Zhengyang Zhou

Venues

Frequent coauthors

Papers

1. Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
   ACL 2026 ·

   Zhiqing Cui

   DBLP profile ↗ORCID search ↗
2. DualGR: Generative Retrieval with Long and Short-Term Interests Modeling
   WWW 2026 ·

   Zhongchao Yi

   DBLP profile ↗ORCID search ↗
3. MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds
   AAAI 2026 ·

   Xiaohan Qin

   DBLP profile ↗ORCID search ↗
4. QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting
   WWW 2026 ·

   Shichao Ma

   DBLP profile ↗ORCID search ↗
5. TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization
   ACL 2026 ·

   Shichao Ma

   DBLP profile ↗ORCID search ↗
6. Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing
   AAAI 2026 ·

   Shichao Ma

   DBLP profile ↗ORCID search ↗
7. U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions
   AAAI 2026 ·

   Guanjun Wang

   DBLP profile ↗ORCID search ↗
8. BiST: A Lightweight and Efficient Bi-directional Model for Spatiotemporal Prediction
   VLDB 2025 ·

   Jiaming Ma

   DBLP profile ↗ORCID search ↗
9. Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting
   IJCAI 2025 ·

   Jiaming Ma

   DBLP profile ↗ORCID search ↗
10. DIFFODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis
    ICDE 2025 ·

    Yudong Zhang

    DBLP profile ↗ORCID search ↗
11. Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture
    WWW 2025 ·

    Yudong Zhang

    DBLP profile ↗ORCID search ↗
12. Enhancing Graph Invariant Learning from a Negative Inference Perspective
    ICML 2025 ·

    Kuo Yang

    DBLP profile ↗ORCID search ↗
13. Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting
    NeurIPS 2025 ·

    Jiahui Zhang

    DBLP profile ↗ORCID search ↗
14. Exploiting Language Power for Time Series Forecasting with Exogenous Variables
    WWW 2025 ·

    Qihe Huang

    DBLP profile ↗ORCID search ↗
15. FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning
    WWW 2025 ·

    Yudong Zhang

    DBLP profile ↗ORCID search ↗
16. LamPro: Multi-Prototype Representation Learning for Enhanced Visual Pattern Recognition
    ICRA 2025 ·

    Ji Qi

    DBLP profile ↗ORCID search ↗
17. Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
    NeurIPS 2025 ·

    Jiaming Ma

    DBLP profile ↗ORCID search ↗
18. Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation
    NeurIPS 2025 ·

    Qihe Huang

    DBLP profile ↗ORCID search ↗
19. MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
    NeurIPS 2025 ·

    Jiaming Ma

    DBLP profile ↗ORCID search ↗
20. Revealing Concept Shift in Spatio-Temporal Graphs via State Learning
    IJCAI 2025 ·

    Kuo Yang

    DBLP profile ↗ORCID search ↗
21. Robust Spatio-Temporal Centralized Interaction for OOD Learning
    ICML 2025 ·

    Jiaming Ma

    DBLP profile ↗ORCID search ↗
22. SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation
    ICML 2025 ·

    Jiayue Liu

    DBLP profile ↗ORCID search ↗
23. TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting
    ICML 2025 ·

    Qihe Huang

    DBLP profile ↗ORCID search ↗
24. A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks
    AAAI 2024 ·

    Zhe Zhao

    DBLP profile ↗ORCID search ↗
25. CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting
    WSDM 2024 · Zhengyang Zhou
26. Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
    AAAI 2024 ·

    Hao Wu

    DBLP profile ↗ORCID search ↗
27. Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
    NeurIPS 2024 ·

    Zhongchao Yi

    DBLP profile ↗ORCID search ↗
28. HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting
    AAAI 2024 ·

    Qihe Huang

    DBLP profile ↗ORCID search ↗
29. Improving Generalization of Dynamic Graph Learning via Environment Prompt
    NeurIPS 2024 ·

    Kuo Yang

    DBLP profile ↗ORCID search ↗
30. LeRet: Language-Empowered Retentive Network for Time Series Forecasting
    IJCAI 2024 ·

    Qihe Huang

    DBLP profile ↗ORCID search ↗
31. Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity
    IJCAI 2024 ·

    Binwu Wang

    DBLP profile ↗ORCID search ↗
32. NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching
    AAAI 2024 ·

    Hongbo Zhang

    DBLP profile ↗ORCID search ↗
33. STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts
    SIGKDD 2024 ·

    Binwu Wang

    DBLP profile ↗ORCID search ↗
34. Scenario-Driven Cyber-Physical-Social System: Intelligent Workflow Generation Based on Capability
    WWW 2024 ·

    Yi Li

    DBLP profile ↗ORCID search ↗
35. Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
    AAAI 2024 ·

    Binwu Wang

    DBLP profile ↗ORCID search ↗
36. Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
    IJCAI 2024 ·

    Kang Luo

    DBLP profile ↗ORCID search ↗