Fengmao Lv

According to our database, Fengmao Lv authored at least 70 papers between 2014 and 2025.

Collaborative distances:

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

2025

Cross-modal Causal Intervention for Alzheimer's Disease Prediction.

Yutao Jin, Haowen Xiao, Jielei Chu, Fengmao Lv, Yuxiao Li, Tianrui Li

CoRR, July, 2025

Multi-Scale CNN-Transformer Hybrid Network for Rail Fastener Defect Detection.

Jin He, Wei Wang, Fengmao Lv, Haonan Luo, Gexiang Zhang, Zhenghua Chen

IEEE Trans. Intell. Transp. Syst., June, 2025

CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values.

Kai Tang, Ji Zhang, Hua Meng, Minbo Ma, Qi Xiong, Fengmao Lv, Jie Xu, Tianrui Li

CoRR, June, 2025

Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across Languages.

Heqing Zou, Fengmao Lv, Desheng Zheng, Eng Siong Chng, Deepu Rajan

CoRR, March, 2025

Pixel is All You Need: Adversarial Spatio-Temporal Ensemble Active Learning for Salient Object Detection.

Zhenyu Wu, Wei Wang, Lin Wang, Yacong Li, Fengmao Lv, Qing Xia, Chenglizhao Chen, Aimin Hao, Shuo Li

IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

HLV-1K: A Large-scale Hour-Long Video Benchmark for Time-Specific Long Video Understanding.

Heqing Zou, Tianze Luo, Guiyang Xie, Victor Zhang, Fengmao Lv, Guangcong Wang, Junyang Chen, Zhuochen Wang, Hansheng Zhang, Huaijian Zhang

CoRR, January, 2025

Segmenting Anything in the Dark via Depth Perception.

Peng Liu, Jinhong Deng, Lixin Duan, Wen Li, Fengmao Lv

IEEE Trans. Multim., 2025

C2T-HR3D: Cross-Fusion of CNN and Transformer for High-Speed Railway Dropper Defect Detection.

Jin He, Fengmao Lv, Jun Liu, Min Wu, Badong Chen, Shiping Wang

IEEE Trans. Instrum. Meas., 2025

Citywide Multi-Step Crime Prediction via Context-Aware Bayesian Tensor Decomposition.

Weichao Liang, Fengmao Lv, Lei Chen, Haicheng Tao, Min Shi, Xingquan Zhu, Jie Cao

IEEE Trans. Inf. Forensics Secur., 2025

A pre-trained data deduplication model based on active learning.

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

Expert Syst. Appl., 2025

MSTI-Plus: Introducing Non-Sarcasm Reference Materials to Enhance Multimodal Sarcasm Target Identification.

Fengmao Lv, Mengting Xiong, Junlin Fang, Lingli Zhang, Tianze Luo, Weichao Liang, Tianrui Li

Proceedings of the ACM on Web Conference 2025, 2025

Damage Analysis via Bidirectional Multi-Task Cascaded Multimodal Fusion.

Tao Liang, Siying Wu, Junfeng Fang, Guowu Yang, Wenya Wang, Fengmao Lv

Proceedings of the ACM on Web Conference 2025, 2025

Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability.

Jianyang Zhang, Qianli Luo, Guowu Yang, Wenjing Yang, Weide Liu, Guosheng Lin, Fengmao Lv

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts.

Kaiwen Wei, Jie Yao, Jiang Zhong, Yangyang Kang, Jingyuan Zhang, Changlong Sun, Xin Zhang, Fengmao Lv, Li Jin

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration.

Zhixuan Shen, Haonan Luo, Kexun Chen, Fengmao Lv, Tianrui Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

CAFA: Cross-Modal Attentive Feature Alignment for Cross-Domain Urban Scene Segmentation.

Peng Liu, Yanqi Ge, Lixin Duan, Wen Li, Fengmao Lv

IEEE Trans. Ind. Informatics, October, 2024

Transferring Multi-Modal Domain Knowledge to Uni-Modal Domain for Urban Scene Segmentation.

Peng Liu, Yanqi Ge, Lixin Duan, Wen Li, Haonan Luo, Fengmao Lv

IEEE Trans. Intell. Transp. Syst., September, 2024

Progressive Multigranularity Information Propagation for Coupled Aspect-Opinion Extraction.

Fengmao Lv, Tao Liang, Zhihui Fei, Wenya Wang

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Source-free domain adaptation with unrestricted source hypothesis.

Jiujun He, Liang Wu, Chaofan Tao, Fengmao Lv

Pattern Recognit., 2024

VLAI: Exploration and Exploitation based on Visual-Language Aligned Information for Robotic Object Goal Navigation.

Haonan Luo, Yijie Zeng, Li Yang, Kexun Chen, Zhixuan Shen, Fengmao Lv

Image Vis. Comput., 2024

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

Haowen Xiao, Guanghui Liu, Xinyi Gao, Yang Li, Fengmao Lv, Jielei Chu

CoRR, 2024

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

Heqing Zou, Tianze Luo, Guiyang Xie, Victor Zhang, Fengmao Lv, Guangcong Wang, Juanyang Chen, Zhuochen Wang, Hansheng Zhang, Huaijian Zhang

CoRR, 2024

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

Yanyong Huang, Li Yang, Dongjie Wang, Ke Li, Xiuwen Yi, Fengmao Lv, Tianrui Li

CoRR, 2024

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

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

CoRR, 2024

Rethinking the Effect of Uninformative Class Name in Prompt Learning.

Fengmao Lv, Changru Nie, Jianyang Zhang, Guowu Yang, Guosheng Lin, Xiao Wu, Tianrui Li

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.

Junlin Fang, Wenya Wang, Guosheng Lin, Fengmao Lv

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.

Yanyong Huang, Zongxin Shen, Tianrui Li, Fengmao Lv

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Progressive Multimodal Pivot Learning: Towards Semantic Discordance Understanding as Humans.

Junlin Fang, Wenya Wang, Tianze Luo, Yanyong Huang, Fengmao Lv

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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