Zhishu Shen

64 papers A* 2A 2B 5C 1Misc 2Journal 42Unranked 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Structure-Agnostic Co-Tuning Framework for LLMs and SLMs in Cloud-Edge Systems.
WWW
Yuze Liu, Yunhan Wang, Tiehua Zhang, Zhishu Shen, Cheng Peng, Libing Wu, Feng Xia, Jiong Jin
2026 J jnl
APT-SAT: An Adaptive DNN Partitioning and Task Offloading Framework Within Collaborative Satellite Computing Environments.
IEEE Trans. Netw. Sci. Eng.
Shifeng Peng, Zhishu Shen, Qiushi Zheng, Xuefeng Hou, Dawen Jiang, Jingling Yuan, Jiong Jin
2026 J jnl
Heterogeneous Hypergraph Multi-Agent Learning for UAV Collaboration in Disaster Scenarios.
IEEE Trans. Netw. Sci. Eng.
Ziqi Rong, Zhishu Shen, Wanwei Zhan, Qiushi Zheng, Tiehua Zhang, Jiong Jin
2026 J jnl
Intelligent task management via dynamic multi-region division in LEO satellite networks.
Comput. Networks
Zixuan Song, Zhishu Shen, Xiaoyu Zheng, Qiushi Zheng, Zheng Lei, Jiong Jin
2026 J jnl
ML-ECS: A Collaborative Multimodal Learning Framework for Edge-Cloud Synergies.
CoRR
Yuze Liu, Shibo Chu, Tiehua Zhang, Hao Zhou, Zhishu Shen, Jinze Wang, Jianzhong Qi, Feng Xia
2026 J jnl
Toward Inference Latency Optimization for Scalable Collaborative Multi-UAV Analytics.
IEEE Trans. Green Commun. Netw.
Ying Wang, Jingling Yuan, Wenbo Wu, Quanfeng Yao, Donglei Xu, Zhishu Shen
2025 J jnl
A Semi-Supervised Federated Learning Framework with Hierarchical Clustering Aggregation for Heterogeneous Satellite Networks.
CoRR
Zhuocheng Liu, Zhishu Shen, Qiushi Zheng, Tiehua Zhang, Zheng Lei, Jiong Jin
2025 J jnl
A Structure-Agnostic Co-Tuning Framework for LLMs and SLMs in Cloud-Edge Systems.
CoRR
Yuze Liu, Yunhan Wang, Tiehua Zhang, Zhishu Shen, Cheng Peng, Libing Wu, Feng Xia, Jiong Jin
2025 B conf
CCRSat: A Collaborative Computation Reuse Framework for Satellite Edge Computing Networks.
ICCCN
Ye Zhang, Zhishu Shen, Dawen Jiang, Xiangrui Liu, Qiushi Zheng, Jiong Jin
2025 J jnl
CCRSat: A Collaborative Computation Reuse Framework for Satellite Edge Computing Networks.
CoRR
Ye Zhang, Zhishu Shen, Dawen Jiang, Xiangrui Liu, Qiushi Zheng, Jiong Jin
2025 A conf
DHLight: Multi-Agent Policy-Based Directed Hypergraph Learning for Traffic Signal Control.
ECAI
Zhen Lei, Zhishu Shen, Kang Wang, Zhenwei Wang, Tiehua Zhang
2025 J jnl
Do We Really Need SFT? Prompt-as-Policy over Knowledge Graphs for Cold-start Next POI Recommendation.
CoRR
Jinze Wang, Lu Zhang, Yiyang Cui, Zhishu Shen, Xingjun Ma, Jiong Jin, Tiehua Zhang
2025 J jnl
Farm-LightSeek: An Edge-Centric Multimodal Agricultural IoT Data Analytics Framework With Lightweight LLMs.
IEEE Internet Things Mag.
Dawen Jiang, Zhishu Shen, Qiushi Zheng, Tiehua Zhang, Wei Xiang, Jiong Jin
2025 J jnl
Farm-LightSeek: An Edge-centric Multimodal Agricultural IoT Data Analytics Framework with Lightweight LLMs.
CoRR
Dawen Jiang, Zhishu Shen, Qiushi Zheng, Tiehua Zhang, Wei Xiang, Jiong Jin
2025 J jnl
FedFlex: Privacy-Aware Homomorphic Encryption Federated Learning Incorporating Dual-Factor Thompson Sampling.
IEEE Internet Things J.
Suzanne Hussein, Jingling Yuan, Zhishu Shen, Musa Eldow
2025 B conf
FedHC: A Hierarchical Clustered Federated Learning Framework for Satellite Networks.
GLOBECOM
Zhuocheng Liu, Zhishu Shen, Pan Zhou, Qiushi Zheng, Jiong Jin
2025 J jnl
FedHC: A Hierarchical Clustered Federated Learning Framework for Satellite Networks.
CoRR
Zhuocheng Liu, Zhishu Shen, Pan Zhou, Qiushi Zheng, Jiong Jin
2025 — conf
GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback.
PAKDD (7)
Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Zhijun Ding, Fei Richard Yu
2025 Misc conf
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications.
ICASSP
Ziming Zhao, Tiehua Zhang, Zijian Yi, Zhishu Shen
2025 J jnl
Intelligent Task Management via Dynamic Multi-region Division in LEO Satellite Networks.
CoRR
Zixuan Song, Zhishu Shen, Xi Zheng, Qiushi Zheng, Zheng Lei, Jiong Jin
2025 J jnl
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs.
IEEE Trans. Artif. Intell.
Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Peng Qi, Zhijun Ding, Jiong Jin
2025 J jnl
MetaSTH-Sleep: Towards Effective Few-Shot Sleep Stage Classification with Spatial-Temporal Hypergraph Enhanced Meta-Learning.
CoRR
Jingyu Li, Tiehua Zhang, Jinze Wang, Yi Zhang, Yuhuan Li, Yifan Zhao, Zhishu Shen, Jiannan Liu
2025 J jnl
Optimizing handover mechanism in vehicular networks using deep learning and optimization techniques.
Comput. Networks
A. C. P. K. Siriwardhana, Jingling Yuan, Zhishu Shen
2025 J jnl
Toward Multi-Agent Reinforcement Learning Based Traffic Signal Control Through Spatio-Temporal Hypergraphs.
IEEE Trans. Mob. Comput.
Kang Wang, Zhishu Shen, Zhen Lei, Xianhui Liu, Tiehua Zhang
2025 J jnl
Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment.
CoRR
Yuze Liu, Tiehua Zhang, Zhishu Shen, Libing Wu, Shiping Chen, Jiong Jin
2024 J jnl
A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks.
CoRR
Wenbo Wu, Cheng Tan, Kangcheng Yang, Zhishu Shen, Qiushi Zheng, Jiong Jin
2024 J jnl
A Survey of Next-generation Computing Technologies in Space-air-ground Integrated Networks.
ACM Comput. Surv.
Zhishu Shen, Jiong Jin, Cheng Tan, Atsushi Tagami, Shangguang Wang, Qing Li, Qiushi Zheng, Jingling Yuan
2024 J jnl
An Adaptive Federated Relevance Framework for Spatial-Temporal Graph Learning.
IEEE Trans. Artif. Intell.
Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng
2024 J jnl
CHASE: A Causal Heterogeneous Graph based Framework for Root Cause Analysis in Multimodal Microservice Systems.
CoRR
Ziming Zhao, Tiehua Zhang, Zhishu Shen, Hai Dong, Xingjun Ma, Xianhui Liu, Yun Yang
2024 C conf
Collaborative Satellite Computing through Adaptive DNN Task Splitting and Offloading.
ISCC
Shifeng Peng, Xuefeng Hou, Zhishu Shen, Qiushi Zheng, Jiong Jin, Atsushi Tagami, Jingling Yuan
2024 J jnl
Collaborative Satellite Computing through Adaptive DNN Task Splitting and Offloading.
CoRR
Shifeng Peng, Xuefeng Hou, Zhishu Shen, Qiushi Zheng, Jiong Jin, Atsushi Tagami, Jingling Yuan
2024 J jnl
Collaborative UAVs Multi-task Video Processing Optimization Based on Enhanced Distributed Actor-Critic Networks.
CoRR
Ziqi Rong, Qiushi Zheng, Zhishu Shen, Xiaolong Li, Tiehua Zhang, Zheng Lei, Jiong Jin
2024 J jnl
Distributed Task Processing Platform for Infrastructure-Less IoT Networks: A Multi-Dimensional Optimization Approach.
IEEE Trans. Parallel Distributed Syst.
Qiushi Zheng, Jiong Jin, Zhishu Shen, Libing Wu, Iftekhar Ahmad, Yong Xiang
2024 Misc conf
Exploiting Spatial-Temporal Data for Sleep Stage Classification via Hypergraph Learning.
ICASSP
Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen
2024 J jnl
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning.
CoRR
Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Fei Richard Yu
2024 J jnl
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications.
CoRR
Ziming Zhao, Tiehua Zhang, Zijian Yi, Zhishu Shen
2024 A* conf
Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation.
ACM Multimedia
Zijian Yi, Ziming Zhao, Zhishu Shen, Tiehua Zhang
2024 J jnl
Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation.
CoRR
Zijian Yi, Ziming Zhao, Zhishu Shen, Tiehua Zhang
2024 J jnl
Towards Multi-agent Policy-based Directed Hypergraph Learning for Traffic Signal Control.
CoRR
Kang Wang, Zhishu Shen, Zhenwei Wang, Tiehua Zhang
2024 J jnl
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs.
CoRR
Kang Wang, Zhishu Shen, Zhen Lei, Tiehua Zhang
2024 J jnl
Unleashing Collaborative Computing for Adaptive Video Streaming with Multi-objective Optimization in Satellite Terrestrial Networks.
CoRR
Zhishu Shen, Qiushi Zheng, Ziqi Rong, Jiong Jin, Atsushi Tagami, Wei Xiang
2023 J jnl
ELECT: Energy-efficient intelligent edge-cloud collaboration for remote IoT services.
Future Gener. Comput. Syst.
Jingling Yuan, Hua Xiao, Zhishu Shen, Tiehua Zhang, Jiong Jin
2023 J jnl
Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning.
CoRR
Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen
2023 — conf
KSGTN-DDI: Key Substructure-aware Graph Transformer Network for Drug-drug Interaction Prediction.
BIBM
Peiliang Zhang, Yuanjie Liu, Zhishu Shen
2023 J jnl
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs.
CoRR
Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Xin Chen, Xiaowei Huang, Jun Yin, Jiong Jin
2022 J jnl
FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning.
CoRR
Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng
2021 J jnl
Achieving Democracy in Edge Intelligence: A Fog-Based Collaborative Learning Scheme.
IEEE Internet Things J.
Tiehua Zhang, Zhishu Shen, Jiong Jin, Xi Zheng, Atsushi Tagami, Xianghui Cao
2021 J jnl
When RSSI encounters deep learning: An area localization scheme for pervasive sensing systems.
J. Netw. Comput. Appl.
Zhishu Shen, Tiehua Zhang, Atsushi Tagami, Jiong Jin
2020 — conf
A Democratically Collaborative Learning Scheme for Fog-enabled Pervasive Environments.
PerCom Workshops
Tiehua Zhang, Zhishu Shen, Jiong Jin, James Xi Zheng
2020 B conf
LESAR: Localization System for Environmental Sensors using Augmented Reality.
COMPSAC
Atsushi Tagami, Zhishu Shen
2019 — conf
C2P2: Content-Centric Privacy Platform for Privacy-Preserving Monitoring Services.
COMPSAC (1)
Kalika Suksomboon, Zhishu Shen, Kazuaki Ueda, Atsushi Tagami
2019 A conf
ESDA: An Energy-Saving Data Analytics Fog Service Platform.
ICSOC
Tiehua Zhang, Zhishu Shen, Jiong Jin, Atsushi Tagami, Xi Zheng, Yun Yang
2019 — conf
Energy-Efficient Activation/Inactivation Strategy for Long-term IoT Network Operation.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Zhishu Shen, Kenji Yokota, Atsushi Tagami, Teruo Higashino
2019 J jnl
ICCF: An Information-Centric Collaborative Fog Platform for Building Energy Management Systems.
IEEE Access
Zhishu Shen, Tiehua Zhang, Jiong Jin, Kenji Yokota, Atsushi Tagami, Teruo Higashino
2018 — conf
An Efficient Data Processing Scheme for Wireless Sensor Network Monitoring Using a Machine Learning Model.
ICMU
Zhishu Shen, Atsushi Tagami, Teruo Higashino
2018 — conf
Development of Energy-efficient Sensor Networks by Minimizing Sensors Numbers with a Machine Learning Model.
PerCom Workshops
Zhishu Shen, Kenji Yokota, Atsushi Tagami, Teruo Higashino
2018 B conf
In-network Self-Learning Algorithms for BEMS Through a Collaborative Fog Platform.
AINA
Zhishu Shen, Kenji Yokota, Jiong Jin, Atsushi Tagami, Teruo Higashino
2017 B conf
ICN-Fog: An Information-Centric Fog-to-Fog Architecture for Data Communications.
GLOBECOM
Dinh Nguyen, Zhishu Shen, Jiong Jin, Atsushi Tagami
2015 — conf
A novel routing and frequency slot assignment scheme that can adapt to transmission speed migration.
OFC
Zhishu Shen, Taiki Kusano, Hiroshi Hasegawa, Ken-ichi Sato
2015 J jnl
Integrity Enhancement of Flexible/Semi-Flexible Grid Networks That Minimizes Disruption in Spectrum Defragmentation and Bitrate-Dependent Blocking.
JOCN
Zhishu Shen, Hiroshi Hasegawa, Ken-ichi Sato
2014 — conf
A novel flexible grid/semi-flexible grid optical path network design algorithm that reserves exclusive frequency slots for high bitrate signals.
ONDM
Zhishu Shen, Hiroshi Hasegawa, Ken-ichi Sato
2013 J jnl
An efficient heuristic waveband assignment algorithm for hierarchical optical path networks utilizing wavelength convertors.
Opt. Switch. Netw.
Zhishu Shen, Hiroshi Hasegawa, Ken-ichi Sato
2013 J jnl
Effectiveness of Wavelength/Waveband Conversion and Its Allowable Cost Bound for Hierarchical Optical Path Networks.
JOCN
Zhishu Shen, Hiroshi Hasegawa, Ken-ichi Sato
2013 — conf
Impact of wavelength/waveband convertors and the cost bound in hierarchical optical path networks.
OFC/NFOEC
Zhishu Shen, Hiroshi Hasegawa, Ken-ichi Sato