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Ying Wang

10 papers indexed

openalexFood, Nutrition and Health.2026-07-24

Phase-specific adaptations in masticatory muscle activity in older adults during chewing of foods with different textural properties

Ying Wang, Xinwei Xiong, Ting Wu, Guoxun Chen

Abstract Aging alters oral function and chewing behavior. This study employed surface electromyography to investigate age-related adaptations in muscle activity across chewing phases. Fifteen younger adults (22–28 years) and fifteen older adults (65–75 years) habitually chewed th…

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openalexFrontiers in Aging Neuroscience2026-07-24

Disrupted structural covariance network in presbycusis patients: evidence from a large sample mri-based morphometric study

Qi Yan, Ying Wang, Li Xu, Baoxu Liu, Bin Zhu, Song’an Shang, et al.

Background Presbycusis is characterized by progressive age-related hearing loss and is often associated with cognitive decline and mental health disorders. Objective This study aimed to investigate gray matter volume (GMV) alterations and structural covariance network (SCN) reorg…

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arxiveess.SP2026-07-20

Tensor-Based Dynamic Channel Estimation for mmWave Movable Antenna MIMO Systems

Zhendong Li, Linchu Chen, Lin Chen, Zhou Su, Ruoyu Zhang, Guangji Chen, et al.

This paper investigates the dynamic channel estimation algorithm in mmWave movable antenna (MA) multiple-input multiple-output (MIMO) systems. To achieve highly accurate channel estimation, we propose a tensor decomposition-based channel estimation algorithm. First, by leveraging…

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arxivcs.SEcs.AI2026-07-18

CLOSER-Bench: Evaluating Budgeted Cross-Stage Design Closure for Hardware Agents

Peilong Zhou, Zhirong Chen, Cangyuan Li, Haoyu Gao, Kaiyan Chang, Ziming Qu, et al.

Hardware engineering exposes coding agents to a form of long-horizon work that is difficult to capture with pass-at-k: progress is continuous, tool feedback is delayed and heterogeneous, and a backend failure may require revising RTL rather than tuning another physical-design par…

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arxivcs.DBcs.AIcs.MA2026-06-29

Experience Graphs: The Data Foundation for Self-Improving Agents

Gang Liao, Yujia He, Abdullah Ozturk, Zhouyang Li, Ying Wang, Zhitong Guo, et al.

The database community has repeatedly advanced the state of the art by recognizing that new workloads demand new system architectures. We argue that long-horizon agentic tasks -- code generation, scientific discovery, hardware design -- are such a workload. These agents explore:…

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arxivcs.ARcs.LG2026-06-28

Harvesting AI Computation at the Edge via Generic Approximation

Yihan Wang, Huiru Yan, Luxin Zhang, Long Cheng, Weiwei Chen, Ying Wang, et al.

With the widespread adoption of AI in various IoT scenarios such as smart sensing and processing, AI chips have become a common component at the edge. These chips are typically specialized for structured neural network (NN) processing and are designed to meet peak workload demand…

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