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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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