Tong Zhang

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Tong Zhang

RELEASE TIME:2026-03-24 VIEWS：10

Name：Tong Zhang

Email：tony@scut.edu.cn

Address：B3-401, School of Computer Science and Engineering, South China University of Technology, Panyu District, Guangzhou, Guangdong, China.

Post code: 510006

Personal Profile

Dr. Tong Zhang is currently a professor, doctoral supervisor, and Associate Dean of the School of Computer Science and Engineering, South China University of Technology. He is the recipient of the National Natural Science Fund for Excellent Young Scholars and the Guangdong Natural Science Fund for Distinguished Young Scholars, and was listed among the 2024 world’s top 2% scientists. His research interests lie in the field of fundamental studies and practical applications of artificial intelligence, including affective computing and large language models. He has led over 20 projects, including projects funded by the National Natural Science Foundation of China or the Natural Science Foundation of Guangdong Province, and collaboration projects with enterprises. He has published over 180 academic papers, of which 10 are highly cited papers. He has also filed over 100 patents, including 5 PCT patents, with 48 patents granted. He is the Associate Editor of IEEE Transactions on Affective Computing, IEEE Transactions on Computational Social Systems, and Journal of Intelligent Manufacturing, all of which are JCR Q1 journals.

Dr. Zhang is the Deputy Director of the Computational Social and Social Intelligence Committee of the Chinese Association of Automation, and the Deputy Secretary-General of the Youth Working Committee. He is also the Deputy Director of the Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human, and the Deputy Director of the Guangdong Provincial Key Laboratory of Computational AI Models and Cognitive Intelligence. He has received the First Prize of the Science and Technology Progress Award of Guangdong Province, the 10th Wu Wenjun AI Outstanding Youth Award, the ACM Guangzhou Rising Star Award, and the Franklin V. Taylor Best Paper Award from the IEEE Systems, Man, and Cybernetics Society. He has also guided students to win five National Gold Awards in the finals of the China International College Students’ “Internet+” Innovation and Entrepreneurship Competition.

Social Appointments

Deputy Director, Guangdong Provincial Key Laboratory of Computational AI Models and Cognitive Intelligence

Deputy Director, Specialised Committee on Computational Society and Social Intelligence, Chinese Society of Automation (CSA)

Deputy Secretary General, IEEE TEMS Technical Committee on Smart Medical Digitalisation

IEEE Transactions on Computational Social System, Associate Editor

IEEE Transactions on Affective Computing, Associate Editor

Journal of Intelligent Manufacturing, Associate Editor

Chinese Society of Automation, Youth Working Committee, Deputy Secretary General

Deputy Secretary-General of neurobiological feedback therapy and intervention branch of the China Medical Rescue Association.

Member of Chinese Society of Artificial Intelligence, Intelligent Service Committee.

Program committee member and publishing chairman of several top international conferences, including IEEE SPAC, ICCSS, and ARM.

Education Experience

09/2011-04/2016 University of Macau, Software Engineering, PhD

09/2009 - 06/2011 University of Macau, Applied Mathematics, M.S.

09/2005-06/2009 Sun Yat-sen University, Software Engineering, B.S.

Employment Experience

11/2023-present South China University of Technology, School of Computer Science and Engineering, Associate Dean

09/2022-present South China University of Technology, School of Computer Science and Engineering, Professor

09/2020 - 08/2022 South China University of Technology, School of Computer Science and Engineering, Associate Professor

02/2019 - 08/2020 South China University of Technology, School of Computer Science and Engineering, Associate Researcher

03/2017 - 01/2019 South China University of Technology, School of Electronics and Information, Assistant Researcher

01/2017 - 12/2018 South China University of Technology, School of Electronics and Information, Postdoctoral Fellowship

Research Field

Artificial Intelligence; Deep Learning Algorithms and Applications; Computer Vision; Affective Computing; Big Data Processing.

Courses

Data Structures; Machine Learning Algorithms I; Machine Learning Algorithms II; Data Mining and Crawling Techniques.

Awards

Guangdong Artificial Intelligence Industry Association Science and Technology Award, Natural Science Award, First Prize, 2024;

The 10th Wu Wenjun Artificial Intelligence ‘Outstanding Youth Award’, 2020;

Guangdong Artificial Intelligence Industry Association Science and Technology Award, Youth Science and Technology Innovation Award, 2022;

ACM (Association for Computing Machinery) Rising Star Award, 2020;

The Gold Award in the Public Welfare Track Finals of the 6th International ‘Internet Plus’ Competition (2020), Title: ‘Dynamic Friends Public Welfare, Attacking Drugs with “Dynamic”’. (Mentor)

The Gold Prize in the International Track of the 6th International ‘Internet Plus’ Competition (2020), Title: ‘E-Mental Health’. (Mentor)

First Prize for Scientific and Technological Progress of Guangdong Province, Key Technologies and Applications of Cross-Domain Multidimensional Electronic Fences, 2019

Awarded the IEEE SMC Society Franklink V. Taylor Award for Best Paper, 2019

2016 Macao Postgraduate Technology R&D Award (Outstanding PhD)

iFuzzy 2015 International Conference ‘Best Student Paper’ Award of Excellence

Participation and chairing of projects

1. National Natural Science Foundation of China Key Program, Emotional Value Alignment Cognition and Trustworthy Decision-making with Large Models, 62536004，2026/01-2030/12，2.29 million, PI;

2. National Science Fund for Excellent Young Scholars, Fundamental Research on Machine Intelligence Algorithms and Emotion Recognition, 62222603, 2023/01-2025/12, 2 million , PI;

3. National Science and Technology Innovation 2030-Major Project, 2021ZD0200702, Student Population Cohort Study of Depression, 2021/12-2026/11, 1.39 million, Sub-topic Leader;

4. National Key Research and Development Program of China, 2019YFA0706200, Early Identification and Intervention Methods for Depression Disorders Based on Psychopathic Multimodal Information, 2020/01-2024/12, 27.12 million, Sub-topic Leader (1.8 million);

5. National Natural Science Foundation of China (NSFC) General Project, 62076102, Research on the Cross-modal Emotional Analyse Methods based on Few Shot Learning, 2021/01-2024/12, 590,000 RMB, PI;

6. Guangzhou Science and Technology Project, 2024A04J6310, Research on Multimodal Affective Computing and Application, 2024/01-2026/12, 300,000 RMB, PI;

7. Guangdong Natural Science Funds for Distinguished Young Scholar under Grant, Multimodal Sentiment Intelligence Analysis Methods and Applications, 2020B1515020041, 2019/10-2023/09, 1 million, PI;

8. National Natural Science Foundation of China (NSFC) Youth Fund Project, 61702195, , Emotion Recognition Based on Interaction between Multi-channel Physiological Signal and Virtual Reality Scenes, 2018/01-2020/12, 250,000 RMB, PI;

9. Science and Technology Program of Guangzhou, 202002030250, Study of Emotional Analysis Methods based on Broad Learning, 2020/04-2023/03, 200,000 RMB, PI;

10. National Natural Science Foundation of China (NSFC) Emergency Management Key Projects, 61751202, Research on perception and behavior understanding under uncertain conditions in open environments, 2018/01-2020/12, 2.2 million, Subject Leader (660,000 RMB);

11. National Natural Science Foundation of China (NSFC) Key Projects of Joint Fund, U1813203, Environmental Perception; Human Interaction, Task Perception, Intention Recognition, and Feature Learning, 2019/01-2022/12, 2.94 million , Subject Leader (1.078 million ).

12. Science and Technology Major Project of Guangzhou， 202007030006，Research on basic theory, algorithm and application of brain-inspired perception and cognition, 10 million, 2020/04- 2023/03, Participation.

13. The Program for Guangdong Introducing Innovative and Entrepreneurial Teams, 2019ZT08X214，Computational Brain Science and emotional intelligence team， 2020/12-2025/12, 10 million , Participation.

14. National Natural Science Foundation of China (NSFC) Key Program, New Architecture and Methods for Cognition-Based Brain-Like Affective Computing, 3 million, Jan 2019 - Dec 2022, Participation.

Correspondence and first-author papers:

1. Puchun Liu, CL Philip Chen, Yubin He, Tong Zhang*, Cria: A cross-view interaction and instance-adapted pre-training framework for generalizable eeg representations, Pattern Recognition, Volume 178, October 2026, 113272(*Corresponding Author, SCI)

2. Kankan Lan, CL Philip Chen, Zongyan Zhang, Tong Zhang*, Contrastive Adversarial Tuning: Enhancing Discriminability and Robustness of LLMs for Emotion Recognition in Conversation, Pattern Recognition, Volume 174, June 2026, 113025(*Corresponding Author, SCI)

3. Bianna Chen, C. L. Philip Chen ,Tong Zhang*, IDFG: Information-Regularized Diversity-Fidelity Graph for EEG emotion recognition, Knowledge-Based Systems, Volume 334, 15 February 2026. (*Corresponding Author, SCI)

4. Tong Zhang, Qilin Li, Xueyue Yang and C. L. Philip Chen, MCGC-Net: Multi-scale Controllable Graph Convolutional Network on Music Emotion Recognition, in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2025.3608830.(SCI)

5. Kaixiang Yang, Yifan Luo, Zongyan Zhang, CL Philip Chen, Tong Zhang*, Multimodal Affect Perception with Large Language Model Enhancement Network, in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2025.3607727.(*Corresponding Author, SCI)

6. Qilin Li, Tong Zhang*, CL Philip Chen, Xiaowei Zhang, Bin Hu, DGC-Link: Dual-Gate Chebyshev Linkage Network on EEG Emotion Recognition, in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2025.3602823.(*Corresponding Author, SCI)

7. M. Cai, C. L. P. Chen, S. Li and T. Zhang*, Label Feature Co-Learning for Facial and EEG Emotion Recognition, in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2025.3600267.(*Corresponding Author, SCI)

8. Chen Tang, Tingrui Shen, Xinrong Gong, Chong Zhao, Tong Zhang*, DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis, Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025/8/16, 8250-8258.(*Corresponding Author, EI)

9. X. Hu, C. L. P. Chen and T. Zhang*, Broad Metric Learning: A Fast and Efficient Discriminative Metric Learning Model, in IEEE Transactions on Cybernetics, vol. 55, no. 10, pp. 4675-4688, Oct. 2025, doi: 10.1109/TCYB.2025.3594005.(*Corresponding Author, SCI)

10. T. Zhang, T. Hu, M. Wu, Z. Xu and C. L. Philip Chen, ACM-GNN: Adaptive Cluster-Oriented Modularity Graph Neural Network for EEG Depression Detection, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2025.3576373.( SCI)

11. Jiecheng Zhang, C.L.Philip Chen, Shuzhen Li, and Tong Zhang*. 2025. Incongruity-aware Tension Field Network for Multi-modal Sarcasm Detection. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14499–14508, Vienna, Austria. Association for Computational Linguistics.(*Corresponding Author, EI)

12. S. Li, T. Zhang* and C. L. P. Chen, Cyclic Data Distillation Semi-Supervised Learning for Multi-Modal Emotion Recognition, in IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 9, pp. 5078-5092, Sept. 2025, doi: 10.1109/TKDE.2025.3581786.(*Corresponding Author, SCI)

13. Y. Xu, C. L. Philip Chen, M. Wu and T. Zhang*, SGB-Net: Scalable Graph Broad Network, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2025.3552129.(*Corresponding Author, SCI)

14. C. Lei, C. L. P. Chen and T. Zhang*, AM-ConvBLS: Adaptive Manifold Convolutional Broad Learning System for Cross-Session and Cross-Subject Emotion Recognition, in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2025.3565570.(*Corresponding Author, SCI)

15. Y. Xu, C. L. Philip Chen, M. Wu and T. Zhang*, SGB-Net: Scalable Graph Broad Network, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2025.3552129.(*Corresponding Author, SCI)

16. C. L. Philip Chen, B. Chen and T. Zhang*, AdamGraph: Adaptive Attention-Modulated Graph Network for EEG Emotion Recognition, in IEEE Transactions on Cybernetics, vol. 55, no. 5, pp. 2038-2051, May 2025, doi: 10.1109/TCYB.2025.3550191.(*Corresponding Author, SCI)

17. Zongyan Zhang; C. L. Philip Chen; Haohan Weng; Tong Zhang*, Self-Prompt Guided Image Outpainting Model for Captions Absence in Social Scenes, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2025.3547421.(*Corresponding Author, SCI)

18. Y. He, C. L. P. Chen, B. Chen and T. Zhang*, Enhancing Generalized EEG Classification with Decomposed Statistics-diverse Feature Augmentation, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025, pp. 1-5, doi: 10.1109/ICASSP49660.2025.10887610.(*Corresponding Author, EI)

19. Zihua Xu; C. L. Philip Chen; Tong Zhang*, TFAGL: A Novel Agent Graph Learning Method Using Time-Frequency EEG For Major Depressive Disorder Detection, in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2025.3527459.(*Corresponding Author, SCI)

20. Yikai Li; C. L. Philip Chen; Tong Zhang*, Co-Training Broad Siamese-Like Network for Coupled-View Semi-Supervised Learning, in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2025.3531441.(*Corresponding Author, SCI)

21. Jiaxin Guo, C. L. Philip Chen, Shuzhen Li, and Tong Zhang*. Deuce: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning. Transactions of the Association for Computational Linguistics, 12:1736–1754, 2024.(*Corresponding Author, SCI)

22. Jingxin Liang; C.L. Philip; Yuebin Xu; Tong Zhang*, EEG Sequence Dependencies Learning With Fine-grained Sleep Transition Graph for Sleep Stage Classification, 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 2024, pp. 3485-3490, doi: 10.1109/BIBM62325.2024.10822164.(*Corresponding Author, EI)

23. Ziyi Zhu; C. L. Philip Chen; Haiqi Liu; Tong Zhang*, Temporal Group Attention Network with Affective Complementary Learning for Gait Emotion Recognition, 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 2024, pp. 3026-3033, doi: 10.1109/BIBM62325.2024.10822501. (*Corresponding Author, EI)

24. Weiyi Yao; C. L. Philip Chen; Zongyan Zhang; Tong Zhang*. AE-AMT: Attribute-Enhanced Affective Music Generation With Compound Word Representation. IEEE Transactions on Computational Social Systems, 10.1109/TCSS.2024.3486536(*Corresponding Author, SCI)

25. Bianna Chen; C. L. Philip Chen; Tong Zhang*. Ugan: Uncertainty-Guided Graph Augmentation Network for EEG Emotion Recognition. IEEE Transactions on Computational Social Systems,10.1109/TCSS.2024.3488201, 2024(*Corresponding Author, SCI)

26. Chongxing Shi; C. L. Philip Chen; Shuzhen Li; Tong Zhang*. Functional Connectivity Patterns Learning for EEG-based Emotion Recognition. IEEE Transactions on Cognitive and Developmental Systems,10.1109/TCDS.2024.3470248, 2024.(*Corresponding Author, SCI)

27. Hua Yang; C. L. Philip Chen; Bianna Chen; Tong Zhang*. Improving the Interpretability through Maximizing Mutual Information for EEG Emotion Recognition. IEEE Transactions on Affective Computing, 10.1109/TAFFC.2024.3463469, 2024.(*Corresponding Author, SCI)

28. Mengqi Wu; C. L. Philip Chen; Bianna Chen; Tong Zhang*. Grop: Graph orthogonal purification network for eeg emotion recognition. IEEE Transactions on Affective Computing,10.1109/TAFFC.2024.3433613, 2024.(*Corresponding Author, SCI)

29. Tong Zhang, Qilin Li, Jingtao Wen, C.L. Philip Chen,Enhancement and optimisation of human pose estimation with multi-scale spatial attention and adversarial data augmentation, Information Fusion, Volume 111, 2024(SCI)

30. Shuzhen Li; Tong Zhang*; C. L. Philip Chen, SIA-Net: Sparse Interactive Attention Network for Multimodal Emotion Recognition, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2024.3409715.(*Corresponding Author, SCI)

31. Y. Shen, C. L. P. Chen and T. Zhang*, DHFusion: Deep Hypergraph Convolutional Network for Multi-Modal Physiological Signals Fusion, 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kuching, Malaysia, 2024, pp. 1939-1944, doi: 10.1109/SMC54092.2024.10831653.(*Corresponding Author, EI)

32. Z. Deng, C. L. P. Chen and T. Zhang*, DPCA: Dynamic Probability Calibration Algorithm in LMaaS, 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kuching, Malaysia, 2024, pp. 235-240, doi: 10.1109/SMC54092.2024.10831099.（(*Corresponding Author, EI)

33. H. Weng, C. L. P. Chen, K. Yi, H. Liu and T. Zhang*, OneDConv: Generalized Convolution for Transform-Invariant Representation, 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kuching, Malaysia, 2024, pp. 2238-2243, doi: 10.1109/SMC54092.2024.10831051.(*Corresponding Author, EI)

34. Z. Yuan, C. L. P. Chen, S. Li and T. Zhang*, Multi-Granularity Temporal-Spectral Representation Learning for Speech Emotion Recognition, 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kuching, Malaysia, 2024, pp. 469-474, doi: 10.1109/SMC54092.2024.10831974.(*Corresponding Author, EI)

35. T. Xu, T. Zhang*, B. Chen and C. L. P. Chen, Dual-Domain Attention Based Adaptive Graph Convolutional Network for EEG Emotion Recognition, 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kuching, Malaysia, 2024, pp. 2752-2759, doi: 10.1109/SMC54092.2024.10832104.(*Corresponding Author, EI)

36. Tong Zhang; Yelin Chen; Shuzhen Li; Xiping Hu; C. L. Philip Chen*, TT-GCN: Temporal-Tightly Graph Convolutional Network for Emotion Recognition From Gaits, in IEEE Transactions on Computational Social Systems, vol. 11, no. 3, pp. 4300-4314, June 2024.

37. Zhong, Linjun and Chen, C. L. Philip and Guo, Jifeng and Zhang, Tong*, Robust Incremental Broad Learning System for Data Streams of Uncertain Scale, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2024.3396659.(*Corresponding Author, SCI)

38. Mengqing Ye; C. L. Philip Chen; Wenming Zheng; Tong Zhang*, Adaptive Dual-Space Network With Multigraph Fusion for EEG-Based Emotion Recognition, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2024.3386621.(*Corresponding Author, SCI)

39. Xinrong Gong; C. L. Philip Chen; Bin Hu; Tong Zhang*, CiABL: Completeness-induced Adaptative Broad Learning for Cross-Subject Emotion Recognition with EEG and Eye Movement Signals, in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2024.3392791.(*Corresponding Author, SCI)

40. Xiaojun Kuang, C. L. Philip Chen, Shuzhen Li, and Tong Zhang*. 2024. Multi-Scale Prompt Memory-Augmented Model for Black-Box Scenarios. 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 1743–1757, Mexico City, Mexico.(*Corresponding Author, EI)

41. Zhichen Yuan, CL Philip Chen, Shuzhen Li, Tong Zhang*, Disentanglement Network: Disentangle the Emotional Features from Acoustic Features for Speech Emotion Recognition, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 11686-11690, doi: 10.1109/ICASSP48485.2024.10448044. (*Corresponding Author, EI)

42. Xinglong Wu, CL Philip Chen, Shuzhen Li, Tony Zhang*, Snapshot Prompt Ensemble for Parameter-Efficient Soft Prompt Transfer, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 11946-11950, doi: 10.1109/ICASSP48485.2024.10448070. (*Corresponding Author, EI)

43. Bianna Chen, CL Philip Chen, Tong Zhang*, GDDN: Graph Domain Disentanglement Network for Generalizable EEG Emotion Recognition, in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2024.3371540.(*Corresponding Author, SCI)

44. Haiqi Liu, CL Philip Chen, Xinrong Gong, Tong Zhang*, Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition, in IEEE Transactions on Multimedia, doi: 10.1109/TMM.2024.3369870. (*Corresponding Author, SCI)

45. Xiaojun Li, CL Philip Chen, Bianna Chen, Tong Zhang*, Gusa: Graph-based Unsupervised Subdomain Adaptation for Cross-Subject EEG Emotion Recognition, in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2024.3349770.(*Corresponding Author, SCI)

46. Hua Yang, CL Philip Chen, Bianna Chen, Tong Zhang* FACExplainer: Generating Model-faithful Explanations for Graph Neural Networks Guided by Spatial Information, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul, Turkiye, 2023, pp. 718-725.(*Corresponding Author, SCI)

47. Bingxiu Liu, Jifeng Guo, CL Philip Chen, Xia Wu, Tong Zhang*, Fine-grained Interpretability for EEG Emotion Recognition: Concat-aided Grad-CAM and Systematic Brain Functional Network, in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2023.3288885.(*Corresponding Author, SCI)(High Cited)

48. Xinrong Gong, CL Philip Chen, Tong Zhang*, Cross-Cultural Emotion Recognition With EEG and Eye Movement Signals Based on Multiple Stacked Broad Learning System, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2023.3298324.(*Corresponding Author, SCI)

49. Xinrong Gong, Yihan Dong, Tong Zhang*. CoDF-Net: coordinated-representation decision fusion network for emotion recognition with EEG and eye movement signals. Int. J. Mach. Learn. & Cyber. (2023). https://doi.org/10.1007/s13042-023-01964-w(*Corresponding Author, SCI)

50. Shuzhen Li, Tong Zhang*, Bianna Chen, CL Philip Chen, MIA-Net: Multi-Modal Interactive Attention Network for Multi-Modal Affective Analysis, in IEEE Transactions on Affective Computing, vol. 14, no. 4, pp. 2796-2809, 1 Oct.-Dec. 2023.(*Corresponding Author, SCI)

51. Wen-lin Li, Tong Zhang*, Xiao Liu. A static video summarization approach via block-based self-motivated visual attention scoring mechanism. International Journal of Machine Learning and Cybernetics. (2023). https://doi.org/10.1007/s13042-023-01814-9(*Corresponding Author, SCI)

52. Wenrui Gan, Zhulin Liu, C.L. Philip Chen, Tong Zhang*, Siamese labels auxiliary learning, Information Sciences, Volume 625, 2023, Pages 314-326.(*Corresponding Author, SCI)

53. Tong Zhang*, Jingxiang Lian, Jingtao Wen, CL Philip Chen*, Multi-Person Pose Estimation in the Wild: Using Adversarial Method to Train a Top-Down Pose Estimation Network, in IEEE Transactions on Systems, Man, and Cybernetics: Systems,vol. 53, no. 7, pp. 3919-3929, July 2023.(SCI)

54. Mengqing Ye, CL Philip Chen, Tong Zhang*, Hierarchical Dynamic Graph Convolutional Network With Interpretability for EEG-Based Emotion Recognition, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2022.3225855.(*Corresponding Author, SCI)

55. Yikai Li, C. L. Philip Chen and Tong Zhang*, A Survey on Siamese Network: Methodologies, Applications and Opportunities, in IEEE Transactions on Artificial Intelligence, 2022, doi: 10.1109/TAI.2022.3207112.(*Corresponding Author, SCI)

56. Wang, Xuehan and Zhang, Tong* and Chen, C. L. Philip, PAU-Net: Privileged Action Unit Network for Facial Expression Recognition, in IEEE Transactions on Cognitive and Developmental Systems, vol. 15, no. 3, pp. 1252-1262, Sept. 2023, doi: 10.1109/TCDS.2022.3203822.(*Corresponding Author, SCI)

57. Tong Zhang, Shuzhen Li, Bianna Chen, Haozhang Yuan, C. L. Philip Chen*, AIA-Net: Adaptive Interactive Attention Network for Text–Audio Emotion Recognition, in IEEE Transactions on Cybernetics, vol. 53, no. 12, pp. 7659-7671, Dec. 2023, doi: 10.1109/TCYB.2022.3195739.(SCI)

58. Xuehan Wang, C. L. Philip Chen, Haozhang Yuan, Tong Zhang*, Semantic Learning for Facial Action Unit Detection, in IEEE Transactions on Computational Social Systems, vol. 10, no. 3, pp. 1372-1380, June 2023, doi: 10.1109/TCSS.2022.3166133.(*Corresponding Author, SCI).

59. Tong Zhang, Xuehan Wang, Xiangmin Xu, CL Philip Chen, GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognition, in IEEE Transactions on Affective Computing, vol. 13, no. 1, pp. 379-388, 1 Jan.-March 2022.(SCI) (High Cited)

60. Qilin Li, Tong Zhang*, C. L. Philip Chen, Ke Yi, Long Chen, Residual GCB-Net: Residual Graph Convolutional Broad Network on Emotion Recognition, in IEEE Transactions on Cognitive and Developmental Systems, 2022, doi: 10.1109/TCDS.2022.3147839. (*Corresponding Author, SCI). (High Cited)

61. Run Ning, CL Philip Chen, Tong Zhang*, Cross-Subject EEG Emotion Recognition Using Domain Adaptive Few-Shot Learning Networks, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 1468-1472, (*Corresponding Author, EI).

62. Hongbo Gao, Juping Zhu;, Tong Zhang*, Guotao Xie, Zhen Kan, Zhengyuan Hao, Kang Liu, Situational Assessment for Intelligent Vehicles Based on Stochastic Model and Gaussian Distributions in Typical Traffic Scenarios, in IEEE Transactions on Systems, Man, and Cybernetics: Systems,vol. 52, no. 3, pp. 1426-1436, March 2022, DOI: 10.1109/TSMC.2020.3019512. (*Corresponding Author, SCI) (High Cited)

63. Hongbo Gao, Chen Lv, Tong Zhang*, Hongfei Zhao, Lei Jiang, Junjie Zhou, Yuchao Liu, Yi Huang, Chao Han, A Structure Constraint Matrix Factorization Framework for Human Behavior Segmentation, in IEEE Transactions on Cybernetics,vol. 52, no. 12, pp. 12978-12988, Dec. 2022.. (*Corresponding Author, SCI)

64. Tong Zhang, Xinrong. Gong and C. L. Philip Chen, BMT-Net: Broad Multitask Transformer Network for Sentiment Analysis, in IEEE Transactions on Cybernetics,vol. 52, no. 7, pp. 6232-6243, July 2022.(SCI)

65. Xinrong Gong, Tong Zhang*, C. L. Philip Chen and Zhulin Liu,, Research Review for Broad Learning System: Algorithms, Theory, and Applications, in IEEE Transactions on Cybernetics,vol. 52, no. 9, pp. 8922-8950, Sept. 2022. (*Corresponding Author, SCI) (High Cited)

66. Tong Zhang, Yuan Zong, Wenming Zheng, C. L. Philip Chen, Xiaopeng Hong, Chuangao Tang, Zhen Cui, Guoying Zhao; Cross-Database Micro-Expression Recognition: A Benchmark, in IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 2, pp. 544-559, 1 Feb. 2022.(SCI) (High Cited)

67. T. Zhang, C. Lei, Z. Zhang, X. -B. Meng and C. L. P. Chen, AS-NAS: Adaptive Scalable Neural Architecture Search with Reinforced Evolutionary Algorithm for Deep Learning, in IEEE Transactions on Evolutionary Computation, vol. 25, no. 5, pp. 830-841, Oct. 2021.(SCI)

68. Y. Li, T. Zhang*, C. L. Philip Chen, Enhanced Broad Siamese Network for Facial Emotion Recognition in Human-Robot Interaction, in IEEE Transactions on Artificial Intelligence, vol. 2, no. 5, pp. 413-423, Oct. 2021. (*Corresponding Author, SCI)

69. T. Zhang, Y. Li, C.L. Philip Chen, Edge computing and its role in Industrial Internet: Methodologies, applications, and future directions, Information Sciences, Volume 557, 2021, Pages 34-65.(SCI)

70. Zhang, Tong, Huifeng Lin, Zhaojie Ju, and Chenguang Yang. Hand Gesture recognition in complex background based on convolutional pose machine and fuzzy Gaussian mixture models. International Journal of Fuzzy Systems (2020.6): 1-12.(SCI)

71. Yikai Li, Tong Zhang*, C.L. Philip Chen. Broad twin networks for edge computing applications[J]. Journal of Automation,2020,46(10):2060-2071.(*Corresponding author)

72. LI Ling, PAN Xianzhen, ZHANG Tong*. Big data analysis technology and its application in logistics industry[J]. Journal of Guangzhou University (Natural Science Edition),2020,19(04):42-49.(*Corresponding Author)

73. Xue Jia, Tong Zhang* , C. L. Philip Chen, Zhulin Liu, Long Chen, Guihua Wen, Bin Hu, Multi-channel EEG based Emotion Recognition using Temporal Convolutional Network and Broad Learning System, 2020 IEEE International Conference on Systems, Man and Cybernetics (SMC).11-14 Oct. 2020 (*Corresponding Author, EI)

74. Jiang, Y., Xu, J. T. Zhang*. View-independent representation with frame interpolation method for skeleton-based human action recognition. Int. J. Mach. Learn. & Cyber. (2020). (*Corresponding Author, SCI)

75. Lin Huifeng#, Zhang Tong#, Chen Zhaopeng, Song Haina, Yan Chenguang*, Adaptive Fuzzy Gaussian Mixture Models for Shape Approximation in Robot Grasping , International Journal of Fuzzy Systems, 2019.6, Vol.21, No.4, pp. 1026~1037,(Joint first author, SCI)

76. X. Gong, J. Jin and T. Zhang*, Sentiment Analysis Using Autoregressive Language Modeling and Broad Learning System, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, CA, USA, 2019, pp. 1130-1134. (*Corresponding Author, EI)

77. H. Huang#, T. Zhang#, C. Yang and C. L. P. Chen, Motor Learning and Generalization Using Broad Learning Adaptive Neural Control, in IEEE Transactions on Industrial Electronics, vol. 67, no. 10, pp. 8608-8617, Oct. 2020. (Joint first author, SCI) (High Cited)

78. T. Zhang, G. Su, C. Qing, X. Xu, B. Cai and X. Xing, Hierarchical Lifelong Learning by Sharing Representations and Integrating Hypothesis, in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 2, pp. 1004-1014, Feb. 2021. (SCI) (High Cited)

79. X. Wang, T. Zhang*, X. Xu, L. Chen, X. Xing and C. L. P. Chen, EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks and Broad Learning System, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, Spain, 2018, pp. 1240-1244. (*Corresponding Author, EI)

80. T. Zhang, Z. Liu, X. Wang, X. Xing, C. L. P. Chen and E. Chen, Facial Expression Recognition via Broad Learning System, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, 2018, pp. 1898-1902.(EI)

81. T. Zhang, T. Li, C. L. P. Chen, L. Chen, B. Chen and X. Xu, Improved Quantification of 18O Labeled LC-MS Based on I-Ching Divination Evolutionary Algorithm, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, 2018, pp. 1892-1897.(EI)

82. T. Zhang, C. L. P. Chen, L. Chen, X. Xu and B. Hu, Design of Highly Nonlinear Substitution Boxes Based on I-Ching Operators, in IEEE Transactions on Cybernetics, vol. 48, no. 12, pp. 3349-3358, Dec. 2018.(SCI) (High Cited)

83. Lin Peiguang(#); Zhang Tong(*); Xia Menglong; Zhou Jin; Nie Peiyao, Cross-lingual analysis of English and Chinese web search, International Journal of Web and Grid Services, Jan 2018, 14(4): 376~39. (*Corresponding Author, SCI)

84. T. Zhang, L Chen, CLP Chen, Clustering algorithm based on spatial shadowed fuzzy c-means and i-ching operators, International Journal of Fuzzy Systems 18(4): 609-617, 2016.(SCI)

85. Tong Zhang, C.L. Philip Chen, and Long, Chen, “A Novel Image Segmentation Algorithm Based on Spatial Shadowed Fuzzy C-means and I-Ching Operators”, International Conference on Fuzzy Theory and Its Applications, P156-161, Nov. 17-21, 2015. (Best student Paper, EI)

86. Tong Zhang, C.L. Philip Chen, Zhou Jin, “Impact of Ratio on Two-layer Neural Networks with Dynamic Optimal Learning Rate”, 2014 International Joint Conference on Neural Networks (IJCNN), pp. 2738-2742, July 6-12, Beijing, China.(EI)

87. Tong Zhang, C.L. Philip Chen, A Horizon-Vertical Dimension Reduction Method for Classication of Cancer Cell Gene in a Fuzzy Neural Network in Proc. International Conference on Fuzzy Theory and Its Application, Dec. 6-8, 2013, Taipei, Taiwan.(EI)

88. Tong Zhang, C.L. Philip Chen, Chi-Hsu Wang, Sik Chung Tam, “A New Dynamic Optimal Learning Rate for A Two-Layer Neural Network” in Proc. 2012 IEEE International Conference on System Science and Engineering， June 29-July 2, 2012, Dalian, China.(EI)

89. Tong Zhang, Yicong Zhou, C.L. Philip Chen, “A New Combined Chaotic System for Image Encryption” in Proc. 2012 IEEE International Conference on Computer Science and Automation Engineering May 26-28, 2012, Hunan, China.(EI)

90. Tong Zhang, Sik Chung Tam, Chi-Hsu Wang, C.L. Philip Chen, “On the Classification of Cancer Cell Gene via Expressive Value Distance (EVD) Algorithm and Its Comparison to the Optimally Trained ANN Method” in Proc. 2011 IEEE International Conference on Fuzzy Systems June 27-30, 2011, Taipei, Taiwan.(EI)

Participation papers

1. Xin Zhang, Guang-Ze Chen, Shuzhen Li, Zhulin Liu, C.L.Philip Chen, and Tong Zhang. 2025. An Orthogonal High-Rank Adaptation for Large Language Models. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 18826–18844, Suzhou, China. Association for Computational Linguistics.

2. Xingchen Li, Shiyuan Han, Jin Zhou, C.L.Philip Chen, Tong Zhang, Yuehui Chen, Lin Wang, Tao Du, Xiaoyu Zheng, Collaborative multi-view fuzzy clustering based on Gaussian mixture model, Neurocomputing, Volume 661, 14 January 2026, 131961

3. Yongbin Guo, Shuzhen Li, Zhulin Liu, Tong Zhang, and C. L. Philip Chen. 2025. A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 31346–31359, Vienna, Austria. Association for Computational Linguistics.

4. Haohan Weng, Zibo Zhao, Biwen Lei, Xianghui Yang, Jian Liu, Zeqiang Lai, Zhuo Chen, Yuhong Liu, Jie Jiang, Chunchao Guo, Tong Zhang, Shenghua Gao, C.L. Philip Chen; Scaling mesh generation via compressive tokenization, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, pp. 11093-11103

5. Wei Dai, Teng Cui, Tong Zhang, Badong Chen, VFL+: Low-Coupling Vertical Federated Learning With Privileged Information Paradigm, in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2025.3543769.（SCI）

6. D. Zhang, T. Zhang, C. L. P. Chen and T. Zhang, Broad Learning System Based on Fractional Feature Optimization, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2025.3540076.

7. Xiaotian Gao, Yu Du, Shiyuan Han, Wenxiu Zhao, Jin Zhou, Tong Zhang, C.L. Philip Chen， Multi-agent reinforcement learning for vibration control of regenerative active suspension, Engineering Applications of Artificial Intelligence, Volume 153, 1 August 2025, 110809

8. H. -X. Hu, J. Cao, J. Zhou, Y. Chen, T. Zhang and G. Wen, Social Power Evolution of Multiple DeGroot Individuals With Centralized Media, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2025.3574820.

9. K. Yang, Z. Zhong, S. Sun, Z. Yu, C. L. P. Chen and T. Zhang, LLM40FD: Unlocking the Potential of LLM for Anonymous Zero-Shot Fraud Detection, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2025.3563954.

10. Hao Li; Shiyuan Han; Min Yang; Jie Liu; Jin Zhou; Tong Zhang; C. L. Philip Chen, Dynamic Spatial-Temporal Imputation Network With Missing Features for Traffic Data Imputation, in IEEE Internet of Things Journal, vol. 12, no. 14, pp. 29005-29017, 15 July15, 2025, doi: 10.1109/JIOT.2025.3567697.

11. Zhenyu Yang; Wenyue Hu; Tong Zhang; Yuhu Cheng; Xuesong Wang, Debiased Sequential Recommendation by Separating Long-Term and Short-Term Interests, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2025.3542903.

12. Haohan Weng, Yikai Wang, Tong Zhang, C. L. Philip Chen, Jun Zhu.”PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance” ICLR 2025 (EI)

13. Z. Yang, Z. Zhang, Y. Cheng, T. Zhang and X. Wang, Semantic and Emotional Dual Channel for Emotion Recognition in Conversation, in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2025.3544608. (SCI)

14. Wenjie Yuan; Xiaowei Zhang; Xuejuan Zhang; Shuangyan Wang; Tianzhi Wang; Tong Zhang; Qinglin Zhao; Bin Hu, Discovery of Shared Latent Nonlinear Effective Connectivity for EEG-Based Depression Detection, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2024.3514182.(SCI)

15. Hao Li, Jie Liu, Shiyuan Han, Jin Zhou, Tong Zhang, C.L. Philip Chen, STFGCN: Spatial–temporal fusion graph convolutional network for traffic prediction, Expert Systems with Applications, Volume 255, Part B, 2024, 124648.(SCI)

16. Y. Li, T. Zhang and C. L. P. Chen, Broad Siamese Network for Facial Beauty Prediction, in IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2024.3429293.(SCI)

17. Tiantian Lu, Jianbin Xiong, Jiehan Zhou, Qi Wang, Jian Cen, Minghui Liu, Qinghua Zhang, Qingyun Dai, Tong Zhang, Juntao Zhang, Bearing Fault Diagnosis Using Multichannel Broad Learning System Based on Positive–Negative Weighted Voting Mechanism, in IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-10, 2024, Art no. 3514010, doi: 10.1109/TIM.2024.3373075.

18. Zhenyu Yang, Xiaoyang Li, Yuhu Cheng, Tong Zhang, Xuesong Wang, Emotion Recognition in Conversation Based on a Dynamic Complementary Graph Convolutional Network, in IEEE Transactions on Affective Computing, doi: 10.1109/TAFFC.2024.3360979.

19. Xiao Liu, C.L. Philip Chen*, Deyu Qi, Tong Zhang. Exploration of low-resource language-oriented machine translation system of genetic algorithm-optimized hyper-task network under cloud platform technology. The Journal of Supercomputing 80, 3310–3333 (2024).

20. Jiaxi Wang, Yixue Hao, Long Hu, Tong Zhang, Xiaoqiang Ma, Min Chen, Self-maintained Network Digital Twin for Human-centric Wireless Metaverse, in IEEE Network, doi: 10.1109/MNET.2023.3337644.

21. Haohan Weng, Danqing Huang, Tong Zhang, Chin-Yew Lin，Learn and sample together: Collaborative generation for graphic design layout，Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence，pp.5851-5859, 2023/8/19

22. Zhijia Zhao, Weitian He, Tao Zou, Tong Zhang, CL Philip Chen, Adaptive Broad Learning Neural Network for Fault-Tolerant Control of 2-DOF Helicopter Systems, in IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2023.3299303.(SCI)

23. Z. Zhang, H. Weng, T. Zhang and C. L. P. Chen, A Broad Generative Network for Two-Stage Image Outpainting, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2023.3264617.(SCI)

24. Dan Pan, Genqiang Luo, An Zeng, Chao Zou, Haolin Liang, Jianbin Wang, Tong Zhang, Baoyao Yang, Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer’s Disease, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3223999.(SCI)

25. RAO Xiaojie, ZHANG Tong, MENG Xianbing, CHEN Junlong. A drug interaction prediction method based on multilayer attention and message passing networks[J/OL]. Journal of Automation:1-12[2023-01-05]. (EI)

26. Z. Yang, L. Cui, X. Wang, T. Zhang and Y. Cheng*, MIAR: Interest-Activated News Recommendation by Fusing Multichannel Information, in IEEE Transactions on Computational Social Systems, 2022, doi: 10.1109/TCSS.2022.3201944.(SCI)

27. Yingxu Wang, Shiyuan Han, Jin Zhou, Long Chen, CL Philip Chen, Tong Zhang, Zhulin Liu, Lin Wang, Yuehui Chen, Random Feature based Collaborative Kernel Fuzzy Clustering for Distributed Peer-to-Peer Networks, in IEEE Transactions on Fuzzy Systems, 2022, doi: 10.1109/TFUZZ.2022.3188363.(SCI)

28. Liu, Xiangdao and Wang, Rongrong and Zhou, Jin and Chen, C. L. Philip and Zhang, Tong and Chen, Yuehui and Han, Shiyuan and Du, Tao and Ji, Ke and Zhang, Kun, Transfer Learning Based Collaborative Multi-View Clustering, in IEEE Transactions on Fuzzy Systems, 2022, doi: 10.1109/TFUZZ.2022.3196735.(SCI)

29. Quan Tang, Fa-Gui Liu*, Tong Zhang, Jun Jiang, Yu Zhang, Boyuan Zhu, Xuhao Tang, Compensating for Local Ambiguity with Encoder-Decoder in Urban Scene Segmentation, IEEE Transactions on Intelligent Transportation Systems, 2022, dio: 10.1109/TITS.2022.3157128.(SCI)

30. Dang, Bozhan, Yingxu Wang, Jin Zhou, Rongrong Wang, Long Chen, CL Philip Chen, Tong Zhang, Shiyuan Han, Lin Wang, and Yuehui Chen. Transfer Collaborative Fuzzy Clustering in Distributed Peer-to-Peer Networks, in IEEE Transactions on Fuzzy Systems, vol. 30, no. 2, pp. 500-514, Feb. 2022.(SCI)

31. Z. Yang, Y. Wang, Y. Cheng, T. Zhang and X. Wang, Recommendation Model Based on Enhanced Graph Convolution That Fuses Review Properties, in IEEE Transactions on Computational Social Systems, 2022, doi: 10.1109/TCSS.2022.3181065.(SCI)

32. Kang Wang, Xuesong Wang, Tong Zhang & Yuhu Cheng*, Few-shot learning with deep balanced network and acceleration strategy. Int. J. Mach. Learn. & Cyber. 13, 133–144 (2022). (SCI)

33. Zhi Chen, Singla Sethiel Mosha, Tong Zhang, Ming Xu, Yanli Li, Zhuoqing Hu, Weiqiang Liang, Xiaoyi Deng, Tingting Ou, Ling Li, Wangen Li. Incidence of microcarcinoma and non‐microcarcinoma in ultrasound‐found thyroid nodules. BMC Endocr Disord 21, 38 (2021). https://doi.org/10.1186/s12902-021-00700-1

34. Z. Liu, C. L. P. Chen, S. Feng, Q. Feng and T. Zhang, Stacked Broad Learning System: From Incremental Flatted Structure to Deep Model, in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 1, pp. 209-222, Jan. 2021.(SCI)

35. Quan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang, Attention-guided chained context aggregation for semantic segmentation, Image and Vision Computing, Volume 115, 2021.(SCI)

36. Guo, Jifeng and Liu, Zhulin and Chen, C. L. Philip and Zhang, Tong and Wang, Lin and Fan, Kaipeng, An Efficient Inspection System based on Broad Learning: Nondestructively Estimating Cement Compressive Strength with Internal Factors, in IEEE Transactions on Industrial Informatics,Vol. 18, no. 6, pp. 3787-3798, June 2022.(SCI)

37. Xiaowei Zhang; Jinyong Liu ; Jian Shen; Shaojie Li; Kechen Hou; Bin Hu; Jin Gao; Tong Zhang; Bin Hu., Emotion Recognition From Multimodal Physiological Signals Using a Regularized Deep Fusion of Kernel Machine, in IEEE Transactions on Cybernetics, vol. 51, no. 9, pp. 4386-4399, Sept. 2021. (SCI)

38. Yiliang Liu, Zhijun Li*, Tong Zhang, and Suna Zhao, Brain–Robot Interface-Based Navigation Control of a Mobile Robot in Corridor Environments, in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 8, pp. 3047-3058, Aug. 2020.(SCI)

39. Xu, Guangmei, Jin Zhou, Jiwen Dong, CL Philip Chen, Tong Zhang, Long Chen, Shiyuan Han, Lin Wang, and Yuehui Chen. Multivariate morphological reconstruction based fuzzy clustering with a weighting multi-channel guided image filter for color image segmentation. International Journal of Machine Learning and Cybernetics 11, no. 12 (2020): 2793-2806.(SCI)

40. Fang Liu, Xiangmin Xu, Tong Zhang, Kailing Guo, Lin Wang, Exploring privileged information from simple actions for complex action recognition, Neurocomputing vol. 380, PP. 236-245, Mar.2020. (SCI)

41. Tie Qiu, Zhao Zhao, Tong Zhang, Chen Chen, CL Philip Chen*, Underwater Internet of Things in Smart Ocean: System Architecture and Open Issues, in IEEE Transactions on Industrial Informatics.vol. 16, no. 7, pp. 4297-4307, July 2020. (SCI) (High Cited)

42. Xiangdao Liu; Jin Zhou; Hui Jiang; C. L. Philip Chen; Tong Zhang; Lin Wang; Shiyuan Han; Yuehui Chen., Multiple Spatial Information Weighted Fuzzy Clustering for Image Segmentation, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, pp. 4159-4164. (EI)

43. K. Guo, Tong Zhang, X. Xu and X. Xing, Low-Rank Tensor Thresholding Ridge Regression, in IEEE Access, vol. 7, pp. 153761-153772, Sep. 2019. (SCI)

44. Y. Ye, Tong Zhang and C. Yang, Fisher Loss: A More Discriminative Feature Learning Method in Classification, 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Hong Kong, China, 2019, pp. 746-751. (EI)

45. Chen, Bianna, Tong Zhang, Xue Jia, Jianxiu Jin, CL Philip Chen, and Xiangmin Xu. A Binary I-Ching Divination Evolutionary Algorithm for Feature Selection. In 2019 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC), pp. 5-10. IEEE, 2019.(EI)

46. Zhulin Liu , C. L. Philip Chen , Tong Zhang , Jin Zhou ; Multi-Kernel Broad Learning systems Based on Random Features:A Novel Expansion for Nonlinear Feature Nodes , 2019 IEEE International Conference on Systems ,Bari, Italy, 2019, pp. 193-197.(EI)

47. H. Li, C. Qing, X. Xu and Tong Zhang, A novel DE-PCCM feature for EEG-based emotion recognition, 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC), Shenzhen, 2017, pp. 389-393. (EI)

48. L. Chen, Tong Zhang and T. Li, Gradient boosting model for unbalanced quantitative mass spectra quality assessment, 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC), Shenzhen, 2017, pp. 394-399. (EI)

49. J. Huang, X. Xu and Tong Zhang, Emotion classification using deep neural networks and emotional patches, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, 2017, pp. 958-962. (EI)

50. L. Zeng, X. Xu, B. Cai, S. Qiu and Tong Zhang, Multi-scale convolutional neural networks for crowd counting, 2017 IEEE International Conference on Image Processing (ICIP), Beijing, 2017, pp. 465-469. (EI)

51. K Guo, X Xu, B Cai, Tong Zhang,Joint Latent Space and Multi-view Feature Learning,International Conference on Internet Multimedia Computing and Service (ICIMCS), pp. 23-31.2017. (EI)

52. R. Qiao, C. Qing, Tong Zhang, X. Xing and X. Xu, A novel deep-learning based framework for multi-subject emotion recognition, 2017 4th International Conference on Information, Cybernetics and Computational Social Systems (ICCSS), Dalian, 2017, pp. 181-185. (EI)

53. Yingxu Wang; Jiwen Dong; Jin Zhou; Lin Wang; Shiyuan Han; Tong Zhang; C. L. Philip Chen., Spectral clustering based on JS-divergence for uncertain data, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, 2017, pp. 1972-1975. (EI)

54. C.L. Philip Chen*, Tong Zhang, Long Chen, and Sik Chung Tam, “I-Ching Divination Evolutionary Algorithm and Its Convergence Analysis”, IEEE Transaction on Cybernetics, Regular paper, vol. 47, no. 1, pp. 2-13, Jan. 2017. (SCI)

55. C. L. P. Chen, Tong Zhang and S. C. Tam, A novel evolutionary algorithm solving optimization problems, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, 2014, pp. 557-561. (EI)

56. C. L. P. Chen, Tong Zhang and Y. Zhou, Image encryption algorithm based on a new combined chaotic system, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Seoul, 2012, pp. 2500-2504.(EI)

57. HK Tam, LM Tam, AJ Ghajar, SC Tam, Tong Zhang, “Experimental investigation of heat transfer, friction factor, and optimal fin geometries for the internally microfin tubes in the transition and turbulent regions, Journal of Enhanced Heat Transfer, 2012, PP. 457-476 (SCI)

58. Sik-Chung Tam, Hou-Kuan Tam, Lap-Mou Tam and Tong Zhang, A new optimization method, the Algorithm of Changes, for Bin Packing Problem, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), Changsha, 2010, pp. 994-999. (EI)