De-Anonymization of Networks with Communities: When Quantifications Meet Algorithms. - Xinzhe Fu; Zhongzhao Hu; Zhiying Xu; Luoyi Fu; Xinbing Wang (GLOBECOM, 2017)

Complexity vs. optimality: Unraveling source-destination connection in uncertain graphs. - Xinzhe Fu; Zhiying Xu; Qianyang Peng; Luoyi Fu; Xinbing Wang (INFOCOM, 2017)

ConMap: A Novel Framework for Optimizing Multicast Energy in Delay-constrained Mobile Wireless Networks. - Xinzhe Fu; Zhiying Xu; Qianyang Peng; Jie You; Luoyi Fu; Xinbing Wang; Songwu Lu (MobiHoc, 2017)

Evolving K-Graph: Modeling Hybrid Interactions in Networks. - Jiaqi Liu 002; Yuhang Yao; Xinzhe Fu; Luoyi Fu; Xiao-Yang Liu; Xinbing Wang (MobiHoc, 2017)

De-anonymization of Social Networks with Communities: When Quantifications Meet Algorithms. - Xinzhe Fu; Zhongzhao Hu; Zhiying Xu; Luoyi Fu; Xinbing Wang (CoRR, 2017)

De-anonymizing Social Networks with Overlapping Community Structure. - Luoyi Fu; Xinyu Wu; Zhongzhao Hu; Xinzhe Fu; Xinbing Wang (CoRR, 2017)

Distributed Multicast Tree Construction in Wireless Sensor Networks. - Hongyu Gong; Luoyi Fu; Xinzhe Fu; Lutian Zhao; Kainan Wang; Xinbing Wang (IEEE Trans. Inf. Theory, 2017)

Determining Source-Destination Connectivity in Uncertain Networks: Modeling and Solutions. - Luoyi Fu; Xinzhe Fu; Zhiying Xu; Qianyang Peng; Xinbing Wang; Songwu Lu (IEEE/ACM Trans. Netw., 2017)

Social Network De-anonymization with Overlapping Communities: Analysis, Algorithm and Experiments. - Xinyu Wu; Zhongzhao Hu; Xinzhe Fu; Luoyi Fu; Xinbing Wang; Songwu Lu (INFOCOM, 2018)

Joint Optimization of Multicast Energy in Delay-Constrained Mobile Wireless Networks. - Luoyi Fu; Xinzhe Fu; Zesen Zhang; Zhiying Xu; Xudong Wu; Xinbing Wang; Songwu Lu (IEEE/ACM Trans. Netw., 2018)

GLP: A Novel Framework for Group-Level Location Promotion in Geo-Social Networks. - Xudong Wu; Luoyi Fu; Yuhang Yao; Xinzhe Fu; Xinbing Wang; Guihai Chen (IEEE/ACM Trans. Netw., 2018)

A Latent Hawkes Process Model for Event Clustering and Temporal Dynamics Learning with Applications in GitHub. - Shengzhong Liu; Shuochao Yao; Dongxin Liu; Huajie Shao; Yiran Zhao 001; Xinzhe Fu; Tarek F. Abdelzaher (ICDCS, 2019)

Network Interdiction Using Adversarial Traffic Flows. - Xinzhe Fu; Eytan H. Modiano (INFOCOM, 2019)

Fundamental Limits of Volume-based Network DoS Attacks. - Xinzhe Fu; Eytan H. Modiano (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Modeling, Analysis and Validation of Evolving Networks With Hybrid Interactions. - Jiaqi Liu 002; Luoyi Fu; Yuhang Yao; Xinzhe Fu; Xinbing Wang; Guihai Chen (IEEE/ACM Trans. Netw., 2019)

On Removing Algorithmic Priority Inversion from Mission-critical Machine Inference Pipelines. - Shengzhong Liu; Shuochao Yao; Xinzhe Fu; Rohan Tabish; Simon Yu; Ayoosh Bansal; Heechul Yun; Lui Sha; Tarek F. Abdelzaher (RTSS, 2020)

Elastic job scheduling with unknown utility functions. - Xinzhe Fu; Eytan H. Modiano (Perform. Evaluation, 2021)

Joint Learning and Control in Stochastic Queueing Networks with Unknown Utilities. - Xinzhe Fu; Eytan H. Modiano (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency. - Shengzhong Liu; Tianshi Wang; Hongpeng Guo; Xinzhe Fu; Philip David; Maggie B. Wigness; Archan Misra; Tarek F. Abdelzaher (ICDCS, 2022)

Optimal Routing for Stream Learning Systems. - Xinzhe Fu; Eytan H. Modiano (INFOCOM, 2022)

An Optimal Network Control Framework for Wireless SDN: From Theory to Implementation. - Quang Minh Nguyen; M. Shahir Rahman; Xinzhe Fu; Sastry Kompella; Joseph P. Macker; Eytan H. Modiano (MILCOM, 2022)

Self-Cueing Real-Time Attention Scheduling in Criticality-Aware Visual Machine Perception. - Shengzhong Liu; Xinzhe Fu; Maggie B. Wigness; Philip David; Shuochao Yao; Lui Sha; Tarek F. Abdelzaher (RTAS, 2022)

Real-Time Task Scheduling for Machine Perception in Intelligent Cyber-Physical Systems. - Shengzhong Liu; Shuochao Yao; Xinzhe Fu; Huajie Shao; Rohan Tabish; Simon Yu; Ayoosh Bansal; Heechul Yun; Lui Sha; Tarek F. Abdelzaher (IEEE Trans. Computers, 2022)

Learning-NUM: Network Utility Maximization With Unknown Utility Functions and Queueing Delay. - Xinzhe Fu; Eytan H. Modiano (IEEE/ACM Trans. Netw., 2022)

A Learning Approach to Minimum Delay Routing in Stochastic Queueing Networks. - Xinzhe Fu; Eytan H. Modiano (INFOCOM, 2023)

Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing. - Shengzhong Liu; Xinzhe Fu; Yigong Hu; Maggie B. Wigness; Philip David; Shuochao Yao; Lui Sha; Tarek F. Abdelzaher (Real Time Syst., 2023)

Optimal Routing to Parallel Servers With Unknown Utilities - Multi-Armed Bandit With Queues. - Xinzhe Fu; Eytan H. Modiano (IEEE/ACM Trans. Netw., 2023)

FLEX: Adaptive Task Batch Scheduling with Elastic Fusion in Multi-Modal Multi-View Machine Perception. - Yuhang Xu; Zixuan Liu; Xinzhe Fu; Shengzhong Liu; Fan Wu 006; Guihai Chen (RTSS, 2024)

Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines. - Shengzhong Liu; Shuochao Yao; Xinzhe Fu; Rohan Tabish; Simon Yu; Ayoosh Bansal; Heechul Yun; Lui Sha; Tarek F. Abdelzaher (Commun. ACM, 2024)