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Cheng-Chao Huang
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2020 – today
- 2024
- [c10]Jianan Ma
, Pengfei Yang
VeRe: Verification Guided Synthesis for Repairing Deep Neural Networks. ICSE 2024: 8:1-8:13 - [i8]Zhiming Chi, Jianan Ma, Pengfei Yang, Cheng-Chao Huang, Renjue Li, Xiaowei Huang, Lijun Zhang:
ADVREPAIR: Provable Repair of Adversarial Attack. CoRR abs/2404.01642 (2024) - 2023
- [j6]Jianling Fu, Cheng-Chao Huang, Yong Li, Jingyi Mei, Ming Xu
Quantitative controller synthesis for consumption Markov decision processes. Inf. Process. Lett. 180: 106342 (2023) - [c9]Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang:
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. ICCV 2023: 8293-8305 - [i7]Pengfei Yang, Zhiming Chi, Zongxin Liu, Mengyu Zhao, Cheng-Chao Huang, Shaowei Cai, Lijun Zhang:
Incremental Satisfiability Modulo Theory for Verification of Deep Neural Networks. CoRR abs/2302.06455 (2023) - [i6]Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang:
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. CoRR abs/2308.05985 (2023) - 2022
- [c8]Renjue Li, Pengfei Yang, Cheng-Chao Huang, Youcheng Sun, Bai Xue, Lijun Zhang:
Towards Practical Robustness Analysis for DNNs based on PAC-Model Learning. ICSE 2022: 2189-2201 - [c7]Cheng-Chao Huang:
Explicit Bounds for Linear Forms in the Exponentials of Algebraic Numbers. ISSAC 2022: 371-379 - [i5]Renjue Li, Tianhang Qin, Pengfei Yang, Cheng-Chao Huang, Youcheng Sun, Lijun Zhang:
Safety Analysis of Autonomous Driving Systems Based on Model Learning. CoRR abs/2211.12733 (2022) - 2021
- [j5]Ming Xu
Measuring the constrained reachability in quantum Markov chains. Acta Informatica 58(6): 653-674 (2021) - [j4]Pengfei Yang, Jianlin Li, Jiangchao Liu, Cheng-Chao Huang, Renjue Li, Liqian Chen, Xiaowei Huang
Enhancing Robustness Verification for Deep Neural Networks via Symbolic Propagation. Formal Aspects Comput. 33(3): 407-435 (2021) - [c6]Wei-Peng Cao, Sheng-Dong Li, Cheng-Chao Huang, Yu-Hao Wu, Qiang Wang, Da-Chuan Li, Ye Liu:
An Ensemble Fuzziness-Based Online Sequential Learning Approach and Its Application. KSEM 2021: 255-267 - [c5]Pengfei Yang
Improving Neural Network Verification through Spurious Region Guided Refinement. TACAS (1) 2021: 389-408 - [i4]Renjue Li, Pengfei Yang, Cheng-Chao Huang, Bai Xue, Lijun Zhang:
Probabilistic Robustness Analysis for DNNs based on PAC Learning. CoRR abs/2101.10102 (2021) - [i3]Renjue Li, Hanwei Zhang, Pengfei Yang, Cheng-Chao Huang, Aimin Zhou, Bai Xue, Lijun Zhang:
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness. CoRR abs/2106.02867 (2021) - [i2]Cheng-Chao Huang:
Explicit Bounds for Linear Forms in the Exponentials of Algebraic Numbers. CoRR abs/2112.05004 (2021) - 2020
- [j3]Cheng-Chao Huang, Ming Xu
A Conflict-Driven Solving Procedure for Poly-Power Constraints. J. Autom. Reason. 64(1): 1-20 (2020) - [c4]Weizhi Feng
Modelling and Implementation of Unmanned Aircraft Collision Avoidance. SETTA 2020: 52-69 - [c3]Renjue Li, Jianlin Li
PRODeep: a platform for robustness verification of deep neural networks. ESEC/SIGSOFT FSE 2020: 1630-1634 - [i1]Pengfei Yang, Renjue Li, Jianlin Li
Improving Neural Network Verification through Spurious Region Guided Refinement. CoRR abs/2010.07722 (2020)
2010 – 2019
- 2018
- [j2]Cheng-Chao Huang, Jing-Cao Li, Ming Xu
Positive root isolation for poly-powers by exclusion and differentiation. J. Symb. Comput. 85: 148-169 (2018) - 2016
- [j1]Ming Xu
Analyzing ultimate positivity for solvable systems. Theor. Comput. Sci. 609: 395-412 (2016) - [c2]Qianwen Zhang, Cheng-Chao Huang, Jinkui Xie:
Influence Spread Evaluation and Propagation Rebuilding. ICONIP (2) 2016: 481-490 - [c1]Jing-Cao Li, Cheng-Chao Huang, Ming Xu
Positive Root Isolation for Poly-Powers. ISSAC 2016: 325-332
Coauthor Index
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