Yude Bai

According to our database, Yude Bai authored at least 33 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rubato: Efficient Post-Quantum Asynchronous Distributed Randomness Beacon With Integrated Consensus.

Linghe Yang, Tonghong Chong, Jian Liu, Jingyi Cui, Guangquan Xu, Yude Bai, Lei Zhang, Tao Luo

IEEE Trans. Dependable Secur. Comput., 2026

DualDis: A Dual Disentanglement Network for Vehicle Re-identification.

Wenying He, Feiyu Wang, Guangquan Xu, Yude Bai, Fei Guo

Proceedings of the ACM Web Conference 2026, 2026

BioLemons: Latent Conditional Diffusion Model with VAE Embedding for Enhancing Spatial Transcriptomics.

Haolu Zhou, Wenying He, Yude Bai, Fei Guo

Proceedings of the Database Systems for Advanced Applications, 2026

Hierarchical Attention Network with Correction for Cross-Domain User Association.

Wenlong Liu, Ze Wang, Chenlong Wu, Yude Bai, Ji Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ThreatIntel-Andro: Expert-Verified Benchmarking for Robust Android Malware Research.

Hongpeng Bai, Minhong Dong, Yao Zhang, Shunzhe Zhao, Haobo Zhang, Lingyue Li, Yude Bai, Guangquan Xu

CoRR, October, 2025

Dummy-Trajectory Synthesis: A Privacy-Preserving Approach for Semantic Trajectory Data in IoT-Based LBSN.

Minhong Dong, Ze Wang, Zhuo Han, Xiaoqi Wang, Yude Bai, Xiaohu Ye, Guangquan Xu, Neal N. Xiong

IEEE Internet Things J., September, 2025

PEFN: A Patches Enhancement and Hierarchical Fusion Network for Robust Vehicle Reidentification.

Wenying He, Feiyu Wang, Yude Bai, Neal N. Xiong, Guangquan Xu, Fei Guo

IEEE Internet Things J., July, 2025

Diff-SE: A Diffusion-Augmented Contrastive Learning Framework for Super-Enhancer Prediction.

Haolu Zhou, Yu Han, Yude Bai, Yun Zuo, Wenying He, Fei Guo

J. Chem. Inf. Model., 2025

Rubato: Provably Post-Quantum Secure and Batched Asynchronous Randomness Beacon.

Linghe Yang, Jian Liu, Jingyi Cui, Guangquan Xu, Yude Bai, Wei Wang

IACR Cryptol. ePrint Arch., 2025

LeoDroid: An LLM-Based Few-Shot Multi-Label Detection for Android Malware.

Minhong Dong, Liyuan Liu, Qi Guo, Hongpeng Bai, Ruijie Gong, Yude Bai, Wenying He, Ze Wang, Guangquan Xu, Ji Zhang

Proceedings of the 2025 IEEE Security and Privacy, 2025

Calmdroid: Core-Set Based Active Learning for Multi-Label Android Malware Detection.

Minhong Dong, Liyuan Liu, Mengting Zhang, Sen Chen, Wenying He, Ze Wang, Yude Bai

Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

Long- and Short-Term Feature Fusion Network for River Velocity Forecasting: From Past to Future.

Ruijie Gong, Jinping Xie, Kaitao Liu, Lin Guo, Minhong Dong, Yu Pan, Yude Bai

Proceedings of the International Joint Conference on Neural Networks, 2025

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion.

Wenying He, Jieling Huang, Junhua Gu, Ji Zhang, Yude Bai

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

PneumoNeXt: A Multi-Scale Attention and Contrastive Learning Approach for Pneumonia Diagnosis.

Lirong Zhang, Meng Xing, Yao Zhang, Yude Bai

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

DCFICSH: A Dual-Channel Fusion Model Combining Multi-Modal Data for Identifying Cell-Specific Silencers and Their Strength in the Human Genome.

Jingdong Yuan, Qinqin Zhu, Haolu Zhou, Yu Han, Yun Zuo, Yude Bai, Wenying He

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

EfficientNet-BSFT-S: Dynamic Multi-Scale Modules for Robust Image Classification.

Chengjie Guo, Minghong Dong, Xuewei Liu, Meng Xing, Yao Zhang, Yude Bai

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Catching mRNA's Hiddens Marks: A Dual-Path Network by Contrastive Learning for N4-acetylcytidine Prediction.

Wenying He, Yu Han, Haolu Zhou, Yun Zuo, Yude Bai, Fei Guo

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

LGATFormer: A Dual-Path Model Combining Line Graph Attention and Transformer for Gene Regulatory Network Inference.

Wenying He, Yaowei Zhu, Rentao Zhang, Haolu Zhou, Yude Bai, Fei Guo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph.

Chenlong Wu, Ze Wang, Keqing Cen, Yude Bai, Jin Hao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

NBCR-ac4C: A Deep Learning Framework Based on Multivariate BERT for Human mRNA N4-Acetylcytidine Sites Prediction.

Wenying He, Yu Han, Yun Zuo, Yude Bai, Fei Guo

J. Chem. Inf. Model., 2024

MuSE: A deep learning model based on multi-feature fusion for super-enhancer prediction.

Wenying He, Haolu Zhou, Yun Zuo, Yude Bai, Fei Guo

Comput. Biol. Chem., 2024

TGSA: Trajectory Group Semantic Anonymization.

Minhong Dong, Ze Wang, Zhuo Han, Yude Bai, Chao Yuan, Guoying Qiu

Proceedings of the Security and Privacy in Communication Networks, 2024

Emotional Polarity Attention Mechanism for Text Sentiment Analysis.

Junwei Zhang, Tianheng Wang, Chenyang Wang, Yude Bai, Yupeng Zhang, Yantao Li

Proceedings of the Database Systems for Advanced Applications, 2024

2023

ArgusDroid: detecting Android malware variants by mining permission-API knowledge graph.

Yude Bai, Sen Chen, Zhenchang Xing, Xiaohong Li

Sci. China Inf. Sci., September, 2023

2022

Detecting and Augmenting Missing Key Aspects in Vulnerability Descriptions.

Hao Guo, Sen Chen, Zhenchang Xing, Xiaohong Li, Yude Bai, Jiamou Sun

ACM Trans. Softw. Eng. Methodol., 2022

Can Deep Learning Models Learn the Vulnerable Patterns for Vulnerability Detection?

Guoqing Yan, Sen Chen, Yude Bai, Xiaohong Li

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021

Comparative analysis of feature representations and machine learning methods in Android family classification.

Yude Bai, Zhenchang Xing, Duoyuan Ma, Xiaohong Li, Zhiyong Feng

Comput. Networks, 2021

A Character-Level Convolutional Neural Network for Predicting Exploitability of Vulnerability.

Jinghui Lyu, Yude Bai, Zhenchang Xing, Xiaohong Li, Weimin Ge

Proceedings of the International Symposium on Theoretical Aspects of Software Engineering, 2021

Predicting Entity Relations across Different Security Databases by Using Graph Attention Network.

Liu Yuan, Yude Bai, Zhenchang Xing, Sen Chen, Xiaohong Li, Zhidong Deng

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Key Aspects Augmentation of Vulnerability Description based on Multiple Security Databases.

Hao Guo, Zhenchang Xing, Sen Chen, Xiaohong Li, Yude Bai, Hu Zhang

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

Unsuccessful story about few shot malware family classification and siamese network to the rescue.

Yude Bai, Zhenchang Xing, Xiaohong Li, Zhiyong Feng, Duoyuan Ma

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

A Knowledge Graph-based Sensitive Feature Selection for Android Malware Classification.

Duoyuan Ma, Yude Bai, Zhenchang Xing, Lintan Sun, Xiaohong Li

Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019

A Co-Occurrence Recommendation Model of Software Security Requirement.

Yilin Xu, Weimin Ge, Xiaohong Li, Zhiyong Feng, Xiaofei Xie, Yude Bai

Proceedings of the 2019 International Symposium on Theoretical Aspects of Software Engineering, 2019