Chengyuan Deng

According to our database, Chengyuan Deng authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Low Sensitivity Hopsets.

Vikrant Ashvinkumar, Aaron Bernstein, Chengyuan Deng, Jie Gao, Nicole Wein

CoRR, 2024

RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detection.

Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Haifeng Chen, Jie Gao

CoRR, 2024

Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas.

Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Yichen Wang, Shenghao Wu, Zongxing Xie, Kuofeng Gao, Sihong He, Jun Zhuang, Lu Cheng, Haohan Wang

CoRR, 2024

LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis.

Lecheng Zheng, Zhengzhang Chen, Dongjie Wang, Chengyuan Deng, Reon Matsuoka, Haifeng Chen

CoRR, 2024

The Discrepancy of Shortest Paths.

Greg Bodwin, Chengyuan Deng, Jie Gao, Gary Hoppenworth, Jalaj Upadhyay, Chen Wang

Proceedings of the 51st International Colloquium on Automata, Languages, and Programming, 2024

2023

E^FWI: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.

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

CoRR, 2023

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

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

CoRR, 2023

Impossibility of Depth Reduction in Explainable Clustering.

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

CoRR, 2023

Differentially Private Range Query on Shortest Paths.

Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang

Proceedings of the Algorithms and Data Structures - 18th International Symposium, 2023

E^FWI: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance.

Vikrant Ashvinkumar, Sepehr Assadi, Chengyuan Deng, Jie Gao, Chen Wang

Proceedings of the Approximation, 2023

2022

OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion.

Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Adaptive ensemble of classifiers with regularization for imbalanced data classification.

Chen Wang, Chengyuan Deng, Zhoulu Yu, Dafeng Hui, Xiaofeng Gong, Ruisen Luo

Inf. Fusion, 2021

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

Chengyuan Deng, Youzuo Lin

CoRR, 2021

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

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

CoRR, 2021

2020

Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost.

Chen Wang, Chengyuan Deng, Suzhen Wang

Pattern Recognit. Lett., 2020

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

Chen Wang, Chengyuan Deng, Vladimir Ivanov

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

On the Global Self-attention Mechanism for Graph Convolutional Networks.

Chen Wang, Chengyuan Deng

Proceedings of the 25th International Conference on Pattern Recognition, 2020