I am currently a PhD candidate at Key Laboratory of Geographic Information Science, Ministry of Education, School of Geographic Sciences, East China Normal University, supervised by Prof. Min Liu. I received my Bachelor’s degree from Inner Mongolia Agricultural University in 2017 and my Master’s degree from School of Artificial Intelligence and Computer Science, Jiangnan University in 2020, supervised by Prof. Jun Sun. I have published more than 14 papers in cutting-edge international conferences and journals, including TGRS, JAG, etc. I have worked as a perception algorithm engineer at Leadmove, and have been a reviewer for top conferences and journals. My current research interest includes autonomous driving and intelligent interpretation, focusing on multimodal visual segmentation and detection.

🔥 News

  • 2025.05:  🎉🎉 One paper is accepted by ASOC.
  • 2025.05:  🎉🎉 One paper is accepted by TGRS.
  • 2025.02:  🎉🎉 One paper is accepted by JAG.
  • 2024.07:  🎉🎉 One paper is accepted by TIM.
  • 2024.05:  🎉🎉 One paper is accepted by Frontiers in Marine Science.
  • 2023.09:  🎉🎉 One paper is accepted by Ocean & Coastal Management.

📝 Selected Publications (* Equal Contribution, # Corresponding Author)

A scalable monocular 3D detector with Superpixel Feature Pyramid Network. Dongliang Ma, Fang Zhao, Ye Li#, Xin Qu, Xin Jiang, Hao Wu, Xi Chen, Min Liu#. Applied Soft Computing 2025.

Parameter-Efficient Fine-Tuning with Frequency Adapter for Enhanced Sea-Land Segmentation. Dongliang Ma, Likai Zhu, Fang Zhao, Yichen Xie, Ye Li#, Min Liu#. IEEE Transactions on Geoscience and Remote Sensing 2025.

Deep learning reveals hotspots of global oceanic oxygen changes from 2003 to 2020. Dongliang Ma*, Fang Zhao*, Likai Zhu, Xiaofei Li, Jine Wei, Xi Chen, Lijun Hou, Ye Li#, Min Liu#. International Journal of Applied Earth Observation and Geoinformation 2025.

ParkScape: A large-scale fisheye dataset for parking slot detection and a benchmark method. Li Fu*, Dongliang Ma*, Xin Qu, Xin Jiang, Lie Shan, Dan Zeng#. IEEE Transactions on Instrumentation and Measurement 2024.

Semi-supervised learning advances species recognition for aquatic biodiversity monitoring. Dongliang Ma, Jine Wei, Likai Zhu, Fang Zhao, Hao Wu, Xi Chen, Ye Li#, Min Liu#. Frontiers in Marine Science 2024.

KD loss: Enhancing discriminability of features with kernel trick for object detection in VHR remote sensing images. Xi Chen#, Liyue Li, Zhihong Li, Min Liu, Qingli Li, Honggang Qi, Dongliang Ma, Ying Wen, Guitao Cao, Philip LH Yu. Engineering Applications of Artificial Intelligence 2024.

MLDet: Towards efficient and accurate deep learning method for Marine Litter Detection. Dongliang Ma, Jine Wei, Ye Li#, Fang Zhao, Xi Chen, Yuchao Hu, Shanshan Yu, Tianhao He, Ruihe Jin, Zhaozhao Li, Min Liu#. Ocean & Coastal Management 2023.

MIANet: Multi-level temporal information aggregation in mixed-periodicity time series forecasting tasks. Sheng Wang, Xi Chen#, Dongliang Ma, Chen Wang, Yong Wang, Honggang Qi, Gongjian Zhou, Qingli Li, Min Liu. Engineering Applications of Artificial Intelligence 2023.

Depth dynamic center difference convolutions for monocular 3D object detection. Xinyu Wu, Dongliang Ma, Xin Qu, Xin Jiang, Dan Zeng#. Neurocomputing 2023.

Coupled Global–Local object detection for large VHR aerial images. Xi Chen#, Chaojie Wang, Zhihong Li, Min Liu, Qingli Li, Honggang Qi, Dongliang Ma, Zhiqiang Li, Yong Wang. Knowledge-Based Systems 2023.

Ssrfd: single shot real-time face detector. Hao Wu, Dongliang Ma, Zhongjie Mao, Jun Sun#. Applied Intelligence 2022.

Learning shared subspace regularization with linear discriminant analysis for multi-label action recognition. Jianxin Li, Minjie Liu, Dongliang Ma, Jinyu Huang, Min Ke, Tao Zhang#. The Journal of Supercomputing 2020.

A light-weight context-aware self-attention model for skin lesion segmentation. Dongliang Ma, Hao Wu, Jun Sun, Chunjing Yu, Li Liu, Jun Sun#. PRICAI 2019.

Estimating Difficulty Score of Visual Search in Images for Semi-supervised Object Detection. Dongliang Ma, Haipeng Zhang, Hao Wu, Tao Zhang, Jun Sun#. PKAW 2019.

🎖 Honors and Awards

  • 2019.06 Freesound Audio Tagging 2019 (Kaggle Gold Medal 1% 2/880).
  • 2018.12 Guangdong Industrial Intelligent Manufacturing Big Data Innovation Competition (1% 7/2972).
  • 2017.12 China College Student Service Outsourcing Competition - Hippocampus Segmentation (Second Prize).
  • 2017.07 Artificial Intelligence - Assisted Diabetes Risk Prediction (3% 75/2522).
  • 2017.04 The 12th Inner Mongolia Autonomous Region College Student Programming Competition (First Prize).

📖 Educations and Working

  • 2021.09 - 2025.06, PhD, School of Geographic Sciences, East China Normal University, Shanghai.
  • 2020.06 - 2021.09, Algorithm Engineer (AI Pioneers), Leadmove Technology Co. Ltd, Shanghai.
  • 2017.09 - 2020.06, MEng, School of Artificial Intelligence and Computer Sciencem Jiangnan University, Wuxi.
  • 2013.09 - 2017.07, BS, College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot.