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2020 – today
- 2023
[j5]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): 14337-14352 (2023)- [c22]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: 24521-24531 - [c21]Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang:
Learning to Learn Task Transformations for Improved Few-Shot Classification. SDM 2023: 784-792 - 2022
- [c20]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: 221-238 - [c19]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao:
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. ICML 2022: 22985-22998 - [c18]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: 2045-2055 - [i3]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao:
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. CoRR abs/2207.07256 (2022) - [i2]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 abs/2209.01501 (2022) - 2021
- [j4]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): 141:1-141:28 (2021) - [c17]Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao:
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. ICCV 2021: 8927-8937 - [c16]Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, Lu Su:
Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values. ICDCS 2021: 707-717 - [i1]Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao:
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. CoRR abs/2109.14120 (2021) - 2020
- [j3]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): 53:1-53:33 (2020) - [c15]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: 798-807 - [c14]Qiuling Suo, Jingyuan Chou, Weida Zhong, Aidong Zhang:
TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning. KDD 2020: 1789-1799
2010 – 2019
- 2019
- [j2]Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang:
Wave2Vec: Deep representation learning for clinical temporal data. Neurocomputing 324: 31-42 (2019) - [j1]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): 160:1-160:26 (2019) - [c13]Qiuling Suo, Liuyi Yao, Guangxu Xun, Jianhui Sun, Aidong Zhang:
Recurrent Imputation for Multivariate Time Series with Missing Values. ICHI 2019: 1-3 - [c12]Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang:
Metric Learning on Healthcare Data with Incomplete Modalities. IJCAI 2019: 3534-3540 - 2018
- [c11]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: 206-209 - [c10]Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang:
Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. ICDM 2018: 477-486 - [c9]Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang:
Metric Learning from Probabilistic Labels. KDD 2018: 1541-1550 - [c8]Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang:
Risk Prediction on Electronic Health Records with Prior Medical Knowledge. KDD 2018: 1910-1919 - [c7]Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang:
Uncorrelated Patient Similarity Learning. SDM 2018: 270-278 - [c6]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 - 2017
- [c5]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 - [c4]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: 811-816 - [c3]Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang:
Wave2Vec: Learning Deep Representations for Biosignals. ICDM 2017: 1159-1164 - 2016
- [c2]Qiuling Suo, Hongfei Xue, Jing Gao, Aidong Zhang:
Risk Factor Analysis Based on Deep Learning Models. BCB 2016: 394-403 - [c1]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: 616-621
Coauthor Index
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last updated on 2024-10-01 21:38 CEST by the dblp team
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