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Shiyu Wang

20 papers · 2022–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (37) 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer
🧭 Keyword Pioneer πŸ† Grand Slam 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (75) πŸ’Ž Century Club (17) ⚑ Prolific Year (9) πŸ”₯ Unstoppable (5)

Conferences

ICLR (5) AAAI (3) NIPS (3) ACL (2) EMNLP (2) COLING (1) ICCV (1) ICML (1) IJCAI (1) MIDL (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