| 2026 | AAAI | Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning. | Rui Ou, Kun Zhu, Nana Zhang, Jiangtong Li, Chaochao Chen, Yuhua Xu, Changjun Jiang |
| 2026 | ACL | Can LLMs Really Judge? A Progressive Argumentation-Mining Framework for Distinguishing Understanding from Aggregation. | Fuyu Wang, Jiangtong Li, Kun Zhu, Changjun Jiang |
| 2026 | ACL | Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression. | Liang Zhao, Xiaocheng Feng, Weihong Zhong, Lei Huang, Kun Zhu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin |
| 2026 | WCNC | HSASCom: A Point Cloud Semantic Communication System with SNR-Adaptive Hierarchical Feature Transmission. | Xuanyue Zhang, Luosong Guo, Kun Zhu |
| 2026 | WCNC | Adaptive LLM Inference in 6G Vehicular Networks via Layer Pruning and Offloading. | Yan Zhang, Huiru Li, Junhua Wang, Xuewen Luo, Kun Zhu, Zhu Han |
| 2026 | WWW | Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud. | Rongkun Cui, Nana Zhang, Kun Zhu, Qi Zhang |
| 2026 | WWW | STG-DGR: Fraud Detection on Streaming Transaction Graphs with Diffusion-based Generative Replay. | Rui Ou, Kun Zhu, Nana Zhang, Jiangtong Li, Chaochao Chen, Changjun Jiang |
| 2026 | WWW | Dynamic Min-Max Multi-Dimensional Reinforcement Backdoor Attacks and Orchestrated Closed-Loop Defense in Fairness-Aware Web Federated Finance. | Ruixiao Zhu, Kun Zhu, Nana Zhang, Qi Zhang, Changjun Jiang |
| 2025 | AAAI | Learning Joint Behaviors with Large Variations. | Tianxu Li, Kun Zhu |
| 2025 | ACL | Length Controlled Generation for Black-box LLMs. | Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Ting Liu, Bing Qin, Tat-Seng Chua |
| 2025 | ACL | InspireDebate: Multi-Dimensional Subjective-Objective Evaluation-Guided Reasoning and Optimization for Debating. | Fuyu Wang, Jiangtong Li, Kun Zhu, Changjun Jiang |
| 2025 | EMNLP | Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering. | Kun Zhu, Lizi Liao, Yuxuan Gu, Lei Huang, Xiaocheng Feng, Bing Qin |
| 2025 | GLOBECOM | Joint Resource and Trajectory Optimization for UAV-Assisted Emergency Semantic Communication. | Minna Huang, Kun Zhu, Yuanyuan Xu |
| 2025 | HPCC | Collaborative Edge-Device DNN Inference with Dynamic Model Partitioning, Data Compression and Resource Allocation. | Yufan Tang, Tong Zhang, Kun Zhu, Fengyuan Ren |
| 2025 | ICA3PP | Towards Privacy-Preserving Collaborative Detection of DDoS with Secure Multi-Party Computation. | Kun Zhu, Yang Du, He Huang, Yu-E Sun |
| 2025 | ICANN | FDFRL: Credit Card Fraud Detection Based on Federated Reinforcement Learning. | Nana Zhang, Qin Li, Kun Zhu, Dandan Zhu |
| 2025 | ICLR | Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization. | Tianxu Li, Kun Zhu |
| 2025 | INFOCOM | Joint Semantic Feature Selection and Resource Allocation Optimization via DIF-JSCC in IoVs. | Huiru Li, Junhua Wang, Xiuhua Li, Kun Zhu |
| 2025 | IWCMC | Learning-based Power Control for Secure Covert Semantic Communication. | Yansheng Liu, Jinbo Wen, Zongyao Zhang, Kun Zhu, Yang Zhang, Jiangtian Nie, Jiawen Kang |
| 2025 | IWQoS | Low-Latency Microsecond Message Scheduling with Global Consistent Priorities in RDMA Networks. | Qiuyu Yu, Tong Zhang, Kun Zhu, Fengyuan Ren, Yufan Tang, Xiaoxiang Hua |
| 2025 | KDD | Experience Speaks Louder: Black-box Hard-label Adversarial Attack through Reinforcement Learning. | Yilun Jin, Kun Zhu, Feng Tang, Jiaxuan Shi, Yong Chen |
| 2025 | MICCAI | From Pixels to Prognosis: A Multi-modal Attention-Based Framework for Visceral Adipose Tissue Estimation. | Arooba Maqsood, Afsah Saleem, Marc Sim, David Suter, Simone Radavelli-Bagatini, Jonathan M. Hodgson, Richard Prince, Kun Zhu, William D. Leslie, John T. Schousboe, Joshua R. Lewis, Syed Zulqarnain Gilani |
| 2025 | SMC | Hybrid Scheduling of Periodic and Burst Inference Tasks in Real-Time Edge Systems. | Yixuan Han, Tong Zhang, Kun Zhu |
| 2025 | WCNC | Deep Complex-valued Convolutional Learning for Waveform OFDM Receiver Design. | Jiequ Ji, Nam Phuong Tran, Zehui Xiong, Kun Zhu, Tony Q. S. Quek |
| 2025 | WCNC | Semantic Viruses: How to Destroy a Task Oriented Semantic Communication Network. | Heng Zhu, Feifei Song, Kun Zhu |
| 2024 | AAAI | Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series. | Kun Zhu, Chunhui Zhao |
| 2024 | ACL | An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. | Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin |
| 2024 | ACL | BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. | Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin |
| 2024 | CIKM | Efficient and Secure Contribution Estimation in Vertical Federated Learning. | Juan Li, Rui Deng, Tianzi Zang, Mingqi Kong, Kun Zhu |
| 2024 | IGARSS | An Adaptive Noise Reduction Method for Microseismic Data Using Parameter-Free Fuzzy Clustering. | Yuan Zhang, Jie Wang, Kun Zhu, Zhiqiang Lan, Tao Chen |
| 2024 | ICPR | E | Nana Zhang, Qian Liu, Dandan Zhu, Kun Zhu, Guangtao Zhai, Xiaokang Yang |
| 2024 | ICPR | TDiffSal: Text-Guided Diffusion Saliency Prediction Model for Images. | Nana Zhang, Min Xiong, Dandan Zhu, Kun Zhu, Guangtao Zhai |
| 2024 | MICCAI | Predicting Falls Through Muscle Weakness from a Single Whole Body Image: A Multimodal Contrastive Learning Framework. | Xia Zhang, Afsah Saleem, Zaid Ilyas, David Suter, Uzair Nadeem, Richard Prince, Kun Zhu, Joshua R. Lewis, Marc Sim, Syed Zulqarnain Gilani |
| 2024 | MMM | Semantic Importance-Based Deep Image Compression Using a Generative Approach. | Xi Gu, Yuanyuan Xu, Kun Zhu |
| 2024 | SMC | A Joint Multi-Dimensional Fine-Grained Pruning Method for Deep Neural Network. | Cong Chen, Tong Zhang, Kun Zhu |
| 2024 | WCNC | Model Selection Based on DRL: Improving Personal Model Performance in Federated Learning. | Zishang Chen, Juan Li, Kun Zhu, Changyan Yi, Tianzi Zang |
| 2024 | WCNC | Deep Learning-based Multiuser Physical Layer Communication Without Known Channel. | Jiequ Ji, Zehui Xiong, Kun Zhu, Tony Q. S. Quek |
| 2024 | WCNC | Energy-Efficient UAV Swarm Assisted MEC With Dynamic Clustering and Scheduling. | Jialiuyuan Li, Jiayuan Chen, Changyan Yi, Tong Zhang, Kun Zhu, Jun Cai |
| 2024 | WCNC | Performance-Impact Based Distributed Task Rescheduling for Multi-UAV Multi-Task Scenarios. | Kai Li, Kun Zhu |
| 2024 | WCNC | Efficient Knowledge Base Synchronization in Semantic Communication Network: A Federated Distillation Approach. | Xiaolan Lu, Kun Zhu, Juan Li, Yang Zhang |
| 2024 | WCNC | A NFV Technology with Expanded Wireless Communication Emulation Function. | Jiabin Yuan, Ming Chen, Kun Zhu |
| 2023 | EMNLP | Hierarchical Catalogue Generation for Literature Review: A Benchmark. | Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin |
| 2023 | ICPADS | Hierarchical Scheduling of Hybrid DNN Tasks in Embedded Real-Time Systems. | Jiaxin Feng, Kun Zhu, Tong Zhang |
| 2023 | ICPADS | Parallel-Driven Edge Computing Task Offloading for Profit Maximization Based on DDPG. | Lequn Fu, Houming Qiu, Kun Zhu |
| 2023 | WSDM | Multi-Intention Oriented Contrastive Learning for Sequential Recommendation. | Xuewei Li, Aitong Sun, Mankun Zhao, Jian Yu, Kun Zhu, Di Jin, Mei Yu, Ruiguo Yu |
| 2022 | GLOBECOM | Knowledge-Assisted Few-Shot Fault Diagnosis in Cellular Networks. | Jianpeng Li, Kun Zhu, Yang Zhang |
| 2022 | GLOBECOM | Learning-based Multi-Objective Resource Allocation for Over-the-Air Federated Learning. | Xuezhen Tu, Kun Zhu |
| 2022 | GLOBECOM | Deep Reinforcement Learning for Autonomous Vehicles Collaboration at Unsignalized Intersections. | Jian Zheng, Kun Zhu, Ran Wang |
| 2022 | ICCCN | ORSM: Online Routing and Scheduling Mechanism for Mix-flows in Data Center Networks. | Zhewei Tang, Tong Zhang, Kun Zhu |
| 2022 | ISCC | Learning Auction in Coded Distributed Computing with Heterogeneous User Demands. | Jiawei Liang, Juan Li, Kun Zhu, Changyan Yi |
| 2022 | ISCC | Joint Task Offloading and VM Placement for Edge Computing with Time-Sequential IIoT Applications. | Mingzhu Qiang, Changyan Yi, Juan Li, Kun Zhu, Jun Cai |
| 2022 | WCNC | Multi-Agent Deep Reinforcement Learning for Full-Duplex Multi-UAV Networks. | Chen Dai, Kun Zhu, Ekram Hossain |
| 2022 | WCNC | Reinforcement Learning for Trajectory Design in Cache-enabled UAV-assisted Cellular Networks. | Hu Xu, Jiequ Ji, Kun Zhu, Ran Wang |
| 2021 | GLOBECOM | Multi-objective Mobile Charging Scheduling on the Internet of Electric Vehicles: a DRL Approach. | Hui Wang, Ran Wang, Hu Xu, Kun Zhu, Changyan Yi, Dusit Niyato |
| 2021 | HPCC | FIT: Fairness-Aware Intelligent Traffic Signal Control with Deep Reinforcement Learning. | Jian Chen, Zhengwei Zhang, Jianhang Feng, Kun Zhu |
| 2021 | HPCC | Joint Energy and Computation Workload Management for Geo-Distributed Data Centers in Smart Grid. | Zizhen Li, Ran Wang, Kun Zhu, Changyan Yi, Linfeng Liu, Dusit Niyato |
| 2021 | WCNC | Missing Data Inference for Crowdsourced Radio Map Construction: An Adversarial Auto-Encoder Method. | Aijin Zhang, Kun Zhu, Ran Wang, Changyan Yi |
| 2020 | GLOBECOM | Joint Resource Allocation and Trajectory Design for UAV-assisted Mobile Edge Computing Systems. | Jiequ Ji, Kun Zhu, Changyan Yi, Ran Wang, Dusit Niyato |
| 2020 | GLOBECOM | Peer Effect-based Demand Response in Smart Grid: A Game Theoretical Approach. | Ang Ji, Ran Wang, Kun Zhu, Zehui Xiong, Dusit Niyato |
| 2020 | GLOBECOM | UAV-Assisted Ground Signal Map Construction based on 3-D Spatial Correlation. | Chaoquan Tao, Kun Zhu, Bing Chen, Yanchao Zhao |
| 2020 | GLOBECOM | Data Pricing for Blockchain-based Car Sharing: A Stackelberg Game Approach. | Chengzhen Xu, Kun Zhu, Changyan Yi, Ran Wang |
| 2020 | ICCCN | Beyond Model-Level Membership Privacy Leakage: an Adversarial Approach in Federated Learning. | Jiale Chen, Jiale Zhang, Yanchao Zhao, Hao Han, Kun Zhu, Bing Chen |
| 2020 | VTC | Computation Offloading Game for Edge Computing with Strategic Local Pre-Processing Time-Length. | Changyan Yi, Jun Cai, Ran Wang, Kun Zhu |
| 2020 | WCNC | Comprehensive Study on CC-LDPC, BC-LDPC and Polar Code. | Kun Zhu, Zhanji Wu |
| 2019 | GLOBECOM | Resource Allocation for Mobile Blockchain: A Hierarchical Combinatorial Auction Approach. | Shan Li, Kun Zhu, Yuanyuan Xu, Ran Wang, Yanchao Zhao |
| 2019 | HPCC | Matching-Based Channel Assignment for Cooperative Sensing in Full-Duplex Cognitive Radio Networks. | Na Wang, Kun Zhu, Hongyan Qian, Ran Wang, Yuanyuan Xu |
| 2019 | ICPADS | Cost-Effective Signal Map Crowdsourcing with Auto-Encoder Based Active Matrix Completion. | Chengyong Liu, Yanchao Zhao, Kun Zhu, Sheng Zhang, Jie Wu |
| 2019 | ICPADS | Optimal Auction for Resource Allocation in Wireless Virtualization: A Deep Learning Approach. | Jun Qian, Kun Zhu, Ran Wang, Yanchao Zhao |
| 2019 | WCNC | Backscatter-Aided Relay Communications in Wireless Powered Hybrid Radio Networks. | Wenfan Chen, Wei Liu, Lin Gao, Shimin Gong, Chengming Li, Kun Zhu |
| 2019 | WCNC | Decoupled Uplink-Downlink User Association in Ultra-Dense Networks: A Contract-Theoretic Approach. | Chen Dai, Kun Zhu, Ran Wang, Yuanyuan Xu |
| 2018 | GLOBECOM | Context-Aware Decoupled Multiple Association in Ultra-Dense Networks. | Zhenzhen Li, Kun Zhu, Ran Wang, Yuanyuan Xu |
| 2018 | GLOBECOM | Joint Optimization of Wireless Power Transfer and Collaborative Beamforming for Relay Communications. | Yuze Zou, Wei Liu, Shimin Gong, Kun Zhu, Dusit Niyato |
| 2018 | GPC | A Multi-task Decomposition and Reorganization Scheme for Collective Computing Using Extended Task-Tree. | Zhenhua Zhang, Yunlong Zhao, Yang Li, Kun Zhu, Ran Wang |
| 2018 | ISDA | Mixed Credit Scoring Model of Logistic Regression and Evidence Weight in the Background of Big Data. | Keqin Chen, Kun Zhu, Yixin Meng, Amit Yadav, Asif Khan |
| 2018 | WCNC | Performance analysis of ambient backscatter communications in RF-powered cognitive radio networks. | Longteng Xu, Kun Zhu, Ran Wang, Shimin Gong |
| 2017 | GLOBECOM | Ensemble Learning and SMOTE Based Fault Diagnosis System in Self-Organizing Cellular Networks. | Mengyun Sun, Hongyan Qian, Kun Zhu, Donghai Guan, Ran Wang |
| 2017 | GLOBECOM | Energy Generation Scheduling in Microgrids Involving Temporal-Correlated Renewable Energy. | Ran Wang, Gaoxi Xiao, Ping Wang, Yue Cao, Guoqi Li, Jie Hao, Kun Zhu |
| 2017 | GLOBECOM | Virtualization of 5G Cellular Networks: A Combinatorial Double Auction Approach. | Xuan Zhang, Hongyan Qian, Kun Zhu, Ran Wang, Yang Zhang |
| 2017 | ISPA | Performance Analysis of Full-Duplex D2D Communications in Multi-Tier Heterogeneous Wireless Networks. | Shaoqi Xia, Bing Chen, Kun Zhu, Xiangping Zhai, Shimin Gong |
| 2017 | WCNC | Wireless Virtualization as a Hierarchical Combinatorial Auction: An Illustrative Example. | Kun Zhu, Zijing Cheng, Bing Chen, Ran Wang |
| 2015 | IECON | New trends in the development of wide-area damping control systems. | Kun Zhu |
| 2015 | PIMRC | Service provisioning with multiple service providers in 5G ultra-dense small cell networks. | Zheng Chang, Kun Zhu, Zhenyu Zhou, Tapani Ristaniemi |
| 2013 | GLOBECOM | Distributed resource allocation for self-organizing small cell networks: An evolutionary game approach. | Prabodini Semasinghe, Kun Zhu, Ekram Hossain |
| 2011 | CCGRID | Resource and Revenue Sharing with Coalition Formation of Cloud Providers: Game Theoretic Approach. | Dusit Niyato, Athanasios V. Vasilakos, Kun Zhu |
| 2011 | GLOBECOM | Dynamic Bandwidth Allocation under Uncertainty in Cognitive Radio Networks. | Kun Zhu, Dusit Niyato, Ping Wang |
| 2010 | EDOC | Mapping the Substation Configuration Language of IEC 61850 to ArchiMate. | Johan Knig, Kun Zhu, Lars Nordstrm, Mathias Ekstedt, Robert Lagerstrm |
| 2010 | GLOBECOM | Optimal Bandwidth Allocation with Dynamic Service Selection in Heterogeneous Wireless Networks. | Kun Zhu, Dusit Niyato, Ping Wang |
| 2010 | WCNC | Network Selection in Heterogeneous Wireless Networks: Evolution with Incomplete Information. | Kun Zhu, Dusit Niyato, Ping Wang |
| 2009 | CaiSE | Enterprise Architecture Analysis using Fault Trees and MODAF. | Ulrik Franke, Pontus Johnson, Evelina Ericsson, Waldo Rocha Flores, Kun Zhu |
| 2009 | ICNC | Research on DCW-PSO Algorithm and Its Application in Intelligent Transportation Systems. | Wenjie Li, Kun Zhu |
| 2007 | CDVE | Novel Collaborative Automated Testing Framework Using DDF*. | Songwen Pei, Baifeng Wu, Qiang Yu, Kun Zhu |
| 2006 | CSCWD | Towards Model-Driven Methodology: a Novel Testing Approach for Collaborative Embedded System Design. | Yi Jiao, Kun Zhu, Qiang Yu, Baifeng Wu |
| 2005 | CSCWD | Towards a Systematic Conflict Resolution Policy in Multi-agent System: A Conceptual Framework. | Yi Jiao, Baifeng Wu, Kun Zhu, Qiang Yu |