Jianping Fan

Orcid: 0000-0003-2290-1785

Affiliations:
  • Lenovo Research, AI Lab, Beijing, China


According to our database1, Jianping Fan authored at least 35 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Multi-Task Paired Masking With Alignment Modeling for Medical Vision-Language Pre-Training.
IEEE Trans. Multim., 2024

Semi-Supervised Medical Report Generation via Graph-Guided Hybrid Feature Consistency.
IEEE Trans. Multim., 2024

DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization.
CoRR, 2024

2023
Interactive Two-Stream Network Across Modalities for Deepfake Detection.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Graph Attention Transformer Network for Multi-label Image Classification.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Bilaterally Slimmable Transformer for Elastic and Efficient Visual Question Answering.
IEEE Trans. Multim., 2023

Deep Robust Low Rank Correlation With Unifying Clustering Structure for Cross Domain Adaptation.
IEEE Trans. Multim., 2023

Social Image-Text Sentiment Classification With Cross-Modal Consistency and Knowledge Distillation.
IEEE Trans. Affect. Comput., 2023

Balanced masking strategy for multi-label image classification.
Neurocomputing, 2023

Image Clustering with External Guidance.
CoRR, 2023

Hybrid Representation Learning via Epistemic Graph.
CoRR, 2023

Cross-domain recommendation via user interest alignment.
Proceedings of the ACM Web Conference 2023, 2023

Hardware-friendly Scalable Image Super Resolution with Progressive Structured Sparsity.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cross-modal Unsupervised Domain Adaptation for 3D Semantic Segmentation via Bidirectional Fusion-then-Distillation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learnable Query Guided Representation Learning for Treatment Effect Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2023

VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Long-Tailed Recognition with Causal Invariant Transformation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learning How to Learn Domain-Invariant Parameters for Domain Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2023

SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning Disentangled Representations for Environment Inference in Out-of-distribution Generalization.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Lenovo Schedules Laptop Manufacturing Using Deep Reinforcement Learning.
INFORMS J. Appl. Anal., 2022

Learning to Learn Domain-invariant Parameters for Domain Generalization.
CoRR, 2022

Semi-supervised Medical Image Segmentation with Semantic Distance Distribution Consistency Learning.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Disentangled Neural Architecture Search.
Proceedings of the International Joint Conference on Neural Networks, 2022

Semi-Supervised 3D Medical Image Segmentation Via Boundary-Aware Consistent Hidden Representation Learning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

U-GAT-VC: Unsupervised Generative Attentional Networks for Non-Parallel Voice Conversion.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A Survey of Visual Transformers.
CoRR, 2021

Confidence-Guided Radiology Report Generation.
CoRR, 2021

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Algorithm Bias Detection and Mitigation in Lenovo Face Recognition Engine.
Proceedings of the Natural Language Processing and Chinese Computing, 2020


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