高旻，女，博士，現任重慶大學大數據與軟件學院教授、博士生導師。
人物履歷
現任重慶大學大數據與軟件學院教授、博士生導師；IEEE、中國計算機學會中國計算機學會夏培肅獎、中國人工智能學會CAAI會員，CCF服務計算專委會委員，CCF軟件工程專委會通信委員，CAAI青年工作委員會委員；美國亞利桑那州立大學訪問學者(合作導師：Huan Liu教授)、雷丁大學訪問學者(合作導師：Kecheng Liu教授)。
研究領域
推薦系統、異常檢測、社會媒體挖掘。
學術成果
截至2024年6月，高旻作為項目負責人承擔國家自然科學基金項目2項、國家重點研發項目子課題、重慶市自然科學基金2項、中國博士后基金面上項目1項，以主研身份參加國家973計劃項目、國家重點研發計劃項目、國家科技支撐計劃項目、國家自然科學基金項目等多項；以第一作者或通訊作者發表學術論文50余篇，并擔任多個國際權威期刊和會議評審人，CIKM、IJCAI 、AAAI等會議的PC Member。
研究課題
[1] 國家自然科學基金面上項目，基于域自適應與多任務序列關系感知的謠言應對研究，62176028，主持
[2] 國家自然科學基金青年基金，基于用戶可信度的抗托攻擊協同過濾推薦機理研究，71102065，主持
[3] 重慶市自然科學基金，多模態特征下對抗-增量式的社交網絡不良言論用戶檢測研究，cstc2020jcyj-msxm2711，主持
[4] 中國博士后基金，基于項目時間序列異常檢測的抗攻擊協同過濾推薦研究，2012M521680，主持
[5] 重慶市前沿與應用基礎研究計劃項目，基于多維社交關系挖掘的抗干擾社會化推薦研究，cstc2015jcyjA40049，主持
[6] 中央高校基金重點項目，多視圖協同訓練的托攻擊檢測研究，106112014CDJZR095502，主持
[7] 微波源功率實時智能控制理論與控制方法，科技部國家基礎研究規劃項目(973計劃)，主研
[8] 在線交易可靠性監測與分析技術研究，科技部國家科技支撐計劃項目，主研
科研項目
QRec - 推薦算法實驗平臺
Yue - 音樂推薦算法實驗平臺
ARLib - 數據污染攻擊實驗平臺
SDLib - 托攻擊檢測實驗平臺
Datasets - 數據集
發表論文
會議論文
[41] Yinqiu Huang,? Wang, Min Gao*, et al. Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent 推銷理論 Companion Proceedings of the ACM Web Conference 2024. (WWW, CCF A)[數據]
[40] Wentao Li, Maolin Cai, Min Gao, 越南盾 Wen, Lu Qin, Wei 汪姓 Expanding Reverse Nearest Neighbors. PVLDB, 17(4): 630 - 642, 2023. (VLDB, CCF A)[code]
[39] Junwei Yin, Min Gao*, Kai Shu, Jia Wang, Yinqiu Huang, and Wei Zhou. Fine-Grained Discrepancy Contrastive Learning For Robust Fake News Detection. IEEE International Conference on 聲學, Speech and Signal Processing. (ICASSP 2024, CCF B)
[38] Yunhang Yao, Min Gao*, Hongwei Zhou, Zongwei Wang, Zehua Zhao, and Qingyu Xiong. Ranking Enhanced Fine-grained Contrastive Learning For Recommendation. IEEE International Conference on 聲學, Speech and Signal Processing. (ICASSP 2024, CCF B)
[37]?Zongwei Wang, Min Gao*, Wentao Li*, Junliang Yu, Linxin Guo, and Hongzhi Yin. Efficient Bi-Level Optimization for 推薦信 Denoising. Association for Computing Machinery's Special Interest Group on Knowledge Discovery and 數據 Mining. (SIGKDD 2023, CCF A)[code]
[36]?Chaoran Zhang, Min Gao*, Yinqiu Huang, Feng Jiang, Jia Wang, and Junhao Wen, DAAL: 論域 Adversarial Active Learning Based on Dual Features for Rumor Detection.?The 12th CCF International Conference on Natural Language Processing and 漢語詞類 Computing. (NLPCC 2023, CCF C)
[35] Wentao Li, Min Gao*, Dong Wen, Hongwei Zhou, Cai Ke, and Lu Qin. Manipulating Structural Graph Clustering. The 38th IEEE International Conference on 數據 Engineering. (ICDE 2022, CCF A).
[34] Liang Zhao, Min Gao*, and Zongwei Wang. ST-GSP: Spatial-Temporal Global Semantic 表征 Learning for Urban Flow Prediction. International Conference on Web Search and 數據 Mining. International Conference on Web Search and Data Mining (WSDM 2022, CCF B), Phoenix, Arizona, USA, 2022.[林克][code]
[33] Junwei Zhang, Min Gao*, Junliang Yu, Lei Guo, and Jundong Li. Double-Scale Self-Supervised Hypergraph Convolutional Network for 基團 Recommendation. The ACM International Conference on Information and Knowledge Management (CIKM 2021, CCF B), Queensland, Australia, November 2021. [link][code]
[32] Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, and Quoc Viet Hung Nguyen. Socially-Aware Self-Supervised 三角座Training for Recommendation. The 27th ACM SIGKDD Conference On Knowledge Discovery and 數據 Mining (KDD 2021, CCF A), Singapore. August 2021. [link] [code]
[31] Wentao Li, Min Gao*, Fan Wu, Wenge Rong, Junhao Wen, and Lu Qin. Manipulating Black-Box Networks for Centrality Promotion. The 37th IEEE International Conference on 數據 Engineering. (ICDE 2021, CCF A).
[30] Shiqi Wang, Min Gao*, Zongwei Wang, Jia Wang, Fan Wu, and Junhao Wen. Fine-Grained Spatial-Temporal 表征 Learning with Missing Data Completion for Traffic Flow Prediction. International Conference on Collaborative Computing: Networking, Applications and Worksharing. (CollaborateCom, CCF C)
[29] Yinqiu Huang, Min Gao*, Jia Wang, and Kai Shu. DAFD: Domain Adaptation Framework for Fake News Detection. International Conference on Neural Information Processing. (ICONIP 2021, CCF C)
[28] Meiling Chao, Min Gao*, Junwei Zhang, et al. PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems. International Conference on Collaborative Computing: Networking, Applications and Worksharing. (CollaborateCom, CCF C)
[27] Runsheng Wang, Min Gao*, Junwei Zhang, and Quanwu Zhao. JUST-BPR: Identify Implicit Friends with Jump and Stay for Social. The 27th International Conference on Neural Information Processing. (ICONIP 2020, CCF C)
[26] Zehua Zhao, Min Gao*, Fengji Luo, Yi Zhang, and Qingyu Xiong. LSHWE: Improving Similarity-Based Word Embedding with Locality Sensitive Hashing for Cyberbullying Detection. International Joint Conference on Neural Networks. (IJCNN 2020, CCF C) [code]
[25] Jia Wang, Min Gao*, Zongwei Wang, Runsheng Wang, and Junhao Wen. Robustness Analysis of Triangle Relations Attack in Social Recommender Systems. IEEE Cloud 2020 (中國計算機學會夏培肅獎 C)
[24] Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, and Qinyong Wang. Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. The 19th IEEE International Conference on 數據 Mining. (ICDM 2019, CCF B) ?[code]
[23] Zongwei Wang, Min Gao*, Xinyi Wang, Junliang Yu, Qingyu Xiong, and Junhao Wen. A Minimax Game for Generative and Discriminative Sample Models in 推薦信 Systems. The 23rd Pacific-Asia Conference on Knowledge Discovery and 數據 Mining. (PAKDD 2019, 中國計算機學會夏培肅獎 C) ?[code].
[22] Junwei Zhang, Min Gao*, Junliang Yu, Xinyi Wang, Yuqi Song, and Qingyu Xiong. Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation. 2019 International Joint Conference on Neural Networks. (IJCNN 2019, CCF C) ?[code].
[21] Zhenni Lu, Min Gao*, Xinyi Wang, Junwei Zhang, Haider Ali, and Qingyu Xiong. SRRL: Select Reliable Friends for Social 推薦信 with Reinforcement Learning. The 26th International Conference on Neural Information Processing. ?(ICONIP 2019, CCF C) ?[code]
[20] Xinyi Wang, Min Gao*, Zhenni Lu, Zongwei Wang, Junwei Zhang, and Yi Zhang. DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation. The 26th International Conference on Neural Information Processing. ?(ICONIP 2019, CCF C) ?[code]
[19] Junliang Yu, Min Gao*, Jundong Li, Hongzhi Yin, and Huan Liu. Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. The 27th ACM International Conference on Information and Knowledge Management. ?(CIKM 2018, 中國計算機學會夏培肅獎 B) ?[code].
[18] Fan Yang, Min Gao*, Junliang Yu, Yuqi Song, and Xinyi 汪姓 Detection of Shilling Attack Based on Bayesian Model and User Embedding. The IEEE 29th International Conference on 工器具 with Artificial Intelligence. (ICTAI 2018, CCF C) ?[code]
[17] Yuqi Song, Min Gao*, Junliang Yu, and Qingyu Xiong. Social 推薦信 Based on Implicit Friends Discovering via 后設Path. The IEEE 29th International Conference on 工器具 with Artificial Intelligence. (ICTAI 2018, 中國計算機學會夏培肅獎 C)
[16] Siqi Xiang, Wenge Rong, Zhang Xiong, Min Gao, Qingyu Xiong. Visual and Audio Aware Bi-Modal Video Emotion Recognition, Proceedings of the 39th Annual Meeting of the Cognitive Science Society (CogSci 2017, CCF B)
[15] Yuqi Song, Min Gao*, Junliang Yu, Wentao Li, Junhao Wen, and Qingyu Xiong. PUD: Social Spammer Detection Based on PU Learning. International Conference on Neural Information Processing. Springer, 2017.11 (ICONIP 2017, CCF C).
[14] Junliang Yu, Min Gao*, Wenge Rong, Yuqi Song, Qianqi Fang, Qingyu Xiong. Make Users and Preferred Items Closer: 推薦信 via Distance Metric Learning. International Conference on Neural Information Processing. Springer, 2017.11 (ICONIP 2017, CCF C).
[13] Junliang Yu, Min Gao*, Yuqi Song, Zehua Zhao, Wenge Rong, & Qingyu Xiong. Connecting 因式分解 and Distance Metric Learning for Social Recommendations. Knowledge Science, Engineering and 管理學, Springer, 墨爾本, Australia, 2017.08 (KSEM 2017, CCF C).
[12] Nan Jiang, Wenge Rong, Min Gao, Yikang Shen, Zhang Xiong. Exploration of tree-based hierarchical Softmax for recurrent language models. In Twenty-Sixth International Joint Conference on Artificial Intelligence 2017,07 (IJCAI 2017, CCF A).
[11] Wentao Li, Min Gao*, Wenge Rong, Junhao Wen, Qingyu Xiong, Ruixi Jia and Tong Dou. Social 推薦信 Using Euclidean Embedding, 2017 International Joint Conference on Neural Networks (IJCNN), IEEE, Alaska, USA, 2017.05. (IJCNN 2017, CCF C) ?[code]
[10] Xiang Li, Min Gao*, Wenge Rong, Qingyu Xiong, and Junhao Wen. Shilling Attacks Analysis in Collaborative Filtering Based Web 送達 Recommendation Systems, 2016 IEEE International Conference on Web Services (ICWS), San Francisco, US, 2016.06. (ICWS 2016, CCF B)
[09] Wentao Li, Min Gao*, Hua Li, Qingyu Xiong, Junhao Wen, and Zhongfu 吳語 Dropout Prediction in MOOCs Using Behavior Features and Multi-view Semi-supervised Learning, International Joint Conference on Neural Networks, IEEE, 溫哥華, Canada, 2016.07. (IJCNN 2016, CCF C)
[08] Wentao Li, Min Gao*, Wenge Rong, Junhao Wen, Qingyu Xiong, and Bin Ling. LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning, International Conference on Knowledge Science, Engineering and Management (KSEM), 2016, Springer, Passau, German. 2016.10. (KSEM 2016, CCF C)
[07] Feng Jiang, Min Gao*, Qingyu Xiong, Junhao Wen, and Yi Zhang. Robust Social 推薦信 Techniques: A Review, Lecture Notes in 計算機 Science, the 17th International Conference on Informatics and 符號學 in Organisations (ICISO), S?o Paulo, Brazil, 2016.08. (EI)
[06] Liyan Cui, Min Gao, Qingyu Xiong, Junhao Wen, and Ning Xie. 溫度 Monitoring Based on 意象 Processing for Intelligent 微波 Heating, Proceedings of the 2015 27th 漢語詞類 監察 and Decision Conference, CCDC 2015, Qingdao, China, 2015.07. (EI)
[05] Min Gao* and Zhongfu 吳語 EPN-based method for web 送達 composition. Lecture Notes in 計算機 Science, 2009, 5854: 345-354. (EI)
[04] Min Gao* and Zhongfu Wu. Personalized Context-aware Collaborative Filtering based on Neural Network and 斜率 One, Lecture Notes in Computer Science, 2009, 5738: 109-116. (EI)
[03] Min Gao* and Zhongfu 吳語 Incorporating pragmatic information in personalized 推薦信 systems, The 11th International Conference on Informatics and 符號學 in Organisations, 2009, Beijing, China, 156-164. (EI)
[02] Min Gao*, Zhongfu Wu, and Kecheng Liu. Pragmatic Grid for personalized 資源 provision, IEEE International Conference on Service Operations and Logistics, and Informatics, 2008: 1023-1028. (EI)
[01] Min Gao*, et al., An EPN-based method for web service composition, in Proceedings of the 2008 IEEE International Conference on Networking, Architecture, and Storage, 2008: 163-164. (EI)
期刊論文
[34] Yinqiu Huang, Min Gao*, Kai Shu, Chenghua Lin, Jia Wang, Wei Zhou.?EML: Emotion-Aware 后設 Learning for Cross-Event False Information Detection. ACM Transactions on Knowledge Discovery from 數據, 2024 (SCI, CCF B)?
[33]?Yujiang Wu, Min Gao*, Ruiqi Liu, Jie Zeng, Quanwu Zhao, Jinyong Gao, Jia Zhang. Multi-時間 Scale Aware 宿主 Task Preferred Learning for WEEE Return Prediction. Expert Systems With Applications, 2024,? 238, 122160?(SCI JCR Q1) [link]
[33] Shiqi Wang, Chongming Gao, Min Gao*, Junliang Yu, Zongwei Wang, Hongzhi Yin. Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion. IEEE Transactions on Big 數據 (TBD), 2023, 9(2): 746-757 (SCI JCR Q1) [link][code]
[32] Yinqiu Huang, Min Gao*, Jia Wang, Junwei Yin, Kai Shu, Qilin Fan, Junhao Wen. 后設Prompt Based Learning for Low-資源 False Information Detection. Information Processing and Management (IPM), 2023, 60(3): 103279 (SCI JCR Q1)?[link]
[31] Jia Wang, Min Gao*, Yinqiu Huang, Kai Shu, Hualing Yi. FinD: Fine-Grained Discrepancy-Based Fake News Detection Enhanced by Event Abstract Generation.?計算機 Speech & Language (CSGO超級聯賽), 2023, 78: 101461.?(SCI JCR Q3)?[link]
[30] 曹陽, 高旻*, 余俊良, 范琪琳, 榮文戈, 文俊浩. 基于雙圖混合隨機游走的社會化推薦模型. 電子學報, 2023, 51(2): 286-296. DOI: 10.12263/DZXB.20210504. (CCF A) [link]
[29] Jia Zhang, Min Gao*, Liang Zhao, Jiaqi Hu, Jinyong Gao, Meiling Deng, Chao Wan, Linda Yang. Multi-時間 Scale Attention Network for WEEE Reverse Logistics Return Prediction, Expert Systems With Applications, 2023, 2011: 118610. (SCI JCR Q1) [link][code]
[28] Lin Peng, Huan Wu, Min Gao*, Hualing Yi, Qingyu Xiong, Linda Yang, Shuiping 成姓 TLT: Recurrent fine-tuning transfer learning for H?O quality long-term prediction. Water Research. 2022(225): 119171. (SCI JCR Q1) [link]
[27] Yinghui Tao, Min Gao*, Junliang Yu, Zongwei Wang, Qingyu Xiong, and Xu 汪姓 Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation. IEEE Transactions on Computational Social Systems, 2022. (SCI JCR Q2) [link][code]
[26] 張帥, 高旻*, 文俊浩, 熊慶宇, 唐旭 基于自監督學習的去流行度偏差推薦方法. 電子學報, 2022, 50(10): 2361-2371. DOI: 10.12263/DZXB.20210443. (CCF A) [link]
[25] Zongwei Wang, Min Gao*, Jundong Li, Junwei Zhang, and Jiang Zhong. Gray-Box Shilling Atack: An Adversarial Learning Approach. ACM Transactions on Intelligent Systems and Technology, 2022, 13(5): 82 (1-21). (SCI JCR Q1)[link]
[24] Jia Wang, Min Gao*, Zongwei Wang, Chenghua Lin, Wei Zhou, and Junhao Wen. Ada: Adversarial Learning Based 數據 Augmentation for Malicious Users Detection. Applied Soft Computing, 2022 (117) 108414. (SCI JCR Q1) [link][code]
[23] Hao Li, Min Gao*, Fengtao Zhou, Yueyang Wang, Qilin Fan, and Linda Yang. Fusing Hypergraph Spectral Features for Shilling Attack Detection, Journal of Information 證券 and Applications, 63 (2021) 103051: 1-10. SCI JCR Q2 CCF C)[link][code]
[22] Fan Wu, Min Gao*, Junliang Yu, Zongwei Wang, Kecheng Liu, and Xu Wang. Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack. Information Sciences, 2021, 578: 683-701. (SCI JCR Q1 CCF B) [link][code]
[21] AmritaBhattacharjee, 舒凱, 高旻*, 劉歡 網絡信息生態系統中的虛假信息：檢測、緩解與挑戰. 計算機研究與發展, 2021, 58 (7): 1353-1365. (CCF A) [link][專知]
[20] Junwei Zhang, Min Gao*, Junliang Yu, Linda Yang, Zongwei Wang, and Qingyu Xiong. Path-based Reasoning over Heterogeneous Networks for 推薦信 via Bidirectional Modeling. Neurocomputing, 2021, 461(10), 438-449. (SCI JCR Q1 CCF C) [link][code]
[19] Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, and Lizhen Cui. Enhancing Social Recommendation with Adversarial Graph Convolutional Networks. IEEE Transactions on Knowledge and 數據 Engineering (TKDE)（In press）(SCI JCR Q1 CCF A) [link]
[18] Chao Wu, Qingyu Xiong, Min Gao, Qiude Li, Yang Yu, and Kaige Wang. A Relative Position Attention Network for Aspect-Based Sentiment Analysis. Knowledge and Information Systems (KAIS) (2020): 1-15 (SCI JCR Q1 CCF B) [link]
[17] Min Gao1, Junwei Zhang1, Junliang Yu, Jundong Li, Junhao Wen, and Qingyu Xiong. Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. Information Sciences, 2021 (546):1166-1185.(SCI 中國科學院星一區 JCR Q1 CCF B) ?[link]
[16] 宋宇琦, 高旻*, 李駿東, 榮文戈, 熊慶宇 網絡欺凌檢測綜述. 電子學報, 2020, 48(6): 1220-1229. (CCF A)
[15] Min Gao*, Bin Ling, Linda Yang, Junhao Wen, Qingyu Xiong, and Shun Li. From Similarity 透視: A Robust Collaborative Filtering Approach for Service 推薦信s. Frontiers of 計算機 Science (中國計算機科學前沿:英文版), 2019(2): 1-16. (SCI CCF C)
[14] Junliang Yu, Min Gao*, Wenge Rong, Wentao Li, Qingyu Xiong, and Junhao Wen. Hybrid Attacks on Model-Based Social Recommender Systems. Physica A Statistical Mechanics & Its Applications, 2017 (483): 171-181. (SCI impact factor：2.132)
[13] Min Gao*, Xiang Li, Wenge Rong, Lulan Yu, Xinyu Xiao, Junhao Wen, and Qingyu Xiong. The 表演 of Location Aware Shilling Attacks in Web Service 推薦信, International Journal of Web Services Research, 2017, 14(3): 53-66. (SCI)
[12] Wentao Li, Min Gao*, Hua Li, Jun Zeng, Qingyu Xiong, and Sachio Hirokawa. Shilling Attack Detection in Recommender Systems via Selecting Patterns Analysis, IEICE Transactions on Information and System, 2016, E99–D (10): 2600-2611. (SCI) ?[code]
[11] 譚侃, 高旻*, 李文濤, 田仁麗, 文俊浩, 熊慶宇, 基于雙層采樣主動學習的社交網絡虛假用戶檢測方法. 自動化學報, 2017, 43(3): 436-449. (EI)
[10] 李文濤, 高旻*，李華，熊慶宇，文俊浩，凌斌, 一種基于流行度分類特征的托攻擊檢測算法. 自動化學報, 2015 41 (9): 1563-1576. (EI)
[09] Hui Xia, Bin Fang, Min Gao, Hui Ma, Yuanyan Tang, and Jing Wen. A ?novel item anomaly detection approach against shilling attacks in collaborative 推薦信 systems using the dynamic 時間 區間 segmentation technique, Information Sciences 306 (2015): 150-165. (SCI CCF B, IF: 4.305)
[08] Feng Jiang, Min Gao*, and Hui Xia. An Evaluation Approach Based on Word-of-嘴巴 for Trust Models in 推薦信 Systems, 計算機 Modelling and New Technologies, 2014, 18(11): 605-609. (EI)
[07] Min Gao*, Yunqing Fu, Yixiong Chen, and Feng Jiang. User-Weight Model for itembased Recommendation Systems, Journal of 軟件, 2012, 7(9): 2133-2140. (EI)
[06] Min Gao*, Yue Ma, Qingyu Xiong, Junhao Wen, Huixi Tan, and Chengliang Wang. Construction and Implementation of Surveillance System for Software Engineering Oriented Trainings, International Review on Computers and 軟件, 2012, 7(4): 1855-1859. (EI)
[05] Min Gao*, Zhongfu Wu, and Feng Jiang. Userrank for itembased collaborative filtering recommendation. Information Processing Letters 111, no. 9 (2011): 440-446. (SCI CCF C)
[04] Min Gao*, Zhongfu Wu, and Feng Jiang. An Anti-"Shilling Attacks" Collaborative Filtering Algorithm Based on User Trust Ranks and Items, Journal of Chongqing University (Natural Science) 重慶大學學報（自然科學版）, 2011, 34(5): 135-142. (In Chinese) (EI)
[03] Min Gao*, Kecheng Liu, and Zhongfu 吳語 Personalisation in web computing and informatics: Theories, techniques, applications, and future research. Information Systems Frontiers 12, no. 5 (2010): 607-629. (SCI IF：3.232)
[02] Min Gao* and Zhongfu 吳語 Incorporating Personalized Contextual Information in itembased Collaborative Filtering Recommendation. Journal of Software. 2010, 5(7): 729-736. (EI)
[01] Min Gao and Zhongfu Wu*. Personalized context and item based collaborative filtering recommen,dation, Journal of Southeast University (Natural Science) 東南大學學報（自然科學版）, 2009, 9(39): 27-31. (In Chinese) (EI)
持有專利
[09] 高旻, 黃胤秋,殷俊偉,王佳,熊慶宇,王悅陽,范琪琳. 基于情緒感知元學習的跨事件虛假新聞檢測方法. 202310310495.7
[08] 高旻, 殷俊偉,郭林昕,黃胤秋,江峰,熊慶宇. 一種基于讀者行為模擬的虛假新聞檢測方法及設備 202310685289.4
[07] 高旻, 趙亮等. 一種面向區域流量預測的時空全局語義表示學習方法. 202210135460.X
[06] 高旻, 武宇江. 一種基于多時間尺度的主任務優先預測方法. 202310381960.6
[05] 高旻, 劉瑞奇等. 雙重遷移的預測模型生成方法及廢舊家電回收量預測方法. 202310462176.8
[04] 高旻, 張甲等. 基于多時間尺度注意力網絡的廢舊家電回收量預測方法. 202210642950.9
[03] 高旻，張峻偉等. 一種基于對抗學習與雙向長短期記憶網絡的推薦算法202010903794.8
[02] 趙澤華，高旻等. 一種網絡欺凌檢測方法. 202010083486.5
[01] 李文濤，高旻等. 一種基于流行度分類特征的托攻擊檢測算法. 201510238156.8
參考資料 >
高旻.重慶大學大數據與軟件學院.2024-06-15