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Posts by Collection
portfolio
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publications
Automation of Dormant Pruning in Specialty Crop Production: An Adaptive Framework for Automatic Reconstruction and Modeling of Apple Trees
Published in CVPR, 2015
Noha M. Elfiky, Shayan A. Akbar, Jianxin Sun, Johnny Park, Avinash Kak
Modeling dormant fruit trees for agricultural automation
Published in Journal of Field Robotics, 2017
Henry Medeiros, Donghun Kim, Jianxin Sun, Hariharan Seshadri, Shayan Ali Akbar, Noha M Elfiky, Johnny Park
Exploring eye tracking data on source code via dual space analysis
Published in Working Conference on Software Visualization (VISSOFT), 2019
Li Zhang, Jianxin Sun, Cole Peterson, Bonita Sharif, Hongfeng Yu
Spatial-temporal scientific data clustering via deep convolutional neural network
Published in IEEE International Conference on Big Data (Big Data), 2019
Jianxin Sun, Chunxia Wu, Yufeng Ge, Yusong Li, Hongfeng Yu
Plant Event Detection from Time-Varying Point Clouds
Published in IEEE International Conference on Big Data (Big Data), 2019
Tian Gao, Jianxin Sun, Feiyu Zhu, Henry Akrofi Doku, Yu Pan, Harkamal Walia, Hongfeng Yu
Novel 3D imaging systems for high-throughput phenotyping of plants
Published in Remote Sensing, 2021
Tian Gao, Feiyu Zhu, Puneet Paul, Jaspreet Sandhu, Henry Akrofi Doku, Jianxin Sun, Yu Pan, Paul Staswick, Harkamal Walia, Hongfeng Yu
OneLNK: One Link to Rule Them All: Web-based Wireless Experimentation for Multi-vendor Remotely Accessible Indoor/Outdoor Testbeds
Published in Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization, 2022
Mohammad MR Lunar, Jianxin Sun, John Wensowitch, Michael Fay, Halit Bugra Tulay, Venkat Sai Suman Lamba Karanam, Brian Qiu, Deepak Nadig, Garhan Attebury, Hongfeng Yu, Joseph Camp, Can Emre Koksal, Dario Pompili, Byrav Ramamurthy, Morteza Hashemi, Eylem Ekici, Mehmet C Vuran
Application of machine learning in groundwater quality modeling-A comprehensive review
Published in Water Research, 2023
Ryan Haggerty, Jianxin Sun, Hongfeng Yu, Yusong Li
Transforming agriculture with intelligent data management and insights
Published in IEEE International Conference on Big Data (BigData), 2023
Yu Pan, Jianxin Sun, Hongfeng Yu, Geng Bai, Yufeng Ge, Joe Luck, Tala Awada
Empowering Cover Crop Decision Support with Visualization and Provenance Enhancement
Published in IEEE International Conference on Big Data (BigData), 2023
Sujan Shrestha, Jianxin Sun, Katja Koehler-Cole, Andrea Basche, Hongfeng Yu
Lm-diskann: Low memory footprint in disk-native dynamic graph-based ann indexing
Published in IEEE International Conference on Big Data (BigData), 2023
Yu Pan, Jianxin Sun, Hongfeng Yu
Scalable volume visualization for big scientific data modeled by functional approximation
Published in IEEE International Conference on Big Data (BigData), 2023
Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
Visualization of 3D Hyperspectral Soil Mapping Data via Autoencoder-based Clustering
Published in IEEE International Conference on Big Data (BigData), 2023
Jianxin Sun, Xinyan Xie, Yu Pan, Yakub Islamov, Yufeng Ge, Hongfeng Yu
Tissue-Specific Color Encoding and GAN Synthesis for Enhanced Medical Image Generation
Published in IEEE International Conference on Big Data (BigData), 2023
Yu Shi, Hannah Tang, Jianxin Sun, Xinyan Xie, Huijing Du, Dandan Zheng, Chi Zhang, Hongfeng Yu
Accelerating Web-based Graph Visualization with Pixel-Based Edge Bundling
Published in IEEE International Conference on Big Data (BigData), 2023
Jieting Wu, Jianxin Sun, Xinyan Xie, Tian Gao, Yu Pan, Hongfeng Yu
MFA-DVR: direct volume rendering of MFA models
Published in Journal of Visualization, 2024
Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
Rmdncache: Dual-space prefetching neural network for large-scale volume visualization
Published in IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024
Jianxin Sun, Xinyan Xie, Hongfeng Yu
Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation
Published in IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2024
Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka
Estimating the Winter Biomass Potential of Four Cover Crop Species: Wheat, Rye, Triticale, and Canola
Published in ASA, CSSA, SSSA International Annual Meeting, 2024
Vesh R Thapa, Jianxin Sun, Katja Koehler-Cole, David Scoby, Geng Frank Bai, Yufeng Ge, Hongfeng Yu, Andrea Basche
Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis
Published in IEEE International Conference on Big Data (BigData), 2024
Yu Pan, Jianxin Sun, Hongfeng Yu, Joe Luck, Geng Bai, Nipuna Chamara, Yufeng Ge, Tala Awada
talks
Unveiling Soil Mapping through 3D Hyperspectral Imaging and Visualization
Published:
We provide a new 3D hyperspectral data capturing feature deep into the soil, where each voxel represents a spectrum vector. For effective analysis of this type of new hyperspectral data, we develop a 3D visualization tool to not only directly visualize the individual spectrum of the soil volume but also provide a way to cluster such high-dimensional data, leveraging a deep learning-based method through autoencoder.
Introduction to Running Machine Learning Workflows on HPC
Published:
Introduction to running deep-learning research projects on the HPC infrastructure of Holland Computing Center.
Interactive Volume Visualization of Large-scale Scientific Data Modeled by Functional Approximation
Published:
My work aims to improve the quality and performance of volume rendering and study their interplay by holistically considering multiple aspects of a volume rendering pipeline, such as data representations, visualization algorithms, and computing system support.
teaching
ECE 20700 - Electronic Measurement Techniques
Undergraduate course, Electrical and Computer Engineering, Purdue University, 2015