Ying He

111 papers A* 10A 7B 16C 1Misc 3Journal 61Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Modeling Methods for 6G Digital Twin Networks: An Intelligence-Based Reinforcement Learning Approach.
IEEE Netw.
Yuzheng Ren, Liuqi Fan, Haijun Zhang, Fei Richard Yu, Xueyan Cao, Wei Huangfu, Ying He
2026 A* conf
ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation.
AAAI
Weize Xie, Yi Ding, Ying He, Leilei Wang, Binwen Bai, Zheyi Zhao, Chenyang Wang, F. Richard Yu
2026 J jnl
ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation.
CoRR
Weize Xie, Yi Ding, Ying He, Leilei Wang, Binwen Bai, Zheyi Zhao, Chenyang Wang, F. Richard Yu
2026 J jnl
LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models.
CoRR
Chenxing Wei, Jiazhen Kang, Hong Wang, Jianqing Zhang, Hao Jiang, Xiaolong Xu, Ningyuan Sun, Ying He, F. Richard Yu, Yao Shu, Bo Jiang
2026 J jnl
Light-weight monocular depth estimation via transformer-fusion for monocular visual SLAM.
Inf. Fusion
Ying He, Pengshuai Yin, F. Richard Yu, Xinyu Zeng, Zhiquan Liu
2026 A* conf
PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization.
AAAI
Xinxin Zhu, Ying He, Haowen Hou, Ruichong Zhang, Nianbo Zeng, Yulin Peng, Jiongfeng Fang, F. Richard Yu
2026 J jnl
Restoring neural radiance fields performance under adverse weather conditions.
Eng. Appl. Artif. Intell.
Ying He, Gan Chen, F. Richard Yu, Ming Li, Fei Ma, Guang Zhou
2026 J jnl
Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation.
CoRR
Chenxing Wei, Hong Wang, Ying He, Zhongxiang Dai, Bo Jiang, F. Richard Yu, Yao Shu
2025 J jnl
A Review of Human Emotion Synthesis Based on Generative Technology.
IEEE Trans. Affect. Comput.
Fei Ma, Yifan Xie, Yukan Li, Ying He, Yi Zhang, Hongwei Ren, Zhou Liu, Wei Yao, Fuji Ren, Fei Richard Yu, Shiguang Ni
2025 J jnl
A Survey of DDoS Attack and Defense Technologies in Multiaccess Edge Computing.
IEEE Internet Things J.
Yong Ma, Long Liu, Zhiquan Liu, Fagen Li, Qilin Xie, Kaiwei Chen, Chenyang Lv, Ying He, Fan Li
2025 A conf
ABM++: Learning Generalizable Manipulation Policies with a Mask-Guided World Model.
ECAI
Fan Zhuo, Ying He, F. Richard Yu, Pengshuai Yin, Fei Ma
2025 B conf
Audio-Driven Talking Face Video Generation with Joint Uncertainty Learning.
ICMR
Yifan Xie, Fei Ma, Yi Bin, Ying He, Fei Yu
2025 J jnl
Audio-Driven Talking Face Video Generation with Joint Uncertainty Learning.
CoRR
Yifan Xie, Fei Ma, Yi Bin, Ying He, Fei Yu
2025 A conf
Congestion Control for Blockchain-enabled SDN in Web 4.0: A Reinforcement Learning Approach through Active Inference.
ICDCS
Chenyang Wang, Xiaoxu Ren, Ying He, Fei Yu, Victor C. M. Leung
2025 Misc conf
DEP-SLAM: A Dynamic Environment Perception SLAM System with Large Language Models.
ICASSP
Ying He, F. Richard Yu, Fei Ma, Ming Li, Guang Zhou
2025 J jnl
Facilitating Autonomous Driving Tasks With Large Language Models.
IEEE Intell. Syst.
Mengyao Wu, F. Richard Yu, Peter Xiaoping Liu, Ying He
2025 J jnl
Generative technology for human emotion recognition: A scoping review.
Inf. Fusion
Fei Ma, Yucheng Yuan, Yifan Xie, Hongwei Ren, Ivan Liu, Ying He, Fuji Ren, Fei Richard Yu, Shiguang Ni
2025 J jnl
Industrial Internet of Things With Large Language Models (LLMs): An Intelligence-Based Reinforcement Learning Approach.
IEEE Trans. Mob. Comput.
Yuzheng Ren, Haijun Zhang, Fei Richard Yu, Wei Li, Pincan Zhao, Ying He
2025 — conf
Intelligence-Based Active Inference for Robots with Multimodal Large Language Models and Edge Computing.
INFOCOM WKSHPS
Huorong Dong, Ying He, F. Richard Yu, Guangzheng Zhang, Biao He, Jia Wang
2025 J jnl
Intelligence-Based Reinforcement Learning for Dynamic Resource Optimization in Edge Computing-Enabled Vehicular Networks.
IEEE Trans. Mob. Comput.
Yuhang Wang, Ying He, F. Richard Yu, Kaishun Wu, Shanzhi Chen
2025 A* conf
Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction.
IJCAI
Gan Chen, Ying He, Mulin Yu, F. Richard Yu, Gang Xu, Fei Ma, Ming Li, Guang Zhou
2025 J jnl
Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction.
CoRR
Gan Chen, Ying He, Mulin Yu, F. Richard Yu, Gang Xu, Fei Ma, Ming Li, Guang Zhou
2025 J jnl
JAM: Keypoint-Guided Joint Prediction after Classification-Aware Marginal Proposal for Multi-Agent Interaction.
CoRR
Fangze Lin, Ying He, Fei Yu, Hong Zhang
2025 J jnl
MD-SLAM: A Multi-Task Deep-Learning-Based Visual SLAM System in Dynamic Environments.
IEEE Trans. Veh. Technol.
Ying He, Xinyu Zeng, F. Richard Yu, Zhengjun Zhong, Zhiquan Liu, Guang Zhou
2025 A* conf
PAFT: Prompt-Agnostic Fine-Tuning.
EMNLP
Chenxing Wei, Mingwen Ou, Ying He, Yao Shu, Fei Yu
2025 J jnl
Quantum Reinforcement Learning for Cognitive Radio-Assisted UAV Traffic Offloading.
IEEE Trans. Veh. Technol.
Ying He, Chao Huang, F. Richard Yu, Zhiquan Liu, Guang Zhou
2025 Misc conf
Resource Allocation for Semantic Segmentation Tasks in Autonomous Driving: A Likelihood Active Inference Approach.
ICASSP
Xinxin Zhu, F. Richard Yu, Ying He, Biao He
2025 A conf
TagGuideBot: Enhancing Robot Intelligence with Object Tags and VLMs.
IROS
Jiayi Chen, Ying He, F. Richard Yu
2025 J jnl
Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs.
CoRR
Chenxing Wei, Hong Wang, Ying He, Fei Yu, Yao Shu
2025 J jnl
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks.
IEEE Trans. Veh. Technol.
Youhua Xia, Tiehua Zhang, Jiong Jin, Ying He, F. Richard Yu
2024 J jnl
A Deep Learning System for Detecting IoT Web Attacks With a Joint Embedded Prediction Architecture (JEPA).
IEEE Trans. Netw. Serv. Manag.
Yufei An, F. Richard Yu, Ying He, Jianqiang Li, Jianyong Chen, Victor C. M. Leung
2024 A conf
A Language-Driven Navigation Strategy Integrating Semantic Maps and Large Language Models.
IROS
Zhengjun Zhong, Ying He, Pengteng Li, Fei Yu, Fei Ma
2024 J jnl
A Novel Internet of Things Web Attack Detection Architecture Based on the Combination of Symbolism and Connectionism AI.
IEEE Internet Things J.
Yufei An, F. Richard Yu, Ying He, Jianqiang Li, Jianyong Chen, Victor C. M. Leung
2024 B conf
A Novel Meta-Hierarchical Active Inference Reinforcement Learning Approach for QoS-Driven Resource Allocation in Dynamic Clouds.
GLOBECOM
Peijie Xian, Ying He, F. Richard Yu, Jianbo Du
2024 J jnl
A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications.
IEEE Trans. Veh. Technol.
Longquan Chen, Ying He, F. Richard Yu, Weike Pan, Zhong Ming
2024 B conf
A Quantum Temporal Difference Learning Method Based on Quantum World Model.
GLOBECOM
Peigen Zeng, Ying He, F. Richard Yu, Jianbo Du
2024 J jnl
A Review of Human Emotion Synthesis Based on Generative Technology.
CoRR
Fei Ma, Yukan Li, Yifan Xie, Ying He, Yi Zhang, Hongwei Ren, Zhou Liu, Wei Yao, Fuji Ren, Fei Richard Yu, Shiguang Ni
2024 A* conf
ABM: Attention before Manipulation.
IJCAI
Fan Zhuo, Ying He, Fei Yu, Pengteng Li, Zheyi Zhao, Xilong Sun
2024 J jnl
Connected and Autonomous Vehicles in Web3: An Intelligence-Based Reinforcement Learning Approach.
IEEE Trans. Intell. Transp. Syst.
Yuzheng Ren, Renchao Xie, Fei Richard Yu, Ran Zhang, Yuhang Wang, Ying He, Tao Huang
2024 J jnl
Generative Technology for Human Emotion Recognition: A Scope Review.
CoRR
Fei Ma, Yucheng Yuan, Yifan Xie, Hongwei Ren, Ivan Liu, Ying He, Fuji Ren, Fei Richard Yu, Shiguang Ni
2024 B conf
Intelligence-based Reinforcement Learning for Continuous Dynamic Resource Allocation in Vehicular Networks.
WCNC
Yuhang Wang, Ying He, F. Richard Yu, Kaishun Wu
2024 — conf
LBVP: Lightweight Blockchain-Based Vehicle Platooning Scheme for Secure and Efficient Platoon Management.
ICA3PP (6)
Wenjie Fan, Zhiquan Liu, Libo Wang, Ying He, Jingjing Guo, Xia Feng, Jianfeng Ma
2024 A conf
LLaKey: Follow My Basic Action Instructions to Your Next Key State.
IROS
Zheyi Zhao, Ying He, Fei Yu, Pengteng Li, Fan Zhuo, Xilong Sun
2024 J jnl
Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Computing: An Active Inference Approach.
IEEE Trans. Mob. Comput.
Ying He, Jingcheng Fang, F. Richard Yu, Victor C. M. Leung
2024 A* conf
OTOcc: Optimal Transport for Occupancy Prediction.
IJCAI
Pengteng Li, Ying He, F. Richard Yu, Pinhao Song, Xingchen Zhou, Guang Zhou
2024 A* conf
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations.
NeurIPS
Yao Shu, Jiongfeng Fang, Ying He, Fei Richard Yu
2024 A conf
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning.
IROS
Fangze Lin, Ying He, Fei Yu
2024 J jnl
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning.
CoRR
Fangze Lin, Ying He, Fei Yu
2024 B conf
Resource Allocation for Video Diffusion Task Offloading in Cloud-Edge Networks: A Deep Active Inference Approach.
GLOBECOM
Jiongfeng Fang, Ying He, F. Richard Yu, Jianbo Du
2024 B conf
SPP-SLAM: Dynamic Visual SLAM with Multiple Constraints based on Semantic Masks and Probabilistic Propagation.
WCNC
Run Qiu, Ying He, F. Richard Yu, Guang Zhou
2024 J jnl
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks.
CoRR
Youhua Xia, Tiehua Zhang, Jiong Jin, Ying He, Fei Yu
2023 A conf
A Dynamic Selective Parameter Sharing Mechanism Embedded with Multi-Level Reasoning Abstractions.
ECAI
Yan Liu, Ying He, Zhong Ming, F. Richard Yu
2023 J jnl
A Hybrid Driving Decision-Making System Integrating Markov Logic Networks and Connectionist AI.
IEEE Trans. Intell. Transp. Syst.
Mengyao Wu, F. Richard Yu, Peter Xiaoping Liu, Ying He
2023 J jnl
A Novel Generalized Meta Hierarchical Reinforcement Learning Method for Autonomous Vehicles.
IEEE Netw.
Longquan Chen, Ying He, Weike Pan, F. Richard Yu, Zhong Ming
2023 B conf
A Novel Intrusion Detection Architecture for the Internet of Things (IoT) with Knowledge Discovery and Sharing.
GLOBECOM
Yufei An, F. Richard Yu, Ying He, Jianqiang Li, Jianyong Chen, Victor C. M. Leung
2023 — conf
A Novel Visual SLAM System for Autonomous Vehicles in Dynamic Environments.
VTC Fall
Xinyu Zeng, Ying He, F. Richard Yu, Guang Zhou
2023 J jnl
A novel molecular docking program based on a multi-swarm competitive algorithm.
Swarm Evol. Comput.
Jin Zhou, Zhangfan Yang, Ying He, Junkai Ji, Qiuzhen Lin, Jianqiang Li
2023 Misc conf
Bagging R-CNN: Ensemble for Object Detection in Complex Traffic Scenes.
ICASSP
Pengteng Li, Ying He, Dongfu Yin, F. Richard Yu, Pinhao Song
2023 J jnl
Efficient Resource Allocation for Building the Metaverse with UAVs: A Quantum Collective Reinforcement Learning Approach.
IEEE Wirel. Commun.
Yuhang Wang, Ying He, F. Richard Yu, Bin Song, Victor C. M. Leung
2023 J jnl
Efficient Resource Allocation in Multi-UAV Assisted Vehicular Networks With Security Constraint and Attention Mechanism.
IEEE Trans. Wirel. Commun.
Yuhang Wang, Ying He, F. Richard Yu, Qiuzhen Lin, Victor C. M. Leung
2023 A* conf
IGG: Improved Graph Generation for Domain Adaptive Object Detection.
ACM Multimedia
Pengteng Li, Ying He, F. Richard Yu, Pinhao Song, Dongfu Yin, Guang Zhou
2023 — conf
Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Networks: An Active Inference Approach.
VTC Fall
Jingcheng Fang, Ying He, F. Richard Yu, Jianqiang Li, Victor C. M. Leung
2023 B conf
Quantum Reinforcement Learning with Quantum World Model.
GLOBECOM
Peigen Zeng, Ying He, F. Richard Yu, Victor C. M. Leung
2023 A* conf
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models.
IJCAI
Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li
2023 J jnl
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models.
CoRR
Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li
2023 B conf
Resource Allocation for Cognitive Radio Inspired Non-Orthogonal Multiple Access Networks: A Quantum Soft Actor-Critic Method.
GLOBECOM
Chao Huang, Ying He, Fei Yu, Peigen Zeng
2023 B conf
Task Offloading and Resource Allocation for SLAM Back-End Optimization: A Rewardless Active Inference Approach.
GLOBECOM
Jingcheng Fang, Ying He, F. Richard Yu, Jianqiang Li, Victor C. M. Leung
2022 B conf
$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing.
IJCNN
Shen Zhuang, Chengxi Gao, Ying He, F. Richard Yu, Yuhang Wang, Weike Pan, Zhong Ming
2022 J jnl
An Efficient Ciphertext-Policy Attribute-Based Encryption Scheme Supporting Collaborative Decryption With Blockchain.
IEEE Internet Things J.
Ying He, Haiyan Wang, Yuan Li, Ke Huang, Victor C. M. Leung, F. Richard Yu, Zhong Ming
2022 J jnl
An HTTP Anomaly Detection Architecture Based on the Internet of Intelligence.
IEEE Trans. Cogn. Commun. Netw.
Yufei An, Ying He, F. Richard Yu, Jianqiang Li, Jianyong Chen, Victor C. M. Leung
2022 J jnl
Bift: A Blockchain-Based Federated Learning System for Connected and Autonomous Vehicles.
IEEE Internet Things J.
Ying He, Ke Huang, Guangzheng Zhang, F. Richard Yu, Jianyong Chen, Jianqiang Li
2022 B conf
DADEs: 5G Dual-Adaptive Delay-aware and Energy-saving System with Tandem Learning.
GLOBECOM
Sheng Lin, Chao Qiu, Jingchao Tan, Xiaofei Wang, Yajun Yang, Ying He, Jing Jiang
2022 J jnl
Efficient Resource Allocation for Multi-Beam Satellite-Terrestrial Vehicular Networks: A Multi-Agent Actor-Critic Method With Attention Mechanism.
IEEE Trans. Intell. Transp. Syst.
Ying He, Yuhang Wang, F. Richard Yu, Qiuzhen Lin, Jianqiang Li, Victor C. M. Leung
2022 J jnl
Joint Optimization of Sensing, Decision-Making and Motion-Controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach.
IEEE Trans. Veh. Technol.
Longquan Chen, Ying He, Qiang Wang, Weike Pan, Zhong Ming
2022 J jnl
Meta-Hierarchical Reinforcement Learning (MHRL)-Based Dynamic Resource Allocation for Dynamic Vehicular Networks.
IEEE Trans. Veh. Technol.
Ying He, Yuhang Wang, Qiuzhen Lin, Jianqiang Li
2022 A* conf
Multi-Constraint Deep Reinforcement Learning for Smooth Action Control.
IJCAI
Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming
2022 J jnl
RTT-Based Rogue UAV Detection in IoV Networks.
IEEE Internet Things J.
Nilesh Chakraborty, Yao Chao, Jianqiang Li, Sumit Mishra, Chengwen Luo, Ying He, Jie Chen, Yi Pan
2022 J jnl
Runtime Assurance of Learning-Based Lane Changing Control for Autonomous Driving Vehicles.
J. Circuits Syst. Comput.
Qiang Wang, Guang Kou, Longquan Chen, Ying He, Weipeng Cao, Geguang Pu
2022 B conf
When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach.
IWQoS
Shen Zhuang, Ying He, F. Richard Yu, Chengxi Gao, Weike Pan, Zhong Ming
2021 — conf
A Blockchain-Enabled Federated Learning System with Edge Computing for Vehicular Networks.
GLOBECOM (Workshops)
Ying He, Ke Huang, Guangzheng Zhang, Jianqiang Li, Jianyong Chen, Victor C. M. Leung
2021 B conf
A Fast-adaptive Edge Resource Allocation Strategy for Dynamic Vehicular Networks.
ICNP
Ying He, Yuhang Wang, Qiuzhen Lin, Jianqiang Li, Victor C. M. Leung
2021 J jnl
Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach.
IEEE Internet Things J.
Ying He, Yuhang Wang, Chao Qiu, Qiuzhen Lin, Jianqiang Li, Zhong Ming
2021 — conf
Flexi-Compression: A Flexible Model Compression Method for Autonomous Driving.
DIVANet
Hantao Liu, Ying He, F. Richard Yu, Jeremy James
2021 J jnl
System Identification Based on Generalized Orthonormal Basis Function for Unmanned Helicopters: A Reinforcement Learning Approach.
IEEE Trans. Veh. Technol.
Zun Liu, Jianqiang Li, Cheng Wang, F. Richard Yu, Jie Chen, Ying He, Changyin Sun
2020 — conf
Improving Approximate Logic Neuron Model by Means of a Novel Learning Algorithm.
ICIC (1)
Jiajun Zhao, Minhui Dong, Cheng Tang, Junkai Ji, Ying He
2020 J jnl
Trust-Based Social Networks with Computing, Caching and Communications: A Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Sci. Eng.
Ying He, Chengchao Liang, F. Richard Yu, Zhu Han
2019 J jnl
Buffer-Aware Streaming in Small-Scale Wireless Networks: A Deep Reinforcement Learning Approach.
IEEE Trans. Veh. Technol.
Yashuang Guo, F. Richard Yu, Jianping An, Kai Yang, Ying He, Victor C. M. Leung
2019 J jnl
Security and Privacy of Smart Cities: A Survey, Research Issues and Challenges.
IEEE Commun. Surv. Tutorials
Mehdi Sookhak, Helen Tang, Ying He, F. Richard Yu
2019 J jnl
Trust management for secure cognitive radio vehicular ad hoc networks.
Ad Hoc Networks
Ying He, F. Richard Yu, Zhexiong Wei, Victor C. M. Leung
2018 J jnl
Enhancing Video Rate Adaptation With Mobile Edge Computing and Caching in Software-Defined Mobile Networks.
IEEE Trans. Wirel. Commun.
Chengchao Liang, Ying He, F. Richard Yu, Nan Zhao
2018 B conf
Integrated Computing, Caching, and Communication for Trust-Based Social Networks: A Big Data DRL Approach.
GLOBECOM
Ying He, Chengchao Liang, F. Richard Yu, Victor C. M. Leung
2018 J jnl
Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach.
IEEE Trans. Veh. Technol.
Ying He, Nan Zhao, Hongxi Yin
2018 J jnl
Integration of Networking, Caching, and Computing in Wireless Systems: A Survey, Some Research Issues, and Challenges.
IEEE Commun. Surv. Tutorials
Chen-meng Wang, Ying He, F. Richard Yu, Qianbin Chen, Lun Tang
2018 J jnl
Secure Social Networks in 5G Systems with Mobile Edge Computing, Caching, and Device-to-Device Communications.
IEEE Wirel. Commun.
Ying He, F. Richard Yu, Nan Zhao, Hongxi Yin
2018 J jnl
Securing Cognitive Radio Vehicular Ad Hoc Networks with Fog Computing.
Ad Hoc Sens. Wirel. Networks
Ying He, Zhexiong Wei, Guangzheng Du, Jian Li, Nan Zhao, Hongxi Yin
2018 J jnl
Virtualization for Distributed Ledger Technology (vDLT).
IEEE Access
Fei Richard Yu, Jianmin Liu, Ying He, Pengbo Si, Yanhua Zhang
2017 B conf
A Big Data Deep Reinforcement Learning Approach to Next Generation Green Wireless Networks.
GLOBECOM
Ying He, Zheng Zhang, Yanhua Zhang
2017 J jnl
A Survey on Compressed Sensing in Vehicular Infotainment Systems.
IEEE Commun. Surv. Tutorials
Jie Guo, Bin Song, Ying He, Fei Richard Yu, Mehdi Sookhak
2017 J jnl
Communication-Based Train Control System Performance Optimization Using Deep Reinforcement Learning.
IEEE Trans. Veh. Technol.
Li Zhu, Ying He, F. Richard Yu, Bin Ning, Tao Tang, Nan Zhao
2017 — conf
Deep Reinforcement Learning (DRL)-based Resource Management in Software-Defined and Virtualized Vehicular Ad Hoc Networks.
DIVANet
Ying He, F. Richard Yu, Nan Zhao, Hongxi Yin, Azzedine Boukerche
2017 J jnl
Deep-Reinforcement-Learning-Based Optimization for Cache-Enabled Opportunistic Interference Alignment Wireless Networks.
IEEE Trans. Veh. Technol.
Ying He, Zheng Zhang, F. Richard Yu, Nan Zhao, Hongxi Yin, Victor C. M. Leung, Yanhua Zhang
2017 — conf
Energy-efficient resource allocation in software-defined mobile networks with mobile edge computing and caching.
INFOCOM Workshops
Chengchao Liang, Ying He, F. Richard Yu, Nan Zhao
2017 J jnl
Enhancing QoE-Aware Wireless Edge Caching With Software-Defined Wireless Networks.
IEEE Trans. Wirel. Commun.
Chengchao Liang, Ying He, F. Richard Yu, Nan Zhao
2017 J jnl
Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing.
IEEE Veh. Technol. Mag.
Mehdi Sookhak, F. Richard Yu, Ying He, Hamid Talebian, Nader Sohrabi Safa, Nan Zhao, Muhammad Khurram Khan, Neeraj Kumar
2017 — conf
Optimization of cache-enabled opportunistic interference alignment wireless networks: A big data deep reinforcement learning approach.
ICC
Ying He, Chengchao Liang, F. Richard Yu, Nan Zhao, Hongxi Yin
2017 — conf
Resource Allocation in Software-Defined and Information-Centric Vehicular Networks with Mobile Edge Computing.
VTC Fall
Ying He, Chengchao Liang, Zheng Zhang, F. Richard Yu, Nan Zhao, Hongxi Yin, Yanhua Zhang
2017 J jnl
Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach.
IEEE Commun. Mag.
Ying He, F. Richard Yu, Nan Zhao, Victor C. M. Leung, Hongxi Yin
2017 — conf
Video Rate Adaptation and Traffic Engineering in Mobile Edge Computing and Caching-Enabled Wireless Networks.
VTC Fall
Chengchao Liang, Ying He, F. Richard Yu, Nan Zhao
2016 J jnl
Big Data Analytics in Mobile Cellular Networks.
IEEE Access
Ying He, Fei Richard Yu, Nan Zhao, Hongxi Yin, Haipeng Yao, Robert C. Qiu
2014 C conf
Spectrum-efficient topology management of asymmetric interference alignment networks.
ICCC
Xinyu Zhang, F. Richard Yu, Ying He, Nan Zhao
2013 — conf
Performance improvements of interference alignment with multiuser diversity in cognitive radio networks.
WCSP
Ying He, Hongxi Yin, F. Richard Yu, Nan Zhao