Geng Zhan - RankMe

13 papers Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	From Long to Short: LLMs Excel at Trimming Own Reasoning Chains. CoRR Wei Han, Geng Zhan, Sicheng Yu, Chenyu Wang, Bryan Hooi
2025	J	`jnl`	JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation. CoRR Kai Liu, Jungang Li, Yuchong Sun, Shengqiong Wu, Jianzhang Gao, Daoan Zhang, Wei Zhang, Sheng Jin, Sicheng Yu, Geng Zhan, Jiayi Ji, Fan Zhou, Liang Zheng, Shuicheng Yan, Hao Fei, Tat-Seng Chua
2024	J	`jnl`	How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks. CoRR Dongang Wang, Peilin Liu, Hengrui Wang, Heidi Beadnall, Kain Kyle, Linda Ly, Mariano Cabezas, Geng Zhan, Ryan Sullivan, Tom Weidong Cai, Wanli Ouyang, Fernando Calamante, Michael Barnett, Chenyu Wang
2024	J	`jnl`	Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. Artif. Intell. Medicine Lei Bai, Dongang Wang, Hengrui Wang, Michael Barnett, Mariano Cabezas, Weidong Cai, Fernando Calamante, Kain Kyle, Dongnan Liu, Linda Ly, Aria Nguyen, Chun-Chien Shieh, Ryan Sullivan, Geng Zhan, Wanli Ouyang, Chenyu Wang
2023	J	`jnl`	A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis. npj Digit. Medicine Michael Barnett, Dongang Wang, Heidi Beadnall, Antje Bischof, David Brunacci, Helmut Butzkueven, J. William L. Brown, Mariano Cabezas, Tilak Das, Tej Dugal, Daniel Guilfoyle, Alexander Klistorner, Stephen Krieger, Kain Kyle, Linda Ly, Lynette Masters, Andy Shieh, Zihao Tang, Anneke van der Walt, Kayla Ward, Heinz Wiendl, Geng Zhan, Robert Zivadinov, Yael Barnett, Chenyu Wang
2023	—	`conf`	Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Geng Zhan, Jiajun Deng, Mariano Cabezas, Wanli Ouyang, Michael Barnett, Chenyu Wang
2023	J	`jnl`	Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training. CoRR Lei Bai, Dongang Wang, Michael Barnett, Mariano Cabezas, Weidong Cai, Fernando Calamante, Kain Kyle, Dongnan Liu, Linda Ly, Aria Nguyen, Chun-Chien Shieh, Ryan Sullivan, Hengrui Wang, Geng Zhan, Wanli Ouyang, Chenyu Wang
2022	J	`jnl`	MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning. CoRR Dongnan Liu, Mariano Cabezas, Dongang Wang, Zihao Tang, Lei Bai, Geng Zhan, Yuling Luo, Kain Kyle, Linda Ly, James Yu, Chun-Chien Shieh, Aria Nguyen, Ettikan Kandasamy Karuppiah, Ryan Sullivan, Fernando Calamante, Michael Barnett, Wanli Ouyang, Weidong Cai, Chenyu Wang
2021	J	`jnl`	Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Zhaocheng He, Bowen Du, Liang Lin
2020	J	`jnl`	Scope Head for Accurate Localization in Object Detection. CoRR Geng Zhan, Dan Xu, Guo Lu, Wei Wu, Chunhua Shen, Wanli Ouyang
2019	J	`jnl`	ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction. CoRR Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Liang Lin
2019	J	`jnl`	Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. IEEE Access Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu
2019	J	`jnl`	Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition. CoRR Chengyu Guo, Jingyun Liang, Geng Zhan, Zhong Liu, Matti Pietikäinen, Li Liu