Binqi Sun
Scholar

Binqi Sun

Google Scholar ID: ZFeeY4gAAAAJ
Technical University of Munich
SchedulingOptimizationReal-Time SystemsCyber-Physical Systems
Citations & Impact
All-time
Citations
178
 
H-index
8
 
i10-index
6
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Paper 'SAPar: A Surrogate-Assisted DNN Partitioner for Efficient Inferences on Edge TPU Pipelines' accepted at EMSOFT 2025
  • Paper 'RestoreML: Practical Unsupervised Tuning of Deployed Intelligent IoT Systems' received Best Paper Award at DCOSS 2025
  • Position paper 'Deep reinforcement learning for real‑time resource management' accepted by Real-Time Systems journal
  • Paper 'Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems' accepted at ECRTS 2025
  • Paper 'Response Time Analysis and Optimal Priority Assignment for Global Non-Preemptive Fixed-Priority Rigid Gang Scheduling' accepted by IEEE Transactions on Parallel and Distributed Systems
  • Paper 'Minimizing cache usage with fixed-priority and earliest deadline first scheduling' accepted by Real-Time Systems journal
  • Paper 'Partitioned Scheduling and Parallelism Assignment for Real-Time DNN Inference Tasks on Multi-TPU' accepted at DAC 2024
  • Paper 'Strict Partitioning for Sporadic Rigid Gang Tasks' accepted at RTAS 2024
  • Paper 'Edge Generation Scheduling for DAG Tasks using Deep Reinforcement Learning' accepted by IEEE Transactions on Computers
  • Paper 'Co-Optimizing Cache Partitioning and Multi-Core Task Scheduling: Exploit Cache Sensitivity or Not?' accepted at RTSS 2023
  • Paper 'Minimizing Cache Usage for Real-time Systems' received Best Paper Award at RTNS 2023 and presented there