Research of Double Circular-Arc Gear Fast Modeling Based on CATIA Secondary Development. - Kang Huang; Weidong Chen; Qi Chen; Yingming Li (ICDMA, 2012)

Study on Involute Gear Fast Modeling Method Based on VB and CATIA. - Kang Huang; Yangshou Xiong; Qi Chen; Yingming Li (ICDMA, 2012)

Coordinate Ranking Regularized Non-negative Matrix Factorization. - Yingming Li; Ming Yang 012; Zhongfei Zhang (ACPR, 2013)

Scientific articles recommendation. - Yingming Li; Ming Yang 012; Zhongfei (Mark) Zhang (CIKM, 2013)

Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model. - Ming Yang 012; Yingming Li; Zhongfei Zhang (ICML (3), 2013)

Learning with limited and noisy tagging. - Yingming Li; Zhongang Qi; Zhongfei (Mark) Zhang; Ming Yang 012 (ACM Multimedia, 2013)

Scientific articles recommendation with topic regression and relational matrix factorization. - Ming Yang 012; Yingming Li; Zhongfei (Mark) Zhang (J. Zhejiang Univ. Sci. C, 2014)

Marginal Fisher Regression Classification for Face Recognition. - Zhong Ji; Yunlong Yu; Yanwei Pang; Yingming Li; Zhongfei Zhang (PCM (1), 2015)

Multimodal Skipgram Using Convolutional Pseudowords. - Zachary Seymour; Yingming Li; Zhongfei (Mark) Zhang (CoRR, 2015)

Learning with Marginalized Corrupted Features and Labels Together. - Yingming Li; Ming Yang 012; Zenglin Xu; Zhongfei (Mark) Zhang (AAAI, 2016)

Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. - Haoli Bai; Zenglin Xu; Bin Liu 022; Yingming Li (ACML, 2016)

Multi-View Learning with Limited and Noisy Tagging. - Yingming Li; Ming Yang 012; Zenglin Xu; Zhongfei (Mark) Zhang (IJCAI, 2016)

Multi-View Representation Learning: A Survey from Shallow Methods to Deep Methods. - Yingming Li; Ming Yang 012; Zhongfei Zhang (CoRR, 2016)

Bayesian Multi-Task Relationship Learning with Link Structure. - Yingming Li; Ming Yang 012; Zhongang Qi; Zhongfei (Mark) Zhang (IEEE Trans. Knowl. Data Eng., 2016)

Learning with Feature Network and Label Network Simultaneously. - Yingming Li; Ming Yang 012; Zenglin Xu; Zhongfei (Mark) Zhang (AAAI, 2017)

Pyramid Person Matching Network for Person Re-identification. - Chaojie Mao; Yingming Li; Zhongfei Zhang; Yaqing Zhang; Xi Li 001 (ACML, 2017)

Text Coherence Analysis Based on Deep Neural Network. - Baiyun Cui; Yingming Li; Yaqing Zhang; Zhongfei Zhang (CIKM, 2017)

FR-ANet: A Face Recognition Guided Facial Attribute Classification Network. - Jiajiong Cao; Yingming Li; Xi Li 001; Zhongfei Zhang (AAAI, 2018)

Learning With Incomplete Labels. - Yingming Li; Zenglin Xu; Zhongfei Zhang (AAAI, 2018)

Multi-Channel Pyramid Person Matching Network for Person Re-Identification. - Chaojie Mao; Yingming Li; Yaqing Zhang; Zhongfei Zhang; Xi Li 001 (AAAI, 2018)

TVT: Two-View Transformer Network for Video Captioning. - Ming Chen; Yingming Li; Zhongfei Zhang; Siyu Huang (ACML, 2018)

Relative Attribute Learning with Deep Attentive Cross-image Representation. - Zeshang Zhang; Yingming Li; Zhongfei Zhang (ACML, 2018)

Partially Shared Multi-Task Convolutional Neural Network With Local Constraint for Face Attribute Learning. - Jiajiong Cao; Yingming Li; Zhongfei Zhang (CVPR, 2018)

Deep Attentive Sentence Ordering Network. - Baiyun Cui; Yingming Li; Ming Chen; Zhongfei Zhang (EMNLP, 2018)

Celeb-500K: A Large Training Dataset for Face Recognition. - Jiajiong Cao; Yingming Li; Zhongfei Zhang (ICIP, 2018)

NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition. - Bin Liu 022; Lirong He; Yingming Li; Shandian Zhe; Zenglin Xu (Cogn. Comput., 2018)

Manifold regularized matrix completion for multi-label learning with ADMM. - Bin Liu 022; Yingming Li; Zenglin Xu (Neural Networks, 2018)

Text Guided Person Image Synthesis. - Xingran Zhou; Siyu Huang; Bin Li 038; Yingming Li; Jiachen Li; Zhongfei Zhang (CVPR, 2019)

Fine-tune BERT with Sparse Self-Attention Mechanism. - Baiyun Cui; Yingming Li; Ming Chen; Zhongfei Zhang (EMNLP/IJCNLP (1), 2019)

Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning. - Tao Jin 004; Siyu Huang; Yingming Li; Zhongfei Zhang (EMNLP/IJCNLP (1), 2019)

Recurrent convolutional video captioning with global and local attention. - Tao Jin 004; Yingming Li; Zhongfei Zhang (Neurocomputing, 2019)

A Survey of Multi-View Representation Learning. - Yingming Li; Ming Yang 012; Zhongfei Zhang (IEEE Trans. Knowl. Data Eng., 2019)

BERT-enhanced Relational Sentence Ordering Network. - Baiyun Cui; Yingming Li; Zhongfei Zhang (EMNLP (1), 2020)

Dual Low-Rank Multimodal Fusion. - Tao Jin 004; Siyu Huang; Yingming Li; Zhongfei Zhang (EMNLP (Findings), 2020)

Gradient Deconfliction-Based Training For Multi-Exit Architectures. - Xinglu Wang; Yingming Li (ICIP, 2020)

SBAT: Video Captioning with Sparse Boundary-Aware Transformer. - Tao Jin 004; Siyu Huang; Ming Chen; Yingming Li; Zhongfei Zhang (IJCAI, 2020)

Affine Deformation Model Based Intra Block Copy for Intra Frame Coding. - Daowen Li; Zhihao Zhang; Kaitian Qiu; Yaqing Pan; Yingming Li; Haoji Roland Hu; Lu Yu 003 (ISCAS, 2020)

Deep Metric Learning with Spherical Embedding. - Dingyi Zhang; Yingming Li; Zhongfei Zhang (NeurIPS, 2020)

Attention-Aware Multi-Task Convolutional Neural Networks. - Kejie Lyu; Yingming Li; Zhongfei Zhang (IEEE Trans. Image Process., 2020)

Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures. - Xinglu Wang; Yingming Li (AAAI, 2021)

Pseudo-Label Generation-Evaluation Framework For Cross Domain Weakly Supervised Object Detection. - Shengxiong Ouyang; Xinglu Wang; Kejie Lyu; Yingming Li (ICIP, 2021)

Joint structured pruning and dense knowledge distillation for efficient transformer model compression. - Baiyun Cui; Yingming Li; Zhongfei Zhang (Neurocomputing, 2021)

Video-Grounded Dialogues with Joint Video and Image Training. - Hangyu Zhang; Yingming Li; Zhongfei Zhang (ICIP, 2022)

Multi-Proxy Learning from an Entropy Optimization Perspective. - Yunlong Yu; Dingyi Zhang; Yingming Li; Zhongfei Zhang (IJCAI, 2022)

Training a Lightweight ViT Network for Image Retrieval. - Hanqi Zhang; Yunlong Yu; Yingming Li; Zhongfei Zhang (PRICAI (3), 2022)

Few-shot font style transfer with multiple style encoders. - Kejun Zhang; Rui Zhang; Yonglin Wu; Yifei Li; Yonggen Ling; Bolin Wang; Lingyun Sun; Yingming Li (Sci. China Inf. Sci., 2022)

JSENet: A deep convolutional neural network for joint image super-resolution and enhancement. - Kejie Lyu; Sicheng Pan; Yingming Li; Zhongfei Zhang (Neurocomputing, 2022)

Deep image compression based on multi-scale deformable convolution. - Daowen Li; Yingming Li; Heming Sun; Lu Yu 003 (J. Vis. Commun. Image Represent., 2022)

Efficient Relational Sentence Ordering Network. - Yingming Li; Baiyun Cui; Zhongfei Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Multi-Scale Similarity Aggregation for Dynamic Metric Learning. - Dingyi Zhang; Yingming Li; Zhongfei Zhang (ACM Multimedia, 2023)

CAENet: Efficient Multi-task Learning for Joint Semantic Segmentation and Depth Estimation. - Luxi Wang; Yingming Li (ECML/PKDD (5), 2023)

Boosting Generalized Few-Shot Learning by Scattering Intra-class Distribution. - Yunlong Yu; Lisha Jin; Yingming Li (ECML/PKDD (2), 2023)

Efficient Context and Saliency Aware Transformer Network for No-Reference Image Quality Assessment. - Hui Li; Luxi Wang; Yingming Li (VCIP, 2023)

Multi-Context Interaction Network for Few-Shot Segmentation. - Hao Chen 107; Yunlong Yu; Yonghan Dong; Zheming Lu 001; Yingming Li; Zhongfei Zhang (CoRR, 2023)

Lightweight MIMO-WNet for single image deblurring. - Mushui Liu; Yunlong Yu; Yingming Li; Zhong Ji; Wen Chen; Yang Peng (Neurocomputing, 2023)

BART-based Hierarchical Attentional Network for Sentence Ordering. - Yiping Yang; Baiyun Cui; Yingming Li (CIKM, 2024)

Momentum Contrastive Bidirectional Encoding with Self-Distillation for Sequential Recommendation. - Dingyi Zhang; Haoyu Wenren; Yue Wang 106; Yingming Li (CIKM, 2024)

Adapting Pre-trained Generative Model to Medical Image for Data Augmentation. - Zhouhang Yuan; Zhengqing Fang; Zhengxing Huang; Fei Wu 001; Yu-Feng Yao; Yingming Li (MICCAI (5), 2024)

Quantizing Neural Networks with Knowledge Distillation for Efficient Video Quality Assessment. - Jiayuan Yu; Yingming Li (VCIP, 2024)

Global-local aware Heterogeneous Graph Contrastive Learning for multifaceted association prediction in miRNA-gene-disease networks. - Yuxuan Si; Zihan Huang; Zhengqing Fang; Zhouhang Yuan; Zhengxing Huang; Yingming Li; Ying Wei 001; Fei Wu 001; Yu-Feng Yao (Briefings Bioinform., 2024)

Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence. - Zhengqing Fang; Shuowen Zhou; Zhouhang Yuan; Yuxuan Si; Mengze Li 001; Jinxu Li; Yesheng Xu; Wenjia Xie; Kun Kuang; Yingming Li; Fei Wu 001; Yu-Feng Yao (CoRR, 2024)

CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation. - Mushui Liu; Jun Dan; Ziqian Lu; Yunlong Yu; Yingming Li; Xi Li 001 (CoRR, 2024)

Dense affinity matching for Few-Shot Segmentation. - Hao Chen 107; Yonghan Dong; Zheming Lu 001; Yunlong Yu; Yingming Li; Jungong Han; Zhongfei Zhang (Neurocomputing, 2024)

Exploring the Relationship Between Enterprise Digital Transformation and Green Technological Innovation: From the Perspective of Innovation Elements Searching. - Mingyue Wang; Yingming Li (IEEE Trans. Engineering Management, 2024)

Dual-DIANet: A sharing-learnable multi-task network based on dense information aggregation. - Kejie Lyu; Yingming Li; Zhongfei Zhang (Neurocomputing, 2024)

Multi-Content Interaction Network for Few-Shot Segmentation. - Hao Chen 107; Yunlong Yu; Yonghan Dong; Zheming Lu 001; Yingming Li; Zhongfei Zhang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

EBDNet: Integrating Optical Flow With Kernel Prediction for Burst Denoising. - Sicheng Pan; Yingming Li (IEEE Trans. Circuits Syst. Video Technol., 2024)

EKD4Rec: Ensemble Knowledge Distillation from LLM-based Models to Traditional Sequential Recommenders. - Yue Wang; Dingyi Zhang; Haoyu Wenren; Yue Wang; Yingming Li (WWW (Companion Volume), 2025)

Mask-free Iterative Refinement Network for weakly-supervised Few-shot Semantic Segmentation. - Shanjuan Chen; Yunlong Yu; Yingming Li; Ziqian Lu; Yulin Zhou (Neurocomputing, 2025)

LDINet: Latent decomposition-interpolation for single image fast-moving objects deblatting. - Haodong Fan; Dingyi Zhang; Yunlong Yu; Yingming Li (J. Vis. Commun. Image Represent., 2025)

Synth-CLIP: Synthetic data make CLIP generalize better in data-limited scenarios. - Mushui Liu; Weijie He; Ziqian Lu; Jun Dan; Yunlong Yu; Yingming Li; Xi Li 001; Jungong Han (Neural Networks, 2025)

Burst denoising transformer with multi-task optical flow estimation. - Sicheng Pan; Yingming Li (Neural Networks, 2025)

Multiscale Adapter Based on SAM for Remote Sensing Semantic Segmentation. - Shanjuan Chen; Yunlong Yu; Yingming Li; Zhao Wang; Xi Li 001; Jungong Han (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Multimodal Hierarchical Attentional Ordering Network. - Yiping Yang; Baiyun Cui; Yingming Li (ACM Trans. Multim. Comput. Commun. Appl., 2025)