| 2026 | AAAI | DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation. | Zun Wang, Jialu Li, Han Lin, Jaehong Yoon, Mohit Bansal |
| 2026 | AAAI | Towards Continually-Evolving AI: Selective and Expandable Multimodal Memory System. | Jaehong Yoon |
| 2026 | ACL | Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement. | Daeun Lee, Jaehong Yoon, Jaemin Cho, Mohit Bansal |
| 2026 | EACL | DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning. | Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | ICPR | Structure-Aware Phase-Based Dual Alignment for Robust UAV Object Detection. | Minju Baek, Hyeongseok Oh, Jaehong Yoon, Eunseon Lee, Bogyeong Kim, Joonki Paik |
| 2025 | CVPR | VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos. | Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal |
| 2025 | EMNLP | Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning. | Daeun Lee, Jaehong Yoon, Jaemin Cho, Mohit Bansal |
| 2025 | EMNLP | Glider: Global and Local Instruction-Driven Expert Router. | Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen |
| 2025 | EMNLP | Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning. | Ziyang Wang, Jaehong Yoon, Shoubin Yu, Md Mohaiminul Islam, Gedas Bertasius, Mohit Bansal |
| 2025 | EMNLP | RACCooN: Versatile Instructional Video Editing with Auto-Generated Narratives. | Jaehong Yoon, Shoubin Yu, Mohit Bansal |
| 2025 | EMNLP | MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation. | Shoubin Yu, Yue Zhang, Ziyang Wang, Jaehong Yoon, Mohit Bansal |
| 2025 | ICIP | VIDA: Unsupervised Visible-to-Infrared Domain Adaptation for Object Detection Using Large Vision Language Model. | Chanyeong Park, Junbo Jang, Jiyoon Lee, Jaehong Yoon, Minju Baek, Joonki Paik |
| 2025 | ICIP | F-LGAM: Enhancing Single Domain Generalized Object Detection Through Fourier-Based Local and Global Amplitude Mixup. | Chanyeong Park, Junbo Jang, Jaehong Yoon, Minju Baek, Joonki Paik |
| 2025 | ICLR | Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection. | Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal |
| 2025 | ICLR | SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation. | Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal |
| 2025 | ICLR | CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion. | Shoubin Yu, Jaehong Yoon, Mohit Bansal |
| 2024 | ACL | Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. | Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang |
| 2024 | CVPR | Multimodal Representation Learning by Alternating Unimodal Adaptation. | Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao |
| 2024 | ICLR | Progressive Fourier Neural Representation for Sequential Video Compilation. | Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo |
| 2024 | ICLR | ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. | Yi-Lin Sung, Jaehong Yoon, Mohit Bansal |
| 2024 | ICLR | Analyzing and Mitigating Object Hallucination in Large Vision-Language Models. | Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao |
| 2024 | ICML | EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens. | Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang |
| 2024 | ICML | BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation. | Daeun Lee, Jaehong Yoon, Sung Ju Hwang |
| 2024 | ICML | STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment. | Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang |
| 2024 | NAACL | Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. | Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun |
| 2023 | ICCV | Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. | Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang |
| 2023 | ICLR | On the Soft-Subnetwork for Few-Shot Class Incremental Learning. | Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo |
| 2023 | ICML | Personalized Subgraph Federated Learning. | Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang |
| 2023 | ICML | Continual Learners are Incremental Model Generalizers. | Jaehong Yoon, Sung Ju Hwang, Yue Cao |
| 2022 | ECCV | BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation. | Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar |
| 2022 | ICLR | Representational Continuity for Unsupervised Continual Learning. | Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang |
| 2022 | ICLR | Online Coreset Selection for Rehearsal-based Continual Learning. | Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang |
| 2022 | ICML | Forget-free Continual Learning with Winning Subnetworks. | Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo |
| 2022 | ICML | Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. | Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang |
| 2021 | ICLR | Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. | Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang |
| 2021 | ICML | Federated Continual Learning with Weighted Inter-client Transfer. | Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang |
| 2020 | ICLR | Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. | Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang |
| 2018 | ICLR | Lifelong Learning with Dynamically Expandable Networks. | Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang |
| 2017 | ICML | Combined Group and Exclusive Sparsity for Deep Neural Networks. | Jaehong Yoon, Sung Ju Hwang |