Pengzhan Zhou

47 papers A* 8A 5B 3C 1Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Bridging Time and Domains: A Time-aware Framework for Cross-Domain Sequential Recommendation.
WWW
Zemu Liu, Zhida Qin, Pengzhan Zhou, Tianyu Huang, Gangyi Ding
2026 A* conf
PGMamba: A Physical Model-Guided Global Mamba for Underwater Image Enhancement.
AAAI
Zijun Tan, Chuan Fu, Tan Guo, Zhixiong Nan, Pengzhan Zhou, Xinggan Peng, Fulin Luo
2026 J jnl
SkyLink: Joint Deployment and Scheduling in Collaborative Integrated Ground-Air-Space Network.
IEEE Trans. Wirel. Commun.
Lin Tan, Songtao Guo, Zhufang Kuang, Pengzhan Zhou, Mingyan Li
2025 J jnl
AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications.
IEEE Trans. Neural Networks Learn. Syst.
Dewen Qiao, Liangxin Qian, Songtao Guo, Jun Zhao, Pengzhan Zhou
2025 J jnl
ASMAFL: Adaptive Staleness-Aware Momentum Asynchronous Federated Learning in Edge Computing.
IEEE Trans. Mob. Comput.
Dewen Qiao, Songtao Guo, Jun Zhao, Junqing Le, Pengzhan Zhou, Mingyan Li, Xuetao Chen
2025 J jnl
Dual Social View Enhanced Contrastive Learning for Social Recommendation.
IEEE Trans. Comput. Soc. Syst.
Shixiao Yang, Zhida Qin, Enjun Du, Pengzhan Zhou, Tianyu Huang
2025 A* conf
Dual-GT: Dual-scale Spatial Dependency for Grid-based Traffic Flow Prediction.
INFOCOM
Xufeng Liang, Zhida Qin, Pengzhan Zhou, Shuang Li, Tianyu Huang
2025 J jnl
EMAFL: Evolutionary Momentum Auxiliary Adaptive Accelerating Federated Learning.
IEEE Internet Things J.
Dewen Qiao, Songtao Guo, Xuetao Chen, Pengzhan Zhou, Di Zhang, Yu Zhang
2025 A* conf
EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation.
IJCAI
Fang Qu, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Youyu Luo, Xin Feng, Yu Liu, Songtao Guo
2025 J jnl
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Personalized Autonomous Vehicles With Guaranteed Efficiency.
IEEE Trans. Mob. Comput.
Pengzhan Zhou, Yijun Zhai, Yuepeng He, Fang Qu, Zhida Qin, Xianlong Jiao, Fulin Luo, Chao Chen, Songtao Guo
2025 A conf
FedSODA: Federated Fine-Tuning of LLMs via Similarity Group Pruning and Orchestrated Distillation Alignment.
ECAI
Manning Zhu, Songtao Guo, Pengzhan Zhou, Yansong Ning, Chang Han, Dewen Qiao
2025 J jnl
FedSODA: Federated Fine-tuning of LLMs via Similarity Group Pruning and Orchestrated Distillation Alignment.
CoRR
Manning Zhu, Songtao Guo, Pengzhan Zhou, Yansong Ning, Chang Han, Dewen Qiao
2025 — conf
FedSPA: Heterogenous Federated Learning with Similarity-Based Prototype Aggregation.
WASA (1)
Chen Yang, Songtao Guo, Pengzhan Zhou
2025 A* conf
Large Language Models Enhanced Hyperbolic Space Recommender Systems.
SIGIR
Wentao Cheng, Zhida Qin, Zexue Wu, Pengzhan Zhou, Tianyu Huang
2025 J jnl
Large Language Models Enhanced Hyperbolic Space Recommender Systems.
CoRR
Wentao Cheng, Zhida Qin, Zexue Wu, Pengzhan Zhou, Tianyu Huang
2025 A conf
Partitioned Collaborative Inference for On-Device Models via Evolutionary Reinforcement Learning.
ICDCS
Lin Tan, Pengzhan Zhou, Songtao Guo, Jun Zhao, Zhufang Kuang, Dewen Qiao, Lu Yang
2025 B conf
uFedMBA: Unforgotten Personalized Federated Learning with Memory Bank for Adaptively Aggregated Layers.
SMC
Yijun Zhai, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Fang Qu, Ziyi Li, Li Gao, Youyu Luo
2024 J jnl
FedAH: Aggregated Head for Personalized Federated Learning.
CoRR
Pengzhan Zhou, Yuepeng He, Yijun Zhai, Kaixin Gao, Chao Chen, Zhida Qin, Chong Zhang, Songtao Guo
2024 C conf
FedGDC-P: Communication-efficient Personalized Graph Federated Learning Based On Dataset Condensation.
CSCWD
Jiaming Zhang, Songtao Guo, Pengzhan Zhou
2024 J jnl
FedPAW: Federated Learning With Personalized Aggregation Weights for Urban Vehicle Speed Prediction.
IEEE Trans. Cloud Comput.
Yuepeng He, Pengzhan Zhou, Yijun Zhai, Fang Qu, Zhida Qin, Mingyan Li, Songtao Guo
2024 J jnl
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction.
CoRR
Yuepeng He, Pengzhan Zhou, Yijun Zhai, Fang Qu, Zhida Qin, Mingyan Li, Songtao Guo
2024 — conf
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles.
MSN
Yijun Zhai, Pengzhan Zhou, Yuepeng He, Fang Qu, Zhida Qin, Xianlong Jiao, Guiyan Liu, Songtao Guo
2024 J jnl
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles.
CoRR
Yijun Zhai, Pengzhan Zhou, Yuepeng He, Fang Qu, Zhida Qin, Xianlong Jiao, Guiyan Liu, Songtao Guo
2024 J jnl
HAT: Task Offloading and Resource Allocation in RIS-Assisted Collaborative Edge Computing.
IEEE Trans. Netw. Sci. Eng.
Lin Tan, Songtao Guo, Pengzhan Zhou, Zhufang Kuang, Xianlong Jiao
2024 — conf
HfedPES: Hierarchical Personalized Federated Learning with Edge Selection.
MSN
Kunhong He, Pengzhan Zhou, Yijun Zhai, Yuepeng He, Lin Tan, Dewen Qiao, Songtao Guo
2024 J jnl
Multi-UAV-Enabled Collaborative Edge Computing: Deployment, Offloading and Resource Optimization.
IEEE Trans. Intell. Transp. Syst.
Lin Tan, Songtao Guo, Pengzhan Zhou, Zhufang Kuang, Saiqin Long, Zhetao Li
2024 J jnl
Parameters optimization and precision enhancement of Takagi-Sugeno fuzzy neural network.
Soft Comput.
Dewen Qiao, Pengzhan Zhou, Mingyan Li, Songtao Guo
2024 J jnl
PreM-FedIoV: A Novel Federated Reinforcement Learning Framework for Predictive Maintenance in IoV.
IEEE Trans. Mob. Comput.
Lu Yang, Songtao Guo, Chen-Khong Tham, Mingyan Li, Guiyan Liu, Pengzhan Zhou
2024 J jnl
Towards Relevance and Diversity in Crowdsourcing Worker Recruitment With Insufficient Information.
IEEE Trans. Netw. Sci. Eng.
Zhida Qin, Siyun Yang, Yuchen Huang, Haoyan Fu, Pengzhan Zhou, Gangyi Ding
2023 J jnl
Deep Reinforcement Learning Empowers Wireless Powered Mobile Edge Computing: Towards Energy-Aware Online Offloading.
IEEE Trans. Commun.
Xianlong Jiao, Yating Wang, Songtao Guo, Hong Zhang, Haipeng Dai, Mingyan Li, Pengzhan Zhou
2023 J jnl
Design and Optimization of Solar-Powered Shared Electric Autonomous Vehicle System for Smart Cities.
IEEE Trans. Mob. Comput.
Pengzhan Zhou, Cong Wang, Yuanyuan Yang
2023 J jnl
Economical Behavior Modeling and Analyses for Data Collection in Edge Internet of Things Networks.
ACM Trans. Sens. Networks
Yiming Zeng, Pengzhan Zhou, Cong Wang, Ji Liu, Yuanyuan Yang
2022 J jnl
Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing.
IEEE Trans. Parallel Distributed Syst.
Dewen Qiao, Songtao Guo, Defang Liu, Saiqin Long, Pengzhan Zhou, Zhetao Li
2022 J jnl
iCOS: A Deep Reinforcement Learning Scheme for Wireless-Charged MEC Networks.
IEEE Trans. Veh. Technol.
Changwei Wan, Songtao Guo, Jing He, Guiyan Liu, Pengzhan Zhou
2022 J jnl
k-Level Truthful Incentivizing Mechanism and Generalized k-MAB Problem.
IEEE Trans. Computers
Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang
2021 J jnl
Design of Self-sustainable Wireless Sensor Networks with Energy Harvesting and Wireless Charging.
ACM Trans. Sens. Networks
Pengzhan Zhou, Cong Wang, Yuanyuan Yang
2021 J jnl
Towards Efficient Scheduling of Federated Mobile Devices Under Computational and Statistical Heterogeneity.
IEEE Trans. Parallel Distributed Syst.
Cong Wang, Yuanyuan Yang, Pengzhan Zhou
2020 A* conf
Design and Optimization of Electric Autonomous Vehicles with Renewable Energy Source for Smart Cities.
INFOCOM
Pengzhan Zhou, Cong Wang, Yuanyuan Yang
2020 A conf
E-Sharing: Data-driven Online Optimization of Parking Location Placement for Dockless Electric Bike Sharing.
ICDCS
Pengzhan Zhou, Cong Wang, Yuanyuan Yang, Xin Wei
2020 A conf
Optimize Scheduling of Federated Learning on Battery-powered Mobile Devices.
IPDPS
Cong Wang, Xin Wei, Pengzhan Zhou
2020 J jnl
Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity.
CoRR
Cong Wang, Yuanyuan Yang, Pengzhan Zhou
2019 A* conf
Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy.
IJCAI
Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang
2019 A* conf
Self-sustainable Sensor Networks with Multi-source Energy Harvesting and Wireless Charging.
INFOCOM
Pengzhan Zhou, Cong Wang, Yuanyuan Yang
2019 J jnl
Static and Mobile Target
IEEE Trans. Mob. Comput.
Pengzhan Zhou, Cong Wang, Yuanyuan Yang
2018 B conf
A Stackelberg Game Framework for Mobile Data Gathering in Leasing Residential Sensor Networks.
IWQoS
Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang
2018 B conf
Modeling Dishonest Behavior in Mobile Data Gathering Over Leasing Residential Sensor Networks.
GLOBECOM
Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang
2017 A conf
Leveraging Target k-Coverage in Wireless Rechargeable Sensor Networks.
ICDCS
Pengzhan Zhou, Cong Wang, Yuanyuan Yang