Xiao Hua Wang

Wave-farm impacts on the wave characteristics and wave-resource characterization: A case study

Thi Ngoc Diep Nguyen, Xiao Hua Wang, Van Tuan Nguyen

The structured-grid Simulating Waves Nearshore (SWAN) model (resolution ∼450 m and ∼35 m) was used to assess the impact of five Wave Dragon wave-energy converters (WECs) on wave conditions and wave resources on the coast at Vung Tron, Vietnam. Four scenarios were …

vn (code pays fourni par la source)

Combining Mendelian randomization and experimental approaches for the identification of miRNAs related to major depressive disorder

Linlin Cao, Kristina Sundquist, Yujie Zhang, Ashfaque Ahmed Memon et autres

BACKGROUND: A growing body of evidence links microRNAs (miRNAs) to major depressive disorder (MDD). However, the causal nature of these associations remains unclear. OBJECTIVES: This study aimed to investigate the potential causal association between miRNAs and MDD by combining Mendelian Randomization (MR) …

se, cn, mo (code pays fourni par la source)

Overcoming the Trade-off between Toughness and Stiffness of Fully Polymer-based Alloys by Elastomeric Salami Particles through Reactive Blending

Yan Xia, Ming-Hui Sang, Xiao Hua Wang, Ning He et autres

cn (code pays fourni par la source)

Supplementary document for Dual-Functional Integration of Direct Photoinitiation and Luminescence in an Aggregation-Induced Emission (AIE) dye -Monomer Resin - 7736684.pdf

MingJie Lei, Qiao Ling Hu, JiaLong Li, Jingwei Zhang et autres

Supplement 1

Dual-functional integration of direct photoinitiation and luminescence in an aggregation-induced emission (AIE) dye-monomer resin

MingJie Lei, Qiao Hu, JiaLong Li, Jingwei Zhang et autres

The ability to shape materials into precise three-dimensional geometries is crucial for advanced light-emitting functional devices. While laser nanoprinting enables the fabrication of custom 3D nanostructures, its reliance on two-photon polymerization (TPP) typically demands photoinitiators. This requirement complicates the integration of luminescent …

SLCFormer: Spectral-Local Context Transformer with Physics-Grounded Flare Synthesis for Nighttime Flare Removal

Association for Artificial Intelligence 2026, Xiao Hua Wang, Wei Wang, Xin Yuan et autres

Lens flare is a common nighttime artifact caused by strong light sources scattering within camera lenses, leading to hazy streaks, halos, and glare that degrade visual quality. However, existing methods usually fail to effectively address nonuniform scattered flares, which severely reduces their …

When Person Re-Identification Meets Event Camera: A Benchmark Dataset and an Attribute-Guided Re-Identification Framework

Association for Artificial Intelligence 2026, Bo Jiang, Xiao Hua Wang, Shujuan Wu et autres

Recent researchers have proposed using event cameras for person re-identification (ReID) due to their promising performance and better balance in terms of privacy protection, event camera-based person ReID has attracted significant attention. Currently, mainstream event-based person ReID algorithms primarily focus on fusing …

cn (code pays fourni par la source)

Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem

Association for Artificial Intelligence 2026, Utku ACIKALIN, Brandon Bills, Carla P. Gomes et autres

We introduce the Probabilistic Coin Change Problem (PCCP), a novel variant of the classical Combination Coin Change Problem (CCCP), motivated by a real-world scientific inverse task. The goal of CCCP is to enumerate all unordered combinations of coin denominations that sum to …

us (code pays fourni par la source)

DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting

Association for Artificial Intelligence 2026, Jing Chen, Shuo Li, Daojun Liang et autres

Time-Series (TS) exhibits pronounced non-stationarity. Consequently, most forecasting methods display compromised robustness to concept drift, despite the prevalent application of instance normalization. We tackle this challenge by first analysing concept drift through a bias-variance lens and proving that weighted ensemble reduces variance …

us (code pays fourni par la source)

Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intents

Association for Artificial Intelligence 2026, Shuang Liang, Ke Qin, Xiao Hua Wang et autres

Session-based recommendation (SBR) aims to predict anonymous users' next interaction based on their interaction sessions. In practical recommendation scenario, low-exposure items constitute the majority of interactions, creating a long-tail distribution that severely compromises recommendation diversity. Existing approaches attempt to address this issue …

10 - Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intents

Association for Artificial Intelligence 2026, Shuang Liang, Ke Qin, Xiao Hua Wang et autres

Session-based recommendation (SBR) aims to predict anonymous users' next interaction based on their interaction sessions. In practical recommendation scenario, low-exposure items constitute the majority of interactions, creating a long-tail distribution that severely compromises recommendation diversity. Existing approaches attempt to address this issue …

Supplementary document for High-fidelity orbital angular momentum spectrum reconstruction via sparse intensity measurements - 7671668.pdf

Jingjing Zhang, Xiao Hua Wang, Guangdong Ma, Ruifeng Liu et autres

technical details of our proposed iterative phase retrieval algorithm