Selected and Recent Publications

^ refers to the students I have advised or co-advised, * indicates the corresponding author.
Please check the full publication list in Google Scholar or DBLP.

Journal Papers

• [TMC] Xianjing Wu^, Zhidan Liu*, Zhenjiang Li, Shengjie Zhao*. “Greta: Towards A General Roadside Unit Deployment Framework”, IEEE Transactions on Mobile Computing, accepted to appear. (PDF)

• [TMC] Biyao Gong^, Tianzhang Xing*, Zhidan Liu*, Wei Xi, Xiaojiang Chen. “Towards Hierarchical Clustered Federated Learning with Model Stability on Mobile Devices”, IEEE Transactions on Mobile Computing, accepted to appear. (PDF)

• [TBD] Biyao Gong^, Tianzhang Xing*, Zhidan Liu*, Wei Xi, Xiaojiang Chen. “Adaptive Client Clustering for Efficient Federated Learning over Non-IID and Imbalanced Data”, IEEE Transactions on Big Data, accepted to appear. (PDF)

• [TMC] Zhidan Liu, Hongquan Zhang^, Guofeng Ouyang^, Junyang Chen, Kaishun Wu. “Data-Driven Pick-Up Location Recommendation for Ride-Hailing Services”, IEEE Transactions on Mobile Computing, Vol. 23, Issue 2, Pages 1001-1015, February 2024. (PDF)

• [TMC] Zhidan Liu, Jiancong Liu^, Xiaowen Xu^, Kaishun Wu. “DeepGPS: Deep Learning Enhanced GPS Positioning in Urban Canyons”, IEEE Transactions on Mobile Computing, Vol. 23, Issue 1, Pages 376-392, January 2024. (PDF, Codes)

• [TMC] Zhidan Liu, Junhong Zheng^, Jinye Lin^, Liang Wang, Kaishun Wu. “Radar: Adversarial Driving Style Representation Learning with Data Augmentation”, IEEE Transactions on Mobile Computing, Vol. 22, Issue 12, Pages 7070-7085, December 2023. (PDF)

• [CJC] Zhidan Liu, Weixin Lin^, Kaishun Wu. “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”, Chinese Journal of Computers/计算机学报, Vol. 45, Issue 6, Pages 1261-1275, June 2022. (PDF)

• [IOTJ] Zhidan Liu, Zengyang Gong^, Jiangzhou Li^, Kaishun Wu. “mT-Share: A Mobility-Aware Dynamic Taxi Ridesharing System”, IEEE Internet of Things Journal, Vol. 9, Issue 1, Pages 182-198, January 2022. (PDF)

• [TITS] Zhidan Liu, Jiangzhou Li^, Kaishun Wu. “Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning”, IEEE Transactions on Intelligent Transportation Systems, Vol. 23, Issue 3, Pages 1996-2009, March 2022. (PDF, Our simulator)

• [IOTJ] Shiwei Song, Zhidan Liu, Zhenjiang Li, Tianzhang Xing, Dingyi Fang. “Coverage-Oriented Task Assignment for Mobile Crowdsensing”, IEEE Internet of Things Journal, Vol. 7, Issue 8, Pages 7407-7418, April 2020. (PDF)

• [IOTJ] Zhidan Liu, Zhenjiang Li, Kaishun Wu. “UniTask: A Unified Task Assignment Design for Mobile Crowdsourcing based Urban Sensing”, IEEE Internet of Things Journal, Vol.6 Issue 4, Pages 6629-6641, August 2019. (PDF)

• [TMC] Zhidan Liu, Pengfei Zhou, Zhenjiang Li, Mo Li. “Think Like A Graph: Real-Time Traffic Estimation at City-Scale”, IEEE Transactions on Mobile Computing, Vol. 18, Issue 10, Pages 2446-2459, October 2019. (PDF)

• [IEEE Network] Zhidan Liu, Zhenjiang Li, Kaishun Wu, Mo Li. “Urban Traffic Prediction from Mobility Data Using Deep Learning”, IEEE Network Magazine, Vol. 32, Issue 4, Pages 40-46, August 2018. (PDF)

• [TITS] Zhidan Liu, Shiqi Jiang, Pengfei Zhou, and Mo Li. “A Participatory Urban Traffic Monitoring System: The Power of Bus Riders”, IEEE Transactions on Intelligent Transportation Systems, Vol. 18, Issue 10, Pages 2851-2864, October 2017. (PDF)

• [TON] Zhidan Liu, Zhenjiang Li, Mo Li, Wei Xing, and Dongming Lu. “Path Reconstruction in Dynamic Wireless Sensor Networks Using Compressive Sensing”, IEEE/ACM Transactions on Networking, Vol. 24, Issue 4, Pages 1948-1960, August 2016. (PDF)

• [TITS] Zhidan Liu, Zhenjiang Li, Mo Li, Wei Xing, and Dongming Lu. “Mining Road Network Correlation for Traffic Estimation via Compressive Sensing”, IEEE Transactions on Intelligent Transportation Systems, Vol. 17, Issue 7, Pages 1880-1893, July 2016. (PDF)

Conference Papers

• [DASFAA’21] Zhidan Liu, Junhong Zheng^, Zengyang Gong^, Haodi Zhang, Kaishun Wu. “Exploiting Multi-Source Data for Adversarial Driving Style Representation Learning”, In DASFAA, Taipei, Taiwan, April, 2021. (PDF)

• [ICPADS’20] Baofu Huang^, Zhidan Liu*, Kaishun Wu. “Accelerating PageRank in Shared-Memory for Efficient Social Network Graph Analytics”, In IEEE ICPADS, HongKong, China, December, 2020. [Best Paper Award] (PDF, Slides)

• [ICDE’20] Zhidan Liu, Zengyang Gong^, Jiangzhou Li^, Kaishun Wu. “Mobility-Aware Dynamic Taxi Ridesharing”, In IEEE ICDE, Dallas, Texas, USA, April 2020. (PDF, Slides)

• [MobiSys’19] Yang Liu, Zhenjiang Li, Zhidan Liu, Kaishun Wu. “Real-time Arm Skeleton Tracking and Gesture Inference Tolerant to Missing Wearable Sensors”, In ACM MobiSys, Seoul, Republic of Korea, June 2019. (Acceptance Rate: 40/174 = 22%) (PDF, Slides)

• [IPSN’18] Chu Cao^, Zhidan Liu, Mo Li, Qin Zheng, Wenqiang Wang. “Walkway Discovery from Large Scale Crowdsensing”, In ACM/IEEE IPSN, Porto, Portugal, April 2018. (Acceptance Rate: 22/82 = 26%) (PDF, Slides)

• [MobiHoc’14] Zhidan Liu, Zhenjiang Li, Mo Li, Wei Xing, Dongming Lu. “Path Reconstruction in Dynamic Wireless Sensor Networks using Compressive Sensing”, In ACM MobiHoc, Philadelphia, USA, August 2014. (Acceptance Rate: 40/211 = 18%) (PDF, Slides)

Books/Chapters, Posters and Demos

• [Book] Zhidan Liu, Kaishun Wu. “Mobility Data-Driven Urban Traffic Monitoring”, Springer Singapore, May 2021.

• [MobiSys’19] Yang Liu, Chengdong Lin, Zhenjiang Li, Zhidan Liu, Kaishun Wu. “Poster: WhenWearable Sensing Meets Arm Tracking”, In ACM MobiSys, Seoul, Republic of Korea, June 2019. (PDF)

• [IPSN’18] Chu Cao^, Zhidan Liu, Mo Li, Qin Zheng, Wenqiang Wang. “Demo Abstract: Walkway Discovery from Large Scale Crowdsensing”, In ACM/IEEE IPSN, Porto, Portugal, April 2018. (PDF)