论文

2025

1. 

   MODfinity: Unsupervised Domain Adaptation with Multimodal Information Flow Intertwining

   Shanglin Liu, Jianming Lv, Jingdan Kang, and 3 more authors

   In Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR), Jun 2025

   Bib PDF

   @inproceedings{Liu_2025_CVPR,
     author = {Liu, Shanglin and Lv, Jianming and Kang, Jingdan and Zhang, Huaidong and Liang, Zequan and He, Shengfeng},
     title = {MODfinity: Unsupervised Domain Adaptation with Multimodal Information Flow Intertwining},
     booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)},
     month = jun,
     year = {2025},
     pages = {5092-5101},
   }

2. 

   FS-Diff: Semantic guidance and clarity-aware simultaneous multimodal image fusion and super-resolution

   Yuchan Jie, Yushen Xu, Xiaosong Li, and 3 more authors

   Information Fusion, Sep 2025

   DOI PDF

3. 

   HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting

   Boyuan Li, Yicheng Luo, Zhen Liu, and 3 more authors

   Forty-Second International Conference on Machine Learning (ICML), Jul 2025

   Bib PDF

   @article{li2025hyperimts,
     title = {HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting},
     author = {Li, Boyuan and Luo, Yicheng and Liu, Zhen and Zheng, Junhao and Lv, Jianming and Ma, Qianli},
     journal = {Forty-Second International Conference on Machine Learning (ICML)},
     month = jul,
     year = {2025},
   }

4. 

   A multi-modal multi-expert framework for pain assessment in postoperative children

   Zequan Liang, Hao Luo, Xi Chen, and 5 more authors

   IEEE Transactions on Affective Computing, Jul 2025

   Bib PDF

   @article{liang2025multi,
     title = {A multi-modal multi-expert framework for pain assessment in postoperative children},
     author = {Liang, Zequan and Luo, Hao and Chen, Xi and Zhong, Zhipeng and Fan, Cheng and Song, Xingrong and Li, Bilian and Lv, Jianming},
     journal = {IEEE Transactions on Affective Computing},
     year = {2025},
     publisher = {IEEE},
   }

5. 

   EdgeNeRF: Edge-Guided Regularization for Neural Radiance Fields from Sparse Views

   Weiqi Yu, Yiyang Yao, Lin He, and 1 more author

   The Eighth Chinese Conference on Pattern Recognition and Computer Vision, Oct 2025

   Bib PDF

   @article{yu2026edgenerf,
     title = {EdgeNeRF: Edge-Guided Regularization for Neural Radiance Fields from Sparse Views},
     author = {Yu, Weiqi and Yao, Yiyang and He, Lin and Lv, Jianming},
     journal = {The Eighth Chinese Conference on Pattern Recognition and Computer Vision},
     year = {2025},
     month = oct,
   }

2024

1. 

   EMN: Brain-inspired Elastic Memory Network for Quick Domain Adaptive Feature Mapping

   Jianming Lv, Chengjun Wang, Depin Liang, and 3 more authors

   arXiv preprint arXiv:2402.14598, Oct 2024

   Bib PDF

   @article{lv2024emn,
     title = {EMN: Brain-inspired Elastic Memory Network for Quick Domain Adaptive Feature Mapping},
     author = {Lv, Jianming and Wang, Chengjun and Liang, Depin and Ma, Qianli and Chen, Wei and Cheng, Xueqi},
     journal = {arXiv preprint arXiv:2402.14598},
     year = {2024},
   }

2. 

   EasyFS: an Efficient Model-free Feature Selection Framework via Elastic Transformation of Features

   Jianming Lv, Sijun Xia, Depin Liang, and 1 more author

   arXiv preprint arXiv:2402.05954, Oct 2024

   Bib PDF

   @article{lv2024easyfs,
     title = {EasyFS: an Efficient Model-free Feature Selection Framework via Elastic Transformation of Features},
     author = {Lv, Jianming and Xia, Sijun and Liang, Depin and Chen, Wei},
     journal = {arXiv preprint arXiv:2402.05954},
     year = {2024},
   }

2023

1. 

   Graph based Spatial-temporal Fusion for Multi-modal Person Re-identification

   Yaobin Zhang, Jianming Lv, Chen Liu, and 1 more author

   In Proceedings of the 31st ACM International Conference on Multimedia, Oct 2023

   Bib PDF

   @inproceedings{zhang2023graph,
     title = {Graph based Spatial-temporal Fusion for Multi-modal Person Re-identification},
     author = {Zhang, Yaobin and Lv, Jianming and Liu, Chen and Cai, Hongmin},
     booktitle = {Proceedings of the 31st ACM International Conference on Multimedia},
     pages = {3736--3744},
     year = {2023},
     month = oct,
   }

2. 

   Automated Scoring of Asynchronous Interview Videos Based on Multi-Modal Window-Consistency Fusion

   Jianming Lv, Chujie Chen, and Zequan Liang

   IEEE Transactions on Affective Computing, Oct 2023

   Bib PDF

   @article{lv2023automated,
     title = {Automated Scoring of Asynchronous Interview Videos Based on Multi-Modal Window-Consistency Fusion},
     author = {Lv, Jianming and Chen, Chujie and Liang, Zequan},
     journal = {IEEE Transactions on Affective Computing},
     volume = {15},
     number = {3},
     pages = {799--814},
     year = {2023},
     publisher = {IEEE},
   }

3. 

   Adaptive multivariate time-series anomaly detection

   Jianming Lv, Yaquan Wang, and Shengjing Chen

   Information Processing & Management, Oct 2023

   Bib PDF

   @article{lv2023adaptive,
     title = {Adaptive multivariate time-series anomaly detection},
     author = {Lv, Jianming and Wang, Yaquan and Chen, Shengjing},
     journal = {Information Processing \& Management},
     volume = {60},
     number = {4},
     pages = {103383},
     year = {2023},
     publisher = {Elsevier},
   }

2021

1. 

   Differentiated Learning for Multi-Modal Domain Adaptation

   Jianming Lv, Kaijie Liu, and Shengfeng He

   In Proceedings of the 29th ACM International Conference on Multimedia, Oct 2021

   DOI Bib

   @inproceedings{Differentiated2021,
     author = {Lv, Jianming and Liu, Kaijie and He, Shengfeng},
     title = {Differentiated Learning for Multi-Modal Domain Adaptation},
     year = {2021},
     isbn = {9781450386517},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3474085.3475660},
     doi = {10.1145/3474085.3475660},
     booktitle = {Proceedings of the 29th ACM International Conference on Multimedia},
     pages = {1322–1330},
     numpages = {9},
     keywords = {multi-modal analysis, domain adaptation, differentiated learning},
     series = {MM '21},
   }

2. 

   Adversarial caching training: Unsupervised inductive network representation learning on large-scale graphs

   Junyang Chen, Zhiguo Gong, Wei Wang, and 6 more authors

   IEEE Transactions on Neural Networks and Learning Systems, Oct 2021

   Bib PDF

   @article{chen2021adversarial,
     title = {Adversarial caching training: Unsupervised inductive network representation learning on large-scale graphs},
     author = {Chen, Junyang and Gong, Zhiguo and Wang, Wei and Wang, Cong and Xu, Zhenghua and Lv, Jianming and Li, Xueliang and Wu, Kaishun and Liu, Weiwen},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     volume = {33},
     number = {12},
     pages = {7079--7090},
     year = {2021},
     publisher = {IEEE},
   }