Chengyuan Deng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Data Representations

Top Venues

Publications

Greg Bodwin, Chengyuan Deng, Jie Gao, Gary Hoppenworth, Jalaj Upadhyay, Chen Wang
The Discrepancy of Shortest Paths. ICALP (2024)
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 (2024)
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 (2024)
Greg Bodwin, Chengyuan Deng, Jie Gao, Gary Hoppenworth, Jalaj Upadhyay, Chen Wang
The Discrepancy of Shortest Paths. CoRR (2024)
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 (2024)
Vikrant Ashvinkumar, Aaron Bernstein, Chengyuan Deng, Jie Gao, Nicole Wein
Low Sensitivity Hopsets. CoRR (2024)
Chengyuan Deng, Surya Teja Gavva, Karthik C. S., Parth Patel, Adarsh Srinivasan
Impossibility of Depth Reduction in Explainable Clustering. CoRR (2023)
Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang
Differentially Private Range Query on Shortest Paths. WADS (2023)
Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin
: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties. NeurIPS (2023)
Shihang Feng, Hanchen Wang, Chengyuan Deng, Yinan Feng, Yanhua Liu, Min Zhu, Peng Jin, Yinpeng Chen, Youzuo Lin
: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties. CoRR (2023)
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)
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 (2023)
Vikrant Ashvinkumar, Sepehr Assadi, Chengyuan Deng, Jie Gao, Chen Wang
Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance. CoRR (2023)
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)
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 (2021)
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 (2021)
Chengyuan Deng, Youzuo Lin
On the Robustness and Generalization of Deep Learning Driven Full Waveform Inversion. CoRR (2021)
Chen Wang, Chengyuan Deng, Vladimir Ivanov
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations. IJCNN (2020)
Chen Wang, Chengyuan Deng, Suzhen Wang
Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost. Pattern Recognit. Lett. 136 (2020)
Chen Wang, Chengyuan Deng
On the Global Self-attention Mechanism for Graph Convolutional Networks. ICPR (2020)
Chen Wang, Chengyuan Deng
On the Global Self-attention Mechanism for Graph Convolutional Networks. CoRR (2020)
Chen Wang, Chengyuan Deng, Suzhen Wang
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost. CoRR (2019)
Chen Wang, Chengyuan Deng, Vladimir Ivanov
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations. CoRR (2019)