Xiongtao Zhang

A robust dual-attention network using SORS for non-destructive detection of butter adulteration through packaging

Zhenfang Liu, Yanhui Wu, Jungang Lou, Zhen Bi et autres

cn (code pays fourni par la source)

BiSGR-Att: A sequence recommendation model based on bidirectional simplified gated recurrent network with linear attention

Ruiqin Wang, Chi Fang, Xinyi Sui, Yubin Ren et autres

cn (code pays fourni par la source)

Physics-Informed Super-resolution reconstruction of through-packaging SORS spectra using Dual-attention generative networks

Jinlei Li, Zhenfang Liu, Jungang Lou, Zhen Bi et autres

cn, jp (code pays fourni par la source)

Predictor–Corrector Advanced Zeroing Neural Network for Combination of Nonlinear Equations and Bounded Inequalities

Ying Kong, Junjie Hao, Yunliang Jiang, Yuanqing Tang et autres

cn (code pays fourni par la source)

A born-again Takagi-Sugeno-Kang fuzzy classifier with decoupled fuzzy dark knowledge distillation

Xiongtao Zhang, Zezong Yin, Yunliang Jiang, Yizhang Jiang et autres

cn (code pays fourni par la source)

Synchronization of second-order Kuramoto model with frustration on strongly connected digraph

Tingting Zhu, Xiongtao Zhang

We study the emergent behavior of a second-order Kuramoto-type model with frustration effect on a strongly connected digraph. The main challenge arises from the lack of symmetry in this system, which renders standard approaches for symmetric models, such as the gradient-flow method …

Dynamic-static Siamese Takagi–Sugeno-Kang fuzzy system with inductive-reflection deep fuzzy rule

Xiongtao Zhang, Qihuan Shi, Yunliang Jiang, Qing Shen et autres

cn (code pays fourni par la source)

Divide-and-Merge Parallel Hierarchical Ensemble DNNs with Local Knowledge Augmentation

Zhibin Jiang, Shuai Dong, Kaining Liu, Jie Zhou et autres

Traditional deep neural networks (DNNs) often suffer from a time-consuming training process, which is restricted by accumulation of excessive network layers and a large amount of parameters. More neural units are required to be stacked to achieve desirable performance. Specifically, when dealing …

cn (code pays fourni par la source)

Message Passing Period-Aware Imputation Network for Spatial-Temporal Traffic Missing Data

Yunliang Jiang, Yuanqing Tang, Xiongtao Zhang, Jungang Lou et autres

Intelligent Transportation System (ITS) is a critical component of smart cities, however, certain issues significantly limit the construction of ITS. On the one hand, as the core resource of ITS, traffic data often suffers from missing values due to sensor failure, communication …

cn (code pays fourni par la source)

Trend-aware spatio-temporal fusion graph convolutional network with self-attention for traffic prediction

Xiongtao Zhang, Lijie Pan, Qing Shen, Zhenfang Liu et autres

cn (code pays fourni par la source)

Doc2Event: Extracting Chinese Document-Level Events into Generation Models

Guangshuai Ding, Xiongtao Zhang, Bin Lin, Xiaomin Zhu et autres

Current methodologies for document-level event extraction, particularly within Chinese textual data, face significant challenges, such as the extraction of isolated events and the imprecise delineation of event interrelationships. The advent of large language models, fortunately, offers a promising frontier for enhancing event …

Mctd: A Novel Multi-Channel Trend-Disentangled Framework with First-Order Differential Learning for Traffic Flow Prediction

Xiongtao Zhang, Lijie Pan, Yunliang Jiang, Zonghui Wang et autres

cn (code pays fourni par la source)