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ORCIDZhong Li 0006
Person information
- affiliation (PhD 2015): Tongji University, Shanghai, China
- affiliation: Donghua University, School of Information and Intelligent Science, Shanghai, China
Other persons with the same name
- Zhong Li (aka: Li Zhong) — disambiguation page
- Zhong Li 0001
![[0000-0002-3443-0557]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3443-0557")
— FernUniversität Hagen, Faculty of Mathematics and Computer Science, Germany (and 1 more) - Zhong Li 0002 — Leiden University, The Netherlands
- Zhong Li 0003 — Fuzhou University, School of Mathematics and Statistics, Fujian, China
- Zhong Li 0004 — Microsoft Research Asia, Machine Learning Group, Beijing, China (and 1 more)
- Zhong Li 0005 — Institute of Disaster Prevention, School of Emergency Management, Beijing, China
- Zhong Li 0007 — Apple Inc., Cupertino, CA, USA (and 1 more)
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2020 – today
- 2026
[j27]Mingjian Guang, Tong Yang, Hongqin Huang, Yunxiang Lin, Zhong Li, Rui Duan, Peng Wang, Hao Chen:
Dual-level group interactions via multi-expert synergy GNN for graph classification. Expert Syst. Appl. 329: 132989 (2026)- [j26]Zhong Li, Xinyu Yin, Mingjian Guang, Changjun Jiang:
Exposing Disguises and Tracing Illicit Flows: Dual-View Graph Representation Learning for Money Laundering Detection. IEEE Trans. Comput. Soc. Syst. 13(2): 1804-1818 (2026) - [j25]Zhong Li, Yubo Kong, Changjun Jiang:
Privacy-Aware Transaction Fraud Detection With Low Communication Costs Under Joint Federated Learning. IEEE Trans. Dependable Secur. Comput. 23(3): 4511-4525 (2026) - [j24]Mingjian Guang, Zhong Li, Rui Zhang, Junli Wang, Dawei Cheng:
Ensemble Graph Neural Networks With Individual Decision Feedback for Graph Classification. IEEE Trans. Knowl. Data Eng. 38(7): 4315-4329 (2026) - [j23]Xueting Yang, Zhong Li, Changjun Jiang:
Beyond Graph Structure: Semantic Augmentation With LLMs for Bitcoin Money Laundering Detection Under Economic Networks. IEEE Trans. Netw. Sci. Eng. 13: 6366-6382 (2026) - 2025
- [j22]Zhong Li, Xueting Yang, Changjun Jiang:
Multi-View Graph-Based Hierarchical Representation Learning for Money Laundering Group Detection. IEEE Trans. Inf. Forensics Secur. 20: 2035-2050 (2025) - [j21]Mingjian Guang, Zhong Li, Chungang Yan, Yuhua Xu, Junli Wang, Dawei Cheng, Changjun Jiang:
Multi-Temporal Partitioned Graph Attention Networks for Financial Fraud Detection. IEEE Trans. Inf. Forensics Secur. 20: 9399-9412 (2025) - [j20]Xiaoting Sun, Zhong Li, Changjun Jiang:
Federated Aggregation With Interlayer Personalized Contribution: Preference-Based Optimization Between Performance and Privacy. IEEE Trans. Neural Networks Learn. Syst. 36(9): 17071-17085 (2025) - [j19]Yubo Kong, Zhong Li, Changjun Jiang:
SRC-FD: Secure and Reliable Cryptocurrency Transaction Fraud Detection Under Hybrid Blockchain. IEEE Trans. Netw. Sci. Eng. 12(6): 4757-4771 (2025) - 2024
- [j18]Feifei Qiao, Zhong Li, Yubo Kong:
A Privacy-Aware and Incremental Defense Method Against GAN-Based Poisoning Attack. IEEE Trans. Comput. Soc. Syst. 11(2): 1708-1721 (2024) - [j17]Zhong Li, Yubo Kong, Jie Luo, Yifei Meng, Changjun Jiang:
VLOG: Vehicle Identity Verification Based on Local and Global Behavior Analysis. IEEE Trans. Comput. Soc. Syst. 11(5): 7032-7044 (2024) - [j16]Yubo Kong, Zhong Li, Changjun Jiang:
ASIA: A Federated Boosting Tree Model Against Sequence Inference Attacks in Financial Networks. IEEE Trans. Inf. Forensics Secur. 19: 6991-7004 (2024) - [c6]Zhong Li, Jialong Huang, Xueting Yang, Meikang Qiu:
Contrastive Learning for Money Laundering Detection: Node-Subgraph-Node Method with Context Aggregation and Enhancement Strategy. KSEM (4) 2024: 31-47 - 2023
- [j15]Zhong Li, Yubo Kong, Changjun Jiang:
A Transfer Double Deep Q Network Based DDoS Detection Method for Internet of Vehicles. IEEE Trans. Veh. Technol. 72(4): 5317-5331 (2023) - [c5]Yifei Meng, Zhong Li:
A Money Laundering Structure Detection Method Based on Incremental Transaction Analysis. DSIT 2023: 20-30 - 2022
- [j14]Zhong Li, Xueting Yang, Cheng Wang, Ke Ma, Changjun Jiang:
Crowd-Learning: A Behavior-Based Verification Method in Software-Defined Vehicular Networks With MEC Framework. IEEE Internet Things J. 9(2): 1622-1639 (2022) - [j13]Zhong Li, Xianke Wu, Changjun Jiang:
Efficient poisoning attacks and defenses for unlabeled data in DDoS prediction of intelligent transportation systems. Secur. Saf. 1: 2022003 (2022) - [j12]Zhong Li, Yubo Kong, Cheng Wang, Changjun Jiang:
DDoS Mitigation Based on Space-Time Flow Regularities in IoV: A Feature Adaption Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 23(3): 2262-2278 (2022) - 2021
- [j11]Zhong Li, Huimin Zhuang:
A multi-factor integration-based semi-supervised learning for address resolution protocol attack detection in SDIIoT. Int. J. Distributed Sens. Networks 17(12): 155014772110599 (2021) - [j10]Zhong Li, Xueting Yang, Changjun Jiang:
Tree-searching based trust assessment through communities in vehicular networks. Peer-to-Peer Netw. Appl. 14(4): 1854-1868 (2021) - 2020
- [b1]Changjun Jiang, Zhong Li:
Mobile Information Service for Networks, 2. Springer 2020, ISBN 978-981-15-4568-9, pp. 163-206
2010 – 2019
- 2018
- [j9]Cheng Wang, Luomeng Zhang, Zhong Li, Changjun Jiang:
SDCoR: Software Defined Cognitive Routing for Internet of Vehicles. IEEE Internet Things J. 5(5): 3513-3520 (2018) - 2017
- [j8]Zhong Li, Cheng Wang:
Modeling Data Transport Capacity of Mobile Networks for Mobile Social Services. IEEE Access 5: 12143-12157 (2017) - [j7]Zhong Li, Cheng Wang, Changjun Jiang:
User Association for Load Balancing in Vehicular Networks: An Online Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 18(8): 2217-2228 (2017) - [j6]Zhong Li, Cheng Wang, Lu Shao, Changjun Jiang, Cheng-Xiang Wang:
Exploiting Traveling Information for Data Forwarding in Community-Characterized Vehicular Networks. IEEE Trans. Veh. Technol. 66(7): 6324-6335 (2017) - [c4]Xiaoling Fu, Zheng Tan, Chungang Yan, Zhong Li, Cheng Wang, Cheng-Xiang Wang:
Your Body Defines Your Fall Detection System: A Somatotype-Based Feature Selection Method. CBD 2017: 402-407 - 2015
- [j5]Siqian Yang, Zhong Li, Milica Stojmenovic, Cheng Wang, Changjun Jiang:
ERUPT: A Role-based Neighbor Discovery Protocol for Mobile Social Applications. Ad Hoc Sens. Wirel. Networks 24(3-4): 265-281 (2015) - [j4]Zhong Li, Cheng Wang, Siqian Yang, Changjun Jiang, Xiang-Yang Li:
LASS: Local-Activity and Social-Similarity Based Data Forwarding in Mobile Social Networks. IEEE Trans. Parallel Distributed Syst. 26(1): 174-184 (2015) - [j3]Cheng Wang, Lu Shao, Zhong Li, Lei Yang, Xiang-Yang Li, Changjun Jiang:
Capacity Scaling of Wireless Social Networks. IEEE Trans. Parallel Distributed Syst. 26(7): 1839-1850 (2015) - [j2]Zhong Li, Cheng Wang, Siqian Yang, Changjun Jiang, Ivan Stojmenovic:
Space-Crossing: Community-Based Data Forwarding in Mobile Social Networks Under the Hybrid Communication Architecture. IEEE Trans. Wirel. Commun. 14(9): 4720-4727 (2015) - [c3]Lu Shao, Cheng Wang, Zhong Li, Changjun Jiang:
Traffic condition estimation using vehicular crowdsensing data. IPCCC 2015: 1-8 - [c2]Yu Fang, Zijiao Zhang, Cheng Wang, Zhong Li, Huiya Yan, Changjun Jiang:
Scaling Laws of Social-Broadcast Capacity for Mobile Ad Hoc Social Networks. MASS 2015: 262-270 - [i2]Xin Wang, Cheng Wang, Changjun Jiang, Lei Yang, Zhong Li, Xiaobo Zhou:
Rule Optimization for Real-Time Query Service in Software-Defined Internet of Vehicles. CoRR abs/1503.05646 (2015) - 2014
- [c1]Zhong Li, Cheng Wang, Siqian Yang, Changjun Jiang, Ivan Stojmenovic:
Improving data forwarding in Mobile Social Networks with infrastructure support: A space-crossing community approach. INFOCOM 2014: 1941-1949 - 2013
- [j1]Zhong Li, Cheng Wang, Changjun Jiang, Xiang-Yang Li:
Multicast capacity scaling for inhomogeneous mobile ad hoc networks. Ad Hoc Networks 11(1): 29-38 (2013) - [i1]Zhong Li, Cheng Wang, Siqian Yang, Changjun Jiang, Ivan Stojmenovic:
Improving Data Forwarding in Mobile Social Networks with Infrastructure Support: A Space-Crossing Community Approach. CoRR abs/1307.7326 (2013)
Coauthor Index
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