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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Wei Chen
About
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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publications
American Sign Language Recognition Using an FMCW Wireless Sensor
Published in AAAI, 2020
Recommended citation: Yuanqi Du, Nguyen Dang, Riley Wilkerson, Parth Pathak, Huzefa Rangwala, Jana Kosecka. (2020). "American Sign Language Recognition Using an FMCW Wireless Sensor." AAAI 2020 (Student Abstract) http://yuanqidu.github.io/files/American_Sign_Language_Recognition_Using_an_FMCW_Wireless_Sensor.pdf
Expressive ASL Recognition using Millimeter-wave Wireless Signals
Published in SECON, 2020
Recommended citation: Panneer Selvam Santhalingam, Yuanqi Du, Riley Wilkerson, Al Amin Hosain, Ding Zhang, Parth Pathak, Huzefa Rangwala and Raja Kushalnagar. (2020). "Expressive ASL Recognition using Millimeter-wave Wireless Signals.pdf." SECON 2020. https://yuanqidu.github.io/files/Expressive%20ASL%20Recognition%20using%20Millimeter-wave%20Wireless%20Signals.pdf
From Interatomic Distances to Protein Tertiary Structures with a Deep Convolutional Neural Network
Published in ACM BCB, 2020
Recommended citation: Yuanqi Du, Anowarul Kabir, Liang Zhao, Amarda Shehu. (2020). "From Interatomic Distances to Protein Tertiary Structures with a Deep Convolutional Neural Network." ACM BCB Workshops: Computational Structural Biology Workshop (CSBW) 2020
Interpretable Molecule Generation via Disentanglement Learning
Published in ACM BCB, 2020
Recommended citation: Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao. (2020). "Interpretable Molecule Generation via Disentanglement Learning." ACM BCB Workshops: Computational Structural Biology Workshop (CSBW) 2020
Property Controllable Variational Autoencoder via Invertible Mutual Dependence
Published in ICLR, 2021
Recommended citation: Xiaojie Guo, Yuanqi Du, Liang Zhao (2021). "Property Controllable Variational Autoencoder via Invertible Mutual Dependence." International Conference on Learning Representations (ICLR) 2021
Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models
Published in IPCAI, 2021
Recommended citation: Pengbo Liu, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Xinbao Wu, Hu Han, S. Kevin Zhou. (2021). "Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models." IPCAI 2021
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Undergraduate Teaching Assistant (Object-Oriented Programming)
CS 211 (Object-Oriented Programming), George Mason University, Department of Computer science, 2018
Award: Outstanding UTA Award (2018-2019)
Undergraduate Teaching Assistant (Data Structures)
CS 310 (Data Structures), George Mason University, Department of Computer science, 2019
Award: Outstanding UTA Award (2018-2019)
Peer Mentor (Engineering & Science)
Engineering & Science Classes, George Mason University, Volgenau School of Engineering, 2019
Undergraduate Teaching Assistant (Data Mining)
CS 484 (Data Mining), George Mason University, Department of Computer science, 2019
Award: Distinguished UTA Award (2019-2020)