Qi Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 43

Top Venues

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Yibo Wang, Kai Li, Yuzhe Tang, Jiaqi Chen, Qi Zhang, Xiapu Luo, Ting Chen
Towards Saving Blockchain Fees via Secure and Cost-Effective Batching of Smart-Contract Invocations. IEEE Trans. Software Eng. 49 (4) (2023)
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) (2022)
Wenqi Wei, Qi Zhang, Ling Liu
Bitcoin Transaction Forecasting With Deep Network Representation Learning. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Akshar Kaul, Manish Kesarwani, Hong Min, Qi Zhang
Knowledge & Learning-based Adaptable System for Sensitive Information Identification and Handling. CLOUD (2021)
Akshar Kaul, Manish Kesarwani, Hong Min, Qi Zhang
Knowledge & Learning-based Adaptable System for Sensitive Information Identification and Handling. CoRR (2021)
Qi Zhang, Ali Dehghantanha, Katrin Franke, Reza M. Parizi
Introduction to the Minitrack on Decentralized Federated Learning: Applications, Solutions, and Challenges. HICSS (2021)
Yibo Wang, Qi Zhang, Kai Li, Yuzhe Richard Tang, Xiapu Luo, Ting Chen
iBatch: Saving Ethereum Fees via Secure and Cost-Effective Batching of Smart-Contract Invocations. CoRR (2021)
Xiao-ke Zhu, Qi Zhang, Taining Cheng, Ling Liu, Wei Zhou, Jing He
DLB: Deep Learning Based Load Balancing. CLOUD (2021)
Amritraj Singh, Kelly Click, Reza M. Parizi, Qi Zhang, Ali Dehghantanha, Kim-Kwang Raymond Choo
Sidechain technologies in blockchain networks: An examination and state-of-the-art review. J. Netw. Comput. Appl. 149 (2020)
Wenqi Wei, Qi Zhang, Ling Liu
Bitcoin Transaction Forecasting with Deep Network Representation Learning. CoRR (2020)
Abbas Yazdinejad, Reza M. Parizi, Ali Dehghantanha, Qi Zhang, Kim-Kwang Raymond Choo
An Energy-Efficient SDN Controller Architecture for IoT Networks With Blockchain-Based Security. IEEE Trans. Serv. Comput. 13 (4) (2020)
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) (2020)
Peng Zhao, Weixiong Rao, Chengxi Zhang, Gong Su, Qi Zhang
SST: Synchronized Spatial-Temporal Trajectory Similarity Search. GeoInformatica 24 (4) (2020)
Amritraj Singh, Reza M. Parizi, Qi Zhang, Kim-Kwang Raymond Choo, Ali Dehghantanha
Blockchain smart contracts formalization: Approaches and challenges to address vulnerabilities. Comput. Secur. 88 (2020)
Qi Zhang, Zehra Sura, Ashish Kundu, Gong Su, Arun Iyengar, Ling Liu
StackVault: Protection from Untrusted Functions. TPS-ISA (2020)
Xiao-ke Zhu, Qi Zhang, Ling Liu, Taining Cheng, Shaowen Yao, Wei Zhou, Jing He
DLB: Deep Learning Based Load Balancing. CoRR (2019)
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 (2019)
Yuzhe Richard Tang, Ju Chen, Kai Li, Jianliang Xu, Qi Zhang
Authenticated Key-Value Stores with Hardware Enclaves. CoRR (2019)
Tzipora Halevi, Fabrice Benhamouda, Angelo De Caro, Shai Halevi, Charanjit S. Jutla, Yacov Manevich, Qi Zhang
Initial Public Offering (IPO) on Permissioned Blockchain Using Secure Multiparty Computation. Blockchain (2019)
Qi Zhang, Zehra Sura, Ashish Kundu, Gong Su, Arun Iyengar, Ling Liu
StackVault: Protection from Untrusted Functions. CoRR (2019)
Kai Li, Yuzhe Richard Tang, Qi Zhang, Cheng Xu, Jianliang Xu
GRuB: Gas-Efficient Blockchain Storage via Workload-Adaptive Data Replication. CoRR (2019)
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) (2019)
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)
Yang Zhou, Ling Liu, Qi Zhang, Kisung Lee, Balaji Palanisamy
Enhancing Collaborative Filtering with Multi-label Classification. CSoNet (2019)
Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu
Memory Disaggregation: Research Problems and Opportunities. ICDCS (2019)
Peng Zhao, Qinpei Zhao, Chenxi Zhang, Gong Su, Qi Zhang, Weixiong Rao
CLEAN: Frequent Pattern-Based Trajectory Spatial-Temporal Compression on Road Networks. MDM (2019)
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)
Emmanuel Nyaletey, Reza M. Parizi, Qi Zhang, Kim-Kwang Raymond Choo
BlockIPFS - Blockchain-Enabled Interplanetary File System for Forensic and Trusted Data Traceability. Blockchain (2019)
Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang
Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. ICDCS (2018)
Qi Zhang, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin
Efficient Shared Memory Orchestration towards Demand Driven Memory Slicing. ICDCS (2018)
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)
Qi Zhang, Petr Novotný, Salman Baset, Donna N. Dillenberger, Artem Barger, Yacov Manevich
LedgerGuard: Improving Blockchain Ledger Dependability. ICBC (2018)
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 (2018)
Qi Zhang, Petr Novotný, Salman Baset, Donna N. Dillenberger, Artem Barger, Yacov Manevich
LedgerGuard: Improving Blockchain Ledger Dependability. CoRR (2018)
Petr Novotný, Qi Zhang, Richard Hull, Salman Baset, Jim Laredo, Roman Vaculín, Daniel L. Ford, Donna N. Dillenberger
Permissioned blockchain technologies for academic publishing. Inf. Serv. Use 38 (3) (2018)
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 (2018)
Petr Novotný, Qi Zhang, Richard Hull, Salman Baset, Jim Laredo, Roman Vaculín, Daniel L. Ford, Donna N. Dillenberger
Permissioned Blockchain Technologies for Academic Publishing. CoRR (2018)
Qi Zhang, Ling Liu, Gong Su, Arun Iyengar
MemFlex: A Shared Memory Swapper for High Performance VM Execution. IEEE Trans. Computers 66 (9) (2017)
Jiangchun Ren, Ling Liu, Da Zhang, Qi Zhang, Haihe Ba
Tenants Attested Trusted Cloud Service. CLOUD (2016)
Qi Zhang, Ling Liu, Jiangchun Ren, Gong Su, Arun Iyengar
iBalloon: Efficient VM Memory Balancing as a Service. ICWS (2016)
Jiangchun Ren, Ling Liu, Da Zhang, Huaizhe Zhou, Qi Zhang
ESI-Cloud: Extending Virtual Machine Introspection for Integrating Multiple Security Services. SCC (2016)
Qi Zhang, Ling Liu
Workload Adaptive Shared Memory Management for High Performance Network I/O in Virtualized Cloud. IEEE Trans. Computers 65 (11) (2016)
Semih Sahin, Wenqi Cao, Qi Zhang, Ling Liu
JVM Configuration Management and Its Performance Impact for Big Data Applications. BigData Congress (2016)
Yang Zhou, Ling Liu, Calton Pu, Xianqiang Bao, Kisung Lee, Balaji Palanisamy, Emre Yigitoglu, Qi Zhang
Clustering Service Networks with Entity, Attribute, and Link Heterogeneity. ICWS (2015)
Yang Zhou, Ling Liu, Kisung Lee, Calton Pu, Qi Zhang
Fast Iterative Graph Computation with Resource Aware Graph Parallel Abstractions. HPDC (2015)
Yang Zhou, Ling Liu, Kisung Lee, Qi Zhang
GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations. Proc. VLDB Endow. 8 (11) (2015)
Xianqiang Bao, Ling Liu, Nong Xiao, Yang Zhou, Qi Zhang
Policy-Driven Configuration Management for NoSQL. CLOUD (2015)
Qi Zhang, Ling Liu
Shared Memory Optimization in Virtualized Cloud. CLOUD (2015)
Kisung Lee, Ling Liu, Karsten Schwan, Calton Pu, Qi Zhang, Yang Zhou, Emre Yigitoglu, Pingpeng Yuan
Scaling iterative graph computations with GraphMap. SC (2015)
Qi Zhang, Ling Liu, Kisung Lee, Yang Zhou, Aameek Singh, NagaPramod Mandagere, Sandeep Gopisetty, Gabriel Alatorre
Improving Hadoop Service Provisioning in a Geographically Distributed Cloud. IEEE CLOUD (2014)
Yuzhe Richard Tang, Ling Liu, Arun Iyengar, Kisung Lee, Qi Zhang
e-PPI: Locator Service in Information Networks with Personalized Privacy Preservation. ICDCS (2014)
Xianqiang Bao, Ling Liu, Nong Xiao, Fang Liu, Qi Zhang, Tao Zhu
HConfig: Resource adaptive fast bulk loading in HBase. CollaborateCom (2014)
Xu Zhao, Ling Liu, Qi Zhang, Xiaoshe Dong
Improving MapReduce Performance in a Heterogeneous Cloud: A Measurement Study. IEEE CLOUD (2014)
Qi Zhang, Ling Liu, Yi Ren, Kisung Lee, Yuzhe Richard Tang, Xu Zhao, Yang Zhou
Residency Aware Inter-VM Communication in Virtualized Cloud: Performance Measurement and Analysis. IEEE CLOUD (2013)
Kisung Lee, Ling Liu, Yuzhe Richard Tang, Qi Zhang, Yang Zhou
Efficient and Customizable Data Partitioning Framework for Distributed Big RDF Data Processing in the Cloud. IEEE CLOUD (2013)
Dingding Li, Xiaofei Liao, Hai Jin, Bing Bing Zhou, Qi Zhang
A New Disk I/O Model of Virtualized Cloud Environment. IEEE Trans. Parallel Distributed Syst. 24 (6) (2013)
Qi Zhang, Hai Jin, Xiaofei Liao, Dingding Li, Wei Deng
FIOS: a flexible virtualized I/O subsystem to alleviate interference among virtual machines. ICUIMC (2012)

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Publication Activity (10 Years)

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Qi Zhang