[1] Shi W, Chang Y, Gu B. Double momentum method for lower-level constrained bilevel optimization. ICML 24. (CCF A)
[2] Wu H, Shi W, Zhang C, et al. Self-Adaptive Perturbation Radii for Adversarial Training. KDD 23. (CCF A)
[3] Zhang C, Shi W, Luo L, et al. Doubly robust AUC optimization against noisy and adversarial samples. KDD 23. (CCF A)
[4] Xiong Z, Shi W, Gu B. End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks. KDD 22. (CCF A)
[5] Shi W, Gao H, Gu B. Gradient-free method for heavily constrained nonconvex optimization. ICML 22. (CCF A)
[6] Shi W, Gu B, Li X, et al. Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. Machine Learning, 2021. (CCF B)
[7] Shi W, Gu B. Improved penalty method via doubly stochastic gradients for bilevel hyperparameter optimization. AAAI 21. (CCF A)
[8] Shi W, Sheng V S, Li X, et al. Semi-supervised multi-label learning from crowds via deep sequential generative model. KDD 20. (CCF A)
[9] Shi W, Gu B, Li X, et al. Quadruply stochastic gradient method for large scale nonlinear semi-supervised ordinal regression AUC optimization. AAAI 20. (CCF A)
[10] Shi W, Geng X, Li X, et al. Quadruply Stochastic Gradients for Large-Scale Nonlinear Semi-Supervised AUC Optimization. IJCAI 2019. (CCF A)
