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Pai Liu
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2020 – today
- 2022
- [j6]Ning Liu, Pai Liu:
Goaling recognition based on intelligent analysis of real-time basketball image of Internet of Things. J. Supercomput. 78(1): 123-143 (2022) - [j5]Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li:
Exploring Generative Neural Temporal Point Process. Trans. Mach. Learn. Res. 2022 (2022) - [i8]Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li:
Exploring Generative Neural Temporal Point Process. CoRR abs/2208.01874 (2022) - [i7]Pai Liu, Wenyang Gao, Wenjie Dong, Songfang Huang, Yue Zhang:
Open Information Extraction from 2007 to 2022 - A Survey. CoRR abs/2208.08690 (2022) - [i6]Qike Li, Samir Jamkhande, Pavel Kochetkov, Pai Liu:
Assign Experiment Variants at Scale in Online Controlled Experiments. CoRR abs/2212.08771 (2022) - 2021
- [j4]Junjie Zhan, Jing Li, Pai Liu, Yangjun Luo:
A Gradient-Free Topology Optimization Strategy for Continuum Structures with Design-Dependent Boundary Loads. Symmetry 13(11): 1976 (2021) - [c10]Cunxiang Wang, Pai Liu, Yue Zhang:
Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? ACL/IJCNLP (1) 2021: 3241-3251 - [c9]Zhixiang Chen, Yikun Lei, Pai Liu, Guibing Guo:
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension. SemEval@ACL/IJCNLP 2021: 827-832 - [i5]Zhixiang Chen, Yikun Lei, Pai Liu, Guibing Guo:
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension. CoRR abs/2105.12051 (2021) - [i4]Cunxiang Wang, Pai Liu, Yue Zhang:
Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA? CoRR abs/2106.01561 (2021) - 2020
- [j3]Wenbin Jiang, Yangsong Zhang, Pai Liu, Jing Peng, Laurence T. Yang, Geyan Ye, Hai Jin:
Exploiting potential of deep neural networks by layer-wise fine-grained parallelism. Future Gener. Comput. Syst. 102: 210-221 (2020) - [c8]Wenbin Jiang, Jing Peng, Pai Liu, Hai Jin:
Hylo: Hybrid Layer-Based Optimization to Reduce Communication in Distributed Deep Learning. APWeb/WAIM (1) 2020: 685-699 - [c7]Wenbin Jiang, Pai Liu, Hai Jin, Jing Peng:
An Efficient Data Prefetch Strategy for Deep Learning Based on Non-volatile Memory. GPC 2020: 101-114 - [c6]Pai Liu, Chan Wang, Ming Lei, Min Li, Min-Jian Zhao:
Adaptive Priority-threshold Setting Strategy for Statistical Priority-based Multiple Access Network. VTC Spring 2020: 1-5 - [i3]Pai Liu:
QiaoNing at SemEval-2020 Task 4: Commonsense Validation and Explanation system based on ensemble of language model. CoRR abs/2009.02645 (2020)
2010 – 2019
- 2019
- [c5]Pai Liu, Yan Sun, Wei Ren:
A Pattern Similarity-based User Behavior Analysis System for Scratch. ICCE-TW 2019: 1-2 - [c4]Pai Liu, Yan Sun, Hong Luo:
An ANTLR-based Feature Extraction and Detection System for Scratch. IWCMC 2019: 1743-1748 - [i2]Jingwei Gan, Pai Liu, Rajan K. Chakrabarty:
Introducing a Generative Adversarial Network Model for Lagrangian Trajectory Simulation. CoRR abs/1901.03960 (2019) - 2018
- [c3]Wenbin Jiang, Yangsong Zhang, Pai Liu, Geyan Ye, Hai Jin:
FiLayer: A Novel Fine-Grained Layer-Wise Parallelism Strategy for Deep Neural Networks. ICANN (3) 2018: 321-330 - [c2]Pai Liu, Fenlin Liu, Daofu Gong:
Video Quality Assessment Algorithm Based on Persistence-of-Vision Effect. ICCCS (2) 2018: 366-376 - [i1]Pai Liu, Jingwei Gan, Rajan K. Chakrabarty:
Variational Autoencoding the Lagrangian Trajectories of Particles in a Combustion System. CoRR abs/1811.11896 (2018) - 2017
- [j2]Pai Liu, Xi Zhang, Zhongshun Shi, Zewen Huang:
Simulation Optimization for MRO Systems Operations. Asia Pac. J. Oper. Res. 34(2): 1750003:1-1750003:23 (2017) - [j1]Zhongshun Shi, Longfei Wang, Pai Liu, Leyuan Shi:
Minimizing Completion Time for Order Scheduling: Formulation and Heuristic Algorithm. IEEE Trans Autom. Sci. Eng. 14(4): 1558-1569 (2017) - 2015
- [c1]Zhongshun Shi, Pai Liu, Hongqiang Gao, Leyuan Shi:
Production planning for a class of batch processing problem. CASE 2015: 1188-1193
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