Dayong Ye

112 papers A* 5A 6B 1C 2Misc 1Journal 87Unranked 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure.
AAAI
Lulu Xue, Shengshan Hu, Linqiang Qian, Peijin Guo, Yechao Zhang, Minghui Li, Yanjun Zhang, Dayong Ye, Leo Yu Zhang
2026 J jnl
Forgetting Similar Samples: Can Machine Unlearning Do it Better?
CoRR
Heng Xu, Tianqing Zhu, Dayong Ye, Lefeng Zhang, Le Wang, Wanlei Zhou
2026 J jnl
From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration.
CoRR
Yizhe Xie, Congcong Zhu, Xinyue Zhang, Tianqing Zhu, Dayong Ye, Minfeng Qi, Huajie Chen, Wanlei Zhou
2026 J jnl
Hidden Threats in Federated Unlearning: Camouflaged Poisoning Attacks and Their Unlearning Consequences.
IEEE Trans. Dependable Secur. Comput.
Kun Gao, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou
2026 J jnl
LLM-Based Data Augmentation Method in Reinforcement Learning With Machine-Unlearning and Fine-Tuning.
IEEE Trans. Big Data
Yunjiao Lei, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2026 J jnl
The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies.
ACM Comput. Surv.
Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, Philip S. Yu
2026 J jnl
Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey.
ACM Comput. Surv.
Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Dayong Ye, Wanlei Zhou, Philip S. Yu
2026 J jnl
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?
IEEE Trans. Dependable Secur. Comput.
Shang Wang, Tianqing Zhu, Dayong Ye, Wanlei Zhou
2025 J jnl
Cooperating or Kicking Out: Defending Against Poisoning Attacks in Federated Learning via the Evolution of Cooperation.
IEEE Trans. Dependable Secur. Comput.
Dayong Ye, Tianqing Zhu, Kun Gao, Congcong Zhu, Wanlei Zhou
2025 A* conf
Cross-Modal Prompt Inversion: Unifying Threats to Text and Image Generative AI Models.
USENIX Security Symposium
Dayong Ye, Tianqing Zhu, Feng He, Bo Liu, Minhui Xue, Wanlei Zhou
2025 A* conf
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning.
USENIX Security Symposium
Dayong Ye, Tianqing Zhu, Jiayang Li, Kun Gao, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang
2025 J jnl
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning.
CoRR
Dayong Ye, Tainqing Zhu, Jiayang Li, Kun Gao, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang
2025 A* conf
Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI.
USENIX Security Symposium
Dayong Ye, Tianqing Zhu, Shang Wang, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang
2025 J jnl
Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI.
CoRR
Dayong Ye, Tianqing Zhu, Shang Wang, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang
2025 J jnl
Defending Against Neural Network Model Inversion Attacks via Data Poisoning.
IEEE Trans. Neural Networks Learn. Syst.
Shuai Zhou, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2025 J jnl
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure.
CoRR
Lulu Xue, Shengshan Hu, Linqiang Qian, Peijin Guo, Yechao Zhang, Minghui Li, Yanjun Zhang, Dayong Ye, Leo Yu Zhang
2025 J jnl
Federated Unlearning With Reinforcement Learning: Adaptive Privacy Preservation for Clients.
J. Inf. Secur. Appl.
Kun Gao, Tianqing Zhu, Dayong Ye, Longxiang Gao, Wanlei Zhou
2025 J jnl
Model Inversion Attack Against Transfer Learning: Inverting a Model Without Querying It.
IEEE Trans. Dependable Secur. Comput.
Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji
2025 A* conf
Reinforcement Unlearning.
NDSS
Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Kun Gao, Zewei Shi, Sheng Shen, Wanlei Zhou, Minhui Xue
2025 J jnl
The evolution of cooperation in continuous dilemmas via multi-agent reinforcement learning.
Knowl. Based Syst.
Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2024 J jnl
A Concurrent Federated Reinforcement Learning for IoT Resources Allocation With Local Differential Privacy.
IEEE Internet Things J.
Wei Zhou, Tianqing Zhu, Dayong Ye, Wei Ren, Kim-Kwang Raymond Choo
2024 J jnl
A GNN-based teacher-student framework with multi-advice.
Expert Syst. Appl.
Yunjiao Lei, Dayong Ye, Congcong Zhu, Sheng Shen, Wanlei Zhou, Tianqing Zhu
2024 — conf
A Scheme of Dynamic Location Privacy-Preserving with Blockchain in Intelligent Transportation System.
ICA3PP (1)
Xuhan Zuo, Minghao Wang, Dayong Ye, Shui Yu
2024 J jnl
A federated advisory teacher-student framework with simultaneous learning agents.
Knowl. Based Syst.
Yunjiao Lei, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2024 J jnl
A location-based advising method in teacher-student frameworks.
Knowl. Based Syst.
Congcong Zhu, Dayong Ye, Huan Huo, Wanlei Zhou, Tianqing Zhu
2024 J jnl
Blockchain-Based Gradient Inversion and Poisoning Defense for Federated Learning.
IEEE Internet Things J.
Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou
2024 J jnl
Blockchain-Empowered Multiagent Systems: Advancing IoT Security and Transaction Efficiency.
IEEE Internet Things J.
Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou
2024 J jnl
Boosting Model Inversion Attacks With Adversarial Examples.
IEEE Trans. Dependable Secur. Comput.
Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou
2024 J jnl
Defending Against Label-Only Attacks via Meta-Reinforcement Learning.
IEEE Trans. Inf. Forensics Secur.
Dayong Ye, Tianqing Zhu, Kun Gao, Wanlei Zhou
2024 J jnl
Defending Against Neural Network Model Inversion Attacks via Data Poisoning.
CoRR
Shuai Zhou, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2024 J jnl
Defending against gradient inversion attacks in federated learning via statistical machine unlearning.
Knowl. Based Syst.
Kun Gao, Tianqing Zhu, Dayong Ye, Wanlei Zhou
2024 J jnl
Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning.
CoRR
Xuhan Zuo, Minghao Wang, Tianqing Zhu, Lefeng Zhang, Dayong Ye, Shui Yu, Wanlei Zhou
2024 J jnl
Inversion-Guided Defense: Detecting Model Stealing Attacks by Output Inverting.
IEEE Trans. Inf. Forensics Secur.
Shuai Zhou, Tianqing Zhu, Dayong Ye, Wanlei Zhou, Wei Zhao
2024 J jnl
Location-Based Real-Time Updated Advising Method for Traffic Signal Control.
IEEE Internet Things J.
Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2024 J jnl
Privacy preservation in deep reinforcement learning: A training perspective.
Knowl. Based Syst.
Sheng Shen, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2024 J jnl
Public and Private Blockchain Infusion: A Novel Approach to Federated Learning.
IEEE Internet Things J.
Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou
2024 J jnl
The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies.
CoRR
Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, Philip S. Yu
2024 J jnl
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey.
CoRR
Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Xu Guo, Dayong Ye, Wanlei Zhou, Philip S. Yu
2024 J jnl
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?
CoRR
Shang Wang, Tianqing Zhu, Dayong Ye, Wanlei Zhou
2023 J jnl
A Game-Theoretic Method for Defending Against Advanced Persistent Threats in Cyber Systems.
IEEE Trans. Inf. Forensics Secur.
Lefeng Zhang, Tianqing Zhu, Farookh Khadeer Hussain, Dayong Ye, Wanlei Zhou
2023 J jnl
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity.
ACM Comput. Surv.
Shuai Zhou, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2023 J jnl
Boosting Model Inversion Attacks with Adversarial Examples.
CoRR
Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou
2023 J jnl
Evolution of cooperation in malicious social networks with differential privacy mechanisms.
Neural Comput. Appl.
Tao Zhang, Dayong Ye, Tianqing Zhu, Tingting Liao, Wanlei Zhou
2023 J jnl
Label-Only Model Inversion Attacks: Attack With the Least Information.
IEEE Trans. Inf. Forensics Secur.
Tianqing Zhu, Dayong Ye, Shuai Zhou, Bo Liu, Wanlei Zhou
2023 J jnl
Learning Games for Defending Advanced Persistent Threats in Cyber Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou, Philip S. Yu
2023 J jnl
Model-Based Self-Advising for Multi-Agent Learning.
IEEE Trans. Neural Networks Learn. Syst.
Dayong Ye, Tianqing Zhu, Congcong Zhu, Wanlei Zhou, Philip S. Yu
2023 J jnl
Multi-Agent Reinforcement Learning for Online Food Delivery with Location Privacy Preservation.
Inf.
Suleiman Abahussein, Dayong Ye, Congcong Zhu, Zishuo Cheng, Umer Siddique, Sheng Shen
2023 J jnl
New Challenges in Reinforcement Learning: A Survey of Security and Privacy.
CoRR
Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou
2023 J jnl
New challenges in reinforcement learning: a survey of security and privacy.
Artif. Intell. Rev.
Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou
2023 J jnl
Privacy and evolutionary cooperation in neural-network-based game theory.
Knowl. Based Syst.
Zishuo Cheng, Tianqing Zhu, Congcong Zhu, Dayong Ye, Wanlei Zhou, Philip S. Yu
2023 — conf
Protect Trajectory Privacy in Food Delivery with Differential Privacy and Multi-agent Reinforcement Learning.
AINA (3)
Suleiman Abahussein, Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou
2023 J jnl
Reinforcement Unlearning.
CoRR
Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Jason Xue, Sheng Shen, Wanlei Zhou
2023 J jnl
Time-Driven and Privacy-Preserving Navigation Model for Vehicle-to-Vehicle Communication Systems.
IEEE Trans. Veh. Technol.
Congcong Zhu, Zishuo Cheng, Dayong Ye, Farookh Khadeer Hussain, Tianqing Zhu, Wanlei Zhou
2022 J jnl
A novel differentially private advising framework in cloud server environment.
Concurr. Comput. Pract. Exp.
Sheng Shen, Tianqing Zhu, Dayong Ye, Minghao Wang, Xuhan Zuo, Andi Zhou
2022 J jnl
Differential Advising in Multiagent Reinforcement Learning.
IEEE Trans. Cybern.
Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu
2022 J jnl
Differentially Private Multi-Agent Planning for Logistic-Like Problems.
IEEE Trans. Dependable Secur. Comput.
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu
2022 J jnl
Label-only Model Inversion Attack: The Attack that Requires the Least Information.
CoRR
Dayong Ye, Tianqing Zhu, Shuai Zhou, Bo Liu, Wanlei Zhou
2022 J jnl
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It.
CoRR
Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji
2022 J jnl
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence.
IEEE Trans. Knowl. Data Eng.
Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu
2022 J jnl
Multi-agent reinforcement learning via knowledge transfer with differentially private noise.
Int. J. Intell. Syst.
Zishuo Cheng, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu, Congcong Zhu
2022 J jnl
One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy.
IEEE Trans. Inf. Forensics Secur.
Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou
2022 J jnl
One Parameter Defense - Defending against Data Inference Attacks via Differential Privacy.
CoRR
Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou
2022 J jnl
Prioritized Experience Replay based on Multi-armed Bandit.
Expert Syst. Appl.
Ximing Liu, Tianqing Zhu, Cuiqing Jiang, Dayong Ye, Fuqing Zhao
2022 J jnl
Privacy preservation auction in a dynamic social network.
Concurr. Comput. Pract. Exp.
Xiangyu Hu, Zhiping Jin, Lefeng Zhang, Andi Zhou, Dayong Ye
2022 Misc conf
Privacy-Preserving in Double Deep-Q-Network with Differential Privacy in Continuous Spaces.
AI
Suleiman Abahussein, Zishuo Cheng, Tianqing Zhu, Dayong Ye, Wanlei Zhou
2022 J jnl
Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning.
IEEE Internet Things J.
Tianqing Zhu, Wei Zhou, Dayong Ye, Zishuo Cheng, Jin Li
2022 J jnl
Time-optimal and privacy preserving route planning for carpool policy.
World Wide Web
Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2021 J jnl
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries.
IEEE Trans. Inf. Forensics Secur.
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou
2021 J jnl
DP-Image: Differential Privacy for Image Data in Feature Space.
CoRR
Bo Liu, Ming Ding, Hanyu Xue, Tianqing Zhu, Dayong Ye, Li Song, Wanlei Zhou
2020 J jnl
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries.
CoRR
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou
2020 J jnl
Differential Advising in Multi-Agent Reinforcement Learning.
CoRR
Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu
2020 J jnl
Differentially Private Malicious Agent Avoidance in Multiagent Advising Learning.
IEEE Trans. Cybern.
Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2020 J jnl
Differentially Private Multi-Agent Planning for Logistic-like Problems.
CoRR
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu
2020 J jnl
Efficient QoS-Aware Service Recommendation for Multi-Tenant Service-Based Systems in Cloud.
IEEE Trans. Serv. Comput.
Yanchun Wang, Qiang He, Xuyun Zhang, Dayong Ye, Yun Yang
2020 J jnl
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence.
CoRR
Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu
2019 J jnl
An Agent-Based Integrated Self-Evolving Service Composition Approach in Networked Environments.
IEEE Trans. Serv. Comput.
Dayong Ye, Qiang He, Yanchun Wang, Yun Yang
2019 J jnl
Service Selection With QoS Correlations in Distributed Service-Based Systems.
IEEE Access
Dongwei Li, Dayong Ye, Nan Gao, Shuliang Wang
2019 — conf
Simultaneously Advising via Differential Privacy in Cloud Servers Environment.
ICA3PP (1)
Sheng Shen, Tianqing Zhu, Dayong Ye, Mengmeng Yang, Tingting Liao, Wanlei Zhou
2018 J jnl
A Self-Adaptive Sleep/Wake-Up Scheduling Approach for Wireless Sensor Networks.
IEEE Trans. Cybern.
Dayong Ye, Minjie Zhang
2018 J jnl
An agent-based service adaptation approach in distributed multi-tenant service-based systems.
J. Parallel Distributed Comput.
Dayong Ye, Qiang He, Yanchun Wang, Yun Yang
2018 J jnl
An intelligent agent-based method for task allocation in competitive cloud environments.
Concurr. Comput. Pract. Exp.
Yan Kong, Minjie Zhang, Dayong Ye, Jinxiu Zhu, Junho Choi
2018 J jnl
Detection of transmissible service failure in distributed service-based systems.
J. Parallel Distributed Comput.
Dayong Ye, Qiang He, Yanchun Wang, Yun Yang
2018 J jnl
Formulating Criticality-Based Cost-Effective Fault Tolerance Strategies for Multi-Tenant Service-Based Systems.
IEEE Trans. Software Eng.
Yanchun Wang, Qiang He, Dayong Ye, Yun Yang
2017 J jnl
A Survey of Self-Organization Mechanisms in Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Dayong Ye, Minjie Zhang, Athanasios V. Vasilakos
2017 J jnl
A belief propagation-based method for task allocation in open and dynamic cloud environments.
Knowl. Based Syst.
Yan Kong, Minjie Zhang, Dayong Ye
2017 A conf
An Agent-Based Decentralised Service Monitoring Approach in Multi-Tenant Service-Based Systems.
ICWS
Dayong Ye, Qiang He, Yanchun Wang, Yun Yang
2017 A conf
Efficient Keyword Search for Building Service-Based Systems Based on Dynamic Programming.
ICSOC
Qiang He, Rui Zhou, Xuyun Zhang, Yanchun Wang, Dayong Ye, Feifei Chen, Shiping Chen, John Grundy, Yun Yang
2017 A conf
Formulating Criticality-Based Cost-Effective Monitoring Strategies for Multi-Tenant Service-Based Systems.
ICWS
Yanchun Wang, Qiang He, Dayong Ye, Yun Yang
2017 J jnl
Keyword Search for Building Service-Based Systems.
IEEE Trans. Software Eng.
Qiang He, Rui Zhou, Xuyun Zhang, Yanchun Wang, Dayong Ye, Feifei Chen, John C. Grundy, Yun Yang
2017 J jnl
Localizing Runtime Anomalies in Service-Oriented Systems.
IEEE Trans. Serv. Comput.
Qiang He, Xiaoyuan Xie, Yanchun Wang, Dayong Ye, Feifei Chen, Hai Jin, Yun Yang
2017 — conf
Service Selection Based on Correlated QoS Requirements.
SCC
Yanchun Wang, Qiang He, Dayong Ye, Yun Yang
2016 J jnl
An Auction-Based Approach for Group Task Allocation in an Open Network Environment.
Comput. J.
Yan Kong, Minjie Zhang, Dayong Ye
2015 J jnl
A Multi-Agent Framework for Packet Routing in Wireless Sensor Networks.
Sensors
Dayong Ye, Minjie Zhang, Yun Yang
2015 J jnl
A Self-Adaptive Strategy for Evolution of Cooperation in Distributed Networks.
IEEE Trans. Computers
Dayong Ye, Minjie Zhang
2015 J jnl
A negotiation-based method for task allocation with time constraints in open grid environments.
Concurr. Comput. Pract. Exp.
Yan Kong, Minjie Zhang, Dayong Ye
2015 J jnl
Decentralised dispatch of distributed energy resources in smart grids via multi-agent coalition formation.
J. Parallel Distributed Comput.
Dayong Ye, Minjie Zhang, Danny Sutanto
2014 — conf
A Group Task Allocation Strategy in Open and Dynamic Grid Environments.
ANAC@AAMAS
Yan Kong, Minjie Zhang, Dayong Ye
2014 J jnl
Cloning, Resource Exchange, and RelationAdaptation: An Integrative Self-Organisation Mechanism in a Distributed Agent Network.
IEEE Trans. Parallel Distributed Syst.
Dayong Ye, Minjie Zhang, Danny Sutanto
2013 — conf
A Study on the Evolution of Cooperation in Networks.
WISE (2)
Dayong Ye, Minjie Zhang
2013 J jnl
Self-Adaptation-Based Dynamic Coalition Formation in a Distributed Agent Network: A Mechanism and a Brief Survey.
IEEE Trans. Parallel Distributed Syst.
Dayong Ye, Minjie Zhang, Danny Sutanto
2012 A conf
Cloning, resource exchange and relation adaptation: a self-organising multi-agent framework.
AAMAS
Dayong Ye, Minjie Zhang, Danny Sutanto
2012 A conf
Integrating self-organisation into dynamic coalition formation.
AAMAS
Dayong Ye, Minjie Zhang, Danny Sutanto
2012 J jnl
Self-organization in an agent network: A mechanism and a potential application.
Decis. Support Syst.
Dayong Ye, Minjie Zhang, Danny Sutanto
2011 B conf
A Composite Self-organisation Mechanism in an Agent Network.
WISE
Dayong Ye, Minjie Zhang, Quan Bai
2010 J jnl
A Novel Task Allocation Protocol in Agent Organizations and Its Application to Health Care Problems.
Int. J. Comput. Their Appl.
Dayong Ye, Minjie Zhang, Quan Bai, Khin Than Win
2010 C conf
Self-organisation in an Agent Network via Multiagent Q-Learning.
PKAW
Dayong Ye, Minjie Zhang, Quan Bai, Takayuki Ito
2010 A conf
Self-organisation in an agent network via learning.
AAMAS
Dayong Ye, Minjie Zhang, Danny Sutanto
2009 — conf
A Hybrid Multi-Agent Framework for Load Management in Power Grid Systems.
PRIMA Workshops
Minjie Zhang, Dayong Ye, Quan Bai, Danny Sutanto, Kashem M. Muttaqi
2009 C conf
An Efficient Task Allocation Protocol for P2P Multi-agent Systems.
ISPA
Dayong Ye, Quan Bai, Minjie Zhang, Khin Than Win, Zhiqi Shen
2009 — conf
DGF: Decentralized Group Formation for Task Allocation in Complex Adaptive Systems.
PRIMA Workshops
Dayong Ye, Minjie Zhang, Danny Sutanto
2008 — conf
Ontology-Based Knowledge Representation for a P2P Multi-agent Distributed Intrusion Detection System.
NPC Workshops
Dayong Ye, Quan Bai, Minjie Zhang
2008 — conf
P2P Distributed Intrusion Detections by Using Mobile Agents.
ACIS-ICIS
Dayong Ye, Quan Bai, Minjie Zhang, Zhen Ye