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ORCIDJiabin Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j31]Jia Wang, Ru-De Liu
, Yi Ding, Wei Hong, Jiabin Liu:
How Parental Mediation and Parental Phubbing Affect Preschool Children's Screen Media Use: A Response Surface Analysis. Cyberpsychology Behav. Soc. Netw. 27(9): 651-657 (2024)- [j30]Shuangfei Yu, Jinchang Xu, Jiacheng Hu, Jian Li, Jiabin Liu, Haowen Chen, Yisheng Guan, Kun Xu, Tao Zhang:
A real-time multiple tunneling parameter prediction method of TBM steady phase based on dual recurrent neural networks. Neural Comput. Appl. 36(26): 15981-16000 (2024) - [j29]Mengjin Lyu, Jie Yang, Zhiquan Qi, Ruijie Xu, Jiabin Liu:
Rigid pairwise 3D point cloud registration: A survey. Pattern Recognit. 151: 110408 (2024) - [j28]Huaigang Huang, Jiabin Liu, Ruisheng Wang:
Easy-Net: A Lightweight Building Extraction Network Based on Building Features. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j27]Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li:
Cardinality estimation using normalizing flow. VLDB J. 33(2): 323-348 (2024) - [c17]Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang:
SAM: A Self-Adaptive Attention Module for Context-Aware Recommendation System. ICASSP 2024: 7775-7779 - [i9]Yuming Zhang, Shouxin Zhang, Peizhe Wang, Feiyu Zhu, Dongzhi Guan, Jiabin Liu, Changpeng Cai:
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network. CoRR abs/2406.16633 (2024) - [i8]Yuming Zhang, Dongzhi Guan, Shouxin Zhang, Junhao Su, Yunzhi Han, Jiabin Liu:
GSO-YOLO: Global Stability Optimization YOLO for Construction Site Detection. CoRR abs/2407.00906 (2024) - [i7]Yuming Zhang, Peizhe Wang, Shouxin Zhang, Dongzhi Guan, Jiabin Liu, Junhao Su:
Replacement Learning: Training Vision Tasks with Fewer Learnable Parameters. CoRR abs/2410.01239 (2024) - 2023
- [j26]Qihang Zhai, Xiongkui Zhang, Zilin Zhang, Jiabin Liu, Shafei Wang:
Online few-shot learning for multi-function radars mode recognition based on backtracking contextual prototypical memory. Digit. Signal Process. 141: 104189 (2023) - [j25]Chengliang Chai, Jiabin Liu, Nan Tang, Ju Fan, Dongjing Miao, Jiayi Wang, Yuyu Luo, Guoliang Li:
GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data. Proc. ACM Manag. Data 1(2): 157:1-157:27 (2023) - [j24]Jiabin Liu, Huaigang Huang, Hanxiao Sun, Zhifeng Wu, Renbo Luo:
LRAD-Net: An Improved Lightweight Network for Building Extraction From Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 675-687 (2023) - [j23]Jiabin Liu, Hanyuan Hang, Bo Wang, Biao Li, Huadong Wang, Yingjie Tian, Yong Shi:
GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels. IEEE Trans. Cybern. 53(1): 236-247 (2023) - [j22]Jiabin Liu, Bo Wang, Hanyuan Hang, Huadong Wang, Zhiquan Qi, Yingjie Tian, Yong Shi:
LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8377-8388 (2023) - [c16]Jianing Li, Jiabin Liu, Xingyuan Hu, Yuhang Zhang, Guosheng Yu, Shimeng Qian, Wei Mao, Li Du, Yongfu Li, Yuan Du:
Grand Challenge on Software and Hardware Co-Optimization for E-Commerce Recommendation System. AICAS 2023: 1-5 - [c15]Lijie Hu, Zihang Xiang, Jiabin Liu, Di Wang:
Privacy-preserving Sparse Generalized Eigenvalue Problem. AISTATS 2023: 5052-5062 - [c14]Tianyu Zhao, Chengliang Chai, Jiabin Liu, Guoliang Li, Jianhua Feng, Zitao Liu:
A Topic-Aware Data Generation Framework for Math Word Problems. DASFAA (4) 2023: 286-302 - [c13]Jiabin Liu, Jiashu Feng, Jinchang Xu, Hongyu Wei, Haifei Zhu, Tao Zhang:
Mechanism Design of a Multi-rod and Wireline-coring Drill Tool for Seafloor Sediment-sampling Robots. ICARM 2023: 715-720 - [c12]Chengliang Chai, Jiayi Wang, Nan Tang, Ye Yuan, Jiabin Liu, Yuhao Deng, Guoren Wang:
Efficient Coreset Selection with Cluster-based Methods. KDD 2023: 167-178 - 2022
- [j21]Jiabin Liu, Xuanyu Hu, Junyu Chen, Xin Chen, Xupeng Wen:
Research on Urban Distribution Optimization Under Point-based Billing on Simulated Annealing with Variable Neighborhood. J. Uncertain Syst. 15(1): 2250005:1-2250005:14 (2022) - [j20]Hongyan Wang, Ling Wang, Jiabin Liu, Ying Nie, Daqing Wang:
Biological Engineering Analysis of Vermicompost Based on Image Features and Machine Learning. Mob. Inf. Syst. 2022: 7347142:1-7347142:14 (2022) - [j19]Jiabin Liu, Biao Li, Minglong Lei, Yong Shi:
Self-supervised knowledge distillation for complementary label learning. Neural Networks 155: 318-327 (2022) - [j18]Jiabin Liu, Zhiquan Qi, Bo Wang, Yingjie Tian, Yong Shi:
SELF-LLP: Self-supervised learning from label proportions with self-ensemble. Pattern Recognit. 129: 108767 (2022) - [j17]Chengliang Chai, Jiabin Liu, Nan Tang, Guoliang Li, Yuyu Luo:
Selective Data Acquisition in the Wild for Model Charging. Proc. VLDB Endow. 15(7): 1466-1478 (2022) - [j16]Xiang Yu, Chengliang Chai, Guoliang Li, Jiabin Liu:
Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection. Proc. VLDB Endow. 15(13): 3924-3936 (2022) - [j15]Jiayi Wang, Chengliang Chai, Nan Tang, Jiabin Liu, Guoliang Li:
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning. Proc. VLDB Endow. 16(1): 64-76 (2022) - [c11]Haowen Dong, Chengliang Chai, Yuyu Luo, Jiabin Liu, Jianhua Feng, Chaoqun Zhan:
RW-Tree: A Learned Workload-aware Framework for R-tree Construction. ICDE 2022: 2073-2085 - [c10]Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, Nan Tang:
Feature Augmentation with Reinforcement Learning. ICDE 2022: 3360-3372 - 2021
- [j14]Biao Li, Yong Shi, Bo Wang, Zhiquan Qi, Jiabin Liu:
RGSR: A two-step lossy JPG image super-resolution based on noise reduction. Neurocomputing 419: 322-334 (2021) - [j13]Jiabin Liu, Fu Zhu, Chengliang Chai, Yuyu Luo, Nan Tang:
Automatic Data Acquisition for Deep Learning. Proc. VLDB Endow. 14(12): 2739-2742 (2021) - [j12]Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li:
FACE: A Normalizing Flow based Cardinality Estimator. Proc. VLDB Endow. 15(1): 72-84 (2021) - [c9]Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin:
Leveraged Weighted Loss for Partial Label Learning. ICML 2021: 11091-11100 - [c8]Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian:
Two-stage Training for Learning from Label Proportions. IJCAI 2021: 2737-2743 - [i6]Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian:
Two-stage Training for Learning from Label Proportions. CoRR abs/2105.10635 (2021) - [i5]Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin:
Leveraged Weighted Loss for Partial Label Learning. CoRR abs/2106.05731 (2021) - [i4]Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang:
SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System. CoRR abs/2110.00452 (2021) - 2020
- [j11]Lin Qiu, Xing Liu, Jiabin Liu, Jien Ma, Jian Zhang, Yao Li, Youtong Fang:
Passivity-Based Cascade-Free Finite-Set Model Predictive Control for Nested Neutral Point-Clamped Converters. IEEE Access 8: 200209-200218 (2020) - [j10]Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian:
Deep learning from label proportions with labeled samples. Neural Networks 128: 73-81 (2020) - [j9]Biao Li, Bo Wang, Jiabin Liu, Zhiquan Qi, Yong Shi:
s-LWSR: Super Lightweight Super-Resolution Network. IEEE Trans. Image Process. 29: 8368-8380 (2020)
2010 – 2019
- 2019
- [j8]Yupei Jian, Deqing Huang, Jiabin Liu, Da Min:
High-Precision Tracking of Piezoelectric Actuator Using Iterative Learning Control and Direct Inverse Compensation of Hysteresis. IEEE Trans. Ind. Electron. 66(1): 368-377 (2019) - [c7]Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi, Jiabin Liu:
A Novel Texture Generation Super Resolution Model. ITQM 2019: 924-931 - [c6]Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi:
Learning from Label Proportions with Generative Adversarial Networks. NeurIPS 2019: 7167-7177 - [i3]Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi:
Learning from Label Proportions with Generative Adversarial Networks. CoRR abs/1909.02180 (2019) - [i2]Biao Li, Jiabin Liu, Bo Wang, Zhiquan Qi, Yong Shi:
s-LWSR: Super Lightweight Super-Resolution Network. CoRR abs/1909.10774 (2019) - 2018
- [j7]Jiabin Liu, Kemin Zhou:
Active Vibration Control of a Dynamic Hysteresis System Using μ-Synthesis. IEEE Access 6: 76831-76837 (2018) - [j6]Yeqiang Bu, Shenyou Peng, Shiwei Wu, Yujie Wei, Gang Wang, Jiabin Liu, Hongtao Wang:
Unconventional Deformation Behaviours of Nanoscaled High-Entropy Alloys. Entropy 20(10): 778 (2018) - [j5]Yong Shi, Jiabin Liu, Zhiquan Qi, Bo Wang:
Learning from label proportions on high-dimensional data. Neural Networks 103: 9-18 (2018) - [c5]Yong Shi, Jiabin Liu, Zhiquan Qi:
Inverse Convolutional Neural Networks for Learning from Label Proportions. WI 2018: 643-646 - [i1]Yunlong Mi, Yong Shi, Jinhai Li, Jiabin Liu, Biao Li:
A generalized concept-cognitive learning: A machine learning viewpoint. CoRR abs/1801.02334 (2018) - 2016
- [j4]Wei Li, Jiabin Liu, Qian Du:
Sparse and Low-Rank Graph for Discriminant Analysis of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 54(7): 4094-4105 (2016) - 2014
- [j3]Jiabin Liu, Fan Min, Hong Zhao, William Zhu:
Feature Selection with Positive Region Constraint for Test-Cost-Sensitive Data. Trans. Rough Sets 18: 23-33 (2014) - 2013
- [c4]Jiabin Liu, Kemin Zhou, Lei Ma:
On the robust stability analysis with real block structured uncertainties. ICCA 2013: 16-20 - 2012
- [c3]Jiabin Liu, Shujiao Liao, Fan Min, William Zhu:
An improved genetic algorithm to minimal test cost reduction. GrC 2012: 304-309 - [c2]Zilong Xu, Fan Min, Jiabin Liu, William Zhu:
Ant colony optimization to minimal test cost reduction. GrC 2012: 585-590 - [c1]Jiabin Liu, Fan Min, Shujiao Liao, William Zhu:
Minimal Test Cost Feature Selection with Positive Region Constraint. RSCTC 2012: 259-266
2000 – 2009
- 2006
- [j2]Jiabin Liu, Shihua Zhu, Wenyuan Li:
Maximizing the Effective Channel Capacity of Power Controlled WCDMA Systems under Rayleigh Fading Environments. IEICE Trans. Commun. 89-B(3): 879-885 (2006) - [j1]Zhigang Liang, Kuncheng Li, Xiaolin Yang, Xiangying Du, Jiabin Liu, Xin Zhao, Xiangdong Qi:
ROC Analysis for Diagnostic Accuracy of Fracture by Using Different Monitors. J. Digit. Imaging 19(3): 276-278 (2006)
Coauthor Index
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last updated on 2024-11-08 21:27 CET by the dblp team
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