Ling
Liu

General Information

Email:
lingliu@cc.gatech.edu
Phone:
404 385 1139
Location - Building:
KACB
Location - Room:
3340
Roles:
Professor (any rank)
Primary Unit:
School of Computer Science
Website URL
My Home Page at Georgia Tech

Details

Degrees with subject and Postdoc Experience:
Degree Type
Ph.D.
Subject
Computer Science
Year
1993
Institution
Tilburg University
Location
Tilburg, The Netherlands
Statement of Research Interests:

Distributed Data Intensive Systems from performance, scalability, fault tolerance to Trust, Privacy, Security at both Systems level and Data Level, with the following areas as some of my main interests: 

*** distributed computing systems, Data storage and retrieval, 

*** Device-Edge-Cloud Computing and Networked Systems, 

*** Efficient and Trustworthy AI systems and algorithms, 

*** Embedded AI and Multimodal AI systems and optimizations, 

*** Localization and Mobile Systems.  

Statement of Teaching Interests:

Big Data Systems and Analytics, covering cutting edge technology, systems, algorithms, optimizations and open challenges in this broad area.

Internet Computing Systems and Applications, covering cutting edge Internet scale systems, algorithms, optimizations and open challenges.

Selection of recent research, scholarly, and creative activities:

Five Recent Journal/Conference Publications:

Wenqi Wei and Ling Liu. Trustworthy Distributed AI Systems: Robustness, Privacy and Governance, ACM Computing Surveys. Special Issue on Trustworthy AI. Vol. 57, No. 6. pp1-42. 10 February 2025. https://dl.acm.org/doi/10.1145/3645102 

 

Fatih Ilhan, Gong Su, Selim Tekin, Tiansheng Huang, Sihao Hu, Ling Liu. Resource-Efficient Transformer Pruning for Finetuning of Large Models, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), June 17-21, 2024, Seattle, USA. DOI: 10.1109/CVPR52733.2024.01534

 

Sihao Hu, Tiansheng Huang, Gaowen Liu, Ramana Rao Kompella, Ling Liu. PokeLLMon: A Grounding and Reasoning Benchmark for Large Language Models in Pok.mon Battles. ACM Transactions on Internet Technology (TIST), Special Issue on Reliable Infrastructure and Edge Analytics for IoT. Vol. 26, No. 1, page 1-23. 14 January 2026. https://dl.acm.org/doi/10.1145/3771095

 

Selim Tekin, Fatih Ilhan, Sihao Hu, Tiansheng Huang, Margaret Loper, Ling Liu. Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning. ACM Transactions in on Intelligent Systems and Technology (TIST). 18 September 2025. Vol 16, No. 5. Pp1-34. https://doi.org/10.1145/3746457

 

Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim F. Tekin, Ling Liu. Booster: Tackling Harmful Fine-tuing for Large Language Models via Attenuating Harmful Perturbation, Proceedings of International Conference on Learning Representations (ICLR 2025), April 24-28, 2025.  Oral Presentation. https://proceedings.iclr.cc/paper_files/paper/2025/file/a7ac8a21e5a27e7ab31a5f42a0117bdb-Paper-Conference.pdf