👋 About me
I am Shengye Song, a Master’s Candidate at SIAT and SUSTech, Guangdong, China. My research focuses on cloud-edge collaborative systems, distributed reinforcement learning, and optimization of large-scale computing systems with total
My research interest includes LLM system and distributed system！
📝 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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Smart Data ‘25
BucketServe: Bucket-Based Dynamic Batching for Smart and Efficient LLM Inference Serving. 📄 Paper
- Wanyi Zheng, Minxian Xu, 👤 Shengye Song, Kejiang Ye
Patents
- An Offline Interference Elimination Method, Device, Computer Equipment, and Storage Medium
Shengye Song (et al.)
Patent No.: CN117349037B, accepted
📰 Preprints
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Arxiv 25
C-Koordinator: Interference-aware Management for Large-scale and Co-located Microservice Clusters. 📄 Paper
- 👤 Shengye Song, Minxian Xu, Zuowei Zhang, Chengxi Gao, Fansong Zeng, Yu Ding, Kejiang Ye, Chengzhong Xu
🎖 Honors and Awards
- 2025.8 First Prize in the CCF 2025 Digital Services Conference.
- 2025.11 SmartData 2025 Best paper.
📖 Educations
- 2023.09 - (now), SUSTech&SIAT, China. Master’s in Computer Technology, supervised by Prof. Minxian Xu and Prof. Kejiang Ye.
- 2018.09 - 2022.06, UESTC, China. B.S. in Industrial Engineering.
💻 Internships
- 2023.11 - 2024.10, Alibaba Cloud remote, China.
🌍 Visitors
