6 papers
LATTICE: Constraint-Directed Scheduling, Memory Planning, and Pipeline Refinement for NPUs
Runhao Liu, Minman Pei, Peng Zheng +7
General-purpose NPUs execute fine-grained command DAGs across heterogeneous compute and memory-transfer engines backed by finite, explicitly managed on-chip memories. This executio…
Skin Lesion Classification Based on ResNet-50 Enhanced With Adaptive Spatial Feature Fusion
Runhao Liu, Fengyi Zha, Fei Ding +2
Skin cancer classification is challenging due to high inter-class similarity, intra-class variability, and artifacts in dermoscopic images. To address these issues, we propose an i…
Robust Crop Planning under Uncertainty: Aligning Economic Optimality with Agronomic Sustainability
Runhao Liu, You Li, Zhengyang Cheng +1
Long-horizon agricultural planning requires optimizing crop allocation under complex spatial heterogeneity, temporal agronomic dependencies, and multi-source environmental uncertai…
From Production Envelopes to Executable Schedules: Sound Constructive Refinement for High-Mix Manufacturing
Runhao Liu, Zhengyang Cheng, Fei Ding +3
High-mix manufacturing systems require production plans that are both profitable and refinable into executable machine-level schedules under heterogeneous resources, mold-dependent…
Exploring the Challenge and Value of Deep Learning in Automated Skin Disease Diagnosis
Runhao Liu, Ziming Chen, Guangzhen Yao +1
Skin cancer is one of the most prevalent and deadly forms of cancer worldwide, highlighting the critical importance of early detection and diagnosis in improving patient outcomes.…
Probabilistic Method for Optimizing Submarine Search and Rescue Strategy Under Environmental Uncertainty
Runhao Liu, Ziming Chen, Peng Zhang
When coping with the urgent challenge of locating and rescuing a deep-sea submersible in the event of communication or power failure, environmental uncertainty in the ocean can not…