• Gender:Male
• Alma Mater:浙江工业大学
• Academic Titles:校聘副教授
• Degree:Doctorate
• Status:在岗
• School/Department:计算机科学与技术学院
• Date of Employment:2025-11-04
• E-Mail:8c1d7d45182cabebc767554de8b3ecc45468c2c40dbcce71b88a4869819e84c920f337b92e497e495f5d2ae20b1bf55e65a7b084da66bb32b2ccc17b1507c6198e205cb44953c719842466befbab2e9751b77c0650c6a747bfff0287d330232046865c9c9fa21f34c4ed47b2e429551fb5091ab6b09134c28ef1eb87df7b0777

• Telephone:649b4741d7a0f386e214eed7b70886ddb35e1f9a9a5fc799b8ddd9acbf78b2fe1e801abf929b283dedc424e887da9e74e6e841ef2e84175bcab54e39173ce6fbc15cb1417055a387c758cecf92cbd63b8bb89059e018d59ae2cf27729ea7d37769f628aed95c7b362960f9097b309360207f51bf7830dc3971c5840756c1bac9
• email:6eda40457d98fc99b4edd34c125801b7ad48449f17f36b7811c6712d644c6bdea72d73157c582a4f58ca33049282d0f1a3fc4fc8cbcac3585bc68b01053e9d5915b4983a4930287a03c2443a6ff0c932ae331662e70c0a19c48984bc6bbd2b5ef860091e92f27931fa0a5528a54fb1fe4ea3c8d7f949fdfc082da527ff3a1b8f

• 马钢峰，男，浙江工业大学博士/博士后，

• 师从浙工大智能计算所所长杨旭华教授，

• 现于浙师范计算机学院副院长周昌军教授团队，

• 在IEEE TNSE, IEEE TAI, IEEE TCAS-II, IEEE TCSS,

• IP&M, KBS, INFORMATION SCIENCES,

• Computer Science Review, AAAI
  

• 等期刊和会议上发表论文二十余篇。

• 曾与华为、浙江省中医院等展开项目合作。

• 担任TKDE、TNSE、IP&M等期刊和会议审稿人。

• 主要从事人工智能，推荐系统和孤独症相关的研究。

长期招收计算机科学与技术等相关专业的硕士和博士生，要求有理想求上进。

同时团队欢迎浙师大本科生进组学习，要求有决心进行高质量的研究。

科研项目

国家自然科学基金青年项目   基于鲁棒信息增强的多模态社交推荐及其可解释性研究，主持

已发表论文

2026

[Information Processing & Management] Gang-Feng Ma, Xilin Wen, Xu-Hua Yang, Yanbo Zhou, Wei Huang, Xiao-Xin Li, Peng Jiang. Robust drug recommendation based on patient status awareness and unbiased prediction (中科院1区Top)

[Computer Science Review] Yanbo Zhou, Gang-Feng Ma, Xilin Wen, Xu-Hua Yang*, Yi-Cheng Zhang. Sequential recommender systems: A methodological taxonomy and research frontiers (中科院1区Top)

[Knowledge-Based Systems] Xu-Hua Yang, Zhen-Lei Huang, Gang-Feng Ma*, Jia-Ning Xu. Dual-Track Diffusion: Structure-Guided High Fidelity Denoising for Social Recommendation (中科院1区Top)

[IEEE TCSS] Gang-Feng Ma, Xu-Hua Yang*, Xilin Wen, Yanbo Zhou, Haixia Long, Wei Huang. Contrastive Deep Fusion-based Diffusion Multi-view Drug Recommendation (中科院2区)

[AAAI] Weiyi Ye, Xu-Hua Yang*, Dong Wei, Gang-Feng Ma, Yujiao Huang, Xiao-Xin Li. HyperSign: Saliency-Aware Spatial Graphs and Temporal Hypergraphs for Continuous Sign Language Recognition (CCF A)

[Pattern Recognition] Hong-Xiang Hu, Dong Wei, Xu-Hua Yang*, Gang-Feng Ma, Sheng Liu, Yuan Feng, Yong Wang. SignDAGC: Dynamic Axial Graph Structure for Continuous Sign Language Recognition and Translation (中科院1区Top)

[Information Processing & Management] Xilin Wen, Xu-Hua Yang*, Gang-Feng Ma. ConDiff: Conditional Graph Diffusion Model for Recommendation (中科院1区Top)

[ICASSP] Weiyi Ye, Xu-Hua Yang*, Gang-Feng Ma, Dong Wei, Sheng Liu, Yuan Feng. SAKA: Spatially-adaptive and Keyframe-anchored Graph Network for Continuous Sign Language Recognition (CCF B)

[IEEE TCSS] Xu-Hua Yang, Ming-Liu Wu, Hang Luo, Shi-Xing Zhou, Gang-Feng Ma, Peng Jiang. Knowledge-Aware Prompt-Tuning for Integrated Conversational Recommender System (中科院2区)

2025

[IEEE TCSS] Gang-Feng Ma, Meng-Ang Chen, Xu-Hua Yang*, Xilin Wen, Haixia Long, Yujiao Huang.  Graph Contrastive Learning for Multibehavior Recommendation (中科院2区)

[IEEE TAI] Gang-Feng Ma, Xu-Hua Yang*, Haixia Long, Yujiao Huang. Similar or Related: Spectral-Based Item Relationship Mining with Graph Convolutional Network for Complementary Recommendation (CAAI B)

[IEEE TAI] Gang-Feng Ma, Xu-Hua Yang*, Peng Jiang. Correlation-guided Information Deep Fusion for Multimodal Recommendation (CAAI B)

[计算机学报] 文茜琳, 杨旭华*, 马钢峰. 基于邻域增强的图自监督推荐 (计算机三大学报之一)

[Journal of Imaging] Dong Wei*, Hongxiang Hu, Gang-Feng Ma. Part-Wise Graph Fourier Learning for Skeleton-Based Continuous Sign Language Recognition (中科院3区)

[Applied Intelligence] Xu-Hua Yang*, Tao Wang, Ji-Song Gan, Liang-Yu Gao, Gang-Feng Ma, Yan-Bo Zhou. Reinforcement Knowledge Graph Reasoning based on Dual Agents and Attention Mechanism (中科院3区)

2024

[IEEE TNSE] Gang-Feng Ma, Xu-Hua Yang*, Yanbo Zhou, Haixia Long, Wei Huang, Weihua Gong, Sheng Liu. Robust Preference-Guided based Disentangled Graph Social Recommendation (中科院1区Top)

[Neurocomputing] Gang-Feng Ma, Xu-Hua Yang*, Liang-Yu Gao, Ling-Hang Lian. Adaptive Denoising Graph Contrastive Learning with Memory Graph Attention for Recommendation (中科院2区Top)

[Neurocomputing] Gang-Feng Ma, Xu-Hua Yang*, Haixia Long, Yanbo Zhou, Xin-Li Xu. Robust social recommendation based on contrastive learning and dual-stage graph neural network (中科院2区Top)

[DMKD] Gang-Feng Ma, Xu-Hua Yang*, Wei Ye, Xin-Li Xu, and Lei Ye. Network embedding based on high-degree penalty and adaptive negative sampling (CCF B)

[Applied Intelligence] Xu-Hua Yang*, Wei D, Zhang L, Gang-Feng Ma, Xin-Li Xu, Hai-Xia Long. Task-related network based on meta-learning for few-shot knowledge graph completion (中科院3区) 

2023

[Information Sciences] Gang-Feng Ma, Xu-Hua Yang*, Yanbo Zhou, Lei Ye. Enhanced contrastive representation in network (中科院1区Top)

[IEEE TCAS-II] Xu-Hua Yang*, Gang-Feng Ma, Xiang-Yu Zeng, Yuchao Pang, Yanbo Zhou, Yu-Di Zhang, Lei Ye. Community Detection Based on Markov Similarity Enhancement (中科院2区Top)

[Applied Intelligence] Xu-Hua Yang*, Gang-Feng Ma, Xin Jin, Hai-Xia Long, Jie Xiao, and Lei Ye. Knowledge graph embedding and completion based on entity community and local importance (中科院2区)

[Pattern Recognition Letters] Xu-Hua Yang*, Gang-Feng Ma, Fang-Nan Ma, Lei Ye, Yu-Di Zhang. Attribute network joint embedding based on global attention (中科院3区)

[Peerj Computer Science] Gang-Feng Ma, Xu-Hua Yang*, Yue Tong, Yanbo Zhou. Graph neural networks for preference social recommendation (中科院3区)

Before 2023

[ICONIP] Gang-Feng Ma, Xu-Hua Yang*, Lei Ye, Yu-Jiao Huang, and Peng Jiang. Graph Convolutional Network Based on Higher-Order Neighborhood Aggregation (CCF C)

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