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Wei Liu

15 papers indexed

openalexFrontiers in Molecular Neuroscience2026-07-24

Brain heart crosstalk after ischemic stroke toward a unified framework for pathophysiology and precision medicine

P LI, Gao Y, Wei Liu

Background Acute ischemic stroke and cardiac dysfunction engage in a complex bidirectional interplay that critically determines patient outcomes. Despite growing recognition of the brain-heart axis, a comprehensive mechanistic framework integrating traditional and emerging pathwa…

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arxivcs.AIcs.CLcs.HCcs.MAcs.SE2026-07-23

HiMe: Real-Time Self-Hosted Personal Agent Platform for Health Insights with Wearable Devices

Wei Liu, Siya Qi, Linhai Zhang, Lorainne Tudor Car, Yulan He

Traditional approaches to wearable health signal analysis, such as smartwatches, are constrained by rigid analytical frameworks and limited personalisation. The emergence of LLM agents creates a new opportunity for Personal Health Agentic Analysis, where health insights can be ge…

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arxivcs.LGcs.AI2026-07-23

Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy

Jingyuan Li, Xiaoyi Jiang, Yixuan Jiang, Wei Liu, Yi Zhu, Zuoqiang Shi, et al.

Score Entropy Discrete Diffusion (SEDD) parameterizes discrete reverse processes with unconstrained positive score ratios. While positivity guarantees nonnegative reverse jump rates, it does not ensure Bayes realizability: ratios at a noisy state need not be jointly induced by an…

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arxivcs.CV2026-07-21

Dual-Edged Homogeneous-Modality Similarity: Towards Visible-Infrared Modality-Incomplete Person Re-Identification with Modality Adaptive Matching

Xin Xu, Shuhao Zhan, Wei Liu, Zheng Wang, Kui Jiang, Chia-Wen Lin

Visible-Infrared Person Re-Identification (VI-ReID) operates under a closed-world assumption, where queries and galleries are from heterogeneous modalities. However, in open-world scenarios, both sets are likely to contain homogeneous and heterogeneous modality images. A query ma…

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arxivcs.CV2026-07-20

FlowMimic: Mask-free Visual Editing and Generation with Pixel-pair Warped Flow Field for Online Video Editing Data Generation and Modality Mimicry

Dingyun Zhang, Lixue Gong, Wei Liu

In line with the prevailing direction of vision research, we explore the integration of both generation and editing capabilities for video and image modalities within a single model. Current approaches to collecting video editing data typically depend on labour-intensive, time-co…

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arxivcs.LG2026-07-20

SEE: Structure-aware Exploring \& Exploiting for Long-horizon GUI Agent Trajectory Synthesis

Zhuohang Fan, Beichen Zhang, Yuanfa Li, Changqiao Wu, Wei Liu, Jian Luan, et al.

Graphical User Interface (GUI) agents powered by vision-language models hold promise for automating real-world mobile tasks. However, progress is limited by the lack of high-coverage, long-horizon interaction trajectories collected from element-rich and rapidly evolving apps. Exi…

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arxivcs.CV2026-07-19

STBridge: Shared-Target Alignment for Bridging Understanding and Generation in UMMs

Ye Wang, Hongjun Wang, Hao Fang, Tongyuan Bai, Zuwei Long, Peixian Chen, et al.

Unified multimodal models (UMMs) aim to integrate visual understanding and generation within a single architecture, but architectural unification alone does not ensure semantic consistency. A model may describe the intended target correctly while generating an inconsistent edit.…

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arxiveess.SPeess.SY2026-07-17

A Kalman Filter-Assisted Data-Predictive SAR ADC With Reduced Switching Energy for Low-Power Applications

Xiyuan Feng, Yuxiang Zhao, Jie Xiong, Dian Lin, Yunlei Zhong, Wei Liu, et al.

The proliferation of Internet of Things (IoT) devices and wearable health monitors has created an urgent demand for ultra-low-power analog-to-digital converters (ADCs). Successive approximation register (SAR) ADCs are widely used in such applications, yet their energy efficiency…

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arxiveess.SP2026-07-14

DOA Estimation from One-Bit Magnitude-Only Measurements via Sign-Consistency Optimization

Xicheng Lu, Wei Liu, Akram Alomainy

The direction-of-arrival (DOA) estimation problem using one-bit quantized magnitude-only measurements is studied, where magnitude-only measurements offer robustness against phase errors, thereby avoiding the need for array calibration, while one-bit quantization significantly red…

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arxivcs.HCcs.AIcs.CV2026-07-04

Scalable Semantic Steering of Embedding Projections

Wei Liu, Eric Krokos, Kirsten Whitley, Rebecca Faust, Chris North

Low-dimensional projections support interactive visual analysis of high-dimensional data embeddings, but their structure often does not align with analyst-defined semantic relationships. Recent LLM-augmented semantic steering methods address this gap by externalizing analyst inte…

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arxivcs.AI2026-07-04

Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process

Zican Hu, Xuyang Hu, Yiming Liu, Zuwei Long, Wei Liu, Yunzhuo Hao, et al.

Unified multi-modal models (UMMs) have shown promising interleaved text-image reasoning capabilities, yet effectively optimizing such multi-turn generation via reinforcement learning (RL) remains an open challenge. Existing approaches apply RL exclusively to text steps, relegatin…

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arxivcs.CVcs.CLcs.LG2026-06-25

DanceOPD: On-Policy Generative Field Distillation

Wei Zhou, Xiongwei Zhu, Zelin Xu, Bo Dong, Lixue Gong, Yongyuan Liang, et al.

Modern image generation demands a single model that unifies diverse capabilities, including text-to-image (T2I), local editing, and global editing. However, these capabilities are rarely naturally aligned and often conflict. For instance, editing tends to degrade T2I performance,…

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crossrefAgriculture2025-04-29Cited by 1

Developing an Uncrewed Aerial Vehicle (UAV)-Based Prediction Model for the Rice Harvest Index Using Machine Learning

Zhaoyang Pan, Zhanhua Lu, Liting Zhang, Wei Liu, Xiaofei Wang, Shiguang Wang, et al.

(1) Background: The harvest index is important for measuring the correlation between grain yield and aboveground biomass. However, the harvest index can only be measured after a mature harvest. If it can be obtained in advance during the growth period, it will promote research on…

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