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• Luu, T. M., Lee, D., Lee, Y., & Yoo, C. D. (2025). Policy Learning from Large Vision-Language Model Feedback Without Reward Modeling. arXiv preprint arXiv:2507.23391. (IROS 2025)

• Lee, D., Luu, T. M., Lee, Y., & Yoo, C. D. (2025, April). Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation. In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE. (ICASSP 2025)

• Lee, Y., Luu, T.M., Lee, D., & Yoo, C.D. (2025). Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning. ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1-5. (ICASSP 2025)

[2024]

• Yoon, E., Yoon, H. S., Harvill, J., Hasegawa-Johnson, M., & Yoo, C. D. (2024). Li-tta: Language informed test-time adaptation for automatic speech recognition. arXiv preprint arXiv:2408.05769. (INTERSPEECH 2024)

• Yoon, H. S., Yoon, E., Tee, J. T. J., Zhang, K., Heo, Y. J., Chang, D. S., & Yoo, C. D. (2024, September). Bi-mdrg: Bridging image history in multimodal dialogue response generation. In European Conference on Computer Vision (pp. 378-396). Cham: Springer Nature Switzerland. (ECCV 2024)

• Yoon, S., Koo, G., Hong, J. W., & Yoo, C. D. (2024, September). Dni: Dilutional noise initialization for diffusion video editing. In European Conference on Computer Vision (pp. 180-195). Cham: Springer Nature Switzerland. (ECCV 2024)

• Koo, G., Yoon, S., Hong, J. W., & Yoo, C. D. (2024, September). Flexiedit: Frequency-aware latent refinement for enhanced non-rigid editing. In European Conference on Computer Vision (pp. 363-379). Cham: Springer Nature Switzerland. (ECCV 2024)

• Song, S., Yang, S., Yoo, C. D., & Kim, J. (2024, September). Implicit Steganography Beyond the Constraints of Modality. In European Conference on Computer Vision (pp. 289-304). Cham: Springer Nature Switzerland. (ECCV 2024)

• Yoon, S., Koo, G., Kim, G., & Yoo, C. D. (2024). Frag: Frequency adapting group for diffusion video editing. arXiv preprint arXiv:2406.06044. (ICML 2024)

• Pham, T. X., Kang, Z., & Yoo, C. D. (2024). Cross-view masked diffusion transformers for person image synthesis. arXiv preprint arXiv:2402.01516. (ICML 2024)

[2023]

• Yoon, S., Koo, G., Kim, D., & Yoo, C. D. (2023). Scanet: Scene complexity aware network for weakly-supervised video moment retrieval. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 13576-13586). (ICCV 2023)

• Yoon, E., Yoon, H. S., Gowda, D., Eom, S. H., Kim, D., Harvill, J., ... & Yoo, C. D. (2023). Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (Vol. 2023, pp. 2028-2032). (INTERSPEECH 2023)

[2022]

• Zhang, C., Zhang, K., Pham, T. X., Niu, A., Qiao, Z., Yoo, C. D., & Kweon, I. S. (2022). Dual temperature helps contrastive learning without many negative samples: Towards understanding and simplifying moco. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 14441-14450). (CVPR 2022)

•  Yoon, S., Hong, J. W., Yoon, E., Kim, D., Kim, J., Yoon, H. S., & Yoo, C. D. (2022, October). Selective Query-Guided Debiasing for Video Corpus Moment Retrieval. In European Conference on Computer Vision (pp. 185-200). Cham: Springer Nature Switzerland. (ECCV 2022)

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• Hong, J. W., Ton, T., Pham, T. X., Koo, G., Yoon, S., & Yoo, C. D. (2025). ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On. In Proceedings of the Computer Vision and Pattern Recognition Conference (pp. 28284-28294). (CVPR 2025)

• Yoon, E., Yoon, H. S., Hasegawa-Johnson, M. A., & Yoo, C. D. (2025). Can video llms refuse to answer? alignment for answerability in video large language models. In The Thirteenth International Conference on Learning Representations. (ICLR 2025)

• Pham, T. X., Ton, T., & Yoo, C. D. (2024). Mdsgen: Fast and efficient masked diffusion temporal-aware transformers for open-domain sound generation. arXiv preprint arXiv:2410.02130. (ICLR 2025)

• Koo, G., Yoon, S., Lee, Y., Hong, J. W., & Yoo, C. D. (2025). Flowdrag: 3d-aware drag-based image editing with mesh-guided deformation vector flow fields. arXiv preprint arXiv:2507.08285. (ICML 2025) (Spotlight)

• Yoon, H. S., Yoon, E., Hasegawa-Johnson, M. A., Kim, S., & Yoo, C. D. ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization. In Forty-second International Conference on Machine Learning. (ICML 2025)

• Luu, T. M., Lee, Y., Lee, D., Kim, S., Kim, M. J., & Yoo, C. D. (2025). Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models. arXiv preprint arXiv:2506.12822. (ICML 2025)

• Yoon, S., Koo, G., Lee, Y., Hong, J. W., & Yoo, C. D. (2025). Occlusion-robust Stylization for Drawing-based 3D Animation. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 12263-12273). (ICCV 2025)

• Tee, J. T. J., Yoon, H. S., Syarubany, A. H. M., Yoon, E., & Yoo, C. D. A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models. In The Thirty-ninth Annual Conference on Neural Information Processing Systems. (ICCV 2025)

[2024]

• Ryu, H., Yoon, S., Yoon, H. S., Yoon, E., & Yoo, C. D. (2024, March). Simpsi: A simple strategy to preserve spectral information in time series data augmentation. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 38, No. 13, pp. 14857-14865). (AAAI 2024)

• Yoon, S., Koo, G., Lee, Y., & Yoo, C. (2024). Tpc: Test-time procrustes calibration for diffusion-based human image animation. Advances in Neural Information Processing Systems, 37, 118654-118677. (NeurIPS 2024)

[2023]

• Yoon, S., Kim, D., Yoon, E., Yoon, H., Kim, J., & Yoo, C. (2023, December). HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue. In Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 11911-11924). (EMNLP 2023)

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• Lee, Junghyun, et al. "Fast and efficient MMD-based fair PCA via optimization over Stiefel manifold." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 36. No. 7. 2022. (AAAI 2022)

• Vu, T., Kim, K., Luu, T. M., Nguyen, T., & Yoo, C. D. (2022). Softgroup for 3d instance segmentation on point clouds. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2708-2717). (CVPR 2022) (Oral)

• Yoon, S., Yoon, E., Yoon, H. S., Kim, J., & Yoo, C. (2022, December). Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (pp. 4182-4193). (EMNLP 2022)

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• 이동훈, & 유창동. (2024). 로봇 매니퓰레이터의 다양한 작업 확장성을 위한 지속적 강화학습 기법. 대한전자공학회 학술대회, 1733-1736. 

• 나해빈. (2024). Mamba Survey: 시퀀스 모델링을 위한 상태 공간 모델의 발전 및 응용. 대한전자공학회 학술대회, 2403-2406. 

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• 두경빈, 유창동. (2023-05-02). Support Vector Machine을 이용한 자동항공관제시스템. 대한전자공학회 학술대회, 제주.

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• 김대혁, 유창동. (2022-06-29). 딥러닝 기반 컴퓨터 비전의 공정성을 위한 기법 조사 - 학습 데이터를 중심으로. 대한전자공학회 학술대회, 제주.

• 엄수환, 유창동. (2022-06-29). ImageNet Dataset 벤치마크에서 Transformer 기반 모델들의 비교와 분석. 대한전자공학회 학술대회, 제주. 

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• 김다현, 유창동. (2021-06-30). 인공지능을 이용한 비디오 그룹 내 장면 검색. 대한전자공학회 학술대회, 제주.

• Ji Woo Hong, Chang Dong Yoo. (2021-06-30). 대한전자공학회 학술대회, 제주.

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• Cho, S. J., Kim, G., Lee, J., Shin, J., & Yoo, C. D. (2024). Querying easily flip-flopped samples for deep active learning. arXiv preprint arXiv:2401.09787. (ICLR 2024)

• Kang, H., Yoon, J., Kim, D., Hwang, S. J., & Yoo, C. D. (2024, January). Progressive fourier neural representation for sequential video compilation. In The Twelfth International Conference on Learning Representations. (ICLR 2024)

• Lee, D., Shim, J. Y., Yoon, S. J., & Yoo, C. D. (2024, June). Character Identifying Video Language Alignment Network for Weakly-Supervised Video-Subtitle Moment Retrieval. In International Conference on Pattern Recognition and Artificial Intelligence (pp. 108-123). Singapore: Springer Nature Singapore. (PRAI 2024)

• Nguyen, T., Luu, T. M., Ton, T., & Yoo, C. D. (2024, June). Towards robust policy: Enhancing offline reinforcement learning with adversarial attacks and defenses. In International Conference on Pattern Recognition and Artificial Intelligence (pp. 310-324). Singapore: Springer Nature Singapore. (PRAI 2024)

• Luu, T. M., Nguyen, T., Jin, T. J. T., Kim, S., & Yoo, C. D. (2024, October). Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 595-602). IEEE. (IROS 2024)

• Luu, T. M., Lee, D., & Yoo, C. D. (2024, October). Predictive coding for decision transformer. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 7469-7476). IEEE. (IROS 2024)

• Tee, J. T. J., Zhang, K., Yoon, H. S., Gowda, D. N., Kim, C., & Yoo, C. D. (2024). Physics informed distillation for diffusion models. arXiv preprint arXiv:2411.08378. (TMLR 2024)

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• Yoon, S., Hong, J. W., Eom, S., Yoon, H. S., Yoon, E., Kim, D., ... & Yoo, C. D. (2023, June). Counterfactual Two-Stage Debiasing For Video Corpus Moment Retrieval. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE. (ICASSP 2023) (Oral)

• Kang, H., Yoon, J., Madjid, S. R. H., Hwang, S. J., & Yoo, C. D. (2022, September). On the Soft-Subnetwork for Few-Shot Class Incremental Learning. In The Eleventh International Conference on Learning Representations. (ICLR 2023)

• Yoon, H. S., Tee, J. T. J., Yoon, E., Yoon, S., Kim, G., Li, Y., & Yoo, C. D. (2022, September). ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure. In The Eleventh International Conference on Learning Representations. (ICLR 2023)

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• Kang, H., Mina, R. J. L., Madjid, S. R. H., Yoon, J., Hasegawa-Johnson, M., Hwang, S. J., & Yoo, C. D. (2022, June). Forget-free continual learning with winning subnetworks. In International Conference on Machine Learning (pp. 10734-10750). PMLR. (ICML 2022)

• Kim, D., Yoon, S., Hong, J. W., & Yoo, C. D. (2022, May). Semantic association network for video corpus moment retrieval. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1720-1724). IEEE. (ICASSP 2022)

• Zhang, C., Zhang, K., Zhang, C., Pham, T. X., Yoo, C. D., & Kweon, I. S. (2021, October). How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. In International Conference on Learning Representations. (ICLR 2022)

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• Vu, T., Kim, K., Kang, H., Nguyen, X. T., Luu, T. M., & Yoo, C. D. (2021, September). Sphererpn: Learning spheres for high-quality region proposals on 3D point clouds object detection. In 2021 IEEE International Conference on Image Processing (ICIP) (pp. 3173-3177). IEEE. (ICIP 2021)

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[2024]

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• Nguyen, T., Luu, T. M., Ton, T., Kim, S., & Yoo, C. D. (2024). Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning. IEEE Access, 12, 100972-100982. 

• Cho, S. J., Kim, G., & Yoo, C. D. (2024). Hypothesis perturbation for active learning. IEEE Journal of Selected Topics in Signal Processing. 

[2023]

• Vu, T., Kim, K., Nguyen, T., Luu, T. M., Kim, J., & Yoo, C. D. (2023). Scalable SoftGroup for 3D Instance Segmentation on Point Clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence. (IF=23.6)

• Nguyen, T., Pham, T. X., Zhang, C., Luu, T. M., Vu, T., & Yoo, C. D. (2023). DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. IEEE Access, 11, 21534-21545. 

[2022]

• Pham, T. X., Choi, J. W., Mina, R. J. L., Nguyen, T. X., Madjid, S. R., & Yoo, C. D. (2022). Lad: A hybrid deep learning system for benign paroxysmal positional vertigo disorders diagnostic. IEEE Access, 10, 113995-114007. 

• Kim, G., Yoo, C. D., & Yang, S. J. (2022). Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms. IEEE Access, 10, 62282-62291. 

• Luu, T. M., Nguyen, T., Vu, T., & Yoo, C. D. (2022). Utilizing skipped frames in action repeats for improving sample efficiency in reinforcement learning. IEEE Access, 10, 64965-64975. 

• Yoon, S., Kim, D., Kim, J., & Yoo, C. D. (2022). Cascaded MPN: Cascaded Moment Proposal Network for Video Corpus Moment Retrieval. IEEE Access, 10, 64560-64568. 

• Yoon, S., Kim, D., Hong, J. W., Kim, J., & Yoo, C. D. (2022). Dual-scale doppler attention for human identification. Sensors, 22(17), 6363.