Jihwan Bang

I'm

About

Senior AI Researcher & Engineer

Jihwan Bang is currently a Senior AI Researcher at Qualcomm AI Research, where he leads cutting-edge research projects in artificial intelligence and machine learning. He obtained his B.S. and M.S. degrees in Electrical Engineering from the Korean Advanced Institute of Science and Technology (KAIST) in 2017 and 2019, respectively. Prior to joining Qualcomm in 2023, he was an AI Researcher at NAVER from 2019 to 2023, where he developed FaceSign identity authentication systems and efficient AI pipelines. His research focuses on developing efficient AI models for edge devices, with emphasis on face recognition, face spoofing detection, and portrait segmentation. He specializes in Active Learning and Continual Learning techniques, with recent interests in Retrieval Augmented Generation (RAG), Large Language Models, and Vision Language Models. Mr. Bang has published extensively in top-tier venues including CVPR, ICCV, ICLR, NeurIPS, ICML, AAAI, ACL, EMNLP, and NAACL, and serves as an active reviewer for major conferences.

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Research Interest

• Retrieval Augmented Generation (RAG)
• Large Language Model (LLM)
• Vision Language Model
• Continual / Lifelong Learning
• Active Learning
• On-device Learning

Education

M.S., School of Electrical Engineering

Mar. 2017 - Feb. 2019

Korean Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

B.S., School of Electrical Engineering & Mathematical Science

Mar. 2012 - Feb. 2017

Korean Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

Professional Experience

Qualcomm Logo

2023 - Present

Senior AI Researcher

  • Research and developed the chatbot-related products that is deployed in snapdragon.

Naver Logo

2019 - 2023

AI Researcher

  • Research and developed Facesign products that is employed in the headquarters.
  • Research and developed the product that is efficient and automated AI pipeline for selecting data and finetuning model

Projects

Qualcomm AI Orchestrator (QAIOR)

Agentic AI for Edge Devices
Research on agentic AI framework for edge devices
Design system design and build up the framework

Apr. 2023 - Present

Hawkeye

Open-Vocabulary/Zero-Shot Object Detector
Research on open-vocabulary or zero-shot object detectors
Design API to use deployed zero-shot object detectors

Feb. 2022 - Apr. 2023

Delphi

Efficient and Automated ML Pipeline for selecting data and finetuning model
Design Delphi structure and build up each component in the pipeline
Apply active learning to ML pipeline for selecting informative data from the incoming streams

Mar. 2019 - Apr. 2023

FaceSign

Identity Authentication System using Face without Any Cards
Design the pipeline to get the best performance in FaceSign
Design spoofing detection model to prevent recognizing fake faces

Jul. 2020 - Jan. 2022

Observer

Drone-based Object Tracking System
Design AI platform for fog computing and build up the cloud-based AI platform
Implement deep reinforcement learning algorithm for autonomous drone control

Apr. 2017 - Dec. 2017

Publications

* authors contributed equally. See also my Google Scholar .
      Vision(CVPR, ICCV, ECCV, WACV, BMVC)          NLP(ACL, EMNLP, NAACL, EACL)          ML(ICML, ICLR, NeurIPS, AAAI)          Etc.


Conferences & Journals

Preprints (ArXiv)

Talks

[T4] Data-centric AI: Data collecting, labeling, and synthesizing
KENTECH

Apr. 2025

[T3] From Data Processing To Moedl Deploy: Introduction and Research Trends in MLOps Pipeline
Chung-Ang University (CAU)

May. 2024

[T2] Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries
Korean Artificial Intelligence Association (KAIA)

Nov. 2022

[T1] Low Price, High Quality: Improve Model Performance with Small Labelling Cost
NAVER DEVIEW

Nov. 2020

Reviews

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

2021 - Present

IEEE/CVF European Conference on Computer Vision (ECCV)

2022 - Present

IEEE/CVF International Conference on Computer Vision (ICCV)

2023 - Present

International Conference on Machine Learning (ICML)

2022 - Present

Conference on Neural Information Processing Systems (NeurIPS)

2022 - Present

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

2024

Inernational Conference on Learning Representations (ICLR)

2024 - Present

Association for the Advancement of Artificial Intelligence (AAAI)

2025 - Present

Conference on Lifelong Learning Agents (CoLLAs)

2023

Patents

[P2] Face Recognition System and Method for Controlling the Same
kr 10-2021-0183218
[P1] Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization
kr 10-2020-0111929

Awards

  • CLOVA WOW(Innovative) Project: FaceSign
    NAVER CLOVA

    2021

  • National Science & Technology Scholarship
    Korean Scholarship Foundation

    2012-2015