Yu Huang
32 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
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(56)
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Conferences
AAAI (10)
ACL (5)
CVPR (5)
ICML (4)
NIPS (4)
EMNLP (1)
ICLR (1)
IJCAI (1)
JMLR (1)
Top co-authors
Research topics
Keywords
generative model
(4)
vision-language model
(4)
multimodal large language model
(4)
medical imaging
(2)
contrastive learning
(2)
high-resolution simulation
(2)
gradient descent
(2)
visual question answering
(2)
semantic segmentation
(2)
medical image understanding
(2)
multimodal learning
(2)
multi-modal learning
(2)
domain adaptation
(1)
transfer learning
(1)
stochastic gradient descent
(1)
domain generalization
(1)
few-shot learning
(1)
transformer architecture
(1)
feature learning
(1)
knowledge editing
(1)
Papers
Beyond Conservation: Flexible Molecular Assembly with Unbalanced Diffusion Bridge
AAAI 2026
Beyond Single View: A Comprehensive Benchmark for Medical Multimodal Large Language Models on Multi-Image Understanding
ACL 2026
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention
ACL 2026
XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs
AAAI 2026
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
AAAI 2026
MedMKEB: A Comprehensive Knowledge Editing Benchmark for Medical Multimodal Large Language Models
AAAI 2026
Efficient Segmentation with Multimodal Large Language Model via Token Routing
AAAI 2026
Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment
AAAI 2026
Scene Experts: Specializing in 3D Gaussian Splatting with Adaptive Decomposition
AAAI 2026
DatawiseAgent: A Notebook-Centric LLM Agent Framework for Adaptive and Robust Data Science Automation
EMNLP 2025
A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
ICLR 2025
Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models
AAAI 2025
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling
AAAI 2025
Does Chain-of-Thought Reasoning Really Reduce Harmfulness from Jailbreaking?
ACL 2025
MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal Output
CVPR 2025
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space
CVPR 2025
Star with Bilinear Mapping
CVPR 2025
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
CVPR 2025
Domain Generalization in CLIP via Learning with Diverse Text Prompts
CVPR 2025
ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation
JMLR 2025
Accelerating Convergence of Score-Based Diffusion Models, Provably
ICML 2024
In-context Convergence of Transformers
ICML 2024
MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering
ACL 2024
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis
AAAI 2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers
NIPS 2024
BetterV: Controlled Verilog Generation with Discriminative Guidance
ICML 2024
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
NIPS 2023
CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset
ACL 2023
Provable Generalization of Overparameterized Meta-learning Trained with SGD
NIPS 2022
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
ICML 2022
GAEN: Graph Attention Evolving Networks
IJCAI 2021
What Makes Multi-Modal Learning Better than Single (Provably)
NIPS 2021