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报考该导师研究生的方式

欢迎你报考詹大为老师的研究生，报考有以下方式：

1、参加西南交通大学暑期夏令营活动，提交导师意向时，选择詹大为老师，你的所有申请信息将发送给詹大为老师，老师看到后将和你取得联系，点击此处参加夏令营活动

2、如果你能获得所在学校的推免生资格，欢迎通过推免方式申请詹大为老师研究生，可以通过系统的推免生预报名系统提交申请，并选择意向导师为詹大为老师，老师看到信息后将和你取得联系，点击此处推免生预报名

3、参加全国硕士研究生统一招生考试报考詹大为老师招收的专业和方向，进入复试后提交导师意向时选择詹大为老师。

4、如果你有兴趣攻读詹大为老师博士研究生，可以通过申请考核或者统一招考等方式报考该导师博士研究生。

詹大为

硕士生导师

职称：副教授

所在单位：计算机与人工智能学院

学位：工学博士学位

邮箱：

报考该导师

个人简介

詹大为，工学博士，副教授，硕士生导师，2012年于华中科技大学获工学学士学位， 2018年于华中科技大学获工学博士学位。主要研究方向为进化计算、贝叶斯优化、多目标优化、代理模型等。主持国家自然科学基金青年基金1项，在IEEE Transactions on Evolutionary Computation、ACM Transactions on Evolutionary Learning and Optimization、Swarm and Evolutionary Computation、Journal of Global Optimization、IEEE Congress on Evolutionary Computation等发表论文多篇。我的ResearchGate、GitHub、Google Scholar。

期刊论文

1. Dawei Zhan, Zhaoxi Zeng, Shuoxiao Wei, Ping Wu. Scalable Batch Bayesian Optimization Via Subspace Acquisition Functions. ACM Transactions on Evolutionary Learning and Optimization. 2026. (Code)

2. Jundi Huang, Dawei Zhan. An Adaptive Dropout Approach for High-Dimensional Bayesian Optimization. Optimization and Engineering. 2026. (Code)

3. Mei Li, Dawei Zhan. Pointwise Expected Hypervolume Improvement for Expensive Multi-Objective Optimization. Journal of Global Optimization, 2025, 91(1): 171-197. (Code)

4. Dawei Zhan. Expected Coordinate Improvement for High-Dimensional Bayesian Optimization. Swarm and Evolutionary Computation. 2024, 91, 101745. (Code)  

5. Dawei Zhan, Jintao Wu, Huanlai Xing, Tianrui Li. A Cooperative Approach to Efficient Global Optimization. Journal of Global Optimization, 2024, 88(2): 327-357. (Code)

6. Yuqian Gui, Dawei Zhan, Tianrui Li. Taking Another Step: A Simple Approach to High-Dimensional Bayesian Optimization. Information Sciences, 2024, 679: 121056. (Code)

7. Dawei Zhan, Yun Meng, Huanlai Xing. A Fast Multipoint Expected Improvement for Parallel Expensive Optimization. IEEE Transactions on Evolutionary Computation, 2023, 27(1): 170-184. (Code)

8. Dawei Zhan, Huanlai Xing. A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning. IEEE Transactions on Evolutionary Computation, 2021, 25(5): 941-955. ( Code)

9. Dawei Zhan, Huanlai Xing. Expected Improvement for Expensive Optimization: A Review. Journal of Global Optimization. 2020, 78(3): 507-544.

10. Dawei Zhan, Yuansheng Cheng, Jun Liu. Expected Improvement Matrix-based Infill Criteria for Expensive Multiobjective Optimization.IEEE Transactions on Evolutionary Computation, 2017, 21(6): 956-975. (Code)

11. Dawei Zhan, Jiachang Qian, Yuansheng Cheng. Pseudo Expected Improvement Criterion for Parallel EGO Algorithm. Journal of Global Optimization. 2017, 68(3): 641-662. (Code)

12. Dawei Zhan, Jiachang Qian, Yuansheng Cheng. Balancing Global and Local Search in Parallel Efficient Global Optimization Algorithms. Journal of Global Optimization. 2017, 67(4): 873-892.

会议论文

1. Zhiyuan Miao, Dawei Zhan. A Greedy Optimization Approach for High-Dimensional Bayesian Optimization. The International Conference on Data-driven Optimization of Complex Systems, 2025.

2. Ling Jin, Dawei Zhan. An Adaptive Line Search Method for High-Dimensional Bayesian Optimization. The International Conference on Data-driven Optimization of Complex Systems, 2025.

3. Yiqi Liu, Dawei Zhan. Adaptive Subspace Selection Approach for High-Dimensional Bayesian Optimization. The International Conference on Data-driven Optimization of Complex Systems, 2025.

4. Heng Li, Dawei Zhan. An Efficient Batch Bayesian Optimization Algorithm via Expected Coordinate Improvement. The International Conference on Data-driven Optimization of Complex Systems, 2025.

5. Dongyang Li, Dawei Zhan. High-Dimensional Bayesian Optimization Based on Local and Global Models. The International Conference on Data-driven Optimization of Complex Systems, 2025.

6. Mei Li, Dawei Zhan. A Fast Hypervolume Contribution Strategy for Evolutionary Multi-Objective Optimization. The International Conference on Data-driven Optimization of Complex Systems, 2024.

7. Ling Jin, Dawei Zhan. Roulette Wheel Variable Selection for High Dimensional Bayesian Optimization. The International Conference on Data-driven Optimization of Complex Systems, 2024. (MATLAB code)

8. Zhiyuan Miao, Dawei Zhan. High-dimensional Bayesian Optimization Using Greedy Variable Selection Strategy. International Conference on Data-driven Optimization of Complex Systems, 2024. (MATLAB code)

9. Dawei Zhan, Yuqian Gui, Tianrui Li. An Anisotropic Expected Improvement Criterion for Kriging-Assisted Evolutionary Computation. IEEE Congress on Evolutionary Computation, 2023. (MATLAB code)

10. Yuqian Gui, Dawei Zhan, Tianrui Li. An Exploitation-Enhanced Bayesian Optimization Algorithm for High-Dimensional Expensive Problems. International Conference on Artificial Neural Networks, 2023.

11. Dawei Zhan, Huanlai Xing. A Population Prescreening Strategy for Kriging-Assisted Evolutionary Computation. IEEE Congress on Evolutionary Computation, 2021. (MATLAB code)

12. Dawei Zhan, Jiachang Qian, Jun Liu, Yuansheng Cheng. Pseudo Expected Improvement Matrix Criteria for Parallel Expensive Multi-objective Optimization, World Congress of Structural and Multidisciplinary Optimisation, 2017. (MATLAB code)

科研项目

1. 国家自然科学基金青年基金项目，面向高维昂贵优化问题的Kriging辅助进化算法研究，主持，2022.01-2024.12，已结题.

2. 中央高校基本科研业务费科技创新项目，基于Pareto采样准则和空间分解的高维EGO算法研究，主持，2020.01-2021.12，已结题.

招生信息

课题组主要从事优化算法方面研究，偏理论，对数学和英语要求较高。课题组优先考虑学术型硕士，有意报考的同学请发邮件到zhandawei@swjtu.edu.cn联系我。