顾记清

顾记清

团队教师
成都信息工程大学
2022年12月毕业于电子科技大学，获计算机科学与技术工学博士学位，研究方向为分布式计算、并行计算优化、数据挖掘。在权威国际学术会议和学术期刊上发表学术论文18篇，参与包括科技部重点研发计划、中央高校基本科研业务费项目、四川省科技成果转化示范项目等多个国家级和省部级项目。

教育经历

工学学士

2010.9 - 2014.6
河南科技大学
就读于信息工程学院，获得计算机科学与技术专业学士学位。

工学硕士

2015.9 - 2017.6
电子科技大学
硕士研究生。

联合培养博士生

2021.3 - 2022.4
多伦多大学

工学博士

2017.9 - 2022.12
电子科技大学
就读于计算机学院，获得计算机科学与技术专业博士学位。

工作经历

讲师

2023.5 - 至今
成都信息工程大学计算机学院
教学科研岗

发表论文

顾记清, Chao Song, Jianfeng Huang, Jie Wu, Ruilin Hu, Li Lu. Social Welfare Control and Incentive for Free-Riding in Cross-Silo FL-based Caching. ICASSP 2026, 2026.
姚浩, Xi Wu, 王铁军, 顾记清, 彭静. SelCo: Efficient Distributed Multimodal LLM Training with Selective Co-location. Proceedings of the 22nd International Conference on Intelligent Computing (ICIC 2026), Toronto, Canada, 2026.
李佳琦, Shaohuai Shi , 彭静, 王铁军, 顾记清, Xi Wu. Low-bit and Sparsified Gradient Communication for Accelerating Distributed Deep Learning with Convergence Guarantees. Proceedings of the 55th International Conference on Parallel Processing (ICPP 2026), Singapore, 2026.
康雪娟 , 顾记清 , 彭静 , 吴锡 , 王铁军. 知识表示增强的多模态知识图谱补全方法. 计算机工程与应用, 2025.
梁汝带, 顾记清, 彭静, 王铁军, Xi Wu. An Online Heterogeneous GPU Cluster Scheduler for Multi-Objective Optimization. 2025 International Conference on Information Management and Computing Technology (ICIMCT), 2025.
源文档 DOI
梁汝带 , 顾记清, 彭静, 王铁军, Xi Wu. Heterogeneous GPU Cluster Scheduler for Multi-Objective Optimization. ICIMCT 2025, 2025.
崔航 , 顾记清, 彭静, 王铁军, Xi Wu. Automated Chain-of-Thought Data Generation for Meteorological Reasoning: A Study Based on WeatherQA. ICIMCT 2025, 2025.
顾记清, Chao Song, Jie Wu, Li Lu, Ming Liu. Unilateral Control for Social Welfare of Iterated Game in Vehicular Crowdsensing. JCST 2025, 2025.
顾记清, Chao Song, Wenjun Jiang, Li Lu, Ming Liu. Enhancing Personalized Trip Recommendations with Attractive Route Analysis and Graph Attention Auto-Encoder. KBS 2025, 2025.
顾记清, Chao Song, Haipeng Dai, Li Lu, Ming Liu. Compact Estimator for Streaming Triangle Counting. IEEE TKDE, 2024.
Xu Yang, Chao Song , 顾记清, Ke Li, Hongwei Li. A Distributed Streaming Framework for Edge-Cloud Triangle Counting. KBS 2023, 2023.
Yihang Song, Li Lu , 顾记清, Chong Zhang. Realizing Power-efficient Encryption Communication for Computational RFID Tags. CBD 2022, 2022.
顾记清, Chao Song, Haipeng Dai, Lei Shi, Jinqiu Wu, Li Lu. ACM: Accuracy-aware Collaborative Monitoring for Software-Defined Network-wide Measurement. Sensors, 2022.
顾记清, Chao Song, Zheng Ren, Wenjun Jiang, Ming Liu, Li Lu. Pedestrian Flow Prediction and Route Recommendation with Business Events. Sensors 2022, (中科院2区), 2022.
顾记清, Chao Song, Siqi Liao, Hongwei Li, Ming Liu, Jie Wu. Generation Rate Control with AoI under Traffic Hole Problem in Vehicular Networks. ITU Journal on Future and Evolving Technologies, 2022.
Xu Yang, Chao Song, Mengdi Yu , 顾记清, Ming Liu. Distributed Triangle Approximately Counting Algorithms in Simple Graph Stream. ACM TKDD, 2021.
顾记清, Chao Song, Wenjun Jiang, Xiaomin Wang, Ming Liu. Enhancing Personalized Trip Recommendation with Attractive Routes. Proc. of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020, CCF A类会议), 2020.
Mengdi Yu, Chao Song , 顾记清, Ming Liu. Distributed Triangle Counting Algorithms in Simple Graph Stream. ICPADS 2019, 2019.
Chao Song , 顾记清, Yongqiang Qi, Lei Shi, Ming Liu. Towards Cascading Problem for Dynamic Rate Allocations in ISP Networks with SDN. Proc. of International Conference on Mobile Ad-hoc and Sensor Networks (IEEE MSN 2019, CCF C类会议), 2019.
顾记清, Chao Song, Lei Shi, Haigang Gong, Ming Liu. Pedestrian Flow Prediction with Business Events. Proc. of International Conference on Mobile Ad-hoc and Sensor Networks (IEEE MSN 2019, CCF C类会议). Best Paper Candidate, 2019.
Chao Song , 顾记清, Ming Liu. Deployment Mechanism Design for Cost-Effective Data Uploading in Delay-Tolerant Crowdsensing. Proc. of the 15th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2017, CCF C类会议), 2017.