| 2023 | ETS | Attacking Memristor-Mapped Graph Neural Network by Inducing Slow-to-Write Errors. | Ching-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty |
| 2023 | VTS | Functional Test Generation for AI Accelerators using Bayesian Optimization | Arjun Chaudhuri, Ching-Yuan Chen, Jonti Talukdar, Krishnendu Chakrabarty |
| 2021 | DAC | Pruning of Deep Neural Networks for Fault-Tolerant Memristor-based Accelerators. | Ching-Yuan Chen, Krishnendu Chakrabarty |
| 2021 | DATE | Efficient Identification of Critical Faults in Memristor Crossbars for Deep Neural Networks. | Ching-Yuan Chen, Krishnendu Chakrabarty |
| 2021 | ITC | Efficient Fault-Criticality Analysis for AI Accelerators using a Neural Twin | Arjun Chaudhuri, Ching-Yuan Chen, Jonti Talukdar, Siddarth Madala, Abhishek Kumar Dubey, Krishnendu Chakrabarty |
| 2021 | ITC | On-line Functional Testing of Memristor-mapped Deep Neural Networks using Backdoored Checksums. | Ching-Yuan Chen, Krishnendu Chakrabarty |
| 2020 | ETS | Functional-Like Transition Delay Fault Test-Pattern Generation using a Bayesian-Based Circuit Model. | Ching-Yuan Chen, Ching-Hong Cheng, Jiun-Lang Huang, Krishnendu Chakrabarty |
| 2019 | DDECS | Testability Measures Considering Circuit Reconvergence to Reduce ATPG Runtime. | Kai-Hsun Chen, Ching-Yuan Chen, Jiun-Lang Huang |