Jaehong Yoon
Assistant Professor
Works on machine learning and deep learning across vision and language, including efficient and continual learning of multimodal models.
Jaehong Yoon's lab at NTU works on vision-language & multimodal, multimodal & grounded language and efficient training & inference. 45 papers since 2023, 37 at top venues, mostly ICLR and ICML. 7 PhD students and 1 master's student.
At a glance
- papers, 2023–2026
- 12/ year
- at T1 venues
- 82%
- PhD students
- 7
- MS students
- 1
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 19 papers2026 · T1 14 · collecting
- 11 papers2025 · T1 9
- 11 papers2024 · T1 10
- 4 papers2023 · T1 4
T1 venuesOtherVenues: ICLR, ICML, CVPR, EMNLP, NeurIPS
Research focuspaper titles that use each topic's words
- Multimodal & grounded language13 papers
- Vision-language & multimodal12 papers
- Efficient training & inference9 papers
- continual learning1 paper
- multimodal models0 papers
Paper list
From the lab homepage.
202619 papers
- AAAI (T1)C34 DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation
- EACLC35 DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning
- ICLR (T1)C36 TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models
- ICLR (T1)C37 Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models
- CVPR (T1)C38 Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation
- CVPR (T1)C39 WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning
- Findings of ACLC40 Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement
- ICML (T1)C41 EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance
- ICML (T1)C42 Self-Refining Video Sampling
- ECCV (T1)C43 AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- ECCV (T1)C44 Are Video Reasoning Models Ready to Go Outside?
- COLMC45 Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning?
202511 papers
- ICLR (T1)C25 CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
- ICLR (T1)C26 Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection
- ICLR (T1)C27 SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation
- CVPR (T1)C28 VideoTree: Adaptive Tree-Based Video Representation for LLM Reasoning on Long Videos
- Findings of EMNLPC29 Video-Skill-CoT: Skill-Based Chain-of-Thoughts for Domain-Adaptive Video Reasoning
- Findings of EMNLPC30 MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation
- EMNLP (T1)C31 Glider: Global and Local Instruction-Driven Expert Router
- EMNLP (T1)C32 RACCooN: A Versatile Instructional Video Editing Framework with Auto-Generated Narratives
- EMNLP (T1)C33 Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning
- TPAMI (T1)J1 Continual Learning: Forget-Free Winning Subnetworks for Video Representations
- TMLR (T1)J2 Reliable and Responsible Foundation Models
202411 papers
- ICLR (T1)C14 Progressive Fourier Neural Representation for Sequential Video Compilation
- ICLR (T1)C15 Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
- ICLR (T1)C16 ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
- CVPR (T1)C17 Multimodal Representation Learning by Alternating Unimodal Adaptation
- NAACL (T1)C18 Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models
- ICML (T1)C19 BECoTTA: Input-Dependent Online Blending of Experts for Continual Test-Time Adaptation
- ICML (T1)C20 EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
- ICML (T1)C21 STELLA: Continual Audio-Video Pre-Training with Spatio-Temporal Localized Alignment
- ACL (T1)C22 Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
- COLMC23 EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
- NeurIPS (T1)C24 SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
20234 papers
- ICLR (T1)C10 On the Soft-Subnetwork for Few-Shot Class Incremental Learning
- ICML (T1)C11 Personalized Subgraph Federated Learning
- ICML (T1)C12 Continual Learners are Incremental Model Generalizers
- ICCV (T1)C13 Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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