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2020 – today
- 2024
[c11]Maximilian Baader, Mark Niklas Müller, Yuhao Mao, Martin T. Vechev:
Expressivity of ReLU-Networks under Convex Relaxations. ICLR 2024- [c10]Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev:
Understanding Certified Training with Interval Bound Propagation. ICLR 2024 - [c9]Zekun Qiu
, Zhipu Xie, Zehua Ji, Yuhao Mao, Ke Cheng:
SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment. ICMLT 2024: 221-231 - [c8]Tao Zou, Yuhao Mao, Junchen Ye, Bowen Du:
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning. KDD 2024: 4722-4733 - [i10]Stefan Balauca, Mark Niklas Müller, Yuhao Mao, Maximilian Baader, Marc Fischer, Martin T. Vechev:
Overcoming the Paradox of Certified Training with Gaussian Smoothing. CoRR abs/2403.07095 (2024) - [i9]Tao Zou, Yuhao Mao, Junchen Ye, Bowen Du:
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning. CoRR abs/2405.17473 (2024) - [i8]Yuhao Mao, Stefan Balauca, Martin T. Vechev:
CTBENCH: A Library and Benchmark for Certified Training. CoRR abs/2406.04848 (2024) - 2023
- [c7]Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev:
Connecting Certified and Adversarial Training. NeurIPS 2023 - [i7]Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev:
TAPS: Connecting Certified and Adversarial Training. CoRR abs/2305.04574 (2023) - [i6]Zekun Qiu, Zhipu Xie, Zehua Ji, Yuhao Mao, Ke Cheng:
SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment. CoRR abs/2305.13634 (2023) - [i5]Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin T. Vechev:
Understanding Certified Training with Interval Bound Propagation. CoRR abs/2306.10426 (2023) - [i4]Maximilian Baader, Mark Niklas Müller, Yuhao Mao, Martin T. Vechev:
Expressivity of ReLU-Networks under Convex Relaxations. CoRR abs/2311.04015 (2023) - 2022
- [c6]Yuyou Gan, Yuhao Mao, Xuhong Zhang, Shouling Ji, Yuwen Pu, Meng Han, Jianwei Yin, Ting Wang:
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution. CCS 2022: 1157-1171 - [c5]Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang:
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. SP 2022: 1423-1439 - [i3]Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang:
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. CoRR abs/2204.04063 (2022) - [i2]Yuyou Gan, Yuhao Mao, Xuhong Zhang, Shouling Ji, Yuwen Pu, Meng Han, Jianwei Yin, Ting Wang:
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution. CoRR abs/2209.01782 (2022) - 2021
- [c4]Sudhir P. Mudur, Serguei A. Mokhov, Yuhao Mao:
A Framework for Enhancing Deep Learning Based Recommender Systems with Knowledge Graphs. IDEAS 2021: 11-20 - [c3]Qihang Yi, Yi Zuo, Tieshan Li, Yuhao Mao, Yang Xiao:
Forecasting of Vessel Traffic Flow Using BPNN Based on Genetic Algorithm Optimization. IWCMC 2021: 1059-1063 - [c2]Yuhao Mao, Qihe Shan, Tieshan Li, Shun Yang, Qihang Yi:
Adaptive Containment Control for Unmanned Surface Vessels. SPAC 2021: 99-104 - [i1]Yuhao Mao, Serguei A. Mokhov, Sudhir P. Mudur:
Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy. CoRR abs/2101.03054 (2021)
2010 – 2019
- 2019
- [c1]Peng Zhu, Wenhan Dong, Yuhao Mao, Haoyu Shi, Xiaoshan Ma:
Kernel Adaptive Filtering Multiple-model Actuator Fault Diagnostic For Multi-effectors Aircraft. ASCC 2019: 1489-1494
Coauthor Index
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