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ORCIDZhishu Shen
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- affiliation: Nagoya University, Japan
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2020 – today
- 2024
[j10]Zhishu Shen
, Jiong Jin, Cheng Tan, Atsushi Tagami, Shangguang Wang, Qing Li, Qiushi Zheng, Jingling Yuan:
A Survey of Next-generation Computing Technologies in Space-air-ground Integrated Networks. ACM Comput. Surv. 56(1): 23:1-23:40 (2024)- [j9]Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng:
An Adaptive Federated Relevance Framework for Spatial-Temporal Graph Learning. IEEE Trans. Artif. Intell. 5(5): 2227-2240 (2024) - [j8]Qiushi Zheng, Jiong Jin, Zhishu Shen, Libing Wu, Iftekhar Ahmad, Yong Xiang:
Distributed Task Processing Platform for Infrastructure-Less IoT Networks: A Multi-Dimensional Optimization Approach. IEEE Trans. Parallel Distributed Syst. 35(12): 2392-2404 (2024) - [c16]Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen:
Exploiting Spatial-Temporal Data for Sleep Stage Classification via Hypergraph Learning. ICASSP 2024: 5430-5434 - [c15]Shifeng Peng, Xuefeng Hou, Zhishu Shen, Qiushi Zheng, Jiong Jin, Atsushi Tagami, Jingling Yuan:
Collaborative Satellite Computing through Adaptive DNN Task Splitting and Offloading. ISCC 2024: 1-6 - [c14]Zijian Yi, Ziming Zhao, Zhishu Shen, Tiehua Zhang:
Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation. ACM Multimedia 2024: 4341-4348 - [i13]Kang Wang, Zhishu Shen, Zhen Lei, Tiehua Zhang:
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs. CoRR abs/2404.11014 (2024) - [i12]Shifeng Peng, Xuefeng Hou, Zhishu Shen, Qiushi Zheng, Jiong Jin, Atsushi Tagami, Jingling Yuan:
Collaborative Satellite Computing through Adaptive DNN Task Splitting and Offloading. CoRR abs/2405.03181 (2024) - [i11]Ziming Zhao, Tiehua Zhang, Zhishu Shen, Hai Dong, Xingjun Ma, Xianhui Liu, Yun Yang:
CHASE: A Causal Heterogeneous Graph based Framework for Root Cause Analysis in Multimodal Microservice Systems. CoRR abs/2406.19711 (2024) - [i10]Zijian Yi, Ziming Zhao, Zhishu Shen, Tiehua Zhang:
Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation. CoRR abs/2408.00970 (2024) - [i9]Zhishu Shen, Qiushi Zheng, Ziqi Rong, Jiong Jin, Atsushi Tagami, Wei Xiang:
Unleashing Collaborative Computing for Adaptive Video Streaming with Multi-objective Optimization in Satellite Terrestrial Networks. CoRR abs/2408.13512 (2024) - [i8]Kang Wang, Zhishu Shen, Zhenwei Wang, Tiehua Zhang:
Towards Multi-agent Policy-based Directed Hypergraph Learning for Traffic Signal Control. CoRR abs/2409.05037 (2024) - [i7]Ziming Zhao, Tiehua Zhang, Zijian Yi, Zhishu Shen:
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications. CoRR abs/2409.05402 (2024) - [i6]Wenbo Wu, Cheng Tan, Kangcheng Yang, Zhishu Shen, Qiushi Zheng, Jiong Jin:
A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks. CoRR abs/2411.06137 (2024) - [i5]Ziqi Rong, Qiushi Zheng, Zhishu Shen, Xiaolong Li, Tiehua Zhang, Zheng Lei, Jiong Jin:
Collaborative UAVs Multi-task Video Processing Optimization Based on Enhanced Distributed Actor-Critic Networks. CoRR abs/2411.10815 (2024) - [i4]Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Fei Richard Yu:
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning. CoRR abs/2411.14479 (2024) - 2023
- [j7]Jingling Yuan, Hua Xiao, Zhishu Shen, Tiehua Zhang, Jiong Jin:
ELECT: Energy-efficient intelligent edge-cloud collaboration for remote IoT services. Future Gener. Comput. Syst. 147: 179-194 (2023) - [c13]Peiliang Zhang, Yuanjie Liu, Zhishu Shen:
KSGTN-DDI: Key Substructure-aware Graph Transformer Network for Drug-drug Interaction Prediction. BIBM 2023: 974-977 - [i3]Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Xin Chen, Xiaowei Huang, Jun Yin, Jiong Jin:
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs. CoRR abs/2307.03411 (2023) - [i2]Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen:
Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning. CoRR abs/2309.02124 (2023) - 2022
- [i1]Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng:
FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning. CoRR abs/2206.03420 (2022) - 2021
- [j6]Tiehua Zhang, Zhishu Shen, Jiong Jin, Xi Zheng, Atsushi Tagami, Xianghui Cao:
Achieving Democracy in Edge Intelligence: A Fog-Based Collaborative Learning Scheme. IEEE Internet Things J. 8(4): 2751-2761 (2021) - [j5]Zhishu Shen, Tiehua Zhang, Atsushi Tagami, Jiong Jin:
When RSSI encounters deep learning: An area localization scheme for pervasive sensing systems. J. Netw. Comput. Appl. 173: 102852 (2021) - 2020
- [c12]Atsushi Tagami, Zhishu Shen:
LESAR: Localization System for Environmental Sensors using Augmented Reality. COMPSAC 2020: 1667-1672 - [c11]Tiehua Zhang, Zhishu Shen, Jiong Jin, James Xi Zheng:
A Democratically Collaborative Learning Scheme for Fog-enabled Pervasive Environments. PerCom Workshops 2020: 1-4
2010 – 2019
- 2019
- [j4]Zhishu Shen, Tiehua Zhang, Jiong Jin, Kenji Yokota, Atsushi Tagami, Teruo Higashino:
ICCF: An Information-Centric Collaborative Fog Platform for Building Energy Management Systems. IEEE Access 7: 40402-40415 (2019) - [c10]Kalika Suksomboon, Zhishu Shen, Kazuaki Ueda, Atsushi Tagami:
C2P2: Content-Centric Privacy Platform for Privacy-Preserving Monitoring Services. COMPSAC (1) 2019: 252-257 - [c9]Tiehua Zhang, Zhishu Shen, Jiong Jin, Atsushi Tagami, Xi Zheng, Yun Yang:
ESDA: An Energy-Saving Data Analytics Fog Service Platform. ICSOC 2019: 171-185 - [c8]Zhishu Shen, Kenji Yokota, Atsushi Tagami, Teruo Higashino:
Energy-Efficient Activation/Inactivation Strategy for Long-term IoT Network Operation. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 747-752 - 2018
- [c7]Zhishu Shen, Kenji Yokota, Jiong Jin, Atsushi Tagami, Teruo Higashino:
In-network Self-Learning Algorithms for BEMS Through a Collaborative Fog Platform. AINA 2018: 1162-1169 - [c6]Zhishu Shen, Atsushi Tagami, Teruo Higashino:
An Efficient Data Processing Scheme for Wireless Sensor Network Monitoring Using a Machine Learning Model. ICMU 2018: 1-4 - [c5]Zhishu Shen, Kenji Yokota, Atsushi Tagami, Teruo Higashino:
Development of Energy-efficient Sensor Networks by Minimizing Sensors Numbers with a Machine Learning Model. PerCom Workshops 2018: 741-746 - 2017
- [c4]Dinh Nguyen, Zhishu Shen, Jiong Jin, Atsushi Tagami:
ICN-Fog: An Information-Centric Fog-to-Fog Architecture for Data Communications. GLOBECOM 2017: 1-6 - 2015
- [j3]Zhishu Shen, Hiroshi Hasegawa, Ken-ichi Sato:
Integrity Enhancement of Flexible/Semi-Flexible Grid Networks That Minimizes Disruption in Spectrum Defragmentation and Bitrate-Dependent Blocking. JOCN 7(4): 235-247 (2015) - [c3]Zhishu Shen, Taiki Kusano, Hiroshi Hasegawa, Ken-ichi Sato:
A novel routing and frequency slot assignment scheme that can adapt to transmission speed migration. OFC 2015: 1-3 - 2014
- [c2]Zhishu Shen, Hiroshi Hasegawa, Ken-ichi Sato:
A novel flexible grid/semi-flexible grid optical path network design algorithm that reserves exclusive frequency slots for high bitrate signals. ONDM 2014: 287-292 - 2013
- [j2]Zhishu Shen, Hiroshi Hasegawa, Ken-ichi Sato:
Effectiveness of Wavelength/Waveband Conversion and Its Allowable Cost Bound for Hierarchical Optical Path Networks. JOCN 5(11): 1262-1274 (2013) - [j1]Zhishu Shen, Hiroshi Hasegawa, Ken-ichi Sato:
An efficient heuristic waveband assignment algorithm for hierarchical optical path networks utilizing wavelength convertors. Opt. Switch. Netw. 10(1): 54-61 (2013) - [c1]Zhishu Shen, Hiroshi Hasegawa, Ken-ichi Sato:
Impact of wavelength/waveband convertors and the cost bound in hierarchical optical path networks. OFC/NFOEC 2013: 1-3
Coauthor Index
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