Hangjie Yuan
28 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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(41)
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Keyword Pioneer
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Triple Crown
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Dynamic Duo
(11)
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Topic Evolution
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Century Club
(23)
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Unstoppable
(5)
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Keyword Collector
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Prolific Year
(9)
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Conferences
AAAI (8)
ICCV (5)
CVPR (4)
NIPS (4)
ICML (3)
ACL (1)
ICLR (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
diffusion model
(5)
continual learning
(5)
video generation
(4)
catastrophic forgetting
(4)
object detection
(3)
temporal modeling
(2)
graph neural network
(2)
knowledge distillation
(2)
vision-language model
(2)
group activity recognition
(2)
medical image segmentation
(2)
generative model
(2)
zero-shot learning
(2)
self-supervised learning
(2)
multimodal large language model
(2)
hierarchical learning
(1)
temporal dynamics
(1)
scene understanding
(1)
transfer learning
(1)
transformer architecture
(1)
Papers
MCIE: Multimodal LLM-Driven Complex Instruction Image Editing with Spatial Guidance
AAAI 2026
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems
ACL 2026
Adapt Before Continual Learning
AAAI 2026
Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
AAAI 2026
OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization
AAAI 2026
DreamRelation: Relation-Centric Video Customization
ICCV 2025
FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing
AAAI 2025
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
AAAI 2025
FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion
ICCV 2025
SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images
ICCV 2025
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think
ICML 2025
Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
ICML 2025
Revisiting Neural Networks for Continual Learning: An Architectural Perspective
IJCAI 2024
From Denoising Training To Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation
WACV 2024
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
CVPR 2024
InstructVideo: Instructing Video Diffusion Models with Human Feedback
CVPR 2024
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
NIPS 2024
LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition
ICLR 2024
PAPM: A Physics-aware Proxy Model for Process Systems
ICML 2024
Make Continual Learning Stronger via C-Flat
NIPS 2024
A Recipe for Scaling up Text-to-Video Generation with Text-free Videos
CVPR 2024
VideoComposer: Compositional Video Synthesis with Motion Controllability
NIPS 2023
RLIPv2: Fast Scaling of Relational Language-Image Pre-Training
ICCV 2023
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics
AAAI 2022
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
CVPR 2022
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
NIPS 2022
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
ICCV 2021
Learning Visual Context for Group Activity Recognition
AAAI 2021