Shikai Fang
百人计划研究员
Works on probabilistic machine learning and tensor methods in ISEE's Institute of Signal Space and Information Systems.
Shikai Fang's lab at Zhejiang works on probabilistic & causal inference. 15 papers since 2023, 12 at top venues, mostly ICLR and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 80%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 2 · collecting
- 5 papers2025 · T1 4
- 3 papers2024 · T1 3
- 3 papers2023 · T1 3
T1 venuesOtherVenues: ICLR, NeurIPS, ICML, KDD, Findings of ACL
Research focuspaper titles that use each topic's words
- tensor6 papers
- Probabilistic & causal inference4 papers
- isee0 papers
- tensor methods0 papers
- information systems0 papers
Paper list
From DBLP.
20264 papers
- KDD (T1)Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation (opens in a new tab)
- Findings of ACLReasoning as Gradient: Scaling MLE Agents Beyond Tree Search (opens in a new tab)
- ICLR (T1)SONATA: Synergistic Coreset Informed Adaptive Temporal Tensor Factorization (opens in a new tab)
- Trans. Mach. Learn. Res.When VMP Meets CEP: An Algorithmic Equivalence Under Mild Conditions (opens in a new tab)
20255 papers
- NeurIPS (T1)Functional Complexity-adaptive Temporal Tensor Decomposition (opens in a new tab)
- NeurIPS (T1)Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations (opens in a new tab)
- ICLR (T1)MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model (opens in a new tab)
- KDD (T1)Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting (opens in a new tab)
- IEEE Trans. Signal Process.When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning (opens in a new tab)
20243 papers
- ICML (T1)BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (opens in a new tab)
- ICLR (T1)Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data (opens in a new tab)
- ICLR (T1)Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (opens in a new tab)
20233 papers
- NeurIPS (T1)Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes (opens in a new tab)
- ICML (T1)Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation (opens in a new tab)
- NeurIPS (T1)Streaming Factor Trajectory Learning for Temporal Tensor Decomposition (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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