Fengmao Lv

Orcid: 0000-0003-1640-0992

According to our database1, Fengmao Lv authored at least 55 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CAFA: Cross-Modal Attentive Feature Alignment for Cross-Domain Urban Scene Segmentation.
IEEE Trans. Ind. Informatics, October, 2024

Transferring Multi-Modal Domain Knowledge to Uni-Modal Domain for Urban Scene Segmentation.
IEEE Trans. Intell. Transp. Syst., September, 2024

Progressive Multigranularity Information Propagation for Coupled Aspect-Opinion Extraction.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Source-free domain adaptation with unrestricted source hypothesis.
Pattern Recognit., 2024

VLAI: Exploration and Exploitation based on Visual-Language Aligned Information for Robotic Object Goal Navigation.
Image Vis. Comput., 2024

Adaptive Paradigm Synergy: Can a Cross-Paradigm Objective Enhance Long-Tailed Learning?
CoRR, 2024

From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding.
CoRR, 2024

Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection.
CoRR, 2024

Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey.
CoRR, 2024

Rethinking the Effect of Uninformative Class Name in Prompt Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Sentiment-oriented Sarcasm Integration for Video Sentiment Analysis Enhancement with Sarcasm Assistance.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Progressive Multimodal Pivot Learning: Towards Semantic Discordance Understanding as Humans.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
C<sup>2</sup>IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng., October, 2023

Learning cross-domain semantic-visual relationships for transductive zero-shot learning.
Pattern Recognit., September, 2023

Self-Training Vision Language BERTs With a Unified Conditional Model.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

Semantic Consistent Embedding for Domain Adaptive Zero-Shot Learning.
IEEE Trans. Image Process., 2023

A Pre-trained Data Deduplication Model based on Active Learning.
CoRR, 2023

2022
Weakly Supervised Domain Adaptation for Aspect Extraction via Multilevel Interaction Transfer.
IEEE Trans. Neural Networks Learn. Syst., 2022

Incorporating multiple cluster centers for multi-label learning.
Inf. Sci., 2022

Multi-category classification with label noise by robust binary loss.
Neurocomputing, 2022

C$^{2}$IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection.
CoRR, 2022

Partial Label Learning with Semantic Label Representations.
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.
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.
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.
IEEE Trans. Circuits Syst. Video Technol., 2021

Latent Gaussian process for anomaly detection in categorical data.
Knowl. Based Syst., 2021

Adaptive graph-based generalized regression model for unsupervised feature selection.
Knowl. Based Syst., 2021

Long short-term memory on abstract syntax tree for SQL injection detection.
IET Softw., 2021

Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Robust Binary Loss for Multi-Category Classification with Label Noise.
Proceedings of the IEEE International Conference on Acoustics, 2021

Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning Unbiased Zero-Shot Semantic Segmentation Networks Via Transductive Transfer.
IEEE Signal Process. Lett., 2020

Gradient boosting tree for <sup>1</sup>H-MRS Alzheimer diagnosis.
Int. J. Data Min. Bioinform., 2020

Weakly-supervised Domain Adaption for Aspect Extraction via Multi-level Interaction Transfer.
CoRR, 2020

Incorporating Multiple Cluster Centers for Multi-Label Learning.
CoRR, 2020

Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning.
CoRR, 2020

Can Cross Entropy Loss Be Robust to Label Noise?
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering.
Proceedings of the Computer Vision - ECCV 2020, 2020

Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Integrating Traffics with Network Device Logs for Anomaly Detection.
Secur. Commun. Networks, 2019

TarGAN: Generating target data with class labels for unsupervised domain adaptation.
Knowl. Based Syst., 2019

MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation.
CoRR, 2019

Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Botnet Detection based on Fuzzy Association Rules.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Improving Target Discriminability for Unsupervised Domain Adaptation.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Domain Adaptive Semantic Segmentation Through Structure Enhancement.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Convolutional Neural Networks for Text Classification with Multi-size Convolution and Multi-type Pooling.
Proceedings of the Database Systems for Advanced Applications, 2018

Boosting <sup>1</sup>H-MRS Alzheimer Diagnosis with Boosted Trees.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Generative classification model for categorical data based on latent Gaussian process.
Pattern Recognit. Lett., 2017

An efficient instance selection algorithm to reconstruct training set for support vector machine.
Knowl. Based Syst., 2017

A new Centroid-Based Classification model for text categorization.
Knowl. Based Syst., 2017

The convergence and termination criterion of quantum-inspired evolutionary neural networks.
Neurocomputing, 2017

Anomaly Detection for Categorical Observations Using Latent Gaussian Process.
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.
Proceedings of the Algorithmic Aspects in Information and Management, 2014


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