Weijie He - RankMe

31 papers A* 3Journal 21Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TransFA: Transformer-based representation for face attribute evaluation. Pattern Recognit. Decheng Liu, Weijie He, Chunlei Peng, Nannan Wang, Jie Li, Xinbo Gao
2025	J	`jnl`	CoAR: Concept Injection into Autoregressive Models for Personalized Text-to-Image Generation. CoRR Fangtai Wu, Mushui Liu, Weijie He, Wanggui He, Hao Jiang, Zhao Wang, Yunlong Yu
2025	J	`jnl`	DyST-XL: Dynamic Layout Planning and Content Control for Compositional Text-to-Video Generation. CoRR Weijie He, Mushui Liu, Yunlong Yu, Zhao Wang, Chao Wu
2025	J	`jnl`	Enhancing Device-Free Gesture Recognition Capability of Mobile Communication Signals. IEEE Trans. Commun. Jingmiao Wu, Weijie He, Kai Sun, Wei Huang, Haijun Zhang, Victor C. M. Leung
2025	J	`jnl`	Hybrid mask generation for infrared small target detection with single-point supervision. Neurocomputing Weijie He, Mushui Liu, Yunlong Yu
2025	J	`jnl`	Light-Weight Cross-Modal Enhancement Method with Benchmark Construction for UAV-based Open-Vocabulary Object Detection. CoRR Zhenhai Weng, Xinjie Li, Can Wu, Weijie He, Jianfeng Lv, Dong Zhou, Zhongliang Yu
2025	J	`jnl`	Object Detection for Medical Image Analysis: Insights from the RT-DETR Model. CoRR Weijie He, Yuwei Zhang, Ting Xu, Tai An, Yingbin Liang, Bo Zhang
2025	J	`jnl`	Privacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection. CoRR Shaobo Liu, Zihao Zhao, Weijie He, Jiren Wang, Jing Peng, Haoyuan Ma
2025	J	`jnl`	SFBDA: A Semantic-Decoupled Data Augmentation Framework for Infrared Few-Shot Object Detection on UAVs. IEEE Geosci. Remote. Sens. Lett. Zhenhai Weng, Weijie He, Jianfeng Lv, Dong Zhou, Zhongliang Yu
2025	J	`jnl`	Synth-CLIP: Synthetic data make CLIP generalize better in data-limited scenarios. Neural Networks Mushui Liu, Weijie He, Ziqian Lu, Jun Dan, Yunlong Yu, Yingming Li, Xi Li, Jungong Han
2024	—	`conf`	Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection. ICBASE Weijie He, Runyuan Bao, Yiru Cang, Jianjun Wei, Yang Zhang, Jiacheng Hu
2024	J	`jnl`	Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection. CoRR Weijie He, Runyuan Bao, Yiru Cang, Jianjun Wei, Yang Zhang, Jiacheng Hu
2024	J	`jnl`	Co-Optimization Strategy of Island Distribution Grid and Time-of-Use Pricing Considering the Time Response Characteristics of Multiple Interruptible Loads. IEEE Access Weijie He, Lanxuan Guo, Wenhao Yang, Xiangning Lin, Fanrong Wei, Samir M. Dawoud
2024	J	`jnl`	Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study. CoRR Jiacheng Hu, Yiru Cang, Guiran Liu, Meiqi Wang, Weijie He, Runyuan Bao
2024	J	`jnl`	Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data. CoRR Weijie He, Tong Zhou, Yanlin Xiang, Yang Lin, Jiacheng Hu, Runyuan Bao
2024	J	`jnl`	Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis. CoRR Junliang Du, Yiru Cang, Tong Zhou, Jiacheng Hu, Weijie He
2024	—	`conf`	Disentangled Hierarchical Attention Graph Neural Network for Recommendation. ICIC (LNAI 1) Weijie He, Yuanxin Ouyang, Keqin Peng, Wenge Rong, Zhang Xiong
2024	—	`conf`	Enhancing Utility in Differential Privacy Models Through Feature Extraction and Knowledge Distillation. DSPP (2) Shuyao He, Ting Xu, Fangzhou Shen, Weijie He, Haowei Yang
2024	J	`jnl`	Hybrid Mask Generation for Infrared Small Target Detection with Single-Point Supervision. CoRR Weijie He, Mushui Liu, Yunlong Yu, Zheming Lu, Xi Li
2024	J	`jnl`	Integrating Medical Imaging and Clinical Reports Using Multimodal Deep Learning for Advanced Disease Analysis. CoRR Ziyan Yao, Fei Lin, Sheng Chai, Weijie He, Lu Dai, Xinghui Fei
2023	—	`conf`	Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs. KSEM (3) Siyuan Zhang, Yuanxin Ouyang, Zhuang Liu, Weijie He, Wenge Rong, Zhang Xiong
2023	J	`jnl`	SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios. CoRR Mushui Liu, Weijie He, Ziqian Lu, Yunlong Yu
2022	A*	`conf`	BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis. WWW Weijie He, Xiaohao Mao, Chao Ma, Yu Huang, José Miguel Hernández-Lobato, Ting Chen
2022	A*	`conf`	Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning. KDD Weijie He, Ting Chen
2022	J	`jnl`	Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning. CoRR Weijie He, Ting Chen
2022	J	`jnl`	TransFA: Transformer-based Representation for Face Attribute Evaluation. CoRR Decheng Liu, Weijie He, Chunlei Peng, Nannan Wang, Jie Li, Xinbo Gao
2021	—	`conf`	Self Adjusting Exosuit for Shoulder. ICIRA (1) Weijie He, Wuxiang Zhang, Xilun Ding
2020	J	`jnl`	FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks. CoRR Weijie He, Xiaohao Mao, Chao Ma, José Miguel Hernández-Lobato, Ting Chen
2019	A*	`conf`	EarTouch: Facilitating Smartphone Use for Visually Impaired People in Mobile and Public Scenarios. CHI Ruolin Wang, Chun Yu, Xing-Dong Yang, Weijie He, Yuanchun Shi
2013	—	`conf`	Research of Intelligent Evacuation System. ICICA (2) Weijie He, Zhouxiong Wu, Qingrui Liu
2010	—	`conf`	Study on WPS Implement Framework with Shark Workflow. GCC Weijie He, Guoqing Li, Jing Zhang, Wenyang Yu, Jibo Xie