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- affiliation: Tsinghua University, Beijing, China
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2020 – today
- 2024
[j59]Yunqi Miao
, Jiankang Deng, Guiguang Ding, Jungong Han:
Confidence-Guided Centroids for Unsupervised Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 19: 6471-6483 (2024)- [j58]Tianxiang Hao, Xiaohan Ding, Jungong Han, Yuchen Guo, Guiguang Ding:
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16831-16844 (2024) - [c128]Juexiao Feng, Yuhong Yang, Yanchun Xie, Yaqian Li, Yandong Guo, Yuchen Guo, Yuwei He, Liuyu Xiang, Guiguang Ding:
Debiased Novel Category Discovering and Localization. AAAI 2024: 1753-1760 - [c127]Fan Yang, Hui Chen, Yuwei He, Sicheng Zhao, Chenghao Zhang, Kai Ni, Guiguang Ding:
Geometry-Guided Domain Generalization for Monocular 3D Object Detection. AAAI 2024: 6467-6476 - [c126]Sicheng Zhao, Jianhua Tao, Guiguang Ding:
Open-world Domain Adaptation and Generalization. ACM TUR-C 2024 - [c125]Xin Zhao, Jiaxin Li, Zhiwei Fang, Yuchen Guo, Jinyuan Zhao, Jie He, Wenlong Chen, Changping Peng, Guiguang Ding:
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System. AAMAS 2024: 2612-2614 - [c124]Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding:
One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications. CVPR 2024: 7559-7568 - [c123]Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
Rep ViT: Revisiting Mobile CNN From ViT Perspective. CVPR 2024: 15909-15920 - [c122]Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding:
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. ECAI 2024: 2098-2105 - [c121]Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence. ECCV (1) 2024: 228-246 - [c120]Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding:
PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation. ECCV (9) 2024: 455-473 - [c119]Tao He, Leqi Shen, Guiguang Ding, Zhiheng Zhou, Tianshi Xu, Xiaofeng Jin, Yuheng Huang:
Balanced Active Sampling for Person Re-identification. ICME 2024: 1-6 - [c118]Tao He, Leqi Shen, Guiguang Ding, Zhiheng Zhou, Tianshi Xu, Xiaofeng Jin, Yuheng Huang:
Camera Bias Regularization for Person Re-identification. ICME 2024: 1-6 - [c117]Leqi Shen, Tao He, Sicheng Zhao, Zhelun Shen, Yuchen Guo, Tianshi Xu, Guiguang Ding:
X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification. ICME 2024: 1-6 - [c116]Hui-Yue Yang, Hui Chen, Fan Zhang, Xiang Tian, Luning Zhu, Guiguang Ding:
A Simple Confidence-Supervised Model for High-Resolution Defect Recognition. ICRCA 2024: 380-384 - [c115]Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding:
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks. IJCAI 2024: 6587-6596 - [c114]Sicheng Zhao, Hui Chen, Hu Huang, Pengfei Xu, Guiguang Ding:
More is Better: Deep Domain Adaptation with Multiple Sources. IJCAI 2024: 8354-8362 - [c113]Leqi Shen, Sicheng Zhao, Yifeng Zhang, Hui Chen, Jundong Zhou, Pengzhang Liu, Yongjun Bao, Guiguang Ding:
Multi-Label Learning with Block Diagonal Labels. ACM Multimedia 2024: 4832-4840 - [c112]Zhenpeng Su, Zijia Lin, Bai Xue, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu:
MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models. NAACL-HLT (Findings) 2024: 250-262 - [i56]Juexiao Feng, Yuhong Yang, Yanchun Xie, Yaqian Li, Yandong Guo, Yuchen Guo, Yuwei He, Liuyu Xiang, Guiguang Ding:
Debiased Novel Category Discovering and Localization. CoRR abs/2402.18821 (2024) - [i55]Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding:
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation. CoRR abs/2403.09192 (2024) - [i54]Yizhe Xiong, Xiansheng Chen, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Jianwei Niu, Guiguang Ding:
Temporal Scaling Law for Large Language Models. CoRR abs/2404.17785 (2024) - [i53]Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Peng Liu, Hui Chen, Guiguang Ding:
Scaffold-BPE: Enhancing Byte Pair Encoding with Simple and Effective Scaffold Token Removal. CoRR abs/2404.17808 (2024) - [i52]Sicheng Zhao, Hui Chen, Hu Huang, Pengfei Xu, Guiguang Ding:
More is Better: Deep Domain Adaptation with Multiple Sources. CoRR abs/2405.00749 (2024) - [i51]Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding:
YOLOv10: Real-Time End-to-End Object Detection. CoRR abs/2405.14458 (2024) - [i50]Zhenpeng Su, Zijia Lin, Xue Bai, Xing Wu, Yizhe Xiong, Haoran Lian, Guangyuan Ma, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu:
MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts. CoRR abs/2407.09816 (2024) - [i49]Tianxiang Hao, Xiaohan Ding, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding:
Quantized Prompt for Efficient Generalization of Vision-Language Models. CoRR abs/2407.10704 (2024) - [i48]Zhen Qu, Xian Tao, Mukesh Prasad, Fei Shen, Zhengtao Zhang, Xinyi Gong, Guiguang Ding:
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation. CoRR abs/2407.12276 (2024) - [i47]Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence. CoRR abs/2407.18899 (2024) - [i46]Yifan Feng, Jiangang Huang, Shaoyi Du, Shihui Ying, Jun-Hai Yong, Yipeng Li, Guiguang Ding, Rongrong Ji, Yue Gao:
Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation. CoRR abs/2408.04804 (2024) - [i45]Fan Yang, Sicheng Zhao, Yanhao Zhang, Haoxiang Chen, Hui Chen, Wenbo Tang, Haonan Lu, Pengfei Xu, Zhenyu Yang, Jungong Han, Guiguang Ding:
LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image. CoRR abs/2408.07422 (2024) - [i44]Leqi Shen, Tianxiang Hao, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding:
TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval. CoRR abs/2409.01156 (2024) - [i43]Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding:
Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. CoRR abs/2409.06285 (2024) - 2023
- [j57]Mingqi Gao, Feng Zheng, James J. Q. Yu, Caifeng Shan, Guiguang Ding, Jungong Han:
Deep learning for video object segmentation: a review. Artif. Intell. Rev. 56(1): 457-531 (2023) - [j56]Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Yuwei He, Kai Ni, Guiguang Ding:
GPro3D: Deriving 3D BBox from ground plane in monocular 3D object detection. Neurocomputing 562: 126894 (2023) - [j55]Sicheng Zhao, Xiaopeng Hong, Jufeng Yang, Yanyan Zhao, Guiguang Ding:
Toward Label-Efficient Emotion and Sentiment Analysis. Proc. IEEE 111(10): 1159-1197 (2023) - [j54]Liuyu Xiang, Jungong Han, Guiguang Ding:
Margin-aware rectified augmentation for long-tailed recognition. Pattern Recognit. 141: 109608 (2023) - [c111]Mengyao Lyu, Jundong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Guiguang Ding:
Box-Level Active Detection. CVPR 2023: 23766-23775 - [c110]Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding:
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation. ICCV 2023: 11587-11597 - [c109]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han, Guiguang Ding:
Re-parameterizing Your Optimizers rather than Architectures. ICLR 2023 - [c108]Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding:
Consolidator: Mergable Adapter with Group Connections for Visual Adaptation. ICLR 2023 - [c107]Ao Wang, Hui Chen, Zijia Lin, Zixuan Ding, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Guiguang Ding:
Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels. ACM Multimedia 2023: 5594-5604 - [i42]Leqi Shen, Tao He, Yuchen Guo, Guiguang Ding:
X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification. CoRR abs/2302.02075 (2023) - [i41]Mengyao Lyu, Jundong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Guiguang Ding:
Box-Level Active Detection. CoRR abs/2303.13089 (2023) - [i40]Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding:
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation. CoRR abs/2305.00603 (2023) - [i39]Ao Wang, Hui Chen, Zijia Lin, Hengjun Pu, Guiguang Ding:
RepViT: Revisiting Mobile CNN From ViT Perspective. CoRR abs/2307.09283 (2023) - [i38]Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding:
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation. CoRR abs/2309.15575 (2023) - [i37]Ao Wang, Hui Chen, Zijia Lin, Sicheng Zhao, Jungong Han, Guiguang Ding:
CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and Favorable Transferability For ViTs. CoRR abs/2309.15755 (2023) - [i36]Zhenpeng Su, Xing Wu, Xue Bai, Zijia Lin, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu:
InfoEntropy Loss to Mitigate Bias of Learning Difficulties for Generative Language Models. CoRR abs/2310.19531 (2023) - [i35]Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding:
RepViT-SAM: Towards Real-Time Segmenting Anything. CoRR abs/2312.05760 (2023) - [i34]Tianxiang Hao, Mengyao Lyu, Hui Chen, Sicheng Zhao, Jungong Han, Guiguang Ding:
Re-parameterized Low-rank Prompt: Generalize a Vision-Language Model within 0.5K Parameters. CoRR abs/2312.10813 (2023) - [i33]Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding:
One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications. CoRR abs/2312.16145 (2023) - 2022
- [j53]Yaoqi Sun, Liang Li, Tingting Yao, Tongyv Lu, Bolun Zheng, Chenggang Yan, Hua Zhang, Yongjun Bao, Guiguang Ding, Gregory G. Slabaugh:
Bidirectional difference locating and semantic consistency reasoning for change captioning. Int. J. Intell. Syst. 37(5): 2969-2987 (2022) - [j52]Kai Chen, Zerun Wang, Xueyang Wang, Dahan Gong, Longlong Yu, Yuchen Guo, Guiguang Ding:
Towards real-time object detection in GigaPixel-level video. Neurocomputing 477: 14-24 (2022) - [j51]Yu Fu, Liuyu Xiang, Yumna Zahid, Guiguang Ding, Tao Mei, Qiang Shen, Jungong Han:
Long-tailed visual recognition with deep models: A methodological survey and evaluation. Neurocomputing 509: 290-309 (2022) - [j50]Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6729-6751 (2022) - [j49]Hancheng Zhu, Leida Li, Jinjian Wu, Sicheng Zhao, Guiguang Ding, Guangming Shi:
Personalized Image Aesthetics Assessment via Meta-Learning With Bilevel Gradient Optimization. IEEE Trans. Cybern. 52(3): 1798-1811 (2022) - [j48]Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer:
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. IEEE Trans. Cybern. 52(10): 10000-10013 (2022) - [c106]Tao He, Leqi Shen, Yuchen Guo, Guiguang Ding, Zhenhua Guo:
SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification. AAAI 2022: 879-887 - [c105]Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding:
ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising. AAAI 2022: 2786-2794 - [c104]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. CVPR 2022: 568-577 - [c103]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs. CVPR 2022: 11953-11965 - [c102]Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, Guiguang Ding:
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification. ACM Multimedia 2022: 560-571 - [i32]Xiaohan Ding, Xiangyu Zhang, Yizhuang Zhou, Jungong Han, Guiguang Ding, Jian Sun:
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs. CoRR abs/2203.06717 (2022) - [i31]Hehan Teng, Tao He, Yuchen Guo, Zhenhua Guo, Guiguang Ding:
A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets. CoRR abs/2204.00891 (2022) - [i30]Hehan Teng, Tao He, Yuchen Guo, Guiguang Ding:
A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets. CoRR abs/2205.03124 (2022) - [i29]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han, Guiguang Ding:
Re-parameterizing Your Optimizers rather than Architectures. CoRR abs/2205.15242 (2022) - [i28]Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Jungong Han, Kai Ni, Guiguang Ding:
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection. CoRR abs/2211.01556 (2022) - [i27]Yunqi Miao, Jiankang Deng, Guiguang Ding, Jungong Han:
Confidence-guided Centroids for Unsupervised Person Re-Identification. CoRR abs/2211.11921 (2022) - 2021
- [j47]Hui Chen, Guiguang Ding, Zijia Lin, Yuchen Guo, Caifeng Shan, Jungong Han:
Image Captioning with Memorized Knowledge. Cogn. Comput. 13(4): 807-820 (2021) - [j46]Sicheng Zhao, Bo Li, Pengfei Xu, Xiangyu Yue, Guiguang Ding, Kurt Keutzer:
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. Int. J. Comput. Vis. 129(8): 2399-2424 (2021) - [j45]Zixi Wang, Guiguang Ding, Jungong Han, Fan Li:
Deep image compression with multi-stage representation. J. Vis. Commun. Image Represent. 79: 103226 (2021) - [j44]Sicheng Zhao, Guoli Jia, Jufeng Yang, Guiguang Ding, Kurt Keutzer:
Emotion Recognition From Multiple Modalities: Fundamentals and methodologies. IEEE Signal Process. Mag. 38(6): 59-73 (2021) - [j43]Guiguang Ding, Shuo Zhang, Zizhou Jia, Jing Zhong, Jungong Han:
Where to Prune: Using LSTM to Guide Data-Dependent Soft Pruning. IEEE Trans. Image Process. 30: 293-304 (2021) - [j42]Yunqi Miao, Zijia Lin, Xiao Ma, Guiguang Ding, Jungong Han:
Learning Transformation-Invariant Local Descriptors With Low-Coupling Binary Codes. IEEE Trans. Image Process. 30: 7554-7566 (2021) - [j41]Hongfa Wen, Chenggang Yan, Xiaofei Zhou, Runmin Cong, Yaoqi Sun, Bolun Zheng, Jiyong Zhang, Yongjun Bao, Guiguang Ding:
Dynamic Selective Network for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30: 9179-9192 (2021) - [c101]Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding:
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans. AAAI 2021: 4821-4829 - [c100]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, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan:
The 2020 Low-Power Computer Vision Challenge. AICAS 2021: 1-4 - [c99]Liuyu Xiang, Guiguang Ding, Jungong Han:
Increasing Oversampling Diversity for Long-Tailed Visual Recognition. CICAI 2021: 39-50 - [c98]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
Diverse Branch Block: Building a Convolution as an Inception-Like Unit. CVPR 2021: 10886-10895 - [c97]Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun:
RepVGG: Making VGG-Style ConvNets Great Again. CVPR 2021: 13733-13742 - [c96]Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding:
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. ICCV 2021: 4490-4500 - [i26]Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun:
RepVGG: Making VGG-style ConvNets Great Again. CoRR abs/2101.03697 (2021) - [i25]Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding:
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans. CoRR abs/2101.05442 (2021) - [i24]Sicheng Zhao, Quanwei Huang, Youbao Tang, Xingxu Yao, Jufeng Yang, Guiguang Ding, Björn W. Schuller:
Computational Emotion Analysis From Images: Recent Advances and Future Directions. CoRR abs/2103.10798 (2021) - [i23]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
Diverse Branch Block: Building a Convolution as an Inception-like Unit. CoRR abs/2103.13425 (2021) - [i22]Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition. CoRR abs/2105.01883 (2021) - [i21]Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. CoRR abs/2106.16125 (2021) - [i20]Xiaohan Ding, Tianxiang Hao, Jungong Han, Yuchen Guo, Guiguang Ding:
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN. CoRR abs/2107.14444 (2021) - [i19]Sicheng Zhao, Guoli Jia, Jufeng Yang, Guiguang Ding, Kurt Keutzer:
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies. CoRR abs/2108.10152 (2021) - [i18]Zerun Wang, Liuyu Xiang, Fan Yang, Jinzhao Qian, Jie Hu, Haidong Huang, Jungong Han, Yuchen Guo, Guiguang Ding:
LODE: Deep Local Deblurring and A New Benchmark. CoRR abs/2109.09149 (2021) - [i17]Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding:
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. CoRR abs/2112.11081 (2021) - [i16]Kai Chen, Weihua Chen, Tao He, Rong Du, Fan Wang, Xiuyu Sun, Yuchen Guo, Guiguang Ding:
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification. CoRR abs/2112.14239 (2021) - 2020
- [j40]Wenchao Li, Xin Liu, Chenggang Yan, Guiguang Ding, Yaoqi Sun, Jiyong Zhang:
STS: Spatial-Temporal-Semantic Personalized Location Recommendation. ISPRS Int. J. Geo Inf. 9(9): 538 (2020) - [j39]Jiachen Yang, Chaofan Ma, Bin Jiang, Guiguang Ding, Gan Zheng, Huihui Wang:
Joint Optimization in Cached-Enabled Heterogeneous Network for Efficient Industrial IoT. IEEE J. Sel. Areas Commun. 38(5): 831-844 (2020) - [j38]Yuwei He, Guiguang Ding:
Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together. Neural Process. Lett. 51(3): 2077-2086 (2020) - [j37]Yuwei He, Guiguang Ding:
Correction to: Deep Transfer Learning for Image Emotion Analysis: Reducing Marginal and Joint Distribution Discrepancies Together. Neural Process. Lett. 51(3): 2087-2088 (2020) - [j36]Sicheng Zhao, Guiguang Ding, Yue Gao, Xin Zhao, Youbao Tang, Jungong Han, Hongxun Yao, Qingming Huang:
Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse Learning. IEEE Trans. Affect. Comput. 11(4): 574-587 (2020) - [j35]Leida Li, Hancheng Zhu, Sicheng Zhao, Guiguang Ding, Weisi Lin:
Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment. IEEE Trans. Image Process. 29: 3898-3910 (2020) - [j34]Gengshen Wu, Zijia Lin, Guiguang Ding, Qiang Ni, Jungong Han:
On Aggregation of Unsupervised Deep Binary Descriptor With Weak Bits. IEEE Trans. Image Process. 29: 9266-9278 (2020) - [j33]Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Xiaopeng Gu, Wenyuan Xu, Jungong Han:
ACMNet: Adaptive Confidence Matching Network for Human Behavior Analysis via Cross-modal Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 27:1-27:21 (2020) - [c95]Yuwei He, Xiaoming Jin, Guiguang Ding, Yuchen Guo, Jungong Han, Jiyong Zhang, Sicheng Zhao:
Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data. AAAI 2020: 4099-4106 - [c94]Yunqi Miao, Zijia Lin, Guiguang Ding, Jungong Han:
Shallow Feature Based Dense Attention Network for Crowd Counting. AAAI 2020: 11765-11772 - [c93]Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai, Lu Fang:
PANDA: A Gigapixel-Level Human-Centric Video Dataset. CVPR 2020: 3265-3275 - [c92]Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han:
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. CVPR 2020: 12652-12660 - [c91]Liuyu Xiang, Guiguang Ding, Jungong Han:
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-Tailed Classification. ECCV (5) 2020: 247-263 - [i15]Liuyu Xiang, Guiguang Ding:
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification. CoRR abs/2001.01536 (2020) - [i14]Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han:
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. CoRR abs/2003.03772 (2020) - [i13]Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai, Lu Fang:
PANDA: A Gigapixel-level Human-centric Video Dataset. CoRR abs/2003.04852 (2020) - [i12]Yunqi Miao, Zijia Lin, Guiguang Ding, Jungong Han:
Shallow Feature Based Dense Attention Network for Crowd Counting. CoRR abs/2006.09853 (2020) - [i11]Xiaohan Ding, Tianxiang Hao, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding:
Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization. CoRR abs/2007.03260 (2020) - [i10]Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer:
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. CoRR abs/2011.12470 (2020)
2010 – 2019
- 2019
- [j32]Guiguang Ding, Minghai Chen, Sicheng Zhao, Hui Chen, Jungong Han, Qiang Liu:
Neural Image Caption Generation with Weighted Training and Reference. Cogn. Comput. 11(6): 763-777 (2019) - [j31]Hang Shao, Yuchen Guo, Guiguang Ding, Jungong Han:
Zero-shot multi-label learning via label factorisation. IET Comput. Vis. 13(2): 117-124 (2019) - [j30]Liufang Sang, Xin Zhao, Guiguang Ding:
MEIAH: Mixing explicit and implicit formulation of attributes in binary representation for person re-identification. Multim. Tools Appl. 78(19): 27533-27551 (2019) - [j29]Chaoqun Chu, Dahan Gong, Kai Chen, Yuchen Guo, Jungong Han, Guiguang Ding:
Optimized projection for hashing. Pattern Recognit. Lett. 117: 169-178 (2019) - [j28]Gengshen Wu, Jungong Han, Zijia Lin, Guiguang Ding, Baochang Zhang, Qiang Ni:
Joint Image-Text Hashing for Fast Large-Scale Cross-Media Retrieval Using Self-Supervised Deep Learning. IEEE Trans. Ind. Electron. 66(12): 9868-9877 (2019) - [j27]Bin Jiang, Jiachen Yang, Guiguang Ding, Huihui Wang:
Cyber-Physical Security Design in Multimedia Data Cache Resource Allocation for Industrial Networks. IEEE Trans. Ind. Informatics 15(12): 6472-6480 (2019) - [j26]Gengshen Wu, Jungong Han, Yuchen Guo, Li Liu, Guiguang Ding, Qiang Ni, Ling Shao:
Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval. IEEE Trans. Image Process. 28(4): 1993-2007 (2019) - [j25]Guiguang Ding, Yuchen Guo, Kai Chen, Chaoqun Chu, Jungong Han, Qionghai Dai:
DECODE: Deep Confidence Network for Robust Image Classification. IEEE Trans. Image Process. 28(8): 3752-3765 (2019) - [j24]Sicheng Zhao, Amir Gholaminejad, Guiguang Ding, Yue Gao, Jungong Han, Kurt Keutzer:
Personalized Emotion Recognition by Personality-Aware High-Order Learning of Physiological Signals. ACM Trans. Multim. Comput. Commun. Appl. 15(1s): 14:1-14:18 (2019) - [c90]Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer:
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions. AAAI 2019: 2620-2627 - [c89]Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Börje Karlsson:
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition. AAAI 2019: 6236-6243 - [c88]Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding:
Adaptive Region Embedding for Text Classification. AAAI 2019: 7314-7321 - [c87]Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai:
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning. AAAI 2019: 8360-8367 - [c86]Xin Zhao, Liufang Sang, Guiguang Ding, Jungong Han, Na Di, Chenggang Yan:
Recurrent Attention Model for Pedestrian Attribute Recognition. AAAI 2019: 9275-9282 - [c85]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han:
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. CVPR 2019: 4943-4953 - [c84]Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han:
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. ICCV 2019: 1911-1920 - [c83]Leida Li, Hancheng Zhu, Sicheng Zhao, Guiguang Ding, Hongyan Jiang, Allen Tan:
Personality Driven Multi-task Learning for Image Aesthetic Assessment. ICME 2019: 430-435 - [c82]Tao He, Xiaoming Jin, Guiguang Ding, Lan Yi, Chenggang Yan:
Towards Better Uncertainty Sampling: Active Learning with Multiple Views for Deep Convolutional Neural Network. ICME 2019: 1360-1365 - [c81]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan:
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. ICML 2019: 1607-1616 - [c80]Tianxiang Pan, Bin Wang, Guiguang Ding, Jungong Han, Jun-Hai Yong:
Low Shot Box Correction for Weakly Supervised Object Detection. IJCAI 2019: 890-896 - [c79]Yuchen Guo, Guiguang Ding, Jungong Han, Hang Shao, Xin Lou, Qionghai Dai:
Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks. IJCAI 2019: 2428-2434 - [c78]Yuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, Qionghai Dai:
Landmark Selection for Zero-shot Learning. IJCAI 2019: 2435-2441 - [c77]Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li:
Incremental Few-Shot Learning for Pedestrian Attribute Recognition. IJCAI 2019: 3912-3918 - [c76]Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li, Guiguang Ding, Kurt Keutzer:
PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression. ACM Multimedia 2019: 192-201 - [c75]Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han:
Cross-Modal Image-Text Retrieval with Semantic Consistency. ACM Multimedia 2019: 1749-1757 - [c74]Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu:
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. NeurIPS 2019: 6379-6391 - [i9]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han:
Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure. CoRR abs/1904.03837 (2019) - [i8]Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan:
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. CoRR abs/1905.04748 (2019) - [i7]Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li:
Incremental Few-Shot Learning for Pedestrian Attribute Recognition. CoRR abs/1906.00330 (2019) - [i6]Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding:
Adaptive Region Embedding for Text Classification. CoRR abs/1906.01514 (2019) - [i5]Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Börje Karlsson:
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition. CoRR abs/1907.05611 (2019) - [i4]Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han:
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. CoRR abs/1908.03930 (2019) - [i3]Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li, Guiguang Ding, Kurt Keutzer:
PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression. CoRR abs/1909.05693 (2019) - [i2]Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Ji Liu, Jungong Han:
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. CoRR abs/1909.12778 (2019) - 2018
- [j23]Sicheng Zhao, Hongxun Yao, Yue Gao, Guiguang Ding, Tat-Seng Chua:
Predicting Personalized Image Emotion Perceptions in Social Networks. IEEE Trans. Affect. Comput. 9(4): 526-540 (2018) - [j22]Sicheng Zhao, Yue Gao, Guiguang Ding, Tat-Seng Chua:
Real-Time Multimedia Social Event Detection in Microblog. IEEE Trans. Cybern. 48(11): 3218-3231 (2018) - [j21]Yuchen Guo, Guiguang Ding, Jungong Han:
Robust Quantization for General Similarity Search. IEEE Trans. Image Process. 27(2): 949-963 (2018) - [j20]Guiguang Ding, Wenshuo Chen, Sicheng Zhao, Jungong Han, Qiaoyan Liu:
Real-Time Scalable Visual Tracking via Quadrangle Kernelized Correlation Filters. IEEE Trans. Intell. Transp. Syst. 19(1): 140-150 (2018) - [j19]Zijia Lin, Guiguang Ding, Jungong Han, Ling Shao:
End-to-End Feature-Aware Label Space Encoding for Multilabel Classification With Many Classes. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2472-2487 (2018) - [c73]Yuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han:
On Trivial Solution and High Correlation Problems in Deep Supervised Hashing. AAAI 2018: 2240-2247 - [c72]Hui Chen, Guiguang Ding, Sicheng Zhao, Jungong Han:
Temporal-Difference Learning With Sampling Baseline for Image Captioning. AAAI 2018: 6706-6713 - [c71]Xiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang:
Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks. AAAI 2018: 6797-6804 - [c70]Yuchen Guo, Guiguang Ding, Jungong Han, Sheng Tang:
Zero-Shot Learning With Attribute Selection. AAAI 2018: 6870-6877 - [c69]Hui Chen, Guiguang Ding, Zijia Lin, Yuchen Guo, Jungong Han:
Attend to Knowledge: Memory-Enhanced Attention Network for Image Captioning. BICS 2018: 161-171 - [c68]Tianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong:
Shadow Detection Using Robust Texture Learning. BMVC 2018: 114 - [c67]Binbin Lv, Jiamin Wu, Chenggang Yan, Xinhong Hao, Guiguang Ding, Yongdong Zhang, Qionghai Dai:
Compressive hyperspectral imaging mask optimization. ICIMCS 2018: 2:1-2:5 - [c66]Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han:
Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning. IJCAI 2018: 606-612 - [c65]Sicheng Zhao, Guiguang Ding, Jungong Han, Yue Gao:
Personality-Aware Personalized Emotion Recognition from Physiological Signals. IJCAI 2018: 1660-1667 - [c64]Xiaoming Jin, Tao He, Cheng Wan, Lan Yi, Guiguang Ding, Dou Shen:
Automatic Gating of Attributes in Deep Structure. IJCAI 2018: 2305-2311 - [c63]Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen:
Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval. IJCAI 2018: 2854-2860 - [c62]Xin Zhao, Liufang Sang, Guiguang Ding, Yuchen Guo, Xiaoming Jin:
Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning. IJCAI 2018: 3177-3183 - [c61]Jing Zhong, Guiguang Ding, Yuchen Guo, Jungong Han, Bin Wang:
Where to Prune: Using LSTM to Guide End-to-end Pruning. IJCAI 2018: 3205-3211 - [c60]Yuchen Guo, Guiguang Ding, Jungong Han, Sicheng Zhao, Bin Wang:
Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes. IJCAI 2018: 4898-4904 - [c59]Sicheng Zhao, Guiguang Ding, Qingming Huang, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: A Comprehensive Survey. IJCAI 2018: 5534-5541 - [c58]Sicheng Zhao, Xin Zhao, Guiguang Ding, Kurt Keutzer:
EmotionGAN: Unsupervised Domain Adaptation for Learning Discrete Probability Distributions of Image Emotions. ACM Multimedia 2018: 1319-1327 - 2017
- [j18]Kai Chen, Guiguang Ding, Jungong Han:
Attribute-based supervised deep learning model for action recognition. Frontiers Comput. Sci. 11(2): 219-229 (2017) - [j17]Guiguang Ding, Jile Zhou, Yuchen Guo, Zijia Lin, Sicheng Zhao, Jungong Han:
Large-scale image retrieval with Sparse Embedded Hashing. Neurocomputing 257: 24-36 (2017) - [j16]Wenshuo Chen, Guiguang Ding, Zijia Lin, Iyad Jafar, Jisheng Pei:
Accelerated Manhattan hashing via bit-remapping with location information. Multim. Tools Appl. 76(2): 2441-2466 (2017) - [j15]Xin Zhao, Guiguang Ding:
Query expansion for object retrieval with active learning using BoW and CNN feature. Multim. Tools Appl. 76(9): 12133-12147 (2017) - [j14]Zijia Lin, Guiguang Ding, Jungong Han, Jianmin Wang:
Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing. IEEE Trans. Cybern. 47(12): 4342-4355 (2017) - [j13]Li Liu, Zijia Lin, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han:
Sequential Discrete Hashing for Scalable Cross-Modality Similarity Retrieval. IEEE Trans. Image Process. 26(1): 107-118 (2017) - [j12]Yuchen Guo, Guiguang Ding, Li Liu, Jungong Han, Ling Shao:
Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval. IEEE Trans. Image Process. 26(3): 1344-1354 (2017) - [j11]Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao:
Zero-Shot Learning With Transferred Samples. IEEE Trans. Image Process. 26(7): 3277-3290 (2017) - [j10]Sicheng Zhao, Hongxun Yao, Yue Gao, Rongrong Ji, Guiguang Ding:
Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression. IEEE Trans. Multim. 19(3): 632-645 (2017) - [c57]Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han:
Active Learning with Cross-Class Similarity Transfer. AAAI 2017: 1338-1344 - [c56]Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han:
Reference Based LSTM for Image Captioning. AAAI 2017: 3981-3987 - [c55]Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao:
Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels. AAAI 2017: 4061-4067 - [c54]Tianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong:
Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation. AAAI 2017: 4240-4246 - [c53]Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han:
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis. CVPR 2017: 6165-6174 - [c52]Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao:
SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing. IJCAI 2017: 1767-1773 - [c51]Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao:
Synthesizing Samples for Zero-shot Learning. IJCAI 2017: 1774-1780 - [c50]Gengshen Wu, Li Liu, Yuchen Guo, Guiguang Ding, Jungong Han, Jialie Shen, Ling Shao:
Unsupervised Deep Video Hashing with Balanced Rotation. IJCAI 2017: 3076-3082 - [c49]Xin Zhao, Guiguang Ding, Yuchen Guo, Jungong Han, Yue Gao:
TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets. IJCAI 2017: 3511-3517 - [c48]Sicheng Zhao, Guiguang Ding, Yue Gao, Jungong Han:
Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion. IJCAI 2017: 4669-4675 - [c47]Sicheng Zhao, Guiguang Ding, Yue Gao, Jungong Han:
Learning Visual Emotion Distributions via Multi-Modal Features Fusion. ACM Multimedia 2017: 369-377 - [i1]Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han:
From Zero-shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis. CoRR abs/1705.01782 (2017) - 2016
- [j9]Guiguang Ding, Yuchen Guo, Jile Zhou, Yue Gao:
Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing. IEEE Trans. Image Process. 25(11): 5427-5440 (2016) - [c46]Yuchen Guo, Guiguang Ding, Yuqi Wang, Xiaoming Jin:
Active Learning with Cross-Class Knowledge Transfer. AAAI 2016: 1624-1630 - [c45]Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang:
Multi-Domain Active Learning for Recommendation. AAAI 2016: 2358-2364 - [c44]Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang:
Transductive Zero-Shot Recognition via Shared Model Space Learning. AAAI 2016: 3434-3500 - [c43]Tianyu Jia, Xiaomeng Zhao, Zheng Wang, Dahan Gong, Guiguang Ding:
Model Transformation and Data Migration from Relational Database to MongoDB. BigData Congress 2016: 60-67 - [c42]Yuchen Guo, Guiguang Ding, Yue Gao, Jianmin Wang:
Semi-Supervised Active Learning with Cross-Class Sample Transfer. IJCAI 2016: 1526-1532 - [c41]Yuchen Guo, Guiguang Ding, Jungong Han, Xiaoming Jin:
Robust Iterative Quantization for Efficient ℓp-norm Similarity Search. IJCAI 2016: 3382-3388 - [c40]Shijiang Chen, Guiguang Ding, Chenxiao Li, Yuchen Guo:
Image Representation Optimization Based on Locally Aggregated Descriptors. PAKDD (2) 2016: 104-116 - 2015
- [j8]Zijia Lin, Guiguang Ding, Mingqing Hu:
Image auto-annotation via tag-dependent random search over range-constrained visual neighbours. Multim. Tools Appl. 74(11): 4091-4116 (2015) - [c39]Cheng Wan, Xiaoming Jin, Guiguang Ding, Dou Shen:
Gaussian Cardinality Restricted Boltzmann Machines. AAAI 2015: 3031-3037 - [c38]Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang:
Learning Predictable and Discriminative Attributes for Visual Recognition. AAAI 2015: 3783-3789 - [c37]Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang:
Semantics-preserving hashing for cross-view retrieval. CVPR 2015: 3864-3872 - [c36]Yuchen Guo, Guiguang Ding, Jile Zhou:
Robust Nonnegative Matrix Factorization with Discriminability for image representation. ICME 2015: 1-6 - [c35]Yuchen Guo, Guiguang Ding, Jile Zhou, Qiang Liu:
Robust and Discriminative Concept Factorization for Image Representation. ICMR 2015: 115-122 - [c34]Yuchen Guo, Guiguang Ding, Qiang Liu:
Distribution Regularized Nonnegative Matrix Factorization for Transfer Visual Feature Learning. ICMR 2015: 299-306 - [c33]Dongzhao Liang, Yunzhen Lin, Guiguang Ding:
Mid-model Design Used in Model Transition and Data Migration between Relational Databases and NoSQL Databases. SmartCity 2015: 866-869 - 2014
- [j7]Zijia Lin, Guiguang Ding, Mingqing Hu, Yunzhen Lin, Shuzhi Sam Ge:
Image tag completion via dual-view linear sparse reconstructions. Comput. Vis. Image Underst. 124: 42-60 (2014) - [j6]Mingsheng Long, Jianmin Wang, Guiguang Ding, Sinno Jialin Pan, Philip S. Yu:
Adaptation Regularization: A General Framework for Transfer Learning. IEEE Trans. Knowl. Data Eng. 26(5): 1076-1089 (2014) - [j5]Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang:
Transfer Learning with Graph Co-Regularization. IEEE Trans. Knowl. Data Eng. 26(7): 1805-1818 (2014) - [c32]Hailong Wen, Guiguang Ding, Cong Liu, Jianming Wang:
Matrix Factorization Meets Cosine Similarity: Addressing Sparsity Problem in Collaborative Filtering Recommender System. APWeb 2014: 306-317 - [c31]Xiangdong Huang, Jianmin Wang, Jian Bai, Guiguang Ding, Mingsheng Long:
Inherent Replica Inconsistency in Cassandra. BigData Congress 2014: 740-747 - [c30]Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu:
Transfer Joint Matching for Unsupervised Domain Adaptation. CVPR 2014: 1410-1417 - [c29]Guiguang Ding, Yuchen Guo, Jile Zhou:
Collective Matrix Factorization Hashing for Multimodal Data. CVPR 2014: 2083-2090 - [c28]Hailong Wen, Cong Liu, Guiguang Ding, Qiang Liu:
CosSimReg: An Effective Transfer Learning Method in Social Recommender System. ICIC (1) 2014: 649-660 - [c27]Jile Zhou, Guiguang Ding, Yuchen Guo, Qiang Liu, XinPeng Dong:
Kernel-based supervised hashing for cross-view similarity search. ICME 2014: 1-6 - [c26]Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang:
Multi-label Classification via Feature-aware Implicit Label Space Encoding. ICML 2014: 325-333 - [c25]Jile Zhou, Guiguang Ding, Yuchen Guo:
Latent semantic sparse hashing for cross-modal similarity search. SIGIR 2014: 415-424 - 2013
- [j4]Weishi Zhang, Guiguang Ding, Li Chen, Chunping Li, Chengbo Zhang:
Generating virtual ratings from chinese reviews to augment online recommendations. ACM Trans. Intell. Syst. Technol. 4(1): 9:1-9:17 (2013) - [c24]Mingsheng Long, Guiguang Ding, Jianmin Wang, Jiaguang Sun, Yuchen Guo, Philip S. Yu:
Transfer Sparse Coding for Robust Image Representation. CVPR 2013: 407-414 - [c23]Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Xiaojun Ye:
Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions. CVPR 2013: 1618-1625 - [c22]Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu:
Transfer Feature Learning with Joint Distribution Adaptation. ICCV 2013: 2200-2207 - [c21]Zijia Lin, Guiguang Ding, Mingqing Hu:
Multi-source image auto-annotation. ICIP 2013: 2567-2571 - [c20]Jiangfeng Shi, Mingsheng Long, Qiang Liu, Guiguang Ding, Jianmin Wang:
Twin Bridge Transfer Learning for Sparse Collaborative Filtering. PAKDD (1) 2013: 496-507 - 2012
- [c19]Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang:
Transfer Learning with Graph Co-Regularization. AAAI 2012: 1033-1039 - [c18]Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Jiaguang Sun:
Automatic image annotation using tag-related random search over visual neighbors. CIKM 2012: 1784-1788 - [c17]Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang:
Dual Transfer Learning. SDM 2012: 540-551 - 2011
- [c16]Zijia Lin, Guiguang Ding, Jianmin Wang:
Image annotation based on recommendation model. SIGIR 2011: 1097-1098 - 2010
- [j3]Guiguang Ding, Lu Zhang, Xiaoxu Li:
Video annotation based on adaptive annular spatial partition scheme. IEICE Electron. Express 7(1): 7-12 (2010) - [j2]Guiguang Ding, Jianmin Wang, Kai Qin:
A visual word weighting scheme based on emerging itemsets for video annotation. Inf. Process. Lett. 110(16): 692-696 (2010) - [c15]Guiguang Ding, Na Xu:
Automatic semantic annotation of images based on Web data. IAS 2010: 317-322 - [c14]Weishi Zhang, Guiguang Ding, Li Chen, Chunping Li:
Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification. ICDM Workshops 2010: 1143-1150 - [c13]Guiguang Ding, Rongxian Nie:
Ring Fingerprint Based on Interest Points for Video Copy Detection. ISM 2010: 347-352
2000 – 2009
- 2009
- [j1]Guiguang Ding:
Distributed video coding based on part intracoding and soft side information estimation. Multim. Tools Appl. 41(2): 183-195 (2009) - [c12]Rongxian Nie, Guiguang Ding, Jianmin Wang, Li Zhang:
A New Fingerprint Sequences Matching Algorithm for Content-Based Copy Detection. IAS 2009: 427-430 - [c11]Xiaodong Shen, Guiguang Ding, Yizheng Chen, Jianmin Wang:
Adaptive-Push Peer-to-Peer Video Streaming System Based on Dynamic Unstructured Topology. IAS 2009: 697-700 - [c10]Guiguang Ding, Jianmin Wang, Na Xu, Lu Zhang:
Automatic Image Annotations by Mining Web Image Data. ICDM Workshops 2009: 152-157 - 2008
- [c9]Guiguang Ding:
A Multi-view Video Coding Method Based on Distributed Source Coding for Free Viewpoint Switching. IIH-MSP 2008: 438-441 - [c8]Ning Zhu, Guiguang Ding, Yaguang Yin, Jianmin Wang:
A Novel Watermarking Method For Wyner-Ziv Video Coding. IIH-MSP 2008: 857-860 - [c7]Ning Zhu, Guiguang Ding, Jianmin Wang:
A Novel Digital Watermarking Method for New Viewpoint Video Based on Depth Map. ISDA (2) 2008: 3-7 - 2007
- [c6]Feng Yang, Qionghai Dai, Guiguang Ding:
Multi-View Images Coding Based on Multiterminal Source Coding. ICASSP (1) 2007: 1037-1040 - [c5]Guiguang Ding, Feng Yang:
A Distributed Video Coding Scheme Based on Denoising Techniques. MMM (1) 2007: 237-246 - 2005
- [c4]Guiguang Ding, Qionghai Dai, Wenli Xu:
Motion-Compensated 3D Wavelet Video Coding Based on Adaptive Temporal Lifting Filter Implementation. CIS (2) 2005: 863-868 - [c3]Guiguang Ding, Qionghai Dai, Wenli Xu, Feng Yang:
Affine-Invariant Image Retrieval Based on Wavelet Interest Points. MMSP 2005: 1-4 - [c2]Feng Yang, Guiguang Ding, Qionghai Dai, Yaguang Yin:
Adaptive Key Frame Selection Wyner-Ziv Video Coding. MMSP 2005: 1-4 - 2004
- [c1]Guiguang Ding, Qionghai Dai:
A line-diamond parallel search algorithm for block motion estimation. ICIG 2004: 320-323
Coauthor Index
[c127] [c124] [c123] [c122] [c121] [c120] [c116] [c115] [c114] [c113] [c112] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i47] [i45] [i43] [j56] [c111] [c110] [c108] [c107] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i28] [j47] [j33] [c92] [i14] [j32] [c89] [c76] [c75] [i5] [i3] [c72] [c69] [c66] [c56]
[j58] [c128] [c125] [c117] [i56] [j56] [c111] [c108] [i42] [i41] [i40] [j52] [c106] [c105] [c102] [i31] [i30] [i28] [j47] [c96] [i20] [i18] [i16] [c95] [c93] [i13] [i11] [j31] [j29] [j26] [j25] [c90] [c87] [c85] [c84] [c81] [c79] [c78] [c74] [i9] [i8] [i4] [i2] [j21] [c73] [c70] [c69] [c62] [c61] [c60] [j17] [j12] [j11] [c57] [c55] [c52] [c51] [c50] [c49] [j9] [c46] [c44] [c42] [c41] [c40] [c38] [c36] [c35] [c34] [c29] [c27] [c25] [c24]
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last updated on 2024-11-08 20:27 CET by the dblp team
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