Zhidan Liu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 29

Top Topics

Top Venues

IEEE Trans. Mob. Comput.

IEEE Internet Things J.

IEEE Trans. Intell. Transp. Syst.

Publications

Zhidan Liu, Jiancong Liu, Xiaowen Xu, Kaishun Wu
DeepGPS: Deep Learning Enhanced GPS Positioning in Urban Canyons. IEEE Trans. Mob. Comput. 23 (1) (2024)
Zhidan Liu, Hongquan Zhang, Guofeng Ouyang, Junyang Chen, Kaishun Wu
Data-Driven Pick-Up Location Recommendation for Ride-Hailing Services. IEEE Trans. Mob. Comput. 23 (2) (2024)
Xianjing Wu, Zhidan Liu, Zhenjiang Li, Shengjie Zhao
Greta: Towards a General Roadside Unit Deployment Framework. IEEE Trans. Mob. Comput. 23 (7) (2024)
Junru Zhang, Lang Feng, Zhidan Liu, Yuhan Wu, Yang He, Yabo Dong, Duanqing Xu
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition. CoRR (2024)
Biyao Gong, Tianzhang Xing, Zhidan Liu, Wei Xi, Xiaojiang Chen
Towards Hierarchical Clustered Federated Learning With Model Stability on Mobile Devices. IEEE Trans. Mob. Comput. 23 (6) (2024)
Meiquan Lai, Yaqi Huang, Zhidan Liu, Kaishun Wu
An Optimized Lossless Graph Summarization for Large-Scale Graphs. ICPADS (2023)
Mengzhu Wang, Junyang Chen, Huan Wang, Huisi Wu, Zhidan Liu, Qin Zhang
Interpolation Normalization for Contrast Domain Generalization. ACM Multimedia (2023)
Zhidan Liu, Junhong Zheng, Jinye Lin, Liang Wang, Kaishun Wu
$\mathtt {Radar}$: Adversarial Driving Style Representation Learning With Data Augmentation. IEEE Trans. Mob. Comput. 22 (12) (2023)
Biyao Gong, Tianzhang Xing, Zhidan Liu, Junfeng Wang, Xiuya Liu
Adaptive Clustered Federated Learning for Heterogeneous Data in Edge Computing. Mob. Networks Appl. 27 (4) (2022)
Liang Wang, Zhiwen Yu, Bin Guo, Dingqi Yang, Lianbo Ma, Zhidan Liu, Fei Xiong
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard. ACM Trans. Intell. Syst. Technol. 13 (2) (2022)
Zhidan Liu, Jiangzhou Li, Kaishun Wu
Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Zhidan Liu, Zengyang Gong, Jiangzhou Li, Kaishun Wu
mT-Share: A Mobility-Aware Dynamic Taxi Ridesharing System. IEEE Internet Things J. 9 (1) (2022)
Zhidan Liu, Junhong Zheng, Zengyang Gong, Haodi Zhang, Kaishun Wu
Exploiting Multi-source Data for Adversarial Driving Style Representation Learning. DASFAA (1) (2021)
Zhidan Liu, Zengyang Gong, Jiangzhou Li, Kaishun Wu
Mobility-Aware Dynamic Taxi Ridesharing. ICDE (2020)
Baofu Huang, Zhidan Liu, Kaishun Wu
Accelerating PageRank in Shared-Memory for Efficient Social Network Graph Analytics. ICPADS (2020)
Baofu Huang, Zhidan Liu, Kaishun Wu
Structure Preserved Graph Reordering for Fast Graph Processing Without the Pain. HPCC/DSS/SmartCity (2020)
Shiwei Song, Zhidan Liu, Zhenjiang Li, Tianzhang Xing, Dingyi Fang
Coverage-Oriented Task Assignment for Mobile Crowdsensing. IEEE Internet Things J. 7 (8) (2020)
Zengyang Gong, Bo Du, Zhidan Liu, Wei Zeng, Pascal Perez, Kaishun Wu
SD-seq2seq : A Deep Learning Model for Bus Bunching Prediction Based on Smart Card Data. ICCCN (2020)
Zhidan Liu, Mingliang Huang, Zhi Ye, Kaishun Wu
DeepRTP: A Deep Spatio-Temporal Residual Network for Regional Traffic Prediction. MSN (2019)
Yang Liu, Zhenjiang Li, Zhidan Liu, Kaishun Wu
Real-time Arm Skeleton Tracking and Gesture Inference Tolerant to Missing Wearable Sensors. MobiSys (2019)
Yang Liu, Chengdong Lin, Zhenjiang Li, Zhidan Liu, Kaishun Wu
When Wearable Sensing Meets Arm Tracking. MobiSys (2019)
Zhidan Liu, Pengfei Zhou, Zhenjiang Li, Mo Li
Think Like A Graph: Real-Time Traffic Estimation at City-Scale. IEEE Trans. Mob. Comput. 18 (10) (2019)
Zhidan Liu, Zhenjiang Li, Kaishun Wu
UniTask: A Unified Task Assignment Design for Mobile Crowdsourcing-Based Urban Sensing. IEEE Internet Things J. 6 (4) (2019)
Chu Cao, Zhidan Liu, Mo Li, Wenqiang Wang, Zheng Qin
Walkway discovery from large scale crowdsensing. IPSN (2018)
Zhidan Liu, Zhenjiang Li, Kaishun Wu, Mo Li
Urban Traffic Prediction from Mobility Data Using Deep Learning. IEEE Netw. 32 (4) (2018)
Chu Cao, Zhidan Liu, Mo Li, Wenqiang Wang, Zheng Qin
Walkway discovery from large scale crowdsensing: demo abstract. IPSN (2018)
Zhidan Liu, Shiqi Jiang, Pengfei Zhou, Mo Li
A Participatory Urban Traffic Monitoring System: The Power of Bus Riders. IEEE Trans. Intell. Transp. Syst. 18 (10) (2017)
Zhidan Liu, Zhenjiang Li, Mo Li, Wei Xing, Dongming Lu
Mining Road Network Correlation for Traffic Estimation via Compressive Sensing. IEEE Trans. Intell. Transp. Syst. 17 (7) (2016)
Zhidan Liu, Zhenjiang Li, Mo Li, Wei Xing, Dongming Lu
Path Reconstruction in Dynamic Wireless Sensor Networks Using Compressive Sensing. IEEE/ACM Trans. Netw. 24 (4) (2016)
Bo Zeng, Yabo Dong, Zhidan Liu
A Negotiation-Based TDMA Scheduling with Consecutive Slots Assignment for Wireless Sensor Networks. Int. J. Distributed Sens. Networks 10 (2014)
Zhidan Liu, Zhenjiang Li, Mo Li, Wei Xing, Dongming Lu
Path reconstruction in dynamic wireless sensor networks using compressive sensing. MobiHoc (2014)
Zhidan Liu, Wei Xing, Yongchao Wang, Dongming Lu
Hierarchical Spatial Clustering in Multihop Wireless Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013)
Zhidan Liu, Wei Xing, Bo Zeng, Yongchao Wang, Dongming Lu
Distributed Spatial Correlation-based Clustering for Approximate Data Collection in WSNs. AINA (2013)
Bo Zeng, Yabo Dong, Zhidan Liu, Dongming Lu
A Workload-Aware Link Scheduling for Heterogeneous Wireless Sensor Networks. CyberC (2012)