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Zecheng Zhang

Coefficient-to-Basis Network: A Fine-Tunable Operator Learning Framework for Inverse Problems with Adaptive Discretizations and Theoretical Guarantees

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Mar 11, 2025
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VLMs Play StarCraft II: A Benchmark and Multimodal Decision Method

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Mar 07, 2025
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CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation

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Feb 07, 2025
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ContextGNN: Beyond Two-Tower Recommendation Systems

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Nov 29, 2024
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DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning

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Nov 11, 2024
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Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model

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Sep 17, 2024
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PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics

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Sep 15, 2024
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LeMON: Learning to Learn Multi-Operator Networks

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Aug 28, 2024
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Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approach

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Aug 22, 2024
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RelBench: A Benchmark for Deep Learning on Relational Databases

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Jul 29, 2024
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