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Yi Cai

5 papers indexed

arxiveess.SPphysics.optics2026-07-21

Cyclic-Prefix-Free OFDM With Tail-Reuse Reconstruction for Distributed Acoustic Sensing

Ziang Chen, Zhiyang Xue, Zhongxing Tian, Zeyu Feng, Dongdong Zou, Yi Cai, et al.

Orthogonal frequency-division multiplexing (OFDM) enables frequency-domain reconstruction of the distributed Rayleigh backscatter channel in coherent distributed acoustic sensing (DAS), but an explicitly transmitted cyclic prefix (CP) lengthens the probing period and reduces the…

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arxiveess.SP2026-07-19

Fourth-Order Cyclostationary Analysis of Power-Based Nonlinear Gardner Timing Error Detectors in Coherent Optical Systems

Zhongxing Tian, Zeyu Feng, Huan Huang, Dongdong Zou, Gangxiang Shen, Yi Cai

Power-based nonlinear Gardner timing error detectors (TEDs) can enhance clock-tone (CT) extraction in low-roll-off and bandwidth-limited coherent optical systems. However, their nonlinear power-domain operations make the extracted CT components depend on higher-order cyclic stati…

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arxivcs.AI2026-07-08

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning

Qi Peng, Jiatong Li, Sirui Huang, Yiyang Jiang, Kaisong Gong, Ronger Ding, et al.

Large language models (LLMs) have emerged as important tools in healthcare, showing growing potential for clinical reasoning and patient care. This survey examines recent progress in medical LLMs, focusing on reasoning applications and requirements. We present a dual-view approac…

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arxivcs.RO2026-07-08

Disturbance-aware Motion Planning for Over-actuated Underwater Vehicles Exploiting Actuation Redundancy for High-fidelity 3D Reconstruction

Yuer Gao, Tongqing Xu, Qingyang Liu, Yi Cai

Underwater robots often operate near delicate targets where high-power thrusters resuspend sediments and induce turbulence, degrading image quality at the sensor input. Conventional controllers optimize vehicle-centric objectives, such as tracking and stability, without accountin…

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arxivcs.AIcs.CLcs.MAcs.MM2026-06-28

Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning

Dayong Liang, Kaisong Gong, Yi Cai, Changmeng Zheng, Xiao-Yong Wei

Existing multi-agent debate frameworks suffer from two critical limitations: they rely on static architectures where agent roles and coordination patterns are fixed at design time, and they require instantiating multiple model copies, incurring substantial computational overhead.…

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