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:

  • Feb 2025: Our work “MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing” is accepted by CVPR 2025. Congratulations to Dr. Feifei Shao!
  • Feb 2025: Our work “Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC” is posted online
  • 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. Congratulations to Dr. Xin Zhang!
  • Dec 2024: Our work “Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization” is accepted by IEEE Transactions on Multimedia. Congratulations to Dr. Feifei Shao!
  • Dec 2024: Our work “CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution” is posted online
  • 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. Congratulations to Baolu Li!
  • Nov 2024: Invited to serve as Area Chair at IJCAI 2025.
  • Oct 2024: Our work, “Robust Deepfake Detection by Addressing Generalization and Trustworthiness Challenges: A Short Survey” received Best Paper Award (Survey) at ACM MM 2024 Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models. Congratulations and heartfelt thanks to all co-authors!
  • Oct 2024: Elected among World’s Top 2% Scientists 2024 based on Stanford and Elsevier Data
  • Sep 2024: Siwei MENG received Graduate Dean’s Merit Scholar Award from UNR. Congratulations to Siwei MENG!
  • Sep 2024: Our work “Robust Deepfake Detection by Addressing Generalization and Trustworthiness Challenges: A Short Survey” is accepted by ACM MM 2024 Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models.