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2020 – today
- 2025
[j8]Wenying He
, Feiyu Wang, Yude Bai, Neal N. Xiong, Guangquan Xu, Fei Guo:
PEFN: A Patches Enhancement and Hierarchical Fusion Network for Robust Vehicle Reidentification. IEEE Internet Things J. 12(14): 26898-26910 (2025)- [j7]Minhong Dong, Ze Wang, Zhuo Han, Xiaoqi Wang, Yude Bai, Xiaohu Ye, Guangquan Xu, Neal N. Xiong:
Dummy-Trajectory Synthesis: A Privacy-Preserving Approach for Semantic Trajectory Data in IoT-Based LBSN. IEEE Internet Things J. 12(18): 38031-38042 (2025) - [j6]Haolu Zhou, Yu Han, Yude Bai, Yun Zuo, Wenying He, Fei Guo:
Diff-SE: A Diffusion-Augmented Contrastive Learning Framework for Super-Enhancer Prediction. J. Chem. Inf. Model. 65(14): 7789-7799 (2025) - [c18]Chenlong Wu, Ze Wang, Keqing Cen, Yude Bai, Jin Hao:
Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph. AAAI 2025: 12854-12862 - [c17]Wenying He, Yu Han, Haolu Zhou, Yun Zuo, Yude Bai, Fei Guo:
Catching mRNA's Hiddens Marks: A Dual-Path Network by Contrastive Learning for N4-acetylcytidine Prediction. ECAI 2025: 2203-2210 - [c16]Jingdong Yuan, Qinqin Zhu, Haolu Zhou, Yu Han, Yun Zuo, Yude Bai, Wenying He:
DCFICSH: A Dual-Channel Fusion Model Combining Multi-Modal Data for Identifying Cell-Specific Silencers and Their Strength in the Human Genome. ICIC (19) 2025: 40-51 - [c15]Lirong Zhang, Meng Xing, Yao Zhang, Yude Bai:
PneumoNeXt: A Multi-Scale Attention and Contrastive Learning Approach for Pneumonia Diagnosis. ICIC (19) 2025: 52-63 - [c14]Chengjie Guo, Minghong Dong, Xuewei Liu, Meng Xing, Yao Zhang, Yude Bai:
EfficientNet-BSFT-S: Dynamic Multi-Scale Modules for Robust Image Classification. ICIC (19) 2025: 88-100 - [c13]Wenying He, Jieling Huang, Junhua Gu, Ji Zhang, Yude Bai:
Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion. IJCAI 2025: 2874-2882 - [c12]Ruijie Gong, Jinping Xie, Kaitao Liu, Lin Guo, Minhong Dong, Yu Pan, Yude Bai:
Long- and Short-Term Feature Fusion Network for River Velocity Forecasting: From Past to Future. IJCNN 2025: 1-8 - [c11]Minhong Dong, Liyuan Liu, Mengting Zhang, Sen Chen, Wenying He, Ze Wang, Yude Bai:
Calmdroid: Core-Set Based Active Learning for Multi-Label Android Malware Detection. ICPC 2025: 37-48 - [c10]Minhong Dong, Liyuan Liu, Qi Guo, Hongpeng Bai, Ruijie Gong, Yude Bai, Wenying He, Ze Wang, Guangquan Xu, Ji Zhang:
LeoDroid: An LLM-Based Few-Shot Multi-Label Detection for Android Malware. SP (Workshops) 2025: 294-306 - [i3]Wenying He, Jieling Huang, Junhua Gu, Ji Zhang, Yude Bai:
Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion. CoRR abs/2506.07099 (2025) - [i2]Hongpeng Bai, Minhong Dong, Yao Zhang, Shunzhe Zhao, Haobo Zhang, Lingyue Li, Yude Bai, Guangquan Xu:
ThreatIntel-Andro: Expert-Verified Benchmarking for Robust Android Malware Research. CoRR abs/2510.16835 (2025) - [i1]Linghe Yang, Jian Liu, Jingyi Cui, Guangquan Xu, Yude Bai, Wei Wang:
Rubato: Provably Post-Quantum Secure and Batched Asynchronous Randomness Beacon. IACR Cryptol. ePrint Arch. 2025: 1041 (2025) - 2024
- [j5]Wenying He, Haolu Zhou, Yun Zuo, Yude Bai, Fei Guo:
MuSE: A deep learning model based on multi-feature fusion for super-enhancer prediction. Comput. Biol. Chem. 113: 108282 (2024) - [j4]Wenying He, Yu Han, Yun Zuo, Yude Bai, Fei Guo:
NBCR-ac4C: A Deep Learning Framework Based on Multivariate BERT for Human mRNA N4-Acetylcytidine Sites Prediction. J. Chem. Inf. Model. 64(20): 8074-8081 (2024) - [c9]Junwei Zhang, Tianheng Wang, Chenyang Wang, Yude Bai, Yupeng Zhang, Yantao Li:
Emotional Polarity Attention Mechanism for Text Sentiment Analysis. DASFAA (5) 2024: 3-18 - [c8]Minhong Dong, Ze Wang, Zhuo Han, Yude Bai, Chao Yuan, Guoying Qiu:
TGSA: Trajectory Group Semantic Anonymization. SecureComm (4) 2024: 115-136 - 2023
- [j3]Yude Bai, Sen Chen, Zhenchang Xing, Xiaohong Li:
ArgusDroid: detecting Android malware variants by mining permission-API knowledge graph. Sci. China Inf. Sci. 66(9) (2023) - 2022
- [j2]Hao Guo, Sen Chen, Zhenchang Xing, Xiaohong Li, Yude Bai, Jiamou Sun:
Detecting and Augmenting Missing Key Aspects in Vulnerability Descriptions. ACM Trans. Softw. Eng. Methodol. 31(3): 49:1-49:27 (2022) - [c7]Guoqing Yan, Sen Chen, Yude Bai, Xiaohong Li:
Can Deep Learning Models Learn the Vulnerable Patterns for Vulnerability Detection? COMPSAC 2022: 904-913 - 2021
- [j1]Yude Bai, Zhenchang Xing, Duoyuan Ma, Xiaohong Li, Zhiyong Feng:
Comparative analysis of feature representations and machine learning methods in Android family classification. Comput. Networks 184: 107639 (2021) - [c6]Liu Yuan, Yude Bai, Zhenchang Xing, Sen Chen, Xiaohong Li, Zhidong Deng:
Predicting Entity Relations across Different Security Databases by Using Graph Attention Network. COMPSAC 2021: 834-843 - [c5]Hao Guo, Zhenchang Xing, Sen Chen, Xiaohong Li, Yude Bai, Hu Zhang:
Key Aspects Augmentation of Vulnerability Description based on Multiple Security Databases. COMPSAC 2021: 1020-1025 - [c4]Jinghui Lyu, Yude Bai, Zhenchang Xing, Xiaohong Li, Weimin Ge:
A Character-Level Convolutional Neural Network for Predicting Exploitability of Vulnerability. TASE 2021: 119-126 - 2020
- [c3]Duoyuan Ma, Yude Bai, Zhenchang Xing, Lintan Sun, Xiaohong Li:
A Knowledge Graph-based Sensitive Feature Selection for Android Malware Classification. APSEC 2020: 188-197 - [c2]Yude Bai, Zhenchang Xing, Xiaohong Li, Zhiyong Feng, Duoyuan Ma:
Unsuccessful story about few shot malware family classification and siamese network to the rescue. ICSE 2020: 1560-1571
2010 – 2019
- 2019
- [c1]Yilin Xu, Weimin Ge, Xiaohong Li, Zhiyong Feng, Xiaofei Xie, Yude Bai:
A Co-Occurrence Recommendation Model of Software Security Requirement. TASE 2019: 41-48
Coauthor Index
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