• 2018.8-2022.8，悉尼科技大学，工程与信息技术学院，博士学位（全日制）
• 2016.9-2018.6，中山大学，计算机学院，硕士学位（全日制）
• 2012.9-2016.6，中山大学，计算机学院，学士学位（全日制）

工作经历

• 2024.12至今，中山大学，计算机学院，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

赵知临，中山大学计算机学院研究员/副教授、博士生导师。主持国家海外高层次青年人才项目和国家自然科学基金面上项目。本科与硕士毕业于中山大学，博士毕业于澳大利亚悉尼科技大学，先后在悉尼科技大学和麦考瑞大学从事博士后研究。主要研究方向为外分布机器学习，聚焦模型在未知或不确定环境下的可靠性与泛化能力，在具身智能、大语言模型、极端天气预测及医疗辅助诊断等领域开展研究。以第一作者身份在 TPAMI、AIJ、NeurIPS 等国际顶级期刊与会议发表论文十余篇。

[TPAMI] Zhilin Zhao, Longbing Cao, Yixuan Zhang, Kun-Yu Lin, Wei-Shi Zheng. Distilling the Unknown to Unveil Certainty. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

[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.  

[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.

[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. Advances in Neural Information Processing Systems, pp. 1-28, 2024.

[NeurIPS] Zhilin Zhao，Longbing Cao. R-divergence for Estimating Model-oriented Distribution Discrepancy. Advances in 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.

[IJCAI] Zhilin Zhao, Longbing Cao, Philip S. Yu. Out-of-distribution Detection by Regaining Lost Clues. International Joint Conference on Artificial Intelligence，2025.