Scalable Keyword-Based Data Retrievals in Future Content-Centric Networks. - Ying Mao 001; Bo Sheng; Mooi Choo Chuah (MSN, 2012)

FRESH: Fair and Efficient Slot Configuration and Scheduling for Hadoop Clusters. - Jiayin Wang; Yi Yao; Ying Mao 001; Bo Sheng; Ningfang Mi (IEEE CLOUD, 2014)

DAB: Dynamic and Agile Buffer-control for Streaming Videos on Mobile Devices. - Ying Mao 001; Jiayin Wang; Bo Sheng (FNC/MobiSPC, 2014)

Skyfiles: Efficient and secure cloud-assisted file management for mobile devices. - Ying Mao 001; Jiayin Wang; Bo Sheng (ICC, 2014)

PASA: Passive broadcast for smartphone ad-hoc networks. - Ying Mao 001; Jiayin Wang; Joseph Paul Cohen; Bo Sheng (ICCCN, 2014)

LAAR: Long-Range Radio Assisted Ad-Hoc Routing in MANETs. - Ying Mao 001; Jiayin Wang; Bo Sheng; Mooi Choo Chuah (ICNP, 2014)

Building smartphone Ad-Hoc networks with long-range radios. - Ying Mao 001; Jiayin Wang; Bo Sheng; Fan Wu (IPCCC, 2015)

OMO: Optimize MapReduce overlap with a good start (reduce) and a good finish (map). - Jiayin Wang; Yi Yao; Ying Mao 001; Bo Sheng; Ningfang Mi (IPCCC, 2015)

Mobile Message Board: Location-based message dissemination in wireless ad-hoc networks. - Ying Mao 001; Jiayin Wang; Bo Sheng (ICNC, 2016)

EDOS: Edge Assisted Offloading System for Mobile Devices. - Hank H. Harvey; Ying Mao 001; Yantian Hou; Bo Sheng (ICCCN, 2017)

SEINA: A stealthy and effective internal attack in Hadoop systems. - Jiayin Wang; Teng Wang; Zhengyu Yang 001; Ying Mao 001; Ningfang Mi; Bo Sheng (ICNC, 2017)

DRAPS: Dynamic and resource-aware placement scheme for docker containers in a heterogeneous cluster. - Ying Mao 001; Jenna Oak; Anthony Pompili; Daniel Beer; Tao Han 002; Peizhao Hu (IPCCC, 2017)

DRESS: Dynamic RESource-Reservation Scheme for Congested Data-Intensive Computing Platforms. - Ying Mao 001; Victoria Green; Jiayin Wang; Haoyi Xiong; Zhishan Guo (IEEE CLOUD, 2018)

MAC-Layer Rate Control for 802.11 Networks: Lesson Learned and Looking Forward. - Wei Yin 002; Peizhao Hu; Jadwiga Indulska; Marius Portmann; Ying Mao 001 (CoRR, 2018)

Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster. - Yuqi Fu; Shaolun Zhang; Jose Terrero; Ying Mao 001; Guangya Liu; Sheng Li 001; Dingwen Tao (IEEE BigData, 2019)

Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System. - Wenjia Zheng; Yun Song; Zihao Guo; Yongchen Cui; Suwen Gu; Ying Mao 001; Long Cheng 003 (HPEC, 2019)

FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications. - Wenjia Zheng; Michael Tynes; Henry Gorelick; Ying Mao 001; Long Cheng 003; Yantian Hou (ICPP, 2019)

Edge-Assisted Image Processing with Joint Optimization of Responding and Placement Strategy. - Anil Acharya; Yantian Hou; Ying Mao 001; Jiawei Yuan (iThings/GreenCom/CPSCom/SmartData, 2019)

Workload-Aware Task Placement in Edge-Assisted Human Re-identification. - Anil Acharya; Yantian Hou; Ying Mao 001; Min Xian; Jiawei Yuan (SECON, 2019)

Quantum-Inspired Classical Algorithm for Principal Component Regression. - Daniel Chen 005; Yekun Xu; Betis Baheri; Chuan Bi; Ying Mao 001; Qiang Quan; Shuai Xu (CoRR, 2020)

Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes. - Ying Mao 001; Yuqi Fu; Suwen Gu; Sudip Vhaduri; Long Cheng 003; Qingzhi Liu (CoRR, 2020)

Differentiate Quality of Experience Scheduling for Deep Learning Applications with Docker Containers in the Cloud. - Ying Mao 001; Weifeng Yan; Yun Song; Yue Zeng; Ming Chen; Long Cheng 003; Qingzhi Liu (CoRR, 2020)

Enhancing Cloud Storage with Shareable Instances for Social Computing. - Ying Mao 001; Peizhao Hu (CoRR, 2020)

Quantum-Inspired Classical Algorithm for Slow Feature Analysis. - Daniel Chen 005; Yekun Xu; Betis Baheri; Samuel Alexander Stein; Chuan Bi; Ying Mao 001; Qiang Quan; Shuai Xu (CoRR, 2020)

A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems. - Xuan Chen; Long Cheng 003; Cong Liu 012; Qingzhi Liu; Jinwei Liu; Ying Mao 001; John Murphy 001 (IEEE Syst. J., 2020)

MAC-layer rate control for 802.11 networks: a survey. - Wei Yin 002; Peizhao Hu; Jadwiga Indulska; Marius Portmann; Ying Mao 001 (Wirel. Networks, 2020)

TQEA: Temporal Quantum Error Analysis. - Betis Baheri; Daniel Chen 005; Bo Fang 002; Samuel Alexander Stein; Vipin Chaudhary; Ying Mao 001; Shuai Xu; Ang Li 006; Qiang Guan (DSN (Supplements), 2021)

A Hybrid System for Learning Classical Data in Quantum States. - Samuel Alexander Stein; Ryan L'Abbate; Wenrui Mu; Yue Liu; Betis Baheri; Ying Mao 001; Qiang Guan; Ang Li 006; Bo Fang 002 (IPCCC, 2021)

Quantum Machine Learning for Electricity Theft Detection: an Initial Investigation. - Lianting Xue; Long Cheng 003; Yuancheng Li; Ying Mao 001 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2021)

QuGAN: A Quantum State Fidelity based Generative Adversarial Network. - Samuel Alexander Stein; Betis Baheri; Daniel Chen 005; Ying Mao 001; Qiang Guan; Ang Li 006; Bo Fang 002; Shuai Xu (QCE, 2021)

Optimizing Internal Overlaps by Self-Adjusting Resource Allocation in Multi-Stage Computing Systems. - Allen Yang; Jiayin Wang; Ying Mao 001; Yi Yao; Ningfang Mi; Bo Sheng (IEEE Access, 2021)

Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers. - Long Cheng 003; Ying Wang 001; Qingzhi Liu; Dick H. J. Epema; Cheng Liu 008; Ying Mao 001; John Murphy 001 (IEEE Trans. Parallel Distributed Syst., 2021)

QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation. - Samuel Alexander Stein; Ying Mao 001; James A. Ang; Ang Li 006 (SEC, 2022)

Performance Evaluation of Resource Management Schemes for Cloud Native Platforms with Computing Containers. - Yuqi Fu; Naseem Machlovi; Ying Mao 001; Jiayin Wang; Long Cheng 003; Qingzhi Liu (IPCCC, 2022)

Iterative Qubits Management for Quantum Index Searching in a Hybrid System. - Wenrui Mu; Ying Mao 001; Long Cheng 003; Qingle Wang; Weiwen Jiang; Pin-Yu Chen (IPCCC, 2022)

QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity. - Samuel Alexander Stein; Betis Baheri; Daniel Chen 005; Ying Mao 001; Qiang Guan; Ang Li 006; Shuai Xu; Caiwen Ding (MLSys, 2022)

Pinpointing the System Reliability Degradation in NISQ Machines. - Betis Baheri; Zixuan Xu; Vipin Chaudhary; Ying Mao 001; Bo Fang 002; Shuai Xu; Qiang Guan (QCE, 2022)

VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing. - Shaolun Ruan; Yong Wang 021; Weiwen Jiang; Ying Mao 001; Qiang Guan (CoRR, 2022)

Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster. - Ying Mao 001; Yuqi Fu; Wenjia Zheng; Long Cheng 003; Qingzhi Liu; Dingwen Tao (IEEE Syst. J., 2022)

Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems. - Qingzhi Liu; Tiancong Xia; Long Cheng 003; Merijn van Eijk; Tanir Ozcelebi; Ying Mao 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Distributed Quantum Learning with co-Management in a Multi-tenant Quantum System. - Anthony D'Onofrio Jr.; Amir Hossain; Lesther Santana; Naseem Machlovi; Samuel Alexander Stein; Jinwei Liu; Ang Li 006; Ying Mao 001 (IEEE Big Data, 2023)

Sailfish: A Dependency-Aware and Resource Efficient Scheduling for Low Latency in Clouds. - Jinwei Liu; Yingjie Lao; Ying Mao 001; Rajkumar Buyya (IEEE Big Data, 2023)

HCoop: A Cooperative and Hybrid Resource Scheduling for Heterogeneous Jobs in Clouds. - Jinwei Liu; Rui Gong; Wei Dai; Wei Zheng; Ying Mao 001; Wei Zhou; Feng Deng (CloudCom, 2023)

VENUS: A Geometrical Representation for Quantum State Visualization. - Shaolun Ruan; Ribo Yuan; Yong Wang 021; Yanna Lin; Ying Mao 001; Weiwen Jiang; Zhepeng Wang 001; Wei Xu 020; Qiang Guan (CoRR, 2023)

Elastic Resource Management for Deep Learning Applications in a Container Cluster. - Ying Mao 001; Vaishali Sharma; Wenjia Zheng; Long Cheng 003; Qiang Guan; Ang Li 006 (IEEE Trans. Cloud Comput., 2023)

Differentiate Quality of Experience Scheduling for Deep Learning Inferences With Docker Containers in the Cloud. - Ying Mao 001; Weifeng Yan; Yun Song; Yue Zeng; Ming Chen; Long Cheng 003; Qingzhi Liu (IEEE Trans. Cloud Comput., 2023)

: A isualization pproah for Noie Awarenss in Quatum Computing. - Shaolun Ruan; Yong Wang 021; Weiwen Jiang; Ying Mao 001; Qiang Guan (IEEE Trans. Vis. Comput. Graph., 2023)

VENUS: A Geometrical Representation for Quantum State Visualization. - Shaolun Ruan; Ribo Yuan; Qiang Guan; Yanna Lin; Ying Mao 001; Weiwen Jiang; Zhepeng Wang 001; Wei Xu 020; Yong Wang 021 (Comput. Graph. Forum, 2023)

Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning. - Jingwei Zhang; Long Cheng 003; Cong Liu 012; Zhiming Zhao; Ying Mao 001 (Expert Syst. Appl., 2023)

Toward Network-Aware Query Execution Systems in Large Datacenters. - Long Cheng 003; Ying Wang 001; Rutvij H. Jhaveri; Qingle Wang; Ying Mao 001 (IEEE Trans. Netw. Serv. Manag., 2023)

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers. - Khalifa Afane; Wenqi Wei 001; Ying Mao 001; Junaid Farooq 001; Juntao Chen (IEEE Big Data, 2024)

Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. - Xueqing Zhang; Junkai Zhang; Ka-Ho Chow; Juntao Chen; Ying Mao 001; Mohamed Rahouti; Xiang Li; Yuchen Liu 001; Wenqi Wei 001 (ICDCS, 2024)

Scalable Circuit Cutting and Scheduling in a Resource-Constrained and Distributed Quantum System. - Shuwen Kan; Zefan Du; Miguel Palma; Samuel Alexander Stein; Chenxu Liu; Wenqi Wei 001; Juntao Chen; Ang Li 006; Ying Mao 001 (QCE, 2024)

Benchmarking Optimizers for Qumode State Preparation with Variational Quantum Algorithms. - Shuwen Kan; Miguel Palma; Zefan Du; Samuel Alexander Stein; Chenxu Liu; Juntao Chen; Ang Li 006; Ying Mao 001 (QCE, 2024)

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity. - Ryan L'Abbate; Anthony D'Onofrio Jr.; Samuel Alexander Stein; Samuel Yen-Chi Chen; Ang Li 006; Pin-Yu Chen; Juntao Chen; Ying Mao 001 (CoRR, 2024)

Resource-Efficient and Self-Adaptive Quantum Search in a Quantum-Classical Hybrid System. - Zihao Jiang 010; Zefan Du; Shaolun Ruan; Juntao Chen; Yong Wang 021; Long Cheng 003; Rajkumar Buyya; Ying Mao 001 (CoRR, 2024)

Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning. - Xueqing Zhang; Junkai Zhang; Ka-Ho Chow; Juntao Chen; Ying Mao 001; Mohamed Rahouti; Xiang Li; Yuchen Liu 001; Wenqi Wei 001 (CoRR, 2024)

Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems. - Zefan Du; Yanni Li; Zijian Mo; Wenqi Wei 001; Juntao Chen; Rajkumar Buyya; Ying Mao 001 (CoRR, 2024)

Circuit Folding: Modular and Qubit-Level Workload Management in Quantum-Classical Systems. - Shuwen Kan; Yanni Li; Hao Wang; Sara Mouradian; Ying Mao 001 (CoRR, 2024)

Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs. - Zefan Du; Wenrui Zhang; Wenqi Wei 001; Juntao Chen; Tao Han 002; Zhiding Liang; Ying Mao 001 (CoRR, 2024)

Privacy and Integrity Protection for IoT Multimodal Data Using Machine Learning and Blockchain. - Qingzhi Liu; Yuchen Huang; Chenglu Jin; Xiaohan Zhou; Ying Mao 001; Cagatay Catal; Long Cheng 003 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

QuantumEyes: Towards Better Interpretability of Quantum Circuits. - Shaolun Ruan; Qiang Guan; Paul Griffin; Ying Mao 001; Yong Wang 021 (IEEE Trans. Vis. Comput. Graph., 2024)

Editorial: Neural network models in autonomous robotics. - Long Cheng 003; Ying Mao 001; Tomás Ward (Frontiers Neurorobotics, 2025)

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks. - Rahul Kumar; Wenqi Wei 001; Ying Mao 001; Junaid Farooq 001; Ying Wang 001; Juntao Chen (CoRR, 2025)

Quantum Reinforcement Learning for QoS-Aware Real-Time Job Scheduling in Cloud Systems. - Shuhong Dai; Nishant Saurabh; Qingle Wang; Jiawei Nian; Shuwen Kan; Ying Mao 001; Long Cheng 003 (IEEE Syst. J., 2025)