Parallel Genetic Algorithm Model Based on AHP and Neural Networks for Enterprise Comprehensive Business. - Xilong Qu; Jian Feng; Wenfang Sun (IIH-MSP, 2008)

Research on Entropy Model of Order Degree of Fractal Supply Chain Network. - Wenfang Sun; Huaizhen Ye (ISECS, 2008)

The Total Entropy Model of Fractal Supply Chain Network System. - Xilong Qu; Zhongxiao Hao; Wenfang Sun (J. Comput., 2011)

Entropy Evaluation Model of Fractal Integration of the Knowledge of Supply Chain. - Wenfang Sun; Linfeng Bai; Xilong Qu (J. Comput., 2012)

Gradable Cloud Detection in Four-Band Remote Sensing Images. - Shuwei Hou; Wenfang Sun; Baolong Guo; Xiaobo Li; Huachao Xiao (IoTaaS, 2018)

Adaptive-SFSDAF for Spatiotemporal Image Fusion that Selectively Uses Class Abundance Change Information. - Shuwei Hou; Wenfang Sun; Baolong Guo 001; Cheng Li 017; Xiaobo Li; Yingzhao Shao; Jianhua Zhang (Remote. Sens., 2020)

A dense connection encoding-decoding convolutional neural network structure for semantic segmentation of thymoma. - Jingyuan Li; Wenfang Sun; Xiulong Feng; Gang Xing; Karen M. von Deneen; Wen Wang 004; Yi Zhang 094; Guang-Bin Cui (Neurocomputing, 2021)

NTIRE 2022 Spectral Demosaicing Challenge and Data Set. - Boaz Arad; Radu Timofte; Rony Yahel; Nimrod Morag; Amir Bernat; Yaqi Wu; Xun Wu; Zhihao Fan; Chenjie Xia; Feng Zhang 047; Shuai Liu 009; Yongqiang Li; et al. (CVPR Workshops, 2022)

A 2.5D semantic segmentation of the pancreas using attention guided dual context embedded U-Net. - Jingyuan Li; Guanqun Liao; Wenfang Sun; Ji Sun; Tai Sheng; Kaibin Zhu; Karen M. von Deneen; Yi Zhang 094 (Neurocomputing, 2022)

RFSDAF: A New Spatiotemporal Fusion Method Robust to Registration Errors. - Shuwei Hou; Wenfang Sun; Baolong Guo 001; Xiaodong Li 006; Jianhua Zhang; Changzhi Xu; Xiaobo Li; Yingzhao Shao; Cheng Li 017 (IEEE Trans. Geosci. Remote. Sens., 2022)

MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks. - Wenfang Sun; Yingjun Du; Xiantong Zhen; Fan Wang; Ling Wang; Cees G. M. Snoek (ICML, 2023)

Multispectral Image Demosaicking Based on Multi-scale Dense Connections and Large-kernel Attention. - Shufang Yu; Beibei Song; Wenwang Du; Jieran Yuan; Wenfang Sun (ICTAI, 2023)

HHTrack: Hyperspectral Object Tracking Based on Hybrid Attention. - Yuedong Tan; Wenfang Sun; Jieran Yuan; Wenwang Du; Zhe Wang; Nan Mao; Beibei Song (WHISPERS, 2023)

MG-Net: Multi-level global-aware network for thymoma segmentation. - Jingyuan Li; Wenfang Sun; Karen M. von Deneen; Xiao Fan; Gang An; Guangbin Cui; Yi Zhang 094 (Comput. Biol. Medicine, 2023)

dFCNetCNN: An Interpretable Spatiotemporal Convolutional Model Based on Dynamic Functional Connectivity. - Xiao Fan; Jingyuan Li; Hailin Huang; Yufei Dong; Guanya Li; Wenchao Zhang; Hu Yang; Wenfang Sun; Yi Zhang (CIVEMSA, 2024)

CKT-RCM: Clip-Based Knowledge Transfer and Relational Context Mining for Unbiased Panoptic Scene Graph Generation. - Nanhao Liang; Yong Liu; Wenfang Sun; Yingwei Xia; Fan Wang (ICASSP, 2024)

IPO: Interpretable Prompt Optimization for Vision-Language Models. - Yingjun Du; Wenfang Sun; Cees Snoek (NeurIPS, 2024)

Event-Triggered Finite-Time Tracking Control of Unmanned Surface Vessel Using Neural Network Prescribed Performance. - Yuan Liu; Li Zhao; Wenfang Sun; Qing Wang; Guoxing Li; Haiyang Guo; Xinxiang Zhang; Jiaming Zhang; Zhiqing Bai (IEEE Access, 2024)

Training-Free Semantic Segmentation via LLM-Supervision. - Wenfang Sun; Yingjun Du; Gaowen Liu; Ramana Kompella; Cees G. M. Snoek (CoRR, 2024)

QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain. - Wenfang Sun; Yingjun Du; Gaowen Liu; Cees G. M. Snoek (CoRR, 2024)

HotMoE: Exploring Sparse Mixture-of-Experts for Hyperspectral Object Tracking. - Wenfang Sun; Yuedong Tan; Jingyuan Li; Shuwei Hou; Xiaobo Li; Yingzhao Shao; Zhe Wang; Beibei Song (IEEE Trans. Multim., 2025)

The Curse of Depth in Large Language Models. - Wenfang Sun; Xinyuan Song; Pengxiang Li; Lu Yin 006; Yefeng Zheng 001; Shiwei Liu 003 (CoRR, 2025)