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2020 – today
- 2023
[j8]Ruining Tang, Zhenyu Liu, Yangguang Li, Yiguo Song, Hui Liu, Qide Wang, Jing Shao, Guifang Duan
, Jianrong Tan:
Task-balanced distillation for object detection. Pattern Recognit. 137: 109320 (2023)- [i20]Huan Peng, Fenggang Liu, Yangguang Li, Bin Huang, Jing Shao, Nong Sang, Changxin Gao:
Parallel Reasoning Network for Human-Object Interaction Detection. CoRR abs/2301.03510 (2023) - [i19]Bin Huang, Yangguang Li, Enze Xie, Feng Liang, Luya Wang, Mingzhu Shen, Fenggang Liu, Tianqi Wang, Ping Luo, Jing Shao:
Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View Perception. CoRR abs/2301.07870 (2023) - [i18]Yangguang Li, Bin Huang, Zeren Chen, Yufeng Cui, Feng Liang, Mingzhu Shen, Fenggang Liu, Enze Xie, Lu Sheng, Wanli Ouyang, Jing Shao:
Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline. CoRR abs/2301.12511 (2023) - [i17]Fenggang Liu, Yangguang Li, Feng Liang, Jilan Xu, Bin Huang, Jing Shao:
Mask Hierarchical Features For Self-Supervised Learning. CoRR abs/2304.00218 (2023) - 2022
- [j7]Yangguang Li, Zhichao Song, Bin Wu, Bailang Yu, Qiusheng Wu, Yuchen Hong, Shaoyang Liu, Jianping Wu:
Evaluating the Ability of NOAA-20 Monthly Composite Data for Socioeconomic Indicators Estimation and Urban Area Extraction. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1837-1845 (2022) - [c12]Lei Cui, Yangguang Li, Xin Lu, Dong An, Fenggang Liu:
Neighbor Regularized Bayesian Optimization for Hyperparameter Optimization. BMVC 2022: 479 - [c11]Hao Wang, Yangguang Li, Zhen Huang, Yong Dou:
IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification. COLING 2022: 1412-1421 - [c10]Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu:
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies. ECCV (11) 2022: 536-552 - [c9]Hao Wang, Yixin Cao, Yangguang Li, Zhen Huang, Kun Wang, Jing Shao:
R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference. EMNLP 2022: 3122-3134 - [c8]Xingrun Xing, Yalong Jiang, Baochang Zhang, Wenrui Ding, Yangguang Li, Hongguang Li, Huan Peng:
Binary Dense Predictors for Human Pose Estimation Based on Dynamic Thresholds and Filtering. ICASSP 2022: 1705-1709 - [c7]Lei Cui, Huan Peng, Yangguang Li, Chuming Li, Xingrun Xing:
Equal Loss: A Simple Loss Function for Noise Robust Learning. ICASSP 2022: 1950-1954 - [c6]Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, Junjie Yan:
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm. ICLR 2022 - [c5]Luya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao:
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training. IJCAI 2022: 1437-1443 - [c4]Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang:
A Mixture Of Surprises for Unsupervised Reinforcement Learning. NeurIPS 2022 - [i16]Hao Wang, Yangguang Li, Zhen Huang, Yong Dou, Lingpeng Kong, Jing Shao:
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples. CoRR abs/2201.05979 (2022) - [i15]Luya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao:
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training. CoRR abs/2201.06857 (2022) - [i14]Qingsong Zhao, Zhipeng Zhou, Shuguang Dou, Yangguang Li, Rui Lu, Yin Wang, Cairong Zhao:
Rethinking the Zigzag Flattening for Image Reading. CoRR abs/2202.10240 (2022) - [i13]Yufeng Cui, Lichen Zhao, Feng Liang, Yangguang Li, Jing Shao:
Democratizing Contrastive Language-Image Pre-training: A CLIP Benchmark of Data, Model, and Supervision. CoRR abs/2203.05796 (2022) - [i12]Feng Liang, Yangguang Li, Diana Marculescu:
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners. CoRR abs/2205.14540 (2022) - [i11]Dong An, Zun Wang, Yangguang Li, Yi Wang, Yicong Hong, Yan Huang, Liang Wang, Jing Shao:
1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022). CoRR abs/2206.11610 (2022) - [i10]Jingjie Shang, Kunchang Li, Kaibin Tian, Haisheng Su, Yangguang Li:
MVP: Robust Multi-View Practice for Driving Action Localization. CoRR abs/2207.02042 (2022) - [i9]Ruining Tang, Zhenyu Liu, Yangguang Li, Yiguo Song, Hui Liu, Qide Wang, Jing Shao, Guifang Duan, Jianrong Tan:
Task-Balanced Distillation for Object Detection. CoRR abs/2208.03006 (2022) - [i8]Hao Wang, Yangguang Li, Zhen Huang, Yong Dou:
IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification. CoRR abs/2208.14001 (2022) - [i7]Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu:
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies. CoRR abs/2209.01404 (2022) - [i6]Lei Cui, Yangguang Li, Xin Lu, Dong An, Fenggang Liu:
Neighbor Regularized Bayesian Optimization for Hyperparameter Optimization. CoRR abs/2210.03481 (2022) - [i5]Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang:
A Mixture of Surprises for Unsupervised Reinforcement Learning. CoRR abs/2210.06702 (2022) - [i4]Hao Wang, Yixin Cao, Yangguang Li, Zhen Huang, Kun Wang, Jing Shao:
R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference. CoRR abs/2210.12328 (2022) - [i3]Dong An, Yuankai Qi, Yangguang Li, Yan Huang, Liang Wang, Tieniu Tan, Jing Shao:
BEVBert: Topo-Metric Map Pre-training for Language-guided Navigation. CoRR abs/2212.04385 (2022) - 2021
- [i2]Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, Junjie Yan:
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm. CoRR abs/2110.05208 (2021) - [i1]Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao:
INTERN: A New Learning Paradigm Towards General Vision. CoRR abs/2111.08687 (2021) - 2020
- [j6]Yangguang Li, Zhen Ming (Jack) Jiang, Heng Li, Ahmed E. Hassan, Cheng He, Ruirui Huang, Zhengda Zeng, Mian Wang, Pinan Chen:
Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform: An AIOps Solution. ACM Trans. Softw. Eng. Methodol. 29(2): 13:1-13:24 (2020)
2010 – 2019
- 2019
- [j5]Yangguang Li, Zhen Ming (Jack) Jiang:
Assessing and optimizing the performance impact of the just-in-time configuration parameters - a case study on PyPy. Empir. Softw. Eng. 24(4): 2323-2363 (2019) - [c3]Jia Li, Ruiqi Li, Chensheng Wang, Yangguang Li:
Comparative Research of FPN and MTCN in Face Attribute Recognition. AIAM (IEEE) 2019: 539-543 - 2018
- [j4]Yangguang Li, Ning Han, Xuejian Li, Huaqiang Du, Fangjie Mao, Lu Cui, Tengyan Liu, Luqi Xing:
Spatiotemporal Estimation of Bamboo Forest Aboveground Carbon Storage Based on Landsat Data in Zhejiang, China. Remote. Sens. 10(6): 898 (2018) - [j3]Huaqiang Du, Fangjie Mao, Xuejian Li, Guomo Zhou, Xiaojun Xu, Ning Han, Shaobo Sun, Guolong Gao, Lu Cui, Yangguang Li, Dien Zhu, Yuli Liu, Liang Chen, Weiliang Fan, Pingheng Li, Yongjun Shi, Yufeng Zhou:
Mapping Global Bamboo Forest Distribution Using Multisource Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(5): 1458-1471 (2018) - [j2]Huaqiang Du, Fangjie Mao, Guomo Zhou, Xuejian Li, Xiaojun Xu, Hongli Ge, Lu Cui, Yuli Liu, Dien Zhu, Yangguang Li:
Estimating and Analyzing the Spatiotemporal Pattern of Aboveground Carbon in Bamboo Forest by Combining Remote Sensing Data and Improved BIOME-BGC Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(7): 2282-2295 (2018) - 2017
- [j1]Liang Yuan, Xin Jin, Yangguang Li, Chun Yuan:
Depth map super-resolution via low-resolution depth guided joint trilateral up-sampling. J. Vis. Commun. Image Represent. 46: 280-291 (2017) - 2014
- [c2]Yangguang Li, Lei Zhang, Yongbing Zhang, Huiming Xuan, Qionghai Dai:
Depth map super-resolution via iterative joint-trilateral-upsampling. VCIP 2014: 386-389 - 2013
- [c1]Yuqing Lu, Lei Zhang, Yudong Xiao, Yangguang Li:
Simultaneously detecting fake reviews and review spammers using factor graph model. WebSci 2013: 225-233
Coauthor Index
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last updated on 2023-05-12 20:54 CEST by the dblp team
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