Xiangning Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2019–2023
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | EMNLP | Symbol tuning improves in-context learning in language models. | Jerry W. Wei, Le Hou, Andrew K. Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le |
| 2022 | CVPR | Towards Efficient and Scalable Sharpness-Aware Minimization. | Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You |
| 2022 | ICLR | When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations. | Xiangning Chen, Cho-Jui Hsieh, Boqing Gong |
| 2022 | ICLR | Concurrent Adversarial Learning for Large-Batch Training. | Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You |
| 2022 | ICLR | Learning to Schedule Learning rate with Graph Neural Networks. | Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh |
| 2021 | CVPR | Robust and Accurate Object Detection via Adversarial Learning. | Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong |
| 2021 | ICCV | RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. | Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh |
| 2021 | ICLR | DrNAS: Dirichlet Neural Architecture Search. | Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh |
| 2021 | ICLR | Rethinking Architecture Selection in Differentiable NAS. | Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh |
| 2020 | ICML | Stabilizing Differentiable Architecture Search via Perturbation-based Regularization. | Xiangning Chen, Cho-Jui Hsieh |
| 2020 | WWW | Efficient Neural Interaction Function Search for Collaborative Filtering. | Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li, Cho-Jui Hsieh |
| 2019 | ICDE | Neural Multi-task Recommendation from Multi-behavior Data. | Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin |
| 2019 | ICDM | Neural Feature Search: A Neural Architecture for Automated Feature Engineering. | Xiangning Chen, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, Dongmei Zhang, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang |
| 2019 | IJCAI | DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation. | Huan Yan, Xiangning Chen, Chen Gao, Yong Li, Depeng Jin |
| 2019 | WWW | Cross-domain Recommendation Without Sharing User-relevant Data. | Chen Gao, Xiangning Chen, Fuli Feng, Kai Zhao, Xiangnan He, Yong Li, Depeng Jin |