Chao Ma

According to our database, Chao Ma authored at least 42 papers between 2008 and 2024.

Collaborative distances:

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

2024

Representative Kernels-Based CNN for Faster Transmission in Federated Learning.

Wei Li, Zichen Shen, Xiulong Liu, Mingfeng Wang, Chao Ma, Chuntao Ding, Jiannong Cao

IEEE Trans. Mob. Comput., December, 2024

Joint Optimization of Pricing, Dispatching and Repositioning in Ride-Hailing With Multiple Models Interplayed Reinforcement Learning.

Zhongyun Zhang, Lei Yang, Jiajun Yao, Chao Ma, Jianguo Wang

IEEE Trans. Knowl. Data Eng., December, 2024

DLS-GAN: Generative Adversarial Nets for Defect Location Sensitive Data Augmentation.

Wei Li, Chengchun Gu, Jinlin Chen, Chao Ma, Xiaowu Zhang, Bin Chen, Shaohua Wan

IEEE Trans Autom. Sci. Eng., October, 2024

Robust Frame-Level Detection for Deepfake Videos With Lightweight Bayesian Inference Weighting.

Linjiang Zhou, Chao Ma, Zepeng Wang, Yixuan Zhang, Xiaochuan Shi, Libing Wu

IEEE Internet Things J., April, 2024

Rethinking the Principle of Gradient Smooth Methods in Model Explanation.

Linjiang Zhou, Chao Ma, Zepeng Wang, Xiaochuan Shi

CoRR, 2024

E²CFD: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model.

Zepeng Wang, Chao Ma, Linjiang Zhou, Libing Wu, Lei Yang, Xiaochuan Shi, Guojun Peng

CoRR, 2024

Axiomatization of Gradient Smoothing in Neural Networks.

Linjiang Zhou, Xiaochuan Shi, Chao Ma, Zepeng Wang

CoRR, 2024

Dynamic Splitting of Diffusion Models for Multivariate Time Series Anomaly Detection in a JointCloud Environment.

Lanlan Chen, Xiaochuan Shi, Linjiang Zhou, Yilei Wang, Chao Ma, Weiping Zhu

Proceedings of the Knowledge Science, Engineering and Management, 2024

ProDiffAD: Progressively Distilled Diffusion Models for Multivariate Time Series Anomaly Detection in JointCloud Environment.

Fuqiang Tian, Xiaochuan Shi, Linjiang Zhou, Lanlan Chen, Chao Ma, Weiping Zhu

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

IFL-GAN: Improved Federated Learning Generative Adversarial Network With Maximum Mean Discrepancy Model Aggregation.

Wei Li, Jinlin Chen, Zhenyu Wang, Zhidong Shen, Chao Ma, Xiaohui Cui

IEEE Trans. Neural Networks Learn. Syst., December, 2023

EID-GAN: Generative Adversarial Nets for Extremely Imbalanced Data Augmentation.

Wei Li, Jinlin Chen, Jiannong Cao, Chao Ma, Jia Wang, Xiaohui Cui, Ping Chen

IEEE Trans. Ind. Informatics, March, 2023

Efficient Early Warning System in Identifying Enset Bacterial Wilt Disease using Transfer Learning.

Bete Aberra Fulle, Chao Ma, Xiaochuan Shi, Weiping Zhu, Zerihun Yemataw, Ephrem Assefa

Proceedings of the International Joint Conference on Neural Networks, 2023

CCPO: Conservatively Constrained Policy Optimization Using State Augmentation.

Zepeng Wang, Xiaochuan Shi, Chao Ma, Libing Wu, Jia Wu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

G-VCFL: Grouped Verifiable Chained Privacy-Preserving Federated Learning.

Zhuangzhuang Zhang, Libing Wu, Debiao He, Qian Wang, Dan Wu, Xiaochuan Shi, Chao Ma

IEEE Trans. Netw. Serv. Manag., December, 2022

Meta-learning based spatial-temporal graph attention network for traffic signal control.

Min Wang, Libing Wu, Man Li, Dan Wu, Xiaochuan Shi, Chao Ma

Knowl. Based Syst., 2022

An agnostic and efficient approach to identifying features from execution traces.

Chun-Tung Li, Jiannong Cao, Chao Ma, Jiaxing Shen, Ka Ho Wong

Knowl. Based Syst., 2022

MPTO-MT: A multi-period vehicular task offloading method in 5G HetNets.

Rui Zhang, Libing Wu, Shuqin Cao, Neal N. Xiong, Jianxin Li, Dan Wu, Chao Ma

J. Syst. Archit., 2022

A mobile edge computing-based applications execution framework for Internet of Vehicles.

Libing Wu, Rui Zhang, Qingan Li, Chao Ma, Xiaochuan Shi

Frontiers Comput. Sci., 2022

Analytic Hierarchy Process Based Compatibility Measurement for RFID Protocols.

Weiping Zhu, Changyu Huang, Chao Ma

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Multi-timescale History Modeling for Temporal Knowledge Graph Completion.

Chen Chen Peng, Xiaochuan Shi, Rongwei Yu, Chao Ma, Libing Wu, Dian Zhang

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Urban Traffic Signal Control with Reinforcement Learning from Demonstration Data.

Min Wang, Libing Wu, Jianxin Li, Dan Wu, Chao Ma

Proceedings of the International Joint Conference on Neural Networks, 2022

Points2Shapelets: A Salience-Guided Shapelets Selection Approach to Time Series Classification.

Guanxi Feng, Chao Ma, Linjiang Zhou, Libing Wu, Jingsheng Zhang, Xiaochuan Shi

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Tackling mode collapse in multi-generator GANs with orthogonal vectors.

Wei Li, Li Fan, Zhenyu Wang, Chao Ma, Xiaohui Cui

Pattern Recognit., 2021

Salience-CAM: Visual Explanations from Convolutional Neural Networks via Salience Score.

Linjiang Zhou, Chao Ma, Xiaochuan Shi, Dian Zhang, Wei Li, Libing Wu

Proceedings of the International Joint Conference on Neural Networks, 2021

DEN-DQL: Quick Convergent Deep Q-Learning with Double Exploration Networks for News Recommendation.

Zhanghan Song, Dian Zhang, Xiaochuan Shi, Wei Li, Chao Ma, Libing Wu

Proceedings of the International Joint Conference on Neural Networks, 2021

TSA-GAN: A Robust Generative Adversarial Networks for Time Series Augmentation.

Zheng Li, Chao Ma, Xiaochuan Shi, Dian Zhang, Wei Li, Libing Wu

Proceedings of the International Joint Conference on Neural Networks, 2021

BRNN-GAN: Generative Adversarial Networks with Bi-directional Recurrent Neural Networks for Multivariate Time Series Imputation.

Zejun Wu, Chao Ma, Xiaochuan Shi, Libing Wu, Dian Zhang, Yutian Tang, Milos Stojmenovic

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

Everyone in SDN Contributes: Fault Localization via Well-Designed Rules.

Zhijun Hu, Libing Wu, Jianxin Li, Chao Ma, Xiaochuan Shi

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2020

Edge4TSC: Binary Distribution Tree-Enabled Time Series Classification in Edge Environment.

Chao Ma, Xiaochuan Shi, Wei Li, Weiping Zhu

Sensors, 2020

Sketch-then-Edit Generative Adversarial Network.

Wei Li, Linchuan Xu, Zhixuan Liang, Senzhang Wang, Jiannong Cao, Chao Ma, Xiaohui Cui

Knowl. Based Syst., 2020

2019

An Approach to Time Series Classification Using Binary Distribution Tree.

Chao Ma, Xiaochuan Shi, Weiping Zhu, Wei Li, Xiaohui Cui, Hao Gui

Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019

2018

A Framework for Hybrid Location Prediction via Decision Tree Classification.

Chao Ma, Shaohua Wan, Bo Han, Hao Gui

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

2016

An Architecture for Healthcare Big Data Management and Analysis.

Hao Gui, Rong Zheng, Chao Ma, Hao Fan, Liya Xu

Proceedings of the Health Information Science - 5th International Conference, 2016

2015

A Data Collection and Analysis System for Mobile Group Marketing.

Weiran Chen, Yipeng Pei, Xufang Wang, Chao Ma, Zhibo Wang, Weiping Zhu

Proceedings of the International Conference on Cloud Computing and Big Data, 2015

An Approach to Social Relationship Ranking on Internet-Based Social Platforms by Tempo-spatial Data Mining Using Location Prediction Technique.

Chao Ma, Yinda Wang, Haowen Liu, Hao Gui, Weiping Zhu, Xiaochuan Shi, Xuhui Li

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014

Effective social relationship measurement based on user trajectory analysis.

Chao Ma, Jiannong Cao, Lei Yang, Jun Ma, Yanxiang He

J. Ambient Intell. Humaniz. Comput., 2014

Complex data collection in large-scale RFID systems.

Weiping Zhu, Xiaohui Cui, Cheng Hu, Chao Ma

Proceedings of the International Conference on Smart Computing, 2014

2009

An approach for matching communication patterns in parallel applications.

Chao Ma, Yong Meng Teo, Verdi March, Naixue Xiong, I. R. Pop, Yanxiang He, Simon See

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

Implementation of Rate Control in Distributed Wireless Multicast by Neural Network Prediction.

Naixue Xiong, Laurence Tianruo Yang, Yuanyuan Zeng, Chao Ma, Jong Hyuk Park

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

VFT: An Ontology-Based Tool for Visualization and Formalization of Web Service Composition.

Chao Ma, Yanxiang He, Naixue Xiong, Laurence Tianruo Yang

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

A Fast H.264 Spatial Downscaling Transcoder for Wireless Communication.

Min Li, Naixue Xiong, Chao Ma

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008

MPACP: An Approach for Automatic Matching of Parallel Application Communication Patterns.

Chao Ma, Yanxiang He, Naixue Xiong

Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008