Min Liu

According to our database, Min Liu authored at least 33 papers between 2007 and 2024.

Collaborative distances:

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

2024

The Design of a Virtual Prototyping System for Authoring Interactive Virtual Reality Environments From Real-World Scans.

Ananya Ipsita, Runlin Duan, Hao Li, Subramanian Chidambaram, Yuanzhi Cao, Min Liu, Alexander J. Quinn, Karthik Ramani

J. Comput. Inf. Sci. Eng., March, 2024

Least-Squares Neural Network (LSNN) Method for Linear Advection-Reaction Equation: Discontinuity Interface.

Zhiqiang Cai, Junpyo Choi, Min Liu

SIAM J. Sci. Comput., 2024

ReLU neural network approximation to piecewise constant functions.

Zhiqiang Cai, Junpyo Choi, Min Liu

CoRR, 2024

2023

Least-squares neural network (LSNN) method for scalar nonlinear hyperbolic conservation laws: Discrete divergence operator.

Zhiqiang Cai, Jingshuang Chen, Min Liu

J. Comput. Appl. Math., December, 2023

PAGML: Precise Alignment Guided Metric Learning for sketch-based 3D shape retrieval.

Shaojin Bai, Jing Bai, Hao Xu, Jiwen Tuo, Min Liu

Image Vis. Comput., August, 2023

Least-Squares Neural Network (LSNN) Method For Linear Advection-Reaction Equation: Non-constant Jumps.

Zhiqiang Cai, Junpyo Choi, Min Liu

CoRR, 2023

Deep Ritz Method with Adaptive Quadrature for Linear Elasticity.

Min Liu, Zhiqiang Cai, Karthik Ramani

CoRR, 2023

Least-Squares Neural Network (LSNN) Method for Linear Advection-Reaction Equation: General Discontinuous Interface.

Zhiqiang Cai, Junpyo Choi, Min Liu

CoRR, 2023

2022

Self-adaptive deep neural network: Numerical approximation to functions and PDEs.

Zhiqiang Cai, Jingshuang Chen, Min Liu

J. Comput. Phys., 2022

Adaptive two-layer ReLU neural network: I. Best least-squares approximation.

Min Liu, Zhiqiang Cai, Jingshuang Chen

Comput. Math. Appl., 2022

Adaptive two-layer ReLU neural network: II. Ritz approximation to elliptic PDEs.

Min Liu, Zhiqiang Cai

Comput. Math. Appl., 2022

2021

Least-squares ReLU neural network (LSNN) method for linear advection-reaction equation.

Zhiqiang Cai, Jingshuang Chen, Min Liu

J. Comput. Phys., 2021

Finite Volume Least-Squares Neural Network (FV-LSNN) Method for Scalar Nonlinear Hyperbolic Conservation Laws.

Zhiqiang Cai, Jingshuang Chen, Min Liu

CoRR, 2021

Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law.

Zhiqiang Cai, Jingshuang Chen, Min Liu

CoRR, 2021

LDFeRR: A Fuel-efficient Route Recommendation Approach for Long-distance Driving Based on Historical Trajectories.

Min Liu, Zhaohui Peng, Xiaohui Yu, Senzhang Wang, Qiao Song

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

IFP-ADAC: A Two-stage Interpretable Fault Prediction Model for Multivariate Time Series.

Weilin Wang, Zhaohui Peng, Senzhang Wang, Hao Li, Min Liu, Liang Xue, Nengwei Zhang

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

VRFromX: From Scanned Reality to Interactive Virtual Experience with Human-in-the-Loop.

Ananya Ipsita, Hao Li, Runlin Duan, Yuanzhi Cao, Subramanian Chidambaram, Min Liu, Karthik Ramani

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Feature-attention module for context-aware image-to-image translation.

Jing Bai, Ran Chen, Min Liu

Vis. Comput., 2020

Deep least-squares methods: An unsupervised learning-based numerical method for solving elliptic PDEs.

Zhiqiang Cai, Jingshuang Chen, Min Liu, Xinyu Liu

J. Comput. Phys., 2020

2019

DAR-Net: Dynamic Aggregation Network for Semantic Scene Segmentation.

Zongyue Zhao, Min Liu, Karthik Ramani

CoRR, 2019

Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution.

Min Liu, Fupin Yao, Chiho Choi, Ayan Sinha, Karthik Ramani

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

2018

Ellipse Detection on Images Using Conic Power of Two Points.

Min Liu, Bodi Yuan, Jing Bai

Proceedings of the British Machine Vision Conference 2018, 2018

2017

WireFab: Mix-Dimensional Modeling and Fabrication for 3D Mesh Models.

Min Liu, Yunbo Zhang, Jing Bai, Yuanzhi Cao, Jeffrey M. Alperovich, Karthik Ramani

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

VIV: Using visible internal volume to compute junction-aware shape descriptor of 3D articulated models.

Yu-Shen Liu, Hongchen Deng, Min Liu, Lianjie Gong

Neurocomputing, 2016

2015

Power histogram for circle detection on images.

Bodi Yuan, Min Liu

Pattern Recognit., 2015

2012

Robust shape normalization of 3D articulated volumetric models.

Chao Wang, Yu-Shen Liu, Min Liu, Jun-Hai Yong, Jean-Claude Paul

Comput. Aided Des., 2012

Towards locally and globally shape-aware reverse 3D modeling.

Manish Goyal, Sundar Murugappan, Cecil Piya, William Benjamin, Yi Fang, Min Liu, Karthik Ramani

Comput. Aided Des., 2012

2011

Computing the Inner Distances of Volumetric Models for Articulated Shape Description with a Visibility Graph.

Yu-Shen Liu, Karthik Ramani, Min Liu

IEEE Trans. Pattern Anal. Mach. Intell., 2011

2009

Computing global visibility maps for regions on the boundaries of polyhedra using Minkowski sums.

Min Liu, Yu-Shen Liu, Karthik Ramani

Comput. Aided Des., 2009

On minimal orthographic view covers for polyhedra.

Min Liu, Karthik Ramani

Proceedings of the IEEE International Conference on Shape Modeling and Applications, 2009

2007

Anisotropic filtering on normal field and curvature tensor field using optimal estimation theory.

Min Liu, Yu-Shen Liu, Karthik Ramani

Proceedings of the 2007 International Conference on Shape Modeling and Applications (SMI 2007), 2007

Computing an exact spherical visibility map for meshed polyhedra.

Min Liu, Karthik Ramani

Proceedings of the 2007 ACM Symposium on Solid and Physical Modeling, 2007

Salient critical points for meshes.

Yu-Shen Liu, Min Liu, Daisuke Kihara, Karthik Ramani

Proceedings of the 2007 ACM Symposium on Solid and Physical Modeling, 2007