Han Lin
12 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (22) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Research topics
Keywords
transformer architecture
(2)
diffusion model
(2)
spectral analysis
(2)
graph theory
(2)
domain adaptation
(1)
sentiment analysis
(1)
representation learning
(1)
motion synthesis
(1)
few-shot learning
(1)
video generation
(1)
self-supervised learning
(1)
attention mechanism
(1)
knowledge distillation
(1)
multimodal learning
(1)
kernel approximation
(1)
cross-modal learning
(1)
point cloud
(1)
human motion synthesis
(1)
fast multipole method
(1)
graph classification
(1)
Papers
DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation
AAAI 2026
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model
ICLR 2025
T2DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning
ACL 2025
VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning
ICLR 2025
Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers
NeurIPS 2024
MCM: Multi-condition Motion Synthesis Framework
IJCAI 2024
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
ICML 2024
Efficient Graph Field Integrators Meet Point Clouds
ICML 2023
Supervised Masked Knowledge Distillation for Few-Shot Transformers
CVPR 2023
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers
ICML 2022
Hybrid Random Features
ICLR 2022
Demystifying Orthogonal Monte Carlo and Beyond
NeurIPS 2020