8 papers indexed
徐律 Lü XU, Yang Chen, Zhentian Zhang, Chai Chengzhang, Yuan Lei, Haijiang Li
Yang Chen, Guoyuan Huang, Yixin Zhan, Wenjun Ren, Xiaofeng Niu, Hongtao Wang
Male university students commonly experience gender role stress derived from traditional masculine norms, yet there is a lack of targeted and acceptable psychological interventions for this population. High-intensity interval training, given its time efficiency and alignment with…
Rongjun Ge, Dongyang Wang, Heng Zhu, Zhirui Li, Yang Chen, Yuting He
Interactive egocentric medical image segmentation (IEMIS) plays an important role in smart-glasses-assisted medical image review, segmenting the medical targets a clinician refers to from their egocentric view. Once it succeeds, the object-level visual evidence it provides streng…
Yang Chen, Yunwen Li, Yufan Shen, Minghao Liu, Tianyu Zheng, Bin Fu, et al.
Recent advancements in LVLMs necessitate robust benchmarks for complex, visually grounded reasoning. A critical limitation is identified in many document understanding benchmarks: visual content is often reducible to text, enabling high performance without genuine visual groundin…
Yi Jia, Rongjun Ge, Yang Chen, Yan Xi, Wenjun Xia
Mobile C-arm cone-beam computed tomography (CBCT) has been widely used for real-time intraoperative 3D imaging. However, current practice often mechanically applies the fan-beam CT criterion of "180° plus fan angle" in pursuit of "data completeness" in reconstruction. This review…
Zhifeng Kong, Sang-gil Lee, Jaehyeon Kim, Boxin Wang, Zihan Liu, Sungwon Kim, et al.
Audio intelligence involves understanding, reasoning about, and generating both audio and speech. In this work, we introduce Nemotron-Labs-Audex-30B-A3B (Audex), a unified audio-text LLM built on Nemotron-Cascade-2-30B-A3B, a strong text-only MoE LLM. Audex adopts a simple unifie…
Mengying Zhou, Yongjie Yin, Haoyan Xin, Guoping Liu, Yang Chen
Acquiring comprehensive cross-domain biomedical profiles is often costly and time-consuming, resulting in severe data scarcity in medical research. To address this challenge, we propose MedKGTab, a knowledge-injected framework specifically engineered for cross-domain feature expa…
Wenfei Cao, Yang Chen, Qibin Zhao, Jinglai Li, Andrzej Cichocki
With the emergence of various tensor data, tensor completion from partial measurements has attracted widespread attention in data science and signal processing. Total Variation (TV) has been widely used as an effective regularization technique for tensor completion; however, theo…