👋 About Me
I am Shengye Song, a PhD Candidate in the School of Computer Science, Nanjing University, where I am a member of the LANDS Group.
I am advised by Prof. Rong Gu.
Previously, I received my Master’s degree in Computer Technology from SIAT and SUSTech, where I worked with Prof. Minxian Xu and Prof. Kejiang Ye.
My research lies at the intersection of AI systems and distributed systems, with a focus on:
- Efficient LLM inference and serving
- Distributed systems for large-scale AI workloads
- AI infrastructure and system performance optimization
More broadly, I am interested in designing efficient, scalable, and production-ready AI systems that bridge cutting-edge research and real-world deployment.
📊 My publications have received
💬 Collaboration
I am always interested in collaborating on research related to AI systems, LLM inference, and distributed systems!
🔥 News
- 2026.02: 🎉 Our paper “C-Koordinator” is accepted by Software: Practice and Experience (SPE, CCF-B).
- 2025.10: 🎉 Our paper “TD3-Sched” is accepted by PDCAT 2025.
- 2025.09: 🎉 Our paper “BucketServe” is accepted by SmartData 2025.
- 2024.03: 🎉 Our patent on interference elimination is officially granted.
📝 Publications
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PDCAT ‘25
TD3-Sched: Decentralized Edge-Aware Reinforcement Learning for Resource Scheduling in Cloud-Edge Collaborative Clusters.
📄 Paper- Shengye Song, Kan Hu, Minxian Xu, Wenxian Guo, Kejiang Ye
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SmartData ‘25
BucketServe: Bucket-Based Dynamic Batching for Smart and Efficient LLM Inference Serving.
📄 Paper- Wanyi Zheng, Minxian Xu, Shengye Song, Kejiang Ye
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SPE
C-Koordinator: Interference-aware Management for Large-scale and Co-located Microservice Clusters, CCF-B.
📄 Paper- Shengye Song, Minxian Xu, Zuowei Zhang, Chengxi Gao, Fansong Zeng, Yu Ding, Kejiang Ye, Chengzhong Xu
🧪 Patents
- An Offline Interference Elimination Method, Device, Computer Equipment, and Storage Medium
Shengye Song (et al.)
Patent No.: CN117349037B
📰 Preprints
(To be updated)
🎖 Honors and Awards
- 2025.08 First Prize, CCF Digital Services Conference
- 2025.11 Best Paper Award, SmartData 2025
📖 Education
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2026.09 - Present
Nanjing University (NJU), China
Ph.D. Candidate in Computer Science -
2023.09 - 2026.06
Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences & Southern University of Science and Technology (SUSTech)
M.S. in Computer Technology -
2018.09 - 2022.06
University of Electronic Science and Technology of China (UESTC)
B.S. in Industrial Engineering
💻 Experience
- 2023.11 - 2024.10
Alibaba Cloud (Remote Research Intern)
🌍 Visitors
