师资队伍

1、主持或参与项目

项目负责人（PI）-中国

[1]. 国家科技创新2030-重大项目青年科学家项目，内嵌数理原理的群体智能涌现模式与运行机制，500万元，2023.04-2026.03

[2]. 山东省优秀青年基金（海外），边缘计算，60万元，2023.01-2025.12

[3]. 山东省高等学校青创科技支持计划，山东省边缘智能计算青年创新团队，50万元，2023.01-2025.12

[4]. 山东省泰山学者青年专家项目，75万元，2022.06-2025.05

[5]. 51大神吃瓜在线观看官方版-51暗黑吃瓜官网2026最新版V.7.19.9.8 安卓版-糖心系列vlog网科教产融合试点工程重大创新类项目，基于量超融合平台赋能生物医药创新应用，500万元，2025.08-2027.07

首席研究员（Chief Investigator）-澳大利亚

[6]. Blockchain-Enabled Federated Learning for Secure and Decentralised Learning, ARC Discovery Projects (DP220100983), Australian Research Council, Australia, 2022-2024, Total: $455,000

[7]. Blockchain Enabled AI Driven E-Marking Platform, TopExcel Pty Ltd, 2020-2023, Total: $609,000

[8]. Improving security and efficiency of educational supply chain system using blockchain technology, Ausmotive Group Pty Ltd, 2020-2023, Total: $165,000

[9]. Privacy-Preserving Fog Info System in Infrastructure-Deficient Environments, ARC Linkage Projects (LP190100594), Australian Research Council, Australia, 2020-2023, Total: $527,536

[10]. Automated Story Generation for Intelligible Cyber Incident Response, Oceania Cyber Security Centre Industry Co-funded Projects (ICFP) 2019, Total: $253,100

[11]. Deakin Blockchain Innovation Lab Project, HealthChain Technology Pty Ltd and Deakin University 2018 – 2021, Total: $2,566,000

[12]. Bot Attack and Defence in Online Social Media Using Unsupervised Machine Learning, Deakin SEBE Industry Research Fellow Scheme together with Stanstone Pty Ltd 2018 – 2021, Total: $287,500

[13]. Novel audio watermarking techniques for tracing multimedia piracy, ARC Linkage Projects (LP170100458), Australian Research Council, Australia, 2018-2021, Total: $400,000

[14]. Decision-Making System for Developing and Improving Online Games, Beijing Shandesitong Technology Pty Ltd 2018 - 2019, Total: $237,835

2、论文（近三年中科院一区/CCF-A类通讯作者）

[1]. Xinghao Li, Chi Liu, Youyang Qu, Shujie Cui, Cunjian Chen, Xingliang Yuan, Zongyuan Ge, Longxiang Gao, “Navigating Unlearning in Medical AI: A Framework for Diabetic Retinopathy Classification”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2026

[2]. Yao Zhao, Youyang Qu, Bo Li, Lu Zhao, Feifei Chen, Yong Xiang, Longxiang Gao, “Collusion-Resistant and Time-Aware Co-Verification for Edge Data Integrity”, IEEE Transactions on Dependable and Secure Computing, 2026

[3]. Chenchen Tan, Youyang Qu, Xinghao Li, Hui Zhang, Shujie Cui, Cunjian Chen, Longxiang Gao, “Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting”, NeurIPS 2025

[4]. Saad Masood, Muneeb Ul Hassan, Pei-Wei Tsai, Kai Zhang, Longxiang Gao, Mianxiong Dong, Jinjun Chen, “APSM: Adaptive Privacy Budget Control in Differentially Private Matching in Electric Vehicles”, Expert Systems with Applications,  2025, 130453, ISSN 0957-4174

[5]. Chaoqun Yang, Ran Chen, Muyang Zhang, Weiguang Pang, Yuzhi Chen, Rongtao Xu, Kexue Fu, Changwei Wang, Longxiang Gao,“AASD: Accelerate Inference by Aligning Speculative Decoding in Multimodal Large Language Models”, In Proceedings of the 62st ACM/IEEE Design Automation Conference (DAC '25), June 22-25, 2025, San Francisco, CA, USA

[6]. Kexue Fu, Mingzhi Yuan, Changwei Wang, Weiguang Pang, Jing Chi, Manning Wang, Longxiang Gao, “Dual Focus-Attention Transformer for Robust Point Cloud Registration”, The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), June 11-15, 2025, Nashville TN, USA

[7]. Changwei Wang, Shunpeng Chen, yukun Song, Rongtao Xu, Zherui Zhang, jiguang zhang, Haoran Yang, Yu Zhang, Kexue Fu, Shide Du, Zhiwei Xu, Longxiang Gao, Li Guo, Shibiao Xu, “Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition”, the 35th AAAI Conference on Artificial Intelligence (AAAI-25), Pennsylvania, USA

[8]. Yao Zhao, Youyang Qu, Yong Xiang, Feifei Chen, Longxiang Gao, “Data Re-outsourcing Detection with Latency-Constraint for Edge Storage”, IEEE Transactions on Services Computing, 2025

[9]. Lei Cui, Feng Wu, Youyang Qu, Bruce Gu, Longxiang Gao, Shui Yu, “RE4ETD: A Relative Entropy Optimization-based Method for Efficient Electricity Theft Detection with Dual-Privacy Preservation”, IEEE Transactions on Smart Grid, accepted on 11/05/2025

[10]. Yao Zhao, Yong Xiang, Palash Uddin, Yushu Zhang, Lu Lu, Yansong Liu, Longxiang Gao, “AirDIV: Over-the-Air Cloud-Fog Data Integrity Verification Scheme for Industrial Cyber-Physical Systems”, IEEE Journal on Selected Areas in Communications, accepted on 28/02/2025

[11]. Ruhan Liu, Tom H. Luan, Youyang Qu, Yong Xiang, Longxiang Gao, “Internet of Digital Twin: Framework, Applications and Enabling Technologies”, IEEE Communications Surveys and Tutorials, accepted on 25/02/2025

[12]. Ying Zhao, Kai Zhang, Longxiang Gao, Jinjun Chen, "Privacy and Fairness Analysis in the Post-Processed Differential Privacy Framework", IEEE Transactions on Information Forensics & Security, 2025

[13]. Kai Zhang, Pei-Wei Tsai, Jiao Tian, Wenyu Zhao, Ke Yu, Hongwang Xiao, Xinyi Cai, Longxiang Gao, Jinjun Chen, "DPNM: A Differential Private Notary Mechanism for Privacy Preservation in Cross-chain Transactions", IEEE Transactions on Information Forensics & Security, 2025 

[14]. Changwei Wang, Shunpeng Chen, yukun Song, Rongtao Xu, Zherui Zhang, jiguang zhang, Haoran Yang, Yu Zhang, Kexue Fu, Shide Du, Zhiwei Xu, Longxiang Gao, Li Guo, Shibiao Xu, "Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition", the 35th AAAI Conference on Artificial Intelligence (AAAI-25), Pennsylvania, USA

[15]. Weiguang Pang, Xu Jiang, Songran Liu, Lei Qiao, Kexue Fu, Longxiang Gao, and Wang Yi, "Control Flow Divergence Optimization by Exploiting Tensor Cores", In Proceedings of the 61st ACM/IEEE Design Automation Conference (DAC '24). Association for Computing Machinery, New York, NY, USA

[16]. Chuxuan Tong, Iynkaran Natgunanathan, Yong Xiang, Jack Li, James Zheng, Longxiang Gao, “Enhancing Robustness of Speech Watermarking Using a Transformer-Based Framework Exploiting Acoustic Features”, IEEE Transactions on Audio, Speech and Language Processing, accepted on 12/Oct/2024

[17]. Yao Zhao, Youyang Qu, Yong Xiang, Feifei Chen, Md Palash Uddin, Longxiang Gao, “Winning at the Starting Line: Unreliable Data Replica Selection for Edge Data Integrity Verification”, IEEE Transactions on Service Computing, accepted on 26/09/2024

[18]. Yao Zhao, Youyang Qu, Yong Xiang, Palash Uddin, Dezhong Peng, Longxiang Gao, “A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends”, ACM Computing Surveys, accepted on 10/07/2024

[19]. Yao Zhao, Youyang Qu, Yong Xiang, Feifei Chen, Longxiang Gao, “Long-Term Proof-of-Contribution: an Incentivized Consensus Algorithm for Blockchain-enabled Federated Learning”, IEEE Transactions on Service Computing, accepted on 30/04/2023

[20]. Youyang Qu, Shui Yu, Longxiang Gao, Yong Xiang, “Blockchained Dual-Asynchronous Federated Learning Services for Digital Twin Empowered Edge-Cloud Continuum”, IEEE Transactions on Service Computing, accepted on 10/03/2024

[21]. Chenhao Xu, Jiaqi Ge, Yao Deng, Longxiang Gao, Mengshi Zhang, Yong Li, Wanlei Zhou, James Zheng, “BASS: A Blockchain-Based Asynchronous SignSGD Architecture for Efficient and Secure Federated Learning”, IEEE Transactions on Dependable and Secure Computing, accepted on 06/03/2024

[22]. Yao Zhao, Chenhao Xu, Youyang Qu, Yong Xiang, Fei-Fei Chen, Longxiang Gao, “A Learning-based Hierarchical Edge Data Corruption Detection Framework in Edge Intelligence”, IEEE Internet of Things Journal, accepted on 31/01/2024

[23]. Yichen Wan, Youyang Qu, Wei Ni, Yong Xiang, Longxiang Gao, Ekram Hossain, “Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey”, IEEE Communication Surveys and Tutorials, accepted on 23/01/2024

[24]. Yao Zhao, Youyang Qu, Yong Xiang, Feifei Chen, Longxiang Gao, “Context-aware Consensus Algorithm for Blockchain-empowered Federated Learning”, IEEE Transactions on Cloud Computing, accepted on 24/03/2024

[25]. Chenhao Xu, Youyang Qu, Yong Xiang, Tom Luan, Longxiang Gao, “An Optimized Privacy-Protected Blockchain System for Supply Chain on Internet of Things”, IEEE Internet of Things Journal, accepted on 02/10/2023

[26]. Yao Zhao, Youyang Qu, Feifei Chen, Yong Xiang, Longxiang Gao, “Data Integrity Verification in Mobile Edge Computing with Multi-vendor and Multi-server”, IEEE Transactions on Mobile Computing, accepted on 25/08/2023

[27]. Chuxuan Tong, James Xi Zheng, Jack Li, Xingjun Ma, Longxiang Gao, Yong Xiang, “Query-efficient Black-box Adversarial Attacks on Automatic Speech Recognition”, IEEE Transactions on Audio, Speech and Language Processing, accepted on 26/07/2023

[28]. Yao Zhao, Youyang Qu, Yong Xiang, Chaochen Shi, Feifei Chen, Longxiang Gao, “Long-term over One-off: Heterogeneity-oriented Dynamic Verification Assignment for Edge Data Integrity”, IEEE Transactions on Mobile Computing, accepted on 03/07/2023

[29]. Chenhao Xu, Jiaqi Ge, Yong Li, Yao Deng, Longxiang Gao, Mengshi Zhang, Yong Xiang, Xi Zheng, “SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems”, IEEE Transactions on Mobile Computing, accepted on 27/06/2023

[30]. Yuping Zhang, Youyang Qu, Longxiang Gao, Tom H. Luan, Alireza Jolfaei, James Xi Zheng, “Privacy-preserving data analytics for smart decision-making energy systems in sustainable smart community”, Sustainable Energy Technologies and Assessments, accepted on 01/06/2023

[31]. Chenchen Tan, Xinghao Li, Longxiang Gao, Tom H. Luan, Youyang Qu, Yong Xiang,  Rongxing Lu, “Digital Twin Enabled Remote Data Sharing for Internet of Vehicles: System and Incentive Design”, IEEE Transactions on Vehicular Technology, accepted on 25/04/2023

[32]. Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang,“Prototype-Guided Memory Replay for Continual Learning”, IEEE Transactions on Neural Networks and Learning Systems, accepted on 08/02/2023

[33]. Ruhan Liu, Jinkai Zheng, Tom H. Luan, Longxiang Gao, Yilong Hui, Yong Xiang, Mianxiong Dong, “ROS-based Collaborative Driving Framework in Autonomous Vehicular Networks”, IEEE Transactions on Industrial Informatics, accepted on 01/02/2023

[34]. Yao Zhao, Youyang Qu, Yong Xiang, Yushu Zhang, Longxiang Gao, “A Lightweight Model-based Evolutionary Consensus Protocol in Blockchain as a Service for IoT”, IEEE Transactions on Service Computing, accepted on 16/01/2023

[35]. Youyang Qu, Palash Uddin, Chengquan Gan, Yong Xiang, Longxiang Gao, John Yearwood, “Blockchain-Enabled Federated Learning: A Survey”, ACM Computing Surveys,Volume 55,Issue 4, May 2023, pp 1–35

[36]. Chenhao Xu, Youyang Qu, Tom H. Luan, Peter W. Eklund, Yong Xiang, and Longxiang Gao,“An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation”，IEEE Transactions on Vehicular Technology, 2023 

[37]. Juan Zhao, Tianrui Zong, Yong Xiang, Longxiang Gao, Guang Hua, Keshav Sood, Yu Shu, “SSVS-SSVD Based Desynchronization Attacks Resilient Watermarking Method For Stereo Signals”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 

3、 专利

[1]. 发明专利，基于快速学习与知识积累的元持续联邦学习系统及方法，第1，2024

[2]. 发明专利，一种零知识、免真实数据的模型推理攻击方法，第1，2024

[3]. 发明专利，一种基于监督训练的模型反演攻击方法，第1，2024

[4]. 发明专利，基于快速学习与知识积累的元持续联邦学习系统及方法，第1，2024

[5]. 发明专利，一种基于信息瓶颈的医学图像脱敏方法，第5，2024

[6]. 发明专利，一种基于数据增强与隐私增强的组联邦元学习方法，第1，2024

[7]. 发明专利，一种基于相对熵优化的双向隐私保护窃电检测方法，第5，2024

[8]. 发明专利，基于双层聚焦-注意力特征交互的点云配准方法及系统，第7，2024

[9]. 发明专利，一种基于SAM的零样本多聚焦图像融合方法、装置、设备及存储介质，第4，2024

[10]. 发明专利（美国），VEHICLE-BASED ABNORMAL TRAVEL EVENT DETECTING AND REPORTNG，第1，2017

4、出站博士后情况

[1]. Dr Yuan Jin (2017-2019), Research Fellow in Data Analysis

[2]. Dr Iynkaran Natgunanathan (2019), Research Fellow in Information Technology

[3]. Dr Taotao Cai (2020-2021), Research Fellow in Data Analysis

[4]. Dr Dimaz Wijaya (2020-2021), Research Fellow in Blockchain

[5]. Dr Tianrui Zong (2018-2021), Research Fellow in Digital Watermarking

[6]. Dr Ashish Nanda (2020-2021), Research Fellow in Blockchain

[7]. Dr Ming Liu (2019-2021), Research Fellow in Natural Language Processing

[8]. Dr Youyang Qu (2019-2022), Research Fellow in Blockchain

[9]. Dr Di Wu (2020-2022), Research Fellow in Artificial Intelligence  

[10]. Dr Borui Cai (2021-2024), Research Fellow in Computer Science

5、毕业博士生情况

[1]. Dr Abid Mehmood (2016-2019), Identity, Location and Query Privacy for Smart Devices

[2]. Dr Youyang Qu (2016-2019), Privacy-Preserving Big Data Sharing in Modern Networks

[3]. Dr Ahmed Raad Abdul Hussein Al-Sudani (2016-2020), Trust Management in RFID Critical Applications

[4]. Dr Walaa Khashlan Yesser Alajali (2016-2020), Data driven modles for Intelligent Transportation system

[5]. Dr Bruce Gu (2017-2020), Fog Computing and its Privacy Issues

[6]. Dr Tony Wang (2017-2021), Fog Based Recommendation System and Its Privacy Issue

[7]. Dr Lei Cui (2017-2021), Preserving big privacy in data mining

[8]. Dr Juan Zhao (2019-2022), Novel Digital Audio Watermarking Schemes

[9]. Dr. Chenhao Xu (2019-2023), Dynamic and Scalable Cross-Chain Network of Blockchain

[10]. Dr Yunhao Fang (2019-2023), Plant Disease Propagation Analysis in New-Generation Agriculture Big Data

[11]. Dr. Qi Zhong (2019-2023), Secure Sharing of Cloud Media with Privacy and Traceability Guarantee

[12]. Dr. Qiushi Zheng(2019-2023), Satellite-UAV-Ground Integrated Network for Intelligent IoT Services in Infrastructure-less Environments

[13]. Dr. Stelle Ho (2020-2023), Privacy-preserving Consecutive Data Publishing using Deep Learning Model

[14]. Dr. Nai Wang (2020-2024), Blockchain Architectural Optimization for Commercial Usages

[15]. Dr. Chuxuan Tong (2020-2024), Deep learning-based voiceprint authentication system for IoT

[16]. Dr.Yao Zhao (2021-2024), Cost-effective App Data Distribution in Edge Computing Environment using Blockchain Technology

6、在读博士生情况

[1]. Mr. Xinzhe Li (2020-), Privacy-preserving Federated Learning in Edge Computing

[2]. Ms Mengqi Wang (2020-), Deep Topic Modelling for Text Analysis in Fog Computing

[3]. Mr Dinh Duc Nha Nguyen (2020-), Heterogeneous IoT Data Stream Analysis to Enhance Network Security

[4]. Mr Vinh Loi Chau (2020-), Autism Screening by Deep Learning

[5]. Mr. Adam Liu (2021-), Improving Security of Educational Supply Chain System using Blockchain Technology

[6]. Ms Ruhan Liu (2021-), A Tamper-proof Research of Face-changing Videos Based on Blockchain

[7]. Ms Yichen Wan (2022-), Privacy-Preserving Blockchain-Enabled Federated Learning for 5G Driven Edge Computing

[8]. Ms Chenchen Tan (2023-), Novel Energy-Aware Techniques for Renewable-Energy-Powered Fog Nodes

[9]. Mr Xinghao Li (2023-), Efficient Algorithms to Enhance Communication Capability in Fog Information