Portrait of 姚子浩 | Zihao Yao

姚子浩
Zihao Yao

Ph.D. Student
Tongji University
yaozihao@tongji.edu.cn



About Me

I am Zihao Yao, a Ph.D. student in Computer Science and Technology at Tongji University, expected to graduate in March 2030. I received my bachelor’s degree in Mathematics and Applied Mathematics from Tongji University in 2024. My research has been published in top-tier international conferences and journals, including ICML, AAAI, and TBD. I am broadly interested in data mining in open environments and generalized AI for science.

Research Interests

My recent research focuses on multivariate time series analysis, spatio-temporal data mining, and foundation models for spatio-temporal data. I am particularly interested in developing generalizable and trustworthy learning methods for open, heterogeneous, and evolving environments. My primary research directions include:

News

Publications

  1. Teaser image for Towards a Unified Generative Model for Scarce Time Series with Domain Experts ICML
    Towards a Unified Generative Model for Scarce Time Series with Domain Experts
    Zihao Yao, Qi Zheng, Jiankai Zuo, Yaying Zhang
    Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026.
    PDF Code BibTex CCF-A

  2. Teaser image for GLAD: Bidirectional Structure-Attribute Alignment via Latent Graph Diffusion Models ICML
    GLAD: Bidirectional Structure-Attribute Alignment via Latent Graph Diffusion Models
    Jiankai Zuo, Yu Zhang, Yang Zhang, Zihao Yao, Yaying Zhang
    Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026.
    PDF Code BibTex CCF-A

  3. Teaser image for Geometry-Aware Riemannian Residual Displacement for Cross-Broad-Domain Graph Anomaly Detection IJCAI
    Geometry-Aware Riemannian Residual Displacement for Cross-Broad-Domain Graph Anomaly Detection
    Senyong Wang, Zihao Yao, Chen Zhu, Yaying Zhang
    Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI), 2026.
    PDF Code BibTex CCF-B

  4. Teaser image for From User State to Destination: Schrödinger Bridge-Guided Diffusion Model for Personalized Next POI Recommendation TCSS
    From User State to Destination: Schrödinger Bridge-Guided Diffusion Model for Personalized Next POI Recommendation
    Jiankai Zuo, Zihao Yao, Ruijie Xu, Xiang Gao, Yaying Zhang
    IEEE Transactions on Computational Social Systems (TCSS), 2026.
    PDF Code BibTex Q1

  5. Teaser image for GPS-Mamba: Graph Permutation Scanning State Space Model for Multivariate Time Series Forecasting ESWA
    GPS-Mamba: Graph Permutation Scanning State Space Model for Multivariate Time Series Forecasting
    Zihao Yao, Qi Zheng, Jiankai Zuo, Yaying Zhang
    Expert Systems with Applications (ESWA), 2026.
    PDF Code BibTex Q1, Top

  6. Teaser image for DiM-TS: Bridge the Gap Between Selective State Space Models and Time Series for Generative Modeling AAAI
    DiM-TS: Bridge the Gap Between Selective State Space Models and Time Series for Generative Modeling
    Zihao Yao, Jiankai Zuo, Yaying Zhang
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026.
    PDF Code BibTex CCF-A, Oral

  7. Teaser image for Bridging User Dynamic Preferences: A Unified Bridge-Based Diffusion Model for Next POI Recommendation TBD
    Bridging User Dynamic Preferences: A Unified Bridge-Based Diffusion Model for Next POI Recommendation
    Jiankai Zuo, Zihao Yao, Yaying Zhang
    IEEE Transactions on Big Data (TBD), 2025.
    PDF Code BibTex Q1

  8. Teaser image for Correlation-Aware Reordered Scanning Mamba for Multivariate Time Series Forecasting DASFAA
    Correlation-Aware Reordered Scanning Mamba for Multivariate Time Series Forecasting
    Zihao Yao, Qi Zheng, Yaying Zhang
    International Conference on Database Systems for Advanced Applications (DASFAA), 2026.
    PDF Code BibTex CCF-B

  9. Teaser image for ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting AAAI
    ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting
    Qi Zheng, Zihao Yao, Yaying Zhang
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.
    PDF Code BibTex CCF-A

Awards and Honors