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.
-
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.
-
Wang Chen;Yuan Mengting;Rui Zhang;Peng Kai;Liu Ling. Efficient Point-of-Interest Recommendation Services With Heterogenous Hypergraph Embedding [J].
IEEE Transactions on Services Computing, 2023, 16(2): 1132-43.
-
Rui Zhang;Li Xiaojie;Zhuo Yifan;Liu Kezhong;Zhong Xian;Wan Shaohua*. Generating live commentary for marine traffic scenarios based on multi-model
learning [J].
Computer Communications, 2023, 205: 69-78.
-
Rui Zhang;Zhang G.;Guo J.;Jiang H. Constrained anomaly detection in heterogeneous information networks with rich attributes [J].
Journal of Huazhong University of Science and Technology, 2017, 45: 26-31
-
Jing Bai, Wei Shi, Zhu Xiao*, Amelia C. Regan, Talal Ahmed Ali Ali, Yongdong Zhu, Rui Zhang, and
Licheng Jiao. Hyperspectral Image Classification based on Superpixel Feature Subdivision and Adaptive Graph
Structure. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 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. IEEE Transactions on Network Science and Engineering
(TNSE), 2022.
-
Zhonghui Hu, Rui Zhang*, Xichang Li, Zhipei Yu, Xiaojie Li, Wenfeng Zhao. Conflict Detection in Task
Heterogeneous Information Networks. Web Intelligence, 2022.
-
Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang*, Ling Liu. De-Pois: An Attack-Agnostic Defense against
Data Poisoning Attacks. IEEE Transactions on Information Forensics and Security (TIFS). 2021, 16:
3412-3425.
-
Xuxin Zhang, Jian Chen, Rui Zhang, Chen Wang*, Ling Liu. Attacking Recommender Systems with Plausible
Profiles. IEEE Transactions on Information Forensics and Security (TIFS), 2021, 16: 4788-4800.
-
Wangchen Long, Tao Li, Zhu Xiao*, Dong Wang, Rui Zhang, Amelia Regan, Hongyang Chen, and Yongdong Zhu.
Location Prediction for Individual Vehicles via Exploiting Travel Regularity and Preference. IEEE
Transactions on Vehicular Technology (TVT), 2022.
-
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. IEEE Transactions on Vehicular
Technology (TVT), 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. Journal of Systems Architecture (JSA).2020,110(11):101829.
-
Gaoyang Liu, Rui Zhang, Yang Yang, Chen Wang*, Ling Liu. GPS Spoofed or Not? Exploiting RSSI and TSS in
Crowdsourced Air Traffic Control Data. Springer Distributed and Parallel Databases - Special Issue on
Best Papers of MDM 2019. 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. Computer Networks (CN), 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.
IEEE Sensors Journal, 2018, 18(11): 4746-4760.
-
Zhenhua Tang, Yadan Luo, Rui Zhang, Hongbo Jiang. Motion
saliency detection for compressed videos.
Journal of Electronic Imaging, 2017, 26(5): 053018-1 -
053018-8.
-
Wenping Liu, Qiangong Tao, Rui Zhang, Hongbo Jiang, Yubao Wang,
Jing Xing, Lei Wang and Zhilin Geng. ESP: Evaluation-based Skeleton
Pruning in Sensor Networks. IEEE Sensors Journal, 2016,
16(11): 4605-4613.
-
Chen Wang, Hongzhi Lin, Rui Zhang, Hongbo Jiang. SEND: A
Situation-Aware Emergency Navigation Algorithm with Sensor Networks.
IEEE Transactions on Mobile Computing (TMC), 2017, 16(4):
1149-1162.
-
Wei Wei, Chen Wang, Hongzhi Lin, Rui Zhang, Hongbo Jiang. A
Novel Networking Architecture for Mobile Content Delivery in Urban
Transport Systems. ACM/Springer Wireless Networks (WINET), 2016, 22
(2): 427-438.
-
Hongzhi Lin, Wei Wei, Ping Zhao, Xiaoqiang Ma, Rui Zhang,
Wenping Liu, Tianping Deng, Kai Peng. Energy-efficient compressed data
aggregation in underwater acoustic sensor networks.
ACM/Springer Wireless Networks (WINET), 2016, 22(6): 1985-1997.
-
Yu Zhipei;Wu Hanyue;Yin Zhenzhong;Liu Kezhong;Rui Zhang*. Vessel Trajectory Segmentation: A Survey;
International Conference on Database Systems for Advanced Applications, Cham, F 2023//, 2023 [C].
Springer Nature Switzerland.
-
Xu Yan; Xian Zhong; Zhengwei Yang; Rui Zhang; Wenxin Huang; Wang Zheng. Global Temporal Attention Optimization for Human Trajectory Prediction;
IEEE International Conference on Systems, Man and Cybernetics, F 9-12 Oct. 2022, 2022 [C].
-
Ruxue Wen; Rui Zhang; Kai Peng;Wang Chen. Protecting Locations with Differential Privacy against Location-Dependent Attacks in Continuous LBS Queries;
proceedings of the IEEE International Conference on Trust, Security and Privacy in Computing and Communications F20-22 Oct. 2021, 2021 [C].
-
Shengqiong Yuan; Luo Zhong; Lin Li; Rui Zhang. Automatic Generation of Chinese Couplets with Attention Based Encoder-Decoder Model;
IEEE Conference on Multimedia Information Processing and Retrieval, F 28-30 March 2019, 2019 [C].
-
Zichuan Liu, Zhaoyang Wu, Meng Wang, Rui Zhang. Multi-View Spatial-Temporal Model for Travel Time
Estimation. In Proc. of 29th International Conference on Advances in Geographic Information
Systems(GIS), Beijing, China, 2021: 646–649.
-
Xiaofeng Wu, Rui Zhang, Lin Li. Clustering Trajectories via Sparse Auto-encoders. In Proc. of 4th
International Conference on Multimedia Information Processing and Retrieval (MIPR), Tokyo, Japan, 2021:
260-266.
-
Pakindessama M. Konkobo, Rui Zhang, Siyuan Huang, Toussida T. Minoungou, Jose A. Ouedraogo and Lin Li.
A Deep Learnning Model For Early Detection Of Fake News On Social Media. In Proc. of 7th International
Conference on Behavioural and Social Computing (BESC), Bournemouth, United Kingdom, 2020:1-6.
-
Rui Zhang, Yacheng Rong, Zilong Wu, Yifan Zhuo. Trajectory Similarity Assessment On Road Networks Via
Embedding Learning. In Proc. of 6th International Conference on Multimedia Big Data (BigMM), New
Delhi, India, 2020: 1-8.
-
Zilong Wu, Siyuan Huang, Rui Zhang, Lin Li. Video Review Analysis via Transformer-based Sentiment
Change Detection. In Proc. of IEEE Conference on Multimedia Information Processing and Retrieval
(MIPR), Shenzhen, China, 2020: 330-335.
-
Rui Zhang, Jiming Guo, Hongbo Jiang*, Peng Xie, Chen Wang. Multi-Task Learning for Location Prediction
with Deep Multi-model Ensembles. In Proc. of IEEE 21st International Conference on High Performance
Computing and Communications (HPCC), Zhangjiajie, China, 2019: 1093-1100.
-
Rui Zhang, Peng Xie, Hongbo Jiang, Chen Wang, Zhu Xiao, Ling
Liu. Clustering Noisy Trajectories via Robust Deep Attention
Auto-encoders.
In Proc. of 20th IEEE International Conference on Mobile Data
Management, Hong Kong, China, 2019.
-
Gaoyang Liu, Rui Zhang, Chen Wang, Ling Liu.
Synchronization-Free GPS Spoofing Detection with Crowdsourced Air
Traffic Control Data.
In Proc. of 20th IEEE International Conference on Mobile Data
Management, Hong Kong, China, 2019.
-
Rui Zhang, Jiming Guo, Yueqi Zhou, Hongbo Jiang, Chen Wang.
traj2bits: Indexing Trajectory Data for Efficient Qery.
In Proc. of ACM SIGMOBILE CHINA Symposium, in conjunction with ACM
Turing Celebration Conference - China, Chengdu, China, 2019.
-
Rui Zhang, Peng Xie, Chen Wang, Gaoyang Liu, Shaohua Wan.
Understanding Mobility via Deep Multi-Scale Learning.
In Proc. of 7th International Conference on Identification,
Information and Knowledge in the Internet of Things (IIKI), 487–494, Beijing, Elsevier, 2018.
-
Rui Zhang, Xiao Wang, Kezhong Liu, Xiaolie Wu, Tianyou Lu,
Zhaohui Chao. Ship Collision Avoidance Using Constrained Deep
Reinforcement Learning.
In Proc. of 5th International Conference on Behavioral, Economic,
and Socio-Cultural Computing (BESC), 115-120, Kaohsiung, IEEE, 2018.
-
Siyuan Huang, Rui Zhang, Nuofei Li, Jiming Guo, Hongbo Jiang.
Automatic Mining of Multi-granularity Temporal Regularity from
Trajectory Data.
In Proc. of 4th IEEE/ACM International Conference on Big Data
Computing, Applications and Technologies (BDCAT), 247-254, Austin, IEEE, 2017.
-
Rui Zhang, Wenjie Ma, Luo Zhong, Peng Xie, Hongbo Jiang.
Understanding Trajectory Data based on Heterogeneous Information
Network Using Visual Analytics.
In Proc. of 13th International Conference on Mobile Ad-hoc and
Sensor Networks (MSN), 318-327, Beijing, IEEE, 2017.
-
Rui Zhang, Nuofei Li, Siyuan Huang, Peng Xie, Hongbo Jiang.
Automatic Prediction of Traffic Flow based on Deep Residual Networks.
In Proc. of 13th International Conference on Mobile Ad-hoc and
Sensor Networks (MSN), 328-337,Beijing, IEEE, 2017.