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 (BIBM, 2017)

Understanding the impact of lossy compressions on IoT smart farm analytics. - Aekyeung Moon; Jaeyoung Kim; Jialing Zhang; Hang Liu; Seung Woo Son 001 (IEEE BigData, 2017)

Network intrusion detection using word embeddings. - Xiaoyan Zhuo; Jialing Zhang; Seung Woo Son 001 (IEEE BigData, 2017)

Lossy compression on IoT big data by exploiting spatiotemporal correlation. - Aekyeung Moon; Jaeyoung Kim; Jialing Zhang; Seung Woo Son 001 (HPEC, 2017)

The computation of conformal map by harmonic diffeomorphisms between surfaces. - Jialing Zhang; Kun Qian 013 (Appl. Math. Comput., 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)

Evaluating fidelity of lossy compression on spatiotemporal data from an IoT enabled smart farm. - Aekyeung Moon; Jaeyoung Kim; Jialing Zhang; Seung Woo Son 001 (Comput. Electron. Agric., 2018)

A 3D face registration algorithm based on conformal mapping. - Kun Qian 013; Kehua Su; Jialing Zhang; Yinghua Li (Concurr. Comput. Pract. Exp., 2018)

A measure-driven method for normal mapping and normal map design of 3D models. - Kun Qian 013; Yinghua Li; Kehua Su; Jialing Zhang (Multim. Tools Appl., 2018)

AD2: Improving Quality of IoT Data through Compressive Anomaly Detection. - Aekyeung Moon; Xiaoyan Zhuo; Jialing Zhang; Seung Woo Son 001 (IEEE BigData, 2019)

Towards Improving Rate-Distortion Performance of Transform-Based Lossy Compression for HPC Datasets. - Jialing Zhang; Aekyeung Moon; Xiaoyan Zhuo; Seung Woo Son 001 (HPEC, 2019)

Efficient Encoding and Reconstruction of HPC Datasets for Checkpoint/Restart. - Jialing Zhang; Xiaoyan Zhuo; Aekyeung Moon; Hang Liu; Seung Woo Son 001 (MSST, 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)

Anomaly Detection in Edge Nodes using Sparsity Profile. - Aekyeung Moon; Xiaoyan Zhuo; Jialing Zhang; Seung Woo Son 001; Yun Jeong Song (IEEE BigData, 2020)

Bit-Error Aware Quantization for DCT-based Lossy Compression. - Jialing Zhang; Jiaxi Chen; Aekyeung Moon; Xiaoyan Zhuo; Seung Woo Son 001 (HPEC, 2020)

Dictionary Learning via a Mixed Noise Model for Sparse Representation Classification of Rolling Bearings. - Jialing Zhang; Jimei Wu; Bingbing Hu (IEEE Access, 2020)

Loss Attenuation for Time Series Prediction Respecting Categories of Values. - Jialing Zhang; Zheng Liu; Yanwen Qu; Yun Li (APWeb/WAIM (1), 2021)

Cascaded Dimension Reduction for Effective Anomaly Detection. - Xiaoyan Zhuo; Aekyeung Moon; Jialing Zhang; Seung Woo Son 001 (IEEE BigData, 2021)

DPZ: Improving Lossy Compression Ratio with Information Retrieval on Scientific Data. - Jialing Zhang; Jiaxi Chen; Xiaoyan Zhuo; Aekyeung Moon; Seung Woo Son 001 (CLUSTER, 2021)

Extracting depressive symptoms and their associations from an online depression community. - Xiaoxu Yao; Guang Yu; Jingyun Tang; Jialing Zhang (Comput. Hum. Behav., 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)

Back to the Source: Diffusion-Driven Test-Time Adaptation. - Jin Gao; Jialing Zhang; Xihui Liu; Trevor Darrell; Evan Shelhamer; Dequan Wang (CoRR, 2022)

Towards better time series prediction with model-independent, low-dispersion clusters of contextual subsequence embeddings. - Zheng Liu 001; Jialing Zhang; Yun Li 009 (Knowl. Based Syst., 2022)

Tighter monogamy relations in multi-qubit systems. - Yudie Gu; Yanmin Yang; Jialing Zhang; Wei Chen (Quantum Inf. Process., 2022)

One-to-many comparative summarization for patents. - Zheng Liu 001; Jialing Zhang; Tingting Qin; Yanwen Qu; Yun Li 009 (Scientometrics, 2022)

Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. - Jin Gao; Jialing Zhang; Xihui Liu; Trevor Darrell; Evan Shelhamer; Dequan Wang (CVPR, 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)

Solving Inverse Problem with Unspecified Forward Operator Using Diffusion Models. - Jialing Zhang; Chongxuan Li; Dequan Wang (ECCV Workshops (9), 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)

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; et al. (CoRR, 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 003; Qing He (Comput. Aided Civ. Infrastructure Eng., 2024)

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 001; Carmen Chak Lui Wong; Hong Yan; Zongwei Cai (Zenodo, 2025)

Harnack type inequality and Liouville theorem for subcritical fully nonlinear equations. - Wei Zhang; Jialing Zhang (Appl. Math. Lett., 2025)

PersonaEval: Are LLM Evaluators Human Enough to Judge Role-Play? - Lingfeng Zhou; Jialing Zhang; Jin Gao; Mohan Jiang; Dequan Wang (CoRR, 2025)