🌞 Gang-Feng Ma I Homepage
Appointed Associate Professor (with tenure-track benefits but not tenure)
School of Computer Science and Technology
Email: mgf9505@gmail.com and gf_ma@zjut.edu.cn
Currently in Professor Changjun Zhou’s team, the Vice Dean of the School of Computer Science and Technology at Zhejiang Normal University. My master‘s/doctoral/postdoctoral supervisor is Professor Xu-Hua Yang, the director of the Institute of Intelligent Computing at Zhejiang University of Technology. My research intersts include Graph Neural Network, Recommendation Systems, and Knowledge Graph. I have over 20 publications appeared in several journals and conferences such as IEEE TNSE, IP&M, KBS, IEEE TCAS-II, DMKD, Neurocomputing, IEEE TCSS, IEEE TAI and Information Sciences.
You can also visit my Chinese Academic CV here.
🕛 News
🕑 Publications
2026
Robust drug recommendation based on patient status awareness and unbiased prediction.
Gang-Feng Ma, Xilin Wen, Xu-Hua Yang, Yanbo Zhou, Wei Huang, Xiao-Xin Li, Peng Jiang.
Information Processing & Management (IP&M).
Dual-Track Diffusion: Structure-Guided High Fidelity Denoising for Social Recommendation.
Xu-Hua Yang, Zhen-Lei Huang, Gang-Feng Ma*, Jia-Ning Xu.
Knowledge-based Systems (KBS).
Sequential recommender systems: A methodological taxonomy and research frontiers.
Yanbo Zhou, Gang-Feng Ma, Xilin Wen, Xu-Hua Yang*, Yi-Cheng Zhang.
Computer Science Review (Computer Science Review).
Social Influence-weighted User Preference for Recommendation Systems.
Gang-Feng Ma, Xu-Hua Yang*, Xilin Wen, Haixia Long, Yanbo Zhou.
Physica A: Statistical Mechanics and its Applications (Physica a)
Contrastive Deep Fusion-based Diffusion Multi-view Drug Recommendation.
Gang-Feng Ma, Xu-Hua Yang*, Xilin Wen, Yanbo Zhou, Haixia Long, Wei Huang.
IEEE Transactions on Computational Social Systems (TCSS).
ConDiff: Conditional Graph Diffusion Model for Recommendation.
Xilin Wen, Xu-Hua Yang*, Gang-Feng Ma.
Information Processing & Management (IP&M).
HyperSign: Saliency-Aware Spatial Graphs and Temporal Hypergraphs for Continuous Sign Language Recognition.
Weiyi Ye, Xu-Hua Yang*, Dong Wei, Gang-Feng Ma, Yujiao Huang, Xiao-Xin Li.
AAAI Conference on Artificial Intelligence (AAAI)
SignDAGC: Dynamic Axial Graph Structure for Continuous Sign Language Recognition and Translation.
Hong-Xiang Hu, Dong Wei, Xu-Hua Yang*, Gang-Feng Ma, Sheng Liu, Yuan Feng, Yong Wang.
Pattern Recognition (PR)
SAKA: Spatially-adaptive and Keyframe-anchored Graph Network for Continuous Sign Language Recognition.
Weiyi Ye, Xu-Hua Yang*, Gang-Feng Ma, Dong Wei, Sheng Liu, Yuan Feng.
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Knowledge-Aware Prompt-Tuning for Integrated Conversational Recommender System.
Xu-Hua Yang, Ming-Liu Wu, Hang Luo, Shi-Xing Zhou, Gang-Feng Ma, Peng Jiang.
IEEE Transactions on Computational Social Systems (TCSS).
2025
Graph Contrastive Learning for Multibehavior Recommendation.
Gang-Feng Ma, Meng-Ang Chen, Xu-Hua Yang*, Xilin Wen, Haixia Long, Yujiao Huang.
IEEE Transactions on Computational Social Systems (TCSS).
Similar or Related: Spectral-Based Item Relationship Mining with Graph Convolutional Network for Complementary Recommendation.
Gang-Feng Ma, Xu-Hua Yang*, Haixia Long, Yujiao Huang.
IEEE Transactions on Artificial Intelligence (TAI).
Correlation-guided Information Deep Fusion for Multimodal Recommendation.
Gang-Feng Ma, Xu-Hua Yang*, Peng Jiang.
IEEE Transactions on Artificial Intelligence (TAI).
基于邻域增强的图自监督推荐.
文茜琳, 杨旭华*, 马钢峰.
计算机学报 (计算机学报).
Part-Wise Graph Fourier Learning for Skeleton-Based Continuous Sign Language Recognition.
Dong Wei*, Hongxiang Hu, Gang-Feng Ma.
Journal of Imaging (Journal of Imaging).
Reinforcement Knowledge Graph Reasoning based on Dual Agents and Attention Mechanism.
Xu-Hua Yang*, Tao Wang, Ji-Song Gan, Liang-Yu Gao, Gang-Feng Ma, Yan-Bo Zhou.
Applied Intelligence (APIN).
2024
Robust Preference-Guided based Disentangled Graph Social Recommendation.
Gang-Feng Ma, Xu-Hua Yang*, Yanbo Zhou, Haixia Long, Wei Huang, Weihua Gong, Sheng Liu.
IEEE Transactions on Network Science and Engineering (TNSE).
Adaptive Denoising Graph Contrastive Learning with Memory Graph Attention for Recommendation.
Gang-Feng Ma, Xu-Hua Yang*, Liang-Yu Gao, Ling-Hang Lian.
Neurocomputing (Neurocomputing).
Robust social recommendation based on contrastive learning and dual-stage graph neural network.
Gang-Feng Ma, Xu-Hua Yang*, Haixia Long, Yanbo Zhou, Xin-Li Xu.
Neurocomputing (Neurocomputing).
Network embedding based on high-degree penalty and adaptive negative sampling.
Gang-Feng Ma, Xu-Hua Yang*, Wei Ye, Xin-Li Xu, and Lei Ye.
Data Mining and Knowledge Discovery (DMKD).
Task-related network based on meta-learning for few-shot knowledge graph completion.
Xu-Hua Yang*, Wei D, Zhang L, Gang-Feng Ma, Xin-Li Xu, Hai-Xia Long..
Applied Intelligence (APIN).
2023
Enhanced contrastive representation in network.
Gang-Feng Ma, Xu-Hua Yang*, Yanbo Zhou, Lei Ye.
Information Sciences (Information Sciences).
Community Detection Based on Markov Similarity Enhancement.
Xu-Hua Yang*, Gang-Feng Ma, Xiang-Yu Zeng, Yuchao Pang, Yanbo Zhou, Yu-Di Zhang, Lei Ye.
IEEE Transactions on Circuits and Systems Part II: Express Briefs (TCAS-II).
Knowledge graph embedding and completion based on entity community and local importance.
Xu-Hua Yang*, Gang-Feng Ma, Xin Jin, Hai-Xia Long, Jie Xiao, and Lei Ye.
Applied Intelligence (APIN).
Attribute network joint embedding based on global attention.
Xu-Hua Yang*, Gang-Feng Ma, Fang-Nan Ma, Lei Ye, Yu-Di Zhang.
Pattern Recognition Letters (PRL).
Graph neural networks for preference social recommendation.
Gang-Feng Ma, Xu-Hua Yang*, Yue Tong, Yanbo Zhou.
Peerj Computer Science (Peerj Computer Science).
Before 2023
Graph Convolutional Network Based on Higher-Order Neighborhood Aggregation.
Gang-Feng Ma, Xu-Hua Yang*, Lei Ye, Yu-Jiao Huang, and Peng Jiang.
International Conference on Neural Information Processing (ICONIP)
🕓 Education Experience
Sep. 2018 - Sep. 2023: Ph.D Computer Science and Technology, Zhejiang University of Technology.
校一等奖学金;华为昇腾众智开发者;浙江省大学生新苗杯人才计划;本科教学优秀研究生助教;博士党支部纪律委员
Sep. 2013 - Jun. 2017: B.S Software Engineering, Zhejiang University of Technology.
院优秀团员;校奖学金;校级组织校社团联盟外联部副部长;易芯EC计算机社团硬件部副部长;班级副班长
🕗 Internship Experience
Zhejiang Dahua Technology Co., Ltd.
NLP Algorithm Intern
🕙 Project Experience
Huawei Ascend Pervasive Intelligence Project - Development for MindX SDK
Open-Source link: https://gitee.com/ascend/mindxsdk-referenceapps/tree/master/contrib/BertTextClassification
Development for CBCT-based Image Processing Software
Collaboration with Chengxi Branch of Hangzhou Stomatology Hospital
