Junwei Deng - 邓珺玮

📚️ Second-year Ph.D. Student in Information Sciences @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 Data-Centric AI (e.g., data attribution); Trustworthy ML (e.g., robustness, fairness); Developing technical solutions for operationalizing regulatory principles (e.g., copyright issue for generative AI).

📧 junweid2 AT illinois DOT edu

Google Scholar  /  GitHub  /  CV

(* Equal Contribution)

In Submission

• Adversarial Attacks on Data Attribution.
  Xinhe Wang, Pingbang Hu, Junwei Deng, Jiaqi W. Ma
  Preprint.
  [ArXiv]


• Efficient Ensembles Improve Training Data Attribution.
  Junwei Deng*, Ting-Wei Li*, Shichang Zhang, Jiaqi W. Ma
  Preprint.
  [ArXiv]


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



Publications

• dattri: A Library for Efficient Data Attribution.
  Junwei Deng*, Ting-Wei Li*, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. Ma
  NeurIPS 2024. (Datasets and Benchmark Track, Spotlight).
  [ArXiv][Code]


• 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]