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ORCIDYue Gao 0002
Person information
- affiliation: Tsinghua University, Tsinghua National Laboratory for Information Science and Technology, School of Software, Beijing, China
- affiliation: Key Laboratory for Information System Security, Beijing, China
- affiliation (former): National University of Singapore, School of Computing, Singapore
- affiliation (PhD 2012): Tsinghua University, Department of Automation, Beijing, China
Other persons with the same name
- Yue Gao — disambiguation page
- Yue Gao 0001
![[0000-0001-6502-9910]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6502-9910")
— Fudan University, Shanghai, China (and 2 more) - Yue Gao 0003 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Yue Gao 0004 — Harbin Medical University, Harbin, China
- Yue Gao 0005 — Shanghai Jiaotong University, China
- Yue Gao 0006 — Peking University, China
- Yue Gao 0007 — Southwestern University of Finance and Economics, Chengdu, China
- Yue Gao 0008 — Beihang University, School of Astronautics, Image Processing Center, Beijing, China (and 1 more)
- Yue Gao 0009 — Sun Yat-Sen University, China
- Yue Gao 0010 — McGill University, Montreal, Quebec, Canada
- Yue Gao 0011 — University of Wisconsin at Madison, WI, USA
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2020 – today
- 2024
[j139]Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Yongjian Wu, Yue Gao, Rongrong Ji:
Towards Language-Guided Visual Recognition via Dynamic Convolutions. Int. J. Comput. Vis. 132(1): 1-19 (2024)- [j138]Sicheng Zhao, Huizai Yao, Chuang Lin, Yue Gao, Guiguang Ding:
Multi-source-free Domain Adaptive Object Detection. Int. J. Comput. Vis. 132(12): 5950-5982 (2024) - [j137]Yifan Feng, Shuyi Ji, Yu-Shen Liu, Shaoyi Du, Qionghai Dai, Yue Gao:
Hypergraph-Based Multi-Modal Representation for Open-Set 3D Object Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2206-2223 (2024) - [j136]Yifan Feng, Jiashu Han, Shihui Ying, Yue Gao:
Hypergraph Isomorphism Computation. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3880-3896 (2024) - [j135]Bo-Hua Wang, Zhiqiang Tian, Aixue Ye, Feng Wen, Shaoyi Du, Yue Gao:
Generative Variational-Contrastive Learning for Self-Supervised Point Cloud Representation. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6154-6166 (2024) - [j134]Yue Gao, Jiaxuan Lu, Siqi Li, Yipeng Li, Shaoyi Du:
Hypergraph-Based Multi-View Action Recognition Using Event Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6610-6622 (2024) - [j133]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9957-9974 (2024) - [j132]Lipeng Cai, Jun Shi, Shaoyi Du, Yue Gao, Shihui Ying:
Self-adaptive subspace representation from a geometric intuition. Pattern Recognit. 149: 110228 (2024) - [j131]Nan Ma, Zhixuan Wu, Yifan Feng, Cheng Wang, Yue Gao:
Multi-View Time-Series Hypergraph Neural Network for Action Recognition. IEEE Trans. Image Process. 33: 3301-3313 (2024) - [j130]Yang Zhang, Ting Yu, Shengqiang Chi, Zhen Wang, Yue Gao, Ji Zhang, Tianshu Zhou:
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks. ACM Trans. Knowl. Discov. Data 18(8): 196:1-196:24 (2024) - [j129]Hao Zhong, Yubo Zhang, Chenggang Yan, Zuxing Xuan, Ting Yu, Ji Zhang, Shihui Ying, Yue Gao:
Penalized Flow Hypergraph Local Clustering. IEEE Trans. Knowl. Data Eng. 36(5): 2110-2125 (2024) - [j128]Yu Jiang, Yuehang Wang, Siqi Li, Yongji Zhang, Minghao Zhao, Yue Gao:
Event-Based Low-Illumination Image Enhancement. IEEE Trans. Multim. 26: 1920-1931 (2024) - [c105]Bingjun Luo, Zewen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao, Yue Gao:
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition. AAAI 2024: 565-573 - [c104]Bingjun Luo, Haowen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao, Yue Gao:
Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition. AAAI 2024: 10101-10109 - [c103]Siqi Li, Zhikuan Zhou, Zhou Xue, Yipeng Li, Shaoyi Du, Yue Gao:
3D Feature Tracking via Event Camera. CVPR 2024: 18974-18983 - [c102]Juncheng Mu, Lin Bie, Shaoyi Du, Yue Gao:
ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion. CVPR 2024: 21061-21070 - [c101]Yifan Feng, Yihe Luo, Shihui Ying, Yue Gao:
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference. ICLR 2024 - [c100]Jielong Yan, Yifan Feng, Shihui Ying, Yue Gao:
Hypergraph Dynamic System. ICLR 2024 - [c99]Junsheng Zhou, Xin Wen, Baorui Ma, Yu-Shen Liu, Yue Gao, Yi Fang, Zhizhong Han:
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. ICRA 2024: 15416-15423 - [c98]Yang Xu, Yifan Feng, Yue Gao:
Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval. IJCAI 2024: 1498-1506 - [c97]Sunwoo Kim, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin:
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. KDD 2024: 6534-6544 - [c96]Huijian Zhou, Zhiqiang Tian, Xiangmin Han, Shaoyi Du, Yue Gao:
ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs. MICCAI (5) 2024: 145-154 - [c95]Xiangmin Han, Rundong Xue, Shaoyi Du, Yue Gao:
Inter-intra High-Order Brain Network for ASD Diagnosis via Functional MRIs. MICCAI (2) 2024: 216-226 - [c94]Jiaxuan Lu, Fang Yan, Xiaofan Zhang, Yue Gao, Shaoting Zhang:
PathoTune: Adapting Visual Foundation Model to Pathological Specialists. MICCAI (4) 2024: 395-406 - [i33]Donglin Di, Jiahui Yang, Chaofan Luo, Zhou Xue, Wei Chen, Xun Yang, Yue Gao:
Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph. CoRR abs/2403.09236 (2024) - [i32]Jiaxuan Lu, Fang Yan, Xiaofan Zhang, Yue Gao, Shaoting Zhang:
PathoTune: Adapting Visual Foundation Model to Pathological Specialists. CoRR abs/2403.16497 (2024) - [i31]Yue Gao, Jiaxuan Lu, Siqi Li, Yipeng Li, Shaoyi Du:
Hypergraph-based Multi-View Action Recognition using Event Cameras. CoRR abs/2403.19316 (2024) - [i30]Sunwoo Kim, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin:
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. CoRR abs/2404.01039 (2024) - [i29]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) - [i28]Yifan Feng, Chengwu Yang, Xingliang Hou, Shaoyi Du, Shihui Ying, Zongze Wu, Yue Gao:
Beyond Graphs: Can Large Language Models Comprehend Hypergraphs? CoRR abs/2410.10083 (2024) - 2023
- [b1]Qionghai Dai, Yue Gao:
Hypergraph Computation. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2023, ISBN 978-981-99-0184-5, pp. 1-244 - [j127]Jinhe Dong, Jun Shi, Yue Gao, Shihui Ying:
GAME: GAussian Mixture Error-based meta-learning architecture. Neural Comput. Appl. 35(28): 20445-20461 (2023) - [j126]Yujie Wang, Chenggang Yan, Yutong Feng, Shaoyi Du, Qionghai Dai, Yue Gao:
STORM: Structure-Based Overlap Matching for Partial Point Cloud Registration. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1135-1149 (2023) - [j125]Yubo Zhang, Shuyi Ji, Changqing Zou, Xibin Zhao, Shihui Ying, Yue Gao:
Graph Learning on Millions of Data in Seconds: Label Propagation Acceleration on Graph Using Data Distribution. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1835-1847 (2023) - [j124]Yue Gao, Yifan Feng, Shuyi Ji, Rongrong Ji:
HGNN+: General Hypergraph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3181-3199 (2023) - [j123]Donglin Di, Changqing Zou, Yifan Feng, Haiyan Zhou, Rongrong Ji, Qionghai Dai, Yue Gao:
Generating Hypergraph-Based High-Order Representations of Whole-Slide Histopathological Images for Survival Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5800-5815 (2023) - [j122]Hai Wan, Xinwei Zhang, Yubo Zhang, Xibin Zhao, Shihui Ying, Yue Gao:
Structure Evolution on Manifold for Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7751-7763 (2023) - [j121]Yue Gao, Siqi Li, Yipeng Li, Yandong Guo, Qionghai Dai:
SuperFast: 200× Video Frame Interpolation via Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7764-7780 (2023) - [j120]Shengrui Li, Yining Zhao, Jun Zhang, Ting Yu, Ji Zhang, Yue Gao:
High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11008-11023 (2023) - [j119]Yue Gao, Jiaxuan Lu, Siqi Li, Nan Ma, Shaoyi Du, Yipeng Li, Qionghai Dai:
Action Recognition and Benchmark Using Event Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14081-14097 (2023) - [j118]Runzhao Yao, Shaoyi Du, Wenting Cui, Aixue Ye, Feng Wen, Hongbo Zhang, Zhiqiang Tian, Yue Gao:
Hunter: Exploring High-Order Consistency for Point Cloud Registration With Severe Outliers. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14760-14776 (2023) - [j117]Nan Wang, Ruozhou Liang, Xibin Zhao, Yue Gao:
Cost-Sensitive Hypergraph Learning With F-Measure Optimization. IEEE Trans. Cybern. 53(5): 2767-2778 (2023) - [j116]Jiaxuan Lu, Hai Wan, Peiyan Li, Xibin Zhao, Nan Ma, Yue Gao:
Exploring High-Order Spatio-Temporal Correlations From Skeleton for Person Re-Identification. IEEE Trans. Image Process. 32: 949-963 (2023) - [j115]Junjie Zhu, Bingjun Luo, Tianyu Yang, Zewen Wang, Xibin Zhao, Yue Gao:
Knowledge Conditioned Variational Learning for One-Class Facial Expression Recognition. IEEE Trans. Image Process. 32: 4010-4023 (2023) - [j114]Youpeng Hu, Xunkai Li, Yujie Wang, Yixuan Wu, Yining Zhao, Chenggang Yan, Jian Yin, Yue Gao:
Adaptive Hypergraph Auto-Encoder for Relational Data Clustering. IEEE Trans. Knowl. Data Eng. 35(3): 2231-2242 (2023) - [j113]Yuanjie Zheng, Yunshuai Yang, Tongtong Che, Sujuan Hou, Wenhui Huang, Yue Gao, Ping Tan:
Image Matting With Deep Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8879-8893 (2023) - [c93]Bingjun Luo, Junjie Zhu, Tianyu Yang, Sicheng Zhao, Chao Hu, Xibin Zhao, Yue Gao:
Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition. AAAI 2023: 6065-6073 - [c92]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. CVPR 2023: 13591-13600 - [c91]Meng Wang, Yu-Shen Liu, Yue Gao, Kanle Shi, Yi Fang, Zhizhong Han:
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes. CVPR 2023: 21856-21865 - [c90]Junjie Zhu, Bingjun Luo, Ao Sun, Jinghang Tan, Xibin Zhao, Yue Gao:
Variance-Aware Bi-Attention Expression Transformer for Open-Set Facial Expression Recognition in the Wild. ACM Multimedia 2023: 862-870 - [c89]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function. NeurIPS 2023 - [i27]Pengyu Yin, Di Wang, Shaoyi Du, Shihui Ying, Yue Gao, Nanning Zheng:
CoBigICP: Robust and Precise Point Set Registration using Correntropy Metrics and Bidirectional Correspondence. CoRR abs/2301.08857 (2023) - [i26]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. CoRR abs/2305.05873 (2023) - [i25]Yifan Feng, Jiashu Han, Shihui Ying, Yue Gao:
Hypergraph Isomorphism Computation. CoRR abs/2307.14394 (2023) - [i24]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function. CoRR abs/2311.00389 (2023) - [i23]Bingjun Luo, Haowen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao, Yue Gao:
Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition. CoRR abs/2312.05907 (2023) - [i22]Bingjun Luo, Zewen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao, Yue Gao:
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition. CoRR abs/2312.05908 (2023) - 2022
- [j112]Yifan Feng, Yue Gao, Xibin Zhao, Yandong Guo, Nihar Bagewadi, Nhat-Tan Bui, Hieu Dao, Shankar Gangisetty, Ripeng Guan, Xie Han, Cong Hua, Chidambar Hunakunti, Yu Jiang, Shichao Jiao, Yuqi Ke, Liqun Kuang, Anan Liu, Dinh-Huan Nguyen, Hai-Dang Nguyen, Weizhi Nie, Bang-Dang Pham, Karthik Raikar, Qingmei Tang, Minh-Triet Tran, Jialong Wan, Chenggang Yan, Haoxuan You, Difei Zhu:
SHREC'22 track: Open-Set 3D Object Retrieval. Comput. Graph. 107: 231-240 (2022) - [j111]Taisong Jin, Huaqiang Dai, Liujuan Cao, Baochang Zhang, Feiyue Huang, Yue Gao, Rongrong Ji:
Deepwalk-aware graph convolutional networks. Sci. China Inf. Sci. 65(5): 1-15 (2022) - [j110]Si-Qi Li, Yue Gao, Qionghai Dai:
Image De-occlusion via Event-enhanced Multi-modal Fusion Hybrid Network. Int. J. Autom. Comput. 19(4): 307-318 (2022) - [j109]Zhixuan Wu, Nan Ma, Yue Gao, Jiahong Li, Xin-Kai Xu, Yongqiang Yao, Li Chen:
Attention Mechanism Based on Improved Spatial-Temporal Convolutional Neural Networks for Traffic Police Gesture Recognition. Int. J. Pattern Recognit. Artif. Intell. 36(8): 2256001:1-2256001:19 (2022) - [j108]Nan Wang, Yubo Zhang, Xibin Zhao, Yingli Zheng, Hao Fan, Boya Zhou, Yue Gao:
Search-based cost-sensitive hypergraph learning for anomaly detection. Inf. Sci. 617: 451-463 (2022) - [j107]Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Jinsong Su, Deyu Meng, Yue Gao, Chunhua Shen:
Plenty is Plague: Fine-Grained Learning for Visual Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 697-709 (2022) - [j106]Yue Gao, Zizhao Zhang, Haojie Lin, Xibin Zhao, Shaoyi Du, Changqing Zou:
Hypergraph Learning: Methods and Practices. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2548-2566 (2022) - [j105]Haoyi Fan, Fengbin Zhang, Yuxuan Wei, Zuoyong Li, Changqing Zou, Yue Gao, Qionghai Dai:
Heterogeneous Hypergraph Variational Autoencoder for Link Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4125-4138 (2022) - [j104]Xuancheng Zhang, Rui Ma, Changqing Zou, Minghao Zhang, Xibin Zhao, Yue Gao:
View-Aware Geometry-Structure Joint Learning for Single-View 3D Shape Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6546-6561 (2022) - [j103]Wei-Zhi Nie, An-An Liu, Sicheng Zhao, Yue Gao:
Deep Correlated Joint Network for 2-D Image-Based 3-D Model Retrieval. IEEE Trans. Cybern. 52(3): 1862-1871 (2022) - [j102]Shuyi Ji, Zizhao Zhang, Shihui Ying, Liejun Wang, Xibin Zhao, Yue Gao:
Kullback-Leibler Divergence Metric Learning. IEEE Trans. Cybern. 52(4): 2047-2058 (2022) - [j101]Yan Wang, Yining Zhao, Shihui Ying, Shaoyi Du, Yue Gao:
Rotation-Invariant Point Cloud Representation for 3-D Model Recognition. IEEE Trans. Cybern. 52(10): 10948-10956 (2022) - [j100]Donglin Di, Jun Zhang, Fuqiang Lei, Qi Tian, Yue Gao:
Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole Slide Image. IEEE Trans. Image Process. 31: 1149-1160 (2022) - [j99]Xiangyu Li, Gongning Luo, Wei Wang, Kuanquan Wang, Yue Gao, Shuo Li:
Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation. IEEE J. Biomed. Health Informatics 26(3): 1140-1151 (2022) - [j98]Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu, Pengfei Zhu, Yue Gao:
Unsupervised Spectral Feature Selection With Dynamic Hyper-Graph Learning. IEEE Trans. Knowl. Data Eng. 34(6): 3016-3028 (2022) - [j97]Xueqi Ma, Weifeng Liu, Qi Tian, Yue Gao:
Learning Representation on Optimized High-Order Manifold for Visual Classification. IEEE Trans. Multim. 24: 3989-4001 (2022) - [j96]Teng Wan, Shaoyi Du, Wenting Cui, Runzhao Yao, Yuyan Ge, Ce Li, Yue Gao, Nanning Zheng:
RGB-D Point Cloud Registration Based on Salient Object Detection. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3547-3559 (2022) - [c88]Yining Zhao, Chao Wen, Zhou Xue, Yue Gao:
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform. ECCV (1) 2022: 637-654 - [c87]Yutong Feng, Jianwen Jiang, Mingqian Tang, Rong Jin, Yue Gao:
Rethinking Supervised Pre-Training for Better Downstream Transferring. ICLR 2022 - [c86]Xinwei Zhang, Jianwen Jiang, Yutong Feng, Zhi-Fan Wu, Xibin Zhao, Hai Wan, Mingqian Tang, Rong Jin, Yue Gao:
Grow and Merge: A Unified Framework for Continuous Categories Discovery. NeurIPS 2022 - [i21]Fuhai Chen, Rongrong Ji, Chengpeng Dai, Xuri Ge, Shengchuan Zhang, Xiaojing Ma, Yue Gao:
Factored Attention and Embedding for Unstructured-view Topic-related Ultrasound Report Generation. CoRR abs/2203.06458 (2022) - [i20]Yining Zhao, Chao Wen, Zhou Xue, Yue Gao:
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform. CoRR abs/2207.09291 (2022) - [i19]Zizhao Zhang, Yifan Feng, Shihui Ying, Yue Gao:
Deep Hypergraph Structure Learning. CoRR abs/2208.12547 (2022) - [i18]Xinwei Zhang, Jianwen Jiang, Yutong Feng, Zhi-Fan Wu, Xibin Zhao, Hai Wan, Mingqian Tang, Rong Jin, Yue Gao:
Grow and Merge: A Unified Framework for Continuous Categories Discovery. CoRR abs/2210.04174 (2022) - 2021
- [j95]Nan Ma, Deyi Li, Wen He, Yue Deng, Jiahong Li, Yue Gao, Hong Bao, Huan Zhang, Xin-Kai Xu, Yuansheng Liu, Zhixuan Wu, Li Chen:
Future vehicles: interactive wheeled robots. Sci. China Inf. Sci. 64(5) (2021) - [j94]Xibin Zhao, Junjie Zhu, Bingjun Luo, Yue Gao:
Survey on Facial Expression Recognition: History, Applications, and Challenges. IEEE Multim. 28(4): 38-44 (2021) - [j93]Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Bin Song, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen:
Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Anal. 68: 101910 (2021) - [j92]Chenggang Yan, Biao Gong, Yuxuan Wei, Yue Gao:
Deep Multi-View Enhancement Hashing for Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1445-1451 (2021) - [j91]Ding Ruan, Shuyi Ji, Chenggang Yan, Junjie Zhu, Xibin Zhao, Yuedong Yang, Yue Gao, Changqing Zou, Qionghai Dai:
Exploring complex and heterogeneous correlations on hypergraph for the prediction of drug-target interactions. Patterns 2(12): 100390 (2021) - [j90]Jipeng Wu, Haibo Xu, Shengchuan Zhang, Xi Li, Jie Chen, Jiawen Zheng, Yue Gao, Yonghong Tian, Yongsheng Liang, Rongrong Ji:
Joint segmentation and detection of COVID-19 via a sequential region generation network. Pattern Recognit. 118: 108006 (2021) - [j89]Yang Yang, Dandan Fan, Shaoyi Du, Muyi Wang, Badong Chen, Yue Gao:
Point Set Registration With Similarity and Affine Transformations Based on Bidirectional KMPE Loss. IEEE Trans. Cybern. 51(3): 1678-1689 (2021) - [j88]Jun Zhang, Mingxia Liu, Ke Lu, Yue Gao:
Group-Wise Learning for Aurora Image Classification With Multiple Representations. IEEE Trans. Cybern. 51(8): 4112-4124 (2021) - [j87]Weizhi Nie, Yue Zhao, Dan Song, Yue Gao:
DAN: Deep-Attention Network for 3D Shape Recognition. IEEE Trans. Image Process. 30: 4371-4383 (2021) - [j86]Junjie Bai, Biao Gong, Yining Zhao, Fuqiang Lei, Chenggang Yan, Yue Gao:
Multi-Scale Representation Learning on Hypergraph for 3D Shape Retrieval and Recognition. IEEE Trans. Image Process. 30: 5327-5338 (2021) - [j85]Wenji Wang, Qing Xia, Zhiqiang Hu, Zhennan Yan, Zhuowei Li, Yang Wu, Ning Huang, Yue Gao, Dimitris N. Metaxas, Shaoting Zhang:
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation. IEEE Trans. Medical Imaging 40(10): 2629-2641 (2021) - [c85]Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji:
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. AAAI 2021: 1655-1663 - [c84]Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji:
Domain General Face Forgery Detection by Learning to Weight. AAAI 2021: 2638-2646 - [c83]Zizhao Zhang, Jian Liu, Baojuan Li, Yue Gao:
Diagnosis of Childhood Autism Using Multi-modal Functional Connectivity via Dynamic Hypergraph Learning. CICAI 2021: 123-135 - [c82]Xuancheng Zhang, Yutong Feng, Siqi Li, Changqing Zou, Hai Wan, Xibin Zhao, Yandong Guo, Yue Gao:
View-Guided Point Cloud Completion. CVPR 2021: 15890-15899 - [c81]Siqi Li, Yutong Feng, Yipeng Li, Yu Jiang, Changqing Zou, Yue Gao:
Event Stream Super-Resolution via Spatiotemporal Constraint Learning. ICCV 2021: 4460-4469 - [c80]Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji:
ReCU: Reviving the Dead Weights in Binary Neural Networks. ICCV 2021: 5178-5188 - [c79]Biao Li, Qixing Xie, Shaoyi Du, Wenting Cui, Runzhao Yao, Yue Gao, Nanning Zheng:
TAG-Reg: Iterative Accurate Global Registration Algorithm. ICME 2021: 1-6 - [i17]Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji:
ReCU: Reviving the Dead Weights in Binary Neural Networks. CoRR abs/2103.12369 (2021) - [i16]Xuancheng Zhang, Yutong Feng, Siqi Li, Changqing Zou, Hai Wan, Xibin Zhao, Yandong Guo, Yue Gao:
View-Guided Point Cloud Completion. CoRR abs/2104.05666 (2021) - [i15]Yang Hu, Haoxuan You, Zhecan Wang, Zhicheng Wang, Erjin Zhou, Yue Gao:
Graph-MLP: Node Classification without Message Passing in Graph. CoRR abs/2106.04051 (2021) - [i14]Yutong Feng, Jianwen Jiang, Ziyuan Huang, Zhiwu Qing, Xiang Wang, Shiwei Zhang, Mingqian Tang, Yue Gao:
Relation Modeling in Spatio-Temporal Action Localization. CoRR abs/2106.08061 (2021) - [i13]Yutong Feng, Jianwen Jiang, Mingqian Tang, Rong Jin, Yue Gao:
Rethinking supervised pre-training for better downstream transferring. CoRR abs/2110.06014 (2021) - [i12]Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Xinghao Ding, Yongjian Wu, Feiyue Huang, Yue Gao, Rongrong Ji:
Towards Language-guided Visual Recognition via Dynamic Convolutions. CoRR abs/2110.08797 (2021) - 2020
- [j84]Deyi Li, Nan Ma, Yue Gao:
Future vehicles: learnable wheeled robots. Sci. China Inf. Sci. 63(9): 1-8 (2020) - [j83]Shaoyi Du, Guanglin Xu, Sirui Zhang, Xuetao Zhang, Yue Gao, Badong Chen:
Robust rigid registration algorithm based on pointwise correspondence and correntropy. Pattern Recognit. Lett. 132: 91-98 (2020) - [j82]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) - [j81]Zonghui Li, Hai Wan, Yangdong Deng, Xibin Zhao, Yue Gao, Xiaoyu Song, Ming Gu:
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