Dr. Ping LIU is a Tenure Track Assistant Professor in Department of Computer Science and Engineering, University of Nevada, Reno. From 2020 to 2024, Dr. Ping LIU was a senior research scientist, II, at Center for Frontier AI Research (CFAR), Agency for Science, Technology, and Research (ASTAR), Singapore. Before joining ASTAR, he was a research fellow and a contract lecturer at University of Technology Sydney (UTS), Sydney, AUS.

He received his Ph.D degree from Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, US. Before that, he was a research assistant in the Intelligent Systems and Biomedical Robotics Group (ISBRG), University of Portsmouth, UK. He got his Master Degree from Huazhong University of Science and Technology (HUST), WuHan, China; Bachelor Degree (EE) from Wuhan University of Technology (WUT), WuHan, China.

Research Interest:

AIGC, Face-centric AI, Efficient AI

News:

  • Apr 2025: Our work “Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC” is accepted by IJCAI 2025 survey track. Congratulations to Siwei!
  • Apr 2025: Our team member was awarded the Graduate Dean’s Merit Scholarship for the second time!
  • Apr 2025: Our work “CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution” is accepted by IEEE Transactions on Multimedia.
  • Apr 2025: We have just updated our survey on facial deepfake detection: “Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges” online
  • Mar 2025: Our work “DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation” is accepted by IEEE Transactions on Image Processing 2025.
  • Feb 2025: Our work “MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing” is accepted by CVPR 2025.
  • Feb 2025: I am invited as an Area Chair for ACM MM 2025.
  • Feb 2025: Our work “The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solution” is posted online
  • Jan 2025: Our work “Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator” is accepted by ICLR 2025.
  • Dec 2024: Our work “Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization” is accepted by IEEE Transactions on Multimedia.
  • Dec 2024: Our work “RIGI: Rectifying Image-to-3D Generation Inconsistency via Uncertainty-aware Learning” is posted online
  • Nov 2024: Our work “Enhancing Vehicle Re-identification by Pair-flexible Pose Guided Vehicle Image Synthesis” is accepted by Green Energy and Intelligent Transportation.
  • Nov 2024: Invited to serve as Area Chair at IJCAI 2025.