Pipeline Item-Based Collaborative Filtering Based on MapReduce. - Zhi-Lin Zhao 001; Chang-Dong Wang 001; Yuan-Yu Wan; Zi-Wei Huang; Jian-Huang Lai (BDCloud, 2015)

FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization. - Zhi-Lin Zhao 001; Chang-Dong Wang 001; Yuan-Yu Wan; Jian-Huang Lai; Dong Huang 001 (IJCNN, 2016)

Missing Value Learning. - Zhi-Lin Zhao 001; Chang-Dong Wang 001; Kun-Yu Lin; Jian-Huang Lai (CIKM, 2017)

Low-Rank and Sparse Matrix Completion for Recommendation. - Zhi-Lin Zhao 001; Ling Huang 002; Chang-Dong Wang 001; Jian-Huang Lai; Philip S. Yu (ICONIP (5), 2017)

Multi-view Unit Intact Space Learning. - Kun-Yu Lin; Chang-Dong Wang 001; Yu-Qin Meng; Zhi-Lin Zhao 001 (KSEM, 2017)

Recommendation in feature space sphere. - Zhi-Lin Zhao 001; Chang-Dong Wang 001; Yuan-Yu Wan; Jian-Huang Lai (Electron. Commer. Res. Appl., 2017)

An item orientated recommendation algorithm from the multi-view perspective. - Qi-Ying Hu; Zhi-Lin Zhao 001; Chang-Dong Wang 001; Jian-Huang Lai (Neurocomputing, 2017)

Low-Rank and Sparse Cross-Domain Recommendation Algorithm. - Zhi-Lin Zhao 001; Ling Huang 002; Chang-Dong Wang 001; Dong Huang 001 (DASFAA (1), 2018)

LSCD: Low-rank and sparse cross-domain recommendation. - Ling Huang 002; Zhi-Lin Zhao 001; Chang-Dong Wang 001; Dong Huang 001; Hong-Yang Chao (Neurocomputing, 2019)

Revealing Distributional Vulnerability of Explicit Discriminators by Implicit Generators. - Zhilin Zhao 001; Longbing Cao; Kun-Yu Lin (CoRR, 2021)

Shallow and Deep Non-IID Learning on Complex Data. - Longbing Cao; Philip S. Yu; Zhilin Zhao 001 (KDD, 2022)

Coupling Online-Offline Learning for Multi-distributional Data Streams. - Zhilin Zhao 001; Longbing Cao; Yuan-Yu Wan (CoRR, 2022)

Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection. - Zhilin Zhao 001; Longbing Cao; Kun-Yu Lin (CoRR, 2022)

Label and Distribution-discriminative Dual Representation Learning for Out-of-Distribution Detection. - Zhilin Zhao 001; Longbing Cao (CoRR, 2022)

Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series. - Yang Yang 034; Zhilin Zhao 001; Longbing Cao (DSAA, 2023)

R-divergence for Estimating Model-oriented Distribution Discrepancy. - Zhilin Zhao 001; Longbing Cao (NeurIPS, 2023)

Out-of-Distribution Knowledge Distillation via Confidence Amendment. - Zhilin Zhao 001; Longbing Cao; Yixuan Zhang (CoRR, 2023)

Dual Representation Learning for Out-of-distribution Detection. - Zhilin Zhao 001; Longbing Cao (Trans. Mach. Learn. Res., 2023)

Revealing the Distributional Vulnerability of Discriminators by Implicit Generators. - Zhi-Lin Zhao 001; Longbing Cao; Kun-Yu Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection. - Zhilin Zhao 001; Longbing Cao; Kun-Yu Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data. - Zhilin Zhao 001; Longbing Cao; Xuhui Fan 001; Wei-Shi Zheng 001 (NeurIPS, 2024)

Rethinking CLIP-based Video Learners in Cross-Domain Open-Vocabulary Action Recognition. - Kun-Yu Lin; Henghui Ding; Jiaming Zhou; Yi-Xing Peng; Zhilin Zhao 001; Chen Change Loy; Wei-Shi Zheng 001 (CoRR, 2024)

ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks. - Zhangkai Wu; Xuhui Fan 001; Jin Li 002; Zhilin Zhao 001; Hui Chen 026; Longbing Cao (CoRR, 2024)

Federated Neural Nonparametric Point Processes. - Hui Chen 026; Hengyu Liu 001; Yaqiong Li; Xuhui Fan 001; Zhilin Zhao 001; Feng Zhou 011; Christopher John Quinn; Longbing Cao (CoRR, 2024)

Weighting non-IID batches for out-of-distribution detection. - Zhi-Lin Zhao 001; Longbing Cao (Mach. Learn., 2024)

Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data. - Zhi-Lin Zhao 001; Longbing Cao; Kun-Yu Lin (IEEE Trans. Neural Networks Learn. Syst., 2024)

Mixture of Online and Offline Experts for Non-Stationary Time Series. - Zhilin Zhao 001; Longbing Cao; Yuan-Yu Wan (AAAI, 2025)

Out-of-distribution detection by regaining lost clues. - Zhilin Zhao 001; Longbing Cao; Philip S. Yu (Artif. Intell., 2025)

Escaping posterior collapse: Enhancing variational autoencoders with vine copulas. - Dianlong You; Xiaoyi Ge; Chuan Lu; Dongyan Wang; Shunfu Jin; Zhilin Zhao 001 (Inf. Sci., 2025)

Gray Learning From Non-IID Data With Out-of-Distribution Samples. - Zhi-Lin Zhao 001; Longbing Cao; Chang-Dong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Exploring the Limits of Vision-Language-Action Manipulations in Cross-task Generalization. - Jiaming Zhou; Ke Ye; Jiayi Liu; Teli Ma; Zifan Wang; Ronghe Qiu; Kun-Yu Lin; Zhilin Zhao 001; Junwei Liang 001 (CoRR, 2025)