Ziquan Fang

According to our database, Ziquan Fang authored at least 26 papers between 2019 and 2024.

Collaborative distances:

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

2024

<i>Camel:</i> Efficient Compression of Floating-Point Time Series.

Yuanyuan Yao, Lu Chen, Ziquan Fang, Yunjun Gao, Christian S. Jensen, Tianyi Li

Proc. ACM Manag. Data, December, 2024

Estimator: An Effective and Scalable Framework for Transportation Mode Classification Over Trajectories.

Danlei Hu, Ziquan Fang, Hanxi Fang, Tianyi Li, Chunhui Shen, Lu Chen, Yunjun Gao

IEEE Trans. Intell. Transp. Syst., November, 2024

Spatio-Temporal Learning for Route-Based Travel Time Estimation.

Ziquan Fang, Qichen Sun, Lu Chen, Danlei Hu, Yunjun Gao

J. Comput. Sci. Technol., September, 2024

Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study.

Danlei Hu, Lu Chen, Hanxi Fang, Ziquan Fang, Tianyi Li, Yunjun Gao

IEEE Trans. Knowl. Data Eng., May, 2024

An Efficient and Distributed Framework for Real-Time Trajectory Stream Clustering.

Yunjun Gao, Ziquan Fang, Jiachen Xu, Shenghao Gong, Chunhui Shen, Lu Chen

IEEE Trans. Knowl. Data Eng., May, 2024

TrajRecovery: An Efficient Vehicle Trajectory Recovery Framework based on Urban-Scale Traffic Camera Records.

Dongen Wu, Ziquan Fang, Qichen Sun, Lu Chen, Haiyang Hu, Fei Wang, Yunjun Gao

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

FedCTQ: A Federated-Based Framework for Accurate and Efficient Contact Tracing Query.

Zhihao Zeng, Ziquan Fang, Lu Chen, Yunjun Gao, Kai Zheng, Gang Chen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Real-Time Trajectory Synthesis with Local Differential Privacy.

Yujia Hu, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, Yunjun Gao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Distributed Temporal Graph Neural Network Learning over Large-Scale Dynamic Graphs.

Ziquan Fang, Qichen Sun, Qilong Wang, Lu Chen, Yunjun Gao

Proceedings of the Database Systems for Advanced Applications, 2024

LagCNN: A Fast yet Effective Model for Multivariate Long-term Time Series Forecasting.

Linsen Li, Chunfei Jian, Feng Wan, Dongdong Geng, Ziquan Fang, Lu Chen, Yunjun Gao, Weihao Jiang, Jiang Zhu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

MetaKG: Meta-Learning on Knowledge Graph for Cold-Start Recommendation.

Yuntao Du, Xinjun Zhu, Lu Chen, Ziquan Fang, Yunjun Gao

IEEE Trans. Knowl. Data Eng., October, 2023

LDPTrace: Locally Differentially Private Trajectory Synthesis.

Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng, Yunjun Gao

Proc. VLDB Endow., 2023

Ghost: A General Framework for High-Performance Online Similarity Queries over Distributed Trajectory Streams.

Ziquan Fang, Shenghao Gong, Lu Chen, Jiachen Xu, Yunjun Gao, Christian S. Jensen

Proc. ACM Manag. Data, 2023

CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution.

Yuxiang Guo, Lu Chen, Zhengjie Zhou, Baihua Zheng, Ziquan Fang, Zhikun Zhang, Yuren Mao, Yunjun Gao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration.

Zhihao Zeng, Yuntao Du, Ziquan Fang, Lu Chen, Shiliang Pu, Guodong Chen, Hui Wang, Yunjun Gao

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Lightweight Framework for Fast Trajectory Simplification.

Ziquan Fang, Changhao He, Lu Chen, Danlei Hu, Qichen Sun, Linsen Li, Yunjun Gao

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Self-Guided Learning to Denoise for Robust Recommendation.

Yunjun Gao, Yuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Ziquan Fang, Baihua Zheng

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Spatio-Temporal Trajectory Similarity Learning in Road Networks.

Ziquan Fang, Yuntao Du, Xinjun Zhu, Danlei Hu, Lu Chen, Yunjun Gao, Christian S. Jensen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

When Transfer Learning Meets Cross-City Urban Flow Prediction: Spatio-Temporal Adaptation Matters.

Ziquan Fang, Dongen Wu, Lu Pan, Lu Chen, Yunjun Gao

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Dragoon: a hybrid and efficient big trajectory management system for offline and online analytics.

Ziquan Fang, Lu Chen, Yunjun Gao, Lu Pan, Christian S. Jensen

VLDB J., 2021

MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data.

Ziquan Fang, Lu Pan, Lu Chen, Yuntao Du, Yunjun Gao

Proc. VLDB Endow., 2021

ST2Vec: Spatio-Temporal Trajectory Similarity Learning in Road Networks.

Ziquan Fang, Yuntao Du, Xinjun Zhu, Lu Chen, Yunjun Gao, Christian S. Jensen

CoRR, 2021

E²DTC: An End to End Deep Trajectory Clustering Framework via Self-Training.

Ziquan Fang, Yuntao Du, Lu Chen, Yujia Hu, Yunjun Gao, Gang Chen

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

CoMing: A Real-time Co-Movement Mining System for Streaming Trajectories.

Ziquan Fang, Yunjun Gao, Lu Pan, Lu Chen, Xiaoye Miao, Christian S. Jensen

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Real-time Distributed Co-Movement Pattern Detection on Streaming Trajectories.

Lu Chen, Yunjun Gao, Ziquan Fang, Xiaoye Miao, Christian S. Jensen, Chenjuan Guo

Proc. VLDB Endow., 2019

Demonstration of improvement of specific on-resistance versus breakdown voltage tradeoff for low-voltage power LDMOS.

Zhaozhao Xu, Donghua Liu, Jun Hu, Feng Jin, Xinjie Yang, Wenting Duan, Wei Yue, Ziquan Fang, Wensheng Qian, Weiran Kong, Shichang Zou

Microelectron. J., 2019