| Learning to prompt for continual learning Z Wang, Z Zhang, CY Lee, H Zhang, R Sun, X Ren, G Su, V Perot, J Dy, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 699 | 2022 |
| Dualprompt: Complementary prompting for rehearsal-free continual learning Z Wang, Z Zhang, S Ebrahimi, R Sun, H Zhang, CY Lee, X Ren, G Su, ... European Conference on Computer Vision, 631-648, 2022 | 422 | 2022 |
| NeuroPAL: a multicolor atlas for whole-brain neuronal identification in C. elegans E Yemini, A Lin, A Nejatbakhsh, E Varol, R Sun, GE Mena, ADT Samuel, ... Cell 184 (1), 272-288. e11, 2021 | 236* | 2021 |
| Kohn-Sham equations as regularizer: Building prior knowledge into machine-learned physics L Li, S Hoyer, R Pederson, R Sun, ED Cubuk, P Riley, K Burke Physical review letters 126 (3), 036401, 2021 | 173 | 2021 |
| Snipuzz: Black-box fuzzing of iot firmware via message snippet inference X Feng, R Sun, X Zhu, M Xue, S Wen, D Liu, S Nepal, Y Xiang Proceedings of the 2021 ACM SIGSAC conference on computer and communications …, 2021 | 118 | 2021 |
| Capabilities of gemini models in medicine K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ... arXiv preprint arXiv:2404.18416, 2024 | 87 | 2024 |
| SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended) R Sun, SÖ Arik, A Muzio, L Miculicich, S Gundabathula, P Yin, H Dai, ... arXiv preprint arXiv:2306.00739, 2023 | 74 | 2023 |
| Data hiding with deep learning: A survey unifying digital watermarking and steganography Z Wang, O Byrnes, H Wang, R Sun, C Ma, H Chen, Q Wu, M Xue IEEE Transactions on Computational Social Systems 10 (6), 2985-2999, 2023 | 72 | 2023 |
| An empirical assessment of global COVID-19 contact tracing applications R Sun, W Wang, M Xue, G Tyson, S Camtepe, DC Ranasinghe 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 69 | 2021 |
| The" Beatrix''Resurrections: Robust Backdoor Detection via Gram Matrices W Ma, D Wang, R Sun, M Xue, S Wen, Y Xiang arXiv preprint arXiv:2209.11715, 2022 | 67 | 2022 |
| Towards understanding retrosynthesis by energy-based models R Sun, H Dai, L Li, S Kearnes, B Dai Advances in Neural Information Processing Systems 34, 10186-10194, 2021 | 65* | 2021 |
| Does gnn pretraining help molecular representation? R Sun, H Dai, AW Yu Advances in Neural Information Processing Systems 35, 12096-12109, 2022 | 64 | 2022 |
| Using a thousand optimization tasks to learn hyperparameter search strategies L Metz, N Maheswaranathan, R Sun, CD Freeman, B Poole, ... arXiv preprint arXiv:2002.11887, 2020 | 38 | 2020 |
| Better zero-shot reasoning with self-adaptive prompting X Wan, R Sun, H Dai, SO Arik, T Pfister arXiv preprint arXiv:2305.14106, 2023 | 36 | 2023 |
| Quality assessment of online automated privacy policy generators: an empirical study R Sun, M Xue Proceedings of the 24th International Conference on Evaluation and …, 2020 | 27 | 2020 |
| Combination use of ultrasound irradiation and ionic liquid in enzymatic isomerization of glucose to fructose Y Wang, Y Pan, Z Zhang, R Sun, X Fang, D Yu Process Biochemistry 47 (6), 976-982, 2012 | 27 | 2012 |
| Path transitions tell more: Optimizing fuzzing schedules via runtime program states K Zhang, X Xiao, X Zhu, R Sun, M Xue, S Wen Proceedings of the 44th International Conference on Software Engineering …, 2022 | 26 | 2022 |
| Stylefool: Fooling video classification systems via style transfer Y Cao, X Xiao, R Sun, D Wang, M Xue, S Wen 2023 IEEE symposium on security and privacy (SP), 1631-1648, 2023 | 24 | 2023 |
| MI: Multi-modal Models Membership Inference P Hu, Z Wang, R Sun, H Wang, M Xue Advances in Neural Information Processing Systems 35, 1867-1882, 2022 | 22 | 2022 |
| Reverse engineering learned optimizers reveals known and novel mechanisms N Maheswaranathan, D Sussillo, L Metz, R Sun, J Sohl-Dickstein Advances in Neural Information Processing Systems 34, 19910-19922, 2021 | 22 | 2021 |