Dr. Yucheng Xie is currently a tenure-track Assistant Professor in the Graduate Department of Computer Science and Engineering at Yeshiva University.

I am looking for self-motivated Ph.D. students to join my research group. Please drop me an email if you are interested in working with me!

Education

• Ph.D. in Electrical and Computer Engineering, Purdue University, 2023
• Master in Computer Science, Stevens Institute of Technology, 2018

Professional Experience

• Assistant Professor, Yeshiva University, 2024-Present
• Visiting Assistant Professor, Purdue University, 2023-2024

Research Interests

• Security in Machine Learning/Artificial Intelligent Systems
• Smart and Mobile Healthcare
• Mobile Computing and Sensing

Research News

• [October 2024] Our paper "Towards Contactless Human Concentration Monitoring Using mmWave Signals" has been accepted by IEEE CIC!
• [October 2024] I am serving on the Organizing Committee of IEEE/ACM CHASE 2025!
• [September 2024] Our paper "mmPalm: Unlocking Ubiquitous User Authentication through Palm Recognition with mmWave Signals" has received the Best Paper Award Runner-up at IEEE CNS!
• [September 2024] We are organizing the IEEE International Conference on Digital Data Processing at the Yeshiva University Museum in New York City!
• [July 2024] I am serving as a session chair of IEEE International Conference on Distributed Computing Systems in Jersey City!
• [July 2023] I have successfully defended my PhD dissertation! Thanks to all of the committee members!
• [May 2023] Our paper "Universal Targeted Adversarial Attacks against mmWave-based Human Activity Recognition" has been accepted by IEEE INFOCOM!
• [July 2023] Our paper "Secure and Efficient Mobile DNN Using Trusted Execution Environments" has been accepted by ACM ASIACCS!
• [November 2022] Our paper "mmEat: Millimeter Wave-enabled Environment-invariant Eating Behavior Monitoring" has been accepted by IEEE/ACM CHASE!
• [July 2022] Our paper "mmFit: Low-effort Personalized Fitness Monitoring Using Millimeter Wave" has received the Best Paper Award Runner-up at IEEE ICCCN!
• [June 2022] Our poster "Universal Targeted Attacks against mmWave-based Human Activity Recognition System" has been presented at ACM MobiSys!
• [October 2021] Our paper "Environment-independent in-baggage Object Identification Using WiFi Signals" has been accepted by IEEE MASS!
• [June 2021] Our paper "Mixp: Efficient Deep Neural Networks Pruning for Further Flops Compression via Neuron Bond" has been accepted by IEEE IJCNN!
• [July 2020] Our paper "LiveScreen: Video Chat Liveness Detection Leveraging Skin Reflection" has been accepted by IEEE INFOCOM!
• [July 2020] Our paper "Mu-id: Multi-user Identification through Gaits Using Millimeter Wave Radios" has been accepted by IEEE INFOCOM!
• [August 2020] Our paper "Mobile Device Usage Recommendation based on User Context Inference Using Embedded Sensors" has been accepted by IEEE ICCCN!
• [August 2020] Our paper "WiEat: Fine-grained Device-free Eating Monitoring Leveraging WiFi Signals" has been accepted by IEEE ICCCN!

Publications

Conferences and Posters:

• [IEEE CIC’24] Yuan Ge, Yi Wei, Xiaonan Guo, Yucheng Xie, Yan Wang, Jerry Cheng, Yingying Chen, “Towards Contactless Human Concentration Monitoring Using mmWave Signals,” in IEEE International Conference on Collaboration and Internet Computing (CIC), 2024.
• [IEEE CNS’24] Yucheng Xie, Xiaonan Guo, Yan Wang, Jerry Cheng, Tianfang Zhang, Yingying Chen, Yi Wei, Yuan Ge, “mmPalm: Unlocking Ubiquitous User Authentication through Palm Recognition with mmWave Signals,” in IEEE Conference on Communications and Network Security (CNS), 2024. --Best Paper Award Runner-up
• [IEEE INFOCOM’23] Yucheng Xie, Xiaonan Guo, Yan Wang, Jerry Cheng, Yingying Chen, “Universal Targeted Adversarial Attacks against mmWave-based Human Activity Recognition,” in IEEE Conference on Computer Communications (INFOCOM), 2023. (Acceptance rate: 252/1312 = 19.2%)
• [ACM ASIACCS’23] Bin Hu, Yan Wang, Jerry Cheng, Tianming Zhao, Yucheng Xie, Xiaonan Guo, Yingying, “Secure and Efficient Mobile DNN Using Trusted Execution Environments,” in ACM Asia Conference on Computer and Communications Security (ASIACCS), 2023. (Acceptance rate: 35/204 = 17%)
• [IEEE ICCCN’22] Yucheng Xie, Ruizhe Jiang, Xiaonan Guo, Yan Wang, Jerry Cheng, Yingying Chen, “mmFit: Low-effort Personalized Fitness Monitoring Using Millimeter Wave,” in IEEE International Conference on Computer Communications and Networks (ICCCN). IEEE, 2022. --Best Paper Award Runner-up
• [IEEE/ACM CHASE’22] Yucheng Xie, Ruizhe Jiang, Xiaonan Guo, Yan Wang, Jerry Cheng, Yingying Chen, “mmEat: Millimeter wave-enabled Environment-invariant Eating Behavior Monitoring,” IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2022.
• [ACM MobiSys’22] Yucheng Xie, Ruizhe Jiang, Xiaonan Guo, Yan Wang, Jerry Cheng, Yingying Chen, “Universal Targeted Attacks against mmWave-based Human Activity Recognition System,” in ACM International Conference on Mobile Systems, Applications and Services (MobiSys), 2022.
• [IEEE MASS’21] Cong Shi, Tianming Zhao, Yucheng Xie, Tianfang Zhang, Yan Wang, Xiaonan Guo, Yingying Chen, “Environment-independent in-baggage Object Identification Using WiFi Signals,” in IEEE International Conference on Mobile Ad Hoc and Smart Systems (MASS), 2021.
• [IEEE IJCNN’21] Bin Hu, Tianming Zhao, Yucheng Xie, Yan Wang, Xiaonan Guo, Jerry Cheng, Yingying Chen, “Mixp: Efficient Deep Neural Networks Pruning for Further Flops Compression via Neuron Bond,” in IEEE International Joint Conference on Neural Networks (IJCNN), 2021.
• [IEEE INFOCOM’20] Hongbo Liu, Zhihua Li, Yucheng Xie, Ruizhe Jiang, Yan Wang, Xiaonan Guo, Yingying Chen, “LiveScreen: Video Chat Liveness Detection Leveraging Skin Reflection,” in IEEE Conference on Computer Communications (INFOCOM), 2020. (Acceptance rate: 268/1354=19.8%)
• [IEEE INFOCOM’20] Xin Yang, Jian Liu, Yingying Chen, Xiaonan Guo, Yucheng Xie, “Mu-id: Multi-user Identification through Gaits Using Millimeter Wave Radios,” in IEEE Conference on Computer Communications (INFOCOM), 2020. (Acceptance rate: 268/1354=19.8%)
• [IEEE ICCCN’20] Cong Shi, Xiaonan Guo, Ting Yu, Yingying Chen, Yucheng Xie, Jian Liu, “Mobile Device Usage Recommendation based on User Context Inference Using Embedded Sensors,” in IEEE International Conference on Computer Communications and Networks (ICCCN), 2020.
• [IEEE ICCCN’20] Zhenzhe Lin, Yucheng Xie, Xiaonan Guo, Yanzhi Ren, Yingying Chen, Chen Wang, “WiEat: Fine-grained Device-free Eating Monitoring Leveraging WiFi Signals,” in IEEE International Conference on Computer Communications and Networks (ICCCN), 2020.
• [EAI Healthy IoT’19] Zhenzhe Lin, Yucheng Xie, Xiaonan Guo, Chen Wang, Yanzhi Ren, Yingying Chen, “WiFi-enabled Automatic Eating Moment Monitoring Using Smartphones,” in IoT Technologies for HealthCare: EAI International Conference (HealthyIoT), 2019. --Best Paper Award
• [ACM MOBICOM’19] Hongbo Liu, Zhihua Li, Yucheng Xie, Ruizhe Jiang, Yan Wang, Xiaonan Guo, Yingying Chen, “Poster: Video Chat Scam Detection Leveraging Screen Light Reflection,” in ACM Annual International Conference on Mobile Computing and Networking (MOBICOM), 2019.

Journals:

• [Proceedings of the IEEE’22] Tianming Zhao, Yucheng Xie, Yan Wang, Jerry Cheng, Xiaonan Guo, Bin Hu, Yingying Chen, “A survey of deep learning on mobile devices: Applications, optimizations, challenges, and research opportunities,” Proceedings of the IEEE, 2022.

Books:

• Network Security Empowered by Artificial Intelligence, Network Security, 2024.

Recent Awards & Honors

• Best Paper Award Runner-up, IEEE Conference on Communications and Network Security (IEEE CNS), 2024.
• Best Paper Award Runner-up, IEEE International Conference on Computer Communications and Networks (IEEE ICCCN), 2022.
• Best Paper Award, EAI International Conference on IoT Technologies for HealthCare (EAI HealthyIoT), 2019.
• Travel Grant, IEEE International Conference on Distributed Computing Systems (ICDCS), 2024.
• Travel Grant, IEEE International Conference on Computer Communications (INFOCOM), 2023.
• Travel Grant, ACM International Conference on Mobile Systems, Applications, and Services (MobiSys) 2022.
• Postgraduate Scholarship, Purdue University, 2018-2023.

Teaching Experiences

• AIM-5008 Capstone, 2024 Fall
• AIM-5003 Numerical Methods, 2024 Fall
• CIT-58100 Advanced Programming in IT, 2024 Spring
• CIT-15000 Introduction to Cybersecurity, 2023 Fall
• CIT-14000 Python Programming, 2024 Spring, 2023 Fall, 2023 Spring, 2022 Fall

Professional Services

• Session Chair for 44th IEEE International Conference on Distributed Computing Systems
• HotCRP Chair for IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies 2025
• Reviewer for Journals and Conference: IEEE Transactions on Computational Social Systems, IEEE Intelligent Transportation Systems Transactions, IEEE Transactions on Intelligent Vehicles, ACM Transactions on Computing for Healthcare, Elsevier Computer Networks, IEEE Transactions on Information Forensics & Security, IEEE/ACM Transactions on Networking, IEEE International Conference on Multimedia Information Processing and Retrieval, IEEE International Joint Conference on Biometrics, IEEE Transactions on Computers, ACM Transactions on Sensor Networks