Weichang Li

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 11

Top Topics

Semidefinite Program

Visual Recognition

Top Venues

Comput. Geosci.

Publications

Farhan Naseer, Vladimir Kazei, Weichang Li
Understanding 3D seismic data visualization with C++, OpenGL and GLSL. Comput. Geosci. 191 (2024)
Nour Alzamil, Vladimir Kazei, Huawei Zhou, Weichang Li
Quality Control of DAS VSP Data in Desert Environment Using Simulations and Matching Filters. Sensors 24 (4) (2024)
Donglin Zhu, Lei Fu, Vladimir Kazei, Weichang Li
Diffusion Model for DAS-VSP Data Denoising. Sensors 23 (20) (2023)
Yong Ma, Weichang Li
Robust Deep Learning Seismic Velocity Inversion Over Varying Acquisitions. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Ardiansyah Koeshidayatullah, Ivan Ferreira-Chacua, Weichang Li
Is attention all geosciences need? Advancing quantitative petrography with attention-based deep learning. Comput. Geosci. 181 (2023)
Antonio R. Paiva, Weichang Li, Chris A. Mattmann, Youzuo Lin, Maarten V. de Hoop
Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Weichang Li, Yisheng Guan, Zixi Liang, Shangying Huang
Visual Recognition of Modular Robot Configurations. ROBIO (2021)
Daniel Almeida Colombo, Ersan Turkoglu, Weichang Li, Diego Rovetta
Coupled physics-deep learning inversion. Comput. Geosci. 157 (2021)
Michael J. Bianco, Peter Gerstoft, James Traer, Emma Ozanich, Marie A. Roch, Sharon Gannot, Charles-Alban Deledalle, Weichang Li
Machine learning in acoustics: a review. CoRR (2019)
Robert Adams, Weichang Li, Jonathan Harrist, Tim Thiel, Muhammad Arsalan, Max Deffenbaugh
Recursive Least Squares Calibration of an Ultrasonic Transducer Array. IEEE SENSORS (2019)
Feng-Xiang Ge, Ying Chen, Weichang Li
Target detecton and tracking via structured convex optimization. ICASSP (2017)
Weichang Li, Thomas A. Badgwell
Structured covariance estimation for state prediction. CDC (2014)
Zhiwei Qin, Weichang Li, Firdaus Janoos
Sparse Reinforcement Learning via Convex Optimization. ICML (2014)
Mihajlo Grbovic, Weichang Li, Niranjan A. Subrahmanya, Adam K. Usadi, Slobodan Vucetic
Cold Start Approach for Data-Driven Fault Detection. IEEE Trans. Ind. Informatics 9 (4) (2013)
Po Hu, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi, Xiaoyan Zhu
Finding nuggets in IP portfolios: core patent mining through textual temporal analysis. CIKM (2012)
Huida Qiu, Yan Liu, Niranjan A. Subrahmanya, Weichang Li
Granger Causality for Time-Series Anomaly Detection. ICDM (2012)
Firdaus Janoos, Weichang Li, Niranjan A. Subrahmanya, István Ákos Mórocz, William M. Wells III
Identification of Recurrent Patterns in the Activation of Brain Networks. NIPS (2012)
Jie Tang, Bo Wang, Yang Yang, Po Hu, Yanting Zhao, Xinyu Yan, Bo Gao, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi
PatentMiner: topic-driven patent analysis and mining. KDD (2012)
Weichang Li, Niranjan A. Subrahmanya, Feng Xu
Online subspace and sparse filtering for target tracking in reverberant environment. SAM (2012)
Po Hu, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi, Xiaoyan Zhu
Generating Breakpoint-based Timeline Overview for News Topic Retrospection. ICDM (2011)
Weichang Li, Hongning Li, Min Xie, Shupo Bu
An Identity-based Secure Routing Protocol in WSNs. CIS (2011)
Weichang Li, James C. Preisig
Vector form EM and suboptimal joint state and parameter estimation. ICASSP (4) (2005)