Author

Ke-Wei Li

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Preprint Aug 2026

CMCNet: Aligning Ultrasound Image Embeddings with Textual TI-RADS Representations for Fine-Grained Thyroid Classification

Ultrasound is the primary imaging modality for assessing thyroid nodules, and the ACR TI-RADS framework standardizes diagnosis through five ultrasound feature categories that are aggregated into five risk levels (TR1-TR5). Although widely adopted in clinical practice, most deep learning approaches focus on binary malig...

Bingxin Yu, Xuelin Wang, Jerry Zhou et al. · 0 citations

#artificial intelligence Preprint Sep 2026

CliffRank: A Dual-Branch Framework for Activity-Cliff Ranking Prediction

CliffRank trains two parallel predictors with mean squared error, a thresholded listwise loss, and Pairwise Preference Consistency (PPC), which aligns relative ordering in the preference-probability space, and defines its practical limits.

Ke-Wei Li, Rong Zhang, Pei-Yu Yang et al. · 0 citations

#artificial intelligence Review Aug 2026

DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction

DISTAL is a dual-prior framework for structure-agnostic materials property prediction that combines self-supervised compositional pretraining with structure-aware knowledge distillation and achieves the strongest overall performance among all evaluated feature combinations.

Wei-Ran Wang, Xin-Tong Huo, Yue-Ying Wang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation

Frequency-Domain Latent-attention Gated Pooling (FLaG), a plug-in aggregation module that re-expresses encoder outputs in the Fourier domain before final pooling, provides a transferable frequency-domain aggregation bias across protein, visual, and textual representations, with benefits that depend on the backbone and...

Ke-Wei Li, Rong Zhang, Xuelin Wang et al. · 0 citations