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Zhang, Zecheng

  1. Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
    2023/07/16 by Song, Bowen, Kwon, Soo Min, Zhang, Zecheng +3 · 37 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  2. RelBench: A Benchmark for Deep Learning on Relational Databases
    2024/07/29 by Joshua Robinson, Robinson, Joshua, Rishabh Ranjan +21 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Mining Algorithms and Applications #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation
    2024/04/18 by Jingmin Sun, Yuxuan Liu, Sun, Jingmin +5 · 12 citations
    Physics and Astronomy · #Model Reduction and Neural Networks
  4. PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamics
    2024/09/15 by Liu, Yuxuan, Sun, Jingmin, He, Xinjie +3 · 10 citations
    #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  5. On Learning the Dynamical Response of Nonlinear Control Systems with Deep Operator Networks
    2022/06/14 by Guang Li, Christian Moya, Lin, Guang +3 · 4 citations
    Computer Science · Mathematics · Physics and Astronomy · #Dynamical Systems (math.DS) #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods for differential equations
  6. CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents
    2024/07/01 by Tianqi Xu, Xu, Tianqi, Linyao Chen +23 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #Speech and dialogue systems
  7. NH-PINN: Neural homogenization based physics-informed neural network for multiscale problems
    2021/08/30 by Leung, Wing Tat, Lin, Guang, Zhang, Zecheng · 3 citations
    #FOS: Mathematics #Numerical Analysis (math.NA)
  8. Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees
    2024/05/22 by Cangqing Wang, Mingxiu Sui, Wang, Cangqing +7 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  9. PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning
    2024/03/31 by Weihua Hu, Yiwen Yuan, Hu, Weihua +14 · 4 citations
    Computer Science · Psychology · #Artificial Intelligence in Games #Databases (cs.DB) #FOS: Computer and information sciences #Innovative Teaching and Learning Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech and dialogue systems
  10. PyG 2.0: Scalable Learning on Real World Graphs
    2025/07/22 by Matthias Fey, Fey, Matthias, Akihiro Nitta +21 · 15 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
  11. BelNet: Basis enhanced learning, a mesh-free neural operator
    2022/12/14 by Zecheng Zhang, Wing Tat Leung, Zhang, Zecheng +3 · 4 citations
    Computer Science · Materials Science · Physics and Astronomy · #Advanced Mathematical Modeling in Engineering #FOS: Mathematics #Magnetic Properties and Applications #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  12. ContextGNN: Beyond Two-Tower Recommendation Systems
    2024/11/29 by Yiwen Yuan, Zecheng Zhang, Yuan, Yiwen +23 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Recommender Systems and Techniques
  13. Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Study
    2024/10/01 by Hao Liu, Liu, Hao, Zecheng Zhang +5 · 5 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  14. Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks
    2024/02/23 by Christian Moya, Amirhossein Mollaali, Moya, Christian +7 · 3 citations
    Engineering · Computer Science · #Fault Detection and Control Systems #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning
  15. Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE
    2023/08/27 by Zecheng Zhang, Zhang, Zecheng, Christian Moya +7 · 2 citations
    Computer Science · Engineering · #Advanced Mathematical Modeling in Engineering #Composite Material Mechanics #Advanced Numerical Methods in Computational Mathematics
  16. Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusion
    2024/08/14 by Peiyuan Chen, Chen, Peiyuan, Zecheng Zhang +7 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  17. Multi-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network
    2021/07/13 by Guang Lin, Lin, Guang, Yating Wang +3 · 1 citation
    Computer Science · Mathematics · Physics and Astronomy · #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  18. Automatic News Generation and Fact-Checking System Based on Language Processing
    2024/05/17 by Xirui Peng, Peng, Xirui, Qiming Xu +14 · 2 citations
    Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #H.4 #I.5 #Machine Learning (cs.LG) #Topic Modeling #Web Data Mining and Analysis
  19. LeMON: Learning to Learn Multi-Operator Networks
    2024/08/28 by Sun, Jingmin, Zhang, Zecheng, Schaeffer, Hayden · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Fast Replica Exchange Stochastic Gradient Langevin Dynamics
    2023/01/05 by Li, Guanxun, Lin, Guang, Zhang, Zecheng +1 · 1 citation
    #FOS: Mathematics #Numerical Analysis (math.NA) #Statistics Theory (math.ST)
  21. Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approach
    2024/08/22 by Zhang, Zecheng · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering
  22. Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU model
    2024/06/20 by Wan, Qianhui, Zhang, Zecheng, Jiang, Liheng +2 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. D2NO: Efficient Handling of Heterogeneous Input Function Spaces with Distributed Deep Neural Operators
    2023/10/29 by Zhang, Zecheng, Moya, Christian, Lu, Lu +2 · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  24. Coefficient-to-Basis Network: A Fine-Tunable Operator Learning Framework for Inverse Problems with Adaptive Discretizations and Theoretical Guarantees
    2025/03/11 by Zecheng Zhang, Zhang, Zecheng, Hao Liu +5 · 3 citations
    Mathematics · #Numerical methods in inverse problems
  25. Distributed-Memory Tensor Completion for Generalized Loss Functions in Python using New Sparse Tensor Kernels
    2019/10/06 by Navjot Singh, Zecheng Zhang, Singh, Navjot +9 · 1 citation
    Mathematics · Computer Science · #Tensor decomposition and applications #Parallel Computing and Optimization Techniques #Computational Physics and Python Applications
  26. DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning
    2024/11/11 by Zhang, Zecheng, Moya, Christian, Lu, Lu +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. AVA: Attentive VLM Agent for Mastering StarCraft II
    2025/03/07 by Ma, Weiyu, Fu, Yuqian, Zhang, Zecheng +2 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
  28. A Deep Learning Framework for Multi-Operator Learning: Architectures and Approximation Theory
    2025/10/29 by Weihs, Adrien, Sun, Jingmin, Zhang, Zecheng +1 · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  29. Finite Element Representation Network (FERN) for Operator Learning with a Localized Trainable Basis
    2025/10/30 by Zecheng Zhang, Zhang, Zecheng, Liu, Hao +6 · 1 citation
    Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods in engineering