About Me

I am currently a Lecturer and Master’s supervisor at the School of Computer and Communication Engineering, Northeastern University at Qinhuangdao. I received my Ph.D. degree in Cyberspace Security from the School of Cyber Science and Engineering, Wuhan University, in December 2023, under the supervision of Prof. Xiaohui Cui.

My research interests include machine learning, data mining, generative models, imbalanced learning, object detection and segmentation, and multimodal learning. My current research focuses on leveraging deep generative models to address data imbalance and small-sample challenges in machine learning, thereby improving the performance of downstream classification and segmentation tasks.

Since 2025, I have been recruiting Master’s and undergraduate students, and I welcome motivated students to join my group.

News

• [Sep. 2025] Our paper “Balancing Act: MDGAN for Imbalanced Tabular Data Synthesis” has been accepted for publication in IEEE TKDE.
• [Aug. 2025] Our paper “Federated Broad Learning for Unmanned Aerial Vehicle Clusters in Water Monitoring” has been accepted for publication in IEEE IoT.
• [May. 2025] Our paper “ELSP-MA: An Efficient Lightweight and Security-enhanced Privacy-preserving Message Authentication Scheme for VANETs” has been accepted for publication in IEEE TVT.
• [Apr. 2025] Our paper “Improving Imbalanced Medical Image Classification through GAN-Based Data Augmentation Methods” has been accepted for publication in Pattern Recognition.
• [Mar. 2025] Our paper “Improving Infrared Small Target Detection with GAN-Driven Data Augmentation” has been accepted for publication in IEEE TMM.
• [Mar. 2025] Our paper “LogiCoTab: Controllable Tabular Data Synthesis with Logical Relationships Awareness” has been accepted for publication in IEEE ICME.
• [Jan. 2025] Our paper “Multi-Time-Scale with Clockwork Recurrent Neural Network Modeling for Sequential Recommendation” has been accepted for publication in The Journal of Supercomputing.
• [Dec. 2024] Our paper “BDGAN: Boundary and Diversity-aware Generative Adversarial Network for Imbalanced Medical Image Augmentation” has been accepted for publication in IEEE ICASSP.
• [Oct. 2024] I serve as a master's supervisor.
• [Oct. 2024] Our paper “DM-GAN: A Data Augmentation-Based Approach for Imbalanced Medical Image Classification” has been accepted for publication in IEEE BIBM.
• [Oct. 2024] Our paper “ASM-GAN: Arbitrary Object Shape Styles Manipulation in Synthesized Images for GANs” has been accepted for publication in IEEE TIM.
• [Oct. 2024] Our paper “Infrared Small Target Detection Improvement via Hybrid Data Augmentation Using Diffusion Models and GAN” has been accepted for publication in IEEE TAES.
• [Aug. 2024] Our paper “Leveraging GANs data augmentation for imbalanced medical image classification” has been accepted for publication in Applied Soft Computing.
• [May. 2024] I was awarded the Outstanding Graduate honor by Wuhan University.
• [Apr. 2024] Our paper “LEGAN: Addressing intraclass imbalance in GAN-based medical image augmentation for improved imbalanced data classification” has been accepted for publication in IEEE TIM.
• [Mar. 2024] Our paper “Synthetic Data Augmentation for Infrared Small Target Detection via Exploring Frequency Components and Targets Prior” has been accepted for publication in IEEE ICME.
• [Mar. 2024] Our paper “Multimodal dynamic graph convolutional network for crowdfunding success prediction” has been accepted for publication in Applied Soft Computing.
• [Jan. 2024] I officially joined the School of Computer and Communication Engineering, Northeastern University at Qinhuangdao.
• [Nov. 2023] Our paper “TMG-GAN: Generative Adversarial Networks-Based Imbalanced Learning for Network Intrusion Detection” has been accepted for publication in IEEE TIFS.
• [Oct. 2023] Our paper “VGAN-BL: Imbalanced Data Classification Based on Generative Adversarial Network and Biased Loss” has been accepted for publication in Neural Computing and Applications.
• [Jun. 2023] Our paper “B-DSPA: a blockchain-based dynamically scalable privacy-preserving authentication scheme in vehicular ad hoc networks” has been accepted for publication in IEEE IoT.
• [Feb. 2023] Our paper “Hierarchical Transformer for Multi-Label Trailer Genre Classification” has been accepted for publication in IEEE ICASSP.
• [Feb. 2023] Our paper “RVGAN-TL: A generative adversarial networks and transfer learning-based hybrid approach for imbalanced data classification” has been accepted for publication in Information Sciences.
• [Dec. 2022] Our paper “RGAN-EL: A GAN and ensemble learning-based hybrid approach for imbalanced data classification” has been accepted for publication in Information Processing & Management.
• [Feb. 2022] Our paper “Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection” has been accepted for publication in Future Generation Computer Systems.