Shiyu Wang
20 papers · 2022–2026 · 10 conferences · across top CS/AI conferences
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (37) π Conference Polyglot (9) π Renaissance Researcher (8) π§ Keyword Pioneer
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Conferences
ICLR (5)
AAAI (3)
NIPS (3)
ACL (2)
EMNLP (2)
COLING (1)
ICCV (1)
ICML (1)
IJCAI (1)
MIDL (1)
Top co-authors
Keywords
representation learning
(2)
large language model
(2)
graph neural network
(2)
reinforcement learning
(2)
disentangled representation
(2)
few-shot learning
(2)
text classification
(1)
image synthesis
(1)
domain adaptation
(1)
distributed learning
(1)
resource allocation
(1)
multi-modal learning
(1)
graph generation
(1)
low-resource learning
(1)
multimodal learning
(1)
time series forecasting
(1)
time series
(1)
in-context learning
(1)
evaluation framework
(1)
energy efficiency
(1)
Papers
STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning
ACL 2026
Context-aware Graph Meta-learning
AAAI 2026
UnEBOLT: A Unified Model for EEG-to-BOLD Translation and Functional Connectivity Reconstruction
MIDL 2026
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
ICML 2025
Text2Data: Low-Resource Data Generation with Textual Control
AAAI 2025
ADEPT-SQL: A High-performance Text-to-SQL Application for Real-World Enterprise-Level Databases
ACL 2025
Pre-trained Semantic Interaction based Inductive Graph Neural Networks for Text Classification
COLING 2025
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
EMNLP 2025
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
EMNLP 2025
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
ICCV 2025
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
ICLR 2025
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
ICLR 2025
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
ICLR 2024
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
NIPS 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
ICLR 2024
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
ICLR 2024
Full Scaling Automation for Sustainable Development of Green Data Centers
IJCAI 2023
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies
AAAI 2023
Multi-objective Deep Data Generation with Correlated Property Control
NIPS 2022
Deep Generative Model for Periodic Graphs
NIPS 2022