Yuhao Mao

32 papers A* 8B 1C 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Compact Boolean Networks.
CoRR
Shengpu Wang, Yuhao Mao, Yani Zhang, Martin T. Vechev
2025 A* conf
Average Certified Radius is a Poor Metric for Randomized Smoothing.
ICML
Chenhao Sun, Yuhao Mao, Mark Niklas Müller, Martin T. Vechev
2025 A* conf
CTBench: A Library and Benchmark for Certified Training.
ICML
Yuhao Mao, Stefan Balauca, Martin T. Vechev
2025 J jnl
Dual Randomized Smoothing: Beyond Global Noise Variance.
CoRR
Chenhao Sun, Yuhao Mao, Martin T. Vechev
2025 J jnl
Gaussian Loss Smoothing Enables Certified Training with Tight Convex Relaxations.
Trans. Mach. Learn. Res.
Stefan Balauca, Mark Niklas Müller, Yuhao Mao, Maximilian Baader, Marc Fischer, Martin T. Vechev
2025 J jnl
HGSMAP: a novel heterogeneous graph-based associative percept framework for scenario-based optimal model assignment.
Knowl. Inf. Syst.
Zekun Qiu, Zhipu Xie, Zehua Ji, Yuhao Mao, Ke Cheng
2025 J jnl
On the Security Risks of ML-based Malware Detection Systems: A Survey.
CoRR
Ping He, Yuhao Mao, Changjiang Li, Lorenzo Cavallaro, Ting Wang, Shouling Ji
2025 J jnl
Spatio-Temporal Recursive Method for Traffic Flow Interpolation.
Symmetry
Gang Wang, Yuhao Mao, Xu Liu, Haohan Liang, Keqiang Li
2024 — conf
Amplitude and Phase Errors Optimization for High-Precision Electrical Impedance Measurement System.
BioCAS
Lingfeng Luan, Yuhao Mao, Wenhao Zhang, Jieming Ni, Long Xu, Boxiao Liu
2024 J jnl
Average Certified Radius is a Poor Metric for Randomized Smoothing.
CoRR
Chenhao Sun, Yuhao Mao, Mark Niklas Müller, Martin T. Vechev
2024 J jnl
CTBENCH: A Library and Benchmark for Certified Training.
CoRR
Yuhao Mao, Stefan Balauca, Martin T. Vechev
2024 A* conf
Expressivity of ReLU-Networks under Convex Relaxations.
ICLR
Maximilian Baader, Mark Niklas Müller, Yuhao Mao, Martin T. Vechev
2024 J jnl
Multi-Neuron Unleashes Expressivity of ReLU Networks Under Convex Relaxation.
CoRR
Yuhao Mao, Yani Zhang, Martin T. Vechev
2024 J jnl
Overcoming the Paradox of Certified Training with Gaussian Smoothing.
CoRR
Stefan Balauca, Mark Niklas Müller, Yuhao Mao, Maximilian Baader, Marc Fischer, Martin T. Vechev
2024 A* conf
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning.
KDD
Tao Zou, Yuhao Mao, Junchen Ye, Bowen Du
2024 J jnl
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning.
CoRR
Tao Zou, Yuhao Mao, Junchen Ye, Bowen Du
2024 — conf
SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment.
ICMLT
Zekun Qiu, Zhipu Xie, Zehua Ji, Yuhao Mao, Ke Cheng
2024 A* conf
Understanding Certified Training with Interval Bound Propagation.
ICLR
Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev
2023 A* conf
Connecting Certified and Adversarial Training.
NeurIPS
Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev
2023 J jnl
Expressivity of ReLU-Networks under Convex Relaxations.
CoRR
Maximilian Baader, Mark Niklas Müller, Yuhao Mao, Martin T. Vechev
2023 J jnl
SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment.
CoRR
Zekun Qiu, Zhipu Xie, Zehua Ji, Yuhao Mao, Ke Cheng
2023 J jnl
TAPS: Connecting Certified and Adversarial Training.
CoRR
Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev
2023 J jnl
Understanding Certified Training with Interval Bound Propagation.
CoRR
Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev
2022 A* conf
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution.
CCS
Yuyou Gan, Yuhao Mao, Xuhong Zhang, Shouling Ji, Yuwen Pu, Meng Han, Jianwei Yin, Ting Wang
2022 J jnl
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution.
CoRR
Yuyou Gan, Yuhao Mao, Xuhong Zhang, Shouling Ji, Yuwen Pu, Meng Han, Jianwei Yin, Ting Wang
2022 A* conf
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings.
SP
Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang
2022 J jnl
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings.
CoRR
Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang
2021 C conf
A Framework for Enhancing Deep Learning Based Recommender Systems with Knowledge Graphs.
IDEAS
Sudhir P. Mudur, Serguei A. Mokhov, Yuhao Mao
2021 — conf
Adaptive Containment Control for Unmanned Surface Vessels.
SPAC
Yuhao Mao, Qihe Shan, Tieshan Li, Shun Yang, Qihang Yi
2021 J jnl
Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy.
CoRR
Yuhao Mao, Serguei A. Mokhov, Sudhir P. Mudur
2021 B conf
Forecasting of Vessel Traffic Flow Using BPNN Based on Genetic Algorithm Optimization.
IWCMC
Qihang Yi, Yi Zuo, Tieshan Li, Yuhao Mao, Yang Xiao
2019 — conf
Kernel Adaptive Filtering Multiple-model Actuator Fault Diagnostic For Multi-effectors Aircraft.
ASCC
Peng Zhu, Wenhan Dong, Yuhao Mao, Haoyu Shi, Xiaoshan Ma