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Fengmao Lv
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2020 – today
- 2024
- [j24]Haonan Luo, Yijie Zeng, Li Yang, Kexun Chen, Zhixuan Shen, Fengmao Lv:
VLAI: Exploration and Exploitation based on Visual-Language Aligned Information for Robotic Object Goal Navigation. Image Vis. Comput. 151: 105259 (2024) - [j23]Jiujun He
, Liang Wu, Chaofan Tao, Fengmao Lv
Source-free domain adaptation with unrestricted source hypothesis. Pattern Recognit. 149: 110246 (2024) - [j22]Peng Liu
CAFA: Cross-Modal Attentive Feature Alignment for Cross-Domain Urban Scene Segmentation. IEEE Trans. Ind. Informatics 20(10): 11666-11675 (2024) - [j21]Peng Liu
Transferring Multi-Modal Domain Knowledge to Uni-Modal Domain for Urban Scene Segmentation. IEEE Trans. Intell. Transp. Syst. 25(9): 11576-11589 (2024) - [j20]Fengmao Lv
Progressive Multigranularity Information Propagation for Coupled Aspect-Opinion Extraction. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7577-7586 (2024) - [c21]Junlin Fang, Wenya Wang, Tianze Luo, Yanyong Huang, Fengmao Lv:
Progressive Multimodal Pivot Learning: Towards Semantic Discordance Understanding as Humans. CIKM 2024: 591-601 - [c20]Yanyong Huang, Zongxin Shen, Tianrui Li, Fengmao Lv:
Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data. IJCAI 2024: 4192-4200 - [c19]Junlin Fang
Sentiment-oriented Sarcasm Integration for Video Sentiment Analysis Enhancement with Sarcasm Assistance. ACM Multimedia 2024: 5810-5819 - [c18]Fengmao Lv
Rethinking the Effect of Uninformative Class Name in Prompt Learning. ACM Multimedia 2024: 8345-8354 - [i14]Yanyong Huang, Zongxin Shen, Tianrui Li, Fengmao Lv:
Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data. CoRR abs/2401.10549 (2024) - [i13]Zhenyu Wu, Fengmao Lv, Chenglizhao Chen, Aimin Hao, Shuo Li:
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey. CoRR abs/2401.11734 (2024) - [i12]Yanyong Huang, Li Yang, Dongjie Wang, Ke Li, Xiuwen Yi, Fengmao Lv, Tianrui Li:
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection. CoRR abs/2406.12193 (2024) - [i11]Heqing Zou, Tianze Luo, Guiyang Xie, Victor Zhang, Fengmao Lv, Guangcong Wang, Juanyang Chen, Zhuochen Wang, Hansheng Zhang, Huaijian Zhang:
From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding. CoRR abs/2409.18938 (2024) - 2023
- [j19]Fengmao Lv
Learning cross-domain semantic-visual relationships for transductive zero-shot learning. Pattern Recognit. 141: 109591 (2023) - [j18]Xiaofeng Yang
Self-Training Vision Language BERTs With a Unified Conditional Model. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3560-3569 (2023) - [j17]Jianyang Zhang, Guowu Yang
Semantic Consistent Embedding for Domain Adaptive Zero-Shot Learning. IEEE Trans. Image Process. 32: 4024-4035 (2023) - [j16]Yanyong Huang
C2IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 35(10): 10681-10694 (2023) - [i10]Xinyao Liu, Shengdong Du, Fengmao Lv, Hongtao Xue, Jie Hu, Tianrui Li
A Pre-trained Data Deduplication Model based on Active Learning. CoRR abs/2308.00721 (2023) - 2022
- [j15]Defu Liu, Jiayi Zhao, Jinzhao Wu, Guowu Yang, Fengmao Lv:
Multi-category classification with label noise by robust binary loss. Neurocomputing 482: 14-26 (2022) - [j14]Senlin Shu
Incorporating multiple cluster centers for multi-label learning. Inf. Sci. 590: 60-73 (2022) - [j13]Tao Liang, Wenya Wang
Weakly Supervised Domain Adaptation for Aspect Extraction via Multilevel Interaction Transfer. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5818-5829 (2022) - [c17]Tao Liang, Guosheng Lin, Mingyang Wan, Tianrui Li
Expanding Large Pre-trained Unimodal Models with Multimodal Information Injection for Image-Text Multimodal Classification. CVPR 2022: 15471-15480 - [c16]Jianyang Zhang, Tao Liang, Mingyang Wan, Guowu Yang, Fengmao Lv:
Curriculum Knowledge Distillation for Emoji-supervised Cross-lingual Sentiment Analysis. EMNLP 2022: 864-875 - [c15]Shuo He, Lei Feng
Partial Label Learning with Semantic Label Representations. KDD 2022: 545-553 - [i9]Xiaofeng Yang, Fengmao Lv, Fayao Liu, Guosheng Lin:
Self-Training Vision Language BERTs with a Unified Conditional Model. CoRR abs/2201.02010 (2022) - [i8]Yanyong Huang, Zongxin Shen, Yuxin Cai, Xiuwen Yi, Dongjie Wang, Fengmao Lv, Tianrui Li
C$^{2}$IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection. CoRR abs/2208.09736 (2022) - 2021
- [j12]Zhongliu Zhuo, T. Cai, Xiaosong Zhang, Fengmao Lv
Long short-term memory on abstract syntax tree for SQL injection detection. IET Softw. 15(2): 188-197 (2021) - [j11]Fengmao Lv, Tao Liang, Jiayi Zhao, Zhongliu Zhuo, Jinzhao Wu, Guowu Yang:
Latent Gaussian process for anomaly detection in categorical data. Knowl. Based Syst. 220: 106896 (2021) - [j10]Yanyong Huang, Zongxin Shen, Fuxu Cai, Tianrui Li
Adaptive graph-based generalized regression model for unsupervised feature selection. Knowl. Based Syst. 227: 107156 (2021) - [j9]Fengmao Lv
Weakly-Supervised Cross-Domain Road Scene Segmentation via Multi-Level Curriculum Adaptation. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3493-3503 (2021) - [c14]Fengmao Lv, Xiang Chen, Yanyong Huang, Lixin Duan, Guosheng Lin:
Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences. CVPR 2021: 2554-2562 - [c13]Defu Liu, Guowu Yang, Jinzhao Wu, Jiayi Zhao, Fengmao Lv:
Robust Binary Loss for Multi-Category Classification with Label Noise. ICASSP 2021: 1700-1704 - [c12]Tao Liang, Guosheng Lin, Lei Feng
Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion. ICCV 2021: 8128-8136 - 2020
- [j8]Defu Liu, Guowu Yang, Yuchen Li, Jinzhao Wu, Fengmao Lv:
Gradient boosting tree for 1H-MRS Alzheimer diagnosis. Int. J. Data Min. Bioinform. 23(1): 12-29 (2020) - [j7]Fengmao Lv
Learning Unbiased Zero-Shot Semantic Segmentation Networks Via Transductive Transfer. IEEE Signal Process. Lett. 27: 1640-1644 (2020) - [c11]Fengmao Lv, Tao Liang, Xiang Chen, Guosheng Lin:
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer. CVPR 2020: 4333-4342 - [c10]Xiaofeng Yang, Guosheng Lin, Fengmao Lv, Fayao Liu:
TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering. ECCV (21) 2020: 414-430 - [c9]Lei Feng, Senlin Shu
Can Cross Entropy Loss Be Robust to Label Noise? IJCAI 2020: 2206-2212 - [i7]Jianyang Zhang, Fengmao Lv, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan:
Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning. CoRR abs/2003.14105 (2020) - [i6]Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li:
Incorporating Multiple Cluster Centers for Multi-Label Learning. CoRR abs/2004.08113 (2020) - [i5]Tao Liang, Wenya Wang, Fengmao Lv:
Weakly-supervised Domain Adaption for Aspect Extraction via Multi-level Interaction Transfer. CoRR abs/2006.09235 (2020) - [i4]Haiyang Liu, Yichen Wang, Jiayi Zhao, Guowu Yang, Fengmao Lv:
Learning unbiased zero-shot semantic segmentation networks via transductive transfer. CoRR abs/2007.00515 (2020) - [i3]Yanyong Huang, Zongxin Shen, Fuxu Cai, Tianrui Li, Fengmao Lv:
Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection. CoRR abs/2012.13892 (2020)
2010 – 2019
- 2019
- [j6]Fengmao Lv
TarGAN: Generating target data with class labels for unsupervised domain adaptation. Knowl. Based Syst. 172: 123-129 (2019) - [j5]Jiazhong Lu
Integrating Traffics with Network Device Logs for Anomaly Detection. Secur. Commun. Networks 2019: 5695021:1-5695021:10 (2019) - [c8]Qing Lian, Lixin Duan, Fengmao Lv, Boqing Gong:
Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. ICCV 2019: 6757-6766 - [i2]Chaofan Tao, Fengmao Lv, Lixin Duan, Min Wu:
MiniMax Entropy Network: Learning Category-Invariant Features for Domain Adaptation. CoRR abs/1904.09601 (2019) - [i1]Qing Lian, Fengmao Lv, Lixin Duan, Boqing Gong:
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach. CoRR abs/1908.09547 (2019) - 2018
- [c7]Fengmao Lv
Boosting 1H-MRS Alzheimer Diagnosis with Boosted Trees. BIBM 2018: 913-918 - [c6]Tao Liang, Guowu Yang, Fengmao Lv
Convolutional Neural Networks for Text Classification with Multi-size Convolution and Multi-type Pooling. DASFAA Workshops 2018: 3-12 - [c5]Fengmao Lv
Domain Adaptive Semantic Segmentation Through Structure Enhancement. ECCV Workshops (2) 2018: 172-179 - [c4]Fengmao Lv
Improving Target Discriminability for Unsupervised Domain Adaptation. ICONIP (5) 2018: 287-298 - [c3]Jiazhong Lu, Fengmao Lv
Botnet Detection based on Fuzzy Association Rules. ICPR 2018: 578-584 - 2017
- [j4]Fengmao Lv
The convergence and termination criterion of quantum-inspired evolutionary neural networks. Neurocomputing 238: 157-167 (2017) - [j3]Chuan Liu
An efficient instance selection algorithm to reconstruct training set for support vector machine. Knowl. Based Syst. 116: 58-73 (2017) - [j2]Chuan Liu
A new Centroid-Based Classification model for text categorization. Knowl. Based Syst. 136: 15-26 (2017) - [j1]Fengmao Lv
Generative classification model for categorical data based on latent Gaussian process. Pattern Recognit. Lett. 92: 56-61 (2017) - [c2]Fengmao Lv
Anomaly Detection for Categorical Observations Using Latent Gaussian Process. ICONIP (5) 2017: 285-296 - 2014
- [c1]Fengmao Lv
The Research on Controlling the Iteration of Quantum-Inspired Evolutionary Algorithms for Artificial Neural Networks. AAIM 2014: 253-262
Coauthor Index
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