✨ 2023 Advisors / Executive Team ✨

🎶 Never too much (uh), never too much (yeah, uh) 🎶

[this page is updated concurrently]

Hello Everyone! I hope you all are having a nice, relaxing winter break. Before we kick off the next semester with application season and some exciting events (stay tuned for updates very soon), we wanted to take the time to introduce you to the

AI @ UIUC

team!

First, the real heroes!

Volodymyr Kindratenko - Head Supervisor

• Director of the Center for Artificial Intelligence Innovation @ NCSA

Research Advisors

Daniel Campos - Natural Language Processing, advised by Heng Ji

• 3rd Year Ph.D. in Computer Science @ UIUC

• Machine Learning Research Engineer @ Neural Magic

• Prev. Senior Project Manager @ Microsoft Bing

• / Selected Publications /

  • Sparse*BERT: Sparse Models are Robust (ICML 2022)

  • XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation (EMNLP 2020)

  • Open Domain Web Keyphrase Extraction Beyond Language Modeling (EMNLP 2019)

Chulin Xie - Federated Learning, advised by Bo Li

• 3rd Year Ph.D. in Computer Science @ UIUC

• Prev. Research @ NVIDIA

• Prev. Research @ Microsoft

• / Selected Publications /

  • CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)

  • Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM (NeurIPS 2022)

  • Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses (TPAMI 2022)

Wenxuan Bao - Federated Learning, advised by Jingrui He

• 3rd Year Ph.D. in Computer Science @ UIUC

• 🎸 Bass Guitar Player @ Super Cool Band

• / Selected Publications /

  • Deep Grouping Model for Unified Perceptual Parsing (CVPR 2020)

  • BOBA: Byzantine-Robust Federated Learning with Label Skewness

Ho Kei (Rex) Cheng - Computer Vision, advised by Alexander Schwing

• 2nd Year Ph.D. in Computer Science @ UIUC

• Prev. Research @ Adobe

• / Selected Publications /

  • XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model (ECCV 2022)

  • Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation (NeurIPS 2021)

  • Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion (CVPR 2021)

Daniel R. Kiv - Earth Science, advised by Arindam Banerjee

• 3rd Year Ph.D. in Computer Science @ UIUC

• Research @ NASA Goddard Space Flight Center

• / Selected Publications /

  • smol: Sensing Soil Moisture using LoRa (ACM 2022)

  • Diagnosis of Antarctic Blowing Snow with MERRA-2 Reanalysis Using a Machine Learning Model (AGU 2022)

  • Study of antarctic blowing snow storms using MODIS and CALIOP observations with a machine learning model (EES 2021)

Adam Stewart - Earth Science, advised by Arindam Banerjee

• 6th Year Ph.D. in Computer Science @ UIUC

• Prev. SWE @ Lockheed Martin

• / Selected Publications /

  • Torchgeo: deep learning with geospatial data (GIS 2022)

  • Recent changes in glacier velocities and thinning at Novaya Zemlya (RES 2016)

  • Glacier Changes in the Russian High Arctic (AGU 2014)

Executive Team

Current Members

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AI-Generated Image of the Day (“cat soldier”)