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2020 – today
- 2024
[j15]Wei Zhang, Jialing Zhang:
Blow-up at infinity of solutions to a class of pseudo-parabolic equations with logarithmic nonlinearity and singular potential. Appl. Math. Lett. 155: 109119 (2024)- [j14]Yan Gao, Tianlong Zhang, Caiyiyi Zhu, Shusheng Yang, Paul M. Schonfeld, Kai Zou, Jialing Zhang, Ying Zhu, Ping Wang, Qing He:
Biobjective optimization for railway alignment fine-grained designs with parallel existing railways. Comput. Aided Civ. Infrastructure Eng. 39(3): 438-457 (2024) - 2023
- [j13]Kun Qian, Yinghua Li
, Hao Xu, Xinggui Xu, Jialing Zhang, Keming Dong, Hong Li:
Normal mapping and normal transfer for geometric dynamic models. Multim. Tools Appl. 82(19): 29077-29094 (2023) - [c13]Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang:
Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. CVPR 2023: 11786-11796 - 2022
- [j12]Zheng Liu, Jialing Zhang, Yun Li:
Towards better time series prediction with model-independent, low-dispersion clusters of contextual subsequence embeddings. Knowl. Based Syst. 235: 107641 (2022) - [j11]Yudie Gu, Yanmin Yang, Jialing Zhang, Wei Chen:
Tighter monogamy relations in multi-qubit systems. Quantum Inf. Process. 21(6): 224 (2022) - [j10]Zheng Liu, Jialing Zhang, Tingting Qin, Yanwen Qu, Yun Li:
One-to-many comparative summarization for patents. Scientometrics 127(4): 1969-1993 (2022) - [i1]Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang:
Back to the Source: Diffusion-Driven Test-Time Adaptation. CoRR abs/2207.03442 (2022) - 2021
- [j9]Xiaoxu Yao, Guang Yu, Jingyun Tang, Jialing Zhang:
Extracting depressive symptoms and their associations from an online depression community. Comput. Hum. Behav. 120: 106734 (2021) - [j8]Jialing Zhang, Jimei Wu:
A Novel Transfer Dictionary Learning Strategy for Rolling Bearing Fault Identification With a Mixed Noise Model. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [c12]Jialing Zhang, Zheng Liu, Yanwen Qu, Yun Li:
Loss Attenuation for Time Series Prediction Respecting Categories of Values. APWeb/WAIM (1) 2021: 465-479 - [c11]Xiaoyan Zhuo, Aekyeung Moon, Jialing Zhang, Seung Woo Son:
Cascaded Dimension Reduction for Effective Anomaly Detection. IEEE BigData 2021: 4480-4490 - [c10]Jialing Zhang, Jiaxi Chen, Xiaoyan Zhuo, Aekyeung Moon, Seung Woo Son:
DPZ: Improving Lossy Compression Ratio with Information Retrieval on Scientific Data. CLUSTER 2021: 320-331 - 2020
- [j7]Jialing Zhang, Jimei Wu, Bingbing Hu:
Dictionary Learning via a Mixed Noise Model for Sparse Representation Classification of Rolling Bearings. IEEE Access 8: 213416-213425 (2020) - [c9]Aekyeung Moon, Xiaoyan Zhuo, Jialing Zhang, Seung Woo Son, Yun Jeong Song:
Anomaly Detection in Edge Nodes using Sparsity Profile. IEEE BigData 2020: 1236-1245 - [c8]Jialing Zhang, Jiaxi Chen, Aekyeung Moon, Xiaoyan Zhuo, Seung Woo Son:
Bit-Error Aware Quantization for DCT-based Lossy Compression. HPEC 2020: 1-7
2010 – 2019
- 2019
- [j6]Mary Qu Yang, Sherman Morton Weissman, William Yang, Jialing Zhang, Allon Canaan, Renchu Guan:
Correction to: MISC: missing imputation for single-cell RNA sequencing data. BMC Syst. Biol. 13(1): 13:1 (2019) - [c7]Aekyeung Moon, Xiaoyan Zhuo, Jialing Zhang, Seung Woo Son:
AD2: Improving Quality of IoT Data through Compressive Anomaly Detection. IEEE BigData 2019: 1662-1668 - [c6]Jialing Zhang, Aekyeung Moon, Xiaoyan Zhuo, Seung Woo Son:
Towards Improving Rate-Distortion Performance of Transform-Based Lossy Compression for HPC Datasets. HPEC 2019: 1-7 - [c5]Jialing Zhang, Xiaoyan Zhuo, Aekyeung Moon, Hang Liu, Seung Woo Son:
Efficient Encoding and Reconstruction of HPC Datasets for Checkpoint/Restart. MSST 2019: 79-91 - 2018
- [j5]Jialing Zhang, Kun Qian:
The computation of conformal map by harmonic diffeomorphisms between surfaces. Appl. Math. Comput. 333: 536-546 (2018) - [j4]Mary Qu Yang, Sherman Morton Weissman, William Yang, Jialing Zhang, Allon Canaan, Renchu Guan:
MISC: missing imputation for single-cell RNA sequencing data. BMC Syst. Biol. 12(7): 55-63 (2018) - [j3]Aekyeung Moon, Jaeyoung Kim, Jialing Zhang, Seung Woo Son:
Evaluating fidelity of lossy compression on spatiotemporal data from an IoT enabled smart farm. Comput. Electron. Agric. 154: 304-313 (2018) - [j2]Kun Qian, Kehua Su, Jialing Zhang, Yinghua Li:
A 3D face registration algorithm based on conformal mapping. Concurr. Comput. Pract. Exp. 30(22) (2018) - [j1]Kun Qian, Yinghua Li, Kehua Su, Jialing Zhang:
A measure-driven method for normal mapping and normal map design of 3D models. Multim. Tools Appl. 77(24): 31969-31989 (2018) - 2017
- [c4]William Yang, Sherman Morton Weissman, Renchu Guan, Jialing Zhang, Allon Canaan, Mary Qu Yang:
Invited talk: Developing deep multi-source intelligent learning that facilitates the advancement of single cell genomics research. BIBM 2017: 750-753 - [c3]Aekyeung Moon, Jaeyoung Kim, Jialing Zhang, Hang Liu, Seung Woo Son:
Understanding the impact of lossy compressions on IoT smart farm analytics. IEEE BigData 2017: 4602-4611 - [c2]Xiaoyan Zhuo, Jialing Zhang, Seung Woo Son:
Network intrusion detection using word embeddings. IEEE BigData 2017: 4686-4695 - [c1]Aekyeung Moon, Jaeyoung Kim, Jialing Zhang, Seung Woo Son:
Lossy compression on IoT big data by exploiting spatiotemporal correlation. HPEC 2017: 1-7
Coauthor Index
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