百晓学者学者目录

丁贵广

教授,清华大学

精选作品

期刊论文

2026

具身智能数据采集与处理综述

丁贵广,朱晨,王潇婉,陈辉

《数据采集与处理》

2026

DifferAD-R1: A Difference-Guided Industrial Anomaly Localization With Multimodal Large Language Models

Ding-Rong Wang, Xian Tao, Zhen Qu, Heng-Liang Luo, Xin-Yi Gong, Fei Shen, Zhengtao Zhang, Guiguang Ding

IEEE transactions on circuits and systems for video technology (Print)

2026

GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection

Xiang Li, Wen-Xi Li, Yuetong Wang, Chenyang Lyu, Hao-Zhe Lin, Guiguang Ding, Yuchen Guo

AAAI Conference on Artificial Intelligence

2026

RALoRA: Rank-adaptive LoRA for incomplete multi-view classification with vision-language foundation models

Junjie Ke, Fei Ma, Yemin Lin, Xiao Wang, Weiye Yang, Kuien Liu, Zitong Yu, Sicheng Zhao, Guiguang Ding, Qi Tian

Information Fusion

2026

DINO-PCB: Two-stage vision foundation model pretraining and distillation for real-time circuit-board defect detection

Junjie Ke, Li He, Jing Zhang, Haiming Wang, Yuqi Ji, Hui Chen, Li J, Sicheng Zhao, Guiguang Ding, Xinbo Gao

Pattern Recognition

2026

CMPF: Harmonizing Cross-Model Prior Fusion for Open-Vocabulary Segmentation

Sicheng Zhao, Xi Chen, Hongxun Yao, Haosen Yang, Yanhao Zhang, Sheng Jin, Xiatian Zhu, Haonan Lu, Kui Jiang, Guiguang Ding

International Journal of Computer Vision

2026

Tracking and Segmenting Anything in Any Modality

Tianlu Zhang, Qiang Zhang, Guiguang Ding, Jungong Han

Proceedings of the AAAI Conference on Artificial Intelligence

2026

A Survey of Datasets Collection and Processing for Embodied Intelligence

Guiguang Ding, Zhu Chen, Xiaowan Wang, CHEN Hui

DOAJ (DOAJ: Directory of Open Access Journals)

2026

LLMI3D: MLLM-Based 3D Perception From a Single 2D Image

Fan Yang, Sicheng Zhao, Yanhao Zhang, Hui Chen, H. Lu, Jungong Han, Guiguang Ding

IEEE Transactions on Multimedia

2026

$$\text {AD}^2$$: Anomaly Detection During Training an Distillation-Based Anomaly Detection Model

Kai Chen, Xiaowang Wang, Huiyue Yang, Hui Chen, Yuwang Wang, Sicheng Zhao, Guiguang Ding

Lecture notes in computer science

2026

EmotionReasoner: Emotion-Explanation-Oriented Reinforcement Learning for Explainable Multimodal Emotion Recognition

Sicheng Zhao, Hongrui Zhang, Daiqing Wu, Duo Huang, Weicheng Hong, Jianpeng Sun, Yifeng Chen, Yi Zhou, Guiguang Ding

IEEE Transactions on Affective Computing

2026

Towards Purified Multi-label Test-Time Adaptation of Vision-Language Models

Yiwen Liang, Hui Chen, Yizhe Xiong, Mengyao Lyu, Yuhan Cao, Zijia Lin, Shuaicheng Niu, Sicheng Zhao, Jungong Han, Guiguang Ding

Lecture notes in computer science

2026

TCFMAD: Tri-Consistency Foundation Model-Based Few-Shot Manufacturing Anomaly Detection

Junjie Ke, Sicheng Zhao, Xinhao Xu, Kaifan Zhang, Yizhe Xiong, Guodao Zhang, Fei Ma, Lihuo He, Hui Chen, Guiguang Ding, Xinbo Gao

IEEE Transactions on Automation Science and Engineering

2025

“多模态信息感知与决策”专栏序言

丁贵广

《数据采集与处理》

2025

YOLOA: Real-Time Affordance Detection via LLM Adapter

Yuqi Ji, Jun-Jie Ke, Lihuo He, Jun Liu, Kai-Fan Zhang, Yu-Kun Lai, Guiguang Ding, Xin-Bo Gao

arXiv.org

2025

YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception

Mengqi Lei, Si-Qi Li, Yihong Wu, Han Hu, You Zhou, Xinhu Zheng, Guiguang Ding, Shao-Yi Du, Zong-Ze Wu, Yue Gao

arXiv.org

2025

DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup

Zhen Qu, Xian Tao, Xin-Yi Gong, Shichen Qu, Xiaopei Zhang, Xingang Wang, Fei Shen, Zhengtao Zhang, Mukesh Prasad, Guiguang Ding

IEEE International Conference on Computer Vision

2025

Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection

Zhen Qu, Xian Tao, Xin-Yi Gong, Shichen Qu, Qiyu Chen, Zhengtao Zhang, Xingang Wang, Guiguang Ding

Computer Vision and Pattern Recognition

2025

Toward Realistic Hierarchical Object Detection: Problem, Benchmark, and Solution

Juexiao Feng, Yu-Hong Yang, Mengyao Lyu, Tianxiang Hao, Yi-Jie Huang, Yanchun Xie, Yaqian Li, Jun-Gong Han, Liuyu Xiang, Guiguang Ding

IEEE transactions on circuits and systems for video technology (Print)

2025

LScAD: A Large–Small Model Collaboration Framework for Unsupervised Industrial Anomaly Detection

Shichen Qu, Xian Tao, Xin-Yi Gong, Zhen Qu, Mukesh Prasad, Fei Shen, Zheng-Tao Zhang, Guiguang Ding

IEEE Transactions on Instrumentation and Measurement

2025

Fixing Background Misclassification in Few-Shot Object Detection via Product of Experts

Sheng-Ong Ding, Yi Liu, C. Shang, Gui-Guang Ding, Qiang Shen, Jun-Gong Han

IEEE Transactions on Pattern Analysis and Machine Intelligence

2025

YOLOE: Real-Time Seeing Anything

Ao Wang, Lihao Liu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

IEEE/CVF International Conference on Computer Vision (ICCV)

2025

Source-Free Object Detection With Detection Transformer

Huizai Yao, Sicheng Zhao, Shuo Lu, Hui Chen, Yangyang Li, Guoping Liu, Tengfei Xing, Chenggang Clarence Yan, Jianhua Tao, Guiguang Ding

IEEE Transactions on Image Processing

2025

RepAttn3D: Re-parameterizing 3D attention with spatiotemporal augmentation for video understanding

Xiusheng Lu, Lechao Cheng, Sicheng Zhao, Ying Zheng, Yongheng Wang, Guiguang Ding, Mingli Song

Neural Networks

2025

Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations

Yiwen Liang, Hui Chen, Yizhe Xiong, Zihan Zhou, Mengyao Lyu, Zijia Lin, Shuaicheng Niu, Sicheng Zhao, Jungong Han, Guiguang Ding

ACM International Conference on Multimedia (ACM MM)

2025

Temporal Modeling With Frozen Vision–Language Foundation Models for Parameter-Efficient Text–Video Retrieval

Leqi Shen, Tianxiang Hao, Tao He, Yifeng Zhang, Pengzhang Liu, Sicheng Zhao, Jungong Han, Guiguang Ding

IEEE Transactions on Neural Networks and Learning Systems

2025

Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization

Tianxiang Hao, Hui Chen, Guiguang Ding

International Joint Conference on Artificial Intelligence

2025

LSNet: See Large, Focus Small

Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

2025

Object Detection Based on Multi-View Images to BEV Feature

Jian Wang, Guiguang Ding

International Conference on Electronics, Circuits and Information Engineering (ECIE)

2025

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning

Hui-Yue Yang, Hui Chen, Ao Wang, Kai Chen, Zijia Lin, Yongliang Tang, Pengcheng Gao, Yuming Quan, Jungong Han, Guiguang Ding

Proceedings of the AAAI Conference on Artificial Intelligence

2025

Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal

Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Hui Chen, Jungong Han, Guiguang Ding

Proceedings of the AAAI Conference on Artificial Intelligence

2025

LBPE: Long-token-first Tokenization to Improve Large Language Models

Haoran Lian, Yizhe Xiong, Zijia Lin, Jianwei Niu, Shasha Mo, Hui Chen, Peng Liu, Guiguang Ding

IEEE International Conference on Acoustics Speech and Signal Processing

2025

SDRS: Sentiment-Aware Disentangled Representation Shifting for Multimodal Sentiment Analysis

Sicheng Zhao, Zhenhua Yang, Henglin Shi, Xiaocheng Feng, Lingpengkun Meng, Bing Qin, Chenggang Clarence Yan, Jianhua Tao, Guiguang Ding

IEEE Transactions on Affective Computing

2025

Spatio-Temporal Attention for Text-Video Retrieval

Leqi Shen, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding

ACM Transactions on Multimedia Computing Communications and Applications

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

neural information processing systems

2025

Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding

Xinhao Xu, Hui Chen, Mengyao Lyu, Sicheng Zhao, Yizhe Xiong, Zijia Lin, Jungong Han, Guiguang Ding

Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)

2025

Extending LLM Context Window with Adaptive Grouped Positional Encoding: A Training-Free Method

Xinhao Xu, Jiaxin Li, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

Annual Meeting of the Association for Computational Linguistics (ACL)

2025

Temporal Scaling Law for Large Language Models

Yizhe Xiong, Xiansheng Chen, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Zhenpeng Su, Wei Huang, Jianwei Niu, Jungong Han, Guiguang Ding

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2025

DAR-Prompt: Dynamic Regulation in Prompt Tuning for Multi-Label Zero-Shot Learning

Yiwen Liang, Hui Chen, Zijia Lin, Pengzhang Liu, Jiaxing Wang, Guoxin Wang, Lin Li, Sicheng Zhao, Jungong Han, Guiguang Ding

IEEE Transactions on Image Processing

2025

CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts

Zhenpeng Su, Xing W, Zijia Lin, Yizhe Xiong, Minxuan Lv, Guangyuan Ma, Hui Chen, Songlin Hu, Guiguang Ding

Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)

2025

Fast Quiet-STaR: Thinking Without Thought Tokens

Wei Huang, Yizhe Xiong, Xin Ye, Zhijie Deng, Hui Chen, Zijia Lin, Guiguang Ding

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, Wei Zhou, Jungong Han, Guiguang Ding, Wenwu Ou, Di Zhang, Kun Gai, Songlin Hu

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2024

视觉深度学习模型压缩加速综述

丁贵广,陈辉,王澳,杨帆,熊翊哲,梁伊雯

《智能系统学报》

2024

Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation

Yi-Fan Feng, Jiangnan Huang, Shao-Yi Du, Shi-Hui Ying, Jun-Hai Yong, Yipeng Li, Guiguang Ding, Rong-Rong Ji, Yue Gao

IEEE Transactions on Pattern Analysis and Machine Intelligence

2024

VCP-CLIP: A Visual Context Prompting Model for Zero-Shot Anomaly Segmentation

Zhen Qu, Xian Tao, Mukesh Prasad, Fei Shen, Zhengtao Zhang, Xinyi Gong, Guiguang Ding

Lecture notes in computer science

2024

Correction: Multi-source-free Domain Adaptive Object Detection

Si-Cheng Zhao, Huizai Yao, Chuang Lin, Yue Gao, Guiguang Ding

International Journal of Computer Vision

2024

Disorder-Free Data Are All You Need — Inverse Supervised Learning for Broad-Spectrum Head Disorder Detection

Yuwei He, Yuchen Guo, J. Lyu, Liangdi Ma, H. Tan, Wei Zhang, Guiguang Ding, Heng-Rui Liang, Jianxing He, X. Lou, Qionghai Dai, Feng Xu

NEJM AI

2024

Domain knowledge boosted adaptation: Leveraging vision-language models for multi-source domain adaptation

Yuwei He, Juexiao Feng, Guiguang Ding, Yuchen Guo, Tao He

Neurocomputing

2024

Geometry-Guided Domain Generalization for Monocular 3D Object Detection

Fan Yang, Hui Chen, Yuwei He, Sicheng Zhao, Chenghao Zhang, Kai Ni, Guiguang Ding

AAAI Conference on Artificial Intelligence

2024

Debiased Novel Category Discovering and Localization

Juexiao Feng, Yu-Hong Yang, Yanchun Xie, Yaqian Li, Yan-Dong Guo, Yuchen Guo, Yuwei He, Liuyu Xiang, Guiguang Ding

AAAI Conference on Artificial Intelligence

2024

HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator

Fan Yang, Ru Zhen, Jianing Wang, Yan-Hao Zhang, Hao-Xiang Chen, Hao-Nan Lu, Sicheng Zhao, Guiguang Ding

Computer Vision and Pattern Recognition

2024

Revisiting motion information for RGB-Event tracking with MOT philosophy

Tianlu Zhang, K. Debattista, Qiang Zhang, Gui-Guang Ding, Jungong Han

Neural Information Processing Systems

2024

Multi-source multi-modal domain adaptation

Sicheng Zhao, Jing Jiang, Wenbo Tang, Jiankun Zhu, Hui Chen, Pengfei Xu, Björn Wolfgang Schuller, Jianhua Tao, Hongxun Yao, Guiguang Ding

Information Fusion

2024

Quantized Prompt for Efficient Generalization of Vision-Language Models

Tianxiang Hao, Xiaohan Ding, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding

Lecture notes in computer science

2024

Multi-Label Learning with Block Diagonal Labels

Leqi Shen, Sicheng Zhao, Yifeng Zhang, Hui Chen, Jundong Zhou, Pengzhang Liu, Yongjun Bao, Guiguang Ding

ACM International Conference on Multimedia (ACM MM)

2024

PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation

Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding

Lecture notes in computer science

2024

Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence

Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

Lecture notes in computer science

2024

More is Better: Deep Domain Adaptation with Multiple Sources

Sicheng Zhao, Hui Chen, Hu Huang, Pengfei Xu, Guiguang Ding

2024

TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks

Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding

2024

Balanced Active Sampling for Person Re-identification

Tao He, Leqi Shen, Guiguang Ding, Zhiheng Zhou, Tianshi Xu, Xiaofeng Jin, Yuheng Huang

IEEE International Conference on Multimedia and Expo (ICME)

2024

Camera Bias Regularization for Person Re-identification

Tao He, Leqi Shen, Guiguang Ding, Zhiheng Zhou, Tianshi Xu, Xiaofeng Jin, Yuheng Huang

IEEE International Conference on Multimedia and Expo (ICME)

2024

Multi-source-free Domain Adaptive Object Detection

Sicheng Zhao, Huizai Yao, Chuang Lin, Yue Gao, Guiguang Ding

International Journal of Computer Vision

2024

Open-world Domain Adaptation and Generalization

Sicheng Zhao, Jianhua Tao, Guiguang Ding

2024

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications

Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

2024

A Simple Confidence-Supervised Model for High-Resolution Defect Recognition

Hui-Yue Yang, Hui Chen, Fan Zhang, Xiang Tian, Luning Zhu, Guiguang Ding

International Conference on Robotics, Control and Automation (ICRCA)

2024

MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models

Zhenpeng Su, Zijia Lin, Baixue Baixue, Hui Chen, Songlin Hu, Wei Zhou, Guiguang Ding, Xing W

Findings of the Association for Computational Linguistics: NAACL

2023

X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification

Leqi Shen, Tao He, Si-Cheng Zhao, Zhe-Lun Shen, Yuchen Guo, Tian-Shi Xu, Gui-Guang Ding

IEEE International Conference on Multimedia and Expo

2023

GPro3D: Deriving 3D BBox from ground plane in monocular 3D object detection

Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Yuwei He, Kai Ni, Guiguang Ding

Neurocomputing

2023

Rep ViT: Revisiting Mobile CNN From ViT Perspective

Ao Wang, Hui Chen, Zijia Lin, Jun-Gong Han, Gui-Guang Ding

Computer Vision and Pattern Recognition

2023

Box-Level Active Detection – Supplementary Material

Mengyao Lyu, Jun-Dong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yan-Dong Guo, Yu-Cheng Guo, Liuyu Xiang, Gui-Guang Ding

2023

CAIT: Triple-Win Compression Toward High Accuracy, Fast Inference, and Favorable Transferability for ViTs

Ao Wang, Hui Chen, Zijia Lin, Sicheng Zhao, J. Han, Gui-Guang Ding

IEEE Transactions on Pattern Analysis and Machine Intelligence

2023

Margin-aware rectified augmentation for long-tailed recognition

Liuyu Xiang, J. Han, Gui-Guang Ding

Pattern Recognition

2023

Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation

Tian-Xiang Hao, Hui Chen, Yuchen Guo, Gui-Guang Ding

International Conference on Learning Representations

2023

Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation

Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Gui-Guang Ding

IEEE International Conference on Computer Vision

2023

Box-Level Active Detection

Mengyao Lyu, Jun-Dong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Gui-Guang Ding

Computer Vision and Pattern Recognition

2023

Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels

Ao Wang, Hui Chen, Zijia Lin, Zixuan Ding, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Guiguang Ding

ACM International Conference on Multimedia (ACM MM)

2023

Toward Label-Efficient Emotion and Sentiment Analysis

Sicheng Zhao, Xiaopeng Hong, Jufeng Yang, Yanyan Zhao, Guiguang Ding

Proceedings of the IEEE

2022

Deep learning for video object segmentation: a review

Mingqi Gao, Feng Zheng, J. J. Yu, C. Shan, Gui-Guang Ding, J. Han

Artificial Intelligence Review

2022

SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification

Tao He, Leqi Shen, Yuchen Guo, Gui-Guang Ding, Zhen-Hua Guo

AAAI Conference on Artificial Intelligence

2022

Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study.

Yu-Chen Guo, Yuwei He, J. Lyu, Zhan-Ping Zhou, Dong Yang, Liangdi Ma, H. Tan, Changjian Chen, Wei Zhang, Jian-Xing Hu, Dongshan Han, Gui-Guang Ding, Shixia Liu, Hui Qiao, Feng-Guo Xu, Xin Lou, Qionghai Dai

The Lancet Digital Health

2022

Confidence-Guided Centroids for Unsupervised Person Re-Identification

Yunqi Miao, Jian-Kang Deng, Gui-Guang Ding, Jungong Han

IEEE Transactions on Information Forensics and Security

2022

Long-tailed visual recognition with deep models: A methodological survey and evaluation

Yu Fu, Liuyu Xiang, Yumna Zahid, Gui-Guang Ding, T. Mei, Qiang Shen, J. Han

Neurocomputing

2022

ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising

Liuyu Xiang, Jun-Dong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, J. Han, Yuchen Guo, Gui-Guang Ding

AAAI Conference on Artificial Intelligence

2022

Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs

Xiaohan Ding, X. Zhang, Yi-Zhuang Zhou, Jungong Han, Gui-Guang Ding, Jian Sun

Computer Vision and Pattern Recognition

2022

A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets

Hehan Teng, Tao He, Yuchen Guo, Gui-Guang Ding

arXiv.org

2022

Re-parameterizing Your Optimizers rather than Architectures

Xiaohan Ding, Honghao Chen, X. Zhang, Kaiqiang Huang, Jungong Han, Gui-Guang Ding

International Conference on Learning Representations

2022

Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection

Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Jungong Han, K. Ni, Gui-Guang Ding

arXiv.org

2022

A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets

Hehan Teng, Tao He, Yuchen Guo, Zhen-Hua Guo, Gui-Guang Ding

arXiv.org

2022

Bidirectional difference locating and semantic consistency reasoning for change captioning

Yaoqi Sun, Liang Li, Tingting Yao, Tongyv Lu, Bolun Zheng, Chenggang Clarence Yan, Zhang Hua, Yongjun Bao, Guiguang Ding, Greg Slabaugh

International Journal of Intelligent Systems

2021

面向车规级芯片的对象检测模型优化方法

宫大汉,于龙龙,陈辉,杨帆,骆沛,丁贵广

《智能系统学报》

2021

一致性协议匹配的跨模态图像文本检索方法

宫大汉,陈辉,陈仕江,包勇军,丁贵广

《智能系统学报》

2021

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

Xiaohan Ding, X. Zhang, Jungong Han, Gui-Guang Ding

Computer Vision and Pattern Recognition

2021

RepVGG: Making VGG-style ConvNets Great Again

Xiaohan Ding, X. Zhang, Ningning Ma, Jungong Han, Gui-Guang Ding, Jian Sun

Computer Vision and Pattern Recognition

2021

Towards real-time object detection in GigaPixel-level video

Kai Chen, Zerun Wang, Xueyang Wang, Dahan Gong, Longlong Yu, Yuchen Guo, Gui-Guang Ding

Neurocomputing

2021

Computational Emotion Analysis From Images: Recent Advances and Future Directions

Si-Cheng Zhao, Quanwei Huang, You-Bao Tang, Xingxu Yao, Ju-Feng Yang, Gui-Guang Ding, Björn Schuller

Human Perception of Visual Information

2021

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

Tian-Xiang Hao, Xiaohan Ding, Jungong Han, Yuchen Guo, Gui-Guang Ding

IEEE Transactions on Neural Networks and Learning Systems

2021

RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality

Xiaohan Ding, Honghao Chen, X. Zhang, Jungong Han, Gui-Guang Ding

Computer Vision and Pattern Recognition

2021

Deep image compression with multi-stage representation

Zixi Wang, Gui-Guang Ding, Jungong Han, Fan Li

Journal of Visual Communication and Image Representation

2021

Increasing Oversampling Diversity for Long-Tailed Visual Recognition

Liuyu Xiang, Gui-Guang Ding, J. Han

CAAI International Conference on Artificial Intelligence

2021

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

Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, Gui-Guang Ding

ACM Multimedia

2021

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

Xiaohan Ding, Chun-Long Xia, X. Zhang, Xiao-Jie Chu, Jungong Han, Gui-Guang Ding

arXiv.org

2021

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

Yunqi Miao, Zijia Lin, Xiao Ma, Gui-Guang Ding, Jungong Han

IEEE Transactions on Image Processing

2021

Affective Image Content Analysis: Two Decades Review and New Perspectives

Si-Cheng Zhao, Xingxu Yao, Ju-Feng Yang, G. Jia, Gui-Guang Ding, Tat-Seng Chua, Björn Schuller, K. Keutzer

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021

LODE: Deep Local Deblurring and A New Benchmark

Zerun Wang, Liuyu Xiang, Fan Yang, Jinzhao Qian, Jie Hu, Haidong Huang, Jungong Han, Yuchen Guo, Gui-Guang Ding

arXiv.org

2021

Emotion Recognition From Multiple Modalities: Fundamentals and methodologies

Si-Cheng Zhao, Guoli Jia, Ju-Feng Yang, Gui-Guang Ding, K. Keutzer

IEEE Signal Processing Magazine

2021

The 2020 Low-Power Computer Vision Challenge

Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhang-Yang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, R. Lee, Shengwen Liang, Zerun Wang, Gui-Guang Ding, Gang Zhang, Teng Xi, Yu-Bei Chen, Han Cai, Li-Geng Zhu, Zhe-Kai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tian-Zhe Wang, Jeffery Pan

International Conference on Artificial Intelligence Circuits and Systems

2021

MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation

Sicheng Zhao, Bo Li, Pengfei Xu, Xiangyu Yue, Guiguang Ding, Kurt Keutzer

International Journal of Computer Vision

2021

Dynamic Selective Network for RGB-D Salient Object Detection

Hongfa Wen, Chenggang Clarence Yan, Xiaofei Zhou, Runmin Cong, Yaoqi Sun, Bolun Zheng, Jiyong Zhang, Yongjun Bao, Guiguang Ding

IEEE Transactions on Image Processing

2020

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

Liuyu Xiang, Gui-Guang Ding, Jungong Han

European Conference on Computer Vision

2020

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

Yuwei He, Gui-Guang Ding

Neural Processing Letters

2020

ACMNet

Hui Chen, Gui-Guang Ding, Zijia Lin, Si-Cheng Zhao, Xiao-Peng Gu, Wen-Yuan Xu, Jun-Gong Han

ACM Trans. Multim. Comput. Commun. Appl.

2020

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

Leida Li, Han-Cheng Zhu, Si-Cheng Zhao, Gui-Guang Ding, Wei-Si Lin

IEEE Transactions on Image Processing

2020

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

Xiaohan Ding, Tian-Xiang Hao, Ji Liu, Jungong Han, Yuchen Guo, Gui-Guang Ding

arXiv.org

2020

Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data

Yuwei He, Xiaoming Jin, Gui-Guang Ding, Yuchen Guo, Jungong Han, Ji-Yong Zhang, Si-Cheng Zhao

AAAI Conference on Artificial Intelligence

2020

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

Si-Cheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Ju-Feng Yang, Gui-Guang Ding, A. Sangiovanni-Vincentelli, K. Keutzer

IEEE Transactions on Cybernetics

2020

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

Hui Chen, Gui-Guang Ding, Xu-Dong Liu, Zijia Lin, Ji Liu, Jungong Han

Computer Vision and Pattern Recognition

2020

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

Han-Cheng Zhu, Leida Li, Jin-Jian Wu, Si-Cheng Zhao, Gui-Guang Ding, Guang-Ming Shi

IEEE Transactions on Cybernetics

2020

Stepwise Diagnosis and Dynamic Change Prediction AI System for COVID-19

Heng-Rui Liang, Yu-Chen Guo, Xiangru Chen, K. Ang, Q. Lv, Qi-Cong Du, Qing-Si Zeng, Li-Gong Lu, Fangxing Nie, Gui-Guang Ding, Gao Huang, Ailan Chen, Yi-Min Li, Wei-Jie Guan, L. Sang, Yuan-Da Xu, Huai Chen, Tao Xu, F. Lure, Mei-Xiao Zhan, Yuanyi Huang, Zi-Sheng Chen, Shi-Yue Li, Nuo-Fu Zhang, Ying Chen, Danxia Huang, Run Li, Jian-Fu Li, B. Cheng, Yi Zhao, Cai-Chen Li, S. Xiong, Jun Liu, Wen Wang, Jun Huang, Fei Cui, Qiong-Hai Dai, W. Liang, Jian-Xing He, Nan-Shan Zhong

Social Science Research Network

2020

Shallow Feature Based Dense Attention Network for Crowd Counting

Yunqi Miao, Zijia Lin, Gui-Guang Ding, Jungong Han

AAAI Conference on Artificial Intelligence

2020

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting

Xiaohan Ding, Tian-Xiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Gui-Guang Ding

IEEE International Conference on Computer Vision

2020

Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse Learning

Si-Cheng Zhao, Gui-Guang Ding, Yue Gao, Xin Zhao, You-Bao Tang, J. Han, Hong-Xun Yao, Qingming Huang

IEEE Transactions on Affective Computing

2020

PANDA: A Gigapixel-Level Human-Centric Video Dataset

Xueyan Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Gui-Guang Ding, D. Brady, Qiong-Hai Dai, Lu Fang

Computer Vision and Pattern Recognition

2020

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

Gui-Guang Ding, Shuo Zhang, Zizhou Jia, Jingrui Zhong, Jungong Han

IEEE Transactions on Image Processing

2020

On Aggregation of Unsupervised Deep Binary Descriptor With Weak Bits

Wu, Zijia Lin, Gui-Guang Ding, Q. Ni, Jungong Han

IEEE Transactions on Image Processing

2019

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

Si-Cheng Zhao, Zizhou Jia, Hui Chen, Leida Li, Gui-Guang Ding, K. Keutzer

ACM Multimedia

2019

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

Wu, J. Han, Yuchen Guo, Li Liu, Gui-Guang Ding, Q. Ni, Ling Shao

IEEE Transactions on Image Processing

2019

Zero-shot multi-label learning via label factorisation

Hang Shao, Yuchen Guo, Gui-Guang Ding, J. Han

IET Computer Vision

2019

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

Yuchen Guo, Gui-Guang Ding, J. Han, Xiaohan Ding, Si-Cheng Zhao, Zheng Wang, C. Yan, Qiong-Hai Dai

AAAI Conference on Artificial Intelligence

2019

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

Yuchen Guo, Gui-Guang Ding, Jungong Han, Hang Shao, Xin Lou, Qiong-Hai Dai

International Joint Conference on Artificial Intelligence

2019

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

Si-Cheng Zhao, Amir Gholaminejad, Gui-Guang Ding, Yue Gao, J. Han, K. Keutzer

ACM Trans. Multim. Comput. Commun. Appl.

2019

Cross-Modal Image-Text Retrieval with Semantic Consistency

Hui Chen, Gui-Guang Ding, Zijia Lin, Si-Cheng Zhao, Jungong Han

ACM Multimedia

2019

Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure

Xiaohan Ding, Gui-Guang Ding, Yuchen Guo, J. Han

Computer Vision and Pattern Recognition

2019

Personality Driven Multi-task Learning for Image Aesthetic Assessment

Leida Li, Han-Cheng Zhu, Si-Cheng Zhao, Gui-Guang Ding, Hong-Yan Jiang, Allen Tan

IEEE International Conference on Multimedia and Expo

2019

Incremental Few-Shot Learning for Pedestrian Attribute Recognition

Liuyu Xiang, Xiaoming Jin, Gui-Guang Ding, Jungong Han, Leida Li

International Joint Conference on Artificial Intelligence

2019

DECODE: Deep Confidence Network for Robust Image Classification

Gui-Guang Ding, Yuchen Guo, Kai Chen, Chaoqun Chu, J. Han, Qiong-Hai Dai

IEEE Transactions on Image Processing

2019

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

Yuwei He, Gui-Guang Ding

Neural Processing Letters

2019

Recurrent Attention Model for Pedestrian Attribute Recognition

Xin Zhao, Liufang Sang, Gui-Guang Ding, J. Han, Na Di, C. Yan

AAAI Conference on Artificial Intelligence

2019

Approximated Oracle Filter Pruning for Destructive CNN Width Optimization

Xiaohan Ding, Gui-Guang Ding, Yuchen Guo, J. Han, C. Yan

International Conference on Machine Learning

2019

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

Liufang Sang, Xin Zhao, Gui-Guang Ding

Multimedia tools and applications

2019

Landmark Selection for Zero-shot Learning

Yuchen Guo, Gui-Guang Ding, Jungong Han, C. Yan, Ji-Yong Zhang, Qiong-Hai Dai

International Joint Conference on Artificial Intelligence

2019

Image Feature Extractor Image Feature Class Feature Output Softmax Weight Factor Branch Feature Branch Softmax

Yuchen Guo, Gui-Guang Ding, J. Han, Hang Shao, Xin Lou, Qiong-Hai Dai

2019

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

Wu, J. Han, Zijia Lin, Gui-Guang Ding, Bao-Chang Zhang, Q. Ni

IEEE transactions on industrial electronics (1982. Print)

2019

Optimized projection for hashing

Chaoqun Chu, Dahan Gong, Kai Chen, Yuchen Guo, J. Han, Gui-Guang Ding

Pattern Recognition Letters

2019

Balanced Hashing

Dahan Gong, Chaoqun Chu, Kai-Po Chen, Yuchen Guo, Gui-Guang Ding

Chinese journal of electronics

2019

Low Shot Box Correction for Weakly Supervised Object Detection

Tianxiang Pan, Bin Wang, Gui-Guang Ding, Jungong Han, J. Yong

International Joint Conference on Artificial Intelligence

2019

CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions

Si-Cheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Gui-Guang Ding, K. Keutzer

AAAI Conference on Artificial Intelligence

2019

Image Captioning with Memorized Knowledge

Hui Chen, Gui-Guang Ding, Zijia Lin, Yuchen Guo, Caifeng Shan, Jungong Han

Cognitive Computation

2019

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

Tao He, Xiaoming Jin, Gui-Guang Ding, Lan Yi, C. Yan

IEEE International Conference on Multimedia and Expo

2019

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

Xiaohan Ding, Yuchen Guo, Gui-Guang Ding, J. Han

IEEE International Conference on Computer Vision

2019

ARM Feature Embedding + Feature Extractor Feature Aggregation MLP ... Pool zzii / wwbbii Co-occurrence ( a ) ( b ) Attribute Prototype Embedding ( APE ) Classifier

Liuyu Xiang, Xiaoming Jin, Gui-Guang Ding, Jungong Han, Leida Li

2019

Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

Xiaohan Ding, Gui-Guang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu

Neural Information Processing Systems

2018

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

Hui Chen, Gui-Guang Ding, Zijia Lin, Yuchen Guo, J. Han

International Conference on Advances in Brain Inspired Cognitive Systems

2018

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

Zijia Lin, Gui-Guang Ding, J. Han, Ling Shao

IEEE Transactions on Neural Networks and Learning Systems

2018

Affective Image Content Analysis: A Comprehensive Survey

Si-Cheng Zhao, Gui-Guang Ding, Qingming Huang, Tat-Seng Chua, Björn Schuller, K. Keutzer

International Joint Conference on Artificial Intelligence

2018

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

Wu, Zijia Lin, J. Han, Li Liu, Gui-Guang Ding, Bao-Chang Zhang, J. Shen

International Joint Conference on Artificial Intelligence

2018

Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes

Yuchen Guo, Gui-Guang Ding, J. Han, Si-Cheng Zhao, Bin Wang

International Joint Conference on Artificial Intelligence

2018

Personality-Aware Personalized Emotion Recognition from Physiological Signals

Si-Cheng Zhao, Gui-Guang Ding, J. Han, Yue Gao

International Joint Conference on Artificial Intelligence

2018

Temporal-Difference Learning With Sampling Baseline for Image Captioning

Hui Chen, Gui-Guang Ding, Si-Cheng Zhao, J. Han

AAAI Conference on Artificial Intelligence

2018

Real-Time Scalable Visual Tracking via Quadrangle Kernelized Correlation Filters

Gui-Guang Ding, Wenshuo Chen, Si-Cheng Zhao, J. Han, Qiaoyan Liu

IEEE transactions on intelligent transportation systems (Print)

2018

Compressive hyperspectral imaging mask optimization

Binbin Lv, Jia-Min Wu, C. Yan, Xin-Hong Hao, Gui-Guang Ding, Yongdong Zhang, Qiong-Hai Dai

International Conference on Internet Multimedia Computing and Service

2018

Automatic Gating of Attributes in Deep Structure

Xiaoming Jin, Tao He, Cheng Wan, Lan Yi, Gui-Guang Ding, Dou Shen

International Joint Conference on Artificial Intelligence

2018

Robust Quantization for General Similarity Search

Yuchen Guo, Gui-Guang Ding, J. Han

IEEE Transactions on Image Processing

2018

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

Hui Chen, Gui-Guang Ding, Zijia Lin, Si-Cheng Zhao, J. Han

International Joint Conference on Artificial Intelligence

2018

Zero-Shot Learning With Attribute Selection

Yuchen Guo, Gui-Guang Ding, J. Han, Sheng Tang

AAAI Conference on Artificial Intelligence

2018

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

Si-Cheng Zhao, Xin Zhao, Gui-Guang Ding, K. Keutzer

ACM Multimedia

2018

On Trivial Solution and High Correlation Problems in Deep Supervised Hashing

Yuchen Guo, Xin Zhao, Gui-Guang Ding, J. Han

AAAI Conference on Artificial Intelligence

2018

Neural Image Caption Generation with Weighted Training and Reference

Gui-Guang Ding, Minghai Chen, Si-Cheng Zhao, Hui Chen, J. Han, Qiang Liu

Cognitive Computation

2018

Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning

Xin Zhao, Liufang Sang, Gui-Guang Ding, Yuchen Guo, Xiaoming Jin

International Joint Conference on Artificial Intelligence

2018

Predicting Personalized Image Emotion Perceptions in Social Networks

Si-Cheng Zhao, Hong-Xun Yao, Yue Gao, Gui-Guang Ding, Tat-Seng Chua

IEEE Transactions on Affective Computing

2018

Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks

Xiaohan Ding, Gui-Guang Ding, J. Han, Sheng Tang

AAAI Conference on Artificial Intelligence

2018

Real-Time Multimedia Social Event Detection in Microblog

Si-Cheng Zhao, Yue Gao, Gui-Guang Ding, Tat-Seng Chua

IEEE Transactions on Cybernetics

2018

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

Jingrui Zhong, Gui-Guang Ding, Yuchen Guo, J. Han, Bin Wang

International Joint Conference on Artificial Intelligence

2018

Shadow Detection Using Robust Texture Learning

Tianxiang Pan, Bin Wang, Gui-Guang Ding, J. Yong

British Machine Vision Conference

2017

Attribute-based supervised deep learning model for action recognition

Kai Chen, Gui-Guang Ding, J. Han

Frontiers of Computer Science

2017

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

Si-Cheng Zhao, Hong-Xun Yao, Yue Gao, R. Ji, Gui-Guang Ding

IEEE transactions on multimedia

2017

Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval

Yuchen Guo, Gui-Guang Ding, Li Liu, J. Han, Ling Shao

IEEE Transactions on Image Processing

2017

Synthesizing Samples for Zero-shot Learning

Yuchen Guo, Gui-Guang Ding, J. Han, Yue Gao

International Joint Conference on Artificial Intelligence

2017

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

Yang Long, Li Liu, Ling Shao, Fu-Min Shen, Gui-Guang Ding, J. Han

Computer Vision and Pattern Recognition

2017

Bike Football Cup Bird Computer Car Dicycle Seen Unseen Hashing Model Similar ?

Yuchen Guo, Gui-Guang Ding, Jungong Han, Yue Gao

2017

Sequential Discrete Hashing for Scalable Cross-Modality Similarity Retrieval

Li Liu, Zijia Lin, Ling Shao, Fu-Min Shen, Gui-Guang Ding, J. Han

IEEE Transactions on Image Processing

2017

Zero-Shot Learning With Transferred Samples

Yuchen Guo, Gui-Guang Ding, J. Han, Yue Gao

IEEE Transactions on Image Processing

2017

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

Tianxiang Pan, Bin Wang, Gui-Guang Ding, J. Yong

AAAI Conference on Artificial Intelligence

2017

Unsupervised Deep Video Hashing with Balanced Rotation

Wu, Li Liu, Yuchen Guo, Gui-Guang Ding, J. Han, J. Shen, Ling Shao

International Joint Conference on Artificial Intelligence

2017

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

Zijia Lin, Gui-Guang Ding, J. Han, Jian-Min Wang

IEEE Transactions on Cybernetics

2017

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

Si-Cheng Zhao, Gui-Guang Ding, Yue Gao, J. Han

International Joint Conference on Artificial Intelligence

2017

Reference Based LSTM for Image Captioning

Minghai Chen, Gui-Guang Ding, Si-Cheng Zhao, Hui Chen, Qiang Liu, J. Han

AAAI Conference on Artificial Intelligence

2017

Active Learning with Cross-Class Similarity Transfer

Yuchen Guo, Gui-Guang Ding, Yue Gao, J. Han

AAAI Conference on Artificial Intelligence

2017

SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing

Yuchen Guo, Gui-Guang Ding, J. Han, Yue Gao

International Joint Conference on Artificial Intelligence

2017

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

Xin Zhao, Gui-Guang Ding, Yuchen Guo, J. Han, Yue Gao

International Joint Conference on Artificial Intelligence

2017

Large-scale image retrieval with Sparse Embedded Hashing

Gui-Guang Ding, Jile Zhou, Yuchen Guo, Zijia Lin, Si-Cheng Zhao, J. Han

Neurocomputing

2017

Elephant Panda Lion Dolphin Dog Monkey ... ... Classes Elephant Dolphin Lion Classifier Training Data Synthesizing Prediction

Yuchen Guo, Gui-Guang Ding, J. Han, Yue Gao

2017

Learning Visual Emotion Distributions via Multi-Modal Features Fusion

Si-Cheng Zhao, Gui-Guang Ding, Yue Gao, J. Han

ACM Multimedia

2017

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

Yuchen Guo, Gui-Guang Ding, J. Han, Yue Gao

AAAI Conference on Artificial Intelligence

2017

Training data ... ... 0 1 1 0 1 0 0 1 Convolution and pooling layers fc layers Hashing layer Regularized center loss Bike Car Bird Dicycle Semantic embedding loss

Yuchen Guo, Gui-Guang Ding, J. Han, Yue Gao

2016

基于视觉的服装属性分类算法

刘聪,丁贵广

《微电子学与计算机》

2016

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

Guiguang Ding, Yuchen Guo, Jile Zhou, Yue Gao

IEEE Transactions on Image Processing

2016

Active Learning with Cross-Class Knowledge Transfer

Yuchen Guo, Gui-Guang Ding, Yuqi Wang, Xiaoming Jin

AAAI Conference on Artificial Intelligence

2016

Image Representation Optimization Based on Locally Aggregated Descriptors

Shi-Jiang Chen, Gui-Guang Ding, Chen-Xiao Li, Yuchen Guo

Pacific-Asia Conference on Knowledge Discovery and Data Mining

2016

Robust Iterative Quantization for Efficient ℓp-norm Similarity Search

Yuchen Guo, Gui-Guang Ding, J. Han, Xiaoming Jin

International Joint Conference on Artificial Intelligence

2016

Accelerated Manhattan hashing via bit-remapping with location information

Wenshuo Chen, Gui-Guang Ding, Zijia Lin, Jisheng Pei

Multimedia tools and applications

2016

Transductive Zero-Shot Recognition via Shared Model Space Learning

Yuchen Guo, Gui-Guang Ding, Xiaoming Jin, Jian-Min Wang

AAAI Conference on Artificial Intelligence

2016

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

Xin Zhao, Gui-Guang Ding

Multimedia tools and applications

2016

Semi-Supervised Active Learning with Cross-Class Sample Transfer

Yuchen Guo, Gui-Guang Ding, Yue Gao, Jian-Min Wang

International Joint Conference on Artificial Intelligence

2015

Robust Nonnegative Matrix Factorization with Discriminability for image representation

Yuchen Guo, Gui-Guang Ding, Jile Zhou

IEEE International Conference on Multimedia and Expo

2015

Robust and Discriminative Concept Factorization for Image Representation

Yuchen Guo, Gui-Guang Ding, Jile Zhou, Qiang Liu

International Conference on Multimedia Retrieval

2015

Distribution Regularized Nonnegative Matrix Factorization for Transfer Visual Feature Learning

Yuchen Guo, Gui-Guang Ding, Qiang Liu

International Conference on Multimedia Retrieval

2015

Semantics-preserving hashing for cross-view retrieval

Zijia Lin, Gui-Guang Ding, Ming-Qing Hu, Jian-Min Wang

Computer Vision and Pattern Recognition

2015

Learning Predictable and Discriminative Attributes for Visual Recognition

Yuchen Guo, Gui-Guang Ding, Xiaoming Jin, Jian-Min Wang

AAAI Conference on Artificial Intelligence

2015

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

Zijia Lin, Gui-Guang Ding, Ming-Qing Hu

Multimedia tools and applications

2014

Adaptation Regularization: A General Framework for Transfer Learning

Mingsheng Long, Jian-Min Wang, Gui-Guang Ding, Sinno Jialin Pan, Philip S. Yu

IEEE Transactions on Knowledge and Data Engineering

2014

Image tag completion via dual-view linear sparse reconstructions

Zijia Lin, Gui-Guang Ding, Ming-Qing Hu, Yunzhen Lin, S. Ge

Computer Vision and Image Understanding

2014

Multimodal visual dictionary learning via heterogeneous latent semantic sparse coding

Chen-Xiao Li, Gui-Guang Ding, Jile Zhou, Yuchen Guo, Qiang Liu

Photonics Asia

2014

Kernel-based supervised hashing for cross-view similarity search

Jile Zhou, Gui-Guang Ding, Yuchen Guo, Qiang Liu, XinPeng Dong

IEEE International Conference on Multimedia and Expo

2014

Transfer Joint Matching for Unsupervised Domain Adaptation

Mingsheng Long, Jian-Min Wang, Gui-Guang Ding, Jia-Guang Sun, Philip S. Yu

2014 IEEE Conference on Computer Vision and Pattern Recognition

2014

Latent semantic sparse hashing for cross-modal similarity search

Jile Zhou, Gui-Guang Ding, Yuchen Guo

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

2014

Collective Matrix Factorization Hashing for Multimodal Data

Gui-Guang Ding, Yuchen Guo, Jile Zhou

2014 IEEE Conference on Computer Vision and Pattern Recognition

2014

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

Zijia Lin, Gui-Guang Ding, Ming-Qing Hu, Jian-Min Wang

International Conference on Machine Learning

2013

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

Zijia Lin, Gui-Guang Ding, Ming-Qing Hu, Jian-Min Wang, Xiao-Jun Ye

2013 IEEE Conference on Computer Vision and Pattern Recognition

2013

Transfer Feature Learning with Joint Distribution Adaptation

Mingsheng Long, Jian-Min Wang, Gui-Guang Ding, Jia-Guang Sun, Philip S. Yu

IEEE International Conference on Computer Vision

2013

Transfer Sparse Coding for Robust Image Representation

Mingsheng Long, Gui-Guang Ding, Jian-Min Wang, Jia-Guang Sun, Yuchen Guo, Philip S. Yu

2013 IEEE Conference on Computer Vision and Pattern Recognition

2013

Multi-source image auto-annotation

Zijia Lin, Gui-Guang Ding, Ming-Qing Hu

2013 IEEE International Conference on Image Processing

2012

Transfer Learning with Graph Co-Regularization

Mingsheng Long, Jian-Min Wang, Gui-Guang Ding, Dou Shen, Qiang Yang

IEEE Transactions on Knowledge and Data Engineering

2012

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

Zijia Lin, Gui-Guang Ding, Ming-Qing Hu, Jian-Min Wang, Jia-Guang Sun

International Conference on Information and Knowledge Management

2012

Dual Transfer Learning

Mingsheng Long, Jian-Min Wang, Gui-Guang Ding, Wei Cheng, Xiang Zhang, Wei Wang

SDM

2011

面向云环境的图像高维特征索引框架

陈凤娟,丁贵广,朱妤晴

《计算机集成制造系统》

2011

Image annotation based on recommendation model

Zijia Lin, Gui-Guang Ding, Jian-Min Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

2010

Automatic semantic annotation of images based on Web data

Gui-Guang Ding, Na Xu

2010 Sixth International Conference on Information Assurance and Security

2010

FREE-VIEWPOINT VIDEO WATERMARKING BASED ON DEPTH MAP

Gui-Guang Ding, Ning Zhu, Jian-Min Wang

2010

Video annotation based on adaptive annular spatial partition scheme

Gui-Guang Ding, Lu Zhang, Xiao-Xu Li

IEICE Electronics Express

2010

Ring Fingerprint Based on Interest Points for Video Copy Detection

Gui-Guang Ding, Rongxian Nie

IEEE International Symposium on Multimedia

2010

Semantic classifier based on compressed sensing for image and video annotation

Gui-Guang Ding, K. Qin

2010

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

Gui-Guang Ding, Jian-Min Wang, K. Qin

Information Processing Letters

2009

A Novel Data-driven Image Annotation Method

Gui-Guang Ding, Jian-Min Wang, Na Xu

2009

Automatic Image Annotations by Mining Web Image Data

Gui-Guang Ding, Jian-Min Wang, Na Xu, Lu Zhang

2009 IEEE International Conference on Data Mining Workshops

2009

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

Rongxian Nie, Gui-Guang Ding, Jian-Min Wang, Li Zhang

2009 Fifth International Conference on Information Assurance and Security

2009

A novel Watermarking scheme resilient to video compression

Yongping Zhang, Hongmei Liu, Gui-Guang Ding, Philipp Zhang

IEEE International Conference on Multimedia and Expo

2009

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

Gui-Guang Ding

Multimedia tools and applications

2008

Panorama-based multi-view video coding

Wei Li, Gui-Guang Ding

International Conferences on Audio, Language and Image Processing

2008

A Novel Watermarking Method For Wyner-Ziv Video Coding

Ning Zhu, Gui-Guang Ding, Yaguang Yin, Jian-Min Wang

2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing

2008

Wyner-Ziv coding based on signal denoising technique

Gui-Guang Ding, Xiaodong Shen

2008

A Multi-view Video Coding Method Based on Distributed Source Coding for Free Viewpoint Switching

Gui-Guang Ding

2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing

2008

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

Ning Zhu, Gui-Guang Ding, Jian-Min Wang

2008 Eighth International Conference on Intelligent Systems Design and Applications

2007

A Distributed Video Coding Scheme Based on Denoising Techniques

Gui-Guang Ding, Feng Yang

Conference on Multimedia Modeling

2007

Wyner-Ziv Video Coding with Part Intracoding

Gui-Guang Ding

International Conference on Image and Graphics

2007

Multi-View Images Coding Based on Multiterminal Source Coding

Feng Yang, Qiong-Hai Dai, Gui-Guang Ding

IEEE International Conference on Acoustics, Speech, and Signal Processing

2005

基于兴趣点局部分布特征的图像检索方法

丁贵广,戴琼海,徐文立

《光电子·激光》

2005

Scalable video coding based on Wyner-Ziv framework

Gui-Guang Ding, Qiong-Hai Dai, Yaguang Yin, Feng Yang

Visual Communications and Image Processing

2005

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

Gui-Guang Ding, Qiong-Hai Dai, Wenli Xu

International Conference on Computational Intelligence and Security

2005

Adaptive Key Frame Selection Wyner-Ziv Video Coding

Feng Yang, Gui-Guang Ding, Qiong-Hai Dai, Yaguang Yin

IEEE Workshop on Multimedia Signal Processing

2005

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

Gui-Guang Ding, Qiong-Hai Dai, Feng Yang, Yaguang Yin

Visual Communications and Image Processing

2005

Affine-Invariant Image Retrieval Based on Wavelet Interest Points

Gui-Guang Ding, Qiong-Hai Dai, Wenli Xu, Feng Yang

IEEE Workshop on Multimedia Signal Processing

2005

Distributed source coding theorem based region of interest image compression method

Gui-Guang Ding, Feng Yang, Qiong-Hai Dai, Wenli Xu

2005

Fast motion estimation algorithm based on predictive line diamond search technology

Gui-Guang Ding, Qiong-Hai Dai, Wenli Xu

Proceedings. 2005 International Conference on Communications, Circuits and Systems, 2005.

2004

基于虚拟线圈的光流法车流量检测

计文平,郭宝龙,丁贵广

《计算机仿真》

2004

A line-diamond parallel search algorithm for block motion estimation

Gui-Guang Ding, Qiong-Hai Dai

International Conference on Image and Graphics

Safeguarding the target: Enhancing multi-source domain adaptation through domain reorganization

Yuwei He, Guiguang Ding, Yuchen Guo, Fan Yang, Tao He

Pattern Recognition

Region Resolution Learning and Region Segmentation Learning with Overall and Body Part Perception for Pedestrian Detection

Jun-Gong Han, Gui-Guang Ding, Yu Zhang, Hui Wang, Yizhuo Liu, Mao Lu

预印本

2026

FastOCR: Dynamic Visual Fixation via KV Cache Pruning for Efficient Document Parsing

Zihan Tang, Leqi Shen, Hui Chen, Ao Wang, Ben Wan, Yan Feng, Zhang, Ke, Sicheng Zhao, Tongxuan Liu, Guiguang Ding

arXiv (Cornell University)

2026

Attention-Spectrum Regularization for Replay-Free Continual Multimodal LLMs

Chuangxin Zhao, Canran Xiao, Siyuan Ma, Mengyao Lyu, Yanbiao Ma, Jun Xia, Guiguang Ding, Yang Liu

arXiv (Cornell University)

2025

PruneHal: Reducing Hallucinations in Multi-modal Large Language Models through Adaptive KV Cache Pruning

Sun, Fengyuan, Hui Chen, Xinhao Xu, Zheng, Dandan, Jingdong Chen, Zhou, Jun, Jungong Han, Guiguang Ding

arXiv (Cornell University)

2025

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models

He, Tao, Guang Shun Huang, Yang Yu, Tianshi Xu, Sicheng Zhao, Guiguang Ding, Pengyang Wang, Tian, Feng

arXiv (Cornell University)

2025

UniAttn: Reducing Inference Costs via Softmax Unification for Post-Training LLMs

Yizhe Xiong, Huang Wei, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Su, Zhenpeng, Jungong Han, Guiguang Ding

arXiv (Cornell University)

2024

YOLO-UniOW: Efficient Universal Open-World Object Detection

Lihao Liu, Juexiao Feng, Hui Chen, Ao Wang, Lin Song, Jungong Han, Guiguang Ding

arXiv (Cornell University)

2024

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, Jianwei Niu, Zijia Lin, Fuzheng Zhang, Di Zhang

arXiv (Cornell University)

2024

[CLS] Token Tells Everything Needed for Training-free Efficient MLLMs

Ao Wang, Sun, Fengyuan, Chen, Hui, Zijia Lin, Jungong Han, Guiguang Ding

arXiv (Cornell University)

2024

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval

Leqi Shen, Hao, Tianxiang, He, Tao, Sicheng Zhao, Zhang, Yifeng, Pengzhang Liu, Bao, Yongjun, Guiguang Ding

arXiv (Cornell University)

2024

MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts

Zhenpeng Su, Zijia Lin, Xue Bai, Desheng Dash Wu, Yizhe Xiong, Haoran Lian, Guangyuan Ma, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu

arXiv (Cornell University)

2023

Towards Efficient Vision-Language Tuning: More Information Density, More Generalizability

Tianxiang Hao, Mengyao Lyu, Hui Chen, Sicheng Zhao, Ding, Xiaohan, Jungong Han, Guiguang Ding

arXiv (Cornell University)

2023

RepViT-SAM: Towards Real-Time Segmenting Anything

Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

arXiv (Cornell University)

书籍章节

2024

Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection

Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding

Frontiers in artificial intelligence and applications

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