CV

Education

• B.S. in University of Science and Technology of China, 2011
• Ph.D in Institute of Software, Chinese Academy of Sciences, 2017

Work experience

• July 2017: Lecturer
  • School of Computer Science and Technology, Anhui University
• January 2021: Associate Professor
  • School of Computer Science and Technology, Anhui University

Research Interests

• Machine learning
• Data mining
• Artificial Intelligence

Publications

Local and global discriminative learning for unsupervised feature selection

Convex batch mode active sampling via α-relative pearson divergence

An LLE based heterogeneous metric learning for cross-media retrieval

Robust multiple kernel k-means using l21-norm

Recovery of corrupted multiple kernels for clustering

Learning a robust consensus matrix for clustering ensemble via Kullback-Leibler divergence minimization

Experimental Design with Multiple Kernels

Incremental Multi-view Support Vector Machine

Incremental multi-view spectral clustering

Lightweight Outsourced Privacy-Preserving Heart Failure Prediction Based on GRU

Unsupervised feature selection for balanced clustering

Unsupervised Feature Selection with Adaptive Multiple Graph Learning

Self-paced Consensus Clustering with Bipartite Graph

Self-paced Clustering Ensemble

One-factor Cancellable Biometrics Verification Scheme (一种单因子的可撤销生物特征认证方法)

Tri-level Robust Clustering Ensemble with Multiple Graph Learning

Top-k Feature Selection Framework Using Robust 0-1 Integer Programming

Clustering Ensemble via Structured Hypergraph Learning

FRATCF:Feature-Residue Real-Time UAV Tracking Based on Automatic Spatio-Temporal Regularization Correlation Filter

Active Deep Image Clustering

Self-paced Adaptive Bipartite Graph Learning for Consensus Clustering

Medical Image Super-Resolution via Diagnosis-Guided Attention

Intensifying the Consistency of Pseudo Label Refinement for Unsupervised Domain Adaption Person Re-identification

Active Clustering Ensemble With Self-Paced Learning

Balanced Spectral Feature Selection

Learnable Graph Filter for Multi-view Clustering

A Light Causal Feature Selection Approach to High-Dimensional Data

Adaptive Consensus Clustering for Multiple K-means via Base Results Refining

Bi-level Ensemble Method for Unsupervised Feature Selection

Multi-view Outlier Detection via Graphs Denoising

Multiple Kernel Clustering with Local Kernel Reconstruction and Global Heat Diffusion

Fair Feature Selection: A Causal Perspective

A Node Classification-Based Multi-Objective Evolutionary Algorithm for Community Detection in Complex Networks

Multi-View Clustering Based on Adaptive Similarity Graph Joint Optimization (自适应相似图联合优化的多视图聚类)

Deep Self-paced Active Learning for Image Clustering

Jointly Learn the Base Clustering and Ensemble for Deep Image Clustering

Clustering Ensemble via Diffusion on Adaptive Multiplex

Active Deep Multi-view Clustering

Partial Clustering Ensemble

Feature Graph Augmented Network Representation for Community Detection

One-Stage Fair Multi-View Spectral Clustering

Fair Kernel K-Means: from Single Kernel to Multiple Kernel

Teaching

• Machine Learning
• Artificial Intelligence
• Matlab Programming
• Software Construction

Service and leadership

• Program Committee
  • IJCAI, AAAI, NeurIPS, ICML, ACM MM, ICLR, ECAI, ICME…
• Reviewer
  • IEEE TPAMI, IEEE TKDE, IEEE TNNLS, IEEE TCYB, IEEE TASE, Information Fusion…