Shiyi Du

Hello, I am Shiyi Du, a Ph.D. student at the School of Computer Science at Carnegie Mellon University, advised by Herbert A. Simon Professor Carl Kingsford. My current research focuses on agentic reinforcement learning and its biomedical applications, including developing autonomous AI agents for scientific discovery. I am grateful to be supported by the SoftBank Group-Arm Fellowship during 2025-2027.

During undergraduate research, I was advised by Prof. Qicheng Lao and Prof. Kang Li at the West China Hospital-SenseTime Joint Lab (2021-2022). I was subsequently advised by Prof.Xiaosong Wang , Prof. Zongwei Zhou , Prof. Alan Yuille and Dr.Junjun He (2022-2023).

I received my B.Eng. degree in Computer Science and Technology from Sichuan University, where I was enrolled in IDMR, advised by Prof.Gretchen Kalonji . During my undergraduate studies, I was honored with the National Scholarship (Top 0.2%).

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Recent News
  • [October 2024] Awarded the SoftBank Group-Arm Fellowship 2025-2027!
  • [March 2024] Our paper on "Boosting Dermatoscopic Lesion Segmentation via Diffusion Models" was accepted for oral presentation at ISBI 2024.
  • [August 2023] Started my Ph.D. journey at Carnegie Mellon University!
  • [September 2022] Our team won 1st place in the MICCAI 2022 FLARE Challenge!
  • [May 2022] Paper on "Distilling Knowledge from Topological Representations" was early accepted (13%) at MICCAI 2022.

Publications

DNA Foundation Models for RNA Analyses
Shiyi Du, Litian Liang, Jiayi Li, Carl Kingsford*
arXiv

ARCADE: Controllable Codon Design from Foundation Models via Activation Engineering
Jiayi Li, Litian Liang, Shiyi Du, Shijie Tang, Hong-Sheng Lai, Carl Kingsford*
bioarxiv

Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts
Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan Yuille, Kang Li, Zongwei Zhou*
ISBI, 2024, Oral Presentation

Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction
Shiyi Du, Qicheng Lao*, Qingbo Kang, Yiyue Li, Zekun Jiang, Yanfeng Zhao, Kang Li*
MICCAI, 2022 (Early Accepted 13%)

Self-Supervised Anomaly Detection, Staging and Segmentation for Retinal Images
Yiyue Li, Qicheng Lao*, Qingbo Kang, Zekun Jiang, Shiyi Du, Shaoting Zhang, Kang Li
Medical Image Analysis, 2022

Revisiting nnUNet for Iterative Pseudo Labeling and Efficient Sliding Window Inference
Ziyan Huang, Haoyu Wang, Jin Ye, Jingqi Niu, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Lixu Gu, Junjun He*
MICCAI FLARE Challenge, 2022, Winner


Honors and Awards
  • SoftBank Group-Arm Fellowship (2025-2027)
  • MICCAI 2022 FLARE Challenge (1st Place)
  • National Scholarship, China (Top 0.2%, 2019-2020)
  • Comprehensive First-class Scholarship, Sichuan University (2019-2020)


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