Haotian Ma

Orcid: 0000-0003-0561-0425

According to our database1, Haotian Ma authored at least 20 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Transferable Black-Box Attack Against Face Recognition With Spatial Mutable Adversarial Patch.
IEEE Trans. Inf. Forensics Secur., 2023

A Distribution Network State Estimation Method With Non-Gaussian Noise Based on Parallel Particle Filter.
IEEE Access, 2023

GLogS: Interactive Graph Pattern Matching Query At Large Scale.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Voltage Estimation Method for Distribution Network Based on Wiener Filter.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels.
CoRR, 2022

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels.
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.
Proceedings of the International Conference on Machine Learning, 2022

A Parallel Simulation Method for Active Distribution Network Transient Process Based on Real-Time Simulator.
Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2022

2020
Rotation-Equivariant Neural Networks for Privacy Protection.
CoRR, 2020

Deep Quaternion Features for Privacy Protection.
CoRR, 2020

Economic Dispatch of Combined Heat and Power Energy Systems Using Electric Boiler to Accommodate Wind Power.
IEEE Access, 2020

Generalized Benders Decomposition Based Dynamic Optimal Power Flow Considering Discrete and Continuous Decision Variables.
IEEE Access, 2020

Forecasting of Wind Capacity Ramp Events Using Typical Event Clustering Identification.
IEEE Access, 2020

Interpretable Complex-Valued Neural Networks for Privacy Protection.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Visual graph mining for graph matching.
Comput. Vis. Image Underst., 2019

Quantifying Layerwise Information Discarding of Neural Networks.
CoRR, 2019

Complex-Valued Neural Networks for Privacy Protection.
CoRR, 2019

Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks.
CoRR, 2019

Interpreting CNNs via Decision Trees.
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.
Proceedings of the Learning and Collaboration Technologies. Technology in Education, 2017


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