About Me
I’m a Ph.D candidate at MLILAB at KAIST in Korea, advised by Prof. Eunho Yang.
Research Interests
My current research interests lie in building self-improving agents (closely working with Ninareh Mehrabi and Sina Shaham from Meta SuperIntelligence Labs) and developing reliable Visual Chain-of-Thought (CoT) reasoning for vision–language models.
Beyond these, I have explored a broad range of topics in Reliable AI, including model robustness spanning both 2D and 3D vision as well as domain-agnostic methods, jailbreaking in MLLMs, Visual Autoregressive Models, and image editing.
Please feel free to contact me if you are interested in potential collaborations!
LinkedIn
Preprints
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Co-Evolving Agents: Learning from Failures as Hard Negatives
Yeonsung Jung, Trilok Padhi, Sina Shaham, Dipika Khullar, Joonhyun Jeong, Ninareh Mehrabi†, Eunho Yang† -
Web Agents Are Still Greedy: Progress-Aware Action Generation and Selection via Meta-Plan
Joonhyun Jeong, Gilhyun Nam, Yeonsung Jung, Eunho Yang -
MeZO-A3dam: Memory-efficient Zeroth-order Adam with Adaptivity Adjustments for Fine-tuning LLMs
Sihwan Park*, Jihun Yun*, Sung-Yub Kim, June Yong Yang, Yeonsung Jung, Souvik Kundu, Kyungsu Kim, Eunho Yang -
3D Scene Decomposition Under Occlusion via Multi-View-Aware Inpainting
Heecheol Yun, Yeonsung Jung, Eunho Yang
Conference Publications
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Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing [paper]
Joowon Kim, Ziseok Lee, Donghyeon Cho, Sanghyun Jo, Yeonsung Jung, Kyungsu Kim, Eunho Yang
ICCV 2025 -
Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing [paper]
Yoonjeon Kim*, Soohyun Ryu*, Yeonsung Jung, Hyunkoo Lee, Joowon Kim, June Yong Yang, Jaeryong Hwang, Eunho Yang
CVPR 2025 -
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy [paper]
Joonhyun Jeong, Seyun Bae, Yeonsung Jung, Jaeryong Hwang, Eunho Yang
CVPR 2025 -
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding [paper]
Doohyuk Jang*, Sihwan Park*, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sung-Yub Kim†, Eunho Yang†
ICLR 2025 -
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective [paper]
Yeonsung Jung*, Jaeyun Song*, June Yong Yang, Jin-Hwa Kim, Sung-Yub Kim, Eunho Yang
NeurIPS 2024 -
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency [paper]
Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim†, Eunho Yang†
ICML 2024 -
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation [paper]
Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang
ICML 2023 -
Scalable Anti-TrustRank with Qualified Site-level Seeds for Link-based Web Spam Detection [paper]
Joyce Jiyoung Whang, Yeonsung Jung, Seonggoo Kang, Dongho Yoo, Inderjit S. Dhillon
The Web Conf. Workshop on CyberSafety: Computational Methods in Online Misbehavior 2020 -
Fast Asynchronous Anti-TrustRank for Web Spam Detection [paper]
Joyce Jiyoung Whang, Yeonsung Jung, Inderjit S. Dhillon, Seonggoo Kang, Jungmin Lee
WSDM Workshop on MIS2: Misinformation and Misbehavior Mining on the Web 2018
Work Experiences
- Research Intern, NAVER , Seongnam, South Korea. (July 2019 - Sept. 2019)
- Improve searching performance through click graph neural networks.
Acamdeic Services
- Conference Reviewer
- Neural Information Processing Systems (NeurIPS)
- International Conference on Machine Learning (ICML)
- International Conference on Learning Representations (ICLR)
- Computer Vision and Pattern Recognition (CVPR)
- International Conference on Computer Vision (ICCV)
- Association for the Advancement of Artificial Intelligence (AAAI)
- Artificial Intelligence and Statistics (AISTATS)
- NACCL Workshop on TrustNLP
Lectures
SAMSUNG DS (2020–2022)
LG Electronics (2022)
HD Hyundai (2023)
LG Innotek (2022–2024)
LG Chem (2022)
DSME (2022–2023)