Chih-Hong Cheng 鄭志弘
Contact:
Email: my_family_name(dot)chihhong(at)gmail(dot)com
Short bio:
Currently, Chih-Hong Cheng is a technical manager at DENSO, researching safety technologies for autonomous driving. He is also an adjunct faculty (unpaid/voluntary) at Academia Sinica, the most prestigious academic research institute in Taiwan.
Previously, Chih-Hong was a permanent researcher at fortiss - Research Institute of the Free State of Bavaria, where he developed the research topic of dependable AI for autonomous systems. Before his tenure at fortiss, he was a scientist in ABB Corporate Research Germany, where he worked on projects related to intelligent production systems (Industry 4.0), cloud-related technologies for industrial automation (PaaS, IaaS), and the analysis of complex industrial software systems. Chih-Hong received his doctoral degree with distinction in CS from the Technical University of Munich.
Papers (DBLP):
(copyrights belong to publishers)- Safety-aware hardening of 3D object detection neural network systems [SAFECOMP'20 (pdf)]
- Towards robust direct perception networks for automated driving [IV'20 (pdf)]
- Towards safety verification of direct perception neural networks [DATE'20 (pdf)]
- nn-dependability-kit: Engineering neural networks for safety-critical autonomous driving systems [ICCAD'19 (pdf)]
- Runtime monitoring neuron activation patterns [DATE'19 (pdf)]
- Towards dependability metrics for neural networks [MEMOCODE'18 (pdf)]
- Quantitative projection coverage for testing ML-enabled autonomous systems [ATVA'18 (pdf)]
- Verification of binarized neural networks via inter-neuron factoring [VSTTE'18 (pdf)]
- Neural networks for safety-critical applications - challenges, experiments and perspectives [DATE'18 (pdf)]
- Maximum resilience of artificial neural networks [ATVA'17 (pdf) (video)]
- autoCode4: Structural controller synthesis [TACAS'17 (pdf)]
- Structural synthesis for GXW specifications [CAV'16 (pdf) (video)]
- Compositional parameter synthesis [FM'16]
- Semantic degrees for Industrie 4.0 engineering [ESEC/FSE'15 (pdf)]
- Formal consistency checking over specifications in natural languages [DATE'15 (pdf) (slides)]
- G4LTL-ST: Automatic generation of PLC programs [CAV'14 (pdf)(video)]
- JBernstein: A validity checker for generalized polynomial constraints [CAV'13 (pdf)]
- MGSyn: Automatic synthesis for industrial automation [CAV'12 (pdf) (video1, video2) ]
- Algorithms for synthesizing priorities in component based systems [ATVA'11 (pdf)]
Talks (slides available for download):
- Challenges and opportunities towards safe autonomous driving, a research talk given at the FoMLAS'20 workshop
- Introduction to safe machine learning, a talk given at the SOTIF US conference at Austin
- When neural networks meet dependability, a talk given at various circumstances