Publications

Google Scholar or DBLP
* Corresponding author, Students/RAs under my supervision.

2024

• [TMC] Zhidan Liu*, Guofeng Ouyang, Bolin Zhang, Bo Du, Chao Chen, Kaishun Wu. “Joint Order Dispatching and Vehicle Repositioning for Dynamic Ridesharing”, IEEE Transactions on Mobile Computing, Vol. 1, Issue 1, Pages 1-16, November 2024 [Accepted to appear]. (PDF)

• [TKDE] Zhidan Liu, Yingqian Zhou, Xiaosi Liu, Haodi Zhang, Yabo Dong, Dongming Lu, Kaishun Wu. “Learning Road Network Index Structure for Efficient Map Matching”, IEEE Transactions on Knowledge and Data Engineering, Vol. 1, Issue 1, Pages 1-15, October 2024 [Accepted to appear]. (PDF, Codes)

• [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, Vol. 1, Issue 1, Pages 1-15, April 2022 [Accepted to appear]. (PDF)

• [ICDM] Zhidan Liu, Jinye Lin, Zhiyu Xia, Chao Chen, and Kaishun Wu. “Towards Efficient Ridesharing via Order-Vehicle Pre-Matching Using Attention Mechanism”, In IEEE ICDM, Abu Dhabi, UAE, December 2024. (Accepted to appear, Acceptance Rate: 66/604 = 11%) (PDF)

• [KDD] 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”, In ACM KDD, Barcelona, Spain, August 2024. (Acceptance Rate: ~20%) (PDF)

• [TMC] Xianjing Wu, Zhidan Liu*, Zhenjiang Li, Shengjie Zhao*. “Greta: Towards A General Roadside Unit Deployment Framework”, IEEE Transactions on Mobile Computing, Vol. 23, Issue 7, Pages 7602-7617, July 2024. (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, Vol. 23, Issue 6, Pages 7148-7164, June 2024. (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)

2023 and before

» Journal Papers

• [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)

• [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)

• [TIST] Liang Wang, Zhiwen Yu, Bin Guo, Dingqi Yang, Lianbo Ma, Zhidan Liu, Fei Xiong. “Data-Driven Targeted Advertising Recommendation System for Outdoor Billboard”, ACM Transactions on Intelligent Systems and Technology, Vol. 13, No. 2, Article 29, Pages 1-23, January 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)

• [MONE] Biyao Gong^, Tianzhang Xing*, Zhidan Liu*, Junfeng Wang, Xiuya Liu. “Adaptive Clustered Federated Learning for Heterogeneous Data in Edge Computing”, Mobile Networks and Applications, DOI:https://doi.org/10.1007/s11036-022-01978-8, 2022. (PDF)

• [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)

• [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)

• [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)

• [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)

• [IJDSN] Bo Zeng, Yabo Dong, Zhidan Liu, “A Negotiation-Based TDMA Scheduling with Consecutive Slots Assignment for Wireless Sensor Networks”, International Journal of Distributed Sensor Networks, 2014.

• [IJDSN] Zhidan Liu, Wei Xing, Yongchao Wang, Dongming Lu, “Hierarchical Spatial Clustering in Multihop Wireless Sensor Networks”, International Journal of Distributed Sensor Networks, 2013.

» Conference Papers

• [ICPADS’23] Meiquan Lai, Yaqi Huang, Zhidan Liu*, Kaishun Wu. “An Optimized Lossless Graph Summarization for Large-Scale Graphs”, In IEEE ICPADS, Ocean Flower Island, Hainan, China, December 2023. (PDF)

• [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, China, April 2021. (PDF)

• [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)

• [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)

• [HPCC’20] Baofu Huang, Zhidan Liu*, Kaishun Wu, “Structure Preserved Graph Reordering for Fast Graph Processing Without the Pain”, In IEEE HPCC, Fiji, December, 2020. (Acceptance Rate: 58/379 = 15%) (PDF)

• [ICCCN’20] 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”, In IEEE ICCCN, Honolulu, Hawaii, USA, August 2020. (PDF)

• [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%) (Acceptance Rate: 40/172 = 23%) (PDF, Slides)

• [MSN’19] Zhidan Liu, Mingliang Huang, Zhi Ye, Kaishun Wu, “DeepRTP: A Deep Spatio-Temporal Residual Network for Regional Traffic Prediction”, In IEEE MSN, Hong Kong, China, December 2019. (Invited paper) (PDF)

• [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)