Application of Active Service Component in Intelligent Investigation System of Specialty Provision. - Yousheng Liu; Yuxian Wang; Huazhi Xiao (IFITA (3), 2009)

An Electrochemical Sensor Based on Gold-Nanocluster-Modified Graphene Screen-Printed Electrodes for the Detection of β-Lactoglobulin in Milk. - Jingyi Hong; Yuxian Wang; Liying Zhu; Ling Jiang (Sensors, 2020)

Predicting Hepatoma-Related Genes Based on Representation Learning of PPI network and Gene Ontology Annotations. - Tao Wang 082; Zhiyuan Shao; Yifu Xiao; Xuchao Zhang; Yitian Chen; Binze Shi; Siyu Chen; Yuxian Wang; Jiajie Peng; Xuequn Shang 001 (BIBM, 2021)

An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction. - Jiajie Peng; Yuxian Wang; Jiaojiao Guan; Jingyi Li; Ruijiang Han; Jianye Hao; Zhongyu Wei; Xuequn Shang 001 (Briefings Bioinform., 2021)

A Depthwise Separable Fully Convolutional ResNet With ConvCRF for Semisupervised Hyperspectral Image Classification. - Yuxian Wang; Kui Li; Linlin Xu; Qian Wei; Fang Wang; Ye Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A network-based method for brain disease gene prediction by integrating brain connectome and molecular network. - Wei Wang; Ruijiang Han; Menghan Zhang; Yuxian Wang; Tao Wang 082; Yongtian Wang; Xuequn Shang 001; Jiajie Peng (Briefings Bioinform., 2022)

A review and performance evaluation of clustering frameworks for single-cell Hi-C data. - Caiwei Zhen; Yuxian Wang; Jiaquan Geng; Lu Han; Jingyi Li; Jinghao Peng; Tao Wang 082; Jianye Hao; Xuequn Shang 001; Zhongyu Wei; Peican Zhu; Jiajie Peng (Briefings Bioinform., 2022)

A Spatial-Temporal Depth-Wise Residual Network for Crop Sub-Pixel Mapping from MODIS Images. - Yuxian Wang; Yuan Fang 003; Wenlong Zhong; Rongming Zhuo; Junhuan Peng; Linlin Xu (Remote. Sens., 2022)

BCUN: Bayesian Fully Convolutional Neural Network for Hyperspectral Spectral Unmixing. - Yuan Fang 003; Yuxian Wang; Linlin Xu; Rongming Zhuo; Alexander Wong; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2022)

Gene selection in a gene decision space with application to gene expression data classification. - Yuxian Wang; Zhaowen Li; Jie Zhang; Guangji Yu (J. Intell. Fuzzy Syst., 2023)

Subpixel Mapping for Remote Sensing Imagery Based on Spatial Adaptive Attraction Model and Conditional Random Fields. - Yujia Chen 002; Cheng Huang; Cheng Yang; Junhuan Peng; Jun Zhang; Yuxian Wang; Zhengxue Yao; Guang Chen; Wenhua Yu; Qinghao Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Unsupervised Bayesian Subpixel Mapping Autoencoder Network for Hyperspectral Images. - Yuan Fang 003; Yuxian Wang; Linlin Xu; Yujia Chen 002; Alexander Wong; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2023)

DFinder: a novel end-to-end graph embedding-based method to identify drug-food interactions. - Tao Wang 082; Jinjin Yang; Yifu Xiao; Jingru Wang; Yuxian Wang; Xi Zeng; Yongtian Wang; Jiajie Peng (Bioinform., 2023)

A Spatial-Temporal Bayesian Deep Image Prior Model for Moderate Resolution Imaging Spectroradiometer Temporal Mixture Analysis. - Yuxian Wang; Rongming Zhuo; Linlin Xu; Yuan Fang 003 (Remote. Sens., 2023)

Sleep CLIP: A Multimodal Sleep Staging Model Based on Sleep Signals and Sleep Staging Labels. - Weijia Yang; Yuxian Wang; Jiancheng Hu; Tuming Yuan (Sensors, 2023)

A Transformer Model for Coastline Prediction in Weitou Bay, China. - Zhihai Yang; Guangjun Wang; Lei Feng; Yuxian Wang; Guowei Wang; Sihai Liang (Remote. Sens., 2023)

Gene selection in a single cell gene decision space based on class-consistent technology and fuzzy rough iterative computation model. - Jie Zhang; Guangji Yu; Dan Huang; Yuxian Wang (Appl. Intell., 2023)

Identifying brain disease genes via integrating brain imaging and molecular network. - Wei Wang; Yuxian Wang; Jiajie Peng (BIBM, 2024)

Finding Community Modules for Brain Networks Combined Uniform Design With Marine Predators Algorithm. - Yuxian Wang; Junhong Feng; Jie Zhang 072; Yongsong Chen (IEEE Access, 2024)

A multi-objective particle swarm optimization for matching domain ontologies. - Xueqin Kou; Junhong Feng; Yuxian Wang; Wei Cui (Internet Technol. Lett., 2024)

ToolACE: Winning the Points of LLM Function Calling. - Weiwen Liu; Xu Huang 008; Xingshan Zeng; Xinlong Hao; Shuai Yu; Dexun Li; Shuai Wang 020; Weinan Gan; Zhengying Liu; Yuanqing Yu; Zezhong Wang 004; Yuxian Wang; et al. (ICLR, 2025)

Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning. - Yirong Zeng; Xiao Ding; Yuxian Wang; Weiwen Liu; Wu Ning; Yutai Hou; Xu Huang 008; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

Process Reward Modeling with Entropy-Driven Uncertainty. - Lang Cao; Renhong Chen; Yingtian Zou; Chao Peng; Wu Ning; Huacong Xu; Qian Chen; Yuxian Wang; Peishuo Su; Mofan Peng; Zijie Chen; Yitong Li (CoRR, 2025)

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution. - Xu Huang 008; Weiwen Liu; Xingshan Zeng; Yuefeng Huang; Xinlong Hao; Yuxian Wang; Yirong Zeng; Chuhan Wu; Yasheng Wang; Ruiming Tang; Defu Lian (CoRR, 2025)

Gene selection for single cell RNA-seq data via fuzzy rough iterative computation model. - Zhaowen Li; Jie Zhang 072; Yuxian Wang; Fang Liu; Ching-Feng Wen (Artif. Intell. Rev., 2025)