papers

Publications (61)

cs.LG2021

Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning

Wonyong Jeong, Jaehong Yoon, Eunho Yang +1

cs.LG2026

Reliable and Responsible Foundation Models: A Comprehensive Survey

Xinyu Yang, Junlin Han, Rishi Bommasani +49

cs.CV2026

EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance

Zun Wang, Jaemin Cho, Jialu Li +4

cs.LG2023

On the Soft-Subnetwork for Few-shot Class Incremental Learning

Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid +2

cs.CV2026

Confidence-Aware Tool Orchestration for Robust Video Understanding

Yangfan He, Yujin Choi, Jaehong Yoon

cs.CV2026

WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning

Woongyeong Yeo, Kangsan Kim, Jaehong Yoon +1

cs.CY2026

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

Yue Huang, Chujie Gao, Siyuan Wu +63

stat.ML2019

Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout

Juho Lee, Saehoon Kim, Jaehong Yoon +3

cs.LG2025

Glider: Global and Local Instruction-Driven Expert Router

Pingzhi Li, Prateek Yadav, Jaehong Yoon +4

cs.CV2024

STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment

Jaewoo Lee, Jaehong Yoon, Wonjae Kim +2

cs.LG2023

Continual Learners are Incremental Model Generalizers

Jaehong Yoon, Sung Ju Hwang, Yue Cao

cs.LG2022

Representational Continuity for Unsupervised Continual Learning

Divyam Madaan, Jaehong Yoon, Yuanchun Li +2

cs.CL2024

Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models

Yujin Kim, Jaehong Yoon, Seonghyeon Ye +4

cs.CV2025

MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation

Shoubin Yu, Yue Zhang, Ziyang Wang +2

cs.CV2025

CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion

Shoubin Yu, Jaehong Yoon, Mohit Bansal

cs.LG2024

BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation

Daeun Lee, Jaehong Yoon, Sung Ju Hwang

cs.CV2025

Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization

Jialu Li, Shoubin Yu, Han Lin +3

cs.LG2023

Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization

Jaehong Yoon, Geon Park, Wonyong Jeong +1

cs.CV2026

Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models

Sangwon Jang, Taekyung Ki, Jaehyeong Jo +4

cs.CV2025

Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning

Daeun Lee, Jaehong Yoon, Jaemin Cho +1

cs.CV2026

Self-Refining Video Sampling

Sangwon Jang, Taekyung Ki, Jaehyeong Jo +3

cs.CV2026

Are Video Reasoning Models Ready to Go Outside?

Yangfan He, Changgyu Boo, Jaehong Yoon

cs.CV2025

RACCooN: A Versatile Instructional Video Editing Framework with Auto-Generated Narratives

Jaehong Yoon, Shoubin Yu, Mohit Bansal

cs.CV2025

SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation

Jaehong Yoon, Shoubin Yu, Vaidehi Patil +2

cs.CV2025

Planning with Sketch-Guided Verification for Physics-Aware Video Generation

Yidong Huang, Zun Wang, Han Lin +5

cs.CV2025

VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos

Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin +4

cs.LG2018

Lifelong Learning with Dynamically Expandable Networks

Jaehong Yoon, Eunho Yang, Jeongtae Lee +1

cs.CV2022

BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation

Geon Park, Jaehong Yoon, Haiyang Zhang +3

cs.CV2026

MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs

Yuxuan Fan, Gyusik Seo, Jing Hao +3

cs.LG2023

Personalized Subgraph Federated Learning

Jinheon Baek, Wonyong Jeong, Jiongdao Jin +2

cs.CV2026

Safe Few-Step Generation via Velocity Editing

Yujin Choi, Jaehong Yoon

cs.CV2026

VGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction

Kaixin Zhu, Yiwen Tang, Yifan Yang +9

cs.CV2024

EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens

Sunil Hwang, Jaehong Yoon, Youngwan Lee +1

cs.CL2024

EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents

Abhay Zala, Jaemin Cho, Han Lin +2

cs.CV2024

Progressive Fourier Neural Representation for Sequential Video Compilation

Haeyong Kang, Jaehong Yoon, DaHyun Kim +2

cs.LG2020

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition

Jaehong Yoon, Saehoon Kim, Eunho Yang +1

cs.LG2024

Multimodal Representation Learning by Alternating Unimodal Adaptation

Xiaohui Zhang, Jaehong Yoon, Mohit Bansal +1

cs.LG2025

Adapt-: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection

Adyasha Maharana, Jaehong Yoon, Tianlong Chen +1

cs.CV2024

SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data

Jialu Li, Jaemin Cho, Yi-Lin Sung +2

cs.CV2026

PhyMotion: Structured 3D Motion Reward for Physics-Grounded Human Video Generation

Yidong Huang, Zun Wang, Han Lin +6

cs.CV2025

DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation

Zun Wang, Jialu Li, Han Lin +2

cs.CV2024

ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models

Yi-Lin Sung, Jaehong Yoon, Mohit Bansal

cs.CL2025

DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning

Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan +4

cs.CV2026

EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding

Ziyang Wang, Yue Zhang, Shoubin Yu +6

cs.CV2025

Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning

Ziyang Wang, Jaehong Yoon, Shoubin Yu +3

cs.LG2026

Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation

Taekyung Ki, Sangwon Jang, Jaehyeong Jo +2

cs.CV2026

Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement

Daeun Lee, Jaehong Yoon, Jaemin Cho +1

cs.LG2021

Federated Continual Learning with Weighted Inter-client Transfer

Jaehong Yoon, Wonyong Jeong, Giwoong Lee +2

cs.LG2025

RSQ: Learning from Important Tokens Leads to Better Quantized LLMs

Yi-Lin Sung, Prateek Yadav, Jialu Li +2

cs.CV2026

Hierarchy-Aware Multimodal Unlearning for Medical AI

Fengli Wu, Vaidehi Patil, Jaehong Yoon +2

cs.LG2023

Forget-free Continual Learning with Soft-Winning SubNetworks

Haeyong Kang, Jaehong Yoon, Sultan Rizky Madjid +2

cs.AI2025

Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning?

Qingyu Yin, Chak Tou Leong, Linyi Yang +7

cs.CV2025

Movie Facts and Fibs (MF): A Benchmark for Long Movie Understanding

Emmanouil Zaranis, António Farinhas, Saul Santos +28

cs.LG2023

Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models

Jaewoong Lee, Sangwon Jang, Jaehyeong Jo +5

cs.LG2024

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Yiyang Zhou, Chenhang Cui, Jaehong Yoon +5

cs.CV2026

When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning

Shoubin Yu, Yue Zhang, Zun Wang +4

cs.CV2024

Continual Learning: Forget-free Winning Subnetworks for Video Representations

Haeyong Kang, Jaehong Yoon, Sung Ju Hwang +1

cs.CV2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences

Xiyao Wang, Yuhang Zhou, Xiaoyu Liu +9

cs.CV2026

AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories

Zun Wang, Han Lin, Jaehong Yoon +3

cs.LG2020

Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning

Minyoung Song, Jaehong Yoon, Eunho Yang +1

cs.LG2022

Online Coreset Selection for Rehearsal-based Continual Learning

Jaehong Yoon, Divyam Madaan, Eunho Yang +1