| Code relatives: detecting similarly behaving software FH Su, J Bell, K Harvey, S Sethumadhavan, G Kaiser, T Jebara Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016 | 74 | 2016 |
| Identifying functionally similar code in complex codebases FH Su, J Bell, G Kaiser, S Sethumadhavan 2016 IEEE 24th International Conference on Program Comprehension (ICPC), 1-10, 2016 | 49 | 2016 |
| Dynamic inference of likely metamorphic properties to support differential testing FH Su, J Bell, C Murphy, G Kaiser Proceedings of the 10th International Workshop on Automation of Software …, 2015 | 37 | 2015 |
| Why do programs have heavy tails? H Sasaki, FH Su, T Tanimoto, S Sethumadhavan 2017 IEEE International Symposium on Workload Characterization (IISWC), 135-145, 2017 | 8 | 2017 |
| Challenges in behavioral code clone detection FH Su, J Bell, G Kaiser 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and …, 2016 | 8 | 2016 |
| Obfuscation resilient search through executable classification FH Su, J Bell, G Kaiser, B Ray Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine …, 2018 | 5 | 2018 |
| Service oriented platform design for collaborative engineering data analysis JR Lee, SC Chang, FH Su, CM Fan 2007 International Symposium on Semiconductor Manufacturing, 1-4, 2007 | 5 | 2007 |
| EXOS: Expansion on session for enhancing effectiveness of query auto-completion FH Su, M Somaiya, S Mishra, R Mukherjee 2015 IEEE International Conference on Big Data (Big Data), 1154-1163, 2015 | 3 | 2015 |
| Metamorphic runtime checking of applications without test oracles C Murphy, J Bell, FH Su, G Kaiser Technical Report CUCS-023-13, 2013 | 3 | 2013 |
| Code relatives detection FS Su, L Sethumadhavan, GE Kaiser, T Jebara US Patent App. 15/549,785, 2018 | 2 | 2018 |
| Code Relatives: Detecting Similar Software Behavior F Su, K Harvey, S Sethumadhavan, G Kaiser, T Jebara Department of Computer Science, Columbia University, 2015 | 2 | 2015 |
| Heavy tails in program structure H Sasaki, FH Su, T Tanimoto, S Sethumadhavan IEEE Computer Architecture Letters 16 (1), 34-37, 2017 | 1 | 2017 |
| A novel ontology-based knowledge engineering approach for yield symptom identification in semiconductor manufacturing FH Su, SC Chang, CM Fan, YJ Tsai, J Jheng, CP Kao, CY Lu 2009 IEEE International Conference on Automation Science and Engineering …, 2009 | 1 | 2009 |
| Uncovering features in kindred programs FH Su 2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017 | | 2017 |
| Code relatives detection F Su, L Sethumadhavan, GE Kaiser, T Jebara WO Patent App. WO2016130542A1, 2016 | | 2016 |
| Enhanced search query suggestions MH Somaiya, R Mukherjee, S Mishra, FH Su US Patent App. 14/818,034, 2016 | | 2016 |
| Ontology model to accelerate engineering analysis in manufacturing YJ Tsai, CM Fan, SC Chang, HC Cheng, FH Su, WC Chen, CP Kao US Patent 8,510,254, 2013 | | 2013 |
| Knowledge engineering of analysis tool application processes for yield symptom identification FH Su, SC Chang, YJ Tsai, CY Lu, CM Fan 2008 International Symposium on Semiconductor Manufacturing (ISSM), 261-262, 2008 | | 2008 |
