Guiguang Ding

发表

Jianmin Wang, Wei Cheng, Mingsheng Long, 2012, SDM.

Active Learning with Cross-Class Similarity Transfer

Yue Gao, Jungong Han, Guiguang Ding, 2017, AAAI.

Model Transformation and Data Migration from Relational Database to MongoDB

Zheng Wang, Guiguang Ding, Xiaomeng Zhao, 2016, 2016 IEEE International Congress on Big Data (BigData Congress).

Multi-View Images Coding Based on Multiterminal Source Coding

Qionghai Dai, Guiguang Ding, Feng Yang, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Transfer Learning with Graph Co-Regularization

Jianmin Wang, Qiang Yang, Mingsheng Long, 2012, IEEE Transactions on Knowledge and Data Engineering.

Adaptation Regularization: A General Framework for Transfer Learning

Philip S. Yu, Jianmin Wang, Mingsheng Long, 2014, IEEE Transactions on Knowledge and Data Engineering.

Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression

Yue Gao, Rongrong Ji, Hongxun Yao, 2017, IEEE Transactions on Multimedia.

A line-diamond parallel search algorithm for block motion estimation

Qionghai Dai, Guiguang Ding, 2004, Third International Conference on Image and Graphics (ICIG'04).

Transfer Feature Learning with Joint Distribution Adaptation

Philip S. Yu, Jianmin Wang, Jia-Guang Sun, 2013, 2013 IEEE International Conference on Computer Vision.

Image Representation Optimization Based on Locally Aggregated Descriptors

Guiguang Ding, Yuchen Guo, Shijiang Chen, 2016, PAKDD.

Attend to Knowledge: Memory-Enhanced Attention Network for Image Captioning

Hui Chen, Jungong Han, Guiguang Ding, 2018, BICS.

SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing

Yue Gao, Jungong Han, Guiguang Ding, 2017, IJCAI.

Transductive Zero-Shot Recognition via Shared Model Space Learning

Jianmin Wang, Guiguang Ding, Yuchen Guo, 2016, AAAI.

Robust Nonnegative Matrix Factorization with Discriminability for image representation

Guiguang Ding, Yuchen Guo, Jile Zhou, 2015, 2015 IEEE International Conference on Multimedia and Expo (ICME).

Affine-Invariant Image Retrieval Based on Wavelet Interest Points

Qionghai Dai, Guiguang Ding, Feng Yang, 2005, 2005 IEEE 7th Workshop on Multimedia Signal Processing.

Personality Driven Multi-task Learning for Image Aesthetic Assessment

Guiguang Ding, Leida Li, Sicheng Zhao, 2019, 2019 IEEE International Conference on Multimedia and Expo (ICME).

Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse Learning

Youbao Tang, Qingming Huang, Xin Zhao, 2020, IEEE Transactions on Affective Computing.

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

Ji Liu, Guiguang Ding, Yuchen Guo, 2019, NeurIPS.

Ring Fingerprint Based on Interest Points for Video Copy Detection

Guiguang Ding, Rongxian Nie, 2010, 2010 IEEE International Symposium on Multimedia.

Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes

Bin Wang, Jungong Han, Guiguang Ding, 2018, IJCAI.

A Novel Digital Watermarking Method for New Viewpoint Video Based on Depth Map

Jianmin Wang, Guiguang Ding, Ning Zhu, 2008, 2008 Eighth International Conference on Intelligent Systems Design and Applications.

Multi-source image auto-annotation

Guiguang Ding, Mingqing Hu, Zijia Lin, 2013, 2013 IEEE International Conference on Image Processing.

Semi-Supervised Active Learning with Cross-Class Sample Transfer

Yue Gao, Jianmin Wang, Guiguang Ding, 2016, IJCAI.

Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment

Weisi Lin, Guiguang Ding, Leida Li, 2020, IEEE Transactions on Image Processing.

Kernel-based supervised hashing for cross-view similarity search

Qiang Liu, Guiguang Ding, Yuchen Guo, 2014, 2014 IEEE International Conference on Multimedia and Expo (ICME).

Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval

Ling Shao, Jungong Han, Guiguang Ding, 2017, IEEE Transactions on Image Processing.

On Trivial Solution and High Correlation Problems in Deep Supervised Hashing

Xin Zhao, Jungong Han, Guiguang Ding, 2018, AAAI.

Temporal-Difference Learning With Sampling Baseline for Image Captioning

Hui Chen, Jungong Han, Guiguang Ding, 2018, AAAI.

Multimodal visual dictionary learning via heterogeneous latent semantic sparse coding

Qiang Liu, Guiguang Ding, Yuchen Guo, 2014, Photonics Asia.

Lossless CNN Channel Pruning via Decoupling Remembering and Forgetting

Ji Liu, Guiguang Ding, Yuchen Guo, 2020 .

Compressive hyperspectral imaging mask optimization

Yongdong Zhang, Qionghai Dai, Chenggang Clarence Yan, 2018, ICIMCS '18.

Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion

Yue Gao, Jungong Han, Guiguang Ding, 2017, IJCAI.

GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition pdf

Hui Chen, Guiguang Ding, Börje F. Karlsson, 2019, AAAI.

Recurrent Attention Model for Pedestrian Attribute Recognition

Xin Zhao, Jungong Han, Guiguang Ding, 2019, AAAI.

Synthesizing Samples fro Zero-shot Learning

Jungong Han, Guiguang Ding, Yuchen Guo, 2017 .

Zero-Shot Learning With Transferred Samples

Yue Gao, Jungong Han, Guiguang Ding, 2017, IEEE Transactions on Image Processing.

Transfer Joint Matching for Unsupervised Domain Adaptation

Philip S. Yu, Jianmin Wang, Jia-Guang Sun, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Jungong Han, Guiguang Ding, Yuchen Guo, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation pdf

Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Pengfei Xu, 2020, IEEE Transactions on Cybernetics.

TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets

Yue Gao, Xin Zhao, Jungong Han, 2017, IJCAI.

A Distributed Video Coding Scheme Based on Denoising Techniques

Guiguang Ding, Feng Yang, 2007, MMM.

Image auto-annotation via tag-dependent random search over range-constrained visual neighbours

Guiguang Ding, Mingqing Hu, Zijia Lin, 2013, Multimedia Tools and Applications.

Image annotation based on recommendation model

Jianmin Wang, Guiguang Ding, Zijia Lin, 2011, SIGIR '11.

Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization

Guiguang Ding, Leida Li, Sicheng Zhao, 2020, IEEE Transactions on Cybernetics.

Latent semantic sparse hashing for cross-modal similarity search

Guiguang Ding, Yuchen Guo, Jile Zhou, 2014, SIGIR.

Semantic classifier based on compressed sensing for image and video annotation

Guiguang Ding, K. Qin, 2010 .

Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization pdf

Ji Liu, Guiguang Ding, Yuchen Guo, 2020, ArXiv.

Wyner-Ziv Video Coding with Part Intracoding

Guiguang Ding, 2007, Fourth International Conference on Image and Graphics (ICIG 2007).

Shallow Feature Based Dense Attention Network for Crowd Counting

Guiguang Ding, Jungong Han, Zijia Lin, 2020, AAAI.

From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis

Ling Shao, Fumin Shen, Yang Long, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Distributed source coding theorem based region of interest image compression method

Feng Yang, Qionghai Dai, Guiguang Ding, 2005 .

Robust and Discriminative Concept Factorization for Image Representation

Qiang Liu, Guiguang Ding, Yuchen Guo, 2015, ICMR.

Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure

Jungong Han, Guiguang Ding, Yuchen Guo, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks

Sheng Tang, Jungong Han, Guiguang Ding, 2018, AAAI.

On Aggregation of Unsupervised Deep Binary Descriptor With Weak Bits

Guiguang Ding, Jungong Han, Qiang Ni, 2020, IEEE Transactions on Image Processing.

Inherent Replica Inconsistency in Cassandra

Jianmin Wang, Jian Bai, Mingsheng Long, 2014, 2014 IEEE International Congress on Big Data.

Where to Prune: Using LSTM to Guide End-to-end Pruning

Bin Wang, Jungong Han, Guiguang Ding, 2018, IJCAI.

Autonomous Semantic Community Detection via Adaptively Weighted Low-rank Approximation

Xiaochun Cao, Di Jin, Weixiong Zhang, 2019, ACM Transactions on Multimedia Computing, Communications, and Applications.

Distributed video coding based on part intracoding and soft side information estimation

Guiguang Ding, 2008, Multimedia Tools and Applications.

Adaptive-Push Peer-to-Peer Video Streaming System Based on Dynamic Unstructured Topology

Jianmin Wang, Yizheng Chen, Guiguang Ding, 2009, 2009 Fifth International Conference on Information Assurance and Security.

Landmark Selection for Zero-shot Learning

Qionghai Dai, Chenggang Clarence Yan, Guiguang Ding, 2019, IJCAI.

Robust Iterative Quantization for Efficient ℓp-norm Similarity Search

Jungong Han, Guiguang Ding, Yuchen Guo, 2016, IJCAI.

Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing

Yue Gao, Guiguang Ding, Yuchen Guo, 2016, IEEE Transactions on Image Processing.

Multi-label Classification via Feature-aware Implicit Label Space Encoding

Jianmin Wang, Guiguang Ding, Mingqing Hu, 2014, ICML.

Multi-Domain Active Learning for Recommendation

Qiang Yang, Guiguang Ding, Xiaoming Jin, 2016, AAAI.

Gaussian Cardinality Restricted Boltzmann Machines

Guiguang Ding, Xiaoming Jin, Dou Shen, 2015, AAAI.

Joint Optimization in Cached-Enabled Heterogeneous Network for Efficient Industrial IoT

Gan Zheng, Guiguang Ding, Jiachen Yang, 2020, IEEE Journal on Selected Areas in Communications.

End-to-End Feature-Aware Label Space Encoding for Multilabel Classification With Many Classes

Ling Shao, Jungong Han, Guiguang Ding, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Semantics-preserving hashing for cross-view retrieval

Jianmin Wang, Guiguang Ding, Mingqing Hu, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels

Yue Gao, Jungong Han, Guiguang Ding, 2017, AAAI.

Cyber-Physical Security Design in Multimedia Data Cache Resource Allocation for Industrial Networks

Guiguang Ding, Bin Jiang, Jiachen Yang, 2019, IEEE Transactions on Industrial Informatics.

Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification

Li Chen, Weishi Zhang, Guiguang Ding, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Scalable video coding based on Wyner-Ziv framework

Feng Yang, Qionghai Dai, Guiguang Ding, 2005, Visual Communications and Image Processing.

Correction to: Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together

Guiguang Ding, Yuwei He, 2020, Neural Processing Letters.

Image Captioning with Memorized Knowledge

Guiguang Ding, Caifeng Shan, Yuchen Guo, 2019, Cognitive Computation.

Where to Prune: Using LSTM to Guide Data-Dependent Soft Pruning

Guiguang Ding, Jungong Han, Jing Zhong, 2020, IEEE Transactions on Image Processing.

Automatic image annotation using tag-related random search over visual neighbors

Jianmin Wang, Jia-Guang Sun, Guiguang Ding, 2012, CIKM.

Zero-Shot Learning With Attribute Selection

Sheng Tang, Jungong Han, Guiguang Ding, 2018, AAAI.

Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing

Jungong Han, Guiguang Ding, Jianmin Wang, 2017, IEEE Transactions on Cybernetics.

Personalized Emotion Recognition by Personality-Aware High-Order Learning of Physiological Signals

Kurt Keutzer, Jungong Han, Guiguang Ding, 2019, ACM Trans. Multim. Comput. Commun. Appl..

Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval

Ling Shao, Qiang Ni, Jungong Han, 2019, IEEE Transactions on Image Processing.

Collective Matrix Factorization Hashing for Multimodal Data

Guiguang Ding, Yuchen Guo, Jile Zhou, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together

Guiguang Ding, Yuwei He, Guiguang Ding, 2019, Neural Processing Letters.

Panorama-based multi-view video coding

Wei Li, Guiguang Ding, 2008, 2008 International Conference on Audio, Language and Image Processing.

Predicting Personalized Image Emotion Perceptions in Social Networks

Yue Gao, Tat-Seng Chua, Hongxun Yao, 2018, IEEE Transactions on Affective Computing.

CosSimReg: An Effective Transfer Learning Method in Social Recommender System

Qiang Liu, Guiguang Ding, Cong Liu, 2014, ICIC.

Real-Time Scalable Visual Tracking via Quadrangle Kernelized Correlation Filters

Jungong Han, Guiguang Ding, Sicheng Zhao, 2018, IEEE Transactions on Intelligent Transportation Systems.

DECODE: Deep Confidence Network for Robust Image Classification

Qionghai Dai, Jungong Han, Guiguang Ding, 2019, IEEE Transactions on Image Processing.

Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation

Jun-Hai Yong, Guiguang Ding, Bin Wang, 2017, AAAI.

RepVGG: Making VGG-style ConvNets Great Again pdf

Xiangyu Zhang, Guiguang Ding, Jungong Han, 2021, ArXiv.

Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning

Xin Zhao, Guiguang Ding, Yuchen Guo, 2018, IJCAI.

Wyner-Ziv coding based on signal denoising technique

Guiguang Ding, Xiaodong Shen, 2008 .

Accelerated Manhattan hashing via bit-remapping with location information

Guiguang Ding, Jisheng Pei, Zijia Lin, 2015, Multimedia Tools and Applications.

EmotionGAN: Unsupervised Domain Adaptation for Learning Discrete Probability Distributions of Image Emotions

Kurt Keutzer, Xin Zhao, Guiguang Ding, 2018, ACM Multimedia.

Learning Visual Emotion Distributions via Multi-Modal Features Fusion

Yue Gao, Jungong Han, Guiguang Ding, 2017, ACM Multimedia.

Joint Image-Text Hashing for Fast Large-Scale Cross-Media Retrieval Using Self-Supervised Deep Learning

Qiang Ni, Jungong Han, Guiguang Ding, 2019, IEEE Transactions on Industrial Electronics.

PANDA: A Gigapixel-Level Human-Centric Video Dataset

Xiya Zhang, Guiguang Ding, Yuchen Guo, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Attribute-based supervised deep learning model for action recognition

Kai Chen, Jungong Han, Guiguang Ding, 2017, Frontiers of Computer Science.

Distribution Regularized Nonnegative Matrix Factorization for Transfer Visual Feature Learning

Qiang Liu, Guiguang Ding, Yuchen Guo, 2015, ICMR.

Neural Image Caption Generation with Weighted Training and Reference

Qiang Liu, Jungong Han, Guiguang Ding, 2018, Cognitive Computation.

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification pdf

Guiguang Ding, Liuyu Xiang, 2020, ECCV.

Learning Predictable and Discriminative Attributes for Visual Recognition

Jianmin Wang, Guiguang Ding, Yuchen Guo, 2015, AAAI.

Mid-model Design Used in Model Transition and Data Migration between Relational Databases and NoSQL Databases

Guiguang Ding, Yunzhen Lin, Dongzhao Liang, 2015, 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity).

Shadow Detection Using Robust Texture Learning

Jun-Hai Yong, Guiguang Ding, Bin Wang, 2018, BMVC.

Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval

Jungong Han, Guiguang Ding, Baochang Zhang, 2018, IJCAI.

Incremental Few-Shot Learning for Pedestrian Attribute Recognition

Guiguang Ding, Jungong Han, Leida Li, 2019, IJCAI.

Large-scale image retrieval with Sparse Embedded Hashing

Jungong Han, Guiguang Ding, Yuchen Guo, 2017, Neurocomputing.

Real-Time Multimedia Social Event Detection in Microblog

Yue Gao, Tat-Seng Chua, Guiguang Ding, 2018, IEEE Transactions on Cybernetics.

Query expansion for object retrieval with active learning using BoW and CNN feature

Xin Zhao, Guiguang Ding, Guiguang Ding, 2017, Multimedia Tools and Applications.

Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions

Jianmin Wang, Guiguang Ding, Xiaojun Ye, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Twin Bridge Transfer Learning for Sparse Collaborative Filtering

Jianmin Wang, Qiang Liu, Mingsheng Long, 2013, PAKDD.

2019 Formatting Instructions for Authors Using LaTeX pdf

Guiguang Ding, Xiaoming Jin, Lan Yi, 2017 .

Adaptive Key Frame Selection Wyner-Ziv Video Coding

Qionghai Dai, Guiguang Ding, Feng Yang, 2005, 2005 IEEE 7th Workshop on Multimedia Signal Processing.

Cross-Modal Image-Text Retrieval with Semantic Consistency

Guiguang Ding, Jungong Han, Sicheng Zhao, 2019, ACM Multimedia.

Affective Image Content Analysis: A Comprehensive Survey

Qingming Huang, Björn W. Schuller, Kurt Keutzer, 2018, IJCAI.

Towards Better Uncertainty Sampling: Active Learning with Multiple Views for Deep Convolutional Neural Network

Chenggang Yan, Guiguang Ding, Xiaoming Jin, 2019, 2019 IEEE International Conference on Multimedia and Expo (ICME).

Reference Based LSTM for Image Captioning

Qiang Liu, Hui Chen, Jungong Han, 2017, AAAI.

IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval

Ji Liu, Guiguang Ding, Jungong Han, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data

Guiguang Ding, Yuchen Guo, Jungong Han, 2020, AAAI.

CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions

Kurt Keutzer, Pengfei Xu, Guiguang Ding, 2019, AAAI.

Video annotation based on adaptive annular spatial partition scheme

Guiguang Ding, Xiaoxu Li, Lu Zhang, 2010, IEICE Electron. Express.

Unsupervised Deep Video Hashing with Balanced Rotation

Ling Shao, Jungong Han, Guiguang Ding, 2017, IJCAI.

A new region-of-interest image compression method based on Wyner-Ziv coding

Feng Yang, Qionghai Dai, Guiguang Ding, 2005, Visual Communications and Image Processing.

Image tag completion via dual-view linear sparse reconstructions

Shuzhi Sam Ge, Guiguang Ding, Yunzhen Lin, 2014, Comput. Vis. Image Underst..

Motion-Compensated 3D Wavelet Video Coding Based on Adaptive Temporal Lifting Filter Implementation

Qionghai Dai, Guiguang Ding, Wenli Xu, 2005, CIS.

MEIAH: Mixing explicit and implicit formulation of attributes in binary representation for person re-identification

Guiguang Ding, Xin Zhao, Liufang Sang, 2019, Multimedia Tools and Applications.

A New Fingerprint Sequences Matching Algorithm for Content-Based Copy Detection

Jianmin Wang, Li Zhang, Guiguang Ding, 2009, 2009 Fifth International Conference on Information Assurance and Security.

Transfer Sparse Coding for Robust Image Representation

Philip S. Yu, Jianmin Wang, Jia-Guang Sun, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Low Shot Box Correction for Weakly Supervised Object Detection

Bin Wang, Jun-Hai Yong, Guiguang Ding, 2019, IJCAI.

Personality-Aware Personalized Emotion Recognition from Physiological Signals

Yue Gao, Jungong Han, Guiguang Ding, 2018, IJCAI.

Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks

Qionghai Dai, Guiguang Ding, Yuchen Guo, 2019, IJCAI.

Automatic semantic annotation of images based on Web data

Guiguang Ding, Na Xu, 2010, 2010 Sixth International Conference on Information Assurance and Security.

Sequential Discrete Hashing for Scalable Cross-Modality Similarity Retrieval

Ling Shao, Fumin Shen, Jungong Han, 2017, IEEE Transactions on Image Processing.

Fast motion estimation algorithm based on predictive line diamond search technology

Qionghai Dai, Guiguang Ding, Wenli Xu, 2005, Proceedings. 2005 International Conference on Communications, Circuits and Systems, 2005..

Automatic Image Annotations by Mining Web Image Data

Jianmin Wang, Guiguang Ding, Na Xu, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans pdf

Shaohuai Shi, Xiaowen Chu, Guiguang Ding, 2021, ArXiv.

Robust Quantization for General Similarity Search

Jungong Han, Guiguang Ding, Yuchen Guo, 2018, IEEE Transactions on Image Processing.

Optimized projection for hashing

Kai Chen, Jungong Han, Guiguang Ding, 2019, Pattern Recognit. Lett..

Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning

Hui Chen, Jungong Han, Guiguang Ding, 2018, IJCAI.

Autority aware expert search: Algorithm and system for NSFC

Guiguang Ding, Jianmin Wang, Xiaoyun Mai, 2012 .

PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression

Kurt Keutzer, Guiguang Ding, Leida Li, 2019, ACM Multimedia.

A Novel Watermarking Method For Wyner-Ziv Video Coding

Jianmin Wang, Guiguang Ding, Ning Zhu, 2008, 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

Generating virtual ratings from chinese reviews to augment online recommendations

Li Chen, Weishi Zhang, Guiguang Ding, 2013, TIST.

A visual word weighting scheme based on emerging itemsets for video annotation

Jianmin Wang, Guiguang Ding, Kai Qin, 2010, Inf. Process. Lett..

Synthesizing Samples for Zero-shot Learning

Yue Gao, Jungong Han, Guiguang Ding, 2017, IJCAI.

Dual-View Ranking with Hardness Assessment for Zero-Shot Learning

Qionghai Dai, Jungong Han, Zheng Wang, 2019, AAAI.

FREE-VIEWPOINT VIDEO WATERMARKING BASED ON DEPTH MAP

Guiguang Ding, Ning Zhu, Jianmin Wang, 2010 .

Automatic Gating of Attributes in Deep Structure

Guiguang Ding, Tao He, Xiaoming Jin, 2018, IJCAI.

Matrix Factorization Meets Cosine Similarity: Addressing Sparsity Problem in Collaborative Filtering Recommender System

Cong Liu, Jianming Wang, Guiguang Ding, 2014, APWeb.

STS: Spatial-Temporal-Semantic Personalized Location Recommendation

Chenggang Clarence Yan, Guiguang Ding, Wenchao Li, 2020, ISPRS Int. J. Geo Inf..

Zero-shot multi-label learning via label factorisation

Jungong Han, Guiguang Ding, Yuchen Guo, 2019, IET Comput. Vis..

Approximated Oracle Filter Pruning for Destructive CNN Width Optimization

Jungong Han, Chenggang Yan, Guiguang Ding, 2019, ICML.

LODE: Deep Local Deblurring and A New Benchmark pdf

Guiguang Ding, Yuchen Guo, Jie Hu, 2021, ArXiv.

Deep image compression with multi-stage representation

Guiguang Ding, Fan Li, Jungong Han, 2021, J. Vis. Commun. Image Represent..

Affective Image Content Analysis: Two Decades Review and New Perspectives

Kurt Keutzer, Tat-Seng Chua, Guiguang Ding, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Increasing Oversampling Diversity for Long-Tailed Visual Recognition

Guiguang Ding, Liuyu Xiang, Jungong Han, 2021, CICAI.

Learning Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes

Guiguang Ding, Zijia Lin, Jungong Han, 2021, IEEE Transactions on Image Processing.

Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN pdf

Guiguang Ding, Yuchen Guo, Jungong Han, 2021, ArXiv.

Computational Emotion Analysis From Images: Recent Advances and Future Directions pdf

Youbao Tang, Guiguang Ding, Sicheng Zhao, 2021, Human Perception of Visual Information.

TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification pdf

Guiguang Ding, Kai Chen, Tao He, 2021, ACM Multimedia.

Emotion Recognition From Multiple Modalities: Fundamentals and methodologies

Kurt Keutzer, Guiguang Ding, Sicheng Zhao, 2021, IEEE Signal Processing Magazine.

Diverse Branch Block: Building a Convolution as an Inception-like Unit

Guiguang Ding, Jungong Han, Xiaohan Ding, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality pdf

Guiguang Ding, Xiangyu Zhang, Jungong Han, 2021, ArXiv.

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition pdf

Guiguang Ding, Jungong Han, Xiaohan Ding, 2021, ArXiv.

The 2020 Low-Power Computer Vision Challenge

Gang Zhang, Guiguang Ding, Xiangru Lian, 2021, 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Active Learning with Cross-Class Knowledge Transfer

Guiguang Ding, Yuchen Guo, Xiaoming Jin, 2016, AAAI.