Lixing Chen

According to our database, Lixing Chen authored at least 54 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multiple synchro-tuning chirplet transform.

Lingji Xu, Lixing Chen, Zixin Wang, Weihua Jiang, Zhenglin Li

Digit. Signal Process., January, 2024

What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception.

Wanfang Su, Lixing Chen, Yang Bai, Xi Lin, Gaolei Li, Zhe Qu, Pan Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Interpretable prediction of 3-year all-cause mortality in patients with chronic heart failure based on machine learning.

Chenggong Xu, Hongxia Li, Jianping Yang, Yunzhu Peng, Hongyan Cai, Jing Zhou, Wenyi Gu, Lixing Chen

BMC Medical Informatics Decis. Mak., December, 2023

Power of Redundancy: Surplus Client Scheduling for Federated Learning Against User Uncertainties.

Youqi Li, Fan Li, Lixing Chen, Liehuang Zhu, Pan Zhou, Yu Wang

IEEE Trans. Mob. Comput., September, 2023

Near-Optimal and Collaborative Service Caching in Mobile Edge Clouds.

Zichuan Xu, Lizhen Zhou, Sid Chi-Kin Chau, Weifa Liang, Haipeng Dai, Lixing Chen, Wenzheng Xu, Qiufen Xia, Pan Zhou

IEEE Trans. Mob. Comput., July, 2023

Automated Customization of On-Device Inference for Quality-of-Experience Enhancement.

Yang Bai, Lixing Chen, Shaolei Ren, Jie Xu

IEEE Trans. Computers, May, 2023

Multicore Federated Learning for Mobile-Edge Computing Platforms.

Yang Bai, Lixing Chen, Jianhua Li, Jun Wu, Pan Zhou, Zichuan Xu, Jie Xu

IEEE Internet Things J., April, 2023

Enhancing time-frequency resolution via deep-learning framework.

Zixin Wang, Lixing Chen, Peng Xiao, Lingji Xu, Zhenglin Li

IET Signal Process., April, 2023

NeuE: Automated Neural Network Ensembles for Edge Intelligence.

Yang Bai, Lixing Chen, Jie Xu

IEEE Trans. Emerg. Top. Comput., 2023

Filling the Information Gap between Video and Query for Language-Driven Moment Retrieval.

Daizong Liu, Xiaoye Qu, Jianfeng Dong, Guoshun Nan, Pan Zhou, Zichuan Xu, Lixing Chen, He Yan, Yu Cheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Combining Synchrosqueezing Transform and Encoder-Decoder Classification Network for Modulation Recognition of Underwater Acoustic Communication Signals.

Zixin Wang, Lingji Xu, Lixing Chen, Weihua Jiang, Fanchang Zeng, Xinzhe Chen

Proceedings of the IEEE International Conference on Signal Processing, 2023

Swarm Reinforcement Learning for Collaborative Content Caching in Information Centric Networks.

Jiajin Yang, Lixing Chen, Junhua Tang, Jianhua Li, Wu Yang

Proceedings of the IEEE International Conference on Communications, 2023

Hierarchical Swarm Learning for Edge-Assisted Collaborative Vehicle Trajectory Prediction.

Xuewei Hou, Lixing Chen, Junhua Tang, Jianhua Li, Wu Yang

Proceedings of the IEEE International Conference on Communications, 2023

How to Prevent the Poor Performance Clients for Personalized Federated Learning?

Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, Lixing Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Ensuring Minority Group Rights in Social IoT with Fairness-aware Federated Graph Node Classification.

Qinghua Mao, Xi Lin, Gaolei Li, Lixing Chen, Yuchen Liu, Yuxin Qi, Jianhua Li

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks.

Jie Xu, Heqiang Wang, Lixing Chen

IEEE Trans. Wirel. Commun., 2022

Context-Aware Online Client Selection for Hierarchical Federated Learning.

Zhe Qu, Rui Duan, Lixing Chen, Jie Xu, Zhuo Lu, Yao Liu

IEEE Trans. Parallel Distributed Syst., 2022

Automated Ensemble for Deep Learning Inference on Edge Computing Platforms.

Yang Bai, Lixing Chen, Mohamed Abdel-Mottaleb, Jie Xu

IEEE Internet Things J., 2022

Hybrid intrusion detection system based on Dempster-Shafer evidence theory.

Weicheng Qiu, Yinghua Ma, Xiuzhen Chen, Haiyang Yu, Lixing Chen

Comput. Secur., 2022

Action-Manipulation Attack and Defense to X-Armed Bandits.

Zhi Luo, Youqi Li, Lixing Chen, Zichuan Xu, Pan Zhou

Proceedings of the IEEE International Conference on Trust, 2022

Data Poisoning Attack to X-armed Bandits.

Zhi Luo, Youqi Li, Lixing Chen, Zichuan Xu, Pan Zhou

Proceedings of the IEEE International Conference on Trust, 2022

Multi-Agent Learning Automata for Online Adaptive Control of Large-Scale Traffic Signal Systems.

Xuewei Hou, Lixing Chen, Junhua Tang, Jianhua Li

Proceedings of the IEEE Global Communications Conference, 2022

2021

Collaborative Service Placement for Edge Computing in Dense Small Cell Networks.

Lixing Chen, Cong Shen, Pan Zhou, Jie Xu

IEEE Trans. Mob. Comput., 2021

Trustworthy and Context-Aware Distributed Online Learning With Autoscaling for Content Caching in Collaborative Mobile Edge Computing.

Pan Zhou, Shimin Gong, Zichuan Xu, Lixing Chen, Yulai Xie, Changkun Jiang, Xiaofeng Ding

IEEE Trans. Cogn. Commun. Netw., 2021

Seek Common While Shelving Differences: Orchestrating Deep Neural Networks for Edge Service Provisioning.

Lixing Chen, Jie Xu

IEEE J. Sel. Areas Commun., 2021

Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement.

Yang Bai, Lixing Chen, Shaolei Ren, Jie Xu

CoRR, 2021

Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning.

Letian Zhang, Lixing Chen, Jie Xu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Adaptive Deep Neural Network Ensemble for Inference-as-a-Service on Edge Computing Platforms.

Yang Bai, Lixing Chen, Letian Zhang, Mohamed Abdel-Mottaleb, Jie Xu

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

2020

Risk-Aware Edge Computation Offloading Using Bayesian Stackelberg Game.

Yang Bai, Lixing Chen, Linqi Song, Jie Xu

IEEE Trans. Netw. Serv. Manag., 2020

Collaborative Content Placement Among Wireless Edge Caching Stations With Time-to-Live Cache.

Lixing Chen, Linqi Song, Jacob Chakareski, Jie Xu

IEEE Trans. Multim., 2020

Learning Optimal Sniffer Channel Assignment for Small Cell Cognitive Radio Networks.

Lixing Chen, Zhuo Lu, Pan Zhou, Jie Xu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

Budget-Constrained Edge Service Provisioning With Demand Estimation via Bandit Learning.

Lixing Chen, Jie Xu

IEEE J. Sel. Areas Commun., 2019

Task Replication for Vehicular Cloud: Contextual Combinatorial Bandit with Delayed Feedback.

Lixing Chen, Jie Xu

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning.

Chengshuai Shi, Lixing Chen, Cong Shen, Linqi Song, Jie Xu

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading.

Yang Bai, Lixing Chen, Linqi Song, Jie Xu

Proceedings of the 6th ACM Workshop on Moving Target Defense, 2019

2018

Spatio-Temporal Edge Service Placement: A Bandit Learning Approach.

Lixing Chen, Jie Xu, Shaolei Ren, Pan Zhou

IEEE Trans. Wirel. Commun., 2018

Designing Security-Aware Incentives for Computation Offloading via Device-to-Device Communication.

Jie Xu, Lixing Chen, Kun Liu, Cong Shen

IEEE Trans. Wirel. Commun., 2018

Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks.

Lixing Chen, Sheng Zhou, Jie Xu

IEEE/ACM Trans. Netw., 2018

Adaptive Fog Configuration for the Industrial Internet of Things.

Lixing Chen, Pan Zhou, Liang Gao, Jie Xu

IEEE Trans. Ind. Informatics, 2018

Task Offloading and Replication for Vehicular Cloud Computing: A Multi-Armed Bandit Approach.

Lixing Chen, Jie Xu

CoRR, 2018

Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward.

Lixing Chen, Jie Xu, Zhuo Lu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks.

Jie Xu, Lixing Chen, Pan Zhou

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing.

Hang Wu, Lixing Chen, Cong Shen, Wujie Wen, Jie Xu

Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017

Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing.

Jie Xu, Lixing Chen, Shaolei Ren

IEEE Trans. Cogn. Commun. Netw., 2017

Collaborative Service Caching for Edge Computing in Dense Small Cell Networks.

Lixing Chen, Jie Xu

CoRR, 2017

E2M2: Energy Efficient Mobility Management in Dense Small Cells with Mobile Edge Computing.

Jie Xu, Yuxuan Sun, Lixing Chen, Sheng Zhou

CoRR, 2017

Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing.

Jie Xu, Hang Wu, Lixing Chen, Cong Shen

CoRR, 2017

E²M²: Energy efficient mobility management in dense small cells with mobile edge computing.

Jie Xu, Yuxuan Sun, Lixing Chen, Sheng Zhou

Proceedings of the IEEE International Conference on Communications, 2017

Energy efficient mobile edge computing in dense cellular networks.

Lixing Chen, Sheng Zhou, Jie Xu

Proceedings of the IEEE International Conference on Communications, 2017

Computation Peer Offloading in Mobile Edge Computing with Energy Budgets.

Lixing Chen, Jie Xu, Sheng Zhou

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Socially trusted collaborative edge computing in ultra dense networks.

Lixing Chen, Jie Xu

Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017

2016

Less is More: Participation Incentives in D2D-enhanced Mobile Edge Computing under Infectious DDoS Attacks.

Jie Xu, Lixing Chen, Kun Liu, Cong Shen

CoRR, 2016

2015

FIM-Based Pairwise Selection for Active Learning on Imbalanced Datasets.

Lixing Chen, Xuemin Tian, Lianfang Cai

Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014

Support Vector Regression Based on Grid-Search Method for Short-Term Wind Power Forecasting.

Hong Zhang, Lixing Chen, Yong Qu, Guo Zhao, Zhenwei Guo

J. Appl. Math., 2014