250 citations · 268 across the 8 of their papers we have counts for
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cs.LG2026
AT-SKM-Net: An Accelerated Trainable Sampling Kaczmarz-Motzkin Framework for Linear Hard-Constraint Feasibility on Dynamic Graphs
Xiaochen Zhang, Haoyu Zhu, Yao Zhang +1
Graph-structured optimization with linear constraints is fundamental to critical infrastructure but faces scalability limits due to massive strict hard constraints and high dimensi…
eess.SY2026
Spatial LLM Workload Shifting Needs Foresight: Model Commitment for AI Data Center Operation under Power Grid Constraints
Bojun Du, Hongyang Jia, Tonghui Li +4
AI data centers may face power supply shortages during certain periods, requiring operators to shift large language model (LLM) inference workloads spatially to maintain service ra…
eess.SY2026
From Tokens to Energy Flexibility: Quantization-Enabled Demand Response for Data Centers with LLM Inference Workloads
Bojun Du, Xiaoyi Fan, Ershun Du +5
The rapid growth of large language model (LLM) inference is creating significant data-center loads that face increasing energy-management challenges under tightening grid condition…