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ORCIDYing Wei 0001
Person information
- affiliation: Tencent, Guangdong, China
Other persons with the same name
- Ying Wei — disambiguation page
- Ying Wei 0002 — State University of New York at Stony Brook, Stony Brook, NY, USA
- Ying Wei 0003
![[0000-0001-5682-5974]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5682-5974")
— Department of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, China - Ying Wei 0004 — Shandong University, Jinan, China
- Ying Wei 0005 — School of Management, Jinan University, Guangzhou, Guangdong, China
- Ying Wei 0006 — Xiamen University, Tan Kah Kee College, Xiamen, China
- Ying Wei 0007 — Northeastern University, College of Information Science and Engineering, Shenyang, China
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2020 – today
- 2020
[j4]Jizu Huang, Chao Yang, Ying Wei:
Parallel Energy-Stable Solver for a Coupled Allen-Cahn and Cahn-Hilliard System. SIAM J. Sci. Comput. 42(5): C294-C312 (2020)- [j3]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. 29: 7834-7844 (2020) - [c21]Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li:
Graph Few-Shot Learning via Knowledge Transfer. AAAI 2020: 6656-6663 - [c20]Jiabo Chen, Qing Guo, Zixun Jiang, Huaqing Wang, Mingan Yu, Ying Wei:
Recognition of Hyperparathyroidism based on Transfer Learning. BIBM 2020: 2959-2961 - [c19]Zheng Li, Mukul Kumar, William Headden, Bing Yin, Ying Wei, Yu Zhang, Qiang Yang:
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages. EMNLP (1) 2020: 2290-2301 - [c18]Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang:
TranSlider: Transfer Ensemble Learning from Exploitation to Exploration. KDD 2020: 368-378 - [c17]Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang:
Self-Supervised Graph Transformer on Large-Scale Molecular Data. NeurIPS 2020 - [c16]Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang:
Adversarial Sparse Transformer for Time Series Forecasting. NeurIPS 2020 - [c15]Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang:
Fisher Deep Domain Adaptation. SDM 2020: 469-477 - [i16]Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang:
Fisher Deep Domain Adaptation. CoRR abs/2003.05636 (2020) - [i15]Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan:
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR abs/2005.01577 (2020) - [i14]Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang:
GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data. CoRR abs/2007.02835 (2020) - [i13]Jizu Huang, Chao Yang, Ying Wei:
Parallel energy-stable solver for a coupled Allen-Cahn and Cahn-Hilliard system. CoRR abs/2007.04560 (2020) - [i12]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/2007.07222 (2020) - [i11]Huaxiu Yao, Longkai Huang, Ying Wei, Li Tian, Junzhou Huang, Zhenhui Li:
Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning. CoRR abs/2007.13040 (2020)
2010 – 2019
- 2019
- [j2]Ying Wei, Chao Yang, Jizu Huang:
Parallel energy-stable phase field crystal simulations based on domain decomposition methods. Comput. Phys. Commun. 234: 26-39 (2019) - [c14]Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li:
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification. AAAI 2019: 4253-4260 - [c13]Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang:
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. EMNLP/IJCNLP (1) 2019: 4589-4599 - [c12]Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li:
Hierarchically Structured Meta-learning. ICML 2019: 7045-7054 - [c11]Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang:
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) 2019: 360-368 - [c10]Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li:
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. WWW 2019: 2181-2191 - [i10]Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li:
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. CoRR abs/1901.08518 (2019) - [i9]Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li:
Hierarchically Structured Meta-learning. CoRR abs/1905.05301 (2019) - [i8]Ying Wei, Peilin Zhao, Huaxiu Yao, Junzhou Huang:
Transferable Neural Processes for Hyperparameter Optimization. CoRR abs/1909.03209 (2019) - [i7]Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li:
Graph Few-shot Learning via Knowledge Transfer. CoRR abs/1910.03053 (2019) - [i6]Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang:
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. CoRR abs/1910.14192 (2019) - [i5]Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/1911.07293 (2019) - 2018
- [c9]Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang:
Transferable Contextual Bandit for Cross-Domain Recommendation. AAAI 2018: 3619-3626 - [c8]Zheng Li, Ying Wei, Yu Zhang, Qiang Yang:
Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification. AAAI 2018: 5852-5859 - [c7]Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang:
Transfer Learning via Learning to Transfer. ICML 2018: 5072-5081 - [c6]Yu Zhang, Ying Wei, Qiang Yang:
Learning to Multitask. NeurIPS 2018: 5776-5787 - [i4]Yu Zhang, Ying Wei, Qiang Yang:
Learning to Multitask. CoRR abs/1805.07541 (2018) - [i3]Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li, Qiang Yang:
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. CoRR abs/1811.10999 (2018) - 2017
- [c5]Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang:
End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification. IJCAI 2017: 2237-2243 - [c4]Bo Liu, Ying Wei, Yu Zhang, Qiang Yang:
Deep Neural Networks for High Dimension, Low Sample Size Data. IJCAI 2017: 2287-2293 - [i2]Ying Wei, Chao Yang, Jizu Huang:
Parallel energy-stable phase field crystal simulations based on domain decomposition methods. CoRR abs/1703.01202 (2017) - [i1]Ying Wei, Yu Zhang, Qiang Yang:
Learning to Transfer. CoRR abs/1708.05629 (2017) - 2016
- [j1]Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang:
Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search. ACM Trans. Knowl. Discov. Data 10(4): 36:1-36:28 (2016) - [c3]Ying Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, Qiang Yang:
Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning. AAAI 2016: 1338-1344 - [c2]Ying Wei, Yu Zheng, Qiang Yang:
Transfer Knowledge between Cities. KDD 2016: 1905-1914 - 2014
- [c1]Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang:
Scalable heterogeneous translated hashing. KDD 2014: 791-800
Coauthor Index
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