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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. http://yuanqidu.github.io/files/Expressive ASL Recognition using Millimeter-wave Wireless Signals.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 http://yuanqidu.github.io/files/From_Interatomic_Distances_to_Protein_Tertiary_Structures_with_a_Deep_Convolutional_Neural_Network.pdf

Interpretable Molecule Generation via Disentanglement Learning

Published in ACM BCB, 2020

Recommended citation: Yuanqi Du, Anowarul Kabir, Liang Zhao, Amarda Shehu. (2020). "Interpretable Molecule Generation via Disentanglement Learning." ACM BCB Workshops: Computational Structural Biology Workshop (CSBW) 2020 http://yuanqidu.github.io/files/Interpretable_Molecule_Generation_via_Disentanglement_Learning.pdf

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, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Xinbao Wu, 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

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.

Yuanqi Du