Fuqiang Yu

27 papers A* 4A 2B 1C 1Misc 1Journal 6Unranked 12
YearRankTypeTitle / Venue / Authors
2025 A conf
A Multi-Grained Perception Model for Sentiment Analysis with Perceived Contrastive Focal Loss.
ICME
Jin Wei, Jiajie Lin, Zhenguo Yang, Haoran Xie, Fuqiang Yu, Xiaoping Li
2025 J jnl
A Variant-Sensitive Malware Detection Method Based on Feature Contrast Enhancement.
IEEE Trans. Comput. Soc. Syst.
Shumian Yang, Jiarui Hu, Xin Li, Dawei Zhao, Lijuan Xu, Fuqiang Yu, Chunhui Wang
2025 — conf
ADD-TabNet: A Lightweight Tabular Deep Model for Evaluating Access Quality of Crowdtesting Subsystems.
HP3C
Fuqiang Yu, Xin Li, Lijuan Xu, Fenghua Tong, Dawei Zhao
2025 Misc conf
DCCT-Net: A Network Combined Dynamic CNN and Transformer for Image Compressive Sensing.
ICASSP
Lijuan Xu, Haixiao Mei, Fenghua Tong, Dawei Zhao, Fuqiang Yu
2025 — conf
DualCBR: Cross-Modal Collaborative Filtering with Bidirectional Alignment for Long-Tail Recommendation.
KSEM (5)
Xin Li, Lei Zhao, Dekai Zhang, Dawei Zhao, Lijuan Xu, Chunhui Wang, Fuqiang Yu
2025 J jnl
Dynamic malware detection based on supervised contrastive learning.
Comput. Electr. Eng.
Shumian Yang, Yongqi Yang, Dawei Zhao, Lijuan Xu, Xin Li, Fuqiang Yu, Jiarui Hu
2025 A* conf
ElaD-Net: An Elastic Semantic Decoupling Network for Lesion Segmentation in Breast Ultrasound Images.
IJCAI
Lijuan Xu, Kai Wang, Fuqiang Yu, Fenghua Tong, Mengran Li, Dawei Zhao
2025 J jnl
G-VAE: Variational autoencoder-based adversarial attacks and defenses in industrial control systems.
Comput. Electr. Eng.
Lijuan Xu, Zhi Yang, Dawei Zhao, Fuqiang Yu, Yang Zhou, Hu Zhang
2025 C conf
Multi-Level Privacy Preserving Scheme for Visual IoT Data Based on Compressive Sensing.
CSCWD
Dawei Zhao, Le Ju, Fenghua Tong, Fuqiang Yu, Xin Li
2025 A conf
Multi-Perspective Frequency Domain Learning for Generalizable AI-Generated Image Detection.
ECAI
Zili Xu, Jianjie Luo, Fuqiang Yu, Zhenguo Yang
2025 — conf
Resource Orchestration Method for Industrial Control Software Security Crowdsourcing Platform.
HP3C
Fenghua Tong, Jiming Dong, Dawei Zhao, Lijuan Xu, Fuqiang Yu
2024 J jnl
Addressing Concept Drift in IoT Anomaly Detection: Drift Detection, Interpretation, and Adaptation.
IEEE Trans. Sustain. Comput.
Lijuan Xu, Ziyu Han, Dawei Zhao, Xin Li, Fuqiang Yu, Chuan Chen
2024 — conf
Multi-Interest Granularity Guided Semi-Joint Learning for N-Successive POI Recommendation.
DASFAA (2)
Fuqiang Yu, Fenghua Tong, Dawei Zhao, Lijuan Xu, Ning Liu
2023 — conf
CMT: Cross-modal Memory Transformer for Medical Image Report Generation.
DASFAA (3)
Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Ziheng Cheng, Zhen Li, Yonghui Xu, Chunyan Miao
2023 A* conf
Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation.
ICDE
Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao
2023 B conf
GAITMM: Multi-Granularity Motion Sequence Learning for Gait Recognition.
ICIP
Lei Wang, Bo Liu, Bincheng Wang, Fuqiang Yu
2023 J jnl
HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion.
IEEE Trans. Neural Networks Learn. Syst.
Fuqiang Yu, Lizhen Cui, Huanhuan Chen, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu
2023 A* conf
MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation.
AAAI
Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu
2023 — conf
PAD-Net: An Efficient Framework for Dynamic Networks.
ACL (1)
Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao
2022 J jnl
Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks.
CoRR
Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao
2022 — conf
Feature-Guided Logical Perception Network for Health Risk Prediction.
BIBM
Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu
2022 — conf
KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis.
BIBM
Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu, Chunyan Miao
2022 — conf
KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer.
DASFAA (3)
Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, Yonghui Xu
2022 — conf
Similarity-Aware Collaborative Learning for Patient Outcome Prediction.
DASFAA (2)
Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu
2022 — conf
Temporal Hypergraph for Personalized Clinical Pathway Recommendation.
BIBM
Fanglin Zhu, Shunyu Chen, Yonghui Xu, Wei He, Fuqiang Yu, Xu Zhang, Lizhen Cui
2021 — conf
Parameter Optimization and Vibration Isolation Control of a Mobile Parallel Robot.
ICIRA (3)
Shuzhan Shentu, Xin-Jun Liu, Fugui Xie, Zhao Gong, Fuqiang Yu, Hongxi Cui
2020 A* conf
A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data.
WWW
Fuqiang Yu, Lizhen Cui, Wei Guo, Xudong Lu, Qingzhong Li, Hua Lu