8 papers indexed
Zhong Junjie, Lin Wang, Yudi Luo, Bowen Luo, Xin Liu, Bojin Qin, et al.
Objective To investigate the association between the ovarian sensitivity index (OSI) and ovarian responsiveness, embryo quality, and pregnancy outcomes in women of advanced reproductive age (≥35 years) undergoing IVF-ET. Methods This retrospective cohort study included 1,055 fres…
Haotian Liu, Zhiqing Wei, Quanjiang Zhao, Lin Wang, Yunxin Geng, Xingwang Li, et al.
Multi-band integrated sensing and communication (ISAC) offers complementary high- and low-frequency echo information for multi-target sensing. However, existing dual-band ISAC sensing methods have a limited ability to exploit deep complementary information across heterogeneous ba…
Huzaifa Shaaban Kabakibo, Eric Schniedermeyer, Artem Burchanow, Lin Wang
Large Language Models (LLMs) have demonstrated remarkable capabilities across a range of Natural Language Processing (NLP) tasks, but their high computational and memory demands pose significant challenges for deployment on resource-constrained edge devices. Existing approaches t…
Chuanyu Yang, Yifeng Shao, Chengyang Jiang, Runmin Zhang, Jian Wang, Xinlin Chen, et al.
Background/Objectives: Individual responses to recombinant human growth hormone (rhGH) therapy in children with idiopathic short stature (ISS) vary substantially, limiting pretreatment decision-making. This study aimed to develop and externally validate an interpretable machine l…
Mohan Liu, Zhihao Gu, Xuanyu Chen, Haitian Zhang, Kaimin Mao, Yan Wu, et al.
Vision-Language-Action (VLA) models have emerged as a powerful end-to-end paradigm for robotic manipulation by mapping language instructions and 2D visual inputs directly to actions. However, these models lack an explicit, scene-level 3D representation, limiting their ability to…
Haitian Zhang, Thai Duy Nguyen, Xiangyuan Wang, Mohan Liu, Lin Wang
Multimodal semantic segmentation (MSS) is essential for robust perception in complex environments, yet its potential remains largely untapped because of the prohibitive cost of human annotations. While unsupervised semantic segmentation (USS) has achieved strong results on a sing…
Xuanyu Chen, Mohan Liu, Dengchen Mei, Zhihao Gu, Haitian Zhang, Kaimin Mao, et al.
Model-free reinforcement learning has enabled impressive humanoid locomotion; however, control on steep slopes remains largely unexplored. Unlike flat or discrete terrains, sloped terrains impose a persistent gravitational bias that demands simultaneous stability and posture cont…
Junjie Tang, Jun Huan, Hao Zhou, Yuhao Zhang, Lin Wang
Recent agentic approaches to LLM-based kernel generation have achieved impressive results on CUDA. For emerging AI accelerators such as AWS Trainium and Inferentia, automated kernel generation and optimization remain largely unaddressed. Writing kernels for these chips via the Ne…