Min Liu

40 papers A* 1A 2B 1Journal 30Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dual Neural Network (DuNN) method for elliptic partial differential equations and systems.
J. Comput. Appl. Math.
Min Liu, Zhiqiang Cai, Karthik Ramani
2025 J jnl
pARametric: Empowering In Situ Parametric Modeling in Augment Reality for Personal Fabrication.
J. Comput. Inf. Sci. Eng.
Runlin Duan, Xiyun Hu, Min Liu, Jingyu Shi, Karthik Ramani
2024 J jnl
Least-Squares Neural Network (LSNN) Method for Linear Advection-Reaction Equation: Discontinuity Interface.
SIAM J. Sci. Comput.
Zhiqiang Cai, Junpyo Choi, Min Liu
2024 J jnl
ReLU neural network approximation to piecewise constant functions.
CoRR
Zhiqiang Cai, Junpyo Choi, Min Liu
2024 J jnl
The Design of a Virtual Prototyping System for Authoring Interactive Virtual Reality Environments From Real-World Scans.
J. Comput. Inf. Sci. Eng.
Ananya Ipsita, Runlin Duan, Hao Li, Subramanian Chidambaram, Yuanzhi Cao, Min Liu, Alexander J. Quinn, Karthik Ramani
2023 J jnl
Deep Ritz Method with Adaptive Quadrature for Linear Elasticity.
CoRR
Min Liu, Zhiqiang Cai, Karthik Ramani
2023 J jnl
Least-Squares Neural Network (LSNN) Method For Linear Advection-Reaction Equation: Non-constant Jumps.
CoRR
Zhiqiang Cai, Junpyo Choi, Min Liu
2023 J jnl
Least-Squares Neural Network (LSNN) Method for Linear Advection-Reaction Equation: General Discontinuous Interface.
CoRR
Zhiqiang Cai, Junpyo Choi, Min Liu
2023 J jnl
Least-squares neural network (LSNN) method for scalar nonlinear hyperbolic conservation laws: Discrete divergence operator.
J. Comput. Appl. Math.
Zhiqiang Cai, Jingshuang Chen, Min Liu
2023 J jnl
PAGML: Precise Alignment Guided Metric Learning for sketch-based 3D shape retrieval.
Image Vis. Comput.
Shaojin Bai, Jing Bai, Hao Xu, Jiwen Tuo, Min Liu
2022 J jnl
Adaptive two-layer ReLU neural network: I. Best least-squares approximation.
Comput. Math. Appl.
Min Liu, Zhiqiang Cai, Jingshuang Chen
2022 J jnl
Adaptive two-layer ReLU neural network: II. Ritz approximation to elliptic PDEs.
Comput. Math. Appl.
Min Liu, Zhiqiang Cai
2022 J jnl
Self-adaptive deep neural network: Numerical approximation to functions and PDEs.
J. Comput. Phys.
Zhiqiang Cai, Jingshuang Chen, Min Liu
2021 J jnl
Adaptive Two-Layer ReLU Neural Network: I. Best Least-squares Approximation.
CoRR
Min Liu, Zhiqiang Cai, Jingshuang Chen
2021 J jnl
Adaptive Two-Layer ReLU Neural Network: II. Ritz Approximation to Elliptic PDEs.
CoRR
Min Liu, Zhiqiang Cai
2021 J jnl
Finite Volume Least-Squares Neural Network (FV-LSNN) Method for Scalar Nonlinear Hyperbolic Conservation Laws.
CoRR
Zhiqiang Cai, Jingshuang Chen, Min Liu
2021 B conf
IFP-ADAC: A Two-stage Interpretable Fault Prediction Model for Multivariate Time Series.
MDM
Weilin Wang, Zhaohui Peng, Senzhang Wang, Hao Li, Min Liu, Liang Xue, Nengwei Zhang
2021 A conf
LDFeRR: A Fuel-efficient Route Recommendation Approach for Long-distance Driving Based on Historical Trajectories.
SDM
Min Liu, Zhaohui Peng, Xiaohui Yu, Senzhang Wang, Qiao Song
2021 J jnl
Least-Squares ReLU Neural Network (LSNN) Method For Linear Advection-Reaction Equation.
CoRR
Zhiqiang Cai, Jingshuang Chen, Min Liu
2021 J jnl
Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law.
CoRR
Zhiqiang Cai, Jingshuang Chen, Min Liu
2021 J jnl
Least-squares ReLU neural network (LSNN) method for linear advection-reaction equation.
J. Comput. Phys.
Zhiqiang Cai, Jingshuang Chen, Min Liu
2021 J jnl
Self-adaptive deep neural network: Numerical approximation to functions and PDEs.
CoRR
Zhiqiang Cai, Jingshuang Chen, Min Liu
2021 — conf
VRFromX: From Scanned Reality to Interactive Virtual Experience with Human-in-the-Loop.
CHI Extended Abstracts
Ananya Ipsita, Hao Li, Runlin Duan, Yuanzhi Cao, Subramanian Chidambaram, Min Liu, Karthik Ramani
2020 J jnl
Deep least-squares methods: An unsupervised learning-based numerical method for solving elliptic PDEs.
J. Comput. Phys.
Zhiqiang Cai, Jingshuang Chen, Min Liu, Xinyu Liu
2020 J jnl
Feature-attention module for context-aware image-to-image translation.
Vis. Comput.
Jing Bai, Ran Chen, Min Liu
2019 J jnl
DAR-Net: Dynamic Aggregation Network for Semantic Scene Segmentation.
CoRR
Zongyue Zhao, Min Liu, Karthik Ramani
2019 — conf
Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution.
ICLR (Poster)
Min Liu, Fupin Yao, Chiho Choi, Ayan Sinha, Karthik Ramani
2019 J jnl
Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs.
CoRR
Zhiqiang Cai, Jingshuang Chen, Min Liu, Xinyu Liu
2018 A conf
Ellipse Detection on Images Using Conic Power of Two Points.
BMVC
Min Liu, Bodi Yuan, Jing Bai
2017 A* conf
WireFab: Mix-Dimensional Modeling and Fabrication for 3D Mesh Models.
CHI
Min Liu, Yunbo Zhang, Jing Bai, Yuanzhi Cao, Jeffrey M. Alperovich, Karthik Ramani
2016 J jnl
VIV: Using visible internal volume to compute junction-aware shape descriptor of 3D articulated models.
Neurocomputing
Yu-Shen Liu, Hongchen Deng, Min Liu, Lianjie Gong
2015 J jnl
Power histogram for circle detection on images.
Pattern Recognit.
Bodi Yuan, Min Liu
2012 J jnl
Robust shape normalization of 3D articulated volumetric models.
Comput. Aided Des.
Chao Wang, Yu-Shen Liu, Min Liu, Jun-Hai Yong, Jean-Claude Paul
2012 J jnl
Towards locally and globally shape-aware reverse 3D modeling.
Comput. Aided Des.
Manish Goyal, Sundar Murugappan, Cecil Piya, William Benjamin, Yi Fang, Min Liu, Karthik Ramani
2011 J jnl
Computing the Inner Distances of Volumetric Models for Articulated Shape Description with a Visibility Graph.
IEEE Trans. Pattern Anal. Mach. Intell.
Yu-Shen Liu, Karthik Ramani, Min Liu
2009 J jnl
Computing global visibility maps for regions on the boundaries of polyhedra using Minkowski sums.
Comput. Aided Des.
Min Liu, Yu-Shen Liu, Karthik Ramani
2009 — conf
On minimal orthographic view covers for polyhedra.
Shape Modeling International
Min Liu, Karthik Ramani
2007 — conf
Anisotropic filtering on normal field and curvature tensor field using optimal estimation theory.
Shape Modeling International
Min Liu, Yu-Shen Liu, Karthik Ramani
2007 — conf
Computing an exact spherical visibility map for meshed polyhedra.
Symposium on Solid and Physical Modeling
Min Liu, Karthik Ramani
2007 — conf
Salient critical points for meshes.
Symposium on Solid and Physical Modeling
Yu-Shen Liu, Min Liu, Daisuke Kihara, Karthik Ramani