Rongmei Lin

According to our database, Rongmei Lin authored at least 13 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

PV2TEA: Patching Visual Modality to Textual-Established Information Extraction.

Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Federated Pruning: Improving Neural Network Efficiency with Federated Learning.

Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

PAM: Understanding Product Images in Cross Product Category Attribute Extraction.

Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Orthogonal Over-Parameterized Training.

Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning with Hyperspherical Uniformity.

Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Orthogonal Over-Parameterized Training.

Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song

CoRR, 2020

Regularizing Neural Networks via Minimizing Hyperspherical Energy.

Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Compressive Hyperspherical Energy Minimization.

Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song

CoRR, 2019

2018

Deformable Part Networks.

Ziming Zhang, Rongmei Lin, Alan Sullivan

CoRR, 2018

Learning towards Minimum Hyperspherical Energy.

Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU.

Rongmei Lin, Matthew D. Stanley, Mohammad M. Ghassemi, Shamim Nemati

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Decoupled Networks.

Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification.

Weiyang Liu, Zhiding Yu, Yandong Wen, Rongmei Lin, Meng Yang

Proceedings of the British Machine Vision Conference 2016, 2016