Study on WPS Implement Framework with Shark Workflow. - Weijie He; Guoqing Li; Jing Zhang; Wenyang Yu; Jibo Xie (GCC, 2010)

Research of Intelligent Evacuation System. - Weijie He; Zhouxiong Wu; Qingrui Liu (ICICA (2), 2013)

EarTouch: Facilitating Smartphone Use for Visually Impaired People in Mobile and Public Scenarios. - Ruolin Wang; Chun Yu; Xing-Dong Yang; Weijie He; Yuanchun Shi (CHI, 2019)

FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks. - Weijie He; Xiaohao Mao; Chao Ma 019; José Miguel Hernández-Lobato; Ting Chen 006 (CoRR, 2020)

Self Adjusting Exosuit for Shoulder. - Weijie He; Wuxiang Zhang; Xilun Ding (ICIRA (1), 2021)

Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning. - Weijie He; Ting Chen (KDD, 2022)

BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis. - Weijie He; Xiaohao Mao; Chao Ma 019; Yu Huang; José Miguel Hernández-Lobato; Ting Chen 006 (WWW, 2022)

TransFA: Transformer-based Representation for Face Attribute Evaluation. - Decheng Liu; Weijie He; Chunlei Peng; Nannan Wang 001; Jie Li 001; Xinbo Gao 001 (CoRR, 2022)

Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs. - Siyuan Zhang; Yuanxin Ouyang; Zhuang Liu 004; Weijie He; Wenge Rong; Zhang Xiong 001 (KSEM (3), 2023)

SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios. - Mushui Liu; Weijie He; Ziqian Lu; Yunlong Yu (CoRR, 2023)

Enhancing Utility in Differential Privacy Models Through Feature Extraction and Knowledge Distillation. - Shuyao He; Ting Xu; Fangzhou Shen; Weijie He; Haowei Yang (DSPP (2), 2024)

Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection. - Weijie He; Runyuan Bao; Yiru Cang; Jianjun Wei; Yang Zhang; Jiacheng Hu (ICBASE, 2024)

Disentangled Hierarchical Attention Graph Neural Network for Recommendation. - Weijie He; Yuanxin Ouyang; Keqin Peng; Wenge Rong; Zhang Xiong 001 (ICIC (LNAI 1), 2024)

Co-Optimization Strategy of Island Distribution Grid and Time-of-Use Pricing Considering the Time Response Characteristics of Multiple Interruptible Loads. - Weijie He; Lanxuan Guo; Wenhao Yang; Xiangning Lin; Fanrong Wei; Samir M. Dawoud (IEEE Access, 2024)

Integrating Medical Imaging and Clinical Reports Using Multimodal Deep Learning for Advanced Disease Analysis. - Ziyan Yao; Fei Lin; Sheng Chai; Weijie He; Lu Dai; Xinghui Fei (CoRR, 2024)

Hybrid Mask Generation for Infrared Small Target Detection with Single-Point Supervision. - Weijie He; Mushui Liu; Yunlong Yu; Zheming Lu 001; Xi Li (CoRR, 2024)

Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study. - Jiacheng Hu; Yiru Cang; Guiran Liu; Meiqi Wang; Weijie He; Runyuan Bao (CoRR, 2024)

Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis. - Junliang Du; Yiru Cang; Tong Zhou; Jiacheng Hu; Weijie He (CoRR, 2024)

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data. - Weijie He; Tong Zhou; Yanlin Xiang; Yang Lin; Jiacheng Hu; Runyuan Bao (CoRR, 2024)

SFBDA: A Semantic-Decoupled Data Augmentation Framework for Infrared Few-Shot Object Detection on UAVs. - Zhenhai Weng; Weijie He; Jianfeng Lv; Dong Zhou 002; Zhongliang Yu 003 (IEEE Geosci. Remote. Sens. Lett., 2025)

Synth-CLIP: Synthetic data make CLIP generalize better in data-limited scenarios. - Mushui Liu; Weijie He; Ziqian Lu; Jun Dan; Yunlong Yu; Yingming Li; Xi Li 001; Jungong Han (Neural Networks, 2025)

Object Detection for Medical Image Analysis: Insights from the RT-DETR Model. - Weijie He; Yuwei Zhang; Ting Xu; Tai An; Yingbin Liang; Bo Zhang (CoRR, 2025)

Privacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection. - Shaobo Liu; Zihao Zhao; Weijie He; Jiren Wang; Jing Peng; Haoyuan Ma (CoRR, 2025)

DyST-XL: Dynamic Layout Planning and Content Control for Compositional Text-to-Video Generation. - Weijie He; Mushui Liu; Yunlong Yu; Zhao Wang; Chao Wu (CoRR, 2025)

CoAR: Concept Injection into Autoregressive Models for Personalized Text-to-Image Generation. - Fangtai Wu; Mushui Liu; Weijie He; Wanggui He; Hao Jiang; Zhao Wang; Yunlong Yu (CoRR, 2025)