Jie Zhang

According to our database, Jie Zhang authored at least 26 papers between 2006 and 2024.

Collaborative distances:

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

2024

A Transformative Topological Representation for Link Modeling, Prediction and Cross-Domain Network Analysis.

Kai Zhang, Junchen Shen, Gaoqi He, Yu Sun, Haibin Ling, Hongyuan Zha, Honglin Li, Jie Zhang

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

2023

Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes.

Hengyuan Ma, Yang Qi, Pulin Gong, Jie Zhang, Wenlian Lu, Jianfeng Feng

Neural Comput., November, 2023

Synchronization of machine learning oscillators in complex networks.

Tongfeng Weng, Xiaolu Chen, Zhuoming Ren, Huijie Yang, Jie Zhang, Michael Small

Inf. Sci., June, 2023

Fast Convolutional Factorization Machine With Enhanced Robustness.

Tianyi Gu, Kaiwen Huang, Jie Zhang, Kai Zhang, Ping Li

IEEE Trans. Knowl. Data Eng., March, 2023

2022

Node Embedding and Classification with Adaptive Structural Fingerprint.

Yaokang Zhu, Jun Wang, Jie Zhang, Kai Zhang

Neurocomputing, 2022

Modeling chaotic systems: Dynamical equations vs machine learning approach.

Tongfeng Weng, Huijie Yang, Jie Zhang, Michael Small

Commun. Nonlinear Sci. Numer. Simul., 2022

Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification.

Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Representing complex networks without connectivity via spectrum series.

Tongfeng Weng, Haiying Wang, Huijie Yang, Changgui Gu, Jie Zhang, Michael Small

Inf. Sci., 2021

2020

Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification.

Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang, Hongyuan Zha

CoRR, 2020

Adaptive Structural Fingerprints for Graph Attention Networks.

Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Predator-prey games on complex networks.

Tongfeng Weng, Huijie Yang, Changgui Gu, Jie Zhang, Pan Hui, Michael Small

Commun. Nonlinear Sci. Numer. Simul., 2019

Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results.

Zhaowen Liu, Edmund T. Rolls, Zhi Liu, Kai Zhang, Ming Yang, Jingnan Du, Weikang Gong, Wei Cheng, Fei Dai, He Wang, Kâmil Ugurbil, Jie Zhang, Jianfeng Feng

Bioinform., 2019

2018

Neural and genetic determinants of creativity.

Zhaowen Liu, Jie Zhang, Xiaohua Xie, Edmund T. Rolls, Jiangzhou Sun, Kai Zhang, Zeyu Jiao, Qunlin Chen, Junying Zhang, Jiang Qiu, Jianfeng Feng

NeuroImage, 2018

2017

Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis.

Wei Cheng, Edmund T. Rolls, Jie Zhang, Wenbo Sheng, Liang Ma, Lin Wan, Qiang Luo, Jianfeng Feng

NeuroImage, 2017

Partial cover time that is sublinear in the number of targets on complex networks: a universal law.

Tongfeng Weng, Jie Zhang, Michael Small, Farshid Hassani Bijarbooneh, Pan Hui

CoRR, 2017

Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling.

Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling.

Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye

CoRR, 2016

Navigation by anomalous random walks on complex networks.

Tongfeng Weng, Jie Zhang, Moein Khajehnejad, Michael Small, Rui Zheng, Pan Hui

CoRR, 2016

2015

From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding.

Kai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Guofei Jiang, Jie Zhang

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2011

Optimizing and controlling functions of complex networks by manipulating rich-club connections

Xiaoke Xu, Jie Zhang, Ping Li, Michael Small

CoRR, 2011

2010

Rhythmic Dynamics and Synchronization via Dimensionality Reduction: Application to Human Gait.

Jie Zhang, Kai Zhang, Jianfeng Feng, Michael Small

PLoS Comput. Biol., 2010

Rich-club connectivity dominates assortativity and transitivity of complex networks

Xiaoke Xu, Jie Zhang, Michael Small

CoRR, 2010

2009

Transforming Time Series into Complex Networks.

Michael Small, Jie Zhang, Xiaoke Xu

Proceedings of the Complex Sciences, 2009

2008

Extension of the local subspace method to enhancement of speech with colored noise.

Junfeng Sun, Jie Zhang, Michael Small

Signal Process., 2008

Generating an Assortative Network with a Given Degree Distribution.

Jin Zhou, Xiaoke Xu, Jie Zhang, Junfeng Sun, Michael Small, Junan Lu

Int. J. Bifurc. Chaos, 2008

2006

Chaos inducement and Enhancement in Two Particular Nonlinear Maps Using Weak Periodic/quasiperiodic Perturbations.

Jie Zhang, Michael Small, Kai Zhang

Int. J. Bifurc. Chaos, 2006