| Improving Programming Q&A with Neural Generative Augmentation S Chaidaroon, X Zhang, S Subramaniyam, J Svajlenko, T Shourya, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | | 2023 |
| Micro-partitioning based search I Keivanloo, TAM Chilimbi, N Sadagopan, CH Teo, S Rajagopalan, H Yun, ... US Patent 11,704,318, 2023 | | 2023 |
| Improving programming Q&A with neural generative augmentation U Suthee, C Zhang, S Subramaniyam, J Svajlenko, T Shourya, ... | | 2023 |
| DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction A Muhamed, J Singh, S Zheng, I Keivanloo, S Perera, J Mracek, Y Xu, ... Companion Proceedings of the Web Conference 2022, 110-115, 2022 | 1 | 2022 |
| MMT4: Multi modality to text transfer transformer A Tavanaei, K Bouyarmane, I Keivanloo, I Tutar | 1 | 2022 |
| Magic pyramid: Accelerating inference with early exiting and token pruning X He, I Keivanloo, Y Xu, X He, B Zeng, S Rajagopalan, T Chilimbi arXiv preprint arXiv:2111.00230, 2021 | 15 | 2021 |
| Low-precision quantization for efficient nearest neighbor search A Ko, I Keivanloo, V Lakshman, E Schkufza arXiv preprint arXiv:2110.08919, 2021 | 3 | 2021 |
| CTR-BERT: Cost-effective knowledge distillation for billion-parameter teacher models A Muhamed, I Keivanloo, S Perera, J Mracek, Y Xu, Q Cui, S Rajagopalan, ... NeurIPS Efficient Natural Language and Speech Processing Workshop, 2021 | 41 | 2021 |
| Source code clone search I Keivanloo, J Rilling Code Clone Analysis: Research, Tools, and Practices, 121-134, 2021 | 3 | 2021 |
| Recommending Insightful Comments for Source Code using Crowdsourced Knowledge M Masudur Rahman, CK Roy, I Keivanloo arXiv e-prints, arXiv: 1807.02278, 2018 | | 2018 |
| A study of the relation of mobile device attributes with the user-perceived quality of Android apps (journal-first abstract) E Noei, MD Syer, Y Zou, AE Hassan, I Keivanloo 2018 IEEE 25th International Conference on Software Analysis, Evolution and …, 2018 | | 2018 |
| Data transformation in cross-project defect prediction F Zhang, I Keivanloo, Y Zou Empirical Software Engineering 22, 3186-3218, 2017 | 74 | 2017 |
| A study of the relation of mobile device attributes with the user-perceived quality of Android apps E Noei, MD Syer, Y Zou, AE Hassan, I Keivanloo Empirical Software Engineering 22, 3088-3116, 2017 | 63 | 2017 |
| Expanding queries for code search using semantically related api class-names F Zhang, H Niu, I Keivanloo, Y Zou IEEE Transactions on Software Engineering 44 (11), 1070-1082, 2017 | 49 | 2017 |
| An exploratory study on the usage of common interface elements in android applications SES Taba, I Keivanloo, Y Zou, S Wang Journal of Systems and Software 131, 491-504, 2017 | 22 | 2017 |
| API usage pattern recommendation for software development H Niu, I Keivanloo, Y Zou Journal of Systems and Software 129, 127-139, 2017 | 73 | 2017 |
| Learning to rank code examples for code search engines H Niu, I Keivanloo, Y Zou Empirical Software Engineering 22, 259-291, 2017 | 107 | 2017 |
| An intelligent framework for auto-filling web forms from different web applications S Wang, Y Zou, I Keivanloo, B Upahyaya, J Ng International Journal of Business Process Integration and Management 8 (1 …, 2017 | 5 | 2017 |
| Context-awareness in the software domain—A semantic web enabled modeling approach M Erfani, M Zandi, J Rilling, I Keivanloo Journal of Systems and Software 121, 345-357, 2016 | 9 | 2016 |
| Towards building a universal defect prediction model with rank transformed predictors F Zhang, A Mockus, I Keivanloo, Y Zou Empirical Software Engineering 21, 2107-2145, 2016 | 126 | 2016 |
Ying ZouProfessor, Canada Research Chair (Tier 1) in Software Evolution, Electrical and Computer EngineeringVerified email at queensu.ca