个人信息Personal Information
学历：博士研究生毕业
学位：工学博士学位
性别：男
在职信息：在岗
毕业院校：电子科技大学
所在单位：计算机与人工智能学院
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报考该导师研究生的方式
欢迎你报考周光耀老师的研究生，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，选择周光耀老师，你的所有申请信息将发送给周光耀老师，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周光耀老师研究生，可以通过系统的推免生预报名系统提交申请，并选择意向导师为周光耀老师，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周光耀老师招收的专业和方向，进入复试后提交导师意向时选择周光耀老师。
4、如果你有兴趣攻读周光耀老师博士研究生，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。
个人简介Personal Profile
周光耀，西南交通大学计算机与人工智能学院助理教授。2024年毕业于电子科技大学，获工学博士学位，并获电子科技大学优秀博士学位论文。博士导师：田文洪教授、Rajkumar Buyya教授。从事分布式并行计算架构与优化算法理论等方面的研究，涉及深度学习分布式并行训练架构、分布式计算系统资源调度和NP难问题优化算法等领域的理论研究和工程应用研究。
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学术论文：
[1] Guangyao Zhou, Wenhong Tian, Rajkumar Buyya, Ruini Xue, Liang Song. Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions[J]. Artificial Intelligence Review, 2024. (SCI 1区top，ESI高被引)
[2] Guangyao Zhou, Yiqin Fu, Haocheng Lan, Yuanlun Xie, Wenhong Tian, Rajkumar Buyya, Jiahong Qian, Teng Su. Cross-Search with Improved Multi-Dimensional Dichotomy-Based Joint Optimization for Distributed Parallel Training of DNN[J]. IEEE Transactions on Parallel and Distributed Systems, 2025. (CCF A)
[3] Guangyao Zhou, Wenhong Tian, Rajkumar Buyya, Kui Wu. UMPIPE: Unequal Microbatches-Based Pipeline Parallelism for Deep Neural Network Training[J]. IEEE Transactions on Parallel and Distributed Systems, 2025. (CCF A)
[4] Guangyao Zhou, Minxian Xu, Jiashu Zhang, Rajkumar Buyya. GMHA: Growable Meta-Heuristic Algorithm for Multi-Objective Optimization Problems and its Application in Cloud Scheduling[J]. IEEE Transactions on Services Computing, 2025. (CCF A)
[5] Guangyao Zhou, Yuanlun Xie, Yiqin Fu, Zhaokun Wang. Multi-loss, Feature Fusion and Improved Top-two-voting Ensemble for Facial Expression Recognition in the Wild[J]. Neural Networks, 2025. (CCF B，SCI 2区top)
[6] Guangyao Zhou, Haocheng Lan, Yuanlun Xie, Wenhong Tian, Jiahong Qian, Teng Su. CSIMD: Cross-search Algorithm with Improved Multi-dimensional Dichotomy for Micro-batch-based Pipeline Parallel Training in DNN[C]. In European Conference on Parallel Processing (EuroPar-2024). (CCF B)
[7] Guangyao Zhou, Yuanlun Xie, Haocheng Lan, Wenhong Tian, Rajkumar Buyya, Kui Wu. Information Interaction and Partial Growth-based Multi-population Growable Genetic Algorithm for Multi-dimensional Resources Utilization Optimization of Cloud Computing[J]. Swarm and Evolutionary Computation, 2024. (SCI 1区)
[8] Guangyao Zhou, Wenhong Tian, Rajkumar Buyya. Multi-search-routes-based Methods for Minimizing Makespan of Homogeneous and Heterogeneous Resources in Cloud Computing[J]. Future Generation Computer Systems, 2023. (CCF C，SCI 2区top)
[9] Guangyao Zhou, WenHong Tian, Rajkumar Buyya, Kui Wu. Growable Genetic Algorithm with Heuristic-based Local Search for Multidimensional Resources Scheduling of Cloud Computing[J]. Applied Soft Computing, 2023. (SCI 1区top)
[10] Guangyao Zhou, Ruiming Wen, Wenhong Tian, Rajkumar Buyya. Deep Reinforcement Learning-based Algorithms Selectors for the Resource Scheduling in Hierarchical Cloud[J]. Journal of Network and Computer Applications, 2022. (CCF C，SCI 2区top)