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Chengyuan Deng

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$\mathbf{\mathbb{E}^{FWI}}$: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties

Jun 21, 2023
Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin

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Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models

May 31, 2023
Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao

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Impossibility of Depth Reduction in Explainable Clustering

May 04, 2023
Chengyuan Deng, Surya Teja Gavva, Karthik C. S., Parth Patel, Adarsh Srinivasan

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On the Robustness and Generalization of Deep Learning Driven Full Waveform Inversion

Nov 28, 2021
Chengyuan Deng, Youzuo Lin

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OpenFWI: Benchmark Seismic Datasets for Machine Learning-Based Full Waveform Inversion

Nov 04, 2021
Chengyuan Deng, Yinan Feng, Shihang Feng, Peng Jin, Xitong Zhang, Qili Zeng, Youzuo Lin

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On the Global Self-attention Mechanism for Graph Convolutional Networks

Oct 21, 2020
Chen Wang, Chengyuan Deng

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SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations

Nov 27, 2019
Chen Wang, Chengyuan Deng, Vladimir Ivanov

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Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost

Aug 05, 2019
Chen Wang, Chengyuan Deng, Suzhen Wang

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