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Jinghua Piao
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2020 – today
- 2024
- [c4]Ruikun Li
, Huandong Wang
Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space. KDD 2024: 1655-1666 - [i7]Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li:
Artificial Intelligence for Complex Network: Potential, Methodology and Application. CoRR abs/2402.16887 (2024) - [i6]Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li:
Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space. CoRR abs/2408.09845 (2024) - 2023
- [j6]Jinghua Piao
Human-AI adaptive dynamics drives the emergence of information cocoons. Nat. Mac. Intell. 5(11): 1214-1224 (2023) - [j5]Chen Gao
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. Trans. Recomm. Syst. 1(1): 1-51 (2023) - [i5]Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, Yong Li:
S3: Social-network Simulation System with Large Language Model-Empowered Agents. CoRR abs/2307.14984 (2023) - 2022
- [j4]Zhilong Chen
A Mixed-Methods Analysis of the Algorithm-Mediated Labor of Online Food Deliverers in China. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-24 (2022) - [j3]Zhilong Chen
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-32 (2022) - [c3]Nian Li, Chen Gao, Jinghua Piao, Xin Huang, Aizhen Yue, Liang Zhou, Qingmin Liao, Yong Li:
An Exploratory Study of Information Cocoon on Short-form Video Platform. CIKM 2022: 4178-4182 - [i4]Zhilong Chen, Jinghua Piao, Xiaochong Lan, Hancheng Cao, Chen Gao, Zhicong Lu, Yong Li:
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design. CoRR abs/2208.04122 (2022) - [i3]Zhilong Chen, Xiaochong Lan, Jinghua Piao, Yunke Zhang, Yong Li:
A Mixed-Methods Analysis of the Algorithm-Mediated Labor of Online Food Deliverers in China. CoRR abs/2208.04518 (2022) - 2021
- [j2]Jinghua Piao, Guozhen Zhang, Fengli Xu, Zhilong Chen
Bringing Friends into the Loop of Recommender Systems: An Exploratory Study. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 439:1-439:26 (2021) - [c2]Zhilong Chen
Learning from Home: A Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges during the COVID-19 Pandemic. CHI 2021: 348:1-348:16 - [c1]Jinghua Piao, Guozhen Zhang, Fengli Xu, Zhilong Chen
Predicting Customer Value with Social Relationships via Motif-based Graph Attention Networks. WWW 2021: 3146-3157 - [i2]Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li:
Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. CoRR abs/2109.12843 (2021) - 2020
- [i1]Zhilong Chen, Hancheng Cao, Yuting Deng, Xuan Gao, Jinghua Piao, Fengli Xu, Yu Zhang, Yong Li:
A Large-Scale Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges During the COVID-19 Pandemic. CoRR abs/2010.01662 (2020)
2010 – 2019
- 2019
- [j1]Fengli Xu, Zhenyu Han
"I Think You'll Like It": Modelling the Online Purchase Behavior in Social E-commerce. Proc. ACM Hum. Comput. Interact. 3(CSCW): 65:1-65:23 (2019)
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