A New Siamese Co-attention Network for Unsupervised Video Object Segmentation. - Zhenghao Zhang; Liguo Sun; Lingyu Si; Changwen Zheng (ICCCS, 2021)

Self-supervised Visual Representation Learning for Fine-Grained Ship Detection. - Gang Li; Yuncong Lei; Lingyu Si; Changwen Zheng (ICISCAE (IEEE), 2021)

Self-supervised Representation Learning for the Object Detection of Marine Radar. - Lingyu Si; Gang Li; Changwen Zheng; Fanjiang Xu (ICCAI, 2022)

SimViT: Exploring a Simple Vision Transformer with Sliding Windows. - Gang Li; Di Xu; Xing Cheng; Lingyu Si; Changwen Zheng (ICME, 2022)

Convolutional Transformer with Similarity-based Boundary Prediction for Action Segmentation. - Dazhao Du; Bing Su; Yu Li 003; Zhongang Qi; Lingyu Si; Ying Shan (ICTAI, 2022)

Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. - Hang Gao 004; Jiangmeng Li; Wenwen Qiang; Lingyu Si; Fuchun Sun 001; Changwen Zheng (IJCAI, 2022)

Efficient U-Transformer with Boundary-Aware Loss for Action Segmentation. - Dazhao Du; Bing Su; Yu Li 003; Zhongang Qi; Lingyu Si; Ying Shan (CoRR, 2022)

Timestamp-Supervised Action Segmentation in the Perspective of Clustering. - Dazhao Du; Enhan Li; Lingyu Si; Fanjiang Xu; Fuchun Sun 001 (CoRR, 2022)

Multi-view representation learning from local consistency and global alignment. - Lingyu Si; Wenwen Qiang; Jiangmeng Li; Fanjiang Xu; Funchun Sun (Neurocomputing, 2022)

Robust Causal Graph Representation Learning against Confounding Effects. - Hang Gao 004; Jiangmeng Li; Wenwen Qiang; Lingyu Si; Bing Xu; Changwen Zheng; Fuchun Sun 001 (AAAI, 2023)

Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective. - Jiangmeng Li; Yanan Zhang; Wenwen Qiang; Lingyu Si; Chengbo Jiao; Xiaohui Hu; Changwen Zheng; Fuchun Sun 001 (AAAI, 2023)

Do We Really Need Temporal Convolutions in Action Segmentation? - Dazhao Du; Bing Su; Yu Li 003; Zhongang Qi; Lingyu Si; Ying Shan (ICME, 2023)

Timestamp-Supervised Action Segmentation from the Perspective of Clustering. - Dazhao Du; Enhan Li; Lingyu Si; Fanjiang Xu; Fuchun Sun 001 (IJCAI, 2023)

Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective. - Hang Gao 004; Jiangmeng Li; Wenwen Qiang; Lingyu Si; Xingzhe Su; Fengge Wu; Changwen Zheng; Fuchun Sun 001 (CoRR, 2023)

A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning. - Lingyu Si; Hongwei Dong; Wenwen Qiang; Junzhi Yu; Wenlong Zhai; Changwen Zheng; Fanjiang Xu; Fuchun Sun 001 (CoRR, 2023)

Learning to Sample Tasks for Meta Learning. - Jingyao Wang; Zeen Song; Xingzhe Su; Lingyu Si; Hongwei Dong; Wenwen Qiang; Changwen Zheng (CoRR, 2023)

Background Debiased SAR Target Recognition via Causal Interventional Regularizer. - Hongwei Dong; Fangzhou Han; Lingyu Si; Wenwen Qiang; Lamei Zhang (CoRR, 2023)

PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification. - Feihong He; Gang Li; Lingyu Si; Leilei Yan; Fanzhang Li; Fuchun Sun 001 (CoRR, 2023)

UIEDP: Underwater Image Enhancement with Diffusion Prior. - Dazhao Du; Enhan Li; Lingyu Si; Fanjiang Xu; Jianwei Niu 002; Fuchun Sun 001 (CoRR, 2023)

A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification. - Hongwei Dong; Lingyu Si; Wenwen Qiang; Wuxia Miao; Changwen Zheng; Yuquan Wu; Lamei Zhang (Remote. Sens., 2023)

Rethinking Causal Relationships Learning in Graph Neural Networks. - Hang Gao 004; Chengyu Yao; Jiangmeng Li; Lingyu Si; Yifan Jin; Fengge Wu; Changwen Zheng; Huaping Liu 001 (AAAI, 2024)

Self-Supervised Representation Learning with Meta Comprehensive Regularization. - Huijie Guo; Ying Ba; Jie Hu 019; Lingyu Si; Wenwen Qiang; Lei Shi 002 (AAAI, 2024)

TD-YOLO: Taylor-Attention based Dehazing for Enhanced YOLO Detection Performance. - Shimeng Hou; Yiqi Zhang; Wenlong Zhai; Shouyou Huang; Lingyu Si; Linjuan Cheng (CNIOT, 2024)

CartoonDiff: Training-free Cartoon Image Generation with Diffusion Transformer Models. - Feihong He; Gang Li; Lingyu Si; Leilei Yan; Shimeng Hou; Hongwei Dong; Fanzhang Li (ICASSP, 2024)

Radardiff: Improving Sea Clutter Suppression Using Diffusion Models for Radar Images. - Lingyu Si; Gang Li; Hongwei Dong; Changwen Zheng; Fanjiang Xu; Fuchun Sun 001 (ICASSP, 2024)

FPGNet: Single Image Deraining with High-Frequency Channel and Frequency Domain Prior Guidance. - Zhaoyong Yan; Gang Li; Lingyu Si; Hongwei Dong (ICASSP, 2024)

FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models. - Feihong He; Gang Li; Mengyuan Zhang; Leilei Yan; Lingyu Si; Fanzhang Li (CoRR, 2024)

End-To-End Underwater Video Enhancement: Dataset and Model. - Dazhao Du; Enhan Li; Lingyu Si; Fanjiang Xu; Jianwei Niu 002 (CoRR, 2024)

Explicitly Modeling Universality into Self-Supervised Learning. - Jingyao Wang; Wenwen Qiang; Zeen Song; Lingyu Si; Jiangmeng Li; Changwen Zheng; Bing Su 001 (CoRR, 2024)

Exploring Text-Guided Single Image Editing for Remote Sensing Images. - Fangzhou Han; Lingyu Si; Hongwei Dong; Lamei Zhang; Hao Chen 011; Bo Du 001 (CoRR, 2024)

A Physical Model-Guided Framework for Underwater Image Enhancement and Depth Estimation. - Dazhao Du; Enhan Li; Lingyu Si; Fanjiang Xu; Jianwei Niu 002; Fuchun Sun 001 (CoRR, 2024)

On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning. - Jingyao Wang; Wenwen Qiang; Jiangmeng Li; Lingyu Si; Changwen Zheng; Bing Su 001 (CoRR, 2024)

Rethinking Meta-Learning from a Learning Lens. - Jingyao Wang; Wenwen Qiang; Jiangmeng Li; Lingyu Si; Changwen Zheng (CoRR, 2024)

Background Debiased SAR Automatic Target Recognition via a Novel Causal Interventional Regularizer. - Hongwei Dong; Fangzhou Han; Lingyu Si; Wenwen Qiang; Ruiheng Zhang 001; Lamei Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Novel Causal Inference-Guided Feature Enhancement Framework for PolSAR Image Classification. - Hongwei Dong; Lingyu Si; Wenwen Qiang; Lamei Zhang; Junzhi Yu; Yuquan Wu; Changwen Zheng; Fuchun Sun 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Improving SAR Automatic Target Recognition via Trusted Knowledge Distillation From Simulated Data. - Fangzhou Han; Hongwei Dong; Lingyu Si; Lamei Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification. - Lingyu Si; Hongwei Dong; Wenwen Qiang; Zeen Song; Bo Du 001; Junzhi Yu; Fuchun Sun 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Part-Aware Correlation Networks for Few-Shot Learning. - Ruiheng Zhang 001; Jinyu Tan; Zhe Cao 001; Lixin Xu 001; Yumeng Liu; Lingyu Si; Fuchun Sun 001 (IEEE Trans. Multim., 2024)

Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation. - Lingyu Si; Hongwei Dong; Wenwen Qiang; Changwen Zheng; Junzhi Yu; Fuchun Sun 001 (Knowl. Based Syst., 2024)

SlotFusion: Object-Centric Audiovisual Feature Fusion with Slot Attention for Remote Sensing Scene Recognition. - Fangzhou Han; Tianyi Yu; Lamei Zhang; Lingyu Si; Yiqi Zhang (ICASSP, 2025)

Less Yet Robust: Crucial Region Selection for Scene Recognition. - Jianqi Zhang; Mengxuan Wang; Jingyao Wang; Lingyu Si; Changwen Zheng; Fanjiang Xu (ICASSP, 2025)

UIEDP: Boosting underwater image enhancement with diffusion prior. - Dazhao Du; Enhan Li; Lingyu Si; Wenlong Zhai; Fanjiang Xu; Jianwei Niu 002; Fuchun Sun 001 (Expert Syst. Appl., 2025)

Exploring Text-Guided Single Image Editing for Remote Sensing Images. - Fangzhou Han; Lingyu Si; Hongwei Dong; Zhizhuo Jiang; Lamei Zhang; Hao Chen 014; Yu Liu 005; Bo Du 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation. - Ruiheng Zhang 001; Zhe Cao 001; Shuo Yang 006; Lingyu Si; Haoyang Sun; Lixin Xu 001; Fuchun Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation. - Wenwen Qiang; Ziyin Gu; Lingyu Si; Jiangmeng Li; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (CoRR, 2025)

Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection. - Jingyao Wang; Yiming Chen; Lingyu Si; Changwen Zheng (CoRR, 2025)

A Generalized Learning Framework for Self-Supervised Contrastive Learning. - Lingyu Si; Jingyao Wang; Wenwen Qiang (CoRR, 2025)

Enhancing generalization with multi-modal relations. - Mengxuan Wang; Xingchen Shen; Jingyao Wang; Lingyu Si; Hongjie Jiang (Inf. Fusion, 2026)