代表性论著 | Zhanqiu Zhang, Jianyu Cai, Jie Wang*, Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion, Advances in Neural Information Processing Systems, 2020. Qi Zhou, Yufei Kuang, Zherui Qiu, Houqiang Li, Jie Wang*, Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method. Advances in Neural Information Processing Systems, 2020. Jie Wang*, Zhanqiu Zhang, Jieping Ye, Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets, Journal of Machine Learning Research, 2019, 20(163):1−42.. Jie Wang; Peter Wonka; Jieping Ye*, Lasso Screening Rules via Dual
Polytope Projection, Journal of Machine Learning Research, 2015, 16(1): 1063~1101. Jie Wang; Jieping Ye*, Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection, Advances in Neural Information Processing Systems, 2015. Jie Wang; Wei Fan; Jieping Ye*, Fused Lasso Screening Rules via the Monotonicity of Subdifferentials, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1806~1820 Jie Wang; Jieping Ye*, Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets, Advances in Neural Information Processing Systems, 2014. Jie Wang; Xiaoqiang Wang*, VCells: Simple and Efficient Superpixels Using Edge-Weighted Centroidal Voronoi Tessellations, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(6): 1241~1247.
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