PING LIU
Scholar

PING LIU

Google Scholar ID: KRz4JecAAAAJ
UNR, US; Center for Frontier AI Research (CFAR), SG; IHPC, SG; UTS, AU
Computer VisionMachine Learning
Citations & Impact
All-time
Citations
6,123
 
H-index
28
 
i10-index
44
 
Publications
20
 
Co-authors
37
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Publications:
  • - “ADD: An Automated Neural Architecture Search Baseline for Deepfake Detection” accepted by IEEE International Workshop on Information Forensics and Security (WIFS) 2025
  • - “Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation” accepted by IEEE Transactions on Neural Networks and Learning Systems 2025
  • - “Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization” accepted by IEEE Transactions on Multimedia 2025
  • - “CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution” accepted by IEEE Transactions on Multimedia 2025
  • - Awards: Team member awarded the Graduate Dean’s Merit Scholarship for the second time
  • - Projects:
  • - “AI-Powered Wildfire Detection” project selected for funding by NSF EPSCoR
  • - “Acquisition of a High-Performance GPU Cluster for Large-Scale AI” project selected for funding by NSF
  • - Other Academic Contributions:
  • - Invited as a senior PC member for AAAI 2026
  • - Updated survey on facial deepfake detection: “Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges”
Research Experience
  • - Senior Research Scientist, II, at Center for Frontier AI Research (CFAR), Agency for Science, Technology, and Research (ASTAR), Singapore, from 2020 to 2024
  • - Research Fellow and Contract Lecturer at University of Technology Sydney (UTS), Sydney, AUS, before joining ASTAR
  • - Research Assistant in the Intelligent Systems and Biomedical Robotics Group (ISBRG), University of Portsmouth, UK
Education
  • - Ph.D. degree: Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, US
  • - Master's Degree: Huazhong University of Science and Technology (HUST), WuHan, China
  • - Bachelor's Degree (EE): Wuhan University of Technology (WUT), WuHan, China
Background
  • Research Interests: AIGC, Face-centric AI, Efficient AI. Brief: Tenure Track Assistant Professor in the Department of Computer Science and Engineering at the University of Nevada, Reno.
Miscellany
  • Personal interests not mentioned