Yuhao Mao

According to our database, Yuhao Mao authored at least 18 papers between 2019 and 2024.

Collaborative distances:

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

2024

Average Certified Radius is a Poor Metric for Randomized Smoothing.

Chenhao Sun, Yuhao Mao, Mark Niklas Müller, Martin T. Vechev

CoRR, 2024

Multi-Neuron Unleashes Expressivity of ReLU Networks Under Convex Relaxation.

Yuhao Mao, Yani Zhang, Martin T. Vechev

CoRR, 2024

CTBENCH: A Library and Benchmark for Certified Training.

Yuhao Mao, Stefan Balauca, Martin T. Vechev

CoRR, 2024

Overcoming the Paradox of Certified Training with Gaussian Smoothing.

Stefan Balauca, Mark Niklas Müller, Yuhao Mao, Maximilian Baader, Marc Fischer, Martin T. Vechev

CoRR, 2024

Repeat-Aware Neighbor Sampling for Dynamic Graph Learning.

Tao Zou, Yuhao Mao, Junchen Ye, Bowen Du

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment.

Zekun Qiu, Zhipu Xie, Zehua Ji, Yuhao Mao, Ke Cheng

Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024

Understanding Certified Training with Interval Bound Propagation.

Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Expressivity of ReLU-Networks under Convex Relaxations.

Maximilian Baader, Mark Niklas Müller, Yuhao Mao, Martin T. Vechev

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment.

Zekun Qiu, Zhipu Xie, Zehua Ji, Yuhao Mao, Ke Cheng

CoRR, 2023

TAPS: Connecting Certified and Adversarial Training.

Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev

CoRR, 2023

Connecting Certified and Adversarial Training.

Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings.

Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution.

Yuyou Gan, Yuhao Mao, Xuhong Zhang, Shouling Ji, Yuwen Pu, Meng Han, Jianwei Yin, Ting Wang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy.

Yuhao Mao, Serguei A. Mokhov, Sudhir P. Mudur

CoRR, 2021

Adaptive Containment Control for Unmanned Surface Vessels.

Yuhao Mao, Qihe Shan, Tieshan Li, Shun Yang, Qihang Yi

Proceedings of the 2021 International Conference on Security, 2021

Forecasting of Vessel Traffic Flow Using BPNN Based on Genetic Algorithm Optimization.

Qihang Yi, Yi Zuo, Tieshan Li, Yuhao Mao, Yang Xiao

Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

A Framework for Enhancing Deep Learning Based Recommender Systems with Knowledge Graphs.

Sudhir P. Mudur, Serguei A. Mokhov, Yuhao Mao

Proceedings of the IDEAS 2021: 25th International Database Engineering & Applications Symposium, 2021

2019

Kernel Adaptive Filtering Multiple-model Actuator Fault Diagnostic For Multi-effectors Aircraft.

Peng Zhu, Wenhan Dong, Yuhao Mao, Haoyu Shi, Xiaoshan Ma

Proceedings of the 12th Asian Control Conference, 2019