Haotian Yu 于昊田
Haotian Yu’s Introduction
Haotian Yu’s CV Page
I’m a Ph.D. candidate in Computer Engineering with 3+ years of industry experience in large-scale data systems and applied ML for vehicle R&D.
I started my PhD journey in Aug 2024.
My Research focus:
- Truthfulness and Efficiency in LLMs/VLMs for Multimodal Reasoning, with an emphasis on reliable evaluation and efficient inference/adaptation.
- Efficient ML & VLMs in Medical and Robotic Applications.
From 2021 to 2024, I was a Data Scientist at Li Auto, China’s Tier 1 electric vehicle company, Nasdaq: Li. I spend half of my working time on data engineering & processing, data analysis, and data modeling in vehicle R&D. I spend the other half of my working time contributing my skills in NLP Labeling, GPT application, and Automated Testing design to motivate vehicle R&D.
Publications:
~ ~ AI ~ ~
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs Aug-2025
Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs Aug-2025
When Truthful Representations Flip Under Deceptive Instructions? Aug-2025
FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression Aug-2025
~ ~ Network and Security ~ ~
DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization Aug-2022
Differentially private data publication with multi-level data utility Dec-2021
Structure-Attribute-Based Social Network Deanonymization with spectral graph partitioning May-2021
Haotian Yu’s Education Background
PhD., Computer Engineering - Case Western Reserve University. Cleveland, Ohio Sep 2024 – 2028 (Expected)
M.S., Data Analysis - George Washington University. Washington, DC Sep 2018 – May 2020
B.A., Statistics - University of Minnesota. Minneapolis, Minnesota Sept 2014 – May 2017
B.A., Accounting - Shandong University of Finance and Economics, Jinan, China Sept 2012 – June 2016
My skill keywords:
• ML/LLM:PyTorch, Transformers, (HF, LoRA, vLLM).
• Computer Programming: Python, R, JavaScript, SAS, C, C++.
• Data Systems & Management: MySQL, Hive, Neo4j, PostgreSQL, Apache Spark & PySpark, MongoDB. ETL development, Data pipeline, Web crawler, Algorithm development.
• Privacy & Security: Differential Privacy, k-anon, Masking.