Qiuling Suo

According to our database, Qiuling Suo authored at least 27 papers between 2016 and 2023.

Collaborative distances:

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

2023

Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning.

Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Learning to Learn Task Transformations for Improved Few-Shot Classification.

Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation.

Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Meta-learning without data via Wasserstein distributionally-robust model fusion.

Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution.

Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao

Proceedings of the International Conference on Machine Learning, 2022

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.

Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

MetaTP: Traffic Prediction with Unevenly-Distributed Road Sensing Data via Fast Adaptation.

Weida Zhong, Qiuling Suo, Abhishek Gupta, Xiaowei Jia, Chunming Qiao, Lu Su

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values.

Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, Lu Su

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness.

Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Learning Distance Metrics from Probabilistic Information.

Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang

ACM Trans. Knowl. Discov. Data, 2020

TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning.

Qiuling Suo, Jingyuan Chou, Weida Zhong, Aidong Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning.

Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, Aidong Zhang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A Reliability-Aware Vehicular Crowdsensing System for Pothole Profiling.

Weida Zhong, Qiuling Suo, Fenglong Ma, Yunfei Hou, Abhishek Gupta, Chunming Qiao, Lu Su

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Wave2Vec: Deep representation learning for clinical temporal data.

Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang

Neurocomputing, 2019

Metric Learning on Healthcare Data with Incomplete Modalities.

Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Recurrent Imputation for Multivariate Time Series with Missing Values.

Qiuling Suo, Liuyi Yao, Guangxu Xun, Jianhui Sun, Aidong Zhang

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018

An Attention-based Recurrent Neural Networks Framework for Health Data Analysis.

Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Agostino Gnasso, Giuseppe Tradigo, Pierangelo Veltri

Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Uncorrelated Patient Similarity Learning.

Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Risk Prediction on Electronic Health Records with Prior Medical Knowledge.

Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Metric Learning from Probabilistic Labels.

Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression.

Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang

Proceedings of the IEEE International Conference on Data Mining, 2018

A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning.

Ye Yuan, Guangxu Xun, Fenglong Ma, Qiuling Suo, Hongfei Xue, Kebin Jia, Aidong Zhang

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

Wave2Vec: Learning Deep Representations for Biosignals.

Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Personalized disease prediction using a CNN-based similarity learning method.

Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks.

Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso

Proceedings of the AMIA 2017, 2017

2016

Risk Factor Analysis Based on Deep Learning Models.

Qiuling Suo, Hongfei Xue, Jing Gao, Aidong Zhang

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

Feature Selection Model for Diagnosis, Electronic Medical Records and Geographical Data Correlation.

Giovanni Canino, Qiuling Suo, Pietro Hiram Guzzi, Giuseppe Tradigo, Aidong Zhang, Pierangelo Veltri

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016