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Xiangning Chen
Xiangning Chen
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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
391*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
3642022
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
246*2019
Stabilizing differentiable architecture search via perturbation-based regularization
X Chen, CJ Hsieh
International conference on machine learning, 1554-1565, 2020
2272020
Rethinking Architecture Selection in Differentiable NAS
R Wang, M Cheng, X Chen, X Tang, CJ Hsieh
International Conference on Learning Representations, 2021
2092021
DrNAS: Dirichlet Neural Architecture Search
X Chen, R Wang, M Cheng, X Tang, CJ Hsieh
International Conference on Learning Representations, 2021
1472021
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
1352022
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
1312019
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
129*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
982021
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
602019
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
572023
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
562024
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
522020
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
232022
Can Vision Transformers Perform Convolution?
S Li, X Chen, D He, CJ Hsieh
arXiv preprint arXiv:2111.01353, 2021
212021
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
182021
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
172022
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
132024
Concurrent Adversarial Learning for Large-Batch Training
Y Liu, X Chen, M Cheng, CJ Hsieh, Y You
International Conference on Learning Representations, 2022
122022
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