Zhidan Liu

According to our database, Zhidan Liu authored at least 35 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Greta: Towards a General Roadside Unit Deployment Framework.

Xianjing Wu, Zhidan Liu, Zhenjiang Li, Shengjie Zhao

IEEE Trans. Mob. Comput., July, 2024

Towards Hierarchical Clustered Federated Learning With Model Stability on Mobile Devices.

Biyao Gong, Tianzhang Xing, Zhidan Liu, Wei Xi, Xiaojiang Chen

IEEE Trans. Mob. Comput., June, 2024

Data-Driven Pick-Up Location Recommendation for Ride-Hailing Services.

Zhidan Liu, Hongquan Zhang, Guofeng Ouyang, Junyang Chen, Kaishun Wu

IEEE Trans. Mob. Comput., February, 2024

DeepGPS: Deep Learning Enhanced GPS Positioning in Urban Canyons.

Zhidan Liu, Jiancong Liu, Xiaowen Xu, Kaishun Wu

IEEE Trans. Mob. Comput., January, 2024

Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition.

Junru Zhang, Lang Feng, Zhidan Liu, Yuhan Wu, Yang He, Yabo Dong, Duanqing Xu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

$\mathtt {Radar}$: Adversarial Driving Style Representation Learning With Data Augmentation.

Zhidan Liu, Junhong Zheng, Jinye Lin, Liang Wang, Kaishun Wu

IEEE Trans. Mob. Comput., December, 2023

Interpolation Normalization for Contrast Domain Generalization.

Mengzhu Wang, Junyang Chen, Huan Wang, Huisi Wu, Zhidan Liu, Qin Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

An Optimized Lossless Graph Summarization for Large-Scale Graphs.

Meiquan Lai, Yaqi Huang, Zhidan Liu, Kaishun Wu

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning.

Zhidan Liu, Jiangzhou Li, Kaishun Wu

IEEE Trans. Intell. Transp. Syst., 2022

Data-driven Targeted Advertising Recommendation System for Outdoor Billboard.

Liang Wang, Zhiwen Yu, Bin Guo, Dingqi Yang, Lianbo Ma, Zhidan Liu, Fei Xiong

ACM Trans. Intell. Syst. Technol., 2022

Adaptive Clustered Federated Learning for Heterogeneous Data in Edge Computing.

Biyao Gong, Tianzhang Xing, Zhidan Liu, Junfeng Wang, Xiuya Liu

Mob. Networks Appl., 2022

mT-Share: A Mobility-Aware Dynamic Taxi Ridesharing System.

Zhidan Liu, Zengyang Gong, Jiangzhou Li, Kaishun Wu

IEEE Internet Things J., 2022

Subgraph Sampling for Inductive Sparse Cloud Services QoS Prediction.

Jianlong Xu, Zhiyu Xia, Yuhui Li, Yuxiang Zeng, Zhidan Liu

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

2021

Mobility Data-Driven Urban Traffic Monitoring

Zhidan Liu, Kaishun Wu

Springer Briefs in Computer Science, Springer, ISBN: 978-981-16-2240-3, 2021

Exploiting Multi-source Data for Adversarial Driving Style Representation Learning.

Zhidan Liu, Junhong Zheng, Zengyang Gong, Haodi Zhang, Kaishun Wu

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Coverage-Oriented Task Assignment for Mobile Crowdsensing.

Shiwei Song, Zhidan Liu, Zhenjiang Li, Tianzhang Xing, Dingyi Fang

IEEE Internet Things J., 2020

Accelerating PageRank in Shared-Memory for Efficient Social Network Graph Analytics.

Baofu Huang, Zhidan Liu, Kaishun Wu

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Mobility-Aware Dynamic Taxi Ridesharing.

Zhidan Liu, Zengyang Gong, Jiangzhou Li, Kaishun Wu

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

SD-seq2seq : A Deep Learning Model for Bus Bunching Prediction Based on Smart Card Data.

Zengyang Gong, Bo Du, Zhidan Liu, Wei Zeng, Pascal Perez, Kaishun Wu

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Structure Preserved Graph Reordering for Fast Graph Processing Without the Pain.

Baofu Huang, Zhidan Liu, Kaishun Wu

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019

Think Like A Graph: Real-Time Traffic Estimation at City-Scale.

Zhidan Liu, Pengfei Zhou, Zhenjiang Li, Mo Li

IEEE Trans. Mob. Comput., 2019

UniTask: A Unified Task Assignment Design for Mobile Crowdsourcing-Based Urban Sensing.

Zhidan Liu, Zhenjiang Li, Kaishun Wu

IEEE Internet Things J., 2019

DeepRTP: A Deep Spatio-Temporal Residual Network for Regional Traffic Prediction.

Zhidan Liu, Mingliang Huang, Zhi Ye, Kaishun Wu

Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019

Real-time Arm Skeleton Tracking and Gesture Inference Tolerant to Missing Wearable Sensors.

Yang Liu, Zhenjiang Li, Zhidan Liu, Kaishun Wu

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

When Wearable Sensing Meets Arm Tracking.

Yang Liu, Chengdong Lin, Zhenjiang Li, Zhidan Liu, Kaishun Wu

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

2018

Urban Traffic Prediction from Mobility Data Using Deep Learning.

Zhidan Liu, Zhenjiang Li, Kaishun Wu, Mo Li

IEEE Netw., 2018

Walkway discovery from large scale crowdsensing: demo abstract.

Chu Cao, Zhidan Liu, Mo Li, Wenqiang Wang, Zheng Qin

Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

Walkway discovery from large scale crowdsensing.

Chu Cao, Zhidan Liu, Mo Li, Wenqiang Wang, Zheng Qin

Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

2017

A Participatory Urban Traffic Monitoring System: The Power of Bus Riders.

Zhidan Liu, Shiqi Jiang, Pengfei Zhou, Mo Li

IEEE Trans. Intell. Transp. Syst., 2017

2016

Path Reconstruction in Dynamic Wireless Sensor Networks Using Compressive Sensing.

Zhidan Liu, Zhenjiang Li, Mo Li, Wei Xing, Dongming Lu

IEEE/ACM Trans. Netw., 2016

Mining Road Network Correlation for Traffic Estimation via Compressive Sensing.

Zhidan Liu, Zhenjiang Li, Mo Li, Wei Xing, Dongming Lu

IEEE Trans. Intell. Transp. Syst., 2016

2014

A Negotiation-Based TDMA Scheduling with Consecutive Slots Assignment for Wireless Sensor Networks.

Bo Zeng, Yabo Dong, Zhidan Liu

Int. J. Distributed Sens. Networks, 2014

2013

Hierarchical Spatial Clustering in Multihop Wireless Sensor Networks.

Zhidan Liu, Wei Xing, Yongchao Wang, Dongming Lu

Int. J. Distributed Sens. Networks, 2013

Distributed Spatial Correlation-based Clustering for Approximate Data Collection in WSNs.

Zhidan Liu, Wei Xing, Bo Zeng, Yongchao Wang, Dongming Lu

Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications, 2013

2012

A Workload-Aware Link Scheduling for Heterogeneous Wireless Sensor Networks.

Bo Zeng, Yabo Dong, Zhidan Liu, Dongming Lu

Proceedings of the 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2012