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Mingyang Jiang
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2020 – today
- 2024
- [j6]Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Jing Yang, Yeqiang Qian, Chunxiang Wang, Ming Yang:
Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-Making. IEEE Trans. Intell. Veh. 9(5): 4840-4844 (2024) - [i4]Mingyang Jiang, Yueyuan Li, Songan Zhang, Chunxiang Wang, Ming Yang:
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios. CoRR abs/2405.20579 (2024) - [i3]Yueyuan Li, Mingyang Jiang, Songan Zhang, Wei Yuan, Chunxiang Wang, Ming Yang:
End-to-end Driving in High-Interaction Traffic Scenarios with Reinforcement Learning. CoRR abs/2410.02253 (2024) - 2023
- [j5]Lin Chen, Xiaoyu Huang, Wei Jin
, Xinyu Wang, Gang Yang, Mingyang Jiang, Yi Huang, Jianming Tang:
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. Sensors 23(24): 9804 (2023) - [i2]Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Ming Yang:
Tactics2D: A Multi-agent Reinforcement Learning Environment for Driving Decision-making. CoRR abs/2311.11058 (2023) - 2021
- [j4]Xiaojing Fan, Xiye Wang, Mingyang Jiang
An Improved Stacked Autoencoder for Metabolomic Data Classification. Comput. Intell. Neurosci. 2021: 1051172:1-1051172:9 (2021)
2010 – 2019
- 2019
- [j3]Mingyang Jiang, Zhifeng Zhang, Jingqing Jiang, Qinghu Wang, Zhili Pei:
A collaborative filtering recommendation algorithm based on information theory and bi-clustering. Neural Comput. Appl. 31(12): 8279-8287 (2019) - [c8]Mingyang Jiang, Tianqi Zhao:
Vehicle Travel Time Estimation by Sparse Trajectories. COMPSAC (1) 2019: 433-442 - 2018
- [j2]Mingyang Jiang, Yanchun Liang, Xiaoyue Feng, Xiaojing Fan, Zhili Pei, Yu Xue, Renchu Guan
Text classification based on deep belief network and softmax regression. Neural Comput. Appl. 29(1): 61-70 (2018) - [c7]Mingyang Jiang, Xiaojing Fan, Zhili Pei, Zhifeng Zhang:
Research on text feature clustering based on improved parallel genetic algorithm. ICACI 2018: 235-238 - [c6]Shuang Qiu, Mingyang Jiang, Zhifeng Zhang, Yinan Lu, Zhili Pei:
Chinese News Text Classification of the Stacked Denoising Auto Encoder Based on Adaptive Learning Rate and Additional Momentum Item. ISNN 2018: 578-584 - [i1]Mingyang Jiang, Yiran Wu, Cewu Lu:
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation. CoRR abs/1807.00652 (2018) - 2017
- [j1]Qinghu Wang, Lisha Liu, Jingqing Jiang, Mingyang Jiang, Yinan Lu, Zhili Pei:
Feature selection method based on multiple centrifuge models. Clust. Comput. 20(2): 1425-1435 (2017) - [c5]Jia-Le Cui, Shuang Qiu, Mingyang Jiang, Zhi-Li Pei, Yinan Lu:
Text Classification Based on ReLU Activation Function of SAE Algorithm. ISNN (1) 2017: 44-50 - 2011
- [c4]Mingyang Jiang, Chunxiao Li, Zirui Deng, Jufu Feng, Liwei Wang:
Learning from error: A two-level combined model for image classification. ACPR 2011: 677-680 - [c3]Mingyang Jiang, Jufu Feng:
Robust low-rank subspace recovery and face image denoising for face recognition. ICIP 2011: 3033-3036 - 2010
- [c2]Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang:
Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach. ACCV (3) 2010: 213-224 - [c1]Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang:
Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified Segmentation Framework. ACCV (3) 2010: 343-354
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