Haotian Sun
10 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (28) π£ Hot Topic Early Bird π Grand Slam
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Core AI
(8)
Deep Learning
(5)
Application Areas
(4)
Architectures
(4)
Learning Types
(4)
Natural Language Processing
(3)
Models
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Healthcare & Medicine
(1)
Knowledge & Reasoning
(1)
Applications
(1)
Clinical
(1)
Keywords
large language model
(4)
mixture of expert
(2)
domain adaptation
(2)
sequential decision making
(1)
graph generation
(1)
attention mechanism
(1)
uncertainty quantification
(1)
question answering
(1)
causal effect estimation
(1)
test-time adaptation
(1)
long short-term memory
(1)
singular value decomposition
(1)
generative model
(1)
diffusion model
(1)
autoregressive model
(1)
knowledge distillation
(1)
recurrent neural network
(1)
graph transformer
(1)
language model
(1)
graph classification
(1)
Papers
BSAN: Behavioral State Attention Network for Modeling Mosquito Host-Seeking Behavior
AAAI 2026
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
ICLR 2025
Spectral Representation for Causal Estimation with Hidden Confounders
AISTATS 2025
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
ICML 2024
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
NeurIPS 2024
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning
EMNLP 2024
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
AISTATS 2024
AdaPlanner: Adaptive Planning from Feedback with Language Models
NeurIPS 2023
Autoregressive Diffusion Model for Graph Generation
ICML 2023
ToolQA: A Dataset for LLM Question Answering with External Tools
NeurIPS 2023