Rongmei Lin - RankMe

22 papers A* 5A 3Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning. CoRR Xintong Li, Sha Li, Rongmei Lin, Hongye Jin, Linwei Li, Hejie Cui, Sarah Zhang, Chia-Yuan Chang, Kewei Cheng, Besnik Fetahu, Priyanka Nigam, Jingbo Shang, Bing Yin
2025	—	`conf`	Train a Unified Multimodal Data Quality Classifier with Synthetic Data. EMNLP (Findings) Weizhi Wang, Rongmei Lin, Shiyang Li, Colin Lockard, Ritesh Sarkhel, Sanket Lokegaonkar, Jingbo Shang, Xifeng Yan, Nasser Zalmout, Xian Li
2025	J	`jnl`	Train a Unified Multimodal Data Quality Classifier with Synthetic Data. CoRR Weizhi Wang, Rongmei Lin, Shiyang Li, Colin Lockard, Ritesh Sarkhel, Sanket Lokegaonkar, Jingbo Shang, Xifeng Yan, Nasser Zalmout, Xian Li
2023	—	`conf`	PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. ACL (Findings) Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li
2023	J	`jnl`	PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. CoRR Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li
2022	A	`conf`	Federated Pruning: Improving Neural Network Efficiency with Federated Learning. INTERSPEECH Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays
2022	J	`jnl`	Federated Pruning: Improving Neural Network Efficiency with Federated Learning. CoRR Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays
2021	A	`conf`	Learning with Hyperspherical Uniformity. AISTATS Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller
2021	J	`jnl`	Learning with Hyperspherical Uniformity. CoRR Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller
2021	A*	`conf`	Orthogonal Over-Parameterized Training. CVPR Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller
2021	A*	`conf`	PAM: Understanding Product Images in Cross Product Category Attribute Extraction. KDD Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong
2021	J	`jnl`	PAM: Understanding Product Images in Cross Product Category Attribute Extraction. CoRR Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong
2020	J	`jnl`	Orthogonal Over-Parameterized Training. CoRR Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song
2020	A*	`conf`	Regularizing Neural Networks via Minimizing Hyperspherical Energy. CVPR Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
2019	J	`jnl`	Compressive Hyperspherical Energy Minimization. CoRR Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
2018	—	`conf`	A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU. EMBC Rongmei Lin, Matthew D. Stanley, Mohammad M. Ghassemi, Shamim Nemati
2018	A*	`conf`	Decoupled Networks. CVPR Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song
2018	J	`jnl`	Decoupled Networks. CoRR Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song
2018	J	`jnl`	Deformable Part Networks. CoRR Ziming Zhang, Rongmei Lin, Alan Sullivan
2018	A*	`conf`	Learning towards Minimum Hyperspherical Energy. NeurIPS Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song
2018	J	`jnl`	Learning towards Minimum Hyperspherical Energy. CoRR Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song
2016	A	`conf`	Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. BMVC Weiyang Liu, Zhiding Yu, Yandong Wen, Rongmei Lin, Meng Yang