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Hao Ren 0004
Person information
- affiliation: Honeywell Aerospace Advanced Technology, Plymouth, MN, USA
- affiliation: Iowa State University, Department of Electrical and Computer Engineering and Computer Science, Ames, IA, USA
Other persons with the same name
- Hao Ren — disambiguation page
- Hao Ren 0001 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Guangdong, China
- Hao Ren 0002 — Fudan University, Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, China
- Hao Ren 0003 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China (and 1 more)
- Hao Ren 0005 — Peng Cheng Laboratory, Department of Strategic and Advanced Interdisciplinary Research, Shenzhen, China (and 2 more)
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2020 – today
- 2022
- [c6]Devesh Bhatt, Hao Ren, Anitha Murugesan, Jason Biatek, Srivatsan Varadarajan, Natarajan Shankar:
Requirements-Driven Model Checking and Test Generation for Comprehensive Verification. NFM 2022: 576-596 - [i3]Natarajan Shankar, Devesh Bhatt, Michael D. Ernst, Minyoung Kim, Srivatsan Varadarajan, Suzanne Millstein, Jorge Navas, Jason Biatek, Huascar Sanchez, Anitha Murugesan, Hao Ren:
DesCert: Design for Certification. CoRR abs/2203.15178 (2022) - 2021
- [i2]Hao Ren, Ratnesh Kumar, Matthew Clark:
"ReLIC: Reduced Logic Inference for Composition" for Quantifier Elimination based Compositional Reasoning and Verification. CoRR abs/2103.05776 (2021) - 2020
- [j3]Alaa T. Al Ghazo, Mariam Ibrahim, Hao Ren, Ratnesh Kumar:
A2G2V: Automatic Attack Graph Generation and Visualization and Its Applications to Computer and SCADA Networks. IEEE Trans. Syst. Man Cybern. Syst. 50(10): 3488-3498 (2020)
2010 – 2019
- 2019
- [j2]Hao Ren, Ratnesh Kumar:
Simulation-based verification of bounded-horizon safety for hybrid systems using dynamic number of simulations. IET Cyper-Phys. Syst.: Theory & Appl. 4(3): 250-258 (2019) - [c5]Hao Ren, Ratnesh Kumar, Matthew A. Clark:
"ReLIC: Reduced Logic Inference for Composition" for Quantifier Elimination based Compositional Reasoning. ICINCO (1) 2019: 534-540 - [i1]Hao Ren, Sai Krishnan Chandrasekar, Anitha Murugesan:
Using Quantifier Elimination to Enhance the Safety Assurance of Deep Neural Networks. CoRR abs/1909.09142 (2019) - 2018
- [c4]Hao Ren, Matthew Clark, Ratnesh Kumar:
Integration of Quantifier Eliminator with Model Checker and Compositional Reasoner. ICCA 2018: 1070-1075 - 2017
- [j1]Hao Ren, Jing Huang, Shengbing Jiang, Ratnesh Kumar:
Verification using counterexample fragment based specification relaxation: case of modular/concurrent linear hybrid automata. IET Cyper-Phys. Syst.: Theory & Appl. 2(2): 65-74 (2017) - 2016
- [c3]Hao Ren, Devesh Bhatt, Jan Hvozdovic:
Improving an Industrial Test Generation Tool Using SMT Solver. NFM 2016: 100-106 - 2015
- [c2]Hao Ren, Ratnesh Kumar:
Step Simulation/Overapproximation-Based Verification of Nonlinear Deterministic Hybrid System with Inputs. ADHS 2015: 21-26 - 2014
- [c1]Hao Ren, Jing Huang, Shengbing Jiang, Ratnesh Kumar:
A new abstraction-refinement based verifier for modular linear hybrid automata and its implementation. ICNSC 2014: 30-35
Coauthor Index
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