 |
兰钰 |
随机/鲁棒优化、零碳能源系统优化、大模型智能体协同优化、深度学习方法及其应用
1. 2024-至今，西安交通大学，自动化科学与工程学院，副教授
2.2020-2024，西安交通大学，自动化科学与工程学院，助理教授
1. 西安交通大学-中国移动通信集团有限公司数字政府联合研究院，“冷量流末端动态感知与诊断技术研究与应用”课题，已结题，主持
2. 国家自然科学基金委员会，青年科学基金，62103323，含高不确定性可再生能源的多微网分布式协同调度方法研究, 2022-01至2024-12，已结题, 主持
3. 国家自然科学基金委重大项目-含氢多能源供需系统协同运行的基础理论与关键技术，在研，参与
4. 国家发改委、教育部-西安交通大学国家储能技术产教融合创新平台，4.39亿，在研，参与
5. 华为横向-基于系统优化理论的5G站点空调系统节能，已结题，参与
6. 中华人民共和国科学技术部，国家重点研发计划，2016YFB0901900，能源互联网的规划、运行与交易基础理论，2016-07至2020-06，已结题，参与。
7.国家自然科学基金委员会，联合基金项目，U1301254，基于能源信息感知与特性分析的智能电网供需动态优化匹配与调度方法，2014-01至2017-12，已结题，参与。
近五年代表性论文：
1. Li, Chengzhengxu and Liu, Xiaoming and Zhang, Zhaohan and Wang, Yichen and Liu, Chen and Lan, Yu and Shen, Chao， Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models, NeurIPS 2024. (CCF A 会议论文)
2. Liu, Xiaoming and Liu, Chen and Zhang, Zhaohan and Li, Chengzhengxu and Wang, Longtian and Lan, Yu and Shen, Chao, StablePT: Towards Stable Prompting for Few-shot Learning via Input Separation, EMNLP 2024. (自然语言处理三大顶会，会议论文)
3. Liu, Shengchao and Liu, Xiaoming and Wang, Yichen and Cheng, Zehua and Li, Chengzhengxu and Zhang, Zhaohan and Lan, Yu and Shen, Chao, Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better, ACL 2024. (CCF A 会议论文)
4. Yu Lan, Qiaozhu Zhai, Xiaoming Liu, Xiaohong Guan; First Order Accelerated Robust Dual Dynamic Programming for Robust Economic Dispatch, IEEE Transactions on Power Systems. (期刊论文)
5. Chengzhengxu Li, Xiaoming Liu, Yichen Wang, Duyi Li, Yu Lan, Chao Shen; Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning, Proceedings of the AAAI Conference on Artificial Intelligence, 2024. (CCF A 会议论文)
6. Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Hang Pu, Yu Lan, Chao Shen; Coco: Coherence-enhanced machine-generated text detection under low resource with contrastive learning, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023. (会议论文)
7. Yu Lan, Qiaozhu Zhai, Chao-Bo Yan, Xiaoming Liu, Xiaohong Guan; Robust Approximate Dynamic Programming for Large-Scale Unit Commitment With Energy Storages, IEEE Transactions on Automation Science and Engineering, 2023. (期刊论文)
8. Yu Lan, Qiaozhu Zhai, Xiaoming Liu, and Xiaohong Guan; Fast Stochastic Dual Dynamic Programming for Economic Dispatch of Distribution Systems, IEEE Transactions on Power Systems, 2022. (期刊论文)
9. Xiaoming Liu, Yu Lan, Yadong Zhou, Chao Shen, and Xiaohong Guan. A Real-time Explainable Traffic Collision Inference Framework Based on Probabilistic Graph Theory. Knowledge-Based Systems 212 (2021): 106442. (期刊论文)
10. Yu Lan; Xiaohong Guan; Jiang Wu; Online Decentralized and Cooperative Dispatch for Multi-Microgrids, IEEE Transactions on Automation Science and Engineering, 2020, 17(1): 450-462. (期刊论文)
11.Yu Lan; Hao Zhu, Xiaohong Guan; Fast Nonconvex SDP Solvers for Large-Scale Power System State Estimation , IEEE Transactions on Power Systems, 2020, 35(3): 2412-2421. (期刊论文)