Salient critical points for meshes. - Yu-Shen Liu; Min Liu 018; Daisuke Kihara; Karthik Ramani (Symposium on Solid and Physical Modeling, 2007)

Computing an exact spherical visibility map for meshed polyhedra. - Min Liu 018; Karthik Ramani (Symposium on Solid and Physical Modeling, 2007)

Anisotropic filtering on normal field and curvature tensor field using optimal estimation theory. - Min Liu 018; Yu-Shen Liu; Karthik Ramani (Shape Modeling International, 2007)

On minimal orthographic view covers for polyhedra. - Min Liu 018; Karthik Ramani (Shape Modeling International, 2009)

Computing global visibility maps for regions on the boundaries of polyhedra using Minkowski sums. - Min Liu 018; Yu-Shen Liu; Karthik Ramani (Comput. Aided Des., 2009)

Computing the Inner Distances of Volumetric Models for Articulated Shape Description with a Visibility Graph. - Yu-Shen Liu; Karthik Ramani; Min Liu 018 (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Towards locally and globally shape-aware reverse 3D modeling. - Manish Goyal 001; Sundar Murugappan; Cecil Piya; William Benjamin; Yi Fang 006; Min Liu 018; Karthik Ramani (Comput. Aided Des., 2012)

Robust shape normalization of 3D articulated volumetric models. - Chao Wang 088; Yu-Shen Liu; Min Liu 018; Jun-Hai Yong; Jean-Claude Paul (Comput. Aided Des., 2012)

Power histogram for circle detection on images. - Bodi Yuan; Min Liu 018 (Pattern Recognit., 2015)

VIV: Using visible internal volume to compute junction-aware shape descriptor of 3D articulated models. - Yu-Shen Liu; Hongchen Deng; Min Liu 018; Lianjie Gong (Neurocomputing, 2016)

WireFab: Mix-Dimensional Modeling and Fabrication for 3D Mesh Models. - Min Liu 018; Yunbo Zhang; Jing Bai 004; Yuanzhi Cao; Jeffrey M. Alperovich; Karthik Ramani (CHI, 2017)

Ellipse Detection on Images Using Conic Power of Two Points. - Min Liu 018; Bodi Yuan; Jing Bai 004 (BMVC, 2018)

Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution. - Min Liu 018; Fupin Yao; Chiho Choi; Ayan Sinha; Karthik Ramani (ICLR (Poster), 2019)

DAR-Net: Dynamic Aggregation Network for Semantic Scene Segmentation. - Zongyue Zhao; Min Liu 018; Karthik Ramani (CoRR, 2019)

Deep least-squares methods: An unsupervised learning-based numerical method for solving elliptic PDEs. - Zhiqiang Cai 001; Jingshuang Chen; Min Liu 018; Xinyu Liu (J. Comput. Phys., 2020)

Feature-attention module for context-aware image-to-image translation. - Jing Bai 004; Ran Chen; Min Liu 018 (Vis. Comput., 2020)

VRFromX: From Scanned Reality to Interactive Virtual Experience with Human-in-the-Loop. - Ananya Ipsita; Hao Li 076; Runlin Duan; Yuanzhi Cao; Subramanian Chidambaram; Min Liu 018; Karthik Ramani (CHI Extended Abstracts, 2021)

IFP-ADAC: A Two-stage Interpretable Fault Prediction Model for Multivariate Time Series. - Weilin Wang; Zhaohui Peng; Senzhang Wang; Hao Li 076; Min Liu 018; Liang Xue; Nengwei Zhang (MDM, 2021)

LDFeRR: A Fuel-efficient Route Recommendation Approach for Long-distance Driving Based on Historical Trajectories. - Min Liu 018; Zhaohui Peng; Xiaohui Yu 001; Senzhang Wang; Qiao Song (SDM, 2021)

Least-Squares ReLU Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Law. - Zhiqiang Cai 001; Jingshuang Chen; Min Liu 018 (CoRR, 2021)

Finite Volume Least-Squares Neural Network (FV-LSNN) Method for Scalar Nonlinear Hyperbolic Conservation Laws. - Zhiqiang Cai 001; Jingshuang Chen; Min Liu 018 (CoRR, 2021)

Least-squares ReLU neural network (LSNN) method for linear advection-reaction equation. - Zhiqiang Cai 001; Jingshuang Chen; Min Liu 018 (J. Comput. Phys., 2021)

Adaptive two-layer ReLU neural network: II. Ritz approximation to elliptic PDEs. - Min Liu 018; Zhiqiang Cai 001 (Comput. Math. Appl., 2022)

Adaptive two-layer ReLU neural network: I. Best least-squares approximation. - Min Liu 018; Zhiqiang Cai 001; Jingshuang Chen (Comput. Math. Appl., 2022)

Self-adaptive deep neural network: Numerical approximation to functions and PDEs. - Zhiqiang Cai 001; Jingshuang Chen; Min Liu 018 (J. Comput. Phys., 2022)

Least-Squares Neural Network (LSNN) Method for Linear Advection-Reaction Equation: General Discontinuous Interface. - Zhiqiang Cai 001; Junpyo Choi; Min Liu 018 (CoRR, 2023)

Deep Ritz Method with Adaptive Quadrature for Linear Elasticity. - Min Liu 018; Zhiqiang Cai 001; Karthik Ramani (CoRR, 2023)

Least-Squares Neural Network (LSNN) Method For Linear Advection-Reaction Equation: Non-constant Jumps. - Zhiqiang Cai 001; Junpyo Choi; Min Liu 018 (CoRR, 2023)

PAGML: Precise Alignment Guided Metric Learning for sketch-based 3D shape retrieval. - Shaojin Bai; Jing Bai 004; Hao Xu; Jiwen Tuo; Min Liu 018 (Image Vis. Comput., 2023)

Least-squares neural network (LSNN) method for scalar nonlinear hyperbolic conservation laws: Discrete divergence operator. - Zhiqiang Cai 001; Jingshuang Chen; Min Liu 018 (J. Comput. Appl. Math., 2023)

ReLU neural network approximation to piecewise constant functions. - Zhiqiang Cai 001; Junpyo Choi; Min Liu 018 (CoRR, 2024)

Least-Squares Neural Network (LSNN) Method for Linear Advection-Reaction Equation: Discontinuity Interface. - Zhiqiang Cai 001; Junpyo Choi; Min Liu 018 (SIAM J. Sci. Comput., 2024)

The Design of a Virtual Prototyping System for Authoring Interactive Virtual Reality Environments From Real-World Scans. - Ananya Ipsita; Runlin Duan; Hao Li 076; Subramanian Chidambaram; Yuanzhi Cao; Min Liu 018; Alexander J. Quinn; Karthik Ramani (J. Comput. Inf. Sci. Eng., 2024)

Dual Neural Network (DuNN) method for elliptic partial differential equations and systems. - Min Liu 018; Zhiqiang Cai 001; Karthik Ramani (J. Comput. Appl. Math., 2025)

pARametric: Empowering In Situ Parametric Modeling in Augment Reality for Personal Fabrication. - Runlin Duan; Xiyun Hu; Min Liu 018; Jingyu Shi; Karthik Ramani (J. Comput. Inf. Sci. Eng., 2025)