Bin Liu

According to our database, Bin Liu authored at least 29 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning spatial-temporal feature with graph product.

Zhuo Tan, Yifan Zhu, Bin Liu

Signal Process., 2023

Autistic Spectrum Disorders Diagnose with Graph Neural Networks.

Lu Wei, Bin Liu, Jiujun He, Manxue Zhang, Yi Huang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Asymmetric Self-Supervised Graph Neural Networks.

Zhuo Tan, Bin Liu, Guosheng Yin

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Domain adaptation with feature and label adversarial networks.

Peng Zhao, Wenhua Zang, Bin Liu, Zhao Kang, Kun Bai, Kaizhu Huang, Zenglin Xu

Neurocomputing, 2021

Asymmetric Graph Representation Learning.

Zhuo Tan, Bin Liu, Guosheng Yin

CoRR, 2021

2020

Learning robust word representation over a semantic manifold.

Liyuan Zheng, Yajie Hu, Bin Liu, Wei Deng

Knowl. Based Syst., 2020

Two birds with one stone: Transforming and generating facial images with iterative GAN.

Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, Zenglin Xu

Neurocomputing, 2020

Modeling for Professional Athletes' Social Networks Based on Statistical Machine Learning.

Qian Huang, Sai-Fu Fung, Bin Liu, Ningshe Zhao, Zhiyong Zhang, Qiurong Wang, Xiaoli Zhang, Yang Xun, Xiaoyu Ge, Jianlan Ding

IEEE Access, 2020

Chinese Document Classification with Bi-directional Convolutional Language Model.

Bin Liu, Guosheng Yin

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Human outline keypoints detecting via global and grouping strategy.

Dan Ma, Jie Xu, Xiyu Qiao, Bin Liu, Yue Wu

Proceedings of the HPCCT & BDAI 2020: 4th High Performance Computing and Cluster Technologies Conference & 3rd International Conference on Big Data and Artificial Intelligence, 2020

Coarse-To-Fine Framework For Music Generation via Generative Adversarial Networks.

Dan Ma, Bin Liu, Xiyu Qiao, Danni Cao, Guosheng Yin

Proceedings of the HPCCT & BDAI 2020: 4th High Performance Computing and Cluster Technologies Conference & 3rd International Conference on Big Data and Artificial Intelligence, 2020

Learning distributed sentence vectors with bi-directional 3D convolutions.

Bin Liu, Liang Wang, Guosheng Yin

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Variational Random Function Model for Network Modeling.

Zenglin Xu, Bin Liu, Shandian Zhe, Haoli Bai, Zihan Wang, Jennifer Neville

IEEE Trans. Neural Networks Learn. Syst., 2019

Text classification with pixel embedding.

Bin Liu, Guosheng Yin, Wenbin Du

CoRR, 2019

2018

Manifold regularized matrix completion for multi-label learning with ADMM.

Bin Liu, Yingming Li, Zenglin Xu

Neural Networks, 2018

NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition.

Bin Liu, Lirong He, Yingming Li, Shandian Zhe, Zenglin Xu

Cogn. Comput., 2018

Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition.

Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, Zenglin Xu

Cogn. Comput., 2018

2017

Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs.

Dan Ma, Bin Liu, Zhao Kang, Jianke Zhu, Zenglin Xu

CoRR, 2017

Link prediction by exploiting network formation games in exchangeable graphs.

Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo, Zenglin Xu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Learning from semantically dependent multi-tasks.

Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Distributed Consensus Control of Multi-USV Systems.

Bin Liu, Hai-Tao Zhang, Yue Wu, Binbin Hu

Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

Gene functional annotation via matrix completion.

Bin Liu, Dan Ma, Chunmei Ma, Shuang Wu

Proceedings of the IEEE International Conference on Communications, 2017

Integrating supply and demand chains in personalized recommendation via chain-coupled tensor factorization.

Qianyu Jiang, Xiutao Shi, Guangxi Li, Bin Liu, Lei Wu, Shijun Liu

Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

2016

Manifold regularized matrix completion for multilabel classification.

Bin Liu, Zenglin Xu, Shuang Wu, Fei Wang

Pattern Recognit. Lett., 2016

Representation Learning from Time Labelled Heterogeneous Data for Mobile Crowdsensing.

Chunmei Ma, Qing Zhu, Shuang Wu, Bin Liu

Mob. Inf. Syst., 2016

Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network.

Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2014

Parking Backbone: Toward Efficient Overlay Routing in VANETs.

Jinqi Zhu, Ming Liu, Yonggang Wen, Chunmei Ma, Bin Liu

Int. J. Distributed Sens. Networks, 2014

Understanding Multiple Features with Hypercube for Distinguishing Uncertain Objects in Mobile Crowdsensing.

Bin Liu, Chao Song, Ming Liu, Nianbo Liu, Jinqi Zhu

Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

Distinguishing uncertain objects with multiple features for crowdsensing.

Bin Liu, Chao Song, Ming Liu, Nianbo Liu

Proceedings of the IEEE Global Communications Conference, 2014