Kuan Liu

According to our database, Kuan Liu authored at least 24 papers between 2013 and 2024.

Collaborative distances:

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

2024

Improved Lightweight Head Detection Based on GhostNet-SSD.

Hongtao Hou, Mingzhen Guo, Wei Wang, Kuan Liu, Zijiang Luo

Neural Process. Lett., April, 2024

Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation.

Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Kuan Liu, Peibo Ma

ACM Trans. Inf. Syst., March, 2024

2022

Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation.

Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu

Proceedings of the Database Systems for Advanced Applications, 2022

2021

Review of Optical Humidity Sensors.

Xing Rao, Lin Zhao, Lukui Xu, Yuhang Wang, Kuan Liu, Ying Wang, George Y. Chen, Tongyu Liu, Yiping Wang

Sensors, 2021

The Improved A* Obstacle Avoidance Algorithm for the Plant Protection UAV with Millimeter Wave Radar and Monocular Camera Data Fusion.

Xin Huang, Xiaoya Dong, Jing Ma, Kuan Liu, Shibbir Ahmed, Jinlong Lin, Baijing Qiu

Remote. Sens., 2021

Network Inference from Gene Expression Data with Distance Correlation and Network Topology Centrality.

Kuan Liu, Haiyuan Liu, Dongyan Sun, Lei Zhang

Algorithms, 2021

Research on optimization of crop planting area estimation from remote sensing data.

Xiangsheng Yi, Zhifeng Shi, Hu Zhao, Ye Fu, Shangjie Ma, Kuan Liu

Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

2019

Kernel Approximation Methods for Speech Recognition.

Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha

J. Mach. Learn. Res., 2019

Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds.

Kuan Liu, Aurélien Bellet

Neurocomputing, 2019

Linear Power Flow Calculation of Distribution Networks With Distributed Generation.

Kuan Liu, Chun Wang, Weizhang Wang, Yujie Chen, Huicheng Wu

IEEE Access, 2019

2018

Learn to Combine Modalities in Multimodal Deep Learning.

Kuan Liu, Yanen Li, Ning Xu, Prem Natarajan

CoRR, 2018

A Sequential Embedding Approach for Item Recommendation with Heterogeneous Attributes.

Kuan Liu, Xing Shi, Prem Natarajan

CoRR, 2018

A Modified Single-Phase Transformerless Y-Source PV Grid-Connected Inverter.

Hongpeng Liu, Yan Ran, Kuan Liu, Wei Wang, Dianguo Xu

IEEE Access, 2018

An Improved Y-Source Inverter with Continuous Input Current.

Hongpeng Liu, Zichao Zhou, Kuan Liu, Wei Wang

Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018

A Batch Learning Framework for Scalable Personalized Ranking.

Kuan Liu, Prem Natarajan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

WMRB: Learning to Rank in a Scalable Batch Training Approach.

Kuan Liu, Prem Natarajan

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Sequential Heterogeneous Attribute Embedding for Item Recommendation.

Kuan Liu, Xing Shi, Prem Natarajan

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

Temporal learning and sequence modeling for a job recommender system.

Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan

Proceedings of the 2016 Recommender Systems Challenge, 2016

A comparison between deep neural nets and kernel acoustic models for speech recognition.

Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Effects of Carbon Emission Taxes on Transportation Mode Selections and Social Welfare.

Mingzheng Wang, Kuan Liu, Tsan-Ming Choi, Xiaohang Yue

IEEE Trans. Syst. Man Cybern. Syst., 2015

A novel temporal-spatial variable scale algorithm for detecting multiple moving objects.

Tianxu Zhang, Gang Zhou, Chao Zhang, Gaofei Li, Jianchong Chen, Kuan Liu

IEEE Trans. Aerosp. Electron. Syst., 2015

Similarity Learning for High-Dimensional Sparse Data.

Kuan Liu, Aurélien Bellet, Fei Sha

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets.

Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha

CoRR, 2014

2013

Similarity Component Analysis.

Soravit Changpinyo, Kuan Liu, Fei Sha

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013