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openalexOpen MIND2026-07-25Cited by 0

HomoeoGWAS: subgenome-aware scalable LMM with DL prior conditional lift for allopolyploid GWAS

Shipeng Yang

HomoeoGWAS is a GWAS framework for allopolyploid crops (wheat AABBDD, cotton AADD, rapeseed AACC, oat AACCDD, strawberry octoploid). It combines subgenome-partitioned random-effect LMMs with per-logical-chromosome LOCO, an optional scope-conditional homoeolog Hadamard kernel, and a zero-shot PlantCaduceus + AgroNT deep-learning prior that re-ranks suggestive GWAS hits. A dual-GPU native scan handles up to ~10^8 markers.

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Pilot Assignment and Channel Estimation for User-Centric Cell-Free Massive MIMO Systems

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User-centric (UC) cell-free (CF) massive multiple-input multiple-output (MIMO) systems have emerged as a promising solution for the beyond fifth generation (B5G) and the sixth generation (6G) wireless communication systems, providing enhanced coverage, capacity, and user fairness…

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From Sparse to Dense: Label-Efficient Weakly Supervised Segmentation for Images and Videos

J. Wang

Obtaining high-quality annotated data has become a primary bottleneck for training deep learning models, particularly for dense prediction tasks like semantic segmentation and video salient object segmentation. The demand for meticulous, pixel-level labeling makes fully-supervise…

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A UAV-Based Framework for Community-Scale Residential Building Energy Modelling in China

Mengfan Jin

With increasing emphasis on energy efficiency and carbon emission reduction in the building sector, rapid and scalable energy modelling of existing buildings is critical for retrofit projects and policy development. Conventional surveys, data collection and energy modelling proce…

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openalexOpen MIND2026-07-23

Friction-Guided Inference: Calibrating Correction Strategies and Abstention from Logprob Signals

Tomas Pødenphant Lund

Large language models frequently possess the knowledge needed to answer a question correctly yet commit to the wrong response. This paper presents friction-guided inference, a calibrated inference-time pipeline that uses the model's own logprob distribution — available at zero co…

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