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:

  • June 2026: Our work: “RIGI: Rectifying Image-to-3D Generation Inconsistency via Uncertainty-aware Learning” is accepted by IEEE Transactions on Image Processing.
  • May 2026: Our work: “Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models” is posted online.
  • May 2026: Our work: “Where Concept Erasure Should Occur: Concept–Layer Alignment in Text-to-Video Diffusion Models” is accepted by ICML 2026.
  • Apr 2026: Our work: “ABCDE: Agentic-Based Controlled Dynamic Erasure for Intent-Aware Safety Reasoning” is accepted by Transactions on Machine Learning Research.
  • Mar 2026: Our work “PROBE: Diagnosing Residual Concept Capacity in Erased Text-to-Video Diffusion Models” is posted online.
  • Feb 2026: I am invited as Area Chair for ACM MM 2026.
  • Feb 2026: Our work “Closed-Form Concept Erasure via Double Projections” is accepted by CVPR 2026.
  • Feb 2026: Our work “Low-Rank Test-Time Training for Pre-Trained Point Cloud Models” is accepted by CVPR 2026.
  • Feb 2026: Our workshop proposal, SynthIR: The First Workshop on Synthetic Content in Information Retrieval Ecosystems, has been accepted at SIGIR 2026! Looking forward to building this conversation with the research community — stay tuned for the CFP!
  • Jan 2026: Our work “Machine Unlearning under Retain–Forget Entanglement” is accepted by ICLR 2026.
  • Jan 2026: I am invited as a senior PC member for IJCAI 2026.
  • Dec 2025: We will organize workshop “Physics-Driven AIGC: Physically-Consistent Video, 4D Scene, and World Generation” on ICME 2026. More details will be released soon on the website.
  • Sep 2025: Our work “ADD: An Automated Neural Architecture Search Baseline for Deepfake Detection” is accepted by IEEE International Workshop on Information Forensics and Security (WIFS) 2025.
  • Aug 2025: Our proposal “Acquisition of a High-Performance GPU Cluster for Large-Scale AI” has been selected for funding by NSF, and I am honored to serve as the Principal Investigator (PI) on this project.
  • Jul 2025: Our work “Advances in 4D Generation: Techniques, Challenges, and Future Directions” is posted online
  • Jul 2025: I am invited as a senior PC member for AAAI 2026.
  • Jun 2025: Our work “Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation” is accepted by IEEE Transactions on Neural Networks and Learning Systems.
  • Jun 2025: Our work “Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization” is accepted by IEEE Transactions on Multimedia.
  • Jun 2025: Our work “SEED: A Benchmark Dataset for Sequential Facial Attribute Editing with Diffusion Models” is posted online