近期发表的主要论文
[1].Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net, IEEE Transactions on Circuits and Systems for Video Technology,2023
[2].Transformer Fusion and Pixel-level Contrastive Learning for RGB-D Salient Object Detection,IEEE Transactions on MultiMedia, 2023
[3].MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023
[4].A2SPPNet: Attentive Atrous Spatial Pyramid Pooling Network for Salient Object Detection. IEEE Transactions on Multimedia , IEEE Transaction on Multimedia, 2022
[5].Mask-and-Edge Co-Guided Separable Network for Camouflaged Object Detection,IEEE Signal Processing Letters 2023
[6].A Fused Speech Enhancement Framework for Robust Speaker Verification,IEEE Signal Processing Letters 2023
[7].Cross-Stage Multi-Scale Interaction Network for RGB-D Salient Object Detection[J]. IEEE Signal Processing Letters, 2022
[8].MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation. The 35th AAAI Conference on Artificial Intelligence, AAAI 2021
[9].Improving Deep CNN Architectures with Variable-Length Training Samples for Text-Independent Speaker Verification, INTERSPEECH2021
[10].Sharing runtime permission issues for developers based on similar-app review mining[J]. Journal of Systems and Software, 2021.12
[11].Visual Sentiment Classification via Low-rank Regularization and Label Relaxation,IEEE Transactions on Cognitive and Developmental Systems,2021
[12].Vector-based attentive pooling for text-independent speaker verification,INTERSPEECH2020
[13].Dilated residual networks with multi-level attention for speaker verification, Neurocomputing,2020
[14].Callback2Vec: Callback-aware Hierarchical Embedding for Mobile Application[J]. Information Sciences, 2020.7
[15].Early Prediction for Mode Anomaly in Generative Adversarial Network Training: An Empirical Study,Information Science, 534(2020) 117-138
出版教材:《软件测试技术》,人民邮电出版社,2011
翻译教材:《深度强化学习:基于Python的理论及实践》,机械工业出版社,2021