iRank: Supporting Proximity Ranking for Peer-to-Peer Applications. - Yongquan Fu; Yijie Wang 001 (ICPADS, 2009)

HyperSpring: Accurate and Stable Latency Estimation in the Hyperbolic Space. - Yongquan Fu; Yijie Wang 001 (ICPADS, 2009)

HybridNN: Supporting Network Location Service on Generalized Delay Metrics - Yongquan Fu; Yijie Wang 001; Ernst W. Biersack (CoRR, 2011)

On the feasibility of common-friend measurements for the distributed online social networks. - Yongquan Fu; Yijie Wang 001 (CHINACOM, 2012)

BCE: A privacy-preserving common-friend estimation method for distributed online social networks without cryptography. - Yongquan Fu; Yijie Wang 001 (CHINACOM, 2012)

BLOR: Bandwidth and Latency Sensitive Overlay Routing for Flash Data Dissemination. - Xiaoyong Li 002; Yijie Wang 001; Yongquan Fu; Xiaoling Li 002; Weidong Sun (IPDPS Workshops, 2012)

DKNNS: Scalable and accurate distributed K nearest neighbor search for latency-sensitive applications. - Yongquan Fu; Yijie Wang 001 (Sci. China Inf. Sci., 2013)

A general scalable and accurate decentralized level monitoring method for large-scale dynamic service provision in hybrid clouds. - Yongquan Fu; Yijie Wang 001; Ernst W. Biersack (Future Gener. Comput. Syst., 2013)

HybridNN: An accurate and scalable network location service based on the inframetric model. - Yongquan Fu; Yijie Wang 001; Ernst W. Biersack (Future Gener. Comput. Syst., 2013)

MCRTREE: A Mutually Cooperative Recovery Scheme for Multiple Losses in Distributed Storage Systems Based on Tree Structure. - Xiaoqiang Pei; Yijie Wang 001; Xingkong Ma; Yongquan Fu; Fangliang Xu (NAS, 2014)

A Discrete Data Dividing Approach for Erasure-Code-Based Storage Applications. - Weidong Sun; Yijie Wang 001; Yongquan Fu; Xiaoqiang Pei (SOSE, 2014)

CommonFinder: A decentralized and privacy-preserving common-friend measurement method for the distributed online social networks. - Yongquan Fu; Yijie Wang 001; Wei Peng 005 (Comput. Networks, 2014)

Towards Latency-Optimal Distributed Relay Selection. - Yongquan Fu; Yijie Wang 001; Xiaoqiang Pei (CCGRID, 2015)

Cooperative repair based on tree structure for multiple failures in distributed storage systems with regenerating codes. - Xiaoqiang Pei; Yijie Wang 001; Xingkong Ma; Yongquan Fu; Fangliang Xu (Conf. Computing Frontiers, 2015)

Tree-structured Bloom Filters for Joint Optimization of False Positive Probability and Transmission Bandwidth. - Yongquan Fu; Ernst W. Biersack (SIGMETRICS, 2015)

BLOR: An efficient bandwidth and latency sensitive overlay routing approach for flash data dissemination. - Xiaoyong Li 002; Yijie Wang 001; Yongquan Fu; Xiaoling Li 002; Weidong Sun (Concurr. Comput. Pract. Exp., 2015)

False-Positive Probability and Compression Optimization for Tree-Structured Bloom Filters. - Yongquan Fu; Ernst W. Biersack (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016)

MCR: Structure-Aware Overlay-Based Latency-Optimal Greedy Relay Search. - Yongquan Fu; Ernst W. Biersack (IEEE/ACM Trans. Netw., 2017)

Self-Stabilized Distributed Network Distance Prediction. - Yongquan Fu; Xiaoping Xu (IEEE/ACM Trans. Netw., 2017)

A Network-embedding Based Method for Author Disambiguation. - Jun Xu; Siqi Shen; Dongsheng Li 001; Yongquan Fu (CIKM, 2018)

Every Timestamp Counts: Accurate Tracking of Network Latencies Using Reconcilable Difference Aggregator. - Yongquan Fu; Pere Barlet-Ros; Dongsheng Li 001 (IEEE/ACM Trans. Netw., 2018)

Author Disambiguation through Adversarial Network Representation Learning. - Liwen Peng; Siqi Shen; Dongsheng Li 001; Jun Xu; Yongquan Fu; Huayou Su (IJCNN, 2019)

Resilient Disaggregated Network Flow Monitoring. - Yongquan Fu; Dongsheng Li 001; Siqi Shen; Yiming Zhang 003; Kai Chen 005 (SIGCOMM Posters and Demos, 2019)

User Donations in a User Generated Video System. - Adele Lu Jia; Xiaoxue Shen; Siqi Shen; Yongquan Fu; Liwen Peng (WWW (Companion Volume), 2019)

Diting: An Author Disambiguation Method Based on Network Representation Learning. - Liwen Peng; Siqi Shen; Jun Xu; Yongquan Fu; Dongsheng Li 001; Adele Lu Jia (IEEE Access, 2019)

Locality-Sensitive Sketching for Resilient Network Flow Monitoring. - Yongquan Fu; Dongsheng Li 001; Siqi Shen; Yiming Zhang 003; Kai Chen 005 (CoRR, 2019)

A Skewness-Aware Matrix Factorization Approach for Mesh-Structured Cloud Services. - Yongquan Fu; Dongsheng Li 001; Pere Barlet-Ros; Chun Huang; Zhen Huang 006; Siqi Shen; Huayou Su (IEEE/ACM Trans. Netw., 2019)

Learning Network Representation Through Reinforcement Learning. - Siqi Shen; Yongquan Fu; Adele Lu Jia; Huayou Su; Qinglin Wang; Chengsong Wang; Yong Dou (ICASSP, 2020)

Clustering-preserving Network Flow Sketching. - Yongquan Fu; Dongsheng Li 001; Siqi Shen; Yiming Zhang 003; Kai Chen 005 (INFOCOM, 2020)

Recent Trends in Deep Learning Based Open-Domain Textual Question Answering Systems. - Zhen Huang 006; Shiyi Xu; Minghao Hu; Xinyi Wang; Jinyan Qiu; Yongquan Fu; Yuncai Zhao; Yuxing Peng 001; Changjian Wang (IEEE Access, 2020)

Nyström Approximation with Nonnegative Matrix Factorization. - Yongquan Fu (CoRR, 2020)

CASQ: Accelerate Distributed Deep Learning with Sketch-Based Gradient Quantization. - Keshi Ge; Yiming Zhang 003; Yongquan Fu; Zhiquan Lai; Xiaoge Deng; Dongsheng Li 001 (CLUSTER, 2021)

Graphcomm: A Graph Neural Network Based Method for Multi-Agent Reinforcement Learning. - Siqi Shen; Yongquan Fu; Huayou Su; Hengyue Pan; Peng Qiao; Yong Dou; Cheng Wang 003 (ICASSP, 2021)

Jellyfish: Locality-Sensitive Subflow Sketching. - Yongquan Fu; Lun An; Siqi Shen; Kai Chen 005; Pere Barlet-Ros (INFOCOM, 2021)

S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. - Keshi Ge; Yongquan Fu; Zhiquan Lai; Xiaoge Deng; Dongsheng Li 001 (CoRR, 2021)

CGNN: Traffic Classification with Graph Neural Network. - Bo Pang; Yongquan Fu; Siyuan Ren; Ye Wang 015; Qing Liao 001; Yan Jia 001 (CoRR, 2021)

S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. - Keshi Ge; Yongquan Fu; Yiming Zhang 003; Zhiquan Lai; Xiaoge Deng; Dongsheng Li 001 (ICASSP, 2022)

Qrelation: an Agent Relation-Based Approach for Multi-Agent Reinforcement Learning Value Function Factorization. - Siqi Shen; Jun Liu; Mengwei Qiu; Weiquan Liu; Cheng Wang 003; Yongquan Fu; Qinglin Wang; Peng Qiao (ICASSP, 2022)

Multi-Semantics Learning for Social Event Detection via Heterogeneous GNNs. - Yutao Huang; Ye Wang 015; Qing Liao 001; Yan Jia 001; Yongquan Fu (IJCNN, 2022)

Orchestrating Heterogeneous Cyber-range Event Chains With Serverless-container Workflow. - Yongquan Fu; Weihong Han; Dong Yuan 001 (MASCOTS, 2022)

ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization. - Siqi Shen; Mengwei Qiu; Jun Liu; Weiquan Liu; Yongquan Fu; Xinwang Liu; Cheng Wang 003 (NeurIPS, 2022)

Mercury: A High-Performance Streaming Graph Method for Broad and Deep Flow Inspection. - Siyuan Ren; Yongquan Fu; Bo Pang; Yan Jia 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

A Multi-Modal Approach For Context-Aware Network Traffic Classification. - Bo Pang; Yongquan Fu; Siyuan Ren; Siqi Shen; Ye Wang 015; Qing Liao 001; Yan Jia 001 (ICASSP, 2023)

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization. - Siqi Shen; Chennan Ma; Chao Li; Weiquan Liu; Yongquan Fu; Songzhu Mei; Xinwang Liu; Cheng Wang 003 (NeurIPS, 2023)

Compressed Collective Sparse-Sketch for Distributed Data-Parallel Training of Deep Learning Models. - Keshi Ge; Kai Lu 001; Yongquan Fu; Xiaoge Deng; Zhiquan Lai; Dongsheng Li 001 (IEEE J. Sel. Areas Commun., 2023)

Accelerating GNN Training by Adapting Large Graphs to Distributed Heterogeneous Architectures. - Lizhi Zhang; Kai Lu 001; Zhiquan Lai; Yongquan Fu; Yu Tang; Dongsheng Li 001 (IEEE Trans. Computers, 2023)

A One-Pass Clustering Based Sketch Method for Network Monitoring. - Yongquan Fu; Lun An; Siqi Shen; Kai Chen 005; Pere Barlet-Ros (IEEE/ACM Trans. Netw., 2023)

Disentangled Orchestration on Cyber Ranges. - Yongquan Fu; Weihong Han; Dong Yuan 001 (IEEE Trans. Dependable Secur. Comput., 2024)

MF2POSE: Multi-task Feature Fusion Pseudo-Siamese Network for intrusion detection using Category-distance Promotion Loss. - Jiawei Zhang; Rui Chen; Yanchun Zhang; Weihong Han; Zhaoquan Gu; Shuqiang Yang; Yongquan Fu (Knowl. Based Syst., 2024)

A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training. - Dongsheng Li 001; Shengwei Li; Zhiquan Lai; Yongquan Fu; Xiangyu Ye; Lei Cai; Linbo Qiao (IEEE Trans. Parallel Distributed Syst., 2024)

Comprehensive Deadlock Prevention for GPU Collective Communication. - Lichen Pan; Juncheng Liu; Yongquan Fu; Jinhui Yuan; Rongkai Zhang 005; Pengze Li; Zhen Xiao (EuroSys, 2025)

REAMP: A Redundancy Elimination System for AMP-GNN Acceleration. - Ziqi Wang; Yongquan Fu; Huayou Su (ICIC (21), 2025)

ORE: An Offline Redundancy Elimination System for GNN Acceleration. - Ziqi Wang; Yongquan Fu; Huayou Su (ICIC (22), 2025)

DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning. - Chao Li; Ziwei Deng; Chenxing Lin; Wenqi Chen; Yongquan Fu; Weiquan Liu; Chenglu Wen; Cheng Wang 003; Siqi Shen (ICLR, 2025)