Openings | Biography | Publications | Teaching | Professional Activities
Openings: I am looking for prospective Ph.D students. If you are interested in working with me, feel free to send me your CV. Graduate admission information can be found here.
Biography
I am currently an assistant professor in the Department of Computer Science at Iowa State University. Prior to joining Iowa State, I was an assistant professor of Computer Science at the University of Georgia from 2020 to 2022. I obtained my Ph.D. in Computer Science and Engineering from the State University of New York at Buffalo, where I was supervised by Prof. Lu Su. My research interests include the Internet of Things, cyber-physical systems, security and privacy, and artificial intelligence (AI). My current work primarily focuses on designing and deploying trustworthy AI techniques for mobile, embedded, and networked systems.
Selected Publications [Full List]
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[NDSS'26]
"Rethinking Fake Speech Detection: A Generalized Framework Leveraging Spectrogram Magnitude",
the Network and Distributed System Security Symposium, February 2026.
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[CCS'25]
"Towards Real-Time Defense against Object-Based LiDAR Attacks in Autonomous Driving",
the 32nd ACM Conference on Computer and Communications Security, October 2025.
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[SenSys'24]
"An Online Defense against Object-Based LiDAR Attacks in Autonomous Driving",
the 22nd ACM Conference on Embedded Networked Sensor Systems, November 2024.
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[MobiCom'24]
"Malicious Attacks against Multi-Sensor Fusion in Autonomous Driving",
the 30th Annual International Conference on Mobile Computing and Networking, November 2024.
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[AAAI'24]
"Backdoor Attacks via Machine Unlearning",
the 38th Annual AAAI Conference on Artificial Intelligence, February 2024.
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[ACSAC'23]
"Protecting Your Voice from Speech Synthesis Attacks",
the 39th Annual Computer Security Applications Conference, December 2023. (Distinguished Paper Award)
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[CCS'23]
"TileMask: A Passive-Reflection-based Attack against mmWave Radar Object Detection in Autonomous Driving",
the 30th ACM Conference on Computer and Communications Security, November 2023.
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[MobiCom'23]
"Towards Generalized mmWave-based Human Pose Estimation through Signal Augmentation",
the 29th Annual International Conference on Mobile Computing and Networking, October 2023.
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[KDD'23]
"PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text",
the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2023.
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[SenSys'22]
"Towards Backdoor Attacks against LiDAR Object Detection in Autonomous Driving",
the 20th ACM Conference on Embedded Networked Sensor Systems, November 2022.
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[KDD'22]
"LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization",
the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2022.
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[AAAI'22]
"TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text",
the 36th AAAI Conference on Artificial Intelligence, February 2022.
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[AAAI'22]
"Towards Automating Model Explanations with Certified Robustness Guarantees",
the 36th AAAI Conference on Artificial Intelligence, February 2022.
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[TKDD]
"On the Robustness of Metric Learning: An Adversarial Perspective",
ACM Transactions on Knowledge Discovery from Data, Vol. 16, No. 5, 2022.
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[CCS'21]
"Can We Use Arbitrary Objects to Attack LiDAR Perception in Autonomous Driving?",
the 28th ACM Conference on Computer and Communications Security, November 2021.[Video]
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[SenSys'21]
"Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving",
the 19th ACM Conference on Embedded Networked Sensor Systems, November 2021.[Video]
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[NeurIPS'21]
"Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning",
the 35th Annual Conference on Neural Information Processing Systems, December 2021.
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[MobiSys'21]
"mmMesh: Towards 3D Real-Time Dynamic Human Mesh Construction Using Millimeter-wave",
the 19th ACM International Conference on Mobile Systems, Applications, and Services, June 2021. [Video]
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[TMC]
"PhaseAnti: an Anti-interference WiFi-based Activity Recognition System Using Interference-Independent Phase Component",
accepted by IEEE Transactions on Mobile Computing.
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[MobiCom'20]
"Towards 3D Human Pose Construction Using WiFi",
the 26th ACM International Conference on Mobile Computing and Networking, September 2020. [Video]
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[UbiComp'20]
"DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition",
the ACM International Joint Conference on Pervasive and Ubiquitous Computing, September 2020.
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[AAAI'20]
"Pairwise Learning with Differential Privacy Guarantees",
the 34th AAAI Conference on Artificial Intelligence, February 2020.
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[AAAI'20]
"Towards Interpretation of Pairwise Learning",
the 34th AAAI Conference on Artificial Intelligence, February 2020.
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[ICDCS'20]
"Towards Differentially Private Truth Discovery for Crowd Sensing Systems",
the 40th IEEE International Conference on Distributed Computing Systems, July 2020.
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[MobiHoc'19]
"DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data",
the 20th ACM Symposium on Mobile Ad Hoc Networking and Computing, July 2019.
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[IJCAI'19]
"Towards Data Poisoning Attack against Knowledge Graph Embedding",
the 28th International Joint Conference on Artificial Intelligence, August 2019.
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[MobiHoc'18]
"Towards Data Poisoning Attacks in Crowd Sensing Systems",
the 19th ACM Symposium on Mobile Ad Hoc Networking and Computing, June 2018. (Best Paper Award Nominee)
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[WWW'18]
"Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing",
the World Wide Web Conference, April 2018.
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[KDD'18]
"An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery",
the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2018.
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[KDD'18]
"Metric Learning from Probabilistic Labels",
the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2018.
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[MobiCom'18]
"Towards Environment Independent Device Free Human Activity Recognition ",
the 24th Annual International Conference on Mobile Computing and Networking, October 2018.
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[ICDCS'18]
"Towards Personalized Learning in Mobile Sensing Systems",
the 38th International Conference on Distributed Computing Systems, July 2018.
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[TPDS]
"Towards Quality Aware Information Integration in Distributed Sensing Systems",
IEEE Transactions on Parallel and Distributed Systems, Vol. 29, No. 1, 2018.
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[INFOCOM'17]
"A Lightweight Privacy-Preserving Truth Discovery Framework for Mobile Crowd Sensing Systems",
the 36th IEEE International Conference on Computer Communications, May 2017.
- [SenSys'15] "Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems", the 13th ACM Conference on Embedded Networked Sensor Systems, November 2015.
Teaching
- Spring 2026, COMS 3520: Introduction to Operating Systems
- Fall 2025, COMS 5520: Principle of Operating Systems
- Spring 2025, COMS 4880/5880: Computer Networks
- Fall 2024, COMS 5520: Principle of Operating Systems
- Spring 2024, COMS 6720: Advanced Topics in Computational Intelligence
- Fall 2023, COMS 5520: Principle of Operating Systems
- Spring 2023, COMS 4880/5880: Computer Networks