Welcome to Rui Zhang's Homepage

Short Biography

Rui Zhang is an Associate Professor in School of Computer Science and Technology at Wuhan University of Technology, China. She received the M.S. degree and Ph.D. degree in Computer Science from Huazhong University of Science and Technology, China. From 2013 to 2014, she was a Visiting Scholar with the College of Computing, Georgia Institute of Technology, USA. Her research interests include algorithms and applications for machine learning and deep networks, mobile data analytics and services, as well as privacy, trust, and data management issues in big data systems.

Openings. I am looking for highly self-driven M.S./undergraduate students. Solid background in programming or mathematics is a big plus. If you are interested, feel free to drop me an email at zhangrui@whut.edu.cn.

Publications

Journal Papers

Rui Zhang, Hanyue Wu, Zhenzhong Yin, Zhu Xiao, Yong Xiong, Kezhong Liu*. Predictive clustering of vessel behavior based on hierarchical trajectory representation [J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(12): 19496-19506.

Rui Zhang, Haitao Ren, Zhipei Yu, Zhu Xiao, Kezhong Liu*, Hongbo Jiang. Self-supervised vessel trajectory segmentation via learning spatio-temporal semantics [J]. IET Intelligent Transportation Systems, 2024, 18: 2242-2254.

Gaoyang Liu, Tianlong Xu, Rui Zhang, Zixiong Wang, Chen Wang, Ling Liu. Gradient-leaks: Enabling black-box membership inference attacks against machine learning models [J]. IEEE Transactions on Information Forensics and Security, 2024, 19: 427-440.

Chen Wang, Mengting Yuan, Rui Zhang, Kai Peng, Ling Liu. Efficient point-of-interest recommendation services with heterogenous hypergraph embedding [J]. IEEE Transactions on Services Computing, 2023, 16(2): 1132-43.

Rui Zhang, Xiaojie Li, Yifan Zhuo, Kezhong Liu, Xian Zhong, Shaohua Wan*. Generating live commentary for marine traffic scenarios based on multi-model learning [J]. Computer Communications, 2023, 205: 69-78.

Wangchen Long, Tao Li, Zhu Xiao*, Dong Wang, Rui Zhang, Amelia Regan, Hongyang Chen, Yongdong Zhu. Location prediction for individual vehicles via exploiting travel regularity and preference [J]. IEEE Transactions on Vehicular Technology, 2022.

Jing Bai, Wei Shi, Zhu Xiao*, Amelia C. Regan, Talal Ahmed Ali Ali, Yongdong Zhu, Rui Zhang, Licheng Jiao. Hyperspectral image classification based on superpixel feature subdivision and adaptive graph structure [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-15.

Zichuan Liu, Rui Zhang*, Chen Wang, Zhu Xiao*, Hongbo Jiang. Spatial-temporal conv-sequence learning with accident encoding for traffic flow prediction [J]. IEEE Transactions on Network Science and Engineering, 2022, 9 (3): 1765-1775.

Zhonghui Hu, Rui Zhang*, Xichang Li, Zhipei Yu, Xiaojie Li, Wenfeng Zhao. Conflict detection in task heterogeneous information networks [J]. Web Intelligence, 2022, 22(1): 21-35.

Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang*, Ling Liu. De-Pois: An attack-agnostic defense against data poisoning attacks [J]. IEEE Transactions on Information Forensics and Security. 2021, 16: 3412-3425.

Xuxin Zhang, Jian Chen, Rui Zhang, Chen Wang*, Ling Liu. Attacking recommender systems with plausible profiles [J]. IEEE Transactions on Information Forensics and Security, 2021, 16: 4788-4800.

Zhu Xiao, Shenyuan Xu, Tao Li*, Rui Zhang*, Hongbo Jiang, Amelia Regan, Hongyang Chen. On extracting regular travel behavior of private cars based on trajectory data analysis [J]. IEEE Transactions on Vehicular Technology, 2020, 69(12): 14537-14549.

Rui Zhang, Guifa Zhang, Lan Liu, Chen Wang, Shaohua Wan. Anomaly detection in bitcoin information networks with multi-constrained meta path [J]. Journal of Systems Architecture, 2020, 10.

Gaoyang Liu, Rui Zhang, Yang Yang, Chen Wang*, Ling Liu. GPS spoofed or not? Exploiting rssi and tss in crowdsourced air traffic control data [J]. Springer Distributed and Parallel Databases - Special Issue on Best Papers of MDM 2019, Invited Paper, 2020, 39(1): 231-257.

Rui Zhang, Peng Xie, Chen Wang, Gaoyang Liu, Shaohua Wan*. Classifying transportation mode and speed from trajectory data via deep multi-scale learning [J]. Computer Networks, 2019, 162(10): 106861.

Rui Zhang, Wenping Liu, Yufu Jia, Guoyin Jiang, Jing Xing, Hongbo Jiang, Jiangchuan Liu*. WiFi sensing based real-time bus tracking and arrival time prediction in urban environments [J]. IEEE Sensors Journal, 2018, 18(11): 4746-4760.

Zhenhua Tang, Yadan Luo, Rui Zhang*, Hongbo Jiang. Motion saliency detection for compressed videos [J]. Journal of Electronic Imaging, 2017, 26(5): 053018-1 - 053018-8.

Chen Wang*, Hongzhi Lin, Rui Zhang, Hongbo Jiang. SEND: A situation-aware emergency navigation algorithm with sensor networks [J]. IEEE Transactions on Mobile Computing, 2017, 16(4): 1149-1162.

Rui Zhang, Guifa Zhang, Jiming Guo, Hongbo Jiang. Constrained anomaly detection in heterogeneous information networks with rich attributes [J]. Journal of Huazhong University of Science and Technology, 2017, 45: 26-31.

Wenping Liu, Qiangong Tao, Rui Zhang*, Hongbo Jiang, Yubao Wang, Jing Xing, Lei Wang, Zhilin Geng. ESP: Evaluation-based skeleton pruning in sensor networks [J]. IEEE Sensors Journal, 2016, 16(11): 4605-4613.

Wei Wei, Chen Wang, Hongzhi Lin*, Rui Zhang, Hongbo Jiang. A novel networking architecture for mobile content delivery in urban transport systems [J]. ACM/Springer Wireless Networks, 2016, 22 (2): 427-438.

Lin, Hongzhi, Wei Wei, Ping Zhao, Xiaoqiang Ma*, Rui Zhang, Wenping Liu, Tianping Deng, Kai Peng. Energy-efficient compressed data aggregation in underwater acoustic sensor networks [J]. Wireless Networks, 2016, 22(6): 1985-1997.

Conference Papers

Xinyu Chen, Lin Li, Rui Zhang, Peng Liang. On unified prompt tuning for request quality assurance in public code review [C]. In Proceedings of the Database Systems for Advanced Applications, 2024, pp. 190-207.

Zhipei Yu, Hanyue Wu, Zhenzhong Yin, Kezhong Liu, Rui Zhang*. Vessel trajectory segmentation: A survey [C]. In Proceedings of the International Conference on Database Systems for Advanced Applications, 2023, pp. 166-180.

Xu Yan, Xian Zhong, Zhengwei Yang, Rui Zhang, Wenxin Huang, Wang Zheng. Global temporal attention optimization for human trajectory prediction [C]. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2022, pp. 184-189.

Zichuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang*. Multi-view spatial-temporal model for travel time estimation [C]. In Proceedings of the International Conference on Advances in Geographic Information Systems, 2021, pp. 646–649.

Ruxue Wen, Rui Zhang, Kai Peng, Wang Chen. Protecting locations with differential privacy against location-dependent attacks in continuous LBS queries [C]. In Proceedings of the IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 2021, pp. 379-386.

Xiaofeng Wu, Rui Zhang*, Lin Li. Clustering trajectories via sparse auto-encoders [C]. In Proceedings of the International Conference on Multimedia Information Processing and Retrieval, 2021, pp. 260-266.

Pakindessama M. Konkobo, Rui Zhang, Siyuan Huang, Toussida T. Minoungou, Jose A. Ouedraogo, Lin Li. A deep learnning model for early detection of fake news on social media [C]. In Proceedings of the International Conference on Behavioural and Social Computing, 2020, pp. 1-6.

Rui Zhang, Yacheng Rong, Zilong Wu, Yifan Zhuo. Trajectory similarity assessment on road networks via embedding learning [C]. In Proceedings of the International Conference on Multimedia Big Data, 2020, pp. 1-8.

Zilong Wu, Siyuan Huang, Rui Zhang, Lin Li. Video review analysis via transformer-based sentiment change detection [C]. In Proceedings of the IEEE Conference on Multimedia Information Processing and Retrieval, 2020, pp. 330-335.

Pakindessama M. Konkobo, Rui Zhang, Siyuan Huang, Toussida T. Minoungou, Jose A. Ouedraogo, Li Lin. A deep learning model for early detection of fake news on social media [C]. In Proceedings of the International Conference, 2020, pp. 1-6.

Rui Zhang, Jiming Guo, Hongbo Jiang*, Peng Xie, Chen Wang. Multi-task learning for location prediction with deep multi-model ensembles [C]. In Proceedings of the IEEE International Conference on High Performance Computing and Communications, 2019, pp. 1093-1100.

Shengqiong Yuan, Luo Zhong, Lin Li, Rui Zhang. Automatic generation of chinese couplets with attention based encoder-decoder model [C]. In Proceedings of the IEEE Conference on Multimedia Information Processing and Retrieval, 2019, pp. 65-70.

Rui Zhang, Peng Xie, Hongbo Jiang*, Chen Wang, Zhu Xiao, Ling Liu. Clustering noisy trajectories via robust deep attention auto-encoders [C]. In Proceedings of the IEEE International Conference on Mobile Data Management, 2019, pp. 63-71.

Gaoyang Liu, Rui Zhang, Chen Wang, Ling Liu. Synchronization-free GPS spoofing detection with crowdsourced air traffic control data [C]. In Proceedings of the IEEE International Conference on Mobile Data Management, 2019, pp. 260-268.

Rui Zhang, Jiming Guo, Yueqi Zhou, Hongbo Jiang*, Chen Wang. Traj2bits: Indexing trajectory data for efficient query [C]. In Proceedings of the ACM SIGMOBILE CHINA Symposium, in conjunction with ACM Turing Celebration Conference, 2019, pp. 1-5.

Rui Zhang, Peng Xie, Chen Wang, Gaoyang Liu, Shaohua Wan. Understanding mobility via deep multi-scale learning [C]. In Proceedings of the International Conference on Identification, Information and Knowledge in the Internet of Things, 2018, pp. 487–494.

Rui Zhang, Xiao Wang, Kezhong Liu, Xiaolie Wu, Tianyou Lu, Zhaohui Chao. Ship collision avoidance using constrained deep reinforcement learning [C]. In Proceedings of the International Conference on Behavioral, Economic, and Socio-Cultural Computing, 2018, pp. 115-120.

Siyuan Huang, Rui Zhang, Nuofei Li, Jiming Guo, Hongbo Jiang. Automatic mining of multi-granularity temporal regularity from trajectory data [C]. In Proceedings of the IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, 2017, pp. 247-254.

Rui Zhang, Wenjie Ma, Luo Zhong, Peng Xie, Hongbo Jiang. Understanding trajectory data based on heterogeneous information network using visual analytics [C]. In Proceedings of the International Conference on Mobile Ad-hoc and Sensor Networks, 2017, pp. 318-327.

Rui Zhang, Nuofei Li, Siyuan Huang, Peng Xie, Hongbo Jiang. Automatic prediction of traffic flow based on deep residual networks [C]. In Proceedings of the International Conference on Mobile Ad-hoc and Sensor Networks, 2017, pp. 328-337.

Students

Current Students

M.S. Students

Jingkai Wu (2024~, B.S. from NJFU)
Botian Cao (2024~, B.S. from NEAU)
Junsheng Li (2024~, B.S. from DLMU)
Ze Liu (2024~, B.S. from SCMU)
Jiajun Lu (2024~, B.S. from WHUT)
Peng Zhou (2024~, B.S. from NCU)
Chao Li (2023~, B.S. from WHUT)
Li Li (2023~, B.S. from NJFU)
Jingxiong Hu (2023~, B.S. from ECJTU)
Tuo Zheng (2023~, B.S. from WHUT)
Yu Gu (2023~, B.S. from CTGU)
Zhiyuan Tao (2023~, B.S. from WHUT)
Xinpeng Chai (2023~, B.S. from JLU)
Wenhu Huang (2022~, B.S. from JXAU)
Haitao Ren (2022~, B.S. from JLU)
Chuxuan Yuan (2022~, B.S. from WHUT)
Zile Liu (2022~, B.S. from WHUT)
Liao Yin (2022~, B.S. from SWJTU)
Shaocong Ma (2022~, B.S. from USC)

International M.S. Students

Albert Ntumba(2023~)

Alumni