Jiabin Liu

According to our database, Jiabin Liu authored at least 46 papers between 2006 and 2024.

Collaborative distances:

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

2024

Cardinality estimation using normalizing flow.

Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li

VLDB J., 2024

Easy-Net: A Lightweight Building Extraction Network Based on Building Features.

Huaigang Huang, Jiabin Liu, Ruisheng Wang

IEEE Trans. Geosci. Remote. Sens., 2024

2023

LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions.

Jiabin Liu, Bo Wang, Hanyuan Hang, Huadong Wang, Zhiquan Qi, Yingjie Tian, Yong Shi

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Online few-shot learning for multi-function radars mode recognition based on backtracking contextual prototypical memory.

Qihang Zhai, Xiongkui Zhang, Zilin Zhang, Jiabin Liu, Shafei Wang

Digit. Signal Process., September, 2023

GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels.

Jiabin Liu, Hanyuan Hang, Bo Wang, Biao Li, Huadong Wang, Yingjie Tian, Yong Shi

IEEE Trans. Cybern., 2023

LRAD-Net: An Improved Lightweight Network for Building Extraction From Remote Sensing Images.

Jiabin Liu, Huaigang Huang, Hanxiao Sun, Zhifeng Wu, Renbo Luo

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data.

Chengliang Chai, Jiabin Liu, Nan Tang, Ju Fan, Dongjing Miao, Jiayi Wang, Yuyu Luo, Guoliang Li

Proc. ACM Manag. Data, 2023

Efficient Coreset Selection with Cluster-based Methods.

Chengliang Chai, Jiayi Wang, Nan Tang, Ye Yuan, Jiabin Liu, Yuhao Deng, Guoren Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Mechanism Design of a Multi-rod and Wireline-coring Drill Tool for Seafloor Sediment-sampling Robots.

Jiabin Liu, Jiashu Feng, Jinchang Xu, Hongyu Wei, Haifei Zhu, Tao Zhang

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

A Topic-Aware Data Generation Framework for Math Word Problems.

Tianyu Zhao, Chengliang Chai, Jiabin Liu, Guoliang Li, Jianhua Feng, Zitao Liu

Proceedings of the Database Systems for Advanced Applications, 2023

Privacy-preserving Sparse Generalized Eigenvalue Problem.

Lijie Hu, Zihang Xiang, Jiabin Liu, Di Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Grand Challenge on Software and Hardware Co-Optimization for E-Commerce Recommendation System.

Jianing Li, Jiabin Liu, Xingyuan Hu, Yuhang Zhang, Guosheng Yu, Shimeng Qian, Wei Mao, Li Du, Yongfu Li, Yuan Du

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection.

Xiang Yu, Chengliang Chai, Guoliang Li, Jiabin Liu

Proc. VLDB Endow., 2022

Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning.

Jiayi Wang, Chengliang Chai, Nan Tang, Jiabin Liu, Guoliang Li

Proc. VLDB Endow., 2022

Selective Data Acquisition in the Wild for Model Charging.

Chengliang Chai, Jiabin Liu, Nan Tang, Guoliang Li, Yuyu Luo

Proc. VLDB Endow., 2022

SELF-LLP: Self-supervised learning from label proportions with self-ensemble.

Jiabin Liu, Zhiquan Qi, Bo Wang, Yingjie Tian, Yong Shi

Pattern Recognit., 2022

Self-supervised knowledge distillation for complementary label learning.

Jiabin Liu, Biao Li, Minglong Lei, Yong Shi

Neural Networks, 2022

Biological Engineering Analysis of Vermicompost Based on Image Features and Machine Learning.

Hongyan Wang, Ling Wang, Jiabin Liu, Ying Nie, Daqing Wang

Mob. Inf. Syst., 2022

Research on Urban Distribution Optimization Under Point-based Billing on Simulated Annealing with Variable Neighborhood.

Jiabin Liu, Xuanyu Hu, Junyu Chen, Xin Chen, Xupeng Wen

J. Uncertain Syst., 2022

Feature Augmentation with Reinforcement Learning.

Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, Nan Tang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

RW-Tree: A Learned Workload-aware Framework for R-tree Construction.

Haowen Dong, Chengliang Chai, Yuyu Luo, Jiabin Liu, Jianhua Feng, Chaoqun Zhan

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

FACE: A Normalizing Flow based Cardinality Estimator.

Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li

Proc. VLDB Endow., 2021

Automatic Data Acquisition for Deep Learning.

Jiabin Liu, Fu Zhu, Chengliang Chai, Yuyu Luo, Nan Tang

Proc. VLDB Endow., 2021

RGSR: A two-step lossy JPG image super-resolution based on noise reduction.

Biao Li, Yong Shi, Bo Wang, Zhiquan Qi, Jiabin Liu

Neurocomputing, 2021

SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System.

Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang

CoRR, 2021

Two-stage Training for Learning from Label Proportions.

Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Leveraged Weighted Loss for Partial Label Learning.

Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

s-LWSR: Super Lightweight Super-Resolution Network.

Biao Li, Bo Wang, Jiabin Liu, Zhiquan Qi, Yong Shi

IEEE Trans. Image Process., 2020

Deep learning from label proportions with labeled samples.

Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian

Neural Networks, 2020

Passivity-Based Cascade-Free Finite-Set Model Predictive Control for Nested Neutral Point-Clamped Converters.

Lin Qiu, Xing Liu, Jiabin Liu, Jien Ma, Jian Zhang, Yao Li, Youtong Fang

IEEE Access, 2020

2019

High-Precision Tracking of Piezoelectric Actuator Using Iterative Learning Control and Direct Inverse Compensation of Hysteresis.

Yupei Jian, Deqing Huang, Jiabin Liu, Da Min

IEEE Trans. Ind. Electron., 2019

Learning from Label Proportions with Generative Adversarial Networks.

Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Novel Texture Generation Super Resolution Model.

Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi, Jiabin Liu

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

2018

Learning from label proportions on high-dimensional data.

Yong Shi, Jiabin Liu, Zhiquan Qi, Bo Wang

Neural Networks, 2018

Unconventional Deformation Behaviours of Nanoscaled High-Entropy Alloys.

Yeqiang Bu, Shenyou Peng, Shiwei Wu, Yujie Wei, Gang Wang, Jiabin Liu, Hongtao Wang

Entropy, 2018

A generalized concept-cognitive learning: A machine learning viewpoint.

Yunlong Mi, Yong Shi, Jinhai Li, Jiabin Liu, Biao Li

CoRR, 2018

Active Vibration Control of a Dynamic Hysteresis System Using μ-Synthesis.

Jiabin Liu, Kemin Zhou

IEEE Access, 2018

Inverse Convolutional Neural Networks for Learning from Label Proportions.

Yong Shi, Jiabin Liu, Zhiquan Qi

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

2016

Sparse and Low-Rank Graph for Discriminant Analysis of Hyperspectral Imagery.

Wei Li, Jiabin Liu, Qian Du

IEEE Trans. Geosci. Remote. Sens., 2016

2014

Feature Selection with Positive Region Constraint for Test-Cost-Sensitive Data.

Jiabin Liu, Fan Min, Hong Zhao, William Zhu

Trans. Rough Sets, 2014

2013

On the robust stability analysis with real block structured uncertainties.

Jiabin Liu, Kemin Zhou, Lei Ma

Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

2012

Minimal Test Cost Feature Selection with Positive Region Constraint.

Jiabin Liu, Fan Min, Shujiao Liao, William Zhu

Proceedings of the Rough Sets and Current Trends in Computing, 2012

Ant colony optimization to minimal test cost reduction.

Zilong Xu, Fan Min, Jiabin Liu, William Zhu

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

An improved genetic algorithm to minimal test cost reduction.

Jiabin Liu, Shujiao Liao, Fan Min, William Zhu

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2006

ROC Analysis for Diagnostic Accuracy of Fracture by Using Different Monitors.

Zhigang Liang, Kuncheng Li, Xiaolin Yang, Xiangying Du, Jiabin Liu, Xin Zhao, Xiangdong Qi

J. Digit. Imaging, 2006

Maximizing the Effective Channel Capacity of Power Controlled WCDMA Systems under Rayleigh Fading Environments.

Jiabin Liu, Shihua Zhu, Wenyuan Li

IEICE Trans. Commun., 2006