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Zhang Jiang's research group

News

01 November 2021

Our new paper “MultiCapsNet: A General Framework for Data Integration and Interpretable Classification(2021)” has been accepted by Frontiers in Genetics, download it on KDD
01 June 2021

Our new paper “TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data(2021)” has been accepted by KDD, download it on KDD
01 April 2021

Our new paper “Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs” has been delivered online, download it on arxiv!
01 March 2021

Our new paper “Learning Universal Network Representation via Link Prediction by Graph Convolutional Neural Network” has been pubslished in “Journal of Social Computing”! view it online!
01 March 2021

Our new paper “Discovering latent node Information by graph attention network” has been pubslished in “Scientific Reports”! view it online!
01 February 2021

Our new paper “Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems” has been delivered online, download it on arxiv!
01 November 2020

Our new paper “An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data” has been pubslished in “Nature Machine Intelligence” View it Here!
01 October 2020

Our new paper “Using learning analytics to understand collective attention in language MOOCs” has been pubslished in “Computer Assisted Language Learning” View it Here!
01 April 2020

Our new paper “A Topological Analysis of Trade Distance: Evidence from the Gravity Model and Complex Flow Networks” has been accepted! view it online!
01 January 2020

Our new paper “Complex Network Classification with Convolutional Neural Network” has been accepted by the journal “Tsinghua Science and Technology”, view it here!
01 January 2020

Our new paper “Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network” has been delievered online, download it on arxiv!
01 October 2019

We have published the preview PDF version of our new paper in arxiv :Link Prediction via Graph Attention Network.
01 October 2019

We co-hosted the event: CCCN2019 Special Session for Graph Networks and Machine Learning with Swarma Club! The official site of the event is CCCN2019 Special Session
01 September 2019

We have published the preview version of our new paper in arxiv :Gumbel-softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs
Older news…

Research topics

Deep Learning based method for Network Reconstruction

We are trying to use a general, deep learning based method to reconstruct network structure and dynamics simultaneously.

Gumbel-softmax based optimization framework

We are trying to use Gumbel-softmax based framework to solve many discrete optimization problems, especially combinatorial optimization problems on graphs.

Survival analysis and enterprise financial distress analysis

We study to find the commom factors/indicatiors that lead a enterprise to success or to bankruptcy,to make predictions about these factors and to manage these factors properly.