Zhi-Lin Zhao

According to our database, Zhi-Lin Zhao authored at least 26 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data.

Zhi-Lin Zhao, Longbing Cao, Kun-Yu Lin

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Weighting non-IID batches for out-of-distribution detection.

Zhi-Lin Zhao, Longbing Cao

Mach. Learn., October, 2024

Federated Neural Nonparametric Point Processes.

Hui Chen, Hengyu Liu, Yaqiong Li, Xuhui Fan, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao

CoRR, 2024

ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks.

Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao

CoRR, 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, Chen Change Loy, Wei-Shi Zheng

CoRR, 2024

2023

Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection.

Zhilin Zhao, Longbing Cao, Kun-Yu Lin

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Revealing the Distributional Vulnerability of Discriminators by Implicit Generators.

Zhi-Lin Zhao, Longbing Cao, Kun-Yu Lin

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Dual Representation Learning for Out-of-distribution Detection.

Zhilin Zhao, Longbing Cao

Trans. Mach. Learn. Res., 2023

Out-of-Distribution Knowledge Distillation via Confidence Amendment.

Zhilin Zhao, Longbing Cao, Yixuan Zhang

CoRR, 2023

R-divergence for Estimating Model-oriented Distribution Discrepancy.

Zhilin Zhao, Longbing Cao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Spectral Copula Mechanisms Modeling Coupled and Volatile Multivariate Time Series.

Yang Yang, Zhilin Zhao, Longbing Cao

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Label and Distribution-discriminative Dual Representation Learning for Out-of-Distribution Detection.

Zhilin Zhao, Longbing Cao

CoRR, 2022

Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection.

Zhilin Zhao, Longbing Cao, Kun-Yu Lin

CoRR, 2022

Gray Learning from Non-IID Data with Out-of-distribution Samples.

Zhilin Zhao, Longbing Cao, Chang-Dong Wang

CoRR, 2022

Coupling Online-Offline Learning for Multi-distributional Data Streams.

Zhilin Zhao, Longbing Cao, Yuan-Yu Wan

CoRR, 2022

Shallow and Deep Non-IID Learning on Complex Data.

Longbing Cao, Philip S. Yu, Zhilin Zhao

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Revealing Distributional Vulnerability of Explicit Discriminators by Implicit Generators.

Zhilin Zhao, Longbing Cao, Kun-Yu Lin

CoRR, 2021

2019

LSCD: Low-rank and sparse cross-domain recommendation.

Ling Huang, Zhi-Lin Zhao, Chang-Dong Wang, Dong Huang, Hong-Yang Chao

Neurocomputing, 2019

2018

Low-Rank and Sparse Cross-Domain Recommendation Algorithm.

Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Dong Huang

Proceedings of the Database Systems for Advanced Applications, 2018

2017

An item orientated recommendation algorithm from the multi-view perspective.

Qi-Ying Hu, Zhi-Lin Zhao, Chang-Dong Wang, Jian-Huang Lai

Neurocomputing, 2017

Recommendation in feature space sphere.

Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai

Electron. Commer. Res. Appl., 2017

Multi-view Unit Intact Space Learning.

Kun-Yu Lin, Chang-Dong Wang, Yu-Qin Meng, Zhi-Lin Zhao

Proceedings of the Knowledge Science, Engineering and Management, 2017

Low-Rank and Sparse Matrix Completion for Recommendation.

Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Missing Value Learning.

Zhi-Lin Zhao, Chang-Dong Wang, Kun-Yu Lin, Jian-Huang Lai

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization.

Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai, Dong Huang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Pipeline Item-Based Collaborative Filtering Based on MapReduce.

Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Zi-Wei Huang, Jian-Huang Lai

Proceedings of the Fifth IEEE International Conference on Big Data and Cloud Computing, 2015