Jialing Zhang

According to our database, Jialing Zhang authored at least 40 papers between 2017 and 2026.

Collaborative distances:

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

2026

Towards Automated Kernel Generation in the Era of LLMs.

Yang Yu, Peiyu Zang, Chi Hsu Tsai, Haiming Wu, Yixin Shen, Jialing Zhang, Haoyu Wang, Zhiyou Xiao, Jingze Shi, Yuyu Luo, Wentao Zhang, Chunlei Men, Guang Liu, Yonghua Lin

CoRR, January, 2026

2025

Saying the Unsaid: Revealing the Hidden Language of Multimodal Systems Through Telephone Games.

Juntu Zhao, Jialing Zhang, Chongxuan Li, Dequan Wang

CoRR, November, 2025

PersonaEval: Are LLM Evaluators Human Enough to Judge Role-Play?

Lingfeng Zhou, Jialing Zhang, Jin Gao, Mohan Jiang, Dequan Wang

CoRR, August, 2025

Supporting Data from: Resolution-Adaptive Orbitrap Mass Spectrometry Data Binning for Multi-Platform Untargeted Metabolomics Data Integration.

Hiu-Lok Ngan, Jialing Zhang, Kin Leung Kwan, Jacinth Wing-Sum Cheu, Li Zhong, Yike Guo, Xian Yang, Carmen Chak Lui Wong, Hong Yan, Zongwei Cai

Dataset, August, 2025

GPU-Accelerated Optimization of Discrete Ricci Flow for High-Resolution Triangular Meshes.

Zhiheng Wei, Kun Qian, Yinghua Li, Siyuan Li, Jialing Zhang, Junrong Song, Ming Yang, Ming Ni

IET Image Process., 2025

Harnack type inequality and Liouville theorem for subcritical fully nonlinear equations.

Wei Zhang, Jialing Zhang

Appl. Math. Lett., 2025

Supporting Data from: Resolution-Adaptive Binning Enhances Machine Learning Modeling by Interbatch and Multiplatform Orbitrap-Based Shotgun Mass Spectrometry Data Integration.

Hiu-Lok Ngan, Jialing Zhang, Kin Leung Kwan, Jacinth Wing-Sum Cheu, Li Zhong, Yike Guo, Xian Yang, Carmen Chak Lui Wong, Hong Yan, Zongwei Cai

Dataset, 2025

Supporting Data from: Physically Constrained Mass Spectrometry Data Binning for Multi-Platform Untargeted Metabolomics Data Integration.

Hiu-Lok Ngan, Jialing Zhang, Kin Leung Kwan, Jacinth Wing-Sum Cheu, Li Zhong, Yike Guo, Xian Yang, Carmen Chak Lui Wong, Hong Yan, Zongwei Cai

Dataset, 2025

Supporting Data from: Physically Constrained Mass Spectrometry Data Binning on Multi-Platform Untargeted Metabolomics Data Reveals Generic Biomarkers for Hepatocellular Carcinoma.

Hiu-Lok Ngan, Jialing Zhang, Kin Leung Kwan, Jacinth Wing-Sum Cheu, Li Zhong, Yike Guo, Xian Yang, Carmen Chak Lui Wong, Hong Yan, Zongwei Cai

Dataset, 2025

2024

Biobjective optimization for railway alignment fine-grained designs with parallel existing railways.

Yan Gao, Tianlong Zhang, Caiyiyi Zhu, Shusheng Yang, Paul M. Schonfeld, Kai Zou, Jialing Zhang, Ying Zhu, Ping Wang, Qing He

Comput. Aided Civ. Infrastructure Eng., February, 2024

Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data.

Shuhao Gu, Jialing Zhang, Siyuan Zhou, Kevin Yu, Zhaohu Xing, Liangdong Wang, Zhou Cao, Jintao Jia, Zhuoyi Zhang, Yixuan Wang, Zhenchong Hu, Bo-Wen Zhang, Jijie Li, Dong Liang, Yingli Zhao, Yulong Ao, Yaoqi Liu, Fangxiang Feng, Guang Liu

CoRR, 2024

Blow-up at infinity of solutions to a class of pseudo-parabolic equations with logarithmic nonlinearity and singular potential.

Wei Zhang, Jialing Zhang

Appl. Math. Lett., 2024

Solving Inverse Problem with Unspecified Forward Operator Using Diffusion Models.

Jialing Zhang, Chongxuan Li, Dequan Wang

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Normal mapping and normal transfer for geometric dynamic models.

Kun Qian, Yinghua Li, Hao Xu, Xinggui Xu, Jialing Zhang, Keming Dong, Hong Li

Multim. Tools Appl., 2023

Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption.

Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

One-to-many comparative summarization for patents.

Zheng Liu, Jialing Zhang, Tingting Qin, Yanwen Qu, Yun Li

Scientometrics, 2022

Tighter monogamy relations in multi-qubit systems.

Yudie Gu, Yanmin Yang, Jialing Zhang, Wei Chen

Quantum Inf. Process., 2022

Towards better time series prediction with model-independent, low-dispersion clusters of contextual subsequence embeddings.

Zheng Liu, Jialing Zhang, Yun Li

Knowl. Based Syst., 2022

Back to the Source: Diffusion-Driven Test-Time Adaptation.

Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang

CoRR, 2022

2021

A Novel Transfer Dictionary Learning Strategy for Rolling Bearing Fault Identification With a Mixed Noise Model.

Jialing Zhang, Jimei Wu

IEEE Trans. Instrum. Meas., 2021

Extracting depressive symptoms and their associations from an online depression community.

Xiaoxu Yao, Guang Yu, Jingyun Tang, Jialing Zhang

Comput. Hum. Behav., 2021

DPZ: Improving Lossy Compression Ratio with Information Retrieval on Scientific Data.

Jialing Zhang, Jiaxi Chen, Xiaoyan Zhuo, Aekyeung Moon, Seung Woo Son

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Cascaded Dimension Reduction for Effective Anomaly Detection.

Xiaoyan Zhuo, Aekyeung Moon, Jialing Zhang, Seung Woo Son

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Loss Attenuation for Time Series Prediction Respecting Categories of Values.

Jialing Zhang, Zheng Liu, Yanwen Qu, Yun Li

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020

Dictionary Learning via a Mixed Noise Model for Sparse Representation Classification of Rolling Bearings.

Jialing Zhang, Jimei Wu, Bingbing Hu

IEEE Access, 2020

Bit-Error Aware Quantization for DCT-based Lossy Compression.

Jialing Zhang, Jiaxi Chen, Aekyeung Moon, Xiaoyan Zhuo, Seung Woo Son

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Anomaly Detection in Edge Nodes using Sparsity Profile.

Aekyeung Moon, Xiaoyan Zhuo, Jialing Zhang, Seung Woo Son, Yun Jeong Song

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Correction to: MISC: missing imputation for single-cell RNA sequencing data.

Mary Qu Yang, Sherman Morton Weissman, William Yang, Jialing Zhang, Allon Canaan, Renchu Guan

BMC Syst. Biol., 2019

Efficient Encoding and Reconstruction of HPC Datasets for Checkpoint/Restart.

Jialing Zhang, Xiaoyan Zhuo, Aekyeung Moon, Hang Liu, Seung Woo Son

Proceedings of the 35th Symposium on Mass Storage Systems and Technologies, 2019

Towards Improving Rate-Distortion Performance of Transform-Based Lossy Compression for HPC Datasets.

Jialing Zhang, Aekyeung Moon, Xiaoyan Zhuo, Seung Woo Son

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

AD²: Improving Quality of IoT Data through Compressive Anomaly Detection.

Aekyeung Moon, Xiaoyan Zhuo, Jialing Zhang, Seung Woo Son

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A measure-driven method for normal mapping and normal map design of 3D models.

Kun Qian, Yinghua Li, Kehua Su, Jialing Zhang

Multim. Tools Appl., 2018

A 3D face registration algorithm based on conformal mapping.

Kun Qian, Kehua Su, Jialing Zhang, Yinghua Li

Concurr. Comput. Pract. Exp., 2018

Evaluating fidelity of lossy compression on spatiotemporal data from an IoT enabled smart farm.

Aekyeung Moon, Jaeyoung Kim, Jialing Zhang, Seung Woo Son

Comput. Electron. Agric., 2018

MISC: missing imputation for single-cell RNA sequencing data.

Mary Qu Yang, Sherman Morton Weissman, William Yang, Jialing Zhang, Allon Canaan, Renchu Guan

BMC Syst. Biol., 2018

The computation of conformal map by harmonic diffeomorphisms between surfaces.

Jialing Zhang, Kun Qian

Appl. Math. Comput., 2018

2017

Lossy compression on IoT big data by exploiting spatiotemporal correlation.

Aekyeung Moon, Jaeyoung Kim, Jialing Zhang, Seung Woo Son

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Network intrusion detection using word embeddings.

Xiaoyan Zhuo, Jialing Zhang, Seung Woo Son

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Understanding the impact of lossy compressions on IoT smart farm analytics.

Aekyeung Moon, Jaeyoung Kim, Jialing Zhang, Hang Liu, Seung Woo Son

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Invited talk: Developing deep multi-source intelligent learning that facilitates the advancement of single cell genomics research.

William Yang, Sherman Morton Weissman, Renchu Guan, Jialing Zhang, Allon Canaan, Mary Qu Yang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017