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Rongmei Lin
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2020 – today
- 2023
- [c10]Hejie Cui
, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li:
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. ACL (Findings) 2023: 2026-2041 - [i9]Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li:
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. CoRR abs/2306.01016 (2023) - 2022
- [c9]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. INTERSPEECH 2022: 1701-1705 - [i8]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. CoRR abs/2209.06359 (2022) - 2021
- [c8]Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller:
Learning with Hyperspherical Uniformity. AISTATS 2021: 1180-1188 - [c7]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller:
Orthogonal Over-Parameterized Training. CVPR 2021: 7251-7260 - [c6]Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong:
PAM: Understanding Product Images in Cross Product Category Attribute Extraction. KDD 2021: 3262-3270 - [i7]Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller:
Learning with Hyperspherical Uniformity. CoRR abs/2103.01649 (2021) - [i6]Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong:
PAM: Understanding Product Images in Cross Product Category Attribute Extraction. CoRR abs/2106.04630 (2021) - 2020
- [c5]Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng
Regularizing Neural Networks via Minimizing Hyperspherical Energy. CVPR 2020: 6916-6925 - [i5]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song:
Orthogonal Over-Parameterized Training. CoRR abs/2004.04690 (2020)
2010 – 2019
- 2019
- [i4]Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song:
Compressive Hyperspherical Energy Minimization. CoRR abs/1906.04892 (2019) - 2018
- [c4]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg
Decoupled Networks. CVPR 2018: 2771-2779 - [c3]Rongmei Lin, Matthew D. Stanley, Mohammad M. Ghassemi, Shamim Nemati:
A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU. EMBC 2018: 4927-4931 - [c2]Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song:
Learning towards Minimum Hyperspherical Energy. NeurIPS 2018: 6225-6236 - [i3]Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song:
Decoupled Networks. CoRR abs/1804.08071 (2018) - [i2]Ziming Zhang, Rongmei Lin, Alan Sullivan:
Deformable Part Networks. CoRR abs/1805.08808 (2018) - [i1]Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song:
Learning towards Minimum Hyperspherical Energy. CoRR abs/1805.09298 (2018) - 2016
- [c1]Weiyang Liu, Zhiding Yu, Yandong Wen, Rongmei Lin, Meng Yang:
Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. BMVC 2016
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