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Journal Articles
- 2025
[j9]Dazhao Du
, Enhan Li, Lingyu Si, Wenlong Zhai, Fanjiang Xu, Jianwei Niu, Fuchun Sun:
UIEDP: Boosting underwater image enhancement with diffusion prior. Expert Syst. Appl. 259: 125271 (2025)- 2024
- [j8]Lingyu Si, Hongwei Dong, Wenwen Qiang, Changwen Zheng, Junzhi Yu, Fuchun Sun:
Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation. Knowl. Based Syst. 283: 111162 (2024) - [j7]Hongwei Dong, Fangzhou Han, Lingyu Si, Wenwen Qiang, Ruiheng Zhang, Lamei Zhang:
Background Debiased SAR Automatic Target Recognition via a Novel Causal Interventional Regularizer. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 16993-17006 (2024) - [j6]Hongwei Dong, Lingyu Si, Wenwen Qiang, Lamei Zhang, Junzhi Yu, Yuquan Wu, Changwen Zheng, Fuchun Sun:
A Novel Causal Inference-Guided Feature Enhancement Framework for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j5]Fangzhou Han, Hongwei Dong, Lingyu Si, Lamei Zhang:
Improving SAR Automatic Target Recognition via Trusted Knowledge Distillation From Simulated Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j4]Lingyu Si, Hongwei Dong, Wenwen Qiang, Zeen Song, Bo Du, Junzhi Yu, Fuchun Sun:
A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j3]Ruiheng Zhang, Jinyu Tan, Zhe Cao, Lixin Xu, Yumeng Liu, Lingyu Si, Fuchun Sun:
Part-Aware Correlation Networks for Few-Shot Learning. IEEE Trans. Multim. 26: 9527-9538 (2024) - 2023
- [j2]Hongwei Dong, Lingyu Si, Wenwen Qiang, Wuxia Miao, Changwen Zheng, Yuquan Wu, Lamei Zhang:
A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification. Remote. Sens. 15(7): 1782 (2023) - 2022
- [j1]Lingyu Si, Wenwen Qiang, Jiangmeng Li, Fanjiang Xu, Funchun Sun:
Multi-view representation learning from local consistency and global alignment. Neurocomputing 501: 727-740 (2022)
Conference and Workshop Papers
- 2024
- [c16]Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi:
Self-Supervised Representation Learning with Meta Comprehensive Regularization. AAAI 2024: 1959-1967 - [c15]Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu:
Rethinking Causal Relationships Learning in Graph Neural Networks. AAAI 2024: 12145-12154 - [c14]Shimeng Hou, Yiqi Zhang, Wenlong Zhai, Shouyou Huang, Lingyu Si, Linjuan Cheng:
TD-YOLO: Taylor-Attention based Dehazing for Enhanced YOLO Detection Performance. CNIOT 2024 - [c13]Feihong He, Gang Li, Lingyu Si, Leilei Yan, Shimeng Hou, Hongwei Dong, Fanzhang Li:
CartoonDiff: Training-free Cartoon Image Generation with Diffusion Transformer Models. ICASSP 2024: 3825-3829 - [c12]Zhaoyong Yan, Gang Li, Lingyu Si, Hongwei Dong:
FPGNet: Single Image Deraining with High-Frequency Channel and Frequency Domain Prior Guidance. ICASSP 2024: 4410-4414 - [c11]Lingyu Si, Gang Li, Hongwei Dong, Changwen Zheng, Fanjiang Xu, Fuchun Sun:
Radardiff: Improving Sea Clutter Suppression Using Diffusion Models for Radar Images. ICASSP 2024: 4420-4424 - 2023
- [c10]Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun:
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective. AAAI 2023: 1323-1333 - [c9]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun:
Robust Causal Graph Representation Learning against Confounding Effects. AAAI 2023: 7624-7632 - [c8]Dazhao Du, Bing Su, Yu Li, Zhongang Qi, Lingyu Si, Ying Shan:
Do We Really Need Temporal Convolutions in Action Segmentation? ICME 2023: 1014-1019 - [c7]Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Fuchun Sun:
Timestamp-Supervised Action Segmentation from the Perspective of Clustering. IJCAI 2023: 690-698 - 2022
- [c6]Lingyu Si, Gang Li, Changwen Zheng, Fanjiang Xu:
Self-supervised Representation Learning for the Object Detection of Marine Radar. ICCAI 2022: 751-760 - [c5]Gang Li, Di Xu, Xing Cheng, Lingyu Si, Changwen Zheng:
SimViT: Exploring a Simple Vision Transformer with Sliding Windows. ICME 2022: 1-6 - [c4]Dazhao Du, Bing Su, Yu Li, Zhongang Qi, Lingyu Si, Ying Shan:
Convolutional Transformer with Similarity-based Boundary Prediction for Action Segmentation. ICTAI 2022: 855-860 - [c3]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng:
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. IJCAI 2022: 3001-3007 - 2021
- [c2]Zhenghao Zhang, Liguo Sun, Lingyu Si, Changwen Zheng:
A New Siamese Co-attention Network for Unsupervised Video Object Segmentation. ICCCS 2021: 335-340 - [c1]Gang Li, Yuncong Lei, Lingyu Si, Changwen Zheng:
Self-supervised Visual Representation Learning for Fine-Grained Ship Detection. ICISCAE (IEEE) 2021: 67-71
Informal and Other Publications
- 2024
- [i23]Feihong He, Gang Li, Mengyuan Zhang, Leilei Yan, Lingyu Si, Fanzhang Li:
FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models. CoRR abs/2401.15636 (2024) - [i22]Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi:
Self-Supervised Representation Learning with Meta Comprehensive Regularization. CoRR abs/2403.01549 (2024) - [i21]Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Jianwei Niu:
End-To-End Underwater Video Enhancement: Dataset and Model. CoRR abs/2403.11506 (2024) - [i20]Jingyao Wang, Wenwen Qiang, Zeen Song, Lingyu Si, Jiangmeng Li, Changwen Zheng, Bing Su:
Explicitly Modeling Universality into Self-Supervised Learning. CoRR abs/2405.01053 (2024) - [i19]Fangzhou Han, Lingyu Si, Hongwei Dong, Lamei Zhang, Hao Chen, Bo Du:
Exploring Text-Guided Single Image Editing for Remote Sensing Images. CoRR abs/2405.05769 (2024) - [i18]Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Jianwei Niu, Fuchun Sun:
A Physical Model-Guided Framework for Underwater Image Enhancement and Depth Estimation. CoRR abs/2407.04230 (2024) - [i17]Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng, Bing Su:
On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning. CoRR abs/2407.14058 (2024) - [i16]Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng:
Rethinking Meta-Learning from a Learning Lens. CoRR abs/2409.08474 (2024) - [i15]Jianqi Zhang, Mengxuan Wang, Jingyao Wang, Lingyu Si, Changwen Zheng, Fanjiang Xu:
Less yet robust: crucial region selection for scene recognition. CoRR abs/2409.14741 (2024) - 2023
- [i14]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Xingzhe Su, Fengge Wu, Changwen Zheng, Fuchun Sun:
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective. CoRR abs/2301.08496 (2023) - [i13]Lingyu Si, Hongwei Dong, Wenwen Qiang, Junzhi Yu, Wenlong Zhai, Changwen Zheng, Fanjiang Xu, Fuchun Sun:
A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning. CoRR abs/2306.15977 (2023) - [i12]Jingyao Wang, Zeen Song, Xingzhe Su, Lingyu Si, Hongwei Dong, Wenwen Qiang, Changwen Zheng:
Learning to Sample Tasks for Meta Learning. CoRR abs/2307.08924 (2023) - [i11]Hongwei Dong, Fangzhou Han, Lingyu Si, Wenwen Qiang, Lamei Zhang:
Background Debiased SAR Target Recognition via Causal Interventional Regularizer. CoRR abs/2308.15724 (2023) - [i10]Feihong He, Gang Li, Lingyu Si, Leilei Yan, Shimeng Hou, Hongwei Dong, Fanzhang Li:
Cartoondiff: Training-free Cartoon Image Generation with Diffusion Transformer Models. CoRR abs/2309.08251 (2023) - [i9]Feihong He, Gang Li, Lingyu Si, Leilei Yan, Fanzhang Li, Fuchun Sun:
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification. CoRR abs/2310.03517 (2023) - [i8]Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Jianwei Niu, Fuchun Sun:
UIEDP: Underwater Image Enhancement with Diffusion Prior. CoRR abs/2312.06240 (2023) - [i7]Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu:
Rethinking Causal Relationships Learning in Graph Neural Networks. CoRR abs/2312.09613 (2023) - 2022
- [i6]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Changwen Zheng, Fuchun Sun:
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. CoRR abs/2201.03812 (2022) - [i5]Dazhao Du, Bing Su, Yu Li, Zhongang Qi, Lingyu Si, Ying Shan:
Efficient U-Transformer with Boundary-Aware Loss for Action Segmentation. CoRR abs/2205.13425 (2022) - [i4]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun:
Robust Causal Graph Representation Learning against Confounding Effects. CoRR abs/2208.08584 (2022) - [i3]Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun:
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective. CoRR abs/2208.12681 (2022) - [i2]Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Fuchun Sun:
Timestamp-Supervised Action Segmentation in the Perspective of Clustering. CoRR abs/2212.11694 (2022) - 2021
- [i1]Gang Li, Di Xu, Xing Cheng, Lingyu Si, Changwen Zheng:
SimViT: Exploring a Simple Vision Transformer with sliding windows. CoRR abs/2112.13085 (2021)
Coauthor Index
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