Lin Wang

A minimum compensation radius framework for cross-scale emission–sequestration mismatch in mountainous provinces

Lin Wang, sen Yang, Jiahua Lu, junsan Zhao et autres

Carbon neutral planning in mountainous provinces is constrained less by aggregate sink supply than by the reachability of usable sinks under the persistent separation of emission corridors and high elevation ecosystems. We develop a cross scale mismatch diagnostic for Yunnan, China, by …

cn (code pays fourni par la source)

Experimental investigation and energy-saving potential evaluation of solar altitude-triggered passive windows

Siqi Liu, Sainan Li, Chunxiao Zhang, Lin Wang et autres

cn, us (code pays fourni par la source)

Experimental investigation of indoor natural daylighting environment of pressure-driven smart windows filled with Cu2+ solutions

Hongrui Xie, Sainan Li, Chunxiao Zhang, Lin Wang et autres

cn, us (code pays fourni par la source)

Byakangelicin attenuates vascular dementia by modulating the KDR–NOS3 axis: An integration of network pharmacology and experimental validation

Lin Wang, Yan Yan, Yu Qiao, Tengfei Guo et autres

Vascular dementia (VaD) is a major cause of cognitive impairment with limited treatment options. Byakangelicin (Byn), a natural coumarin compound, has shown potential neuroprotective effects, but its mechanism in VaD remains unclear. This study employed an integrated approach combining network pharmacology, molecular …

cn (code pays fourni par la source)

LLMind: Bio-inspired Training-free Adaptive Visual Representations for Vision-Language Models

Soumyaratna Debnath, Bui Duc Manh, Zinan Liu, Lin Wang

Vision-Language Models (VLMs) typically assume a uniform spatial fidelity across the entire field of view of visual inputs, dedicating equal precision to even the uninformative regions. By contrast, human vision is neither uniform nor static; it is adaptive, selective, and resource-efficient. In …

Reference-Free Omnidirectional Stereo Matching via Multi-View Consistency Maximization

Lehuai Xu, Weiming Zhang, Yang Li, Sidan Du et autres

Reliable omnidirectional depth estimation from multi-fisheye stereo matching is pivotal to many applications, such as embodied robotics. Existing approaches either rely on spherical sweeping with heuristic fusion strategies to build the cost columns or perform reference-centric stereo matching based on rectified views. …

Physics-Informed Policy Optimization via Analytic Dynamics Regularization

Namai Chandra, Liu Mohan, Zhihao Gu, Lin Wang

Reinforcement learning (RL) has achieved strong performance in robotic control; however, state-of-the-art policy learning methods, such as actor-critic methods, still suffer from high sample complexity and often produce physically inconsistent actions. This limitation stems from neural policies implicitly rediscovering complex physics from …

Beyond Single-Point Perturbation: A Hierarchical, Manifold-Aware Approach to Diffusion Attacks

Zhijie Wang, Lin Wang, Zhenyu Wen, Cong Wang

Latent Diffusion Models have become a powerful tool for generating high-fidelity unrestricted adversarial examples. However, the existing methods typically perturb only the initial latent or rely on prompt engineering, which is ill-suited to the iterative nature of the diffusion process, plus optimization …

cn (code pays fourni par la source)

PhysPatch: A Physically Realizable and Transferable Adversarial Patch Attack for Multimodal Large Language Models-based Autonomous Driving Systems

Qi Guo, Xiaojun Jia, Shanmin Pang, Simeng Qin et autres

Multimodal Large Language Models (MLLMs) are becoming integral to autonomous driving (AD) systems due to their strong vision-language reasoning capabilities. However, MLLMs are vulnerable to adversarial attacks—particularly adversarial patch attacks—which can pose serious threats in real-world scenarios. Existing patch-based attack methods are …

Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference

Matthew Kosko, Falco J, Bargagli-Stoffi, Lin Wang et autres

Kernel methods are widely used in causal inference for tasks such as treatment effect estimation, policy evaluation, and policy learning. The bootstrap is a standard tool for uncertainty quantification because of its broad applicability. As increasingly large datasets become available, such as …

EvDiff3D: Event-Aware Diffusion Repair for High-Fidelity Event-Based 3D Reconstruction

Kanghao Chen, Zixin Zhang, Hangyu Li, Lin Wang et autres

Event cameras are bio-inspired sensors that capture visual information through asynchronous brightness changes, offering distinct advantages including high temporal resolution and wide dynamic range. While prior research has investigated event-based 3D reconstruction for extreme scenarios, existing methods face inherent limitations and fail …

cn, sg (code pays fourni par la source)

Ev-iCRF: Self-supervised Event-guided iCRF Estimation for HDR Image Reconstruction

Xucheng Guo, Bing Li, Lin Wang, Yiran Shen

In this paper, we present Ev-iCRF, a novel self-supervised pipeline for high dynamic range (HDR) image reconstruction from a single-exposure low dynamic range (LDR) image, guided by asynchronous event streams generated by a bio-inspired event camera. The highlight of Ev-iCRF lies in …

cn, sg (code pays fourni par la source)