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ORCIDYongquan Fu
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2020 – today
- 2024
[j18]Jiawei Zhang
, Rui Chen, Yanchun Zhang, Weihong Han, Zhaoquan Gu, Shuqiang Yang, Yongquan Fu:
MF2POSE: Multi-task Feature Fusion Pseudo-Siamese Network for intrusion detection using Category-distance Promotion Loss. Knowl. Based Syst. 283: 111110 (2024)- [j17]Yongquan Fu, Weihong Han, Dong Yuan:
Disentangled Orchestration on Cyber Ranges. IEEE Trans. Dependable Secur. Comput. 21(4): 2344-2360 (2024) - [j16]Dongsheng Li, Shengwei Li, Zhiquan Lai, Yongquan Fu, Xiangyu Ye, Lei Cai, Linbo Qiao:
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training. IEEE Trans. Parallel Distributed Syst. 35(4): 577-591 (2024) - 2023
- [j15]Keshi Ge, Kai Lu, Yongquan Fu, Xiaoge Deng, Zhiquan Lai, Dongsheng Li:
Compressed Collective Sparse-Sketch for Distributed Data-Parallel Training of Deep Learning Models. IEEE J. Sel. Areas Commun. 41(4): 941-963 (2023) - [j14]Lizhi Zhang, Kai Lu, Zhiquan Lai, Yongquan Fu, Yu Tang, Dongsheng Li:
Accelerating GNN Training by Adapting Large Graphs to Distributed Heterogeneous Architectures. IEEE Trans. Computers 72(12): 3473-3488 (2023) - [j13]Yongquan Fu, Lun An, Siqi Shen, Kai Chen, Pere Barlet-Ros:
A One-Pass Clustering Based Sketch Method for Network Monitoring. IEEE/ACM Trans. Netw. 31(6): 2604-2613 (2023) - [c27]Bo Pang, Yongquan Fu, Siyuan Ren, Siqi Shen, Ye Wang, Qing Liao, Yan Jia:
A Multi-Modal Approach For Context-Aware Network Traffic Classification. ICASSP 2023: 1-5 - [c26]Siqi Shen, Chennan Ma, Chao Li, Weiquan Liu, Yongquan Fu, Songzhu Mei, Xinwang Liu, Cheng Wang:
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization. NeurIPS 2023 - [i6]Siqi Shen, Chennan Ma, Chao Li, Weiquan Liu, Yongquan Fu, Songzhu Mei, Xinwang Liu, Cheng Wang:
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization. CoRR abs/2311.01753 (2023) - 2022
- [c25]Siqi Shen, Jun Liu, Mengwei Qiu, Weiquan Liu, Cheng Wang, Yongquan Fu, Qinglin Wang, Peng Qiao:
Qrelation: an Agent Relation-Based Approach for Multi-Agent Reinforcement Learning Value Function Factorization. ICASSP 2022: 4108-4112 - [c24]Keshi Ge, Yongquan Fu, Yiming Zhang, Zhiquan Lai, Xiaoge Deng, Dongsheng Li:
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. ICASSP 2022: 5233-5237 - [c23]Yutao Huang, Ye Wang, Qing Liao, Yan Jia, Yongquan Fu:
Multi-Semantics Learning for Social Event Detection via Heterogeneous GNNs. IJCNN 2022: 1-9 - [c22]Yongquan Fu, Weihong Han, Dong Yuan:
Orchestrating Heterogeneous Cyber-range Event Chains With Serverless-container Workflow. MASCOTS 2022: 97-104 - [c21]Siqi Shen, Mengwei Qiu, Jun Liu, Weiquan Liu, Yongquan Fu, Xinwang Liu, Cheng Wang:
ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization. NeurIPS 2022 - [c20]Siyuan Ren, Yongquan Fu, Bo Pang, Yan Jia:
Mercury: A High-Performance Streaming Graph Method for Broad and Deep Flow Inspection. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 596-603 - 2021
- [c19]Keshi Ge, Yiming Zhang, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li:
CASQ: Accelerate Distributed Deep Learning with Sketch-Based Gradient Quantization. CLUSTER 2021: 825-826 - [c18]Siqi Shen, Yongquan Fu, Huayou Su, Hengyue Pan, Peng Qiao, Yong Dou, Cheng Wang:
Graphcomm: A Graph Neural Network Based Method for Multi-Agent Reinforcement Learning. ICASSP 2021: 3510-3514 - [c17]Yongquan Fu, Lun An, Siqi Shen, Kai Chen, Pere Barlet-Ros:
Jellyfish: Locality-Sensitive Subflow Sketching. INFOCOM 2021: 1-10 - [i5]Keshi Ge, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li:
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. CoRR abs/2110.02140 (2021) - [i4]Bo Pang, Yongquan Fu, Siyuan Ren, Ye Wang, Qing Liao, Yan Jia:
CGNN: Traffic Classification with Graph Neural Network. CoRR abs/2110.09726 (2021) - 2020
- [j12]Zhen Huang, Shiyi Xu, Minghao Hu, Xinyi Wang, Jinyan Qiu, Yongquan Fu, Yuncai Zhao, Yuxing Peng, Changjian Wang:
Recent Trends in Deep Learning Based Open-Domain Textual Question Answering Systems. IEEE Access 8: 94341-94356 (2020) - [c16]Siqi Shen, Yongquan Fu, Adele Lu Jia, Huayou Su, Qinglin Wang, Chengsong Wang, Yong Dou:
Learning Network Representation Through Reinforcement Learning. ICASSP 2020: 3537-3541 - [c15]Yongquan Fu, Dongsheng Li, Siqi Shen, Yiming Zhang, Kai Chen:
Clustering-preserving Network Flow Sketching. INFOCOM 2020: 1309-1318 - [i3]Yongquan Fu:
Nyström Approximation with Nonnegative Matrix Factorization. CoRR abs/2008.03399 (2020)
2010 – 2019
- 2019
- [j11]Liwen Peng, Siqi Shen, Jun Xu, Yongquan Fu, Dongsheng Li, Adele Lu Jia:
Diting: An Author Disambiguation Method Based on Network Representation Learning. IEEE Access 7: 135539-135555 (2019) - [j10]Yongquan Fu, Dongsheng Li, Pere Barlet-Ros, Chun Huang, Zhen Huang, Siqi Shen, Huayou Su:
A Skewness-Aware Matrix Factorization Approach for Mesh-Structured Cloud Services. IEEE/ACM Trans. Netw. 27(4): 1598-1611 (2019) - [c14]Liwen Peng, Siqi Shen, Dongsheng Li, Jun Xu, Yongquan Fu, Huayou Su:
Author Disambiguation through Adversarial Network Representation Learning. IJCNN 2019: 1-8 - [c13]Yongquan Fu, Dongsheng Li, Siqi Shen, Yiming Zhang, Kai Chen:
Resilient Disaggregated Network Flow Monitoring. SIGCOMM Posters and Demos 2019: 54-56 - [c12]Adele Lu Jia, Xiaoxue Shen, Siqi Shen, Yongquan Fu, Liwen Peng:
User Donations in a User Generated Video System. WWW (Companion Volume) 2019: 1055-1062 - [i2]Yongquan Fu, Dongsheng Li, Siqi Shen, Yiming Zhang, Kai Chen:
Locality-Sensitive Sketching for Resilient Network Flow Monitoring. CoRR abs/1905.03113 (2019) - 2018
- [j9]Yongquan Fu, Pere Barlet-Ros, Dongsheng Li:
Every Timestamp Counts: Accurate Tracking of Network Latencies Using Reconcilable Difference Aggregator. IEEE/ACM Trans. Netw. 26(1): 90-103 (2018) - [c11]Jun Xu, Siqi Shen, Dongsheng Li, Yongquan Fu:
A Network-embedding Based Method for Author Disambiguation. CIKM 2018: 1735-1738 - 2017
- [j8]Yongquan Fu, Xiaoping Xu:
Self-Stabilized Distributed Network Distance Prediction. IEEE/ACM Trans. Netw. 25(1): 451-464 (2017) - [j7]Yongquan Fu, Ernst W. Biersack:
MCR: Structure-Aware Overlay-Based Latency-Optimal Greedy Relay Search. IEEE/ACM Trans. Netw. 25(5): 3016-3029 (2017) - 2016
- [j6]Yongquan Fu, Ernst W. Biersack:
False-Positive Probability and Compression Optimization for Tree-Structured Bloom Filters. ACM Trans. Model. Perform. Evaluation Comput. Syst. 1(4): 19:1-19:39 (2016) - 2015
- [j5]Xiaoyong Li, Yijie Wang, Yongquan Fu, Xiaoling Li, Weidong Sun:
BLOR: An efficient bandwidth and latency sensitive overlay routing approach for flash data dissemination. Concurr. Comput. Pract. Exp. 27(14): 3614-3632 (2015) - [c10]Yongquan Fu, Yijie Wang, Xiaoqiang Pei:
Towards Latency-Optimal Distributed Relay Selection. CCGRID 2015: 433-442 - [c9]Xiaoqiang Pei, Yijie Wang, Xingkong Ma, Yongquan Fu, Fangliang Xu:
Cooperative repair based on tree structure for multiple failures in distributed storage systems with regenerating codes. Conf. Computing Frontiers 2015: 14:1-14:8 - [c8]Yongquan Fu, Ernst W. Biersack:
Tree-structured Bloom Filters for Joint Optimization of False Positive Probability and Transmission Bandwidth. SIGMETRICS 2015: 437-438 - 2014
- [j4]Yongquan Fu, Yijie Wang, Wei Peng:
CommonFinder: A decentralized and privacy-preserving common-friend measurement method for the distributed online social networks. Comput. Networks 64: 369-389 (2014) - [c7]Xiaoqiang Pei, Yijie Wang, Xingkong Ma, Yongquan Fu, Fangliang Xu:
MCRTREE: A Mutually Cooperative Recovery Scheme for Multiple Losses in Distributed Storage Systems Based on Tree Structure. NAS 2014: 158-167 - [c6]Weidong Sun, Yijie Wang, Yongquan Fu, Xiaoqiang Pei:
A Discrete Data Dividing Approach for Erasure-Code-Based Storage Applications. SOSE 2014: 308-313 - 2013
- [j3]Yongquan Fu, Yijie Wang:
DKNNS: Scalable and accurate distributed K nearest neighbor search for latency-sensitive applications. Sci. China Inf. Sci. 56(3): 1-17 (2013) - [j2]Yongquan Fu, Yijie Wang, Ernst W. Biersack:
A general scalable and accurate decentralized level monitoring method for large-scale dynamic service provision in hybrid clouds. Future Gener. Comput. Syst. 29(5): 1235-1253 (2013) - [j1]Yongquan Fu, Yijie Wang, Ernst W. Biersack:
HybridNN: An accurate and scalable network location service based on the inframetric model. Future Gener. Comput. Syst. 29(6): 1485-1504 (2013) - 2012
- [c5]Yongquan Fu, Yijie Wang:
On the feasibility of common-friend measurements for the distributed online social networks. CHINACOM 2012: 24-29 - [c4]Yongquan Fu, Yijie Wang:
BCE: A privacy-preserving common-friend estimation method for distributed online social networks without cryptography. CHINACOM 2012: 212-217 - [c3]Xiaoyong Li, Yijie Wang, Yongquan Fu, Xiaoling Li, Weidong Sun:
BLOR: Bandwidth and Latency Sensitive Overlay Routing for Flash Data Dissemination. IPDPS Workshops 2012: 53-64 - 2011
- [i1]Yongquan Fu, Yijie Wang, Ernst W. Biersack:
HybridNN: Supporting Network Location Service on Generalized Delay Metrics. CoRR abs/1108.1928 (2011)
2000 – 2009
- 2009
- [c2]Yongquan Fu, Yijie Wang:
iRank: Supporting Proximity Ranking for Peer-to-Peer Applications. ICPADS 2009: 836-841 - [c1]Yongquan Fu, Yijie Wang:
HyperSpring: Accurate and Stable Latency Estimation in the Hyperbolic Space. ICPADS 2009: 864-869
Coauthor Index
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