Qiuling Suo

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 30

Top Topics

Metric Learning

Top Venues

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Publications

Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao
MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. CVPR (2023)
Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao
Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang
Learning to Learn Task Transformations for Improved Few-Shot Classification. SDM (2023)
Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao
Meta-learning without data via Wasserstein distributionally-robust model fusion. UAI (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. CoRR (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. ICML (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. ECCV (20) (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. CoRR (2022)
Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. ICCV (2021)
Weida Zhong, Qiuling Suo, Abhishek Gupta, Xiaowei Jia, Chunming Qiao, Lu Su
MetaTP: Traffic Prediction with Unevenly-Distributed Road Sensing Data via Fast Adaptation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (3) (2021)
Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. CoRR (2021)
Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, Lu Su
Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values. ICDCS (2021)
Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang
Learning Distance Metrics from Probabilistic Information. ACM Trans. Knowl. Discov. Data 14 (5) (2020)
Qiuling Suo, Jingyuan Chou, Weida Zhong, Aidong Zhang
TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning. KDD (2020)
Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, Aidong Zhang
GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning. IEEE BigData (2020)
Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang
Wave2Vec: Deep representation learning for clinical temporal data. Neurocomputing 324 (2019)
Weida Zhong, Qiuling Suo, Fenglong Ma, Yunfei Hou, Abhishek Gupta, Chunming Qiao, Lu Su
A Reliability-Aware Vehicular Crowdsensing System for Pothole Profiling. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (4) (2019)
Qiuling Suo, Liuyi Yao, Guangxu Xun, Jianhui Sun, Aidong Zhang
Recurrent Imputation for Multivariate Time Series with Missing Values. ICHI (2019)
Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang
Metric Learning on Healthcare Data with Incomplete Modalities. IJCAI (2019)
Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang
Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. ICDM (2018)
Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang
Risk Prediction on Electronic Health Records with Prior Medical Knowledge. KDD (2018)
Ye Yuan, Guangxu Xun, Fenglong Ma, Qiuling Suo, Hongfei Xue, Kebin Jia, Aidong Zhang
A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning. BHI (2018)
Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang
Metric Learning from Probabilistic Labels. KDD (2018)
Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Agostino Gnasso, Giuseppe Tradigo, Pierangelo Veltri
An Attention-based Recurrent Neural Networks Framework for Health Data Analysis. SEBD (2018)
Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang
Uncorrelated Patient Similarity Learning. SDM (2018)
Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao
Personalized disease prediction using a CNN-based similarity learning method. BIBM (2017)
Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso
A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks. AMIA (2017)
Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang
Wave2Vec: Learning Deep Representations for Biosignals. ICDM (2017)
Giovanni Canino, Qiuling Suo, Pietro Hiram Guzzi, Giuseppe Tradigo, Aidong Zhang, Pierangelo Veltri
Feature Selection Model for Diagnosis, Electronic Medical Records and Geographical Data Correlation. BCB (2016)
Qiuling Suo, Hongfei Xue, Jing Gao, Aidong Zhang
Risk Factor Analysis Based on Deep Learning Models. BCB (2016)