Changran Xu
Student, The Chinese University of Hong Kong
I am Changran Xu, I earned a Bachelor of Science degree with First Class Honours from The Chinese University of Hong Kong in August 2024. And now, I am engaged in various exciting projects related to LLM, GNN, and Machine Learning.
I welcome all opportunities for discussion, learning, and collaboration. If you are interested in my work or believe there may be potential for collaboration, don’t hesitate to reach out! I am actively seeking opportunities for collaboration!
News
Education
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The Chinese University of Hong Kong
BSc Computer Science, First Class Honours 2020.09 - 2024.08
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Johns Hopkins University
Visiting Student 2024.06 - 2024.08
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Peking University
Summer School 2021.06 - 2021.07 & 2022.06 - 2022.07
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Ningbo Yinzhou High School
High School Diploma, Elite Stream Class 2017.09 - 2020.08
Experience
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National Center of Technology Innovation for EDA, Nanjing
Algorithm Engineer 2024.05 - Present
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Flourish Entertainment Agent Company, Hong Kong
Web Developer Assistant 2023.07 - 2023.08
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Legal Expression, Hong Kong
Full-Stack Developer (Entrepreneurship) 2023.05 - 2023.08
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Hongtai Water Resources Information Technology Co, Ltd, Ningbo
Front-End Engineer Trainee 2022.05 - 2022.08
Research
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Large Circuit Model
Research Assistant, supervised by Professor XU Qiang 2024.05 - Present
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Medical Imaging Analysis
Research Intern, supervised by Professor Alan Yuille and Dr. Zhou Zongwei 2024.03 - 2024.08
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Application of Computer Vision in Biomedical Engineering
Research Assistant, supervised by Dr. Wei Yuanyuan 2023.12 - 2024.09
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Bootstrapping AI-Generated Content and Medical Imaging Analysis
Research Assistant, supervised by Professor XU Qiang 2023.09 - 2024.05
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SmartNIC Performance Profiling and Prediction
Research Assistant, supervised by Professor XU Hong 2023.06 - 2023.08
Honors & Awards
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Honorable Mention Award of LLM4HWDesign @ ICCAD 2024 2024
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Dean's List of Faculty of Engineering, CUHK 2024
Selected Publications
(view all ) 
Speculative Decoding for Verilog: Speed and Quality, All in One
Changran Xu*, Yi Liu*, Yunhao Zhou, Shan Huang, Ningyi Xu, Qiang Xu (* equal contribution)
ACM/IEEE Design Automation Conference (DAC) 2025 DAC
Speculative Decoding for Verilog: Speed and Quality, All in One
Changran Xu*, Yi Liu*, Yunhao Zhou, Shan Huang, Ningyi Xu, Qiang Xu (* equal contribution)
ACM/IEEE Design Automation Conference (DAC) 2025 DAC
DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model
Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu
International Conference on Learning Representations (ICLR) 2025 ICLRSpotlight
DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model
Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu
International Conference on Learning Representations (ICLR) 2025 ICLRSpotlight
SAM‐dPCR: Accurate and Generalist Nuclei Acid Quantification Leveraging the Zero‐Shot Segment Anything Model
Yuanyuan Wei, Shanhang Luo, Changran Xu, Yingqi Fu, Qingyue Dong, Yi Zhang, Fuyang Qu, Guangyao Cheng, Yi-Ping Ho, Ho-Pui Ho, Wu Yuan
Advanced Science 2024 Advanced Science
SAM‐dPCR: Accurate and Generalist Nuclei Acid Quantification Leveraging the Zero‐Shot Segment Anything Model
Yuanyuan Wei, Shanhang Luo, Changran Xu, Yingqi Fu, Qingyue Dong, Yi Zhang, Fuyang Qu, Guangyao Cheng, Yi-Ping Ho, Ho-Pui Ho, Wu Yuan
Advanced Science 2024 Advanced Science
Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis
Muxi Chen*, Yi Liu*, Jian Yi, Changran Xu, Qiuxia Lai, Hongliang Wang, Tsung-Yi Ho, Qiang Xu (* equal contribution)
arXiv 2024 Preprint
Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis
Muxi Chen*, Yi Liu*, Jian Yi, Changran Xu, Qiuxia Lai, Hongliang Wang, Tsung-Yi Ho, Qiang Xu (* equal contribution)
arXiv 2024 Preprint