Impact of wavelength/waveband convertors and the cost bound in hierarchical optical path networks. - Zhishu Shen; Hiroshi Hasegawa; Ken-ichi Sato (OFC/NFOEC, 2013)

Effectiveness of Wavelength/Waveband Conversion and Its Allowable Cost Bound for Hierarchical Optical Path Networks. - Zhishu Shen; Hiroshi Hasegawa; Ken-ichi Sato (JOCN, 2013)

An efficient heuristic waveband assignment algorithm for hierarchical optical path networks utilizing wavelength convertors. - Zhishu Shen; Hiroshi Hasegawa; Ken-ichi Sato (Opt. Switch. Netw., 2013)

A novel flexible grid/semi-flexible grid optical path network design algorithm that reserves exclusive frequency slots for high bitrate signals. - Zhishu Shen; Hiroshi Hasegawa; Ken-ichi Sato (ONDM, 2014)

A novel routing and frequency slot assignment scheme that can adapt to transmission speed migration. - Zhishu Shen; Taiki Kusano; Hiroshi Hasegawa; Ken-ichi Sato (OFC, 2015)

Integrity Enhancement of Flexible/Semi-Flexible Grid Networks That Minimizes Disruption in Spectrum Defragmentation and Bitrate-Dependent Blocking. - Zhishu Shen; Hiroshi Hasegawa; Ken-ichi Sato (JOCN, 2015)

ICN-Fog: An Information-Centric Fog-to-Fog Architecture for Data Communications. - Dinh Nguyen; Zhishu Shen; Jiong Jin; Atsushi Tagami (GLOBECOM, 2017)

In-network Self-Learning Algorithms for BEMS Through a Collaborative Fog Platform. - Zhishu Shen; Kenji Yokota; Jiong Jin; Atsushi Tagami; Teruo Higashino (AINA, 2018)

An Efficient Data Processing Scheme for Wireless Sensor Network Monitoring Using a Machine Learning Model. - Zhishu Shen; Atsushi Tagami; Teruo Higashino (ICMU, 2018)

Development of Energy-efficient Sensor Networks by Minimizing Sensors Numbers with a Machine Learning Model. - Zhishu Shen; Kenji Yokota; Atsushi Tagami; Teruo Higashino (PerCom Workshops, 2018)

C2P2: Content-Centric Privacy Platform for Privacy-Preserving Monitoring Services. - Kalika Suksomboon; Zhishu Shen; Kazuaki Ueda; Atsushi Tagami (COMPSAC (1), 2019)

ESDA: An Energy-Saving Data Analytics Fog Service Platform. - Tiehua Zhang; Zhishu Shen; Jiong Jin; Atsushi Tagami; Xi Zheng 001; Yun Yang 001 (ICSOC, 2019)

Energy-Efficient Activation/Inactivation Strategy for Long-term IoT Network Operation. - Zhishu Shen; Kenji Yokota; Atsushi Tagami; Teruo Higashino (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

ICCF: An Information-Centric Collaborative Fog Platform for Building Energy Management Systems. - Zhishu Shen; Tiehua Zhang; Jiong Jin; Kenji Yokota; Atsushi Tagami; Teruo Higashino (IEEE Access, 2019)

LESAR: Localization System for Environmental Sensors using Augmented Reality. - Atsushi Tagami; Zhishu Shen (COMPSAC, 2020)

A Democratically Collaborative Learning Scheme for Fog-enabled Pervasive Environments. - Tiehua Zhang; Zhishu Shen; Jiong Jin; James Xi Zheng (PerCom Workshops, 2020)

Achieving Democracy in Edge Intelligence: A Fog-Based Collaborative Learning Scheme. - Tiehua Zhang; Zhishu Shen; Jiong Jin; Xi Zheng 001; Atsushi Tagami; Xianghui Cao (IEEE Internet Things J., 2021)

When RSSI encounters deep learning: An area localization scheme for pervasive sensing systems. - Zhishu Shen; Tiehua Zhang; Atsushi Tagami; Jiong Jin (J. Netw. Comput. Appl., 2021)

FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning. - Tiehua Zhang; Yuze Liu; Zhishu Shen; Rui Xu; Xin Chen; Xiaowei Huang; Xi Zheng 001 (CoRR, 2022)

KSGTN-DDI: Key Substructure-aware Graph Transformer Network for Drug-drug Interaction Prediction. - Peiliang Zhang; Yuanjie Liu; Zhishu Shen (BIBM, 2023)

Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs. - Tiehua Zhang; Yuze Liu; Zhishu Shen; Xingjun Ma; Xin Chen; Xiaowei Huang; Jun Yin; Jiong Jin (CoRR, 2023)

ELECT: Energy-efficient intelligent edge-cloud collaboration for remote IoT services. - Jingling Yuan; Hua Xiao; Zhishu Shen; Tiehua Zhang; Jiong Jin (Future Gener. Comput. Syst., 2023)

Exploiting Spatial-Temporal Data for Sleep Stage Classification via Hypergraph Learning. - Yuze Liu; Ziming Zhao 010; Tiehua Zhang; Kang Wang; Xin Chen; Xiaowei Huang; Jun Yin; Zhishu Shen (ICASSP, 2024)

Collaborative Satellite Computing through Adaptive DNN Task Splitting and Offloading. - Shifeng Peng; Xuefeng Hou; Zhishu Shen; Qiushi Zheng; Jiong Jin; Atsushi Tagami; Jingling Yuan (ISCC, 2024)

Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation. - Zijian Yi; Ziming Zhao 010; Zhishu Shen; Tiehua Zhang (ACM Multimedia, 2024)

Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs. - Kang Wang; Zhishu Shen; Zhen Lei; Tiehua Zhang (CoRR, 2024)

CHASE: A Causal Heterogeneous Graph based Framework for Root Cause Analysis in Multimodal Microservice Systems. - Ziming Zhao 010; Tiehua Zhang; Zhishu Shen; Hai Dong; Xingjun Ma; Xianhui Liu; Yun Yang 001 (CoRR, 2024)

Unleashing Collaborative Computing for Adaptive Video Streaming with Multi-objective Optimization in Satellite Terrestrial Networks. - Zhishu Shen; Qiushi Zheng; Ziqi Rong; Jiong Jin; Atsushi Tagami; Wei Xiang 001 (CoRR, 2024)

Towards Multi-agent Policy-based Directed Hypergraph Learning for Traffic Signal Control. - Kang Wang; Zhishu Shen; Zhenwei Wang; Tiehua Zhang (CoRR, 2024)

A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks. - Wenbo Wu; Cheng Tan; Kangcheng Yang; Zhishu Shen; Qiushi Zheng; Jiong Jin (CoRR, 2024)

Collaborative UAVs Multi-task Video Processing Optimization Based on Enhanced Distributed Actor-Critic Networks. - Ziqi Rong; Qiushi Zheng; Zhishu Shen; Xiaolong Li; Tiehua Zhang; Zheng Lei; Jiong Jin (CoRR, 2024)

GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning. - Yuze Liu; Tingjie Liu; Tiehua Zhang; Youhua Xia; Jinze Wang; Zhishu Shen; Jiong Jin; Fei Richard Yu (CoRR, 2024)

A Survey of Next-generation Computing Technologies in Space-air-ground Integrated Networks. - Zhishu Shen; Jiong Jin; Cheng Tan; Atsushi Tagami; Shangguang Wang; Qing Li 028; Qiushi Zheng; Jingling Yuan (ACM Comput. Surv., 2024)

An Adaptive Federated Relevance Framework for Spatial-Temporal Graph Learning. - Tiehua Zhang; Yuze Liu; Zhishu Shen; Rui Xu; Xin Chen; Xiaowei Huang; Xi Zheng 001 (IEEE Trans. Artif. Intell., 2024)

Distributed Task Processing Platform for Infrastructure-Less IoT Networks: A Multi-Dimensional Optimization Approach. - Qiushi Zheng; Jiong Jin; Zhishu Shen; Libing Wu; Iftekhar Ahmad; Yong Xiang 001 (IEEE Trans. Parallel Distributed Syst., 2024)

HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications. - Ziming Zhao 010; Tiehua Zhang; Zijian Yi; Zhishu Shen (ICASSP, 2025)

GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback. - Yuze Liu; Tingjie Liu; Tiehua Zhang; Youhua Xia; Jinze Wang; Zhishu Shen; Jiong Jin; Zhijun Ding; Fei Richard Yu (PAKDD (7), 2025)

Optimizing handover mechanism in vehicular networks using deep learning and optimization techniques. - A. C. P. K. Siriwardhana; Jingling Yuan; Zhishu Shen (Comput. Networks, 2025)

FedFlex: Privacy-Aware Homomorphic Encryption Federated Learning Incorporating Dual-Factor Thompson Sampling. - Suzanne Hussein; Jingling Yuan; Zhishu Shen; Musa Eldow (IEEE Internet Things J., 2025)

FedHC: A Hierarchical Clustered Federated Learning Framework for Satellite Networks. - Zhuocheng Liu; Zhishu Shen; Pan Zhou; Qiushi Zheng; Jiong Jin (CoRR, 2025)

CCRSat: A Collaborative Computation Reuse Framework for Satellite Edge Computing Networks. - Ye Zhang; Zhishu Shen; Dawen Jiang; Xiangrui Liu; Qiushi Zheng; Jiong Jin (CoRR, 2025)

MetaSTH-Sleep: Towards Effective Few-Shot Sleep Stage Classification with Spatial-Temporal Hypergraph Enhanced Meta-Learning. - Jingyu Li; Tiehua Zhang; Jinze Wang; Yi Zhang; Yuhuan Li; Yifan Zhao; Zhishu Shen; Jiannan Liu (CoRR, 2025)

Farm-LightSeek: An Edge-centric Multimodal Agricultural IoT Data Analytics Framework with Lightweight LLMs. - Dawen Jiang; Zhishu Shen; Qiushi Zheng; Tiehua Zhang; Wei Xiang 001; Jiong Jin (CoRR, 2025)

Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs. - Tiehua Zhang; Yuze Liu; Zhishu Shen; Xingjun Ma; Peng Qi 001; Zhijun Ding; Jiong Jin (IEEE Trans. Artif. Intell., 2025)

Intelligent Task Management via Dynamic Multi-region Division in LEO Satellite Networks. - Zixuan Song; Zhishu Shen; Xi Zheng 001; Qiushi Zheng; Zheng Lei; Jiong Jin (CoRR, 2025)

A Semi-Supervised Federated Learning Framework with Hierarchical Clustering Aggregation for Heterogeneous Satellite Networks. - Zhuocheng Liu; Zhishu Shen; Qiushi Zheng; Tiehua Zhang; Zheng Lei; Jiong Jin (CoRR, 2025)

Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment. - Yuze Liu; Tiehua Zhang; Zhishu Shen; Libing Wu; Shiping Chen; Jiong Jin (CoRR, 2025)

Toward Multi-Agent Reinforcement Learning Based Traffic Signal Control Through Spatio-Temporal Hypergraphs. - Kang Wang; Zhishu Shen; Zhen Lei; Xianhui Liu; Tiehua Zhang (IEEE Trans. Mob. Comput., 2025)