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Yiqiang Sheng
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2020 – today
- 2024
- [j21]Jun Yang, Yiqiang Sheng, Jin-Lin Wang, Hong Ni:
CAGCN: Centrality-Aware Graph Convolution Network for Anomaly Detection in Industrial Control Systems. J. Comput. Sci. Technol. 39(4): 967-983 (2024) - 2022
- [i4]Satoshi Kamo, Yiqiang Sheng:
Meta-Generalization for Multiparty Privacy Learning to Identify Anomaly Multimedia Traffic in Graynet. CoRR abs/2201.03027 (2022) - [i3]Satoshi Kamo, Yiqiang Sheng:
Layerwise Geo-Distributed Computing between Cloud and IoT. CoRR abs/2201.07215 (2022) - [i2]Satoshi Kamo, Yiqiang Sheng:
Wide Area Network Intelligence with Application to Multimedia Service. CoRR abs/2201.07216 (2022) - 2020
- [j20]Xingkai Wang, Yiqiang Sheng, Haojiang Deng:
Joint Deep Network With Auxiliary Semantic Learning for Popular Recommendation. IEEE Access 8: 41254-41261 (2020) - [j19]Jun Yang, Yiqiang Sheng, Jinlin Wang:
A GBDT-Paralleled Quadratic Ensemble Learning for Intrusion Detection System. IEEE Access 8: 175467-175482 (2020)
2010 – 2019
- 2019
- [j18]Yiran Hao, Yiqiang Sheng, Jinlin Wang:
Variant Gated Recurrent Units With Encoders to Preprocess Packets for Payload-Aware Intrusion Detection. IEEE Access 7: 49985-49998 (2019) - [j17]Luchao Han, Yiqiang Sheng, Xuewen Zeng:
A Packet-Length-Adjustable Attention Model Based on Bytes Embedding Using Flow-WGAN for Smart Cybersecurity. IEEE Access 7: 82913-82926 (2019) - [j16]Xingkai Wang, Yiqiang Sheng, Haojiang Deng, Zhenyu Zhao:
Top-N-Targets-Balanced Recommendation Based on Attentional Sequence-to-Sequence Learning. IEEE Access 7: 120262-120272 (2019) - [j15]Zhenyu Zhao, Ming Zhu, Yiqiang Sheng, Jinlin Wang:
A Top-N-Balanced Sequential Recommendation Based on Recurrent Network. IEICE Trans. Inf. Syst. 102-D(4): 737-744 (2019) - [j14]He Huang, Haojiang Deng, Yiqiang Sheng, Xiaozhou Ye:
Accelerating convolutional neural network-based malware traffic detection through ant-colony clustering. J. Intell. Fuzzy Syst. 37(1): 409-423 (2019) - [c11]Nanxing Li, Yiqiang Sheng, Hong Ni:
CoNN: Collaborative Neural Network for Personalized Representation Learning with Application to Scalable Task Classification. CITS 2019: 1-5 - [c10]Qifeng Yang, Haojiang Deng, Lingfang Wang, Yiqiang Sheng:
An Almost-zero Latency Lightweight Mechanism for Caching Decision in ICN Content Router. IPCCC 2019: 1-8 - [i1]Yiqiang Sheng:
Scalable Intelligence-Enabled Networking with Traffic Engineering in 5G Scenarios for Future Audio-Visual-Tactile Internet. CoRR abs/1910.07193 (2019) - 2018
- [j13]Wei Wang, Yiqiang Sheng, Jinlin Wang, Xuewen Zeng, Xiaozhou Ye, Yongzhong Huang, Ming Zhu:
HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection. IEEE Access 6: 1792-1806 (2018) - [j12]Yiqiang Sheng:
Scalable Intelligence-Enabled Networking With Traffic Engineering in 5G Scenarios for Future Audio-Visual-Tactile Internet. IEEE Access 6: 30378-30391 (2018) - [j11]Zhenyu Zhao, Yiqiang Sheng, Ming Zhu, Jin-Lin Wang:
A Memory-Efficient Approach to the Scalability of Recommender System With Hit Improvement. IEEE Access 6: 67070-67081 (2018) - 2017
- [j10]Runzi Zhang, Jinlin Wang, Yiqiang Sheng, Xiao Chen, Xiaozhou Ye:
Protocol-Aware Packet Scheduling Algorithm for Multi-Protocol Processing in Multi-Core MPL Architecture. IEICE Trans. Inf. Syst. 100-D(12): 2837-2846 (2017) - [j9]Li Ding, Jinlin Wang, Yiqiang Sheng, Lingfang Wang:
A Split Architecture Approach to Terabyte-Scale Caching in a Protocol-Oblivious Forwarding Switch. IEEE Trans. Netw. Serv. Manag. 14(4): 1171-1184 (2017) - [c9]Li Ding, Jinlin Wang, Lingfang Wang, Yiqiang Sheng:
LMKS: An efficient scheme over POF switch to improve latency and throughput. CITS 2017: 118-122 - [c8]Wei Wang, Ming Zhu, Xuewen Zeng, Xiaozhou Ye, Yiqiang Sheng:
Malware traffic classification using convolutional neural network for representation learning. ICOIN 2017: 712-717 - [c7]Zhenyu Zhao, Yiqiang Sheng, Jinlin Wang, Ming Zhu:
An in-network service system based on smart routers and edge devices. WPMC 2017: 568-574 - 2016
- [j8]Yiqiang Sheng, Jinlin Wang, Haojiang Deng, Chaopeng Li:
k-Degree Layer-Wise Network for Geo-Distributed Computing between Cloud and IoT. IEICE Trans. Commun. 99-B(2): 307-314 (2016) - [j7]Yiqiang Sheng, Jinlin Wang, Chaopeng Li, Weining Qi:
Max-Min-Degree Neural Network for Centralized-Decentralized Collaborative Computing. IEICE Trans. Commun. 99-B(4): 841-848 (2016) - [j6]Yiqiang Sheng, Jinlin Wang, Yi Liao, Zhenyu Zhao:
A Machine Learning Model for Wide Area Network Intelligence with Application to Multimedia Service. IEICE Trans. Commun. 99-B(11): 2263-2270 (2016) - [j5]Nannan Qiao, Jiali You, Yiqiang Sheng, Jinlin Wang, Haojiang Deng:
An Efficient Algorithm of Discrete Particle Swarm Optimization for Multi-Objective Task Assignment. IEICE Trans. Inf. Syst. 99-D(12): 2968-2977 (2016) - [j4]Xiaodong Zhu, Weining Qi, Jinlin Wang, Yiqiang Sheng:
A Popularity-Based Collaborative Caching Algorithm for Content-Centric Networking. J. Commun. 11(10): 886-895 (2016) - [c6]Yiqiang Sheng, Jinlin Wang, Zhenyu Zhao:
A communication-efficient model of sparse neural network for distributed intelligence. INFOCOM Workshops 2016: 515-520 - [c5]Jiali You, Nannan Qiao, Jinlin Wang, Guoqiang Zhang, Yiqiang Sheng, Haojiang Deng, Xue Liu:
An On-Site Elastic Autonomous Service Network with Efficient Task Assignment. LCN Workshops 2016: 42-49 - [c4]Haitao Dong, Jun Yang, Yiqiang Sheng:
Request distribution with pre-learning for distributed SSL reverse proxies. SNPD 2016: 161-167 - 2015
- [c3]Yiqiang Sheng, Chaopeng Li, Jinlin Wang, Haojiang Deng, Zhenyu Zhao:
A novel pruning model of deep learning for large-scale distributed data processing. APSIPA 2015: 314-319 - 2014
- [j3]Yiqiang Sheng, Atsushi Takahashi:
A Novel High-Performance Heuristic Algorithm with Application to Physical Design Optimization. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(12): 2418-2426 (2014) - 2013
- [j2]Yiqiang Sheng, Atsushi Takahashi:
A New Variation of Adaptive Simulated Annealing for 2D/3D Packing Optimization. Inf. Media Technol. 8(4): 906-912 (2013) - [j1]Yiqiang Sheng, Atsushi Takahashi:
A New Variation of Adaptive Simulated Annealing for 2D/3D Packing Optimization. IPSJ Trans. Syst. LSI Des. Methodol. 6: 94-100 (2013) - 2011
- [c2]Yiqiang Sheng, Atsushi Takahashi, Shuichi Ueno:
RRA-based multi-objective optimization to mitigate the worst cases of placement. ASICON 2011: 329-332 - [c1]Yiqiang Sheng, Atsushi Takahashi, Shuichi Ueno:
Relay-Race Algorithm: A Novel Heuristic Approach to VLSI/PCB Placement. ISVLSI 2011: 96-101
Coauthor Index
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