Haotian Ma

According to our database, Haotian Ma authored at least 24 papers between 2017 and 2025.

Collaborative distances:

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

2025

Enhanced YOLOv8 for efficient identification of salix cheilophila during stubble period.

Haotian Ma, Zhigang Liu, Tianyou Song, Zhifei Zhao, Chenghui Pei, Shuhan Wang

Signal Image Video Process., August, 2025

A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of Health.

Song Wang, Yishu Wei, Haotian Ma, Max Lovitt, Kelly Deng, Yuan Meng, Zihan Xu, Jingze Zhang, Yunyu Xiao, Ying Ding, Xuhai Xu, Joydeep Ghosh, Yifan Peng

CoRR, August, 2025

SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-Tuning.

Siyi Wu, Leyi Zhao, Haotian Ma, Xinyuan Song

CoRR, March, 2025

Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review.

Zihan Xu, Haotian Ma, Yihao Ding, Gongbo Zhang, Chunhua Weng, Yifan Peng

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Suicide Risk Assessment on Social Media with Semi-Supervised Learning.

Max Lovitt, Haotian Ma, Song Wang, Yifan Peng

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Transferable Black-Box Attack Against Face Recognition With Spatial Mutable Adversarial Patch.

Haotian Ma, Ke Xu, Xinghao Jiang, Zeyu Zhao, Tanfeng Sun

IEEE Trans. Inf. Forensics Secur., 2023

A Distribution Network State Estimation Method With Non-Gaussian Noise Based on Parallel Particle Filter.

Haotian Ma, Wanxing Sheng, Keyan Liu

IEEE Access, 2023

GLogS: Interactive Graph Pattern Matching Query At Large Scale.

Longbin Lai, Yufan Yang, Zhibin Wang, Yuxuan Liu, Haotian Ma, Sijie Shen, Bingqing Lyu, Xiaoli Zhou, Wenyuan Yu, Zhengping Qian, Chen Tian, Sheng Zhong, Yeh-Ching Chung, Jingren Zhou

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Voltage Estimation Method for Distribution Network Based on Wiener Filter.

Haotian Ma, Wanxing Sheng, Keyan Liu, Kaiyuan He

Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

2022

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels.

Nicholas Carl Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding.

Haotian Ma, Hao Zhang, Fan Zhou, Yinqing Zhang, Quanshi Zhang

Proceedings of the International Conference on Machine Learning, 2022

A Parallel Simulation Method for Active Distribution Network Transient Process Based on Real-Time Simulator.

Haotian Ma, Keyan Liu, Wanxing Sheng

Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2022

2020

Rotation-Equivariant Neural Networks for Privacy Protection.

Hao Zhang, Yiting Chen, Haotian Ma, Xu Cheng, Qihan Ren, Liyao Xiang, Jie Shi, Quanshi Zhang

CoRR, 2020

Deep Quaternion Features for Privacy Protection.

Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang

CoRR, 2020

Economic Dispatch of Combined Heat and Power Energy Systems Using Electric Boiler to Accommodate Wind Power.

Bo Liu, Jiang Li, Shuo Zhang, Manling Gao, Haotian Ma, Guoqing Li, Chenghong Gu

IEEE Access, 2020

Generalized Benders Decomposition Based Dynamic Optimal Power Flow Considering Discrete and Continuous Decision Variables.

Bo Liu, Jiang Li, Haotian Ma, Yiying Liu

IEEE Access, 2020

Forecasting of Wind Capacity Ramp Events Using Typical Event Clustering Identification.

Jiang Li, Tianyu Song, Bo Liu, Haotian Ma, Jikai Chen, Yujian Cheng

IEEE Access, 2020

Interpretable Complex-Valued Neural Networks for Privacy Protection.

Liyao Xiang, Hao Zhang, Haotian Ma, Yifan Zhang, Jie Ren, Quanshi Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Visual graph mining for graph matching.

Quanshi Zhang, Xuan Song, Yu Yang, Haotian Ma, Ryosuke Shibasaki

Comput. Vis. Image Underst., 2019

Quantifying Layerwise Information Discarding of Neural Networks.

Haotian Ma, Yinqing Zhang, Fan Zhou, Quanshi Zhang

CoRR, 2019

Complex-Valued Neural Networks for Privacy Protection.

Liyao Xiang, Haotian Ma, Hao Zhang, Yifan Zhang, Quanshi Zhang

CoRR, 2019

Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks.

Zenan Ling, Haotian Ma, Yu Yang, Robert C. Qiu, Song-Chun Zhu, Quanshi Zhang

CoRR, 2019

Interpreting CNNs via Decision Trees.

Quanshi Zhang, Yu Yang, Haotian Ma, Ying Nian Wu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Design and Development of Intelligent Learning Companion for Primary School Students Based on the Tour of Well-Known Scenic Spots in Beijing.

Yujun Wang, Haotian Ma, Chengyu Li, Feng-Kuang Chiang

Proceedings of the Learning and Collaboration Technologies. Technology in Education, 2017