| Symbolic discovery of optimization algorithms X Chen, C Liang, D Huang, E Real, K Wang, H Pham, X Dong, T Luong, ... Advances in Neural Information Processing Systems 36, 2024 | 410* | 2024 |
| When vision transformers outperform resnets without pre-training or strong data augmentations X Chen, CJ Hsieh, B Gong International Conference on Learning Representations, 2022 | 368 | 2022 |
| Neural multi-task recommendation from multi-behavior data C Gao, X He, D Gan, X Chen, F Feng, Y Li, TS Chua, D Jin 2019 IEEE 35th international conference on data engineering (ICDE), 1554-1557, 2019 | 253* | 2019 |
| Stabilizing differentiable architecture search via perturbation-based regularization X Chen, CJ Hsieh International conference on machine learning, 1554-1565, 2020 | 228 | 2020 |
| Rethinking Architecture Selection in Differentiable NAS R Wang, M Cheng, X Chen, X Tang, CJ Hsieh International Conference on Learning Representations, 2021 | 211 | 2021 |
| DrNAS: Dirichlet Neural Architecture Search X Chen, R Wang, M Cheng, X Tang, CJ Hsieh International Conference on Learning Representations, 2021 | 147 | 2021 |
| Towards efficient and scalable sharpness-aware minimization Y Liu, S Mai, X Chen, CJ Hsieh, Y You Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 139 | 2022 |
| Learning to recommend with multiple cascading behaviors C Gao, X He, D Gan, X Chen, F Feng, Y Li, TS Chua, L Yao, Y Song, D Jin IEEE transactions on knowledge and data engineering 33 (6), 2588-2601, 2019 | 131* | 2019 |
| Cross-domain recommendation without sharing user-relevant data C Gao, X Chen, F Feng, K Zhao, X He, Y Li, D Jin The world wide web conference, 491-502, 2019 | 131 | 2019 |
| Robust and accurate object detection via adversarial learning X Chen, C Xie, M Tan, L Zhang, CJ Hsieh, B Gong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 99 | 2021 |
| Neural feature search: A neural architecture for automated feature engineering X Chen, Q Lin, C Luo, X Li, H Zhang, Y Xu, Y Dang, K Sui, X Zhang, ... 2019 IEEE International Conference on Data Mining (ICDM), 71-80, 2019 | 64 | 2019 |
| Symbol tuning improves in-context learning in language models J Wei, L Hou, A Lampinen, X Chen, D Huang, Y Tay, X Chen, Y Lu, ... arXiv preprint arXiv:2305.08298, 2023 | 60 | 2023 |
| Red teaming language model detectors with language models Z Shi, Y Wang, F Yin, X Chen, KW Chang, CJ Hsieh Transactions of the Association for Computational Linguistics 12, 174-189, 2024 | 57 | 2024 |
| Efficient neural interaction function search for collaborative filtering Q Yao*, X Chen*, JT Kwok, Y Li, CJ Hsieh Proceedings of The Web Conference 2020, 1660-1670, 2020 | 52 | 2020 |
| Random sharpness-aware minimization Y Liu, S Mai, M Cheng, X Chen, CJ Hsieh, Y You Advances in Neural Information Processing Systems 35, 24543-24556, 2022 | 25 | 2022 |
| Can Vision Transformers Perform Convolution? S Li, X Chen, D He, CJ Hsieh arXiv preprint arXiv:2111.01353, 2021 | 21 | 2021 |
| Rank-nosh: Efficient predictor-based architecture search via non-uniform successive halving R Wang, X Chen, M Cheng, X Tang, CJ Hsieh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 18 | 2021 |
| Learning to Schedule Learning rate with Graph Neural Networks Y Xiong, LC Lan, X Chen, R Wang, CJ Hsieh International Conference on Learning Representations, 2022 | 17 | 2022 |
| Why does sharpness-aware minimization generalize better than SGD? Z Chen, J Zhang, Y Kou, X Chen, CJ Hsieh, Q Gu Advances in neural information processing systems 36, 2024 | 15 | 2024 |
| Concurrent Adversarial Learning for Large-Batch Training Y Liu, X Chen, M Cheng, CJ Hsieh, Y You International Conference on Learning Representations, 2022 | 12 | 2022 |
Cho-Jui HsiehUniversity of California, Los Angeles確認したメール アドレス: cs.ucla.edu
