Curriculum Vitae
Department of Computer Science and Engineering
Ping Liu
Tenure-Track Assistant Professor, University of Nevada, Reno
Research
His research develops methods that diagnose what a generative model has learned, intervene on it selectively, and verify the result. Current work follows three directions:
- Concept erasure and machine unlearning: removing targeted concepts, including motion, from image and video generative models.
- Physically grounded text-to-video generation: making generated motion physically consistent while faithful to the prompt.
- Deepfake detection and media forensics: detecting forgeries that generalize to unseen generators and modalities.
Academic and Industry Positions
- 2024 to presentTenure-Track Assistant ProfessorcurrentDepartment of Computer Science and Engineering, University of Nevada, Reno, NV, USA
- 2022 to 2024Senior Scientist IICentre for Frontier AI Research (CFAR), Institute of High Performance Computing (IHPC), A*STAR, Singapore
- 2020 to 2022Scientist II / IIICFAR, IHPC, A*STAR, Singapore
- 2018 to 2020Research Fellow / LecturerCentre for Artificial Intelligence, University of Technology Sydney, Australia
- 2017 to 2019Research Scientist / ConsultantJD.com US Research Center, Mountain View, CA, USA
- 2015 to 2017Senior Applied Research EngineerSony US Research Center, San Jose, CA, USA
Education
- 2015Ph.D. in Computer Science and EngineeringUniversity of South Carolina, Columbia, SC, USA
- 2008M.Eng.Huazhong University of Science and Technology, Wuhan, China
- 2005B.Eng.Wuhan University of Technology, Wuhan, China
Research Funding (as PI)
MRI: Acquisition of HPGPU Cluster for Large-Scale AINSF Major Research Instrumentation Program (Award 2511989)
$597,1912025 to 2028
FirePrune: Multi-modal Dataset and MLLM-Guided Model Pruning for AI-Powered Wildfire DetectionNSF EPSCoR HDRFS Seed Grant
$30,0002025 to 2026
Imagining the Invisible: Improving Machine Perception and AnalysisA*STAR Career Development Funding (CDF) Award
SGD 147,0002022 to 2024
Safe Artificial Intelligence: Automated Adversarial Machine Learning for Fake Media DetectionA*STAR AI and Analytics Seed Grant
SGD 290,0002020 to 2021
Awards and Honors
- 2026Silver Reviewer AwardICML 2026
- 2024Best Paper Award (Survey)ACM Multimedia Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models
- 2015Outstanding Graduate Researcher AwardUniversity of South Carolina
Invited Talks
- Oct 2026Intervene and Verify: Toward Controllable Generative Models and World ModelsUniversity of California, Merced
Professional Memberships
IEEESenior Member
Languages
MandarinNative
EnglishC1
JapaneseA2, in progress