Chen, Xiangning

13 publications

NeurIPS 2023 Symbolic Discovery of Optimization Algorithms Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V Le

NeurIPS 2023 Why Does Sharpness-Aware Minimization Generalize Better than SGD? Zixiang Chen, Junkai Zhang, Yiwen Kou, Xiangning Chen, Cho-Jui Hsieh, Quanquan Gu

ICLR 2022 Concurrent Adversarial Learning for Large-Batch Training Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You

ICLR 2022 Learning to Schedule Learning Rate with Graph Neural Networks Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh

NeurIPS 2022 Random Sharpness-Aware Minimization Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You

CVPR 2022 Towards Efficient and Scalable Sharpness-Aware Minimization Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You

ICLR 2022 When Vision Transformers Outperform ResNets Without Pre-Training or Strong Data Augmentations Xiangning Chen, Cho-Jui Hsieh, Boqing Gong

ICLR 2021 DrNAS: Dirichlet Neural Architecture Search Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh

ICCV 2021 RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh

ICLR 2021 Rethinking Architecture Selection in Differentiable NAS Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh

CVPR 2021 Robust and Accurate Object Detection via Adversarial Learning Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong

ICML 2020 Stabilizing Differentiable Architecture Search via Perturbation-Based Regularization Xiangning Chen, Cho-Jui Hsieh

IJCAI 2019 DeepAPF: Deep Attentive Probabilistic Factorization for Multi-Site Video Recommendation Huan Yan, Xiangning Chen, Chen Gao, Yong Li, Depeng Jin