Publications

Journal Articles

• Zhilin Zhao and Longbing Cao, Weighting Non-IID Batches for Out-of-distribution Detection, in Mach. Learn., 2024.
• Zhilin Zhao, Longbing Cao, and Kun-Yu Lin, Revealing the Distributional Vulnerability of Discriminators by Implicit Generators, in IEEE Trans. Pattern Anal. Mach. Intell., 2023.
• Zhilin Zhao, Longbing Cao, and Kun-Yu Lin, Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection, in IEEE Trans. Pattern Anal. Mach. Intell., 2023.
• Zhilin Zhao, Longbing Cao, and Kun-Yu Lin, Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data, in IEEE Trans. Neural Networks Learn. Syst., 2023.
• Zhilin Zhao, Longbing Cao, and Chang-Dong Wang, Gray learning from non-iid data with out-of-distribution samples, in IEEE Trans. Neural Networks Learn. Syst., 2023.
• Zhilin Zhao and Longbing Cao, Dual Representation Learning for Out-of-Distribution Detection, in Trans. Mach. Learn. Res., 2023.
• Zhilin Zhao, Chang-Dong Wang, Yuan-Yu Wan, and Jian-Huang Lai, Recommendation in feature space sphere, in Electron. Commer. Res. Appl., 2017.
• Zhilin Zhao, Chang-Dong Wang, and Jian-Huang Lai, AUI&GIV: recommendation with asymmetric user influence and global importance value, PloS one, 2016.
• Qi-Ying Hu, Zhilin Zhao, Chang-Dong Wang, and Jian-Huang Lai, An item orientated recommendation algorithm from the multi-view perspective, in Neurocomputing, 2017.
• Ling Huang, Zhilin Zhao, Chang-Dong Wang, Dong Huang, and Hong-Yang Chao, LSCD: low-rank and sparse cross-domain recommendation, Neurocomputing, 2019.

Conference Proceedings

• Zhilin Zhao, Longbing Cao, Xuhui Fan, and Wei-Shi Zheng, Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data, in NeurIPS, 2024.
• Zhilin Zhao and Longbing Cao, R-divergence for Estimating Model-oriented Distribution Discrepancy, in NeurIPS, 2023.
• Zhilin Zhao, Chang-Dong Wang, Kun-Yun Lin, and Jian-Huang Lai, Missing Value Learning, in CIKM, 2017.
• Zhilin Zhao, Ling Huang, Chang-Dong Wang, and Dong Huang, Low-Rank and Sparse Cross-Domain Recommendation Algorithm, in DASFAA, 2018.
• Zhilin Zhao, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, and Philip S. Yu, Low-Rank and Sparse Matrix Completion for Recommendation, in ICONIP, 2017.
• Zhilin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai, and Dong Huang, FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization, in IJCNN, 2016.
• Zhilin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Zi-Wei Huang, and Jian-Huang Lai, Pipeline Item-Based Collaborative Filtering Based on MapReduce, in BDCloud, 2015.
• Yang Yang, Zhilin Zhao, and Longbing Cao, Deep spectral copula mechanisms modeling coupled and volatile multivariate time series, in DSAA, 2023.
• Kun-Yu Lin, Chang-Dong Wang, Yu-Qin Meng, and Zhilin Zhao, Multi-view unit intact space learning, in KSEM, 2017.