Mingyang Jiang

According to our database, Mingyang Jiang authored at least 26 papers between 2010 and 2025.

Collaborative distances:

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

2025

STAR-RIS-Empowered Heterogeneous Federated Edge Learning With Flexible Aggregation.

Heju Li, Rui Wang, Mingyang Jiang, Jianquan Liu

IEEE Internet Things J., July, 2025

MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation.

Xueqing Peng, Lingfei Qian, Yan Wang, Ruoyu Xiang, Yueru He, Yang Ren, Mingyang Jiang, Jeff Zhao, Huan He, Yi Han, Yun Feng, Yuechen Jiang, Yupeng Cao, Haohang Li, Yangyang Yu, Xiaoyu Wang, Penglei Gao, Shengyuan Lin, Keyi Wang, Shanshan Yang, Yilun Zhao, Zhiwei Liu, Peng Lu, Jerry Huang, Suyuchen Wang, Triantafillos Papadopoulos, Polydoros Giannouris, Efstathia Soufleri, Nuo Chen, Guojun Xiong, Zhiyang Deng, Yijia Zhao, Mingquan Lin, Meikang Qiu, Kaleb E. Smith, Arman Cohan, Xiao-Yang Liu, Jimin Huang, Alejandro Lopez-Lira, Xi Chen, Junichi Tsujii, Jian-Yun Nie, Sophia Ananiadou, Qianqian Xie

CoRR, June, 2025

HOPE: A Reinforcement Learning-Based Hybrid Policy Path Planner for Diverse Parking Scenarios.

Mingyang Jiang, Yueyuan Li, Songan Zhang, Siyuan Chen, Chunxiang Wang, Ming Yang

IEEE Trans. Intell. Transp. Syst., May, 2025

ROAD: Responsibility-Oriented Reward Design for Reinforcement Learning in Autonomous Driving.

Yongming Chen, Miner Chen, Liewen Liao, Mingyang Jiang, Xiang Zuo, Hengrui Zhang, Yuchen Xi, Songan Zhang

CoRR, May, 2025

Embodied Escaping: End-to-End Reinforcement Learning for Robot Navigation in Narrow Environment.

Han Zheng, Jiale Zhang, Mingyang Jiang, Peiyuan Liu, Danni Liu, Tong Qin, Ming Yang

CoRR, March, 2025

RL-OGM-Parking: Lidar OGM-Based Hybrid Reinforcement Learning Planner for Autonomous Parking.

Zhitao Wang, Zhe Chen, Mingyang Jiang, Tong Qin, Ming Yang

CoRR, February, 2025

An Opportunistic Positioning Algorithm for Internet of Vehicles Under Intermittent and GNSS-Degraded Environment.

Wengang Li, Mohan Liu, Yichen Wu, Jincheng Shi, Hongyu Zhu, Mingyang Jiang, Fei Teng

IEEE Internet Things J., 2025

2024

Deep learning-based metabolomics data study of prostate cancer.

Liqiang Sun, Xiaojing Fan, Yunwei Zhao, Qi Zhang, Mingyang Jiang

BMC Bioinform., December, 2024

Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-Making.

Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Jing Yang, Yeqiang Qian, Chunxiang Wang, Ming Yang

IEEE Trans. Intell. Veh., May, 2024

End-to-end Driving in High-Interaction Traffic Scenarios with Reinforcement Learning.

Yueyuan Li, Mingyang Jiang, Songan Zhang, Wei Yuan, Chunxiang Wang, Ming Yang

CoRR, 2024

HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios.

Mingyang Jiang, Yueyuan Li, Songan Zhang, Chunxiang Wang, Ming Yang

CoRR, 2024

2023

Analyzing Peak-to-Average Power Ratio Characteristics in Multi-Channel Intensity Modulation and Direct Detection Flexible Transceivers Deploying Inverse Fast Fourier Transform/Fast Fourier Transform-Based Processing.

Lin Chen, Xiaoyu Huang, Wei Jin, Xinyu Wang, Gang Yang, Mingyang Jiang, Yi Huang, Jianming Tang

Sensors, December, 2023

Tactics2D: A Multi-agent Reinforcement Learning Environment for Driving Decision-making.

Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Ming Yang

CoRR, 2023

2021

An Improved Stacked Autoencoder for Metabolomic Data Classification.

Xiaojing Fan, Xiye Wang, Mingyang Jiang, Zhili Pei, Shicheng Qiao

Comput. Intell. Neurosci., 2021

2019

A collaborative filtering recommendation algorithm based on information theory and bi-clustering.

Mingyang Jiang, Zhifeng Zhang, Jingqing Jiang, Qinghu Wang, Zhili Pei

Neural Comput. Appl., 2019

Vehicle Travel Time Estimation by Sparse Trajectories.

Mingyang Jiang, Tianqi Zhao

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018

Text classification based on deep belief network and softmax regression.

Mingyang Jiang, Yanchun Liang, Xiaoyue Feng, Xiaojing Fan, Zhili Pei, Yu Xue, Renchu Guan

Neural Comput. Appl., 2018

PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation.

Mingyang Jiang, Yiran Wu, Cewu Lu

CoRR, 2018

Chinese News Text Classification of the Stacked Denoising Auto Encoder Based on Adaptive Learning Rate and Additional Momentum Item.

Shuang Qiu, Mingyang Jiang, Zhifeng Zhang, Yinan Lu, Zhili Pei

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Research on text feature clustering based on improved parallel genetic algorithm.

Mingyang Jiang, Xiaojing Fan, Zhili Pei, Zhifeng Zhang

Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017

Feature selection method based on multiple centrifuge models.

Qinghu Wang, Lisha Liu, Jingqing Jiang, Mingyang Jiang, Yinan Lu, Zhili Pei

Clust. Comput., 2017

Text Classification Based on ReLU Activation Function of SAE Algorithm.

Jia-Le Cui, Shuang Qiu, Mingyang Jiang, Zhi-Li Pei, Yinan Lu

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2011

Robust low-rank subspace recovery and face image denoising for face recognition.

Mingyang Jiang, Jufu Feng

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Learning from error: A two-level combined model for image classification.

Mingyang Jiang, Chunxiao Li, Zirui Deng, Jufu Feng, Liwei Wang

Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010

Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified Segmentation Framework.

Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang

Proceedings of the Computer Vision - ACCV 2010, 2010

Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach.

Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang

Proceedings of the Computer Vision - ACCV 2010, 2010