Junwei Deng - 邓珺玮

📚️ Ph.D. Student in Information Sciences from 2023 Fall @UIUC.
🔬 My advisor is Prof. Jiaqi Ma.

👨🏽‍💻 AI Frameworks Engineer @Intel, 2020-2023.
🏫 M.S. in Information @Umich, 2019-2021.
🏫 B.S. in Electrical and Computer Engineering @SJTU, 2016-2020.

🏡 Now I live in Champaign, Illinois.

💡 I am interested in Trustworthy ML (e.g., robustness, fairness), Data-Centric AI, and developing technical solutions for operationalizing regulatory principles (e.g., copyright issue for generative AI).

📧 junweid2 AT illinois DOT edu

Google Scholar  /  GitHub  /  CV

I am currently seeking research-oriented internship opportunities for the summer of 2024. Please contact me if you have any recruitment openings.

(* Equal Contribution)

• Computational Copyright: Towards A Royalty Model for Music Generative AI.
  Junwei Deng, Jiaqi Ma
  Preprint.
  [ArXiv]


• BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster.
  Jason Dai, Ding Ding, Dongjie Shi, Shengsheng Huang, Jiao Wang, Xin Qiu, Kai Huang, Guoqiong Song, Yang Wang, Qiyuan Gong, Jiaming Song, Shan Yu, Le Zheng, Yina Chen, Junwei Deng, Ge Song.
  CVPR 2022 (Demo Track).
  [ArXiv][Code]


• Subgroup Generalization and Fairness of Graph Neural Networks.
  Jiaqi Ma*, Junwei Deng*, Qiaozhu Mei.
  NeurIPS 2021. (Spotlight, top 3%)
  [ArXiv][Code]


• Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem.
  Jiaqi Ma*, Junwei Deng*, Qiaozhu Mei.
  WSDM 2022.
  [ArXiv][Code]


• CellSegNet: an adaptive multi-resolution hybrid network for cell segmentation.
  Junwei Deng, Yiqing Shen, Yi Guo, Jing Ke.
  SPIE Medical Imaging 2022.
  [Proceedings][Code]


• Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning.
  Jing Ke, Yiqing Shen, Yizhou Lu, Junwei Deng, Jason D. Wright, Yan Zhang, Qin Huang, Dadong Wang, Naifeng Jing, Xiaoyao Liang, Fusong Jiang.
  Laboratory Investigation, 2021. (Selected as Cover Page)
  [Journal]


• An Accurate Neural Network for Cytologic Whole-Slide Image Analysis.
  Junwei Deng, Yizhou Lu, Jing Ke.
  ACSW 2020 (Oral (Best Student Paper)).
  [Proceedings]


• Assessment and Elimination of Inflammatory Cell: A Machine Learning Approach in Digital Cytology.
  Jing Ke, Junwei Deng, Yizhou Lu, Dadong Wang, Yang Song, Huijuan Zhang.
  DICTA 2019 (Oral).
  [Proceedings]


• Noise reduction with image inpainting: an application in clinical data diagnosis.
  Jing Ke, Junwei Deng, Yizhou Lu.
  SIGGRAPH 2019 (Poster Abstract).
  [Proceedings]

(The papers are ordered by the complete time rather than accept time)