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2020 – today
- 2024
[c7]Greg Bodwin, Chengyuan Deng, Jie Gao, Gary Hoppenworth, Jalaj Upadhyay, Chen Wang:
The Discrepancy of Shortest Paths. ICALP 2024: 27:1-27:20- [i14]Greg Bodwin, Chengyuan Deng, Jie Gao, Gary Hoppenworth, Jalaj Upadhyay, Chen Wang:
The Discrepancy of Shortest Paths. CoRR abs/2401.15781 (2024) - [i13]Lecheng Zheng, Zhengzhang Chen, Dongjie Wang, Chengyuan Deng, Reon Matsuoka, Haifeng Chen:
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis. CoRR abs/2406.05375 (2024) - [i12]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:
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas. CoRR abs/2406.05392 (2024) - [i11]Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Haifeng Chen, Jie Gao:
RIO-CPD: A Riemannian Geometric Method for Correlation-aware Online Change Point Detection. CoRR abs/2407.09698 (2024) - [i10]Vikrant Ashvinkumar, Aaron Bernstein, Chengyuan Deng, Jie Gao, Nicole Wein:
Low Sensitivity Hopsets. CoRR abs/2407.10249 (2024) - 2023
- [c6]Vikrant Ashvinkumar, Sepehr Assadi, Chengyuan Deng, Jie Gao, Chen Wang:
Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance. APPROX/RANDOM 2023: 58:1-58:23 - [c5]Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin:
EFWI: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties. NeurIPS 2023 - [c4]Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang:
Differentially Private Range Query on Shortest Paths. WADS 2023: 340-370 - [i9]Chengyuan Deng, Surya Teja Gavva, Karthik C. S., Parth Patel, Adarsh Srinivasan:
Impossibility of Depth Reduction in Explainable Clustering. CoRR abs/2305.02850 (2023) - [i8]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:
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR abs/2305.18703 (2023) - [i7]Vikrant Ashvinkumar, Sepehr Assadi, Chengyuan Deng, Jie Gao, Chen Wang:
Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance. CoRR abs/2306.00668 (2023) - [i6]Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin:
EFWI: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties. CoRR abs/2306.12386 (2023) - 2022
- [c3]Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin:
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion. NeurIPS 2022 - 2021
- [j2]Chen Wang
, Chengyuan Deng, Zhoulu Yu, Dafeng Hui, Xiaofeng Gong, Ruisen Luo:
Adaptive ensemble of classifiers with regularization for imbalanced data classification. Inf. Fusion 69: 81-102 (2021) - [i5]Chengyuan Deng, Yinan Feng, Shihang Feng, Peng Jin, Xitong Zhang, Qili Zeng, Youzuo Lin:
OpenFWI: Benchmark Seismic Datasets for Machine Learning-Based Full Waveform Inversion. CoRR abs/2111.02926 (2021) - [i4]Chengyuan Deng, Youzuo Lin:
On the Robustness and Generalization of Deep Learning Driven Full Waveform Inversion. CoRR abs/2111.14220 (2021) - 2020
- [j1]Chen Wang, Chengyuan Deng, Suzhen Wang:
Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost. Pattern Recognit. Lett. 136: 190-197 (2020) - [c2]Chen Wang, Chengyuan Deng:
On the Global Self-attention Mechanism for Graph Convolutional Networks. ICPR 2020: 8531-8538 - [c1]Chen Wang, Chengyuan Deng, Vladimir Ivanov:
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations. IJCNN 2020: 1-9 - [i3]Chen Wang, Chengyuan Deng:
On the Global Self-attention Mechanism for Graph Convolutional Networks. CoRR abs/2010.10711 (2020)
2010 – 2019
- 2019
- [i2]Chen Wang, Chengyuan Deng, Suzhen Wang:
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost. CoRR abs/1908.01672 (2019) - [i1]Chen Wang, Chengyuan Deng, Vladimir Ivanov:
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations. CoRR abs/1911.11984 (2019)
Coauthor Index
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