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)

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

A Survey of Blockchain Applications in Different Domains. - Wubing Chen; Zhiying Xu; Shuyu Shi; Yang Zhao 017; Jun Zhao 007 (ICBTA, 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)

An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning. - Zhiying Xu; Shuyu Shi; Alex X. Liu; Jun Zhao 007; Lin Chen (INFOCOM, 2020)

Automating Botnet Detection with Graph Neural Networks. - Jiawei Zhou; Zhiying Xu; Alexander M. Rush; Minlan Yu (CoRR, 2020)

Seeking the Truth in a Decentralized Manner. - Luoyi Fu; Jiasheng Xu; Shan Qu; Zhiying Xu; Xinbing Wang; Guihai Chen (IEEE/ACM Trans. Netw., 2021)

Xatu: boosting existing DDoS detection systems using auxiliary signals. - Zhiying Xu; Sivaramakrishnan Ramanathan; Alexander M. Rush; Jelena Mirkovic; Minlan Yu (CoNEXT, 2022)

ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations. - Zhiying Xu; Jiafan Xu; Hongding Peng; Wei Wang 002; Xiaoliang Wang 001; Haoran Wan; Haipeng Dai 001; Yixu Xu; Hao Cheng 004; Kun Wang 005; Guihai Chen (CoRR, 2022)

Teal: Learning-Accelerated Optimization of Traffic Engineering. - Zhiying Xu; Francis Y. Yan; Rachee Singh; Justin T. Chiu; Alexander M. Rush; Minlan Yu (CoRR, 2022)

Assessing the implementation feasibility of intelligent production systems based on cloud computing, industrial internet of things and business social networks. - Jiabao Sun; Ting Yang; Zhiying Xu (Kybernetes, 2022)

MINA: Auto-scale In-network Aggregation for Machine Learning Service. - Shichen Dong; Zhixiong Niu; Mingchao Zhang; Zhiying Xu; Chuntao Hu; Wei Wang 002; Pengzhi Zhu; Qingchun Song; Lei Qu; Peng Cheng 005; Yongqiang Xiong; Chen Tian 001; et al. (APNet, 2023)

ALT: Breaking the Wall between Data Layout and Loop Optimizations for Deep Learning Compilation. - Zhiying Xu; Jiafan Xu; Hongding Peng; Wei Wang 002; Xiaoliang Wang 001; Haoran Wan; Haipeng Dai 001; Yixu Xu; Hao Cheng 004; Kun Wang 005; Guihai Chen (EuroSys, 2023)

AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization. - Zhiying Xu; Hongding Peng; Wei Wang 002 (INFOCOM, 2023)

Teal: Learning-Accelerated Optimization of WAN Traffic Engineering. - Zhiying Xu; Francis Y. Yan; Rachee Singh; Justin T. Chiu; Alexander M. Rush; Minlan Yu (SIGCOMM, 2023)

XFC: Enabling automatic and fast operator synthesis for mobile deep learning compilation. - Zhiying Xu; Wei Wang 002; Haipeng Dai 001; Yixu Xu (J. Syst. Archit., 2023)

Zeal: Rethinking Large-Scale Resource Allocation with "Decouple and Decompose". - Zhiying Xu; Francis Y. Yan; Minlan Yu (CoRR, 2024)

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics. - Jiawei Zhou; Woojeong Kim; Zhiying Xu; Alexander M. Rush; Minlan Yu (CoRR, 2024)

FPE2M2: Approaching Lossless and Efficient Quantization with Native Floating Point. - Ke Yi 003; Jianwei Zhang 012; Zhiying Xu; Xinlong Yang; Yang Zhou; Minmin Sun; Zengke Liu; Tong Zhang 015; Junyang Lin; Jingren Zhou 001 (ACL (Findings), 2025)

Mina: Fine-Grained In-network Aggregation Resource Scheduling for Machine Learning Service. - Shichen Dong; Zhixiong Niu; Mingchao Zhang; Zhiying Xu; Chuntao Hu; Pengzhi Zhu; Qingchun Song; Lei Qu; Peng Cheng 005; Cam-Tu Nguyen; Shaoling Sun; Xiaohu Xu; et al. (INFOCOM, 2025)

Decouple and Decompose: Scaling Resource Allocation with DeDe. - Zhiying Xu; Minlan Yu; Francis Y. Yan (OSDI, 2025)

Qwen2.5-1M Technical Report. - An Yang; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoyan Huang; Jiandong Jiang; Jianhong Tu; Jianwei Zhang 012; Jingren Zhou 001; Junyang Lin; Kai Dang; et al. (CoRR, 2025)

An Extensible Software Transport Layer for GPU Networking. - Yang Zhou; Zhongjie Chen; Ziming Mao; ChonLam Lao; Shuo Yang; Pravein Govindan Kannan; Jiaqi Gao; Yilong Zhao; Yongji Wu; Kaichao You; Fengyuan Ren; Zhiying Xu; et al. (CoRR, 2025)

LEANN: A Low-Storage Vector Index. - Yichuan Wang; Shu Liu; Zhifei Li; Yongji Wu; Ziming Mao; Yilong Zhao; Xiao Yan; Zhiying Xu; Yang Zhou; Ion Stoica; Sewon Min; Matei Zaharia; et al. (CoRR, 2025)