Ruhan Wang

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Luddy Hall, 700 North Woodlawn Avenue

Bloomington, IN, 47408

I am a third-year Ph.D. student in Computer Engineering at Indiana University, advised by Prof. Dongruo Zhou. Previously, I was an undergraduate researcher at the Data Science Lab at Henan University (HENU), working under the guidance of Prof. Chongsheng Zhang. I received my bachelor’s degree from HENU in 2022.

My research focuses on Large Language Models (LLMs), Reinforcement Learning (RL), and Quantum Machine Learning (QML). I am particularly interested in bridging theory and practice to tackle real-world challenges in areas such as intelligent agents, human-AI interaction, and computational efficiency in emerging quantum systems.

news

Mar 20, 2025 One paper accepted by L4DC 2025
Mar 07, 2025 One paper accepted by ICAD 2025
Jan 16, 2024 One paper accepted by ICLR 2024
Sep 11, 2023 One paper accepted by Journal of Quantum Science and Technology
Sep 08, 2023 One paper accepted by ASP-DAC 2024

selected publications

  1. llmcarbon.png
    Llmcarbon: Modeling the end-to-end carbon footprint of large language models
    Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Prateek Sharma, and 2 more authors
    ICLR 2024(Oral), 2023
  2. QClip.png
    A hybrid quantum–classical neural network for learning transferable visual representation
    Ruhan Wang, Philip Richerme, and Fan Chen
    Quantum Science and Technology, 2023
  3. JustQ.png
    JustQ: Automated deployment of fair and accurate quantum neural networks
    Ruhan Wang, Fahiz Baba-Yara, and Fan Chen
    2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC 2024), 2024