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Zhengyang Zhou

24 papers · 2020–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸƒ Academic Marathon (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (14)
🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (49) πŸŒ‰ Interdisciplinary Bridge 🀝 Dynamic Duo (17) πŸ† Keyword Champion (3) πŸ† Grand Slam ⚑ Prolific Year (10) πŸ’Ž Century Club (20) πŸ—ƒοΈ Keyword Collector (99)

Conferences

AAAI (9) IJCAI (5) ICML (4) NIPS (4) ACL (1) ICLR (1)

Papers

MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds AAAI 2026 Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models ACL 2026 Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing AAAI 2026 U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions AAAI 2026 SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation ICML 2025 TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting ICML 2025 Robust Spatio-Temporal Centralized Interaction for OOD Learning ICML 2025 Enhancing Graph Invariant Learning from a Negative Inference Perspective ICML 2025 Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting IJCAI 2025 Revealing Concept Shift in Spatio-Temporal Graphs via State Learning IJCAI 2025 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024 NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching AAAI 2024 Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024 HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting AAAI 2024 Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model AAAI 2024 Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework NIPS 2024 Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024 Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity IJCAI 2024 LeRet: Language-Empowered Retentive Network for Time Series Forecasting IJCAI 2024 Improving Generalization of Dynamic Graph Learning via Environment Prompt NIPS 2024 CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement NIPS 2023 Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment NIPS 2023 GReTo: Remedying dynamic graph topology-task discordance via target homophily ICLR 2023 RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework AAAI 2020