Songbin Liu

According to our database, Songbin Liu authored at least 15 papers between 2013 and 2026.

Collaborative distances:

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

2026

MBD: A Model-Based Debiasing Framework Across User, Content, and Model Dimensions.

Yuantong Li, Lei Yuan, Zhihao Zheng, Weimiao Wu, Songbin Liu, Jeong Min Lee, Ali Selman Aydin, Shaofeng Deng, Junbo Chen, Xinyi Zhang, Hongjing Xia, Sam Fieldman, Matthew Kosko, Wei Fu, Du Zhang, Peiyu Yang, Albert Jin Chung, Xianlei Qiu, Miao Yu, Zhongwei Teng, Hao Chen, Sunny Baek, Hui Tang, Yang Lv, Renze Wang, Qifan Wang, Zhan Li, Tiantian Xu, Peng Wu, Ji Liu

CoRR, March, 2026

Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Freshness in Large-Scale Recommenders.

Ziliang Zhao, Bi Xue, Emma Lin, Mengjiao Zhou, Kaustubh Vartak, Shakhzod Ali-Zade, Tianqi Lu, Tao Li, Bin Kuang, Rui Jian, Bin Wen, Dennis van der Staay, Yixin Bao, Eddy Li, Chao Deng, Songbin Liu, Qifan Wang, Kai Ren

CoRR, February, 2026

Orthogonal Approximate Message Passing Algorithms for Rectangular Spiked Matrix Models with Rotationally Invariant Noise.

Haohua Chen, Songbin Liu, Junjie Ma

CoRR, February, 2026

2025

Orthogonal Approximate Message Passing with Optimal Spectral Initializations for Rectangular Spiked Matrix Models.

Haohua Chen, Songbin Liu, Junjie Ma

CoRR, December, 2025

Prediction of postoperative visual cognitive impairment using graph theory and machine learning based on resting-state brain networks.

Songbin Liu, Zhaoshun Jiang, Pei Ye, Feidong Lv, Fei Tao, Yuxi Cai, Lina Yi, Shihong Li, Guoqing Wu, Jun Zhang, Weidong Gu

BMC Medical Imaging, December, 2025

2024

Epinet for Content Cold Start.

Hong Jun Jeon, Songbin Liu, Yuantong Li, Jie Lyu, Hunter Song, Ji Liu, Peng Wu, Zheqing Zhu

CoRR, 2024

Unifying AMP Algorithms for Rotationally-Invariant Models.

Songbin Liu, Junjie Ma

CoRR, 2024

Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise.

Rishabh Dudeja, Songbin Liu, Junjie Ma

CoRR, 2024

2022

Decentralized Channel Estimation for the Uplink of Grant-Free Massive Machine-Type Communications.

Songbin Liu, Haochuan Zhang, Qiuyun Zou

IEEE Trans. Commun., 2022

2021

Design and ARM-Based Implementation of Bitstream-Oriented Chaotic Encryption Scheme for H.264/AVC Video.

Zirui Zhang, Ping Chen, Weijun Li, Xiaoming Xiong, Qianxue Wang, Heping Wen, Songbin Liu, Shuting Cai

Entropy, 2021

2016

Czip: A Fast Lossless Compression Algorithm for Climate Data.

Xiaomeng Huang, Yufang Ni, Dexun Chen, Songbin Liu, Haohuan Fu, Guangwen Yang

Int. J. Parallel Program., 2016

2015

Data Reduction Analysis for Climate Data Sets.

Songbin Liu, Xiaomeng Huang, Haohuan Fu, Guangwen Yang, Zhenya Song

Int. J. Parallel Program., 2015

2014

A High Performance Compression Method for Climate Data.

Songbin Liu, Xiaomeng Huang, Yufang Ni, Haohuan Fu, Guangwen Yang

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2014

2013

Optimize Multidimensional Arrays Queries with Heterogeneous Replica Method.

Meiqi Zhu, Xiaomeng Huang, Songbin Liu, Haohuan Fu, Qiming Fang, Guangwen Yang

Proceedings of the IEEE Eighth International Conference on Networking, 2013

Understanding Data Characteristics and Access Patterns in a Cloud Storage System.

Songbin Liu, Xiaomeng Huang, Haohuan Fu, Guangwen Yang

Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013