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pro vyhledávání: '"Li, Yinfeng"'
Autor:
Li, Yinfeng, Ju, Fengkui
Coalition Logic is a central logic in logical research on strategic reasoning. In a recent paper, Li and Ju argued that generally, models of Coalition Logic, concurrent game models, have three too strong assumptions: seriality, independence of agents
Externí odkaz:
http://arxiv.org/abs/2409.14635
Autor:
Deng, Jiaxin, Wang, Shiyao, Lu, Song, Li, Yinfeng, Luo, Xinchen, Liu, Yuanjun, Xu, Peixing, Zhou, Guorui
State-of-the-art sequential recommendation models heavily rely on transformer's attention mechanism. However, the quadratic computational and memory complexities of self attention have limited its scalability for modeling users' long range behaviour
Externí odkaz:
http://arxiv.org/abs/2408.09380
Autor:
Li, Yinfeng, Ju, Fengkui
Classical logics for strategic reasoning, such as Coalition Logic and Alternating-time Temporal Logic, formalize absolute strategic reasoning about the unconditional strategic abilities of agents to achieve their goals. Goranko and Ju introduced a lo
Externí odkaz:
http://arxiv.org/abs/2405.11418
Autor:
Li, Yinfeng, Ju, Fengkui
Coalition logic is a central logic in strategic reasoning studies. In this paper, we first argue that Coalition Logic models, concurrent game models, have three too-strong assumptions. The first one is the independence of agents; that is, the merge o
Externí odkaz:
http://arxiv.org/abs/2403.14704
Autor:
Lin, Guanyu, Gao, Chen, Zheng, Yu, Li, Yinfeng, Chang, Jianxin, Niu, Yanan, Song, Yang, Gai, Kun, Li, Zhiheng, Jin, Depeng, Li, Yong
Modern personalized recommendation services often rely on user feedback, either explicit or implicit, to improve the quality of services. Explicit feedback refers to behaviors like ratings, while implicit feedback refers to behaviors like user clicks
Externí odkaz:
http://arxiv.org/abs/2311.08302
Autor:
Lin, Guanyu, Gao, Chen, Li, Yinfeng, Zheng, Yu, Li, Zhiheng, Jin, Depeng, Li, Dong, Hao, Jianye, Li, Yong
With the outbreak of today's streaming data, the sequential recommendation is a promising solution to achieve time-aware personalized modeling. It aims to infer the next interacted item of a given user based on the historical item sequence. Some rece
Externí odkaz:
http://arxiv.org/abs/2209.08446
Spatiotemporal activity prediction, aiming to predict user activities at a specific location and time, is crucial for applications like urban planning and mobile advertising. Existing solutions based on tensor decomposition or graph embedding suffer
Externí odkaz:
http://arxiv.org/abs/2208.06794
Publikováno v:
In Ecological Indicators October 2024 167
Autor:
Li, Yinfeng, Cao, Huaiyuan, Xue, Zixiao, Luo, Ran, Lin, Xuejie, Xue, Yuhua, Zhang, Long, He, Jin
Publikováno v:
In Ceramics International 15 September 2024 50(18) Part B:33537-33545
Autor:
Wu, Jingjing, Zhang, Qian, Li, Yinfeng, Zhang, Shaohe, Kong, Xiangwang, Rong, Linglong, Xiao, Yutong, Li, Hongzhi, Ding, Zhuofan
Publikováno v:
In Diamond & Related Materials December 2024 150