Publications

Publications by categories in reversed chronological order, generated by jekyll-scholar.

* Corresponding author  ·  Students / RAs under my supervision  ·  Bold = me

2026

  1. Heterogeneous Multi-Modal Multi-Label Behavioral Context Recognition Using Wearable Sensors and Mobile Devices
    Haodong Liu, Ye Zhang, Zhidan Liu, and 2 more authors
    IEEE Transactions on Computational Social Systems, 2026
  2. A Two-Stage Imputation Method for Urban Traffic Data Based on Sparse Spatiotemporal Attention
    Jiyu Wang† and Zhidan Liu*
    IEEE Transactions on Intelligent Transportation Systems, 2026
  3. ArmPad: Transforming Forearms into Interaction Interfaces with Smartwatches
    Zhenyu Yang†, Qiang Yang, Zhidan Liu*, and 3 more authors
    IEEE Transactions on Mobile Computing, 2026
  4. Spatio-Temporal Diffusion Model for Cellular Traffic Generation
    Xiaosi Liu†, Xiaowen Xu†, Zhidan Liu*, and 2 more authors
    IEEE Transactions on Mobile Computing, 2026
  5. RiskTraf: Risk-Extrapolated Residual Learning for Multi-Variate Traffic Flow Prediction
    Guangyu Wang† and Zhidan Liu*
    In ACM CIKM, 2026
  6. ExoMem: OS-Governed Memory for Local Large-LLM Inference on Mobile Edge Devices
    Jun You, Kun Wang, Jiesong Chen, and 2 more authors
    In ACM MobiCom, 2026
  7. Orchestrating Reasoning and Reaction: An Asynchronous Hierarchical Framework for LLM-driven Traffic Signal Control
    Fansheng Sun†, Jiyu Wang†, and Zhidan Liu*
    In ACM KDD, 2026
  8. MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments
    Quyu Kong, Xu Zhang, Zhenyu Yang†, and 10 more authors
    In ACL, 2026
  9. MTO: A Multi-turn Conversational Text-to-OverpassQL Dataset for Enhanced OpenStreetMap Query Generation
    Haodi Zhang, Xinrui Zhu, Mingze Kong, and 4 more authors
    In ACL, 2026

2025

  1. Regional Knowledge Transfer for Urban Traffic Flow Prediction via Satellite Imagery Assisted Contrastive Domain Adaptation
    Zhidan Liu, Zhengze Sun†, Junru Zhang, and 2 more authors
    IEEE Transactions on Intelligent Transportation Systems, 2025
  2. Enabling Effective OOD Detection via Plug-and-Play Network for Mobile Visual Applications
    Zixiao Wang, Qi Dong, Tianzhang Xing*, and 3 more authors
    IEEE Transactions on Mobile Computing, 2025
  3. DI2SDiff++: Activity Style Decomposition and Diffusion-Based Fusion for Cross-Person Generalization in Activity Recognition
    Junru Zhang, Cheng Peng, Zhidan Liu, and 4 more authors
    IEEE Transactions on Mobile Computing, 2025
  4. Joint Order Dispatching and Vehicle Repositioning for Dynamic Ridesharing
    Zhidan Liu, Guofeng Ouyang†, Bolin Zhang†, and 3 more authors
    IEEE Transactions on Mobile Computing, 2025
  5. Learning Road Network Index Structure for Efficient Map Matching
    Zhidan Liu, Yingqian Zhou†, Xiaosi Liu†, and 4 more authors
    IEEE Transactions on Knowledge and Data Engineering, 2025
  6. Accelerating Graph Similarity Search with Maximum Common Subgraphs
    Yaqi Huang†, Zhengze Sun†, and Zhidan Liu*
    In The 20th International Conference on Green, Pervasive, and Cloud Computing (GPC), 2025
  7. Poster: Diffusion-Driven Spatio-Temporal Modeling of Cellular Traffic Generation
    Xiaowen Xu†, Xiaosi Liu†, Zhidan Liu*, and 2 more authors
    In ACM MobiCom, 2025
  8. DSETA: Driving Style-Aware Estimated Time of Arrival
    Bolin Zhang† and Zhidan Liu*
    In ACM CIKM, 2025

2024

  1. Adaptive Client Clustering for Efficient Federated Learning over Non-IID and Imbalanced Data
    Biyao Gong, Tianzhang Xing*, Zhidan Liu*, and 2 more authors
    IEEE Transactions on Big Data, 2024
  2. Greta: Towards A General Roadside Unit Deployment Framework
    Xianjing Wu, Zhidan Liu*, Zhenjiang Li, and 1 more author
    IEEE Transactions on Mobile Computing, 2024
  3. Towards Hierarchical Clustered Federated Learning with Model Stability on Mobile Devices
    Biyao Gong, Tianzhang Xing*, Zhidan Liu*, and 2 more authors
    IEEE Transactions on Mobile Computing, 2024
  4. Data-Driven Pick-Up Location Recommendation for Ride-Hailing Services
    Zhidan Liu, Hongquan Zhang†, Guofeng Ouyang†, and 2 more authors
    IEEE Transactions on Mobile Computing, 2024
  5. DeepGPS: Deep Learning Enhanced GPS Positioning in Urban Canyons
    Zhidan Liu, Jiancong Liu†, Xiaowen Xu†, and 1 more author
    IEEE Transactions on Mobile Computing, 2024
  6. Towards Efficient Ridesharing via Order-Vehicle Pre-Matching Using Attention Mechanism
    Zhidan Liu, Jinye Lin†, Zhiyu Xia†, and 2 more authors
    In IEEE ICDM, 2024
  7. Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition
    Junru Zhang, Lang Feng, Zhidan Liu, and 4 more authors
    In ACM KDD, 2024

2023

  1. Radar: Adversarial Driving Style Representation Learning with Data Augmentation
    Zhidan Liu, Junhong Zheng†, Jinye Lin†, and 2 more authors
    IEEE Transactions on Mobile Computing, 2023
  2. An Optimized Lossless Graph Summarization for Large-Scale Graphs
    Meiquan Lai†, Yaqi Huang†, Zhidan Liu*, and 1 more author
    In ICPADS, 2023

2022

  1. A Spatial Structure Matching Algorithm for Large Spatial-Textual Datasets/ 一种面向大规模空间文本数据的空间结构匹配算法
    Zhidan Liu, Weixin Lin†, and Kaishun Wu
    Chinese Journal of Computers/计算机学报, 2022
  2. Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning
    Zhidan Liu, Jiangzhou Li†, and Kaishun Wu
    IEEE Transactions on Intelligent Transportation Systems, 2022
  3. Data-Driven Targeted Advertising Recommendation System for Outdoor Billboard
    Liang Wang, Zhiwen Yu, Bin Guo, and 4 more authors
    ACM Transactions on Intelligent Systems and Technology, 2022
  4. mT-Share: A Mobility-Aware Dynamic Taxi Ridesharing System
    Zhidan Liu, Zengyang Gong†, Jiangzhou Li†, and 1 more author
    IEEE Internet of Things Journal, 2022
  5. Adaptive Clustered Federated Learning for Heterogeneous Data in Edge Computing
    Biyao Gong, Tianzhang Xing*, Zhidan Liu*, and 2 more authors
    Mobile Networks and Applications, 2022

2021

  1. Exploiting Multi-Source Data for Adversarial Driving Style Representation Learning
    Zhidan Liu, Junhong Zheng†, Zengyang Gong†, and 2 more authors
    In DASFAA, 2021
  2. Mobility Data-Driven Urban Traffic Monitoring
    Zhidan Liu and Kaishun Wu
    2021

2020

  1. Coverage-Oriented Task Assignment for Mobile Crowdsensing
    Shiwei Song, Zhidan Liu, Zhenjiang Li, and 2 more authors
    IEEE Internet of Things Journal, 2020
  2. Mobility-Aware Dynamic Taxi Ridesharing
    Zhidan Liu, Zengyang Gong†, Jiangzhou Li†, and 1 more author
    In IEEE ICDE, 2020
  3. Accelerating PageRank in Shared-Memory for Efficient Social Network Graph Analytics
    Baofu Huang†, Zhidan Liu*, and Kaishun Wu
    In ICPADS, 2020
  4. Structure Preserved Graph Reordering for Fast Graph Processing Without the Pain
    Baofu Huang†, Zhidan Liu*, and Kaishun Wu
    In IEEE HPCC, 2020
  5. SD-seq2seq : A Deep Learning Model for Bus Bunching Prediction Based on Smart Card Data
    Zengyang Gong†, Bo Du, Zhidan Liu, and 3 more authors
    In ICCCN’20, 2020

2019

  1. Think Like A Graph: Real-Time Traffic Estimation at City-Scale
    Zhidan Liu, Pengfei Zhou, Zhenjiang Li, and 1 more author
    IEEE Transactions on Mobile Computing, 2019
  2. UniTask: A Unified Task Assignment Design for Mobile Crowdsourcing based Urban Sensing
    Zhidan Liu, Zhenjiang Li, and Kaishun Wu
    IEEE Internet of Things Journal, 2019
  3. Real-time Arm Skeleton Tracking and Gesture Inference Tolerant to Missing Wearable Sensors
    Yang Liu, Zhenjiang Li, Zhidan Liu, and 1 more author
    In ACM MobiSys, 2019
  4. DeepRTP: A Deep Spatio-Temporal Residual Network for Regional Traffic Prediction
    Zhidan Liu, Mingliang Huang†, Zhi Ye†, and 1 more author
    In MSN’19, 2019
  5. Poster: WhenWearable Sensing Meets Arm Tracking
    Yang Liu, Chengdong Lin, Zhenjiang Li, and 2 more authors
    In ACM MobiSys, 2019

2018

  1. Urban Traffic Prediction from Mobility Data Using Deep Learning
    Zhidan Liu, Zhenjiang Li, Kaishun Wu, and 1 more author
    IEEE Network Magazine, 2018
  2. Walkway Discovery from Large Scale Crowdsensing
    Chu Cao, Zhidan Liu, Mo Li, and 2 more authors
    In ACM/IEEE IPSN, 2018
  3. Demo Abstract: Walkway Discovery from Large Scale Crowdsensing
    Chu Cao, Zhidan Liu, Mo Li, and 2 more authors
    In ACM/IEEE IPSN, 2018

2017

  1. A Participatory Urban Traffic Monitoring System: The Power of Bus Riders
    Zhidan Liu, Shiqi Jiang, Pengfei Zhou, and 1 more author
    IEEE Transactions on Intelligent Transportation Systems, 2017

2016

  1. Path Reconstruction in Dynamic Wireless Sensor Networks Using Compressive Sensing
    Zhidan Liu, Zhenjiang Li, Mo Li, and 2 more authors
    IEEE/ACM Transactions on Networking, 2016
  2. Mining Road Network Correlation for Traffic Estimation via Compressive Sensing
    Zhidan Liu, Zhenjiang Li, Mo Li, and 2 more authors
    IEEE Transactions on Intelligent Transportation Systems, 2016

2014

  1. A Negotiation-Based TDMA Scheduling with Consecutive Slots Assignment for Wireless Sensor Networks
    Bo Zeng, Yabo Dong, and Zhidan Liu
    IJDSN, 2014
  2. Path Reconstruction in Dynamic Wireless Sensor Networks using Compressive Sensing
    Zhidan Liu, Zhenjiang Li, Mo Li, and 2 more authors
    In ACM MobiHoc, 2014

2013

  1. Hierarchical Spatial Clustering in Multihop Wireless Sensor Networks
    Zhidan Liu, Wei Xing, Yongchao Wang, and 1 more author
    IJDSN, 2013