👩🏼💻 About Me
My name is Ying Zheng (郑莹 in Chinese). I am currently a Ph.D. student at Fudan University, advised by Prof. Yuedong Xu and Prof. Xin Wang. Additionally, I am fortunate to work closely with Prof. Lei Jiao at University of Oregon and Prof. Zongpeng Li at Tsinghua University.
📝 Research
My research focuses on interdisciplinary areas of artificial intelligence, networked systems, and network economics. Specifically, I am interested in how to re-design the serving paradigm and resource allocation algorithms in data centers or edge clouds so that they can efficiently support a wide range of applications. To achieve this, I continuously learn both the applications and algorithms. Currently, I am interested in
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Applications: Large Language Model (LLM) Fine-Tuning, LLM Serving, Artificial Intelligence-Generated Content (AIGC), etc.
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Algorithms: Combinatorial Optimization, Online Optimization, Markov Decision Process (MDP), Reinforcement Learning (RL), etc.
If you are interested in my research and seeking potential collaboration, feel free to drop me an email at zhengy18@fudan.edu.cn.
🔥 News
- 2024.06: 🎉 Paper “Online Scheduling and Pricing for Multi-LoRA Fine-Tuning Tasks” was accepted by International Conference in Parallel Processing (ICPP), 2024.
- 2024.04: 🎉 Paper “Scheduling Generative-AI Job DAGs with Model Serving in Data Centers” was accepted by IEEE/ACM International Symposium on Quality of Service (IWQoS, short paper), 2024.
- 2024.01: 🎉 Paper “Online AI-Generated Content Request Scheduling with Deep Reinforcement Learning” was accepted by IEEE Conference on Computer Communications (INFOCOM, IEILM Workshop), 2024.
📑 Selected Works
Scheduling Generative-AI Job DAGs with Model Serving in Data Centers.
Ying Zheng, Lei Jiao, Yuedong Xu, Bo An, Xin Wang, Zongpeng Li.
IWQoS, 2024. [Paper] [[Website]]
📑 Publication List
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Ying Zheng, Lei Jiao, Han Yang, Lulu Chen, Ying Liu, Yuxiao Wang, Yuedong Xu, Xin Wang, Zongpeng Li. Online Scheduling and Pricing for Multi-LoRA Fine-Tuning Tasks. International Conference on Parallel Processing (ICPP), 2024. [Paper]
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Ying Zheng, Lei Jiao, Yuedong Xu, Bo An, Xin Wang, Zongpeng Li. Scheduling Generative-AI Job DAGs with Model Serving in Data Centers. IEEE/ACM International Symposium on Quality of Service(IWQoS, short paper), 2024. [Paper]
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Chenglong Feng, Ying Zheng, Yuedong Xu. Online AI-Generated Content Request Scheduling with Deep Reinforcement Learning. IEEE Conference on Computer Communications (INFOCOM, IEILM Workshop), 2024. [Paper]
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Ying Zheng, Lixiang Lin, Tianqi Zhang, Haoyu Chen, Qingyang Duan, Yuedong Xu, Xin Wang. Enabling Robust DRL-Driven Networking Systems via Teacher-Student Learning. IEEE Journal on Selected Areas in Communications (JSAC), 2021, 40(1): 376-392. [Paper]
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Ying Zheng, Haoyu Chen, Qingyang Duan, Lixiang Lin, Yiyang Shao, Wei Wang, Xin Wang, Yuedong Xu. Leveraging Domain Knowledge for Robust Deep Reinforcement Learning in Networking. IEEE Conference on Computer Communications (INFOCOM), 2021. [Paper]
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Ying Zheng, Qingyang Duan, Lixiang Lin, Xinyu You, Yuedong Xu, Xin Wang. A Survey on the Applications of Deep Reinforcement Learning in Classical Networking Systems. Radio Communications Technology, 2020, 46(6): 603-623. (in Chinese) Outstanding paper award. [Paper]
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Ying Zheng, Ziyu Liu, Xinyu You, Yuedong Xu, Junchen Jiang. Demystifying Deep Learning in Networking. ACM Asia-Pacific Workshop on Networking (APNet), 2018. [Paper]
📖 Education
- 2023.09 - now, Ph.D. Student, School of Computer Science, Fudan University.
- 2023.09 - 2024.08, Visiting Student, Institute for Network Sciences and Cyberspace, Tsinghua University.
- 2022.09 - 2023.08, Visiting Student, School of Computer Science and Engineering, Nanyang Technological University, advised by prof. Bo An.
- 2014.09 - 2018.06, Undergraduate Student, School of Computer Science and Engineering, Northeastern University
🎖 Honors and Awards
- 2018-2021,2023 Scholarship of Fudan University
- 2021 IEEE INFOCOM Student Travel Grant
- 2020 Outstanding paper award of Radio Communications Technology
- 2018 ACM SIGCOMM Travel Grant
- 2017 Chinese National Scholarship (Top 1%)