Hongliang Zhang (张宏亮)


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Hongliang Zhang

Hongliang Zhang

Ph.D. Student

Pattern Computing and Application Laboratory (PCA Lab), Nanjing University of Science and Technology (NJUST, 南京理工), China.

[Google Scholar, DBLP, ResearchGate]

E-mail: zhang1hongliang@{njust.edu.cn, gmail.com, 163.com}


Research Interests

  • Optimal Transport

  • Medical Image Analysis

  • Evolutionary Computation

  • Multi-objective optimization

  • Neural Combinatorial Optimization


News

  • Dec. 2024: One paper was accepted by AAAI 2025.

  • Jul. 2024: One paper was accepted by Pattern Recognition.


Education

  • Ph.D. Student, March 2021 -- Present
    PCA Lab, School of Computer Science and Technology, Nanjing University of Science and Technology (NJUST), China.
    Supervised by Prof. Jian Yang and Prof. Lei Luo.

  • M. Eng, September 2010 -- June 2013
    College of Information Engineering, Xiangtan University (XTU), China.
    Supervised by Prof. Ziqiang Li.

  • B. Eng, September 2006 -- June 2010
    College of Information Engineering, Xiangtan University (XTU), China.


Experience

  • Chief Information Officer, January 2019 -- March 2021
    Blooms Hangwen Railway Co. LTD., China.

  • Visiting Scholar, January 2018 -- December 2019
    Medical Data Mining and Computational Intelligence (MDM&CI) Lab, Wenzhou University (WZU), China.
    Supervised by Prof. Huiling Chen.

  • Lecturer, August 2013 -- December 2018
    Center for Information Technology, Wenzhou City University (WZCU), China.


Highly Selected Publications

Conference Papers (* indicates contributed equally, ✉ indicates corresponding authors)

  1. Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction.
    Hongliang Zhang, Shuo Chen, Lei Luo, Jian Yang.
    AAAI Conference on Artificial Intelligence (AAAI), 2025.

Journal Papers (* indicates contributed equally, ✉ indicates corresponding authors)

  1. Learning Multi-scale Spatial-frequency Features for Image Denoising.
    Xu Zhao, Chen Zhao, Xiantao Hu, Hongliang Zhang, Ying Tai, Jian Yang.
    Pattern Recognition (PR), 2025.

  2. Few-Shot Learning with Long-Tailed Labels.
    Hongliang Zhang, Shuo Chen, Lei Luo, Jian Yang.
    Pattern Recognition (PR), 2024.

  3. Unsupervised domain adaptation for COVID-19 classification based on balanced slice Wasserstein distance.
    Jiawei Gu, Xuan Qian, Qian Zhang, Hongliang Zhang ✉, Fang Wu.
    Computers in Biology and Medicine (CIBM), 2023.

  4. A Multi-strategy Enhanced Salp Swarm Algorithm for Global Optimization.
    Hongliang Zhang, Zhennao Cai, Xiaojia Ye, Mingjing Wang, Fangjun Kuang, Huiling Chen, Chengye Li, Yuping Li.
    Engineering with Computers (EWCO), 2022.

  5. Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems.
    Hongliang Zhang, Tong Liu, Xiaojia Ye, Ali Asghar Heidari, Guoxi Liang, Huiling Chen, Zhifang Pan.
    Engineering with Computers (EWCO), 2022.

  6. Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm.
    Jianfu Xia, Daqing Yang, Hong Zhou, Yuyan Chen, Hongliang Zhang, Tong Liu, Ali Asghar Heidari, Huiling Chen, Zhifang Pan.
    Computers in Biology and Medicine (CIBM), 2022.

  7. Adaptive barebones salp swarm algorithm with quasi-oppositional learning for medical diagnosis systems: A comprehensive analysis.
    Jianfu Xia, Hongliang Zhang, Rizeng Li, Zhiyan Wang, Zhennao Cai, Zhiyang Gu, Huiling Chen, Zhifang Pan.
    Journal of Bionic Engineering (JBE), 2022.

  8. Ensemble Mutation-driven Salp Swarm Algorithm with Restart Mechanism: Framework and Fundamental Analysis.
    Hongliang Zhang, Zhiyan Wang, Weibin Chen, Ali Asghar Heidari, Mingjing Wang, Xuehua Zhao, Guoxi Liang, Huiling Chen, Xin Zhang.
    Expert Systems with Applications (ESWA), 2021.

  9. Generalized oppositional moth flame optimization with crossover strategy: an approach for medical diagnosis.
    Jianfu Xia, Hongliang Zhang, Rizeng Li, Huiling Chen, Hamza Turabieh, Majdi Mafarja, Zhifang Pan.
    Journal of Bionic Engineering (JBE), 2021.

  10. Advanced Orthogonal Moth Flame Optimization with Broyden-Fletcher-Goldfarb-Shanno Algorithm: Framework and Real-world Problems.
    Hongliang Zhang, Rong Li, Zhennao Cai, Zhiyang Gu, Ali Asghar Heidari, Mingjing Wang, Huiling Chen, Mayun Chen.
    Expert Systems with Applications (ESWA), 2020.

  11. Orthogonal Nelder-Mead Moth Flame Method for Parameters Identification of Photovoltaic Modules.
    Hongliang Zhang, Ali Asghar Heidari, Mingjing Wang, Lejun Zhang, Huiling Chen, Chengye Li.
    Energy Conversion and Management (ECM), 2020.


Professional Activities

Conference Reviewer

  • AAAI 2026

  • ICLR 2025

  • IJCAI 2025

  • MICCAI 2025

  • ECAI 2025

Journal Reviewer

  • Neural Networks (NN)

  • Information Sciences (INS)

  • Swarm and Evolutionary Computation (SWECO)

  • Expert Systems with Applications (ESWA)

  • Knowledge-Based Systems (KBS)

  • Journal of Biomedical and Health Informatics (JBHI)