简 介
黄斐然,暨南大学网络空间安全学院教授、博导,暨南大学计算传播研究中心副主任、网络与教育技术中心副主任,广东省青年拔尖人才。兼任广东公安信息化专家、广东省数字政府改革建设专家、广东省公安科技协同创新中心专家咨询委员会委员。主要研究方向为社交网络挖掘、舆情大数据分析。在领域内权威会议与期刊SIGIR、KDD、WWW、ACL、MM、IEEE TKDE、IEEE TIP、IJCV等发表论文90 余篇。其中,以第一/通讯作者发表CCF A 类或中科院一区论文20余篇,影响因子共计200以上。获得CCF A类会议SIGIR 2023最佳论文荣誉提名(一作,2/165)、CCF C类会议PAKDD 2023最佳论文亚军、智能计算与控制国际会议(IC&C 2023)最佳论文等奖。
主持/负责国家自然科学基金3项、国家社科基金重大项目子课题1项、中央部委重大委托项目1项,主持广东省基金、教育部委托、省公安厅委托等项目10余项。授权国家发明专利30余项、美国发明专利4项、软件著作权5项,获得日内瓦国际发明展金奖。研究成果为科学有效抗击新冠肺炎提供支持,且为二十大、中国航展等多项重大活动的安保工作提供技术支撑,受到了公安、教育部等有关部门的专函致谢。研发的技术成功落地应用于腾讯、阿里、海康威视、大华、字节跳动、拓尔思等十余家互联网领军企业以及中电科、省公安厅等国家重要单位。
自主研发某大数据分析平台,构建了舆情分析与态势感知系统、知识图谱分析系统等10余个子系统,积累行业、媒体、网安等多种类型的数据400多亿条,成功服务于多个中央部委部门。个人撰写的网安分析、舆情分析等研究专报获得60余篇次批示与采纳,其中中央领导批示6篇次,中办、中宣部等部门和省部级领导采纳批示40余篇次。
基本信息
名称:黄斐然
职称:教授、博导
研究方向:人工智能,社交网络挖掘,舆情大数据分析
电邮:huangfr@jnu.edu.cn
教育背景
2014.9–-2019.1,北京航空航天大学,计算机学院,博士。 导师:李舟军
2012.9–-2014.6,北京航空航天大学,计算机学院,硕士(转博)。 导师:曹庆华
2007.9–-2011.7,中南大学,物理学院,学士
工作经历
2019.02--至今,暨南大学,网络空间安全学院,讲师、副教授、教授
2021.06--至今,暨南大学,计算传播研究中心,副主任
2023.09--至今,暨南大学,网络与教育技术中心,副主任
讲授课程
《机器学习》
《人工智能》
《学术论文写作与规范》
招生意向
对人工智能、社交网络挖掘、多媒体安全、智慧教育有兴趣,勤奋、积极向上的的研究生与本科学生。
研究论文
代表性科研成果:
2024年:
[1] Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang*, Senzhang Wang, Xiao Huang: Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. WWW 2024 (CCF A 类会议)
[2] Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang*, Xiao Huang: Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. KDD 2024 (CCF A 类会议)
[3] Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang*, Xiao Huang: Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM. ACL 2024 Findings.
[4] Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim: High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. WWW 2024 (CCF A 类会议)
[5] Liwen Zheng, Chaozhuo Li, Xi Zhang, Yu-Ming Shang, Feiran Huang, Haoran Jia: Evidence Retrieval is almost All You Need for Fact Verification. ACL 2024 Findings.
[6] Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Xi Zhang, Senzhang Wang, Feiran Huang and Sunghun Kim: TransGNN: Harnessing the Collaborative Power of Transformer and Graph Neural Network for Recommender Systems. SIGIR 2024 (CCF A 类会议)
[7] Liang-bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xu Xin, Hao Chen, Feiran Huang: CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent. KDD 2024 (CCF A 类会议)
[8] Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li: Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection. AAAI 2024 (CCF A 类会议)
[9] Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim: GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. SIGIR 2024 (CCF A 类会议)
[10] Litian Zhang, Xiaoming Zhang, Chaozhuo Li, Ziyi Zhou, Jiacheng Liu, Feiran Huang, Xi Zhang: Mitigating Social Hazards: Early Detection of Fake News via Diffusion-Guided Propagation Path Generation. ACM MM 2024 (CCF A 类会议)
[11] Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang and Feiran Huang*: Feedback Reciprocal Graph Collaborative Filtering. CIKM 2024. (CCF B 类会议)
[12] Shuyuan Lin, Xiao Chen, Guobao Xiao, Hanzi Wang, Feiran Huang*, Jian Weng*: Multi-Stage Network With Geometric Semantic Attention for Two-View Correspondence Learning. IEEE Transactions Image Processing (2024) (中科院一区,CCF A 类,IF: 10.856)
[13] Qihua Feng, Peiya Li*, Zhixun Lu, Chaozhuo Li, Zefang Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang*, Jian Weng. Evit: Privacy-preserving image retrieval via encrypted vision transformer in cloud computing. IEEE Transactions on Circuits and Systems for Video Technology (2024). (中科院一区,IF:8.3)
[14] Shuyuan Lin, Feiran Huang, Taotao Lai, Jianhuang Lai, Hanzi Wang, Jian Weng: Robust Heterogeneous Model Fitting for Multi-source Image Correspondences. International Journal of Computer Vision (2024) (中科院一区,CCF A,IF: 11.6)
2023年:
Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen: Aligning Distillation For Cold-start Item Recommendation. SIGIR 2023: 1147-1157 (CCF A类会议, Best Paper Award Honorable Mention)
Yue Xu*, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang*, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu: Multi-factor Sequential Re-ranking with Perception-Aware Diversification. KDD 2023: 5327-5337 (CCF A类会议)
Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong: Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. SIGIR 2023: 1488-1497 (CCF A类会议)
Yingze Xie, Jie Xu, LiQiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li: Generative Sentiment Transfer via Adaptive Masking. PAKDD (4) 2023: 198-209 (CCF C类会议, Best Paper Runner Up Award)
Hongshuang Hu, Yongdong Wu, Jian Weng, Kaimin Wei, Zhiquan Liu, Feiran Huang, Yinyan Zhang: Attacks on Acceleration-Based Secure Device Pairing With Automatic Visual Tracking. IEEE Trans. Inf. Forensics Secur. 18: 3991-4005 (2023) (CCF A类期刊, 中科院一区, IF: 6.8 )
Jingjing Guo, Zhiquan Liu, Siyi Tian, Feiran Huang, et al. TFL-DT: A Trust Evaluation Scheme for Federated Learning in Digital Twin for Mobile Networks. IEEE Journal on Selected Areas in Communications (2023). (CCF A类期刊, 中科院一区, IF: 16.4)
Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou*, Feiran Huang*.: Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. CIKM 2023 (CCF B类会议)
Jie Xu, Chaozhuo Li, Feiran Huang, et al. Sinkhorn Distance Minimization for Adaptive Semi-Supervised Social Network Alignment. IEEE Transactions on Neural Networks and Learning Systems (2023). (CCF B类期刊, 中科院一区, IF: 14.225)
2022年:
Hao Chen, Zefan Wang, Feiran Huang*, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li: Generative Adversarial Framework for Cold-Start Item Recommendation. SIGIR 2022: 2565-2571 (CCF A类会议)
Yun Liu, Xiaoming Zhang, Feiran Huang*, Bo Zhang, Zhoujun Li: Cross-Attentional Spatio-Temporal Semantic Graph Networks for Video Question Answering. IEEE Trans. Image Process. 31: 1684-1696 (2022) (CCF A类期刊, 中科院一区, IF: 11.041 )
Jie Xu, Zhoujun Li, Feiran Huang*, Chaozhuo Li, Philip S. Yu: Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks. IEEE Trans. Cybern. 52(6): 4472-4484 (2022) (CCF B类期刊, 中科院一区, IF: 19.118 )
Bo Zhang, Xiaoming Zhang, Feiran Huang, Ming Lu, Shuai Ma: Deep Kernel Network Embedding. IEEE Trans. Knowl. Data Eng. 35(6): 5710-5723 (2023) (CCF A类期刊, 中科院一区, IF: 8.9 )
Jingjing Guo, Huamin Gao, Zhiquan Liu, Feiran Huang, Junwei Zhang, Xinghua Li, Jianfeng Ma: ICRA: An Intelligent Clustering Routing Approach for UAV Ad Hoc Networks. IEEE Trans. Intell. Transp. Syst. 24(2): 2447-2460 (2023) (CCF B类期刊, 中科院一区, IF:9.551 )
Yun Liu, Xiaoming Zhang, Feiran Huang, Shixun Shen, Peng Tian, Lang Li, Zhoujun Li: Dynamic self-attention with vision synchronization networks for video question answering. Pattern Recognit. 132: 108959 (2022) (CCF B类期刊, 中科院一区, IF:8.518 )
2021年及以前:
Feiran Huang, Xiaoming Zhang, Jie Xu, Zhonghua Zhao, Zhoujun Li: Multimodal Learning of Social Image Representation by Exploiting Social Relations. IEEE Trans. Cybern. 51(3): 1506-1518 (2021) (CCF B类期刊, 中科院一区, IF: 19.118 )
Feiran Huang, Alireza Jolfaei, Ali Kashif Bashir: Robust Multimodal Representation Learning With Evolutionary Adversarial Attention Networks. IEEE Trans. Evol. Comput. 25(5): 856-868 (2021) (CCF B类期刊, 中科院一区, IF: 16.497 )
Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu: Hubness-aware User Identity Linkage. CIKM 2021: 3196-3200(CCF B类会议)
Zhiquan Liu, Jianfeng Ma, Jian Weng, Feiran Huang*, et al: LPPTE: A lightweight privacy-preserving trust evaluation scheme for facilitating distributed data fusion in cooperative vehicular safety applications. Information Fusion 73: 144-156 (2021) (CCF B类期刊, 中科院一区, IF: 17.564 )
Yun Liu, Xiaoming Zhang, Qianyun Zhang, Chaozhuo Li, Feiran Huang, Xianghong Tang, Zhoujun Li: Dual self-attention with co-attention networks for visual question answering. Pattern Recognit. 117: 107956 (2021) (CCF B类期刊, 中科院一区, IF:8.518 )
Feiran Huang, Jie Xu, Jian Weng: Multi-Task Travel Route Planning With a Flexible Deep Learning Framework. IEEE Trans. Intell. Transp. Syst. 22(7): 3907-3918 (2020) (CCF B类期刊, 中科院一区, IF: 9.551 )
Yun Liu, Xiaoming Zhang, Feiran Huang, Lei Cheng, Zhoujun Li:Adversarial Learning With Multi-Modal Attention for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3894-3908 (2020) (CCF B类期刊, 中科院一区, IF: 10.451 )
Feiran Huang, Kaimin Wei, Jian Weng, Zhoujun Li: Attention-Based Modality-Gated Networks for Image-Text Sentiment Analysis. ACM Trans. Multim. Comput. Commun. Appl. 16(3): 79:1-79:19 (2020) (CCF B类期刊)
Hao Chen, Yue Xu, Feiran Huang, et al. Label-Aware Graph Convolutional Networks[C]// ACM CIKM, 2020: 1977-1980. (CCF B类会议)
Feiran Huang, Xiaoming Zhang, Zhonghua Zhao, Zhoujun Li: Bi-directional Spatial-Semantic Attention Networks for Image-Text Matching[J]. IEEE Transactions Image Processing (2019) (中科院一区,CCF A 类,IF: 10.856)
Feiran Huang, Xiaoming Zhang, Zhonghua Zhao, Jie Xu, Zhoujun Li: Image-text sentiment analysis via deep multimodal attentive fusion. Knowl. Based Syst. 167: 26-37 (2019) (中科院一区,IF:8.038)
Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, et al. Multi-Hot Compact Network Embedding[C]// ACM CIKM, 2019: 459-468. (CCF B类会议)
Feiran Huang, Xiaoming Zhang, Zhoujun Li. Learning joint multimodal representation with adversarial attention networks[C]//2018 ACM MM, 2018: 1874-1882. (CCF A类会议)
Feiran Huang, Xiaoming Zhang, Chaozhuo Li, et al. Multimodal network embedding via attention based multi-view variational autoencoder[C]// ACM ICMR. 2018: 108-116. (CCF B类会议)
Yun Liu, Xiaoming Zhang, Feiran Huang, et al. Adversarial Learning of Answer-Related Representation for Visual Question Answering[C]// ACM CIKM, 2018: 1013-1022. (CCF B类会议)
科研成果
主持/负责国家自然科学基金项目3项,国家社科基金重大项目子课题1项,中央部委重大委托项目1项,其他广东省基金、教育部委托、公安厅委托等项目10余项,代表性项目包括:
[1] 国家自然科学基金面上项目(53万,2023.01–2026.12),主持
[2] 国家自然科学基金联合重点项目(64.25万,2023.01–2026.12),合作单位负责人
[3] 国家自然科学基金青年项目(24万,2020.01–2022.12),主持
发明专利
授权国家发明专利、美国发明专利、软件著作权共40余项,获评日内瓦国际发明展金奖。代表性的专利与软著包括:
[1] 黄斐然等. 一种基于多特征异质图神经网络的社交推荐方法. 国家发明专利, 专利号: ZL202110701053.6, 授权日期: 2021.10.22, 已授权。(已转化)
[2] 黄斐然等. 一种恶劣天气情况下的图像目标检测方法、系统及设备. 国家发明专利, 专利号: ZL202310579491.9, 授权日期: 2023.09.15, 已授权。
[3] 黄斐然等. 一种基于图注意力网络的中文短文本分类方法. 国家发明专利, 专利号: ZL202011141057.5, 授权日期: 2023.08.29, 已授权。
[4] 黄斐然等. 基于YOLOv5和MobileNetV2的车辆型号识别方法. 国家发明专利, 专利号: ZL202110912415.6, 授权日期: 2023.08.01, 已授权。
[5] 黄斐然等. 基于BERT的多任务新闻分类方法及装置. 国家发明专利, 专利号: ZL202211283553.3, 授权日期: 2023.05.26, 已授权。
[6] 黄斐然等. 基于图神经网络的新闻多样性推荐方法及装置. 国家发明专利, 专利号: ZL202211283583.4, 授权日期: 2023.04.07, 已授权。
[7] 黄斐然等. 一种基于对抗训练融合BERT的微博文本情感分析方法及系统. 国家发明专利, 专利号: ZL202211321734.0, 授权日期: 2023.04.07, 已授权。
[8] 黄斐然等. 一种面向特定目标的社交媒体推文情感分析方法. 国家发明专利, 专利号: ZL202211342234.5, 授权日期: 2023.04.07, 已授权。
[9] 黄斐然等. 一种基于多层次图池化的文本情感分析方法. 国家发明专利, 专利号: ZL202110689751.9, 授权日期: 2021.10.22, 已授权。
[10] Feiran Huang, et al. Text sentiment analysis method based on multi-level graph pooling: U.S. Patent 11,687,728[P]. 2023-6-27. (美国专利,已授权)
[11] Feiran Huang, et al. Diversified recommendation method for news based on graph neural network and its device: U.S. Patent Application 18/490,920[P]. 2024-6-6. (美国专利,已授权)
[12] Feiran Huang, et al. Specific target-oriented social media tweet sentiment analysis method: U.S. Patent 11,972,218[P]. 2024-4-30. (美国专利,已授权)
[13] Feiran Huang, et al. Social recommendation method based on multi-feature heterogeneous graph neural networks: U.S. Patent 11,631,147[P]. 2023-4-18. (美国专利,已授权)
[14] 大数据调度平台V1.0. 软著登记号: 2022SR1536083. 登记日期: 2022.07.04
[15] 大数据智能采集任务系统V1.0. 软著登记号: 2022SR1534995. 登记日期: 2022.07.24
[16] 权限管理系统V1.0. 软著登记号: 2022SR1534975. 登记日期: 2022.07.04
[17] 大数据智能守护系统V1.0. 软著登记号: 2023SR0697909. 登记日期: 2023.03.20
[18] 大数据安全管控系统V1.0. 软著登记号: 2023SR0697974. 登记日期: 2023.03.20
学术服务
担任ELSEVIER 出版社SCI 期刊Computers & Electrical Engineering(JCR Q1分区,IF: 4.0)副主编
担任GLOBAL VISION 出版社EI 期刊International Journal of Multimedia and Ubiquitous Engineering编委。
担任SPRINGER 出版社SCI 期刊Multimedia Tools and Applications(JCR Q2,CCF C,IF: 3.0)客座副主编。
担任KDD、SIGIR、WWW、AAAI、IJCAI、CIKM 等10余个国际会议的程序委员会成员或审稿人,担任AIBC 2024的Technical Committee Chair。
担任IEEE TPAMI、IEEE TKDE、IEEE TOIS、IEEE TIP、IEEE T-ITS、IEEE TNNLS、IEEE TCSVT、IEEE TMM、ACM TOMM、ACM TIST等50余个国际期刊的审稿人。