Performance improvements of interference alignment with multiuser diversity in cognitive radio networks. - Ying He 006; Hongxi Yin; F. Richard Yu; Nan Zhao 001 (WCSP, 2013)

Spectrum-efficient topology management of asymmetric interference alignment networks. - Xinyu Zhang; F. Richard Yu; Ying He 006; Nan Zhao 001 (ICCC, 2014)

Big Data Analytics in Mobile Cellular Networks. - Ying He 006; Fei Richard Yu; Nan Zhao 001; Hongxi Yin; Haipeng Yao; Robert C. Qiu (IEEE Access, 2016)

A Big Data Deep Reinforcement Learning Approach to Next Generation Green Wireless Networks. - Ying He 006; Zheng Zhang; Yanhua Zhang (GLOBECOM, 2017)

Optimization of cache-enabled opportunistic interference alignment wireless networks: A big data deep reinforcement learning approach. - Ying He 006; Chengchao Liang; F. Richard Yu; Nan Zhao 001; Hongxi Yin (ICC, 2017)

Energy-efficient resource allocation in software-defined mobile networks with mobile edge computing and caching. - Chengchao Liang; Ying He 006; F. Richard Yu; Nan Zhao 001 (INFOCOM Workshops, 2017)

Deep Reinforcement Learning (DRL)-based Resource Management in Software-Defined and Virtualized Vehicular Ad Hoc Networks. - Ying He 006; F. Richard Yu; Nan Zhao 001; Hongxi Yin; Azzedine Boukerche (DIVANet@MSWiM, 2017)

Resource Allocation in Software-Defined and Information-Centric Vehicular Networks with Mobile Edge Computing. - Ying He 006; Chengchao Liang; Zheng Zhang; F. Richard Yu; Nan Zhao 001; Hongxi Yin; Yanhua Zhang (VTC Fall, 2017)

Video Rate Adaptation and Traffic Engineering in Mobile Edge Computing and Caching-Enabled Wireless Networks. - Chengchao Liang; Ying He 006; F. Richard Yu; Nan Zhao 001 (VTC Fall, 2017)

Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach. - Ying He 006; F. Richard Yu; Nan Zhao 001; Victor C. M. Leung; Hongxi Yin (IEEE Commun. Mag., 2017)

A Survey on Compressed Sensing in Vehicular Infotainment Systems. - Jie Guo 008; Bin Song 001; Ying He 006; Fei Richard Yu; Mehdi Sookhak (IEEE Commun. Surv. Tutorials, 2017)

Deep-Reinforcement-Learning-Based Optimization for Cache-Enabled Opportunistic Interference Alignment Wireless Networks. - Ying He 006; Zheng Zhang; F. Richard Yu; Nan Zhao 001; Hongxi Yin; Victor C. M. Leung; Yanhua Zhang (IEEE Trans. Veh. Technol., 2017)

Communication-Based Train Control System Performance Optimization Using Deep Reinforcement Learning. - Li Zhu 002; Ying He 006; F. Richard Yu; Bin Ning; Tao Tang 004; Nan Zhao 001 (IEEE Trans. Veh. Technol., 2017)

Enhancing QoE-Aware Wireless Edge Caching With Software-Defined Wireless Networks. - Chengchao Liang; Ying He 006; F. Richard Yu; Nan Zhao 001 (IEEE Trans. Wirel. Commun., 2017)

Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing. - Mehdi Sookhak; F. Richard Yu; Ying He 006; Hamid Talebian; Nader Sohrabi Safa; Nan Zhao 001; Muhammad Khurram Khan; Neeraj Kumar 001 (IEEE Veh. Technol. Mag., 2017)

Integrated Computing, Caching, and Communication for Trust-Based Social Networks: A Big Data DRL Approach. - Ying He 006; Chengchao Liang; F. Richard Yu; Victor C. M. Leung (GLOBECOM, 2018)

Virtualization for Distributed Ledger Technology (vDLT). - Fei Richard Yu; Jianmin Liu; Ying He 006; Pengbo Si; Yanhua Zhang (IEEE Access, 2018)

Securing Cognitive Radio Vehicular Ad Hoc Networks with Fog Computing. - Ying He 006; Zhexiong Wei; Guangzheng Du; Jian Li; Nan Zhao 001; Hongxi Yin (Ad Hoc Sens. Wirel. Networks, 2018)

Integration of Networking, Caching, and Computing in Wireless Systems: A Survey, Some Research Issues, and Challenges. - Chen-meng Wang; Ying He 006; F. Richard Yu; Qianbin Chen; Lun Tang (IEEE Commun. Surv. Tutorials, 2018)

Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach. - Ying He 006; Nan Zhao 001; Hongxi Yin (IEEE Trans. Veh. Technol., 2018)

Enhancing Video Rate Adaptation With Mobile Edge Computing and Caching in Software-Defined Mobile Networks. - Chengchao Liang; Ying He 006; F. Richard Yu; Nan Zhao 001 (IEEE Trans. Wirel. Commun., 2018)

Secure Social Networks in 5G Systems with Mobile Edge Computing, Caching, and Device-to-Device Communications. - Ying He 006; F. Richard Yu; Nan Zhao 001; Hongxi Yin (IEEE Wirel. Commun., 2018)

Trust management for secure cognitive radio vehicular ad hoc networks. - Ying He 006; F. Richard Yu; Zhexiong Wei; Victor C. M. Leung (Ad Hoc Networks, 2019)

Security and Privacy of Smart Cities: A Survey, Research Issues and Challenges. - Mehdi Sookhak; Helen Tang; Ying He 006; F. Richard Yu (IEEE Commun. Surv. Tutorials, 2019)

Buffer-Aware Streaming in Small-Scale Wireless Networks: A Deep Reinforcement Learning Approach. - Yashuang Guo; F. Richard Yu; Jianping An; Kai Yang 004; Ying He 006; Victor C. M. Leung (IEEE Trans. Veh. Technol., 2019)

Improving Approximate Logic Neuron Model by Means of a Novel Learning Algorithm. - Jiajun Zhao; Minhui Dong; Cheng Tang 001; Junkai Ji; Ying He 006 (ICIC (1), 2020)

Trust-Based Social Networks with Computing, Caching and Communications: A Deep Reinforcement Learning Approach. - Ying He 006; Chengchao Liang; F. Richard Yu; Zhu Han 001 (IEEE Trans. Netw. Sci. Eng., 2020)

A Blockchain-Enabled Federated Learning System with Edge Computing for Vehicular Networks. - Ying He 006; Ke Huang; Guangzheng Zhang; Jianqiang Li 001; Jianyong Chen; Victor C. M. Leung (GLOBECOM (Workshops), 2021)

A Fast-adaptive Edge Resource Allocation Strategy for Dynamic Vehicular Networks. - Ying He 006; Yuhang Wang; Qiuzhen Lin; Jianqiang Li 001; Victor C. M. Leung (ICNP, 2021)

Flexi-Compression: A Flexible Model Compression Method for Autonomous Driving. - Hantao Liu; Ying He 006; F. Richard Yu; Jeremy James (DIVANet, 2021)

Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach. - Ying He 006; Yuhang Wang; Chao Qiu; Qiuzhen Lin; Jianqiang Li 001; Zhong Ming 001 (IEEE Internet Things J., 2021)

System Identification Based on Generalized Orthonormal Basis Function for Unmanned Helicopters: A Reinforcement Learning Approach. - Zun Liu; Jianqiang Li 001; Cheng Wang 039; F. Richard Yu; Jie Chen 027; Ying He 006; Changyin Sun 001 (IEEE Trans. Veh. Technol., 2021)

DADEs: 5G Dual-Adaptive Delay-aware and Energy-saving System with Tandem Learning. - Sheng Lin; Chao Qiu; Jingchao Tan; Xiaofei Wang 001; Yajun Yang; Ying He 006; Jing Jiang 026 (GLOBECOM, 2022)

Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. - Guangyuan Zou; Ying He 006; F. Richard Yu; Longquan Chen; Weike Pan; Zhong Ming 001 (IJCAI, 2022)

$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing. - Shen Zhuang; Chengxi Gao; Ying He 006; F. Richard Yu; Yuhang Wang; Weike Pan; Zhong Ming 001 (IJCNN, 2022)

When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach. - Shen Zhuang; Ying He 006; F. Richard Yu; Chengxi Gao; Weike Pan; Zhong Ming 001 (IWQoS, 2022)

Bift: A Blockchain-Based Federated Learning System for Connected and Autonomous Vehicles. - Ying He 006; Ke Huang; Guangzheng Zhang; F. Richard Yu; Jianyong Chen; Jianqiang Li 001 (IEEE Internet Things J., 2022)

RTT-Based Rogue UAV Detection in IoV Networks. - Nilesh Chakraborty; Yao Chao; Jianqiang Li 001; Sumit Mishra; Chengwen Luo 001; Ying He 006; Jie Chen 027; Yi Pan 001 (IEEE Internet Things J., 2022)

An Efficient Ciphertext-Policy Attribute-Based Encryption Scheme Supporting Collaborative Decryption With Blockchain. - Ying He 006; Haiyan Wang 009; Yuan Li; Ke Huang; Victor C. M. Leung; F. Richard Yu; Zhong Ming 001 (IEEE Internet Things J., 2022)

Runtime Assurance of Learning-Based Lane Changing Control for Autonomous Driving Vehicles. - Qiang Wang 020; Guang Kou; Longquan Chen; Ying He 006; Weipeng Cao; Geguang Pu (J. Circuits Syst. Comput., 2022)

An HTTP Anomaly Detection Architecture Based on the Internet of Intelligence. - Yufei An; Ying He 006; F. Richard Yu; Jianqiang Li 001; Jianyong Chen; Victor C. M. Leung (IEEE Trans. Cogn. Commun. Netw., 2022)

Efficient Resource Allocation for Multi-Beam Satellite-Terrestrial Vehicular Networks: A Multi-Agent Actor-Critic Method With Attention Mechanism. - Ying He 006; Yuhang Wang; F. Richard Yu; Qiuzhen Lin; Jianqiang Li 001; Victor C. M. Leung (IEEE Trans. Intell. Transp. Syst., 2022)

Joint Optimization of Sensing, Decision-Making and Motion-Controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach. - Longquan Chen; Ying He 006; Qiang Wang 020; Weike Pan; Zhong Ming 001 (IEEE Trans. Veh. Technol., 2022)

Meta-Hierarchical Reinforcement Learning (MHRL)-Based Dynamic Resource Allocation for Dynamic Vehicular Networks. - Ying He 006; Yuhang Wang; Qiuzhen Lin; Jianqiang Li 001 (IEEE Trans. Veh. Technol., 2022)

A Dynamic Selective Parameter Sharing Mechanism Embedded with Multi-Level Reasoning Abstractions. - Yan Liu 004; Ying He 006; Zhong Ming 001; F. Richard Yu (ECAI, 2023)

A Novel Intrusion Detection Architecture for the Internet of Things (IoT) with Knowledge Discovery and Sharing. - Yufei An; F. Richard Yu; Ying He 006; Jianqiang Li 001; Jianyong Chen; Victor C. M. Leung (GLOBECOM, 2023)

Task Offloading and Resource Allocation for SLAM Back-End Optimization: A Rewardless Active Inference Approach. - Jingcheng Fang; Ying He 006; F. Richard Yu; Jianqiang Li 001; Victor C. M. Leung (GLOBECOM, 2023)

Resource Allocation for Cognitive Radio Inspired Non-Orthogonal Multiple Access Networks: A Quantum Soft Actor-Critic Method. - Chao Huang; Ying He 006; Fei Richard Yu; Peigen Zeng (GLOBECOM, 2023)

Quantum Reinforcement Learning with Quantum World Model. - Peigen Zeng; Ying He 006; F. Richard Yu; Victor C. M. Leung (GLOBECOM, 2023)

Bagging R-CNN: Ensemble for Object Detection in Complex Traffic Scenes. - Pengteng Li; Ying He 006; Dongfu Yin; F. Richard Yu; Pinhao Song (ICASSP, 2023)

RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models. - Xingchen Zhou; Ying He 006; F. Richard Yu; Jianqiang Li 001; You Li (IJCAI, 2023)

IGG: Improved Graph Generation for Domain Adaptive Object Detection. - Pengteng Li; Ying He 006; F. Richard Yu; Pinhao Song; Dongfu Yin; Guang Zhou (ACM Multimedia, 2023)

Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Networks: An Active Inference Approach. - Jingcheng Fang; Ying He 006; F. Richard Yu; Jianqiang Li 001; Victor C. M. Leung (VTC Fall, 2023)

A Novel Visual SLAM System for Autonomous Vehicles in Dynamic Environments. - Xinyu Zeng; Ying He 006; F. Richard Yu; Guang Zhou (VTC Fall, 2023)

A Novel Generalized Meta Hierarchical Reinforcement Learning Method for Autonomous Vehicles. - Longquan Chen; Ying He 006; Weike Pan; F. Richard Yu; Zhong Ming 001 (IEEE Netw., 2023)

A novel molecular docking program based on a multi-swarm competitive algorithm. - Jin Zhou; Zhangfan Yang; Ying He 006; Junkai Ji; Qiuzhen Lin; Jianqiang Li 001 (Swarm Evol. Comput., 2023)

A Hybrid Driving Decision-Making System Integrating Markov Logic Networks and Connectionist AI. - Mengyao Wu; F. Richard Yu; Peter Xiaoping Liu; Ying He 006 (IEEE Trans. Intell. Transp. Syst., 2023)

Efficient Resource Allocation in Multi-UAV Assisted Vehicular Networks With Security Constraint and Attention Mechanism. - Yuhang Wang; Ying He 006; F. Richard Yu; Qiuzhen Lin; Victor C. M. Leung (IEEE Trans. Wirel. Commun., 2023)

Efficient Resource Allocation for Building the Metaverse with UAVs: A Quantum Collective Reinforcement Learning Approach. - Yuhang Wang; Ying He 006; F. Richard Yu; Bin Song 001; Victor C. M. Leung (IEEE Wirel. Commun., 2023)

Resource Allocation for Video Diffusion Task Offloading in Cloud-Edge Networks: A Deep Active Inference Approach. - Jiongfeng Fang; Ying He 006; F. Richard Yu; Jianbo Du (GLOBECOM, 2024)

A Novel Meta-Hierarchical Active Inference Reinforcement Learning Approach for QoS-Driven Resource Allocation in Dynamic Clouds. - Peijie Xian; Ying He 006; F. Richard Yu; Jianbo Du (GLOBECOM, 2024)

A Quantum Temporal Difference Learning Method Based on Quantum World Model. - Peigen Zeng; Ying He 006; F. Richard Yu; Jianbo Du (GLOBECOM, 2024)

OTOcc: Optimal Transport for Occupancy Prediction. - Pengteng Li; Ying He 006; F. Richard Yu; Pinhao Song; Xingchen Zhou; Guang Zhou (IJCAI, 2024)

ABM: Attention before Manipulation. - Fan Zhuo; Ying He 006; Fei Yu; Pengteng Li; Zheyi Zhao; Xilong Sun (IJCAI, 2024)

PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning. - Fangze Lin; Ying He 006; Fei Richard Yu (IROS, 2024)

LLaKey: Follow My Basic Action Instructions to Your Next Key State. - Zheyi Zhao; Ying He 006; Fei Yu; Pengteng Li; Fan Zhuo; Xilong Sun (IROS, 2024)

A Language-Driven Navigation Strategy Integrating Semantic Maps and Large Language Models. - Zhengjun Zhong; Ying He 006; Pengteng Li; Fei Yu; Fei Ma 006 (IROS, 2024)

OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations. - Yao Shu; Jiongfeng Fang; Ying He 006; Fei Richard Yu (NeurIPS, 2024)

SPP-SLAM: Dynamic Visual SLAM with Multiple Constraints based on Semantic Masks and Probabilistic Propagation. - Run Qiu; Ying He 006; F. Richard Yu; Guang Zhou (WCNC, 2024)

Intelligence-based Reinforcement Learning for Continuous Dynamic Resource Allocation in Vehicular Networks. - Yuhang Wang; Ying He 006; F. Richard Yu; Kaishun Wu (WCNC, 2024)

Towards Secure and Efficient Data Scheduling for Vehicular Social Networks. - Youhua Xia; Tiehua Zhang; Jiong Jin; Ying He 006; Fei Yu (CoRR, 2024)

Generative Technology for Human Emotion Recognition: A Scope Review. - Fei Ma 006; Yucheng Yuan; Yifan Xie; Hongwei Ren; Ivan Liu; Ying He 006; Fuji Ren; Fei Richard Yu; Shiguang Ni (CoRR, 2024)

A Review of Human Emotion Synthesis Based on Generative Technology. - Fei Ma 006; Yukan Li; Yifan Xie; Ying He 006; Yi Zhang; Hongwei Ren; Zhou Liu; Wei Yao; Fuji Ren; Fei Richard Yu; Shiguang Ni (CoRR, 2024)

A Novel Internet of Things Web Attack Detection Architecture Based on the Combination of Symbolism and Connectionism AI. - Yufei An; F. Richard Yu; Ying He 006; Jianqiang Li 001; Jianyong Chen; Victor C. M. Leung (IEEE Internet Things J., 2024)

A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications. - Longquan Chen; Ying He 006; F. Richard Yu; Weike Pan; Zhong Ming 001 (IEEE Trans. Veh. Technol., 2024)

Connected and Autonomous Vehicles in Web3: An Intelligence-Based Reinforcement Learning Approach. - Yuzheng Ren; Renchao Xie; Fei Richard Yu; Ran Zhang 004; Yuhang Wang; Ying He 006; Tao Huang 005 (IEEE Trans. Intell. Transp. Syst., 2024)

Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Computing: An Active Inference Approach. - Ying He 006; Jingcheng Fang; F. Richard Yu; Victor C. M. Leung (IEEE Trans. Mob. Comput., 2024)

A Deep Learning System for Detecting IoT Web Attacks With a Joint Embedded Prediction Architecture (JEPA). - Yufei An; F. Richard Yu; Ying He 006; Jianqiang Li 001; Jianyong Chen; Victor C. M. Leung (IEEE Trans. Netw. Serv. Manag., 2024)

DEP-SLAM: A Dynamic Environment Perception SLAM System with Large Language Models. - Ying He 006; E. Richard Yu; Fei Ma 006; Ming Li 011; Guang Zhou (ICASSP, 2025)

Resource Allocation for Semantic Segmentation Tasks in Autonomous Driving: A Likelihood Active Inference Approach. - Xinxin Zhu; F. Richard Yu; Ying He 006; Biao He (ICASSP, 2025)

Audio-Driven Talking Face Video Generation with Joint Uncertainty Learning. - Yifan Xie; Fei Ma 006; Yi Bin; Ying He 006; Fei Yu (ICMR, 2025)

Facilitating Autonomous Driving Tasks With Large Language Models. - Mengyao Wu; F. Richard Yu; Peter Xiaoping Liu; Ying He 006 (IEEE Intell. Syst., 2025)

Generative technology for human emotion recognition: A scoping review. - Fei Ma 006; Yucheng Yuan; Yifan Xie; Hongwei Ren; Ivan Liu; Ying He 006; Fuji Ren; Fei Richard Yu; Shiguang Ni (Inf. Fusion, 2025)

A Survey of DDoS Attack and Defense Technologies in Multiaccess Edge Computing. - Yong Ma; Long Liu; Zhiquan Liu; Fagen Li; Qilin Xie; Kaiwei Chen; Chenyang Lv; Ying He 006; Fan Li (IEEE Internet Things J., 2025)

Towards Secure and Efficient Data Scheduling for Vehicular Social Networks. - Youhua Xia; Tiehua Zhang; Jiong Jin; Ying He 006; F. Richard Yu (IEEE Trans. Veh. Technol., 2025)

Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction. - Gan Chen; Ying He 006; Mulin Yu; F. Richard Yu; Gang Xu; Fei Ma 006; Ming Li 011; Guang Zhou (CoRR, 2025)

Intelligence-Based Reinforcement Learning for Dynamic Resource Optimization in Edge Computing-Enabled Vehicular Networks. - Yuhang Wang; Ying He 006; F. Richard Yu; Kaishun Wu; Shanzhi Chen (IEEE Trans. Mob. Comput., 2025)

Industrial Internet of Things With Large Language Models (LLMs): An Intelligence-Based Reinforcement Learning Approach. - Yuzheng Ren; Haijun Zhang 001; Fei Richard Yu; Wei Li 240; Pincan Zhao; Ying He 006 (IEEE Trans. Mob. Comput., 2025)

MD-SLAM: A Multi-Task Deep-Learning-Based Visual SLAM System in Dynamic Environments. - Ying He 006; Xinyu Zeng; F. Richard Yu; Zhengjun Zhong; Zhiquan Liu; Guang Zhou (IEEE Trans. Veh. Technol., 2025)

Light-weight monocular depth estimation via transformer-fusion for monocular visual SLAM. - Ying He 006; Pengshuai Yin; F. Richard Yu; Xinyu Zeng; Zhiquan Liu (Inf. Fusion, 2026)