Simin Liu

According to our database, Simin Liu authored at least 14 papers between 2005 and 2023.

Collaborative distances:

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

2023

Synthesis and verification of robust-adaptive safe controllers.

Simin Liu, Kai S. Yun, John M. Dolan, Changliu Liu

CoRR, 2023

Visual Analysis of High Dam Based on Digital Twin Technology.

Kunhong Jiang, Rong Tang, Xinyao Chai, Simin Liu, Zhigui Liu, Li Li

Proceedings of the 7th International Symposium on Computer Science and Intelligent Control, 2023

Learning the Positions in CountSketch.

Yi Li, Honghao Lin, Simin Liu, Ali Vakilian, David P. Woodruff

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Safety Index Synthesis via Sum-of-Squares Programming.

Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu

Proceedings of the American Control Conference, 2023

2022

Analysis of Annual Deformation Characteristics of Xilongchi Dam Using Historical GPS Observations.

Ruijie Xi, Yuhan Liang, Qusen Chen, Weiping Jiang, Yan Chen, Simin Liu

Remote. Sens., 2022

Financial credit risk assessment of online supply chain in construction industry with a hybrid model chain.

Jia Liu, Simin Liu, Jian Li, Jianzhao Li

Int. J. Intell. Syst., 2022

Optimization of Re-ranking Based on k-Reciprocal for Vehicle Re-identification.

Simin Liu, Yuta Konishi, Jun'ichi Miyao, Takio Kurita

Proceedings of the Frontiers of Computer Vision - 28th International Workshop, 2022

Safe Control Under Input Limits with Neural Control Barrier Functions.

Simin Liu, Changliu Liu, John M. Dolan

Proceedings of the Conference on Robot Learning, 2022

2021

High-resolution whole-brain diffusion MRI at 3T using simultaneous multi-slab (SMSlab) acquisition.

Erpeng Dai, Simin Liu, Hua Guo

NeuroImage, 2021

APIR-DSP: An approximate PIR-DSP architecture for error-tolerant applications.

Yuan Dai, Simin Liu, Yao Lu, Hao Zhou, Seyedramin Rasoulinezhad, Philip H. W. Leong, Lingli Wang

Proceedings of the International Conference on Field-Programmable Technology, 2021

2020

Overview of FPGA deep learning acceleration based on convolutional neural network.

Simin Liu

CoRR, 2020

On Learned Sketches for Randomized Numerical Linear Algebra.

Simin Liu, Tianrui Liu, Ali Vakilian, Yulin Wan, David P. Woodruff

CoRR, 2020

2019

Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning.

Anusha Nagabandi, Ignasi Clavera, Simin Liu, Ronald S. Fearing, Pieter Abbeel, Sergey Levine, Chelsea Finn

Proceedings of the 7th International Conference on Learning Representations, 2019

2005

SNPHunter: a bioinformatic software for single nucleotide polymorphism data acquisition and management.

Lin Wang, Simin Liu, Tianhua Niu, Xin Xu

BMC Bioinform., 2005