Qianlong Sang

Qianlong Sang

Fifth-Year Computer Science
Ph.D. Student

Wuhan University

Biography

Hi! I’m Qianlong Sang (桑乾龙), a fifth-year Computer Science Ph.D. student at Wuhan University, advised by Prof. Dazhao Cheng. My research spans operating systems, mobile and edge systems, and systems for AI. I currently focus on performance and energy optimization through scheduling, frequency scaling, critical-thread analysis, and efficient on-device AI inference.

I am graduating soon and actively looking for full-time positions and internships in systems, operating systems, mobile/edge computing, and systems-for-AI. If you think my background fits your team, please feel free to reach out at qlsang@whu.edu.cn — I am happy to share my CV and chat.

Download my resumé .

Codex Activity

Last 53 weeks · Updated

GitHub Activity

Qianlong Sang's GitHub activity

Interests

  • Operating System
  • Mobile and Edge Systems
  • Systems for AI
  • Agent for OS

Education

  • Ph.D. in Computer Science and Technology, 2022–2027 (expected)

    Wuhan University

  • B.E. in Cyberspace Security, 2018–2022

    Wuhan University

Prizes & Talks

  • DiDi Outstanding Ph.D. Student Academic Forum — Second Prize
    2026
  • Huawei OS Kernel Lab’s Squirrel Meetup — Presentation
    2026

Recent Publications

Qianlong Sang, Yuheng Li, Junsheng He, Chuang Hu, Yili Gong, Xiaobo Zhou, Dazhao Cheng (2026). Loom: Criticality Inference via Efficient Causal Dependency Graph Mining. Under Review
Yaotian Hu, Chuang Hu, Zheng Gong, Qianlong Sang, Zheng Zhang, Xiaobo Zhou, Dazhao Cheng (2026). Nabla: Adaptive Multi-Domain DVFS for Energy-Efficient LLM Inference on Edge SoCs. Under Review
Qianlong Sang, Puyi He, Huanghuang Liang, Yili Gong, Chuang Hu, Xiaobo Zhou, Dazhao Cheng (2026). Unleash All Cores: Asymmetry-aware Scalable DNN Inference on Mobile CPUs. In OSDI CCF-A Cite Source Document
Qianlong Sang, Puyi He, Tianyu Tu, Huanghuang Liang, Yaqi Xia, Yili Gong, Chuang Hu, Xiaobo Zhou, Dazhao Cheng (2026). QDiTx: Arbitrary Bit-Width Quantization Framework for Diffusion Transformer. In IEEE TCAD CCF-A
Qianlong Sang, Yuheng Li, Chuang Hu, Yili Gong, Dazhao Cheng (2026). Trident: Identifying, Constraining and Multi-Domain Governing for Resource Management on Mobile Devices. In IEEE TMC CCF-A Cite
Qianlong Sang, Jinqi Yan, Rui Xie, Chuang Hu, Kun Suo, Dazhao Cheng (2024). QoS-Aware Power Management via Scheduling and Governing Co-Optimization on Mobile Devices. In IEEE TMC CCF-A PDF Cite
Xinquan Cai, Qianlong Sang, Chuang Hu, Yili Gong, Kun Suo, Xiaobo Zhou, Dazhao Cheng (2024). Incendio: Priority-Based Scheduling for Alleviating Cold Start in Serverless Computing. In IEEE TC CCF-A

News

Milestones

  • Joined Tencent as a Qingyun Program intern, working on Agent for OS.
  • Our work QDiTx was accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
  • Our work SANI was accepted by OSDI.
  • Our work Trident was accepted by IEEE Transactions on Mobile Computing.
  • Our work Orthrus was published in IEEE Transactions on Mobile Computing.

Experience

 
 
 
 
 
Qingyun Program Intern
Tencent
Jun 2026 – Present Shenzhen
 
 
 
 
 
Project Collaborator / Research Intern
Huawei
Jun 2025 – Apr 2026 Wuhan
  • Developed frame-load-aware models, latency-aware CPU scheduling, and coordinated CPU/GPU frequency-scaling strategies.
  • Validated the system across browser, video, conferencing, and office workloads, achieving about 5% weighted device-level power savings.
 
 
 
 
 
Research Intern
OPPO
Feb 2022 – May 2022 Shenzhen
  • Analyzed mobile-system performance and power consumption, focusing on kernel scheduling and frequency scaling.
  • Identified system bottlenecks and designed power-optimization mechanisms for subsequent scheduling and governing work.
 
 
 
 
 
Teaching Assistant
One Student One Chip (OSCPU), Phase 3
Jul 2021 – Oct 2021 Wuhan
  • Taught five-stage RISC-V pipeline concepts and provided technical guidance based on the Phase 2 CPU implementation.