Tian Zheng

Orcid: 0000-0002-6164-7778

According to our database1, Tian Zheng authored at least 66 papers between 2005 and 2024.

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Bibliography

2024
Online estimation and community detection of network point processes for event streams.
Stat. Comput., February, 2024

Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey.
CoRR, 2024

FastFold: Optimizing AlphaFold Training and Inference on GPU Clusters.
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

2023
Modeling and identification for practical nonlinear process using neural fuzzy network-based Hammerstein system.
Trans. Inst. Meas. Control, 2023

Prediction scoring of data-driven discoveries for reproducible research.
Stat. Comput., 2023

An Early Evaluation of GPT-4V(ision).
CoRR, 2023

A Deep Reinforcement Learning Based UAV Trajectory Planning Method For Integrated Sensing And Communications Networks.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023


Wireless Mesh System Design for Photovoltaic Power Station Based on LoRa.
Proceedings of the International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023

Research on the Method of Guiding Network Public Opinion on Public Health Emergencies Based on Hybrid Recommendation Algorithm : Taking Microblog Rumors as an Exmaple.
Proceedings of the 6th International Conference on Data Science and Information Technology, 2023

Wasserstein Distributional Learning via Majorization-Minimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Log-Rank-Type Tests for Equality of Distributions in High-Dimensional Spaces.
J. Comput. Graph. Stat., October, 2022

BuildingFusion: Semantic-Aware Structural Building-Scale 3D Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Mapping data ethics curricula.
J. Inf. Commun. Ethics Soc., 2022

Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification.
IEEE CAA J. Autom. Sinica, 2022

A structural variation genotyping algorithm enhanced by CNV quantitative transfer.
Frontiers Comput. Sci., 2022

A Soft RISC-V Processor IP with High-performance and Low-resource consumption for FPGA.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Automatic Recommendation of a Distance Measure for Clustering Algorithms.
ACM Trans. Knowl. Discov. Data, 2021

Next waves in veridical network embedding.
Stat. Anal. Data Min., 2021

ppdiag: Diagnostic Tools for Temporal Point Processes.
J. Open Source Softw., 2021

Similarity-based health risk prediction using Domain Fusion and electronic health records data.
J. Biomed. Informatics, 2021

Toward a Taxonomy of Trust for Probabilistic Machine Learning.
CoRR, 2021

Scalable Community Detection in Massive Networks Using Aggregated Relational Data.
CoRR, 2021

Artificial Perceptual Learning: Image Categorization with Weak Supervision.
CoRR, 2021

Weakly Supervised Learning Creates a Fusion of Modeling Cultures.
CoRR, 2021

2020
Live Semantic 3D Perception for Immersive Augmented Reality.
IEEE Trans. Vis. Comput. Graph., 2020

Online Community Detection for Event Streams on Networks.
CoRR, 2020

SETE: Sequence-based Ensemble learning approach for TCR Epitope binding prediction.
Comput. Biol. Chem., 2020

OccuSeg: Occupancy-Aware 3D Instance Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Spectral Clustering for Directed Networks.
Proceedings of the Complex Networks & Their Applications IX, 2020

2019
Image fusion of fault detection in power system based on deep learning.
Clust. Comput., 2019

A Greedy Algorithm for Detecting Mutually Exclusive Patterns in Cancer Mutation Data.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

2018
Feature subspace learning based on local point processes patterns.
Stat. Anal. Data Min., 2018

CIGenotyper: A Machine Learning Approach for Genotyping Complex Indel Calls.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Estimating Personal Network Size with Non-random Mixing via Latent Kernels.
Proceedings of the Complex Networks and Their Applications VII, 2018

2017
Stabilized Sparse Online Learning for Sparse Data.
J. Mach. Learn. Res., 2017

An Expanded Association Approach for Rare Germline Variants with Copy-Number Alternation.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Accurately Estimating Tumor Purity of Samples with High Degree of Heterogeneity from Cancer Sequencing Data.
Proceedings of the Intelligent Computing Theories and Application, 2017

A crowdsourcing method for correcting sequencing errors for the third-generation sequencing data.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

An Efficient Algorithm for Identifying Genomic Structural Inversion with Wide-spectrum of Length.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016
Boosted sparse nonlinear distance metric learning.
Stat. Anal. Data Min., 2016

Estimating exponential random graph models using sampled network data via graphon.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
GLMLE: graph-limit enabled fast computation for fitting exponential random graph models to large social networks.
Soc. Netw. Anal. Min., 2015

Simulation-efficient shortest probability intervals.
Stat. Comput., 2015

Latent quality models for document networks.
CoRR, 2015

Boosted Sparse Non-linear Distance Metric Learning.
CoRR, 2015

Two Screening Methods for Genetic Association Study with Application to Psoriasis Microarray Data Sets.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2013
Estimation of exponential random graph models for large social networks via graph limits.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Node performance model of wireless sensor networks.
Proceedings of the 9th Asian Control Conference, 2013

2012
Interaction-based feature selection and classification for high-dimensional biological data.
Bioinform., 2012

2011
Discovering Influential Variables: A General Computer Intensive Method for Common Genetic Disorders.
Proceedings of the Handbook of Statistical Bioinformatics., 2011

2009
Inferential Clustering Approach for Microarray Experiments with Replicated Measurements.
IEEE ACM Trans. Comput. Biol. Bioinform., 2009

2008
DACE: Differential Allelic Co-Expression test for estimating regulatory associations of SNP and biological pathway.
Int. J. Funct. Informatics Pers. Medicine, 2008

Identification of gene interactions associated with disease from gene expression data using synergy networks.
BMC Syst. Biol., 2008

2007
Optimum cut-based clustering.
Signal Process., 2007

Discriminant Analysis Using Multigene Expression Profiles in Classification of Breast Cancer.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

Studying Co-Regulation and Inter-Regulation of Genes via eQTL Mapping.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

Identifying Genomic Regulators of Set-Wise Co-Expression.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
A Multiscale Self-growing Probabilistic Decision-Based Neural Network for Segmentation of SAR Imagery.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Wavelet Energy Signature: Comparison and Analysis.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Robust ICA Neural Network and Application on Synthetic Aperture Radar (SAR) Image Analysis.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Speckle Reduction of Polarimetric SAR Images Based on Neural ICA.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

A New Method for Compression of SAR Imagery Based on MARMA Model.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

2005
The Projection Pursuit Learning Network for Nonlinear Time Series Modeling and Forecasting.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Segmentation of SAR Image Using Mixture Multiscale ARMA Network.
Proceedings of the Advances in Natural Computation, First International Conference, 2005


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