教师简介
赵知临，副教授、博士生导师，入选国家高层次青年人才计划。
研究领域
主要集中于机器学习理论，特别是外分布检测、分布差异度量与泛化误差分析，以及这些理论在数据挖掘、计算机视觉与具身智能中的应用。
如果您对我的研究方向感兴趣，并希望与我共同学习与探索，欢迎博士生、硕士生以及优秀本科生加入实验室！如有意向，请随时与我联系。
注：尽管研究方向注重理论研究，但同时非常重视理论与实际应用的结合。我希望研究不仅在数学和算法层面有扎实的理论支撑，也能对现实问题产生实际的影响。因此，无论您更倾向于理论分析还是应用开发，都可以在这个研究方向中找到适合的切入点。
教育背景
2018.8-2022.8，悉尼科技大学，工程与信息技术学院，博士
2016.9-2018.6，jbo竞博电竞官方网站，jbo竞博电竞官方网站，硕士
2012.9-2016.6，jbo竞博电竞官方网站，jbo竞博电竞官方网站，学士
工作经历
2024.12至今，jbo竞博电竞官方网站，jbo竞博电竞官方网站，副教授
2023.5-2024.11，麦考瑞大学，科学与工程学院，博士后
2022.8-2023.5，悉尼科技大学，工程与信息技术学院，博士后
代表性论著
[TPAMI] Zhilin Zhao, Longbing Cao, Kun-Yu Lin. Revealing the Distributional Vulnerability of Discriminators by Implicit Generators. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 7, pp. 8888-8901, 2022.
[TPAMI] Zhilin Zhao, Longbing Cao, Kun-Yu Lin. Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 12, pp. 15743-15758, 2023.
[AI] Zhilin Zhao, Longbing Cao, Philip S. Yu. Out-of-distribution Detection by Regaining Lost Clues. Artificial Intelligence，vol. 339, pp. 104275, 2024.
[TMLR] Zhilin Zhao, Longbing Cao. Dual Representation Learning for Out-of-Distribution Detection. Transactions on Machine Learning Research, pp. 1-21, 2023.
[ML] Zhilin Zhao, Longbing Cao. Weighting Non-IID Batches for Out-of-distribution Detection. Machine Learning, vol. 113, no. 10, pp. 7371-7391, 2024.
[TNNLS] Zhilin Zhao, Longbing Cao, Kun-Yu Lin. Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data. IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 10, pp. 13777-13788, 2024.
[TNNLS] Zhilin Zhao, Longbing Cao, Chang-Dong Wang. Gray Learning from Non-iid Data with Out-of-distribution Samples. IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 1, pp. 1396-1409, 2025.
[NeurIPS] Zhilin Zhao，Longbing Cao, Xuhui Fan, Wei-Shi Zheng. Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data. Neural Information Processing Systems, pp. 1-28, 2024.
[NeurIPS] Zhilin Zhao，Longbing Cao. R-divergence for Estimating Model-oriented Distribution Discrepancy. Neural Information Processing Systems, pp. 1-19, 2023.
[AAAI] Zhilin Zhao, Longbing Cao, Yuanyu Wan，Mixture of Online and Offline Experts for Non-stationary Time Series. Association for the Advancement of Artificial Intelligence, pp. 1-8，2025.
