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Gaowei Wu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
- [i3]Wei Tao, Lei Bao, Sheng Long, Gaowei Wu, Qing Tao:
Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks. CoRR abs/2301.11546 (2023) - 2022
- [j14]Wei Tao
, Gao-wei Wu, Qing Tao
:
Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1107-1118 (2022) - 2021
- [j13]Yishan He, Jiajin Huang, Gaowei Wu, Jian Yang
:
Exploring highly reliable substructures in auto-reconstructions of a neuron. Brain Informatics 8(1): 17 (2021) - [j12]Bin Yang, Jiajin Huang, Gaowei Wu, Jian Yang
:
Classifying the tracing difficulty of 3D neuron image blocks based on deep learning. Brain Informatics 8(1): 25 (2021) - [c13]Wei Tao, Sheng Long, Gaowei Wu, Qing Tao:
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods. ICLR 2021 - [i2]Wei Tao, Sheng Long, Gaowei Wu, Qing Tao:
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods. CoRR abs/2102.07314 (2021) - 2020
- [j11]Wei Tao
, Zhisong Pan
, Gaowei Wu, Qing Tao
:
Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence. IEEE Trans. Cybern. 50(2): 835-845 (2020) - [j10]Wei Tao
, Zhisong Pan
, Gaowei Wu, Qing Tao
:
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2557-2568 (2020) - [i1]Wei Tao, Zhisong Pan, Gaowei Wu, Qing Tao:
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization. CoRR abs/2006.04340 (2020)
2010 – 2019
- 2018
- [j9]Qing Tao
, Gao-wei Wu, Dejun Chu:
Improving Sparsity and Scalability in Regularized Nonconvex Truncated-Loss Learning Problems. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2782-2793 (2018) - 2015
- [c12]Changliang Li, Bo Xu, Gaowei Wu, Saike He, Guanhua Tian, Yujun Zhou:
Parallel Recursive Deep Model for Sentiment Analysis. PAKDD (2) 2015: 15-26 - 2014
- [j8]Qing Tao, Qian-Kun Gao, DeJjn Chu, Gao-wei Wu:
Stochastic Learning via Optimizing the Variational Inequalities. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1769-1778 (2014) - [c11]Changliang Li, Bo Xu, Gaowei Wu, Tao Zhuang, Xiuying Wang, Wendong Ge:
Improving Word Embeddings via Combining with Complementary Languages. Canadian AI 2014: 313-318 - [c10]Changliang Li, Bo Xu, Gaowei Wu, Xiuying Wang, Wendong Ge, Yan Li:
Obtaining Better Word Representations via Language Transfer. CICLing (1) 2014: 128-137 - [c9]Changliang Li, Bo Xu, Gaowei Wu, Saike He, Guanhua Tian, Hongwei Hao:
Recursive Deep Learning for Sentiment Analysis over Social Data. WI-IAT (1) 2014: 180-185 - 2013
- [c8]Jiaming Xu, Pengcheng Liu, Gaowei Wu, Zhengya Sun, Bo Xu, Hongwei Hao:
A Fast Matching Method Based on Semantic Similarity for Short Texts. NLPCC 2013: 299-309 - 2012
- [c7]Qing Tao, Kang Kong, Dejun Chu, Gao-wei Wu:
Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses. ECML/PKDD (1) 2012: 537-552 - 2011
- [j7]Songbo Tan, Yuefen Wang, Gaowei Wu:
Adapting centroid classifier for document categorization. Expert Syst. Appl. 38(8): 10264-10273 (2011)
2000 – 2009
- 2009
- [c6]Songbo Tan, Gaowei Wu, Xueqi Cheng:
Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement. ECML/PKDD (2) 2009: 458-472 - 2008
- [j6]Qing Tao, Gao-wei Wu, Jue Wang:
A general soft method for learning SVM classifiers with L1-norm penalty. Pattern Recognit. 41(3): 939-948 (2008) - [c5]Jin Zhang, Xueqi Cheng, Gaowei Wu, Hongbo Xu:
AdaSum: an adaptive model for summarization. CIKM 2008: 901-910 - [c4]Songbo Tan, Yuefen Wang, Gaowei Wu, Xueqi Cheng:
Using unlabeled data to handle domain-transfer problem of semantic detection. SAC 2008: 896-903 - 2007
- [j5]Qing Tao, Gao-wei Wu, Jue Wang:
Learning linear PCA with convex semi-definite programming. Pattern Recognit. 40(10): 2633-2640 (2007) - [c3]Songbo Tan, Gaowei Wu, Huifeng Tang, Xueqi Cheng:
A novel scheme for domain-transfer problem in the context of sentiment analysis. CIKM 2007: 979-982 - 2006
- [j4]Qing Tao, Gao-wei Wu, Jue Wang:
The theoretical analysis of FDA and applications. Pattern Recognit. 39(6): 1199-1204 (2006) - [c2]Qing Tao, Gao-wei Wu, Jue Wang:
One-Class Strategies for Security Information Detection. WISI 2006: 171-172 - 2005
- [j3]Qing Tao, Gao-wei Wu, Jue Wang:
A new maximum margin algorithm for one-class problems and its boosting implementation. Pattern Recognit. 38(7): 1071-1077 (2005) - [j2]Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang:
Posterior probability support vector Machines for unbalanced data. IEEE Trans. Neural Networks 16(6): 1561-1573 (2005) - [c1]Qing Tao, Gao-wei Wu, Fei-Yue Wang, Jue Wang:
Some Marginal Learning Algorithms for Unsupervised Problems. ISI 2005: 395-401 - 2004
- [j1]Qing Tao, Gao-wei Wu, Jue Wang:
A generalized S-K algorithm for learning v-SVM classifiers. Pattern Recognit. Lett. 25(10): 1165-1171 (2004)
Coauthor Index
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