Linglong Qian - RankMe

20 papers A* 1Misc 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Toward large-scale lithium-ion battery energy storage systems: State of health estimation of battery clusters based on deep learning. Eng. Appl. Artif. Intell. Yihang Shen, Xin Lai, Linglong Qian, Dongxu Guo, Zhuo Li, Tonghui Li, Shuaiwei Liu, Kunyuan Sun, Xuebing Han, Yuejiu Zheng, Minggao Ouyang
2025	A*	`conf`	Deep Learning for Multivariate Time Series Imputation: A Survey. IJCAI Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen
2025	J	`jnl`	Federated Timeline Synthesis: Scalable and Private Methodology For Model Training and Deployment. CoRR Pawel Renc, Michal K. Grzeszczyk, Linglong Qian, Nassim Oufattole, Jeff Rasley, Arkadiusz Sitek
2025	J	`jnl`	How Deep is Your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. IEEE J. Biomed. Health Informatics Linglong Qian, Hugh Logan Ellis, Tao Wang, Jun Wang, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim
2025	J	`jnl`	METHOD: Modular Efficient Transformer for Health Outcome Discovery. CoRR Linglong Qian, Zina M. Ibrahim
2024	—	`conf`	Adaptive Bi-ventricle Surface Reconstruction from Cardiovascular Imaging. ShapeMI@MICCAI Yu Deng, Yiyang Xu, Linglong Qian, Anastasia Nasopoulou, Steven Williams, Michelle C. Williams, Steven A. Niederer, Kuberan Pushparajah, Alistair A. Young
2024	J	`jnl`	Fine-tuning - a Transfer Learning approach. CoRR Joseph Arul Raj, Linglong Qian, Zina M. Ibrahim
2024	J	`jnl`	How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. CoRR Linglong Qian, Tao Wang, Jun Wang, Hugh Logan Ellis, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim
2024	J	`jnl`	MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstruction. CoRR Yu Deng, Yiyang Xu, Linglong Qian, Charlène Alice Mauger, Anastasia Nasopoulou, Steven Williams, Michelle C. Williams, Steven A. Niederer, David E. Newby, Andrew D. McCulloch, Jeffrey H. Omens, Kuberan Pushparajah, Alistair A. Young
2024	J	`jnl`	Question answering systems for health professionals at the point of care - a systematic review. CoRR Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall
2024	J	`jnl`	Question answering systems for health professionals at the point of care - a systematic review. J. Am. Medical Informatics Assoc. Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall
2024	J	`jnl`	TSI-Bench: Benchmarking Time Series Imputation. CoRR Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen
2024	J	`jnl`	Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation. CoRR Linglong Qian, Zina M. Ibrahim, Richard J. B. Dobson
2024	J	`jnl`	Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation. CoRR Linglong Qian, Zina M. Ibrahim, Wenjie Du, Yiyuan Yang, Richard J. B. Dobson
2023	—	`conf`	Addressing Class Imbalance in Electronic Health Records Data Imputation. KDH@IJCAI Linglong Qian, Zina M. Ibrahim, Ao Zhang, Richard J. B. Dobson
2023	J	`jnl`	Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. CoRR Yuezhou Zhang, Amos A. Folarin, Judith Dineley, Pauline Conde, Valeria de Angel, Shaoxiong Sun, Yatharth Ranjan, Zulqarnain Rashid, Callum L. Stewart, Petroula Laiou, Heet Sankesara, Linglong Qian, Faith Matcham, Katie M. White, Carolin Oetzmann, Femke Lamers, Sara Siddi, Sara Simblett, Björn W. Schuller, Srinivasan Vairavan, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson, Nicholas Cummins, RADAR-CNS Consortium
2023	J	`jnl`	Knowledge Enhanced Conditional Imputation for Healthcare Time-series. CoRR Linglong Qian, Zina M. Ibrahim, Hugh Logan Ellis, Ao Zhang, Yuezhou Zhang, Tao Wang, Richard J. B. Dobson
2022	J	`jnl`	A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. IEEE J. Biomed. Health Informatics Zina M. Ibrahim, Daniel Bean, Thomas Searle, Linglong Qian, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson
2022	—	`conf`	Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation. STACOM@MICCAI Yu Deng, Yang Wen, Linglong Qian, Esther Puyol-Antón, Hao Xu, Kuberan Pushparajah, Zina M. Ibrahim, Richard J. B. Dobson, Alistair A. Young
2021	Misc	`conf`	EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation. DICTA Jun Wang, Yang Zhao, Linglong Qian, Xiaohan Yu, Yongsheng Gao