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Hengshu Zhu
Baidu
Machine learningData miningTopic modelRankingComputer scienceArtificial neural network
85Publications
20H-index
1,356Citations
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Publications 81
Newest
#1Hao Lin (Beihang University)H-Index: 5
#2Hengshu Zhu (Baidu)H-Index: 20
Last. Hui Xiong (RU: Rutgers University)H-Index: 53
view all 6 authors...
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Apr 20, 2020 in WWW (The Web Conference)
#1Chao Wang (USTC: University of Science and Technology of China)H-Index: 2
#1Chao Wang (USTC: University of Science and Technology of China)
Last. Hui Xiong (USTC: University of Science and Technology of China)H-Index: 53
view all 6 authors...
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Apr 20, 2020 in WWW (The Web Conference)
#1Le Zhang (USTC: University of Science and Technology of China)H-Index: 2
#2Tong Xu (USTC: University of Science and Technology of China)H-Index: 11
Last. Enhong Chen (USTC: University of Science and Technology of China)H-Index: 38
view all 7 authors...
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#1Hengshu Zhu (Baidu)H-Index: 20
#2Ying Sun (CAS: Chinese Academy of Sciences)H-Index: 2
Last. Hui Xiong (RU: Rutgers University)H-Index: 53
view all 6 authors...
Immediately after a destructive earthquake, the real-time seismological community has a major focus on rapidly estimating the felt area and the extent of ground shaking. This estimate provides critical guidance for government emergency response teams to conduct orderly rescue and recovery operations in the damaged areas. While considerable efforts have been made in this direction, it still remains a realistic challenge for gathering macro-seismic data in a timely, accurate and cost-effective man...
Source
#1Chuan Qin (USTC: University of Science and Technology of China)H-Index: 4
#2Hengshu Zhu (Baidu)H-Index: 20
Last. Hui Xiong (USTC: University of Science and Technology of China)H-Index: 53
view all 7 authors...
1 CitationsSource
#1Zikai Yin (USTC: University of Science and Technology of China)H-Index: 1
#2Tong Xu (USTC: University of Science and Technology of China)H-Index: 11
Last. Hui Xiong (RU: Rutgers University)H-Index: 53
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Recent years have witnessed a growing trend that offline social events are organized via online platforms. Along this line, large efforts have been devoted to recommending appropriate social events for users. However, most prior arts only pay attention to the selections of users, while the selections of events (organizers), which lead to the “two-way selection” process, are usually ignored. Intuitively, distinguishing the two-way selections in historical attendances can help us better understand...
1 CitationsSource
#2Fuzhen ZhuangH-Index: 22
Last. Qing HeH-Index: 29
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To solve the information explosion problem and enhance user experience in various online applications, recommender systems have been developed to model users preferences. Although numerous efforts have been made toward more personalized recommendations, recommender systems still suffer from several challenges, such as data sparsity and cold start. In recent years, generating recommendations with the knowledge graph as side information has attracted considerable interest. Such an approach can not...
Feb 7, 2020 in AAAI (National Conference on Artificial Intelligence)
#1Chao Wang (USTC: University of Science and Technology of China)H-Index: 2
#2Hengshu Zhu (Baidu)H-Index: 20
Last. Hui Xiong (RU: Rutgers University)H-Index: 53
view all 5 authors...
1 Citations
Feb 7, 2020 in AAAI (National Conference on Artificial Intelligence)
#1Zhao Zhang (CAS: Chinese Academy of Sciences)H-Index: 1
#2Fuzhen Zhuang (CAS: Chinese Academy of Sciences)H-Index: 22
Last. Qing He (CAS: Chinese Academy of Sciences)H-Index: 29
view all 6 authors...
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#1Xi Zhang (College of Management and Economics)H-Index: 18
#1Xi Zhang (College of Management and Economics)
Last. Hui Xiong (RU: Rutgers University)H-Index: 53
view all 5 authors...
Source
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