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 Internet of things, cyber-physical systems, security & privacy, and machine learning. I am especially interested in developing novel techniques for the security, privacy, and safety of emerging IoT systems and machine learning algorithms.

Selected Publications [Full List]

• [SenSys'24] "An Online Defense against Object-Based LiDAR Attacks in Autonomous Driving", the 22nd ACM Conference on Embedded Networked Sensor Systems, Hangzhou, China, November 2024.
  
• [MobiCom'24] "Malicious Attacks against Multi-Sensor Fusion in Autonomous Driving", the 30th Annual International Conference on Mobile Computing and Networking, Washington, D.C., USA, November 2024.
  
• [AAAI'24] "Backdoor Attacks via Machine Unlearning", the 38th Annual AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 2024.
  
• [ACSAC'23] "Protecting Your Voice from Speech Synthesis Attacks", the 39th Annual Computer Security Applications Conference, Austin, USA, December 2023. (Distinguished Paper Award)
  
• [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, Copenhagen, Denmark, November 2023.
  
• [MobiCom'23] "Towards Generalized mmWave-based Human Pose Estimation through Signal Augmentation", the 29th Annual International Conference on Mobile Computing and Networking, Madrid, Spain, October 2023.
  
• [KDD'23] "PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text", the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, USA, August 2023.
  
• [SenSys'22] "Towards Backdoor Attacks against LiDAR Object Detection in Autonomous Driving", the 20th ACM Conference on Embedded Networked Sensor Systems, Boston, USA, November 2022.
  
• [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, Washington DC, USA, August 2022.
  
• [AAAI'22] "TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text", the 36th AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 2022.
  
• [AAAI'22] "Towards Automating Model Explanations with Certified Robustness Guarantees", the 36th AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 2022.
  
• [TKDD] "On the Robustness of Metric Learning: An Adversarial Perspective", ACM Transactions on Knowledge Discovery from Data, Vol. 16, No. 5, 2022.
  
• [CCS'21] "Can We Use Arbitrary Objects to Attack LiDAR Perception in Autonomous Driving?", the 28th ACM Conference on Computer and Communications Security, Virtual Conference, November 2021.[Video]
  
• [SenSys'21] "Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving", the 19th ACM Conference on Embedded Networked Sensor Systems, Virtual Conference, November 2021.[Video]
  
• [NeurIPS'21] "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning", the 35th Annual Conference on Neural Information Processing Systems, Virtual Conference, December 2021.
  
• [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, Virtual Conference, June 2021. [Video]
  
• [TMC] "PhaseAnti: an Anti-interference WiFi-based Activity Recognition System Using Interference-Independent Phase Component", accepted by IEEE Transactions on Mobile Computing.
  
• [MobiCom'20] "Towards 3D Human Pose Construction Using WiFi", the 26th ACM International Conference on Mobile Computing and Networking, London, UK, September 2020. [Video]
  
• [UbiComp'20] "DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition", the ACM International Joint Conference on Pervasive and Ubiquitous Computing, Cancun, Mexico, September 2020.
  
• [AAAI'20] "Pairwise Learning with Differential Privacy Guarantees", the 34th AAAI Conference on Artificial Intelligence, New York, USA, February 2020.
  
• [AAAI'20] "Towards Interpretation of Pairwise Learning", the 34th AAAI Conference on Artificial Intelligence, New York, USA, February 2020.
  
• [ICDCS'20] "Towards Differentially Private Truth Discovery for Crowd Sensing Systems", the 40th IEEE International Conference on Distributed Computing Systems, Singapore, July 2020.
  
• [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, Catania, Italy, July 2019.
  
• [IJCAI'19] "Towards Data Poisoning Attack against Knowledge Graph Embedding", the 28th International Joint Conference on Artificial Intelligence, Macao, China, August 2019.
  
• [MobiHoc'18] "Towards Data Poisoning Attacks in Crowd Sensing Systems", the 19th ACM Symposium on Mobile Ad Hoc Networking and Computing, Los Angeles, USA, June 2018. (Best Paper Award Nominee)
  
• [WWW'18] "Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing", the World Wide Web Conference, Lyon, France, April 2018.
  
• [KDD'18] "An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery", the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, United Kingdom, August 2018.
  
• [KDD'18] "Metric Learning from Probabilistic Labels", the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, United Kingdom, August 2018.
  
• [MobiCom'18] "Towards Environment Independent Device Free Human Activity Recognition ", the 24th Annual International Conference on Mobile Computing and Networking, New Delhi, India, October 2018.
  
• [ICDCS'18] "Towards Personalized Learning in Mobile Sensing Systems", the 38th International Conference on Distributed Computing Systems, Vienna, Austria, July 2018.
  
• [TPDS] "Towards Quality Aware Information Integration in Distributed Sensing Systems", IEEE Transactions on Parallel and Distributed Systems, Vol. 29, No. 1, 2018.
  
• [INFOCOM'17] "A Lightweight Privacy-Preserving Truth Discovery Framework for Mobile Crowd Sensing Systems", the 36th IEEE International Conference on Computer Communications, Atlanta, USA, May 2017.
  
• [SenSys'15] "Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems", the 13th ACM Conference on Embedded Networked Sensor Systems, Seoul, South Korea, November 2015.

Teaching

• Fall 2024, COM S 552: Principle of Operating Systems
• Spring 2024, COM S 672: Advanced Topics in Artificial Intelligence
• Fall 2023, COM S 552: Principle of Operating Systems
• Spring 2023, COM S 488/588: Computer Networks
• Fall 2022, CSCI 8945: Advanced Representation Learning
• Spring 2022, CSCI 8265: Trustworthy Machine Learning
• Fall 2021, CSCI 4760: Computer Networks
• Spring 2021, CSCI 4760: Computer Networks
• Fall 2020, CSCI 1100: Topics in Computing

Professional Activities

Program Committee Member

The 25th International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2024)

The 43rd IEEE International Conference on Computer Communications (INFOCOM 2024)

The 44th IEEE International Conference on Distributed Computing Systems (ICDCS 2024)

The 40th Annual Computer Security Applications Conference (ACSAC 2024)

The 12th International Conference on Learning Representations (ICLR 2024)

The 38th AAAI Conference on Artificial Intelligence (AAAI 2024)

The 39th Annual Computer Security Applications Conference (ACSAC 2023)

The 24th International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2023)

The 42nd IEEE International Conference on Computer Communications (INFOCOM 2023)

The 20th IEEE International Conference on Sensing, Communication and Networking (SECON 2023)

The 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023)

The 37th AAAI Conference on Artificial Intelligence (AAAI 2023)

The 23rd International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2022)

The 19th IEEE International Conference on Sensing, Communication and Networking (SECON 2022)

The 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2022)

The 36th AAAI Conference on Artificial Intelligence (AAAI 2022), Senior Program Committee Member

The 41st IEEE International Conference on Computer Communications (INFOCOM 2022)

The 40th IEEE International Conference on Computer Communications (INFOCOM 2021)

The 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

The 18th IEEE International Conference on Sensing, Communication and Networking (SECON 2021)

Journal Reviewer

IEEE/ACM Transactions on Networking (TON)

IEEE Transactions on Mobile Computing (TMC)

IEEE Transactions on Dependable and Secure Computing (TDSC)

IEEE Transactions on Information Forensics and Security (TIFS)

IEEE Transactions on Knowledge and Data Engineering (TKDE)

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

ACM Transactions on Sensor Networks (TOSN)

IEEE Transactions on Industrial Informatics (TII)

IEEE JSAC Special Issue on "Human-In-The-Loop Mobile Networks" (JSAC-HMN)

IEEE Transactions on Big Data (TBD)

Peer-to-Peer Networking and Applications

IEEE Communications Magazine

IEEE Network Magazine

IEEE Access