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Yin Zheng
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2020 – today
- 2024
- [j15]Xin Wen, Liyu Huang, Yin Zheng, Hailin Zhao:
Detection of redundant traffic in large-scale communication networks based on logistic regression. Int. J. Reason. based Intell. Syst. 16(1): 8-15 (2024) - [j14]Jingru Huang, Yong Li
, Xiaotan Pan, Jixiu Wei, Qiongqian Xu
Construction of a Wilms tumor risk model based on machine learning and identification of cuproptosis-related clusters. BMC Medical Informatics Decis. Mak. 24(1): 325 (2024) - [c20]Ying Song
Saxformer: A Time Series Forecasting Framework with Local Interpretability. PEAI 2024: 601-605 - [i21]Tao Yang, Yangming Shi, Yunwen Huang, Feng Chen, Yin Zheng, Lei Zhang:
Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data. CoRR abs/2408.10119 (2024) - 2023
- [j13]Xuefei Ning
A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 7955-7969 (2023) - [c19]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CVPR Workshops 2023: 2248-2258 - [c18]Yin Zheng, Hang Jiang
Fuzzy-Set Qualitative Comparative Analysis (fsQCA) in Xiamen's High-Quality Industrial Development. HCI (29) 2023: 104-117 - 2022
- [j12]Liyu Huang, Chang Liu, Yin Zheng, Hailin Zhao:
An alarm data mining method for operation and maintenance support network based on stream computing. Int. J. Data Min. Bioinform. 27(1/2/3): 13-26 (2022) - [j11]Xiaoyu Liu, Jingying Zhao, Sicong Li, Cai Wei, Shihang Wang
Clarifying real receptor binding site between coronavirus HCoV-HKU1 and 9-O-Ac-Sia based on molecular docking. J. Bioinform. Comput. Biol. 20(1): 2150034:1-2150034:12 (2022) - [j10]Yong Guo
Towards Accurate and Compact Architectures via Neural Architecture Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6501-6516 (2022) - [c17]Xianghong Xu
Diversify Search Results Through Graph Attentive Document Interaction. DASFAA (1) 2022: 632-647 - [i20]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CoRR abs/2210.07634 (2022) - 2021
- [j9]Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang:
FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture. ACM Trans. Design Autom. Electr. Syst. 26(6): 44:1-44:24 (2021) - [i19]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang:
Towards Accurate and Compact Architectures via Neural Architecture Transformer. CoRR abs/2102.10301 (2021) - [i18]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets. CoRR abs/2103.00219 (2021) - 2020
- [j8]Xuefei Ning
Nonparametric Topic Modeling with Neural Inference. Neurocomputing 399: 296-306 (2020) - [j7]Xiaoming Huang
50 FPS Object-Level Saliency Detection via Maximally Stable Region. IEEE Trans. Image Process. 29: 1384-1396 (2020) - [j6]Xiaoshuang Chen
A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding. IEEE Trans. Knowl. Data Eng. 32(6): 1036-1049 (2020) - [c16]Xuefei Ning
A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS. ECCV (13) 2020: 189-204 - [c15]Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao:
Towards Fast Adaptation of Neural Architectures with Meta Learning. ICLR 2020 - [c14]Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. ICML 2020: 3822-3831 - [i17]Xuefei Ning
FTT-NAS: Discovering Fault-Tolerant Neural Architecture. CoRR abs/2003.10375 (2020) - [i16]Xuefei Ning
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS. CoRR abs/2004.01899 (2020) - [i15]Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. CoRR abs/2007.07197 (2020) - [i14]Xuefei Ning, Wenshuo Li, Zixuan Zhou, Tianchen Zhao, Yin Zheng, Shuang Liang, Huazhong Yang, Yu Wang:
A Surgery of the Neural Architecture Evaluators. CoRR abs/2008.03064 (2020)
2010 – 2019
- 2019
- [c13]Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai
Fast Single Image Reflection Suppression via Convex Optimization. CVPR 2019: 8141-8149 - [c12]Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang:
RaFM: Rank-Aware Factorization Machines. ICML 2019: 1132-1140 - [c11]Yin Zheng, Dongping Zhang, Li Yang, Zhihong Zhou:
Fall detection and recognition based on GCN and 2D Pose. ICSAI 2019: 558-562 - [c10]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. NeurIPS 2019: 735-747 - [i13]Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu:
Fast Single Image Reflection Suppression via Convex Optimization. CoRR abs/1903.03889 (2019) - [i12]Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang:
RaFM: Rank-Aware Factorization Machines. CoRR abs/1905.07570 (2019) - [i11]Jiaxing Wang, Yin Zheng, Xiaoshuang Chen, Junzhou Huang, Jian Cheng:
Semi-supervised Learning with Contrastive Predicative Coding. CoRR abs/1905.10514 (2019) - [i10]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang:
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. CoRR abs/1910.14488 (2019) - 2018
- [j5]Xiaoming Huang
A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation. IEEE Signal Process. Lett. 25(8): 1126-1130 (2018) - [c9]Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang:
Collaborative Filtering With User-Item Co-Autoregressive Models. AAAI 2018: 2175-2182 - [i9]Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang:
Nonparametric Topic Modeling with Neural Inference. CoRR abs/1806.06583 (2018) - 2017
- [j4]Stanislas Lauly, Yin Zheng, Alexandre Allauzen, Hugo Larochelle:
Document Neural Autoregressive Distribution Estimation. J. Mach. Learn. Res. 18: 113:1-113:24 (2017) - [c8]Zhuxi Jiang, Yin Zheng, Huachun Tan, Bangsheng Tang, Hanning Zhou:
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering. IJCAI 2017: 1965-1972 - 2016
- [j3]Yin Zheng, Yu-Jin Zhang, Hugo Larochelle:
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1056-1069 (2016) - [c7]Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou:
A Neural Autoregressive Approach to Collaborative Filtering. ICML 2016: 764-773 - [c6]Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville:
Dynamic Capacity Networks. ICML 2016: 2549-2558 - [c5]Yin Zheng, Cailiang Liu, Bangsheng Tang, Hanning Zhou:
Neural Autoregressive Collaborative Filtering for Implicit Feedback. DLRS@RecSys 2016: 2-6 - [i8]Stanislas Lauly, Yin Zheng, Alexandre Allauzen, Hugo Larochelle:
Document Neural Autoregressive Distribution Estimation. CoRR abs/1603.05962 (2016) - [i7]Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou:
A Neural Autoregressive Approach to Collaborative Filtering. CoRR abs/1605.09477 (2016) - [i6]Yin Zheng, Cailiang Liu, Bangsheng Tang, Hanning Zhou:
Neural Autoregressive Collaborative Filtering for Implicit Feedback. CoRR abs/1606.07674 (2016) - [i5]Zhuxi Jiang, Yin Zheng, Huachun Tan, Bangsheng Tang, Hanning Zhou:
Variational Deep Embedding: A Generative Approach to Clustering. CoRR abs/1611.05148 (2016) - [i4]Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Cailiang Liu, Hanning Zhou, Bo Zhang:
Collaborative Filtering with User-Item Co-Autoregressive Models. CoRR abs/1612.07146 (2016) - 2015
- [j2]Yin Zheng, Richard S. Zemel, Yu-Jin Zhang, Hugo Larochelle:
A Neural Autoregressive Approach to Attention-based Recognition. Int. J. Comput. Vis. 113(1): 67-79 (2015) - [c4]Yin Zheng, Bin Shen, Xiaofeng Yang, Wanli Ma, Bao-Di Liu, Yu-Jin Zhang:
A Locality Preserving Approach for Kernel PCA. ICIG (1) 2015: 121-135 - [i3]Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville:
Dynamic Capacity Networks. CoRR abs/1511.07838 (2015) - 2014
- [j1]Meiqing Zhang, Linmi Tao, Yin Zheng, Yangzhou Du:
A Failure-Aware Explicit Shape Regression Model for Facial Landmark Detection in Video. IEEE Signal Process. Lett. 21(2): 244-248 (2014) - [c3]Yin Zheng, Yu-Jin Zhang, Hugo Larochelle:
Topic Modeling of Multimodal Data: An Autoregressive Approach. CVPR 2014: 1370-1377 - [i2]Yin Zheng, Yu-Jin Zhang, Hugo Larochelle:
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data. CoRR abs/1409.3970 (2014) - 2013
- [i1]Yin Zheng, Yu-Jin Zhang, Hugo Larochelle:
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation. CoRR abs/1305.5306 (2013) - 2012
- [c2]Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Yin Zheng:
Discriminant sparse coding for image classification. ICASSP 2012: 2193-2196 - [c1]Yin Zheng, Yu-Jin Zhang, Xue Li, Bao-Di Liu:
Action recognition in still images using a combination of human pose and context information. ICIP 2012: 785-788
Coauthor Index
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last updated on 2024-12-02 21:31 CET by the dblp team
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