A line-diamond parallel search algorithm for block motion estimation. - Guiguang Ding; Qionghai Dai (ICIG, 2004)

Motion-Compensated 3D Wavelet Video Coding Based on Adaptive Temporal Lifting Filter Implementation. - Guiguang Ding; Qionghai Dai; Wenli Xu (CIS (2), 2005)

Affine-Invariant Image Retrieval Based on Wavelet Interest Points. - Guiguang Ding; Qionghai Dai; Wenli Xu; Feng Yang (MMSP, 2005)

Adaptive Key Frame Selection Wyner-Ziv Video Coding. - Feng Yang; Guiguang Ding; Qionghai Dai; Yaguang Yin (MMSP, 2005)

Multi-View Images Coding Based on Multiterminal Source Coding. - Feng Yang; Qionghai Dai; Guiguang Ding (ICASSP (1), 2007)

A Distributed Video Coding Scheme Based on Denoising Techniques. - Guiguang Ding; Feng Yang (MMM (1), 2007)

A Multi-view Video Coding Method Based on Distributed Source Coding for Free Viewpoint Switching. - Guiguang Ding (IIH-MSP, 2008)

A Novel Watermarking Method For Wyner-Ziv Video Coding. - Ning Zhu; Guiguang Ding; Yaguang Yin; Jianmin Wang 001 (IIH-MSP, 2008)

A Novel Digital Watermarking Method for New Viewpoint Video Based on Depth Map. - Ning Zhu; Guiguang Ding; Jianmin Wang 001 (ISDA (2), 2008)

A New Fingerprint Sequences Matching Algorithm for Content-Based Copy Detection. - Rongxian Nie; Guiguang Ding; Jianmin Wang 001; Li Zhang 065 (IAS, 2009)

Adaptive-Push Peer-to-Peer Video Streaming System Based on Dynamic Unstructured Topology. - Xiaodong Shen; Guiguang Ding; Yizheng Chen; Jianmin Wang 001 (IAS, 2009)

Automatic Image Annotations by Mining Web Image Data. - Guiguang Ding; Jianmin Wang 001; Na Xu; Lu Zhang 014 (ICDM Workshops, 2009)

Distributed video coding based on part intracoding and soft side information estimation. - Guiguang Ding (Multim. Tools Appl., 2009)

Automatic semantic annotation of images based on Web data. - Guiguang Ding; Na Xu (IAS, 2010)

Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification. - Weishi Zhang; Guiguang Ding; Li Chen 009; Chunping Li (ICDM Workshops, 2010)

Ring Fingerprint Based on Interest Points for Video Copy Detection. - Guiguang Ding; Rongxian Nie (ISM, 2010)

Video annotation based on adaptive annular spatial partition scheme. - Guiguang Ding; Lu Zhang 014; Xiaoxu Li (IEICE Electron. Express, 2010)

A visual word weighting scheme based on emerging itemsets for video annotation. - Guiguang Ding; Jianmin Wang 001; Kai Qin (Inf. Process. Lett., 2010)

Image annotation based on recommendation model. - Zijia Lin; Guiguang Ding; Jianmin Wang 001 (SIGIR, 2011)

Automatic image annotation using tag-related random search over visual neighbors. - Zijia Lin; Guiguang Ding; Mingqing Hu; Jianmin Wang 001; Jiaguang Sun 001 (CIKM, 2012)

Dual Transfer Learning. - Mingsheng Long; Jianmin Wang 001; Guiguang Ding; Wei Cheng 002; Xiang Zhang 001; Wei Wang 010 (SDM, 2012)

Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions. - Zijia Lin; Guiguang Ding; Mingqing Hu; Jianmin Wang 001; Xiaojun Ye 001 (CVPR, 2013)

Transfer Sparse Coding for Robust Image Representation. - Mingsheng Long; Guiguang Ding; Jianmin Wang 001; Jiaguang Sun 001; Yuchen Guo; Philip S. Yu (CVPR, 2013)

Transfer Feature Learning with Joint Distribution Adaptation. - Mingsheng Long; Jianmin Wang 001; Guiguang Ding; Jiaguang Sun 001; Philip S. Yu (ICCV, 2013)

Multi-source image auto-annotation. - Zijia Lin; Guiguang Ding; Mingqing Hu (ICIP, 2013)

Twin Bridge Transfer Learning for Sparse Collaborative Filtering. - Jiangfeng Shi; Mingsheng Long; Qiang Liu 016; Guiguang Ding; Jianmin Wang 001 (PAKDD (1), 2013)

Generating virtual ratings from chinese reviews to augment online recommendations. - Weishi Zhang; Guiguang Ding; Li Chen 009; Chunping Li; Chengbo Zhang (ACM Trans. Intell. Syst. Technol., 2013)

Matrix Factorization Meets Cosine Similarity: Addressing Sparsity Problem in Collaborative Filtering Recommender System. - Hailong Wen; Guiguang Ding; Cong Liu; Jianming Wang (APWeb, 2014)

Inherent Replica Inconsistency in Cassandra. - Xiangdong Huang 001; Jianmin Wang 001; Jian Bai; Guiguang Ding; Mingsheng Long (BigData Congress, 2014)

Collective Matrix Factorization Hashing for Multimodal Data. - Guiguang Ding; Yuchen Guo; Jile Zhou (CVPR, 2014)

Transfer Joint Matching for Unsupervised Domain Adaptation. - Mingsheng Long; Jianmin Wang 001; Guiguang Ding; Jiaguang Sun 001; Philip S. Yu (CVPR, 2014)

CosSimReg: An Effective Transfer Learning Method in Social Recommender System. - Hailong Wen; Cong Liu; Guiguang Ding; Qiang Liu 016 (ICIC (1), 2014)

Kernel-based supervised hashing for cross-view similarity search. - Jile Zhou; Guiguang Ding; Yuchen Guo; Qiang Liu 016; XinPeng Dong (ICME, 2014)

Multi-label Classification via Feature-aware Implicit Label Space Encoding. - Zijia Lin; Guiguang Ding; Mingqing Hu; Jianmin Wang 001 (ICML, 2014)

Latent semantic sparse hashing for cross-modal similarity search. - Jile Zhou; Guiguang Ding; Yuchen Guo (SIGIR, 2014)

Image tag completion via dual-view linear sparse reconstructions. - Zijia Lin; Guiguang Ding; Mingqing Hu; Yunzhen Lin; Shuzhi Sam Ge (Comput. Vis. Image Underst., 2014)

Transfer Learning with Graph Co-Regularization. - Mingsheng Long; Jianmin Wang 001; Guiguang Ding; Dou Shen; Qiang Yang 001 (IEEE Trans. Knowl. Data Eng., 2014)

Adaptation Regularization: A General Framework for Transfer Learning. - Mingsheng Long; Jianmin Wang 001; Guiguang Ding; Sinno Jialin Pan; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2014)

Learning Predictable and Discriminative Attributes for Visual Recognition. - Yuchen Guo; Guiguang Ding; Xiaoming Jin; Jianmin Wang 001 (AAAI, 2015)

Gaussian Cardinality Restricted Boltzmann Machines. - Cheng Wan; Xiaoming Jin; Guiguang Ding; Dou Shen (AAAI, 2015)

Semantics-preserving hashing for cross-view retrieval. - Zijia Lin; Guiguang Ding; Mingqing Hu; Jianmin Wang 001 (CVPR, 2015)

Robust Nonnegative Matrix Factorization with Discriminability for image representation. - Yuchen Guo; Guiguang Ding; Jile Zhou (ICME, 2015)

Distribution Regularized Nonnegative Matrix Factorization for Transfer Visual Feature Learning. - Yuchen Guo; Guiguang Ding; Qiang Liu 016 (ICMR, 2015)

Robust and Discriminative Concept Factorization for Image Representation. - Yuchen Guo; Guiguang Ding; Jile Zhou; Qiang Liu 016 (ICMR, 2015)

Mid-model Design Used in Model Transition and Data Migration between Relational Databases and NoSQL Databases. - Dongzhao Liang; Yunzhen Lin; Guiguang Ding (SmartCity, 2015)

Image auto-annotation via tag-dependent random search over range-constrained visual neighbours. - Zijia Lin; Guiguang Ding; Mingqing Hu (Multim. Tools Appl., 2015)

Transductive Zero-Shot Recognition via Shared Model Space Learning. - Yuchen Guo; Guiguang Ding; Xiaoming Jin; Jianmin Wang 001 (AAAI, 2016)

Active Learning with Cross-Class Knowledge Transfer. - Yuchen Guo; Guiguang Ding; Yuqi Wang; Xiaoming Jin (AAAI, 2016)

Multi-Domain Active Learning for Recommendation. - Zihan Zhang; Xiaoming Jin; Lianghao Li; Guiguang Ding; Qiang Yang 001 (AAAI, 2016)

Model Transformation and Data Migration from Relational Database to MongoDB. - Tianyu Jia; Xiaomeng Zhao; Zheng Wang 001; Dahan Gong; Guiguang Ding (BigData Congress, 2016)

Semi-Supervised Active Learning with Cross-Class Sample Transfer. - Yuchen Guo; Guiguang Ding; Yue Gao 002; Jianmin Wang 001 (IJCAI, 2016)

Robust Iterative Quantization for Efficient ℓp-norm Similarity Search. - Yuchen Guo; Guiguang Ding; Jungong Han; Xiaoming Jin (IJCAI, 2016)

Image Representation Optimization Based on Locally Aggregated Descriptors. - Shijiang Chen; Guiguang Ding; Chenxiao Li; Yuchen Guo (PAKDD (2), 2016)

Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing. - Guiguang Ding; Yuchen Guo; Jile Zhou; Yue Gao 002 (IEEE Trans. Image Process., 2016)

Reference Based LSTM for Image Captioning. - Minghai Chen; Guiguang Ding; Sicheng Zhao; Hui Chen 013; Qiang Liu 016; Jungong Han (AAAI, 2017)

Active Learning with Cross-Class Similarity Transfer. - Yuchen Guo; Guiguang Ding; Yue Gao 002; Jungong Han (AAAI, 2017)

Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels. - Yuchen Guo; Guiguang Ding; Jungong Han; Yue Gao 002 (AAAI, 2017)

Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation. - Tianxiang Pan; Bin Wang 021; Guiguang Ding; Jun-Hai Yong (AAAI, 2017)

From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis. - Yang Long 001; Li Liu 004; Ling Shao 001; Fumin Shen; Guiguang Ding; Jungong Han (CVPR, 2017)

SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing. - Yuchen Guo; Guiguang Ding; Jungong Han; Yue Gao 002 (IJCAI, 2017)

Synthesizing Samples for Zero-shot Learning. - Yuchen Guo; Guiguang Ding; Jungong Han; Yue Gao 002 (IJCAI, 2017)

Unsupervised Deep Video Hashing with Balanced Rotation. - Gengshen Wu; Li Liu 004; Yuchen Guo; Guiguang Ding; Jungong Han; Jialie Shen 001; Ling Shao 001 (IJCAI, 2017)

Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion. - Sicheng Zhao; Guiguang Ding; Yue Gao 002; Jungong Han (IJCAI, 2017)

TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets. - Xin Zhao 020; Guiguang Ding; Yuchen Guo; Jungong Han; Yue Gao 002 (IJCAI, 2017)

Learning Visual Emotion Distributions via Multi-Modal Features Fusion. - Sicheng Zhao; Guiguang Ding; Yue Gao 002; Jungong Han (ACM Multimedia, 2017)

Attribute-based supervised deep learning model for action recognition. - Kai Chen; Guiguang Ding; Jungong Han (Frontiers Comput. Sci., 2017)

Large-scale image retrieval with Sparse Embedded Hashing. - Guiguang Ding; Jile Zhou; Yuchen Guo; Zijia Lin; Sicheng Zhao; Jungong Han (Neurocomputing, 2017)

Accelerated Manhattan hashing via bit-remapping with location information. - Wenshuo Chen; Guiguang Ding; Zijia Lin; Iyad Jafar; Jisheng Pei (Multim. Tools Appl., 2017)

Query expansion for object retrieval with active learning using BoW and CNN feature. - Xin Zhao 020; Guiguang Ding (Multim. Tools Appl., 2017)

Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing. - Zijia Lin; Guiguang Ding; Jungong Han; Jianmin Wang 001 (IEEE Trans. Cybern., 2017)

Zero-Shot Learning With Transferred Samples. - Yuchen Guo; Guiguang Ding; Jungong Han; Yue Gao 002 (IEEE Trans. Image Process., 2017)

Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval. - Yuchen Guo; Guiguang Ding; Li Liu 004; Jungong Han; Ling Shao 001 (IEEE Trans. Image Process., 2017)

Sequential Discrete Hashing for Scalable Cross-Modality Similarity Retrieval. - Li Liu 004; Zijia Lin; Ling Shao 001; Fumin Shen; Guiguang Ding; Jungong Han (IEEE Trans. Image Process., 2017)

Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression. - Sicheng Zhao; Hongxun Yao; Yue Gao 002; Rongrong Ji; Guiguang Ding (IEEE Trans. Multim., 2017)

Temporal-Difference Learning With Sampling Baseline for Image Captioning. - Hui Chen 013; Guiguang Ding; Sicheng Zhao; Jungong Han (AAAI, 2018)

Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks. - Xiaohan Ding; Guiguang Ding; Jungong Han; Sheng Tang (AAAI, 2018)

Zero-Shot Learning With Attribute Selection. - Yuchen Guo; Guiguang Ding; Jungong Han; Sheng Tang (AAAI, 2018)

On Trivial Solution and High Correlation Problems in Deep Supervised Hashing. - Yuchen Guo; Xin Zhao 020; Guiguang Ding; Jungong Han (AAAI, 2018)

Attend to Knowledge: Memory-Enhanced Attention Network for Image Captioning. - Hui Chen 013; Guiguang Ding; Zijia Lin; Yuchen Guo; Jungong Han (BICS, 2018)

Shadow Detection Using Robust Texture Learning. - Tianxiang Pan; Bin Wang 021; Guiguang Ding; Jun-Hai Yong (BMVC, 2018)

Compressive hyperspectral imaging mask optimization. - Binbin Lv; Jiamin Wu; Chenggang Yan 001; Xinhong Hao; Guiguang Ding; Yongdong Zhang 001; Qionghai Dai (ICIMCS, 2018)

Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning. - Hui Chen 013; Guiguang Ding; Zijia Lin; Sicheng Zhao; Jungong Han (IJCAI, 2018)

Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes. - Yuchen Guo; Guiguang Ding; Jungong Han; Sicheng Zhao; Bin Wang 021 (IJCAI, 2018)

Automatic Gating of Attributes in Deep Structure. - Xiaoming Jin; Tao He; Cheng Wan; Lan Yi; Guiguang Ding; Dou Shen (IJCAI, 2018)

Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval. - Gengshen Wu; Zijia Lin; Jungong Han; Li Liu 004; Guiguang Ding; Baochang Zhang 001; Jialie Shen 001 (IJCAI, 2018)

Affective Image Content Analysis: A Comprehensive Survey. - Sicheng Zhao; Guiguang Ding; Qingming Huang; Tat-Seng Chua; Björn W. Schuller; Kurt Keutzer (IJCAI, 2018)

Personality-Aware Personalized Emotion Recognition from Physiological Signals. - Sicheng Zhao; Guiguang Ding; Jungong Han; Yue Gao 002 (IJCAI, 2018)

Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning. - Xin Zhao 020; Liufang Sang; Guiguang Ding; Yuchen Guo; Xiaoming Jin (IJCAI, 2018)

Where to Prune: Using LSTM to Guide End-to-end Pruning. - Jing Zhong; Guiguang Ding; Yuchen Guo; Jungong Han; Bin Wang 021 (IJCAI, 2018)

EmotionGAN: Unsupervised Domain Adaptation for Learning Discrete Probability Distributions of Image Emotions. - Sicheng Zhao; Xin Zhao 020; Guiguang Ding; Kurt Keutzer (ACM Multimedia, 2018)

Predicting Personalized Image Emotion Perceptions in Social Networks. - Sicheng Zhao; Hongxun Yao; Yue Gao 002; Guiguang Ding; Tat-Seng Chua (IEEE Trans. Affect. Comput., 2018)

Real-Time Multimedia Social Event Detection in Microblog. - Sicheng Zhao; Yue Gao 002; Guiguang Ding; Tat-Seng Chua (IEEE Trans. Cybern., 2018)

Robust Quantization for General Similarity Search. - Yuchen Guo; Guiguang Ding; Jungong Han (IEEE Trans. Image Process., 2018)

Real-Time Scalable Visual Tracking via Quadrangle Kernelized Correlation Filters. - Guiguang Ding; Wenshuo Chen; Sicheng Zhao; Jungong Han; Qiaoyan Liu (IEEE Trans. Intell. Transp. Syst., 2018)

End-to-End Feature-Aware Label Space Encoding for Multilabel Classification With Many Classes. - Zijia Lin; Guiguang Ding; Jungong Han; Ling Shao 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition. - Hui Chen 013; Zijia Lin; Guiguang Ding; Jianguang Lou; Yusen Zhang 003; Börje Karlsson 001 (AAAI, 2019)

Dual-View Ranking with Hardness Assessment for Zero-Shot Learning. - Yuchen Guo; Guiguang Ding; Jungong Han; Xiaohan Ding; Sicheng Zhao; Zheng Wang 001; Chenggang Yan 001; Qionghai Dai (AAAI, 2019)

Adaptive Region Embedding for Text Classification. - Liuyu Xiang; Xiaoming Jin; Lan Yi; Guiguang Ding (AAAI, 2019)

CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions. - Sicheng Zhao; Chuang Lin 003; Pengfei Xu 013; Sendong Zhao; Yuchen Guo; Ravi Krishna; Guiguang Ding; Kurt Keutzer (AAAI, 2019)

Recurrent Attention Model for Pedestrian Attribute Recognition. - Xin Zhao 020; Liufang Sang; Guiguang Ding; Jungong Han; Na Di; Chenggang Yan 001 (AAAI, 2019)

Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. - Xiaohan Ding; Guiguang Ding; Yuchen Guo; Jungong Han (CVPR, 2019)

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. - Xiaohan Ding; Yuchen Guo; Guiguang Ding; Jungong Han (ICCV, 2019)

Towards Better Uncertainty Sampling: Active Learning with Multiple Views for Deep Convolutional Neural Network. - Tao He; Xiaoming Jin; Guiguang Ding; Lan Yi; Chenggang Yan 001 (ICME, 2019)

Personality Driven Multi-task Learning for Image Aesthetic Assessment. - Leida Li; Hancheng Zhu; Sicheng Zhao; Guiguang Ding; Hongyan Jiang; Allen Tan (ICME, 2019)

Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. - Xiaohan Ding; Guiguang Ding; Yuchen Guo; Jungong Han; Chenggang Yan 001 (ICML, 2019)

Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks. - Yuchen Guo; Guiguang Ding; Jungong Han; Hang Shao; Xin Lou; Qionghai Dai (IJCAI, 2019)

Landmark Selection for Zero-shot Learning. - Yuchen Guo; Guiguang Ding; Jungong Han; Chenggang Yan 001; Jiyong Zhang; Qionghai Dai (IJCAI, 2019)

Low Shot Box Correction for Weakly Supervised Object Detection. - Tianxiang Pan; Bin Wang 021; Guiguang Ding; Jungong Han; Jun-Hai Yong (IJCAI, 2019)

Incremental Few-Shot Learning for Pedestrian Attribute Recognition. - Liuyu Xiang; Xiaoming Jin; Guiguang Ding; Jungong Han; Leida Li (IJCAI, 2019)

Cross-Modal Image-Text Retrieval with Semantic Consistency. - Hui Chen 013; Guiguang Ding; Zijia Lin; Sicheng Zhao; Jungong Han (ACM Multimedia, 2019)

PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression. - Sicheng Zhao; Zizhou Jia; Hui Chen 013; Leida Li; Guiguang Ding; Kurt Keutzer (ACM Multimedia, 2019)

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. - Xiaohan Ding; Guiguang Ding; Xiangxin Zhou; Yuchen Guo; Jungong Han; Ji Liu 002 (NeurIPS, 2019)

Neural Image Caption Generation with Weighted Training and Reference. - Guiguang Ding; Minghai Chen; Sicheng Zhao; Hui Chen 013; Jungong Han; Qiang Liu 016 (Cogn. Comput., 2019)

Zero-shot multi-label learning via label factorisation. - Hang Shao; Yuchen Guo; Guiguang Ding; Jungong Han (IET Comput. Vis., 2019)

MEIAH: Mixing explicit and implicit formulation of attributes in binary representation for person re-identification. - Liufang Sang; Xin Zhao 020; Guiguang Ding (Multim. Tools Appl., 2019)

Optimized projection for hashing. - Chaoqun Chu; Dahan Gong; Kai Chen; Yuchen Guo; Jungong Han; Guiguang Ding (Pattern Recognit. Lett., 2019)

Joint Image-Text Hashing for Fast Large-Scale Cross-Media Retrieval Using Self-Supervised Deep Learning. - Gengshen Wu; Jungong Han; Zijia Lin; Guiguang Ding; Baochang Zhang 001; Qiang Ni (IEEE Trans. Ind. Electron., 2019)

Cyber-Physical Security Design in Multimedia Data Cache Resource Allocation for Industrial Networks. - Bin Jiang 003; Jiachen Yang; Guiguang Ding; Huihui Wang 001 (IEEE Trans. Ind. Informatics, 2019)

DECODE: Deep Confidence Network for Robust Image Classification. - Guiguang Ding; Yuchen Guo; Kai Chen; Chaoqun Chu; Jungong Han; Qionghai Dai (IEEE Trans. Image Process., 2019)

Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval. - Gengshen Wu; Jungong Han; Yuchen Guo; Li Liu 004; Guiguang Ding; Qiang Ni; Ling Shao 001 (IEEE Trans. Image Process., 2019)

Personalized Emotion Recognition by Personality-Aware High-Order Learning of Physiological Signals. - Sicheng Zhao; Amir Gholaminejad; Guiguang Ding; Yue Gao 002; Jungong Han; Kurt Keutzer (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data. - Yuwei He; Xiaoming Jin; Guiguang Ding; Yuchen Guo; Jungong Han; Jiyong Zhang; Sicheng Zhao (AAAI, 2020)

Shallow Feature Based Dense Attention Network for Crowd Counting. - Yunqi Miao; Zijia Lin; Guiguang Ding; Jungong Han (AAAI, 2020)

IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. - Hui Chen 013; Guiguang Ding; Xudong Liu; Zijia Lin; Ji Liu 002; Jungong Han (CVPR, 2020)

PANDA: A Gigapixel-Level Human-Centric Video Dataset. - Xueyang Wang; Xiya Zhang; Yinheng Zhu; Yuchen Guo; Xiaoyun Yuan; Liuyu Xiang; Zerun Wang; Guiguang Ding; David J. Brady; Qionghai Dai; Lu Fang 001 (CVPR, 2020)

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-Tailed Classification. - Liuyu Xiang; Guiguang Ding; Jungong Han (ECCV (5), 2020)

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification. - Liuyu Xiang; Guiguang Ding (CoRR, 2020)

Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization. - Xiaohan Ding; Tianxiang Hao; Ji Liu 002; Jungong Han; Yuchen Guo; Guiguang Ding (CoRR, 2020)

STS: Spatial-Temporal-Semantic Personalized Location Recommendation. - Wenchao Li 004; Xin Liu 027; Chenggang Yan 001; Guiguang Ding; Yaoqi Sun; Jiyong Zhang (ISPRS Int. J. Geo Inf., 2020)

Joint Optimization in Cached-Enabled Heterogeneous Network for Efficient Industrial IoT. - Jiachen Yang; Chaofan Ma; Bin Jiang 003; Guiguang Ding; Gan Zheng; Huihui Wang 001 (IEEE J. Sel. Areas Commun., 2020)

Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together. - Yuwei He; Guiguang Ding (Neural Process. Lett., 2020)

Correction to: Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together. - Yuwei He; Guiguang Ding (Neural Process. Lett., 2020)

Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse Learning. - Sicheng Zhao; Guiguang Ding; Yue Gao 002; Xin Zhao 020; Youbao Tang; Jungong Han; Hongxun Yao; Qingming Huang (IEEE Trans. Affect. Comput., 2020)

Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment. - Leida Li; Hancheng Zhu; Sicheng Zhao; Guiguang Ding; Weisi Lin (IEEE Trans. Image Process., 2020)

On Aggregation of Unsupervised Deep Binary Descriptor With Weak Bits. - Gengshen Wu; Zijia Lin; Guiguang Ding; Qiang Ni; Jungong Han (IEEE Trans. Image Process., 2020)

ACMNet: Adaptive Confidence Matching Network for Human Behavior Analysis via Cross-modal Retrieval. - Hui Chen 013; Guiguang Ding; Zijia Lin; Sicheng Zhao; Xiaopeng Gu; Wenyuan Xu 001; Jungong Han (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans. - Xin He; Shihao Wang; Xiaowen Chu 001; Shaohuai Shi; Jiangping Tang; Xin Liu 027; Chenggang Yan 001; Jiyong Zhang; Guiguang Ding (AAAI, 2021)

The 2020 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ming-Ching Chang; Yuwei Chen; Rahul Sridhar; Zhenyu Hu; Yunhe Xue; Zhenyu Wu 002; Pengcheng Pi; Jiayi Shen; Jianchao Tan; Xiangru Lian; Ji Liu 002; et al. (AICAS, 2021)

Increasing Oversampling Diversity for Long-Tailed Visual Recognition. - Liuyu Xiang; Guiguang Ding; Jungong Han (CICAI, 2021)

Diverse Branch Block: Building a Convolution as an Inception-Like Unit. - Xiaohan Ding; Xiangyu Zhang 005; Jungong Han; Guiguang Ding (CVPR, 2021)

RepVGG: Making VGG-Style ConvNets Great Again. - Xiaohan Ding; Xiangyu Zhang 005; Ningning Ma; Jungong Han; Guiguang Ding; Jian Sun 001 (CVPR, 2021)

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. - Xiaohan Ding; Tianxiang Hao; Jianchao Tan; Ji Liu 002; Jungong Han; Yuchen Guo; Guiguang Ding (ICCV, 2021)

Image Captioning with Memorized Knowledge. - Hui Chen 013; Guiguang Ding; Zijia Lin; Yuchen Guo; Caifeng Shan; Jungong Han (Cogn. Comput., 2021)

Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans. - Xin He; Shihao Wang; Xiaowen Chu 001; Shaohuai Shi; Jiangping Tang; Xin Liu 027; Chenggang Yan 001; Jiyong Zhang; Guiguang Ding (CoRR, 2021)

Computational Emotion Analysis From Images: Recent Advances and Future Directions. - Sicheng Zhao; Quanwei Huang; Youbao Tang; Xingxu Yao; Jufeng Yang; Guiguang Ding; Björn W. Schuller (CoRR, 2021)

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition. - Xiaohan Ding; Xiangyu Zhang 005; Jungong Han; Guiguang Ding (CoRR, 2021)

LODE: Deep Local Deblurring and A New Benchmark. - Zerun Wang; Liuyu Xiang; Fan Yang 083; Jinzhao Qian; Jie Hu 021; Haidong Huang; Jungong Han; Yuchen Guo; Guiguang Ding (CoRR, 2021)

MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. - Sicheng Zhao; Bo Li 080; Pengfei Xu 013; Xiangyu Yue 001; Guiguang Ding; Kurt Keutzer (Int. J. Comput. Vis., 2021)

Deep image compression with multi-stage representation. - Zixi Wang; Guiguang Ding; Jungong Han; Fan Li 003 (J. Vis. Commun. Image Represent., 2021)

Emotion Recognition From Multiple Modalities: Fundamentals and methodologies. - Sicheng Zhao; Guoli Jia; Jufeng Yang; Guiguang Ding; Kurt Keutzer (IEEE Signal Process. Mag., 2021)

Where to Prune: Using LSTM to Guide Data-Dependent Soft Pruning. - Guiguang Ding; Shuo Zhang; Zizhou Jia; Jing Zhong; Jungong Han (IEEE Trans. Image Process., 2021)

Learning Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes. - Yunqi Miao; Zijia Lin; Xiao Ma 013; Guiguang Ding; Jungong Han (IEEE Trans. Image Process., 2021)

Dynamic Selective Network for RGB-D Salient Object Detection. - Hongfa Wen; Chenggang Yan 001; Xiaofei Zhou; Runmin Cong; Yaoqi Sun; Bolun Zheng; Jiyong Zhang; Yongjun Bao; Guiguang Ding (IEEE Trans. Image Process., 2021)

SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification. - Tao He; Leqi Shen; Yuchen Guo; Guiguang Ding; Zhenhua Guo 005 (AAAI, 2022)

ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising. - Liuyu Xiang; Jundong Zhou; Jirui Liu; Zerun Wang; Haidong Huang; Jie Hu 021; Jungong Han; Yuchen Guo; Guiguang Ding (AAAI, 2022)

Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs. - Xiaohan Ding; Xiangyu Zhang 005; Jungong Han; Guiguang Ding (CVPR, 2022)

RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. - Xiaohan Ding; Honghao Chen; Xiangyu Zhang 005; Jungong Han; Guiguang Ding (CVPR, 2022)

TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification. - Kai Chen; Weihua Chen; Tao He; Rong Du; Fan Wang 019; Xiuyu Sun; Yuchen Guo; Guiguang Ding (ACM Multimedia, 2022)

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs. - Xiaohan Ding; Xiangyu Zhang 005; Yizhuang Zhou; Jungong Han; Guiguang Ding; Jian Sun 001 (CoRR, 2022)

A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets. - Hehan Teng; Tao He; Yuchen Guo; Zhenhua Guo 005; Guiguang Ding (CoRR, 2022)

A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets. - Hehan Teng; Tao He; Yuchen Guo; Guiguang Ding (CoRR, 2022)

Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection. - Fan Yang 083; Xinhao Xu; Hui Chen 013; Yuchen Guo; Jungong Han; Kai Ni; Guiguang Ding (CoRR, 2022)

Bidirectional difference locating and semantic consistency reasoning for change captioning. - Yaoqi Sun; Liang Li 003; Tingting Yao; Tongyv Lu; Bolun Zheng; Chenggang Yan 001; Hua Zhang; Yongjun Bao; Guiguang Ding; Gregory G. Slabaugh (Int. J. Intell. Syst., 2022)

Towards real-time object detection in GigaPixel-level video. - Kai Chen; Zerun Wang; Xueyang Wang; Dahan Gong; Longlong Yu; Yuchen Guo; Guiguang Ding (Neurocomputing, 2022)

Long-tailed visual recognition with deep models: A methodological survey and evaluation. - Yu Fu 006; Liuyu Xiang; Yumna Zahid; Guiguang Ding; Tao Mei 001; Qiang Shen 001; Jungong Han (Neurocomputing, 2022)

Affective Image Content Analysis: Two Decades Review and New Perspectives. - Sicheng Zhao; Xingxu Yao; Jufeng Yang; Guoli Jia; Guiguang Ding; Tat-Seng Chua; Björn W. Schuller; Kurt Keutzer (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. - Sicheng Zhao; Xuanbai Chen; Xiangyu Yue 001; Chuang Lin 003; Pengfei Xu 013; Ravi Krishna; Jufeng Yang; Guiguang Ding; Alberto L. Sangiovanni-Vincentelli; Kurt Keutzer (IEEE Trans. Cybern., 2022)

Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization. - Hancheng Zhu; Leida Li; Jinjian Wu; Sicheng Zhao; Guiguang Ding; Guangming Shi (IEEE Trans. Cybern., 2022)

Box-Level Active Detection. - Mengyao Lyu; Jundong Zhou; Hui Chen 013; Yijie Huang; Dongdong Yu; Yaqian Li; Yandong Guo; Yuchen Guo; Liuyu Xiang; Guiguang Ding (CVPR, 2023)

Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation. - Yizhe Xiong; Hui Chen 013; Zijia Lin; Sicheng Zhao; Guiguang Ding (ICCV, 2023)

Re-parameterizing Your Optimizers rather than Architectures. - Xiaohan Ding; Honghao Chen; Xiangyu Zhang 005; Kaiqi Huang; Jungong Han; Guiguang Ding (ICLR, 2023)

Consolidator: Mergable Adapter with Group Connections for Visual Adaptation. - Tianxiang Hao; Hui Chen 013; Yuchen Guo; Guiguang Ding (ICLR, 2023)

Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels. - Ao Wang; Hui Chen 013; Zijia Lin; Zixuan Ding; Pengzhang Liu; Yongjun Bao; Weipeng Yan; Guiguang Ding (ACM Multimedia, 2023)

Deep learning for video object segmentation: a review. - Mingqi Gao 003; Feng Zheng; James J. Q. Yu; Caifeng Shan; Guiguang Ding; Jungong Han (Artif. Intell. Rev., 2023)

X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification. - Leqi Shen; Tao He; Yuchen Guo; Guiguang Ding (CoRR, 2023)

Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation. - Tianxiang Hao; Hui Chen 013; Yuchen Guo; Guiguang Ding (CoRR, 2023)

RepViT: Revisiting Mobile CNN From ViT Perspective. - Ao Wang; Hui Chen 013; Zijia Lin; Hengjun Pu; Guiguang Ding (CoRR, 2023)

CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and Favorable Transferability For ViTs. - Ao Wang; Hui Chen 013; Zijia Lin; Sicheng Zhao; Jungong Han; Guiguang Ding (CoRR, 2023)

InfoEntropy Loss to Mitigate Bias of Learning Difficulties for Generative Language Models. - Zhenpeng Su; Xing Wu 002; Xue Bai; Zijia Lin; Hui Chen 013; Guiguang Ding; Wei Zhou 019; Songlin Hu 001 (CoRR, 2023)

RepViT-SAM: Towards Real-Time Segmenting Anything. - Ao Wang; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (CoRR, 2023)

Re-parameterized Low-rank Prompt: Generalize a Vision-Language Model within 0.5K Parameters. - Tianxiang Hao; Mengyao Lyu; Hui Chen 013; Sicheng Zhao; Jungong Han; Guiguang Ding (CoRR, 2023)

Margin-aware rectified augmentation for long-tailed recognition. - Liuyu Xiang; Jungong Han; Guiguang Ding (Pattern Recognit., 2023)

Toward Label-Efficient Emotion and Sentiment Analysis. - Sicheng Zhao; Xiaopeng Hong; Jufeng Yang; Yanyan Zhao; Guiguang Ding (Proc. IEEE, 2023)

GPro3D: Deriving 3D BBox from ground plane in monocular 3D object detection. - Fan Yang 083; Xinhao Xu; Hui Chen 013; Yuchen Guo; Yuwei He; Kai Ni; Guiguang Ding (Neurocomputing, 2023)

Debiased Novel Category Discovering and Localization. - Juexiao Feng; Yuhong Yang 008; Yanchun Xie; Yaqian Li; Yandong Guo; Yuchen Guo; Yuwei He; Liuyu Xiang; Guiguang Ding (AAAI, 2024)

Geometry-Guided Domain Generalization for Monocular 3D Object Detection. - Fan Yang 083; Hui Chen 013; Yuwei He; Sicheng Zhao; Chenghao Zhang; Kai Ni; Guiguang Ding (AAAI, 2024)

Open-world Domain Adaptation and Generalization. - Sicheng Zhao; Jianhua Tao 001; Guiguang Ding (ACM TUR-C, 2024)

JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System. - Xin Zhao 020; Jiaxin Li; Zhiwei Fang; Yuchen Guo; Jinyuan Zhao; Jie He; Wenlong Chen; Changping Peng; Guiguang Ding (AAMAS, 2024)

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications. - Mengyao Lyu; Yuhong Yang 008; Haiwen Hong; Hui Chen 013; Xuan Jin; Yuan He 011; Hui Xue 001; Jungong Han; Guiguang Ding (CVPR, 2024)

Rep ViT: Revisiting Mobile CNN From ViT Perspective. - Ao Wang; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (CVPR, 2024)

Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. - Hui-Yue Yang; Hui Chen 013; Lihao Liu; Zijia Lin; Kai Chen; Liejun Wang; Jungong Han; Guiguang Ding (ECAI, 2024)

Quantized Prompt for Efficient Generalization of Vision-Language Models. - Tianxiang Hao; Xiaohan Ding; Juexiao Feng; Yuhong Yang 008; Hui Chen 013; Guiguang Ding (ECCV (19), 2024)

Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence. - Mengyao Lyu; Tianxiang Hao; Xinhao Xu; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (ECCV (1), 2024)

VCP-CLIP: A Visual Context Prompting Model for Zero-Shot Anomaly Segmentation. - Zhen Qu; Xian Tao; Mukesh Prasad; Fei Shen 002; Zhengtao Zhang; Xinyi Gong; Guiguang Ding (ECCV (69), 2024)

PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation. - Yizhe Xiong; Hui Chen 013; Tianxiang Hao; Zijia Lin; Jungong Han; Yuesong Zhang; Guoxin Wang; Yongjun Bao; Guiguang Ding (ECCV (9), 2024)

Balanced Active Sampling for Person Re-identification. - Tao He; Leqi Shen; Guiguang Ding; Zhiheng Zhou 001; Tianshi Xu; Xiaofeng Jin; Yuheng Huang 005 (ICME, 2024)

Camera Bias Regularization for Person Re-identification. - Tao He; Leqi Shen; Guiguang Ding; Zhiheng Zhou 001; Tianshi Xu; Xiaofeng Jin; Yuheng Huang 005 (ICME, 2024)

X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification. - Leqi Shen; Tao He; Sicheng Zhao; Zhelun Shen; Yuchen Guo; Tianshi Xu; Guiguang Ding (ICME, 2024)

A Simple Confidence-Supervised Model for High-Resolution Defect Recognition. - Hui-Yue Yang; Hui Chen 013; Fan Zhang; Xiang Tian; Luning Zhu; Guiguang Ding (ICRCA, 2024)

TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks. - Xinhao Xu; Hui Chen 013; Zijia Lin; Jungong Han; Lixing Gong; Guoxin Wang; Yongjun Bao; Guiguang Ding (IJCAI, 2024)

More is Better: Deep Domain Adaptation with Multiple Sources. - Sicheng Zhao; Hui Chen 013; Hu Huang 009; Pengfei Xu 013; Guiguang Ding (IJCAI, 2024)

Multi-Label Learning with Block Diagonal Labels. - Leqi Shen; Sicheng Zhao; Yifeng Zhang; Hui Chen 013; Jundong Zhou; Pengzhang Liu; Yongjun Bao; Guiguang Ding (ACM Multimedia, 2024)

MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models. - Zhenpeng Su; Zijia Lin; Bai Xue; Hui Chen 013; Guiguang Ding; Wei Zhou 019; Songlin Hu 001 (NAACL-HLT (Findings), 2024)

YOLOv10: Real-Time End-to-End Object Detection. - Ao Wang; Hui Chen 013; Lihao Liu; Kai Chen; Zijia Lin; Jungong Han; Guiguang Ding (NeurIPS, 2024)

Revisiting motion information for RGB-Event tracking with MOT philosophy. - Tianlu Zhang; Kurt Debattista; Qiang Zhang 020; Guiguang Ding; Jungong Han (NeurIPS, 2024)

Temporal Scaling Law for Large Language Models. - Yizhe Xiong; Xiansheng Chen; Xin Ye; Hui Chen 013; Zijia Lin; Haoran Lian; Jianwei Niu 002; Guiguang Ding (CoRR, 2024)

Scaffold-BPE: Enhancing Byte Pair Encoding with Simple and Effective Scaffold Token Removal. - Haoran Lian; Yizhe Xiong; Jianwei Niu 002; Shasha Mo; Zhenpeng Su; Zijia Lin; Peng Liu; Hui Chen 013; Guiguang Ding (CoRR, 2024)

MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts. - Zhenpeng Su; Zijia Lin; Xue Bai; Xing Wu 002; Yizhe Xiong; Haoran Lian; Guangyuan Ma; Hui Chen 013; Guiguang Ding; Wei Zhou 019; Songlin Hu 001 (CoRR, 2024)

LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image. - Fan Yang 083; Sicheng Zhao; Yanhao Zhang 001; Haoxiang Chen 007; Hui Chen 013; Wenbo Tang; Haonan Lu; Pengfei Xu 003; Zhenyu Yang; Jungong Han; Guiguang Ding (CoRR, 2024)

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval. - Leqi Shen; Tianxiang Hao; Sicheng Zhao; Yifeng Zhang; Pengzhang Liu; Yongjun Bao; Guiguang Ding (CoRR, 2024)

PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation. - Ao Wang; Hui Chen 013; Jianchao Tan; Kefeng Zhang; Xunliang Cai; Zijia Lin; Jungong Han; Guiguang Ding (CoRR, 2024)

[CLS] Token Tells Everything Needed for Training-free Efficient MLLMs. - Ao Wang; Fengyuan Sun; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (CoRR, 2024)

YOLO-UniOW: Efficient Universal Open-World Object Detection. - Lihao Liu; Juexiao Feng; Hui Chen 013; Ao Wang; Lin Song 002; Jungong Han; Guiguang Ding (CoRR, 2024)

Confidence-Guided Centroids for Unsupervised Person Re-Identification. - Yunqi Miao; Jiankang Deng; Guiguang Ding; Jungong Han (IEEE Trans. Inf. Forensics Secur., 2024)

Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN. - Tianxiang Hao; Xiaohan Ding; Jungong Han; Yuchen Guo; Guiguang Ding (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-source-free Domain Adaptive Object Detection. - Sicheng Zhao; Huizai Yao; Chuang Lin 003; Yue Gao 002; Guiguang Ding (Int. J. Comput. Vis., 2024)

Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal. - Haoran Lian; Yizhe Xiong; Jianwei Niu 002; Shasha Mo; Zhenpeng Su; Zijia Lin; Hui Chen 013; Jungong Han; Guiguang Ding (AAAI, 2025)

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning. - Hui-Yue Yang; Hui Chen 013; Ao Wang; Kai Chen; Zijia Lin; Yongliang Tang; Pengcheng Gao; Yuming Quan; Jungong Han; Guiguang Ding (AAAI, 2025)

Extending LLM Context Window with Adaptive Grouped Positional Encoding: A Training-Free Method. - Xinhao Xu; Jiaxin Li; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (ACL (1), 2025)

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models. - Haoran Lian; Junmin Chen; Wei Huang; Yizhe Xiong; Wenping Hu; Guiguang Ding; Hui Chen 013; Jianwei Niu 002; Zijia Lin; Fuzheng Zhang; Di Zhang (COLING, 2025)

Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection. - Zhen Qu; Xian Tao; Xinyi Gong; Shichen Qu; Qiyu Chen 002; Zhengtao Zhang; Xingang Wang; Guiguang Ding (CVPR, 2025)

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval. - Leqi Shen; Guoqiang Gong; Tianxiang Hao; Tao He; Yifeng Zhang; Pengzhang Liu; Sicheng Zhao; Jungong Han; Guiguang Ding (CVPR, 2025)

LSNet: See Large, Focus Small. - Ao Wang; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (CVPR, 2025)

HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator. - Fan Yang 083; Ru Zhen; Jianing Wang; Yanhao Zhang 001; Haoxiang Chen 007; Haonan Lu; Sicheng Zhao; Guiguang Ding (CVPR, 2025)

LBPE: Long-token-first Tokenization to Improve Large Language Models. - Haoran Lian; Yizhe Xiong; Zijia Lin; Jianwei Niu 002; Shasha Mo; Hui Chen 013; Peng Liu; Guiguang Ding (ICASSP, 2025)

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval. - Leqi Shen; Tianxiang Hao; Tao He; Sicheng Zhao; Yifeng Zhang; Pengzhang Liu; Yongjun Bao; Guiguang Ding (ICLR, 2025)

CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts. - Zhenpeng Su; Xing Wu 002; Zijia Lin; Yizhe Xiong; Minxuan Lv; Guangyuan Ma; Hui Chen 013; Songlin Hu 001; Guiguang Ding (NAACL (Long Papers), 2025)

Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding. - Xinhao Xu; Hui Chen 013; Mengyao Lyu; Sicheng Zhao; Yizhe Xiong; Zijia Lin; Jungong Han; Guiguang Ding (NAACL (Long Papers), 2025)

Domain knowledge boosted adaptation: Leveraging vision-language models for multi-source domain adaptation. - Yuwei He; Juexiao Feng; Guiguang Ding; Yuchen Guo; Tao He (Neurocomputing, 2025)

Multi-source multi-modal domain adaptation. - Sicheng Zhao; Jing Jiang; Wenbo Tang; Jiankun Zhu; Hui Chen 013; Pengfei Xu 001; Björn W. Schuller; Jianhua Tao 001; Hongxun Yao; Guiguang Ding (Inf. Fusion, 2025)

LScAD: A Large-Small Model Collaboration Framework for Unsupervised Industrial Anomaly Detection. - Shichen Qu; Xian Tao; Xinyi Gong; Zhen Qu; Mukesh Prasad; Fei Shen 002; Zhengtao Zhang; Guiguang Ding (IEEE Trans. Instrum. Meas., 2025)

UniAttn: Reducing Inference Costs via Softmax Unification for Post-Training LLMs. - Yizhe Xiong; Wei Huang; Xin Ye; Hui Chen 013; Zijia Lin; Haoran Lian; Zhenpeng Su; Jungong Han; Guiguang Ding (CoRR, 2025)

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs. - Minxuan Lv; Zhenpeng Su; Leiyu Pan; Yizhe Xiong; Zijia Lin; Hui Chen 013; Wei Zhou 019; Jungong Han; Guiguang Ding; Cheng Luo; Di Zhang; Kun Gai; et al. (CoRR, 2025)

Finedeep: Mitigating Sparse Activation in Dense LLMs via Multi-Layer Fine-Grained Experts. - Leiyu Pan; Zhenpeng Su; Minxuan Lv; Yizhe Xiong; Xiangwen Zhang; Zijia Lin; Hui Chen 013; Jungong Han; Guiguang Ding; Cheng Luo; Di Zhang; Kun Gai; et al. (CoRR, 2025)

YOLOE: Real-Time Seeing Anything. - Ao Wang; Lihao Liu; Hui Chen 013; Zijia Lin; Jungong Han; Guiguang Ding (CoRR, 2025)

FastVID: Dynamic Density Pruning for Fast Video Large Language Models. - Leqi Shen; Guoqiang Gong; Tao He; Yifeng Zhang; Pengzhang Liu; Sicheng Zhao; Guiguang Ding (CoRR, 2025)

LLaVA-MLB: Mitigating and Leveraging Attention Bias for Training-Free Video LLMs. - Leqi Shen; Tao He; Guoqiang Gong; Fan Yang 083; Yifeng Zhang; Pengzhang Liu; Sicheng Zhao; Guiguang Ding (CoRR, 2025)

Cream of the Crop: Harvesting Rich, Scalable and Transferable Multi-Modal Data for Instruction Fine-Tuning. - Mengyao Lyu; Yan Li; Huasong Zhong; Wenhao Yang; Hui Chen 013; Jungong Han; Guiguang Ding; Zhenheng Yang (CoRR, 2025)

Modality Reliability Guided Multimodal Recommendation. - Xue Dong; Xuemeng Song; Na Zheng; Sicheng Zhao; Guiguang Ding (CoRR, 2025)

Correction: Multi-source-free Domain Adaptive Object Detection. - Sicheng Zhao; Huizai Yao; Chuang Lin 003; Yue Gao 002; Guiguang Ding (Int. J. Comput. Vis., 2025)

Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation. - Yifan Feng 001; Jiangang Huang; Shaoyi Du; Shihui Ying; Jun-Hai Yong; Yipeng Li; Guiguang Ding; Rongrong Ji; Yue Gao 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Fast Quiet-STaR: Thinking Without Thought Tokens. - Wei Huang; Yizhe Xiong; Xin Ye; Zhijie Deng; Hui Chen 013; Zijia Lin; Guiguang Ding (CoRR, 2025)

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models. - Fengyuan Sun; Leqi Shen; Hui Chen 013; Sicheng Zhao; Jungong Han; Guiguang Ding (CoRR, 2025)

S4C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models. - Tao He; Guang Huang; Yu Yang; Tianshi Xu; Sicheng Zhao; Guiguang Ding; Pengyang Wang; Feng Tian (CoRR, 2025)

YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception. - Mengqi Lei; Siqi Li 001; Yihong Wu; Han Hu 003; You Zhou; Xinhu Zheng; Guiguang Ding; Shaoyi Du; Zongze Wu 001; Yue Gao 002 (CoRR, 2025)

Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations. - Yiwen Liang; Hui Chen 013; Yizhe Xiong; Zihan Zhou; Mengyao Lyu; Zijia Lin; Shuaicheng Niu; Sicheng Zhao; Jungong Han; Guiguang Ding (CoRR, 2025)

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation. - Yizhe Xiong; Zihan Zhou; Yiwen Liang; Hui Chen 013; Zijia Lin; Tianxiang Hao; Fan Zhang; Jungong Han; Guiguang Ding (CoRR, 2025)

Safeguarding the target: Enhancing multi-source domain adaptation through domain reorganization. - Yuwei He; Guiguang Ding; Yuchen Guo; Fan Yang 083; Tao He (Pattern Recognit., 2026)