output
20222026
most citedASANet: Asymmetric Semantic Aligning Network for RGB and SAR image land cover classification

49 citations

8 papers

cs.LG2026

UME: A Unified Meta-Generalization Framework for Cross-Domain ETA

Duo Wang, Qiong Wu, Jianguo Wu +9

Accurate Estimated Time of Arrival (ETA) prediction on checkout page is crucial in instant logistics for enhancing user satisfaction, optimizing dispatching, and controlling operat…

cs.IR2026

Sample Is Feature: Beyond Item-Level, Toward Sample-Level Tokens for Unified Large Recommender Models

Shuli Wang, Junwei Yin, Changhao Li +6

Scaling industrial recommender models has followed two parallel paradigms: \textbf{sample information scaling} -- enriching the information content of each training sample through…

cs.IR2026

Unleashing the Potential of Sparse Attention on Long-term Behaviors for CTR Prediction

Weijiang Lai, Beihong Jin, Di Zhang +5

In recent years, the success of large language models (LLMs) has driven the exploration of scaling laws in recommender systems. However, models that demonstrate scaling laws are ac…

cs.SD2025

Multi-Accent Mandarin Dry-Vocal Singing Dataset: Benchmark for Singing Accent Recognition

Zihao Wang, Ruibin Yuan, Ziqi Geng +7

Singing accent research is underexplored compared to speech accent studies, primarily due to the scarcity of suitable datasets. Existing singing datasets often suffer from detail l…

cs.SD2025★ 2 cited

Singing Timbre Popularity Assessment Based on Multimodal Large Foundation Model

Zihao Wang, Ruibin Yuan, Ziqi Geng +7

Automated singing assessment is crucial for education and entertainment. However, existing systems face two fundamental limitations: reliance on reference tracks, which stifles cre…

eess.IV2024★ 49 cited

ASANet: Asymmetric Semantic Aligning Network for RGB and SAR image land cover classification

Pan Zhang, Baochai Peng, Chaoran Lu +1

Synthetic Aperture Radar (SAR) images have proven to be a valuable cue for multimodal Land Cover Classification (LCC) when combined with RGB images. Most existing studies on cross-…

cs.CL2023★ 4 cited

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection

Pei Wang, Keqing He, Yutao Mou +6

Detecting out-of-domain (OOD) intents from user queries is essential for a task-oriented dialogue system. Previous OOD detection studies generally work on the assumption that plent…

cs.AI2022★ 1 cited

On the evaluation of (meta-)solver approaches

Roberto Amadini, Maurizio Gabbrielli, Tong Liu +1

Meta-solver approaches exploits a number of individual solvers to potentially build a better solver. To assess the performance of meta-solvers, one can simply adopt the metrics typ…