Zhengyang Zhou

24 papers · 2020–2026 · 6 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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🗺️ Taxonomy Completionist (49) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🏆 Keyword Champion (3) 🤝 Dynamic Duo (21) 🏆 Grand Slam 🌈 Renaissance Researcher (6) ⚡ Prolific Year · Prolific 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (127)

Venues

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

Top co-authors

Yang Wang (21) Qihe Huang (11) Binwu Wang (7) Kuo Yang (7) Xu Wang (6) Pengkun Wang (6) Yuxuan Liang (5) Zhongchao Yi (4) Jiaming Ma (3) Zhe Zhao (3)

Research topics

Machine Learning (21) Artificial Intelligence (14) Deep Learning (14) Architectures (12) Core AI (11) Application Areas (10) Core Methods (10) Learning Types · Machine Learning (9) Data Science & Analytics (6) Learning Types · Deep Learning (5) Methods (5) Learning Paradigms (4) Computer Vision (3) Applications (3) Knowledge & Reasoning (2)

Keywords

graph neural network (9) causal inference (5) dynamic graph (5) causal learning (3) representation learning (3) time series forecasting (3) information theory (2) multi-task learning (2) domain generalization (2) large language model (2) backdoor adjustment (2) time series prediction (2) traffic prediction (2) knowledge transfer (1) curriculum learning (1) graph classification (1) domain adaptation (1) few-shot learning (1) prompt learning (1) transfer learning (1)

Papers

Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models ACL 2026 MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds AAAI 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 Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting IJCAI 2025 Enhancing Graph Invariant Learning from a Negative Inference Perspective ICML 2025 Revealing Concept Shift in Spatio-Temporal Graphs via State Learning IJCAI 2025 Robust Spatio-Temporal Centralized Interaction for OOD Learning ICML 2025 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 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks 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 NeurIPS 2024 HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting AAAI 2024 Improving Generalization of Dynamic Graph Learning via Environment Prompt NeurIPS 2024 LeRet: Language-Empowered Retentive Network for Time Series Forecasting IJCAI 2024 Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity IJCAI 2024 NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching AAAI 2024 Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024 Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024 CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement NeurIPS 2023 Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment NeurIPS 2023 GReTo: Remedying dynamic graph topology-task discordance via target homophily ICLR 2023 RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework AAAI 2020