Changran Xu

The Chinese University of Hong Kong 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!

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News
2025
One paper accepted by ACL 2025 Findings.
May 16
One paper accepted by LAD'25.
May 09
One paper accepted by DAC'25.
Feb 15
One paper accepted by ICLR'25 as a Spotlight.
Jan 23
2024
One paper accepted by Advanced Science.
Dec 29
Our team's dataset ranked 4th place among participating teams and won the Honorable Mention Award at the LLM4HWDesign @ ICCAD 2024
Oct 16

Education

  • The Chinese University of Hong Kong

    The Chinese University of Hong Kong

    BSc Computer Science, First Class Honours 2020.09 - 2024.08

  • Johns Hopkins University

    Johns Hopkins University

    Visiting Student 2024.06 - 2024.08

  • Peking University

    Peking University

    Summer School 2021.06 - 2021.07 & 2022.06 - 2022.07

Research

Honors & Awards

Selected Publications (view all )
DeepRTL2: A Versatile Model for RTL-Related Tasks

Yi Liu, Hongji Zhang, Yunhao Zhou, Zhengyuan Shi, Changran Xu, Qiang Xu

Findings of the Association for Computational Linguistics (ACL) 2025 ACL

DeepRTL2: A Versatile Model for RTL-Related Tasks

Yi Liu, Hongji Zhang, Yunhao Zhou, Zhengyuan Shi, Changran Xu, Qiang Xu

Findings of the Association for Computational Linguistics (ACL) 2025 ACL

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

[Paper] [Code]

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

[Paper] [Code]

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

[Paper] [Code]

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

[Paper] [Code]

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

[Paper] [Code]

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

[Paper] [Code]