Welcome!

I am a fourth-year Ph.D. student in Computer Science at the University of Illinois at Urbana-Champaign advised by Prof. Julia Hockenmaier. My research primarily centers around:

• Creating and analyzing novel deep learning model architectures
• Improving the in-context learning framework using large language models (LLMs)
• Enhancing spatial reasoning capabilities of LLMs

Education

• University of Illinois at Urbana-Champaign               Aug 2021 ~ Current
  • Ph.D. student in Computer Science
• Seoul National University                                            Mar 2013 ~ Feb 2021
  • B.S. in Electrical and Computer Enginering

Fellowships

• University of Illinois at Urbana-Champaign
  • CS Ph.D. Fellowship                                           Sep 2023 - May 2024

Publications

1. Anonymous
   Under review at ARR 2024 August
   Ikhyun Cho, Changyeon Park, and Julia Hockenmaier
2. Anonymous (Received a meta review score of 4)
   Under review at EMNLP 2024
   Ikhyun Cho, Gaeul Kwon, and Julia Hockenmaier
3. Duplicate-and-Share: A Novel Approach to Efficient Vision Transformer Unlearning
   Under review at AAAI 2025
   Ikhyun Cho, Changyeon Park, and Julia Hockenmaier
4. ViT-MUL: Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers
   [ArXiv]
   Ikhyun Cho, Changyeon Park, and Julia Hockenmaier
5. Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization
   [ArXiv]
   Yoonhwa Jung, Ikhyun Cho, Shun-Hsiang Hsu, and Julia Hockenmaier
   
6. VisualSiteDiary: A Detector-Free Vision-Language Transformer Model for Captioning Photologs for Daily Construction Reporting and Image Retrievals
   Elsevier: Automation in Construction
   Yoonhwa Jung, Ikhyun Cho, and Julia Hockenmaier
7. SIR-ABSC: Incorporating Syntax into RoBERTa-based Sentiment Analysis Models with a Special Aggregator Token
   EMNLP 2023 Findings
   Ikhyun Cho, Yoonhwa Jung, and Julia Hockenmaier
8. Pea-KD: Parameter-efficient and accurate Knowledge Distillation on BERT
   PLOS ONE 2022
   Ikhyun Cho and U Kang
9. SensiMix: Sensitivity-Aware 8-bit index & 1-bit value mixed precision quantization for BERT compression
   PLOS ONE 2022
   Tairen Piao, Ikhyun Cho, and U Kang