1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2026
InferOpt: Constrained Multi-Objective Search for LLM Inference Configurations
Qi Chen, Yingying Cheng, Zhaoyi Sun +3
Serving an LLM means setting dozens of inference-time knobs, from per-layer KV retention to per-layer expert counts. Practice sets them with mechanism-specific heuristics that retu…
cs.LG2026
Max-Window Scale Estimation for Near-Lossless HiF8 W8A8 Quantization-Aware Training
Yingying Cheng, Jinquan Shi, Li Zhou +4
Quantization-aware training (QAT) with low-bit floating-point formats enables efficient LLM deployment, yet introduces subtle failure modes invisible to standard training metrics.…
eess.SP2023★ 1 cited
Meta-DSP: A Meta-Learning Approach for Data-Driven Nonlinear Compensation in High-Speed Optical Fiber Systems
Xinyu Xiao, Zhennan Zhou, Bin Dong +3
Nonlinear effects in high-speed optical fiber systems fundamentally limit channel capacity. While traditional Digital Backward Propagation (DBP) with adaptive filters addresses the…