021) - [j171]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) - [j170]Wenqi Wei, Qi Zhang, Ling Liu:
Bitcoin Transaction Forecasting With Deep Network Representation Learning. IEEE Trans. Emerg. Top. Comput. 9(3): 1359-1371 (2021) - [j169]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) - [j168]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) - [j167]Yiming Zhang, Dong Sheng Li, Chengfei Zhang, Jinyan Wang, Ling Liu:
GraphA: Efficient Partitioning and Storage for Distributed Graph Computation. IEEE Trans. Serv. Comput. 14(1): 155-166 (2021) - [j166]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) - [c328]Xiao-ke Zhu, Qi Zhang, Taining Cheng, Ling Liu, Wei Zhou, Jing He:
DLB: Deep Learning Based Load Balancing. CLOUD 2021: 648-653 - [c327]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 - [c326]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 - [c325]Wenqi Cao, Ling Liu, Gong Su, Arun Iyengar:
Efficient Huge Page Management with Xpage. IEEE BigData 2021: 1317-1326 - [c324]Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong:
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images. CIKM 2021: 2221-2230 - [c323]Yanzhao Wu, Ling Liu, Ramana Kompella:
Parallel Detection for Efficient Video Analytics at the Edge. CogMI 2021: 1-10 - [c322]Juhyun Bae, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
RDMAbox: Optimizing RDMA for Memory Intensive Workload. CIC 2021: 1-10 - [c321]Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei:
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. CVPR 2021: 16469-16477 - [c320]Yangyang Zhang, Jianxin Li, Yiming Zhang, Lijie Wang, Ling Liu:
FreeLauncher: Lossless Failure Recovery of Parameter Servers with Ultralight Replication. ICDCS 2021: 472-482 - [c319]Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
Gradient-Leakage Resilient Federated Learning. ICDCS 2021: 797-807 - [c318]Yanzhao Wu, Ling Liu:
Boosting Deep Ensemble Performance with Hierarchical Pruning. ICDM 2021: 1433-1438 - [c317]Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong:
Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning. ICMI 2021: 43-51 - [c316]Yakun Huang, Hongru Zhao, Xiuquan Qiao, Jian Tang, Ling Liu:
Towards Video Streaming Analysis and Sharing for Multi-Device Interaction with Lightweight DNNs. INFOCOM 2021: 1-10 - [c315]Ka Ho Chow, Ling Liu:
Robust Object Detection Fusion Against Deception. KDD 2021: 2703-2713 - [c314]Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu:
SRA: Smart Recovery Advisor for Cyber Attacks. SIGMOD Conference 2021: 2691-2695 - [c313]Ka Ho Chow, Ling Liu:
Perception Poisoning Attacks in Federated Learning. TPS-ISA 2021: 146-155 - [c312]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow:
The TSC-PFed Architecture for Privacy-Preserving FL. TPS-ISA 2021: 207-216 - [i38]Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
RDMAbox : Optimizing RDMA for Memory Intensive Workloads. CoRR abs/2104.12197 (2021) - [i37]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) - [i36]Rui Zhang, Rui Xue, Ling Liu:
Security and Privacy for Healthcare Blockchains. CoRR abs/2106.06136 (2021) - [i35]Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
Gradient-Leakage Resilient Federated Learning. CoRR abs/2107.01154 (2021) - [i34]Yanzhao Wu, Ling Liu, Ramana Kompella:
Parallel Detection for Efficient Video Analytics at the Edge. CoRR abs/2107.12563 (2021) - [i33]Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong:
Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning. CoRR abs/2108.00705 (2021) - [i32]Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong:
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. CoRR abs/2108.00724 (2021) - [i31]Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong:
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images. CoRR abs/2108.03788 (2021) - [i30]Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan:
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding. CoRR abs/2110.07582 (2021) - [i29]Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li:
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering. CoRR abs/2110.11592 (2021) - [i28]Wenqi Wei, Ling Liu:
Gradient Leakage Attack Resilient Deep Learning. CoRR abs/2112.13178 (2021) - 2020
- [j165]Pei Ren, Xiuquan Qiao, Yakun Huang, Ling Liu, Schahram Dustdar, Junliang Chen:
Edge-Assisted Distributed DNN Collaborative Computing Approach for Mobile Web Augmented Reality in 5G Networks. IEEE Netw. 34(2): 254-261 (2020) - [j164]Wenqi Cao, Ling Liu:
Hierarchical Orchestration of Disaggregated Memory. IEEE Trans. Computers 69(6): 844-855 (2020) - [j163]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) - [j162]Ling Liu:
Internet Technology Outlook: From Communication to Storage and Cognitive Computing. ACM Trans. Internet Techn. 20(1): 1:1-1:4 (2020) - [j161]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) - [j160]Ming Xu, Yimeng Fan, Ling Liu:
Multi-Party Secret Key Generation Over Underwater Acoustic Channels. IEEE Wirel. Commun. Lett. 9(7): 1075-1079 (2020) - [c311]Chungheon Yi, Wonik Choi, Youngjun Jeon, Ling Liu:
Functional Perceptron using Multi-dimensional Activation Functions. CogMI 2020: 8-16 - [c310]Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong:
Cross-Modal Joint Embedding with Diverse Semantics. CogMI 2020: 157-166 - [c309]Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei:
Promoting High Diversity Ensemble Learning with EnsembleBench. CogMI 2020: 208-217 - [c308]Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Juhyun Bae, Yanzhao Wu:
Memory Abstraction and Optimization for Distributed Executors. CIC 2020: 78-87 - [c307]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 - [c306]Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu:
Data Poisoning Attacks Against Federated Learning Systems. ESORICS (1) 2020: 480-501 - [c305]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 - [c304]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 - [c303]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 - [c302]Yakun Huang, Xiuquan Qiao, Jian Tang, Pei Ren, Ling Liu, Calton Pu, Junliang Chen:
DeepAdapter: A Collaborative Deep Learning Framework for the Mobile Web Using Context-Aware Network Pruning. INFOCOM 2020: 834-843 - [c301]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 - [c300]Mehmet Emre Gursoy, Vivekanand Rajasekar, Ling Liu:
Utility-Optimized Synthesis of Differentially Private Location Traces. TPS-ISA 2020: 30-39 - [c299]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 - [c298]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 - [c297]Qi Zhang, Zehra Sura, Ashish Kundu, Gong Su, Arun Iyengar, Ling Liu:
StackVault: Protection from Untrusted Functions. TPS-ISA 2020: 294-306 - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]Wenqi Wei, Qi Zhang, Ling Liu:
Bitcoin Transaction Forecasting with Deep Network Representation Learning. CoRR abs/2007.07993 (2020) - [i22]Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu:
Data Poisoning Attacks Against Federated Learning Systems. CoRR abs/2007.08432 (2020) - [i21]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) - [i20]Mehmet Emre Gursoy, Vivekanand Rajasekar, Ling Liu:
Utility-Optimized Synthesis of Differentially Private Location Traces. CoRR abs/2009.06505 (2020) - [i19]Wenqi Wei, Ling Liu:
Robust Deep Learning Ensemble against Deception. CoRR abs/2009.06589 (2020) - [i18]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
- [j159]Rui Zhang, Rui Xue, Ling Liu:
Security and Privacy on Blockchain. ACM Comput. Surv. 52(3): 51:1-51:34 (2019) - [j158]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) - [j157]Xiuquan Qiao, Pei Ren, Schahram Dustdar, Ling Liu, Huadong Ma, Junliang Chen:
Web AR: A Promising Future for Mobile Augmented Reality - State of the Art, Challenges, and Insights. Proc. IEEE 107(4): 651-666 (2019) - [j156]Chungheon Yi, Wonik Choi, Youngjun Jeon, Ling Liu:
Pressure-Pair-Based Floor Localization System Using Barometric Sensors on Smartphones. Sensors 19(16): 3622 (2019) - [j155]Yunpeng Xiao, Haiyang Yu, Qian Li, Ling Liu, Ming Xu, Hanchun Xiao:
MPURank: A Social Hotspot Tracking Scheme Based on Tripartite Graph and Multimessages Iterative Driven. IEEE Trans. Comput. Soc. Syst. 6(4): 715-725 (2019) - [j154]Ming Xu, Ling Liu:
Sender-Receiver Role-Based Energy-Aware Scheduling for Internet of Underwater Things. IEEE Trans. Emerg. Top. Comput. 7(2): 324-336 (2019) - [j153]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) - [j152]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) - [j151]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) - [j150]Yiming Zhang, Dongsheng Li, Ling Liu:
Leveraging Glocality for Fast Failure Recovery in Distributed RAM Storage. ACM Trans. Storage 15(1): 3:1-3:24 (2019) - [j149]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) - [c296]Yuming Wang, Huiqiang Zhao, Lai Tu, Jingpei Dan, Ling Liu:
A Relation Extraction Method Based on Entity Type Embedding and Recurrent Piecewise Residual Networks. BigData Congress 2019: 33-48 - [c295]Ling Liu:
Deception, Robustness and Trust in Big Data Fueled Deep Learning Systems. IEEE BigData 2019: 3 - [c294]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 - [c293]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 - [c292]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 - [c291]Yang Zhou, Ling Liu:
Approximate Deep Network Embedding for Mining Large-Scale Graphs. CogMI 2019: 53-60