no code implementations • 2 Apr 2024 • Homaira Huda Shomee, Zhu Wang, Sathya N. Ravi, Sourav Medya
This progress extends to the field of patent analysis and innovation, where AI-based tools present opportunities to streamline and enhance important tasks in the patent cycle such as classification, retrieval, and valuation prediction.
no code implementations • 5 Oct 2023 • Zhu Wang, Praveen Raj Veluswami, Harsh Mishra, Sathya N. Ravi
Furthermore, we illustrate applications of our novel rooted loss function in generative modeling based downstream applications, such as finetuning StyleGAN model with the rooted loss.
1 code implementation • 5 Oct 2023 • Zhu Wang
Ontology matching (OM) entails the identification of semantic relationships between concepts within two or more knowledge graphs (KGs) and serves as a critical step in integrating KGs from various sources.
no code implementations • 29 Sep 2023 • Song Wang, Zhu Wang, Can Li, Xiaojuan Qi, Hayden Kwok-Hay So
In comparison to conventional RGB cameras, the superior temporal resolution of event cameras allows them to capture rich information between frames, making them prime candidates for object tracking.
1 code implementation • 11 Feb 2023 • Zhu Wang, Sourav Medya, Sathya N. Ravi
Often, deep network models are purely inductive during training and while performing inference on unseen data.
Ranked #7 on Visual Question Answering on VQA v2 test-dev
no code implementations • 1 Sep 2022 • Kristofer Schlachter, Benjamin Ahlbrand, Zhu Wang, Valerio Ortenzi, Ken Perlin
When creating 3D content, highly specialized skills are generally needed to design and generate models of objects and other assets by hand.
no code implementations • 13 Apr 2022 • Xiangru Li, Zhu Wang, Si Zeng, Caixiu Liao, Bing Du, X. Kong, Haining Li
Firstly, this scheme detected stellar atmospheric parameter-sensitive features from spectra by the Least Absolute Shrinkage and Selection Operator (LASSO), rejected ineffective data components and irrelevant data.
no code implementations • 16 Feb 2022 • Honglong Chen, Zhe Li, Zhu Wang, Zhichen Ni, Junjian Li, Ge Xu, Abdul Aziz, Feng Xia
As an effective way to alleviate information overload, recommender system can improve the quality of various services by adding application data generated by users on edge devices, such as visual and textual information, on the basis of sparse rating data.
no code implementations • 16 Feb 2022 • Zhu Wang, Honglong Chen, Zhe Li, Kai Lin, Nan Jiang, Feng Xia
Fortunately, context-aware recommender systems can alleviate the sparsity problem by making use of some auxiliary information, such as the information of both the users and items.
2 code implementations • 2 Dec 2021 • Yuankai Teng, Zhu Wang, Lili Ju, Anthony Gruber, Guannan Zhang
Our method contains two major components: one is the pseudo-reversible neural network (PRNN) module that effectively transforms high-dimensional input variables to low-dimensional active variables, and the other is the synthesized regression module for approximating function values based on the transformed data in the low-dimensional space.
1 code implementation • 5 Oct 2021 • Anthony Gruber, Max Gunzburger, Lili Ju, Zhu Wang
The popularity of deep convolutional autoencoders (CAEs) has engendered new and effective reduced-order models (ROMs) for the simulation of large-scale dynamical systems.
1 code implementation • 23 May 2021 • Yuankai Teng, XiaoPing Zhang, Zhu Wang, Lili Ju
Partial differential equations are often used to model various physical phenomena, such as heat diffusion, wave propagation, fluid dynamics, elasticity, electrodynamics and image processing, and many analytic approaches or traditional numerical methods have been developed and widely used for their solutions.
1 code implementation • 29 Apr 2021 • Anthony Gruber, Max Gunzburger, Lili Ju, Yuankai Teng, Zhu Wang
A dimension reduction method based on the "Nonlinear Level set Learning" (NLL) approach is presented for the pointwise prediction of functions which have been sparsely sampled.
no code implementations • 19 Jan 2021 • Zhu Wang
However, there is a lack of weighted estimation to indicate the outlier status of the observations.
Computation 62H30, 62G35, 68Q32
no code implementations • 16 Dec 2020 • Jun Liu, Zhu Wang
In this paper we propose to use model reduction techniques for speeding up the diagonalization-based parallel-in-time (ParaDIAG) preconditioner, for iteratively solving all-at-once systems from evolutionary PDEs.
Numerical Analysis Numerical Analysis Dynamical Systems
no code implementations • 1 Dec 2020 • Changhong Mou, Zhu Wang, David R. Wells, Xuping Xie, Traian Iliescu
In this paper, we survey the ROMs developed for the QGE in order to understand their potential in efficient numerical simulations of more complex ocean flows: We explain how classical numerical methods for the QGE are used to generate the ROM basis functions, we outline the main steps in the construction of projection-based ROMs (with a particular focus on the under-resolved regime, when the closure problem needs to be addressed), we illustrate the ROMs in the numerical simulation of the QGE for various settings, and we present several potential future research avenues in the ROM exploration of the QGE and more complex models of geophysical flows.
Fluid Dynamics Numerical Analysis Numerical Analysis
no code implementations • 23 Dec 2019 • Zhu Wang
The general framework is to minimize a loss function subject to a penalty designed to generate sparse variable selection.
1 code implementation • https://dl.acm.org/doi/10.1145/3161411 2018 • Bin Guo, Jing Li, Vincent W. Zheng, Zhu Wang, Zhiwen Yu
To solve the cold-start problem, we propose CityTransfer, which transfers chain store knowledge from semantically-relevant domains (e. g., other cities with rich knowledge, similar chain enterprises in the target city) for chain store placement recommendation in a new city.