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title: "Hyunjong Ok" | ||
type: docs | ||
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### **Hyunjong Ok** | ||
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<br> | ||
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### π Research Interests | ||
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Efficient LLM, Multi-modal learning, Audio Technologies | ||
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<br> | ||
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### π« Education | ||
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Pohang University of Science and Technology (POSTECH) | ||
- (2024.02 ~ Present) M.S. candidate in Graduate School of AI | ||
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KyungHee University (KHU) | ||
- (2019.03 ~ 2023.08) B.S in Software Convergence | ||
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<br> | ||
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### π’ Experience | ||
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- (2023.03 ~ 2023.09) AI Intern, Naver CLOUD | ||
- (2022.03 ~ 2023.02) Undergraduate Researcher, NLP Lab, KyungHee University | ||
- (2022.07 ~ 2022.08) AI project, Hyundai Motor | ||
- (2021.11 ~ 2022.02) Data Engineer Intern , Ingkle | ||
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<br> | ||
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### π Publication | ||
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**Hyunjong Ok**, Taeho Kil, Sukmin Seo, Jaeho Lee, "SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities", **NAACL**, 2024 | ||
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**Hyunjong Ok**, "FinTree: Financial Dataset Pretrain Transformer Encoder forRelation Extraction", SIGIR-Workshop (KDF), 2023 | ||
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**Hyunjong Ok**, Seong-Bae Park, "POST-TRAINED LANGUAGE MODEL ADAPTIVE TO EXTRACTIVE SUMMARIZATION OF LONG SPOKEN DOCUMENTS", ICASSP (Grand Challenge), 2023 | ||
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<br> | ||
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### π Award | ||
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- (2022.10) νκ΅μ΄ AI κ²½μ§λν: ASR TRACK (1ST PLACE: KOREA MINISTER'S AWARD), Ministry of Science and ICT | ||
- (2022.12) KLAID LEGAL JUDGMENT PREDICTION CHALLENGE (1ST PLACE), Law & Company | ||
- (2023.02) ICASSP 2023 MUG GRAND CHALLENGE 2ND TRACK (1ST PLACE), Alibaba DAMO Academy | ||
- (2022.12) μ μ 체AI κ²½μ§λν (2ND PLACE), Infoboss | ||
- (2023.06) SIGIR 2023 KDF WORKSHOP SHARED TASK (2ND PLACE), J.P. Morgan AI Research | ||
- (2022.12) λ¬Έμ₯ μ ν λΆλ₯ AI κ²½μ§λν (4TH PLACE), Sungkyunkwan University | ||
- (2023.11) νκ΅μ΄ AI κ²½μ§λν: ASR TRACK (4TH PLACE), Ministry of Science and ICT | ||
- (2023.12) κ΅λ°© AI κ²½μ§λν (4TH PLACE), Ministry of National Defense | ||
- (2023.10) COMMONLIT - EVALUATE STUDENT SUMMARIES (SILVER MEDAL), Kaggle | ||
- (2022.03) FEEDBACK PRIZE - EVALUATING STUDENT WRITING (SILVER MEDAL), Kaggle | ||
- (2022.07) KORE 2022 (BRONZE MEDAL), Kaggle | ||
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<br> | ||
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### π Contact | ||
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mail : r7play@postech.ac.kr <br> | ||
github : https://github.com/HJ-Ok <br> |
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title: "Jiyun Bae" | ||
type: docs | ||
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### **Jiyun Bae** | ||
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Hi there, I'm Jiyun π | ||
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<br> | ||
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### π Research Interests | ||
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Text/Visual Prompts, Bias, Fairness, LLMs | ||
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<br> | ||
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### π« Education | ||
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Seoul Women University (SWU) | ||
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- (2020.03 ~ 2024.02) B.S in Information Security | ||
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Pohang University of Science and Technology (POSTECH) | ||
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- (2024.02 ~ Present) M.S. candidate in Graduate School of AI | ||
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<br> | ||
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### π’ Experience | ||
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- (2022.01 ~ 2022.03) Software Developer, Ericsson-LG | ||
- (2022.07 ~ 2022.09) NLP Researcher, S2W | ||
- (2023.06. ~ 2024.02) Undergraduate Research Fellowship, Efficient Learning Lab, POSTECH | ||
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<br> | ||
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### β¨ Patents | ||
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--- | ||
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- (2021.12) OBJECT RECOGNITION MIRROR AND OBJECT RECOGNITION METHOD, 10-2021-0190705 | ||
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<br> | ||
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### β³οΈ Activity | ||
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--- | ||
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- (2022.08 ~ 2023.07) Google Developer Student Clubs SWU 1st LEAD, Awarded Certificate of Excellence | ||
- (2021.11) Girls in ICT 2021 Hackathon(Ericsson-LG), Best Awards | ||
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<br> | ||
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### π Volunteer Experience | ||
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- (2022.09 ~ Present) Ambassador of Google's Women Techmakers | ||
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<br> | ||
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### π Contact | ||
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--- | ||
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mail : jiyun.bae@postech.ac.kr <br> | ||
github : https://github.com/jiyunBae007 <br> | ||
Social accounts : [linkedin](https://www.linkedin.com/in/jiyun-bae-33568221a/) |
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title: "Minjae Park" | ||
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### **Minjae Park** | ||
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<br> | ||
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### π Research Interests | ||
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State-Space Model, Model compression(Pruning, Quantization) | ||
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<br> | ||
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### π« Education | ||
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Sogang University | ||
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- (2020.03 ~ 2024.02) B.S in Electrical & Electronics Engineering | ||
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Pohang University of Science and Technology (POSTECH) | ||
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- (2024.03 ~ Present) M.S. & Ph.D candidate in Electrical & Electronics Engineering | ||
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<br> | ||
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### π’ Experience | ||
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- (2023.06 ~ 2023.12) Research Intern, Man Machine Interface Lab, Sogang University | ||
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<br> | ||
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### π Contact | ||
--- | ||
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mail : minjae0047@postech.ac.kr, mjae.park@gmail.com <br> | ||
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github : https://github.com/tada0347/ <br> | ||
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title: "Sangyoon Lee" | ||
type: docs | ||
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### **Sangyoon Lee** | ||
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<br> | ||
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### π Research Interests | ||
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Fast Neural Fields, Editable Neural Fields, Neural Compression | ||
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### π« Education | ||
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Pohang University of Science and Technology (POSTECH) <br> | ||
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- (2018.02 - 2023.08) B.S. in Computer Science and Engineering <br> | ||
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- (2024.03 - Present) M.S. candidate in Graduate School of AI <br> | ||
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<br> | ||
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### π’ Experience | ||
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- (2023.07 - 2024.02) `Research Intern` in Efficient Learning Lab, POSTECH <br> | ||
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- (2022.07 - 2023.06) `Research Intern` in Computer Vision Lab, POSTECH <br> | ||
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- (2022.03 - 2022.06) `Research Intern` in Data System Lab, POSTECH <br> | ||
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<br> | ||
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### π Publication | ||
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[**In Search of a Data Transformation that Accelerates Neural Field Training**](https://arxiv.org/abs/2311.17094) | ||
Junwon Seo*, **Sangyoon Lee***, Kwang In Kim, and Jaeho Lee | ||
**CVPR 2024** (NeurIPS 2023 Workshop: Attributing Model Behavior at Scale) | ||
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<br> | ||
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### π Contact | ||
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mail : sangyoon.lee@postech.ac.kr |