Biography
I am currently a AI Research Scientist at Meta. I received my Ph.D. in Computer Science from Washington University in St. Louis. Prior to that, I earned dual Bachelor’s degrees in Communication Engineering from the University of Electronic Science and Technology of China and the University of Glasgow, graduating with First-Class Honours.
Publications
■ EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
Han Liu, Ruoyao Wen, Srijith Nair, Jia Liu, Wenjing Lou, Chongjie Zhang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang
In International Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)
■ Sequential LLM Framework for Fashion Recommendation
Han Liu, Xianfeng Tang, Tianlang Chen, Jiapeng Liu, Indu Indu, Henry Peng Zou, Peng Dai, Roberto Fernandez Galan, Michael D Porter, Dongmei Jia, Ning Zhang, Lian Xiong
In International Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)
■ SoK: Security and Privacy Risks of Medical AI
Yuanhaur Chang*, Han Liu*, Evin Jaff, Chenyang Lu, Ning Zhang (* Equal Contribution)
arXiv preprint arXiv:2409.07415
■ Please Tell Me More: Privacy Impact of Explainability through the Lens of Membership Inference Attack
Han Liu, Yuhao Wu, Zhiyuan Yu, Ning Zhang
In IEEE Symposium on Security and Privacy (IEEE S&P 2024)
■ EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM
Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Jia Dongmei, Cornelia Caragea
In Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024)
■ RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation with Natural Prompts
Han Liu, Yuhao Wu, Shixuan Zhai, Bo Yuan, Ning Zhang
In IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR 2023)
■ SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples
Han Liu, Yuhao Wu, Zhiyuan Yu, Yevgeniy Vorobeychik, Ning Zhang
In IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR 2023)
■ IP Protection in TinyML
Jinwen Wang*, Yuhao Wu*, Han Liu, Bo Yuan, Roger Chamberlain, Ning Zhang (* Equal Contribution)
In ACM/IEEE Design Automation Conference (DAC 2023)
■ When Evil Calls: Targeted Adversarial Voice over IP Network
Han Liu, Zhiyuan Yu, Mingming Zha, XiaoFeng Wang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang
In ACM Conference on Computer and Communications Security (CCS 2022)
■ PolyRhythm: Adaptive Tuning of a Multi-Channel Attack Template for Timing Interference
Ao Li*, Marion Sudvarg*, Han Liu, Zhiyuan Yu, Chris Gill, Ning Zhang (* Equal Contribution)
In IEEE Real-Time Systems Symposium (RTSS 2022)
■ From Timing Variations to Performance Degradation: Understanding and Mitigating the Impact of Software Execution Timing in SLAM
Ao Li, Han Liu, Jinwen Wang, Ning Zhang
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Services
Conference Reviewer
- International Conference on Machine Learning (ICML) 2025 (Notable Reviewer)
- International Conference on Learning Representations (ICLR) 2025, 2026
- Conference on Neural Information Processing Systems (NeurIPS) 2024, 2025
- IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024, 2026
- AAAI Conference on Artificial Intelligence (AAAI) 2024, 2025, 2026
- International World Wide Web Conference (WWW) 2024, 2025, 2026
- International Conference on Artificial Intelligence and Statistics (AISTATS) 2025, 2026
- Annual Meeting of the Association for Computational Linguistics (ACL) 2024
- British Machine Vision Conference (BMVC) 2023
Journal Reviewer
- IEEE Transactions on Information Forensics and Security
- IEEE/ACM Transactions on Networking
- IEEE Transactions on Circuits and Systems for Video Technology
- Journal of Data-centric Machine Learning Research
- Journal of Machine Learning Research
- Neurocomputing
