Fengmao Lv

According to our database, Fengmao Lv authored at least 45 papers between 2014 and 2024.

Collaborative distances:

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

2024

Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey.

Zhenyu Wu, Fengmao Lv, Chenglizhao Chen, Aimin Hao, Shuo Li

CoRR, 2024

Multimodal Sentiment Analysis with Missing Modality: A Knowledge-Transfer Approach.

Weide Liu, Huijing Zhan, Hao Chen, Fengmao Lv

CoRR, 2024

Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data.

Yanyong Huang, Zongxin Shen, Tianrui Li, Fengmao Lv

CoRR, 2024

2023

C²IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection.

Yanyong Huang, Zongxin Shen, Yuxin Cai, Xiuwen Yi, Dongjie Wang, Fengmao Lv, Tianrui Li

IEEE Trans. Knowl. Data Eng., October, 2023

Learning cross-domain semantic-visual relationships for transductive zero-shot learning.

Fengmao Lv, Jianyang Zhang, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan

Pattern Recognit., September, 2023

Self-Training Vision Language BERTs With a Unified Conditional Model.

Xiaofeng Yang, Fengmao Lv, Fayao Liu, Guosheng Lin

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Semantic Consistent Embedding for Domain Adaptive Zero-Shot Learning.

Jianyang Zhang, Guowu Yang, Ping Hu, Guosheng Lin, Fengmao Lv

IEEE Trans. Image Process., 2023

A Pre-trained Data Deduplication Model based on Active Learning.

Xinyao Liu, Shengdong Du, Fengmao Lv, Hongtao Xue, Jie Hu, Tianrui Li

CoRR, 2023

2022

Weakly Supervised Domain Adaptation for Aspect Extraction via Multilevel Interaction Transfer.

Tao Liang, Wenya Wang, Fengmao Lv

IEEE Trans. Neural Networks Learn. Syst., 2022

Incorporating multiple cluster centers for multi-label learning.

Senlin Shu, Fengmao Lv, Yan Yan, Li Li, Shuo He, Jun He

Inf. Sci., 2022

Multi-category classification with label noise by robust binary loss.

Defu Liu, Jiayi Zhao, Jinzhao Wu, Guowu Yang, Fengmao Lv

Neurocomputing, 2022

C$^{2}$IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection.

Yanyong Huang, Zongxin Shen, Yuxin Cai, Xiuwen Yi, Dongjie Wang, Fengmao Lv, Tianrui Li

CoRR, 2022

Partial Label Learning with Semantic Label Representations.

Shuo He, Lei Feng, Fengmao Lv, Wen Li, Guowu Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Curriculum Knowledge Distillation for Emoji-supervised Cross-lingual Sentiment Analysis.

Jianyang Zhang, Tao Liang, Mingyang Wan, Guowu Yang, Fengmao Lv

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Expanding Large Pre-trained Unimodal Models with Multimodal Information Injection for Image-Text Multimodal Classification.

Tao Liang, Guosheng Lin, Mingyang Wan, Tianrui Li, Guojun Ma, Fengmao Lv

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Weakly-Supervised Cross-Domain Road Scene Segmentation via Multi-Level Curriculum Adaptation.

Fengmao Lv, Guosheng Lin, Peng Liu, Guowu Yang, Sinno Jialin Pan, Lixin Duan

IEEE Trans. Circuits Syst. Video Technol., 2021

Latent Gaussian process for anomaly detection in categorical data.

Fengmao Lv, Tao Liang, Jiayi Zhao, Zhongliu Zhuo, Jinzhao Wu, Guowu Yang

Knowl. Based Syst., 2021

Adaptive graph-based generalized regression model for unsupervised feature selection.

Yanyong Huang, Zongxin Shen, Fuxu Cai, Tianrui Li, Fengmao Lv

Knowl. Based Syst., 2021

Long short-term memory on abstract syntax tree for SQL injection detection.

Zhongliu Zhuo, T. Cai, Xiaosong Zhang, Fengmao Lv

IET Softw., 2021

Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion.

Tao Liang, Guosheng Lin, Lei Feng, Yan Zhang, Fengmao Lv

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Robust Binary Loss for Multi-Category Classification with Label Noise.

Defu Liu, Guowu Yang, Jinzhao Wu, Jiayi Zhao, Fengmao Lv

Proceedings of the IEEE International Conference on Acoustics, 2021

Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences.

Fengmao Lv, Xiang Chen, Yanyong Huang, Lixin Duan, Guosheng Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning Unbiased Zero-Shot Semantic Segmentation Networks Via Transductive Transfer.

Fengmao Lv, Haiyang Liu, Yichen Wang, Jiayi Zhao, Guowu Yang

IEEE Signal Process. Lett., 2020

Gradient boosting tree for ¹H-MRS Alzheimer diagnosis.

Defu Liu, Guowu Yang, Yuchen Li, Jinzhao Wu, Fengmao Lv

Int. J. Data Min. Bioinform., 2020

Weakly-supervised Domain Adaption for Aspect Extraction via Multi-level Interaction Transfer.

Tao Liang, Wenya Wang, Fengmao Lv

CoRR, 2020

Incorporating Multiple Cluster Centers for Multi-Label Learning.

Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li

CoRR, 2020

Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning.

Jianyang Zhang, Fengmao Lv, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan

CoRR, 2020

Can Cross Entropy Loss Be Robust to Label Noise?

Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering.

Xiaofeng Yang, Guosheng Lin, Fengmao Lv, Fayao Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer.

Fengmao Lv, Tao Liang, Xiang Chen, Guosheng Lin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Integrating Traffics with Network Device Logs for Anomaly Detection.

Jiazhong Lu, Fengmao Lv, Zhongliu Zhuo, Xiaosong Zhang, Xiaolei Liu, Teng Hu, Wei Deng

Secur. Commun. Networks, 2019

TarGAN: Generating target data with class labels for unsupervised domain adaptation.

Fengmao Lv, Jun Zhu, Guowu Yang, Lixin Duan

Knowl. Based Syst., 2019

MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation.

Chaofan Tao, Fengmao Lv, Lixin Duan, Min Wu

CoRR, 2019

Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach.

Qing Lian, Lixin Duan, Fengmao Lv, Boqing Gong

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Botnet Detection based on Fuzzy Association Rules.

Jiazhong Lu, Fengmao Lv, Quan-Hui Liu, Malu Zhang, Xiaosong Zhang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Improving Target Discriminability for Unsupervised Domain Adaptation.

Fengmao Lv, Hao Chen, Jinzhao Wu, Linfeng Zhong, Xiaoyu Li, Guowu Yang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Domain Adaptive Semantic Segmentation Through Structure Enhancement.

Fengmao Lv, Qing Lian, Guowu Yang, Guosheng Lin, Sinno Jialin Pan, Lixin Duan

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Convolutional Neural Networks for Text Classification with Multi-size Convolution and Multi-type Pooling.

Tao Liang, Guowu Yang, Fengmao Lv, Juliang Zhang, Zhantao Cao, Qing Li

Proceedings of the Database Systems for Advanced Applications, 2018

Boosting ¹H-MRS Alzheimer Diagnosis with Boosted Trees.

Fengmao Lv, Yuchen Li, Guowu Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Generative classification model for categorical data based on latent Gaussian process.

Fengmao Lv, Guowu Yang, William Zhu, Chuan Liu

Pattern Recognit. Lett., 2017

An efficient instance selection algorithm to reconstruct training set for support vector machine.

Chuan Liu, Wenyong Wang, Meng Wang, Fengmao Lv, Martin Konan

Knowl. Based Syst., 2017

A new Centroid-Based Classification model for text categorization.

Chuan Liu, Wenyong Wang, Guanghui Tu, Yu Xiang, Siyang Wang, Fengmao Lv

Knowl. Based Syst., 2017

The convergence and termination criterion of quantum-inspired evolutionary neural networks.

Fengmao Lv, Guowu Yang, Wenjing Yang, Xiaosong Zhang, Kenli Li

Neurocomputing, 2017

Anomaly Detection for Categorical Observations Using Latent Gaussian Process.

Fengmao Lv, Guowu Yang, Jinzhao Wu, Chuan Liu, Yuhong Yang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2014

The Research on Controlling the Iteration of Quantum-Inspired Evolutionary Algorithms for Artificial Neural Networks.

Fengmao Lv, Guowu Yang, Shuangbao Wang, Fuyou Fan

Proceedings of the Algorithmic Aspects in Information and Management, 2014