Kuan Liu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 31

Top Topics

Personalized Ranking

Gene Expression

Top Venues

Publications

Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Kuan Liu, Peibo Ma
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Hongtao Hou, Mingzhen Guo, Wei Wang, Kuan Liu, Zijiang Luo
Improved Lightweight Head Detection Based on GhostNet-SSD. Neural Process. Lett. 56 (2) (2024)
Chenyu Zhang, Haohao Qin, Shiying Sun, Yi Pan, Kuan Liu, Tao Li, Xiaoguang Zhao
JPMDP: Joint base placement and multi-configuration path planning for 3D surface disinfection with a UV-C robotic system. Robotics Auton. Syst. 174 (2024)
Kuan Liu, Yanmin Zhu, Zhaobo Wang, Ke Wang, Gang Zhou
Axis Order Invariance Learned from Point Clouds. ICASSP (2024)
Kuan Liu, Yanmin Zhu, Zhaobo Wang, Ke Wang, Gang Zhou
Rethinking Normals: Direction Guided Point Cloud Recognition. ICASSP (2024)
Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu
Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation. DASFAA (2) (2022)
Kuan Liu, Haiyuan Liu, Dongyan Sun, Lei Zhang
Network Inference from Gene Expression Data with Distance Correlation and Network Topology Centrality. Algorithms 14 (2) (2021)
Xing Rao, Lin Zhao, Lukui Xu, Yuhang Wang, Kuan Liu, Ying Wang, George Y. Chen, Tongyu Liu, Yiping Wang
Review of Optical Humidity Sensors. Sensors 21 (23) (2021)
Xiangsheng Yi, Zhifeng Shi, Hu Zhao, Ye Fu, Shangjie Ma, Kuan Liu
Research on optimization of crop planting area estimation from remote sensing data. Agro-Geoinformatics (2021)
Xin Huang, Xiaoya Dong, Jing Ma, Kuan Liu, Shibbir Ahmed, Jinlong Lin, Baijing Qiu
The Improved A* Obstacle Avoidance Algorithm for the Plant Protection UAV with Millimeter Wave Radar and Monocular Camera Data Fusion. Remote. Sens. 13 (17) (2021)
Kuan Liu, Chun Wang, Weizhang Wang, Yujie Chen, Huicheng Wu
Linear Power Flow Calculation of Distribution Networks With Distributed Generation. IEEE Access 7 (2019)
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
Kernel Approximation Methods for Speech Recognition. J. Mach. Learn. Res. 20 (2019)
Kuan Liu, Aurélien Bellet
Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds. Neurocomputing 333 (2019)
Kuan Liu, Xing Shi, Prem Natarajan
A Sequential Embedding Approach for Item Recommendation with Heterogeneous Attributes. CoRR (2018)
Kuan Liu, Aurélien Bellet
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds. CoRR (2018)
Hongpeng Liu, Zichao Zhou, Kuan Liu, Wei Wang
An Improved Y-Source Inverter with Continuous Input Current. ISIE (2018)
Hongpeng Liu, Yan Ran, Kuan Liu, Wei Wang, Dianguo Xu
A Modified Single-Phase Transformerless Y-Source PV Grid-Connected Inverter. IEEE Access 6 (2018)
Kuan Liu, Prem Natarajan
A Batch Learning Framework for Scalable Personalized Ranking. AAAI (2018)
Kuan Liu, Yanen Li, Ning Xu, Prem Natarajan
Learn to Combine Modalities in Multimodal Deep Learning. CoRR (2018)
Kuan Liu, Prem Natarajan
WMRB: Learning to Rank in a Scalable Batch Training Approach. CoRR (2017)
Kuan Liu, Xing Shi, Prem Natarajan
Sequential Heterogeneous Attribute Embedding for Item Recommendation. ICDM Workshops (2017)
Kuan Liu, Prem Natarajan
WMRB: Learning to Rank in a Scalable Batch Training Approach. RecSys Posters (2017)
Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel J. Hsu, Brian Kingsbury, Michael Picheny, Fei Sha
Kernel Approximation Methods for Speech Recognition. CoRR (2017)
Kuan Liu, Prem Natarajan
A Batch Learning Framework for Scalable Personalized Ranking. CoRR (2017)
Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan
Temporal Learning and Sequence Modeling for a Job Recommender System. CoRR (2016)
Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan
Temporal learning and sequence modeling for a job recommender system. RecSys Challenge (2016)
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. CoRR (2016)
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
A comparison between deep neural nets and kernel acoustic models for speech recognition. ICASSP (2016)
Tianxu Zhang, Gang Zhou, Chao Zhang, Gaofei Li, Jianchong Chen, Kuan Liu
A novel temporal-spatial variable scale algorithm for detecting multiple moving objects. IEEE Trans. Aerosp. Electron. Syst. 51 (1) (2015)
Kuan Liu, Aurélien Bellet, Fei Sha
Similarity Learning for High-Dimensional Sparse Data. AISTATS (2015)
Mingzheng Wang, Kuan Liu, Tsan-Ming Choi, Xiaohang Yue
Effects of Carbon Emission Taxes on Transportation Mode Selections and Social Welfare. IEEE Trans. Syst. Man Cybern. Syst. 45 (11) (2015)
Kuan Liu, Aurélien Bellet, Fei Sha
Similarity Learning for High-Dimensional Sparse Data. CoRR (2014)
Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. CoRR (2014)
Soravit Changpinyo, Kuan Liu, Fei Sha
Similarity Component Analysis. NIPS (2013)