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2020 – today
- 2024
[j4]Shaohua Wang, Wanli Shi:
Deep Learning Driven Human Posture Location in Physical Education Teaching. J. Multim. Inf. Syst. 11(1): 45-56 (2024)- [c13]Yajing Fan, Wanli Shi, Yi Chang, Bin Gu:
Fast and Adversarial Robust Kernelized SDU Learning. AISTATS 2024: 1153-1161 - [c12]Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu:
Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization. AISTATS 2024: 1162-1170 - [c11]Wanli Shi, Yi Chang, Bin Gu:
Double Momentum Method for Lower-Level Constrained Bilevel Optimization. ICML 2024 - [i5]Wanli Shi, Yi Chang, Bin Gu:
Double Momentum Method for Lower-Level Constrained Bilevel Optimization. CoRR abs/2406.17386 (2024) - [i4]Wanli Shi, Hongchang Gao, Bin Gu:
Gradient-Free Method for Heavily Constrained Nonconvex Optimization. CoRR abs/2409.00459 (2024) - 2023
- [c10]Huimin Wu
, Wanli Shi, Chenkang Zhang, Bin Gu:
Self-Adaptive Perturbation Radii for Adversarial Training. KDD 2023: 2570-2581 - [c9]Chenkang Zhang, Wanli Shi, Lei Luo, Bin Gu:
Doubly Robust AUC Optimization against Noisy and Adversarial Samples. KDD 2023: 3195-3205 - 2022
- [c8]Wanli Shi, Hongchang Gao, Bin Gu:
Gradient-Free Method for Heavily Constrained Nonconvex Optimization. ICML 2022: 19935-19955 - [c7]Ziran Xiong, Wanli Shi, Bin Gu:
End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks. KDD 2022: 2140-2150 - 2021
- [j3]Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang:
Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. Mach. Learn. 110(8): 2005-2033 (2021) - [j2]Bin Gu, Xiang Geng, Wanli Shi, Yingying Shan, Yufang Huang, Zhijie Wang, Guansheng Zheng:
Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms. Pattern Recognit. 109: 107592 (2021) - [j1]Bin Gu, Xiang Geng, Xiang Li, Wanli Shi, Guansheng Zheng, Cheng Deng, Heng Huang:
Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3677-3689 (2021) - [c6]Wanli Shi, Bin Gu:
Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization. AAAI 2021: 9621-9629 - [c5]Wanli Shi, Guomiao Zhou, Zehui Wu, Huiyong Zhang:
Deepbug: Bug Injection in Depth. EITCE 2021: 713-718 - 2020
- [c4]Wanli Shi, Bin Gu, Xiang Li, Heng Huang:
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. AAAI 2020: 5734-5741 - [c3]Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu:
Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model. KDD 2020: 1141-1149
2010 – 2019
- 2019
- [c2]Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang:
Scalable Semi-Supervised SVM via Triply Stochastic Gradients. IJCAI 2019: 2364-2370 - [c1]Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang:
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. IJCAI 2019: 3418-3424 - [i3]Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang:
Scalable Semi-Supervised SVM via Triply Stochastic Gradients. CoRR abs/1907.11584 (2019) - [i2]Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang:
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. CoRR abs/1907.12416 (2019) - [i1]Wanli Shi, Bin Gu, Xiang Li, Heng Huang:
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. CoRR abs/1912.11193 (2019)
Coauthor Index
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