Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach. - Mingyang Jiang; Chunxiao Li 008; Jufu Feng; Liwei Wang 001 (ACCV (3), 2010)

Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified Segmentation Framework. - Mingyang Jiang; Chunxiao Li 008; Jufu Feng; Liwei Wang 001 (ACCV (3), 2010)

Learning from error: A two-level combined model for image classification. - Mingyang Jiang; Chunxiao Li 008; Zirui Deng; Jufu Feng; Liwei Wang 001 (ACPR, 2011)

Robust low-rank subspace recovery and face image denoising for face recognition. - Mingyang Jiang; Jufu Feng (ICIP, 2011)

Text Classification Based on ReLU Activation Function of SAE Algorithm. - Jia-Le Cui; Shuang Qiu; Mingyang Jiang; Zhi-Li Pei; Yinan Lu (ISNN (1), 2017)

Feature selection method based on multiple centrifuge models. - Qinghu Wang; Lisha Liu; Jingqing Jiang; Mingyang Jiang; Yinan Lu; Zhili Pei (Clust. Comput., 2017)

Research on text feature clustering based on improved parallel genetic algorithm. - Mingyang Jiang; Xiaojing Fan; Zhili Pei; Zhifeng Zhang (ICACI, 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 (ISNN, 2018)

PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation. - Mingyang Jiang; Yiran Wu; Cewu Lu (CoRR, 2018)

Text classification based on deep belief network and softmax regression. - Mingyang Jiang; Yanchun Liang 001; Xiaoyue Feng; Xiaojing Fan; Zhili Pei; Yu Xue 003; Renchu Guan (Neural Comput. Appl., 2018)

Vehicle Travel Time Estimation by Sparse Trajectories. - Mingyang Jiang; Tianqi Zhao (COMPSAC (1), 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)

An Improved Stacked Autoencoder for Metabolomic Data Classification. - Xiaojing Fan; Xiye Wang; Mingyang Jiang; Zhili Pei; Shicheng Qiao (Comput. Intell. Neurosci., 2021)

Tactics2D: A Multi-agent Reinforcement Learning Environment for Driving Decision-making. - Yueyuan Li; Songan Zhang; Mingyang Jiang; Xingyuan Chen; Ming Yang (CoRR, 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 001 (Sensors, 2023)

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)

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)

Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-Making. - Yueyuan Li; Songan Zhang; Mingyang Jiang; Xingyuan Chen; Jing Yang 044; Yeqiang Qian; Chunxiang Wang; Ming Yang 002 (IEEE Trans. Intell. Veh., 2024)

Deep learning-based metabolomics data study of prostate cancer. - Liqiang Sun; Xiaojing Fan; Yunwei Zhao; Qi Zhang; Mingyang Jiang (BMC Bioinform., 2024)

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)

RL-OGM-Parking: Lidar OGM-Based Hybrid Reinforcement Learning Planner for Autonomous Parking. - Zhitao Wang; Zhe Chen; Mingyang Jiang; Tong Qin 001; Ming Yang 002 (CoRR, 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 001; Ming Yang 002 (CoRR, 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, 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 002 (IEEE Trans. Intell. Transp. Syst., 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; et al. (CoRR, 2025)

STAR-RIS-Empowered Heterogeneous Federated Edge Learning With Flexible Aggregation. - Heju Li; Rui Wang 001; Mingyang Jiang; Jianquan Liu (IEEE Internet Things J., 2025)