Yin Zheng

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 45

Top Topics

Encoding Scheme

Collaborative Filtering

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

IEEE Signal Process. Lett.

Publications

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) (2024)
Ying Song, Danjing Li, Kai Sun, Yin Zheng
Saxformer: A Time Series Forecasting Framework with Local Interpretability. PEAI (2024)
Xuefei Ning, Yin Zheng, Zixuan Zhou, Tianchen Zhao, Huazhong Yang, Yu Wang
A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CVPR Workshops (2023)
Yin Zheng, Hang Jiang, Yuyang Lin
Fuzzy-Set Qualitative Comparative Analysis (fsQCA) in Xiamen's High-Quality Industrial Development. HCI (29) (2023)
Xiaoyu Liu, Jingying Zhao, Sicong Li, Cai Wei, Shihang Wang, Xuanyu Xu, Yin Zheng, Xiangyu Deng, Wenliang Yuan, Xiaomin Zeng, Sihua Peng
Clarifying real receptor binding site between coronavirus HCoV-HKU1 and 9-O-Ac-Sia based on molecular docking. J. Bioinform. Comput. Biol. 20 (1) (2022)
Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CoRR (2022)
Xianghong Xu, Kai Ouyang, Yin Zheng, Yanxiong Lu, Hai-Tao Zheng, Hong-Gee Kim
Diversify Search Results Through Graph Attentive Document Interaction. DASFAA (1) (2022)
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. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
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) (2022)
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 (2021)
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) (2021)
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 (2021)
Xiaoshuang Chen, Yin Zheng, Peilin Zhao, Zhuxi Jiang, Wenye Ma, Junzhou Huang
A Generalized Locally Linear Factorization Machine with Supervised Variational Encoding. IEEE Trans. Knowl. Data Eng. 32 (6) (2020)
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)
Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS. CoRR (2020)
Xuefei Ning, Wenshuo Li, Zixuan Zhou, Tianchen Zhao, Yin Zheng, Shuang Liang, Huazhong Yang, Yu Wang
A Surgery of the Neural Architecture Evaluators. CoRR (2020)
Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang
FTT-NAS: Discovering Fault-Tolerant Neural Architecture. CoRR (2020)
Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang, Peilin Zhao
Nonparametric Topic Modeling with Neural Inference. Neurocomputing 399 (2020)
Xiaoming Huang, Yin Zheng, Junzhou Huang, Yu-Jin Zhang
50 FPS Object-Level Saliency Detection via Maximally Stable Region. IEEE Trans. Image Process. 29 (2020)
Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang
A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS. ECCV (13) (2020)
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 (2020)
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)
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang
NAT: Neural Architecture Transformer for Accurate and Compact Architectures. CoRR (2019)
Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu
Fast Single Image Reflection Suppression via Convex Optimization. CVPR (2019)
Jiaxing Wang, Yin Zheng, Xiaoshuang Chen, Junzhou Huang, Jian Cheng
Semi-supervised Learning with Contrastive Predicative Coding. CoRR (2019)
Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang
RaFM: Rank-Aware Factorization Machines. ICML (2019)
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)
Yin Zheng, Dongping Zhang, Li Yang, Zhihong Zhou
Fall detection and recognition based on GCN and 2D Pose. ICSAI (2019)
Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu
Fast Single Image Reflection Suppression via Convex Optimization. CoRR (2019)
Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang
RaFM: Rank-Aware Factorization Machines. CoRR (2019)
Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang
Nonparametric Topic Modeling with Neural Inference. CoRR (2018)
Xiaoming Huang, Yin Zheng, Junzhou Huang, Yu-Jin Zhang
A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation. IEEE Signal Process. Lett. 25 (8) (2018)
Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang
Collaborative Filtering With User-Item Co-Autoregressive Models. AAAI (2018)
Stanislas Lauly, Yin Zheng, Alexandre Allauzen, Hugo Larochelle
Document Neural Autoregressive Distribution Estimation. J. Mach. Learn. Res. 18 (2017)
Zhuxi Jiang, Yin Zheng, Huachun Tan, Bangsheng Tang, Hanning Zhou
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering. IJCAI (2017)
Zhuxi Jiang, Yin Zheng, Huachun Tan, Bangsheng Tang, Hanning Zhou
Variational Deep Embedding: A Generative Approach to Clustering. CoRR (2016)
Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou
A Neural Autoregressive Approach to Collaborative Filtering. CoRR (2016)
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) (2016)
Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Cailiang Liu, Hanning Zhou, Bo Zhang
Collaborative Filtering with User-Item Co-Autoregressive Models. CoRR (2016)
Stanislas Lauly, Yin Zheng, Alexandre Allauzen, Hugo Larochelle
Document Neural Autoregressive Distribution Estimation. CoRR (2016)
Yin Zheng, Cailiang Liu, Bangsheng Tang, Hanning Zhou
Neural Autoregressive Collaborative Filtering for Implicit Feedback. DLRS@RecSys (2016)
Yin Zheng, Cailiang Liu, Bangsheng Tang, Hanning Zhou
Neural Autoregressive Collaborative Filtering for Implicit Feedback. CoRR (2016)
Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville
Dynamic Capacity Networks. ICML (2016)
Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou
A Neural Autoregressive Approach to Collaborative Filtering. ICML (2016)
Amjad Almahairi, Nicolas Ballas, Tim Cooijmans, Yin Zheng, Hugo Larochelle, Aaron C. Courville
Dynamic Capacity Networks. CoRR (2015)
Yin Zheng, Richard S. Zemel, Yu-Jin Zhang, Hugo Larochelle
A Neural Autoregressive Approach to Attention-based Recognition. Int. J. Comput. Vis. 113 (1) (2015)
Yin Zheng, Bin Shen, Xiaofeng Yang, Wanli Ma, Bao-Di Liu, Yu-Jin Zhang
A Locality Preserving Approach for Kernel PCA. ICIG (1) (2015)
Yin Zheng, Yu-Jin Zhang, Hugo Larochelle
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data. CoRR (2014)
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) (2014)
Yin Zheng, Yu-Jin Zhang, Hugo Larochelle
Topic Modeling of Multimodal Data: An Autoregressive Approach. CVPR (2014)
Yin Zheng, Yu-Jin Zhang, Hugo Larochelle
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation CoRR (2013)
Bao-Di Liu, Yu-Xiong Wang, Yu-Jin Zhang, Yin Zheng
Discriminant sparse coding for image classification. ICASSP (2012)
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)