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Journal Articles

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2024
[j16]
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  - journals/eaai/SunZQJ24
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Chengai Sun, Sha Zhang, Liqing Qiu, Caixia Jing:
Normalized auto-encoder based on biased walk for network representation learning. Eng. Appl. Artif. Intell. 130: 107265 (2024)
[j15]
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  - journals/eswa/ZhangQJS24
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Chunxue Zhang, Liqing Qiu, Caixia Jing, Chengai Sun:
TIAE-DSIN: A time interval aware deep session interest network for click-through rate prediction. Expert Syst. Appl. 249: 123531 (2024)
2023
[j14]
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  - journals/air/SunJQYZ23
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Chengai Sun, Caixia Jing, Liqing Qiu, Qingyu Yang, Chunxu Zhang:
PC-IEN: a click-through rate prediction method based on dynamic collaborative personalized interest extraction. Artif. Intell. Rev. 56(10): 11123-11147 (2023)
2022
[j13]
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  - journals/apin/SunLLL22
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Chengai Sun, Liangyu Lv, Tailu Liu, Tangjun Li:
A joint model based on interactive gate mechanism for spoken language understanding. Appl. Intell. 52(6): 6057-6064 (2022)
[j12]
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  - journals/apin/DuanQSS22
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Xiuliang Duan, Liqing Qiu, Chengai Sun, Qiang Shi:
Multi-hop analysis method for rich-club phenomenon of influence maximization in social networks. Appl. Intell. 52(8): 8721-8734 (2022)
[j11]
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Yuening Liu, Liqing Qiu, Chengai Sun:
An influence maximization algorithm based on low-dimensional representation learning. Appl. Intell. 52(14): 15865-15882 (2022)
[j10]
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Chengai Sun, Donghang Qiao, Liqing Qiu:
Online dynamic rumour propagation model considering punishment mechanism and individual personality characteristics. J. Complex Networks 10(4) (2022)
[j9]
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  - journals/ida/DuanQS22
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Xiuliang Duan, Liqing Qiu, Chengai Sun:
TSPS: A Topic based Shortest Path Set algorithm for influence maximization. Intell. Data Anal. 26(2): 469-480 (2022)
[j8]
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  - journals/kbs/JingQSY22
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Caixia Jing, Liqing Qiu, Chengai Sun, Qingyu Yang:
ICE-DEN: A click-through rate prediction method based on interest contribution extraction of dynamic attention intensity. Knowl. Based Syst. 250: 109135 (2022)
[j7]
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  - journals/mlc/SunDQSL22
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Chengai Sun, Xiuliang Duan, Liqing Qiu, Qiang Shi, Tengteng Li:
RLIM: representation learning method for influence maximization in social networks. Int. J. Mach. Learn. Cybern. 13(11): 3425-3440 (2022)
2021
[j6]
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  - journals/concurrency/LiuSLW21
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Shuqi Liu, Chengai Sun, Qiu Liqing, Moji Wei:
Spectator-filter-spreader-stifler information propagation model with wake-up mechanism in social networks. Concurr. Comput. Pract. Exp. 33(5) (2021)
[j5]
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  - journals/talip/SunLTL21
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Chengai Sun, Liangyu Lv, Gang Tian, Tailu Liu:
Deep Interactive Memory Network for Aspect-Level Sentiment Analysis. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(1): 3:1-3:12 (2021)
2020
[j4]
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  - journals/soco/SunNLL20
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Chengai Sun, Weinan Niu, Qiu Liqing, Liangyu Lv:
Scalable influence maximization based on influential seed successors. Soft Comput. 24(8): 5921-5931 (2020)
2018
[j3]
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  - journals/concurrency/TianLPS18
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Gang Tian, Pengfei Liu, Yanjun Peng, Chengai Sun:
Tagging augmented neural topic model for semantic sparse Web service discovery. Concurr. Comput. Pract. Exp. 30(16) (2018)
2017
[j2]
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  - journals/isf/TianWHST17
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Gang Tian, Jian Wang, Keqing He, Chengai Sun, Yuan Tian:
Integrating implicit feedbacks for time-aware web service recommendations. Inf. Syst. Frontiers 19(1): 75-89 (2017)
2016
[j1]
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  - journals/ijhpcn/TianSHJ16
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Gang Tian, Chengai Sun, Keqing He, Xiang-min Ji:
Transferring auxiliary knowledge to enhance heterogeneous web service clustering. Int. J. High Perform. Comput. Netw. 9(1/2): 160-169 (2016)

Conference and Workshop Papers

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2021
[c3]
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  - conf/iscsic/LiuLS21
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Yuening Liu, Qiu Liqing, Chengai Sun:
HCT: A Hybrid Algorithm for Influence Maximization Problem Based on Community Detection and TOPSIS. ISCSIC 2021: 334-340
2017
[c2]
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  - conf/seke/WangYSWZJ17
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Rui Wang, Shi Ying, Chengai Sun, Hongyan Wan, Huo-lin Zhang, Xiangyang Jia:
Model Construction and Data Management of Running Log in Supporting SaaS Software Performance Analysis. SEKE 2017: 149-154
2014
[c1]
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  - conf/icws/TianWHHS14
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Gang Tian, Jian Wang, Keqing He, Patrick C. K. Hung, Chengai Sun:
Time-Aware Web Service Recommendations Using Implicit Feedback. ICWS 2014: 273-280

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