Shuo Han
15 papers · 2021–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (41) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(80)
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Renaissance Researcher
(9)
π
Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(11)
Core AI
(10)
Natural Language Processing
(8)
Machine Learning
(5)
Applications
(5)
Deep Learning
(3)
Application Areas
(3)
Learning Types Β· Deep Learning
(3)
Learning Types Β· Machine Learning
(3)
Mathematics & Optimization
(2)
Generation
(2)
Learning Paradigms
(2)
Optimization
(2)
Resources & Methods
(2)
Healthcare & Medicine
(1)
Keywords
retrieval-augmented generation
(3)
multimodal learning
(2)
audio understanding
(2)
natural language processing
(2)
large language model
(2)
knowledge distillation
(1)
cross-modal retrieval
(1)
optimal transport
(1)
composite optimization
(1)
monte carlo tree search
(1)
policy gradient
(1)
graph structure
(1)
speech enhancement
(1)
audio signal processing
(1)
model-based reinforcement learning
(1)
source-free domain adaptation
(1)
optimal control
(1)
secure aggregation
(1)
empirical risk minimization
(1)
natural language inference
(1)
Papers
ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care
AAAI 2026
Polysemic Semantic Instance Network for Cross-Modal Hashing
AAAI 2026
PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning
AAAI 2026
Vision-Language Model Guided Source-Free Domain Adaptation via Optimal Transport
CVPR 2026
ADIFF: Explaining audio difference using natural language
ICLR 2025
Audio Entailment: Assessing Deductive Reasoning for Audio Understanding
AAAI 2025
From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations
EMNLP 2025
GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding
ACL 2025
Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents
ICML 2025
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
ACL 2025
DeWinder: Single-Channel Wind Noise Reduction using Ultrasound Sensing
Interspeech 2024
Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image Denoising
MICCAI 2024
Soft-Label Integration for Robust Toxicity Classification
NeurIPS 2024
Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective
L4DC 2022
A Secure and Efficient Federated Learning Framework for NLP
EMNLP 2021