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成果统计

合作作者[TOP 5]

  • 张海鹏

    合作成果数:7

  • 彭凯

    合作成果数:4

  • 潘子豪

    合作成果数:2

  • 吕世伟

    合作成果数:2

  • 柯昭如

    合作成果数:2

凌帅 硕士生
所在学院: 信息科学与技术学院
职务: --
研究方向:
备注: --
凌帅

科研成果

8 1599 9 7 0 1
Items Views Downloads TC[WOS] TC[CSCD] H-index
排序方式:
 [1] Peng, Kai,Zhang, Ying,Ling, Shuai,et al. Where Did the President Visit Last Week? Detecting Celebrity Trips from News Articles. 2023.浏览/下载:184/1; 被引[WOS]:0评论推荐收藏
 [2] Peng, Kai,Zhang, Ying,Ling, Shuai,et al. Where Did The President Visit Last Week? Detecting Celebrity Trips From News Articles[C]. Proceedings Of The Eighteenth International Aaai Conference On Web And Social Media (icwsm2024).2023-07-01,1193-1206.浏览/下载:270/7; 被引[WOS]:0评论推荐收藏
 [3] Pan, Zihao,Peng, Kai,Ling, Shuai,et al. For The Underrepresented In Gender Bias Research: Chinese Name Gender Prediction With Heterogeneous Graph Attention Network[C]. Proceedings Of The 37th Aaai Conference On Artificial Intelligence, Aaai 2023.Aaai Press.2023-06-27,14436-14443.浏览/下载:237/0评论推荐收藏
 [4] 凌帅. 基于异构图的时空建模在交通运输需求预测中的应用研究[D]. 上海. 上海科技大学. 2023-05-08.浏览/下载:31/0评论推荐收藏
 [5] Pan, Zihao,Peng, Kai,Ling, Shuai,et al. For The Underrepresented In Gender Bias Research: Chinese Name Gender Prediction With Heterogeneous Graph Attention Network[C]. Arxiv.2275 E Bayshore Rd, Ste 160, Palo Alto, Ca 94303 Usa.Assoc Advancement Artificial Intelligence.2023-02-01.浏览/下载:154/0; 被引[WOS]:0评论推荐收藏
 [6] Ling, Shuai,Yu, Zhe,Cao, Shaosheng,Zhang, Haipeng,&Hu, Simon.(2023).STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships.ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA,17(4).浏览/下载:219/0; 被引[WOS]:7; IF:4.0/3.9评论推荐收藏
 [7] Lyu, Shiwei,Cai, Hongbo,Zhang, Chaohe,et al. See Clicks Differently: Modeling User Clicking Alternatively With Multi Classifiers For Ctr Prediction[C]. International Conference On Information And Knowledge Management, Proceedings.Association For Computing Machinery.2022-10-17,4299-4303.浏览/下载:309/1; 被引[WOS]:0评论推荐收藏
 [8] Lyu, Shiwei,Ling, Shuai,Guo, Kaihao,et al. Graph Neural Network Based VC Investment Success Prediction. 2021.浏览/下载:195/0; 被引[WOS]:0评论推荐收藏