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of 230
pro vyhledávání: '"Jin, Haiming"'
Dataset condensation is a newborn technique that generates a small dataset that can be used in training deep neural networks to lower training costs. The objective of dataset condensation is to ensure that the model trained with the synthetic dataset
Externí odkaz:
http://arxiv.org/abs/2406.02131
Mobile crowd sensing (MCS) has emerged as an increasingly popular sensing paradigm due to its cost-effectiveness. This approach relies on platforms to outsource tasks to participating workers when prompted by task publishers. Although incentive mecha
Externí odkaz:
http://arxiv.org/abs/2305.16793
Data with missing values is ubiquitous in many applications. Recent years have witnessed increasing attention on prediction with only incomplete data consisting of observed features and a mask that indicates the missing pattern. Existing methods assu
Externí odkaz:
http://arxiv.org/abs/2305.11197
Recently, improving the robustness of policies across different environments attracts increasing attention in the reinforcement learning (RL) community. Existing robust RL methods mostly aim to achieve the max-min robustness by optimizing the policy'
Externí odkaz:
http://arxiv.org/abs/2202.07301
Autor:
Yang, Zhaoxing, Ding, Rong, Jin, Haiming, Wei, Yifei, You, Haoyi, Fan, Guiyun, Gan, Xiaoying, Wang, Xinbing
In recent years, multi-agent reinforcement learning (MARL) has presented impressive performance in various applications. However, physical limitations, budget restrictions, and many other factors usually impose \textit{constraints} on a multi-agent s
Externí odkaz:
http://arxiv.org/abs/2111.05670
Autor:
Zhu, Yichen, Jiang, Bo, Jin, Haiming, Zhang, Mengtian, Gao, Feng, Huang, Jianqiang, Lin, Tao, Wang, Xinbing
A networked time series (NETS) is a family of time series on a given graph, one for each node. It has a wide range of applications from intelligent transportation, environment monitoring to smart grid management. An important task in such application
Externí odkaz:
http://arxiv.org/abs/2110.02271
Autor:
Wang, Yueqin, Zhao, Cong, Chen, Liu, Wu, Qihang, Zhao, Zeyu, Lv, Jing-Jing, Wang, Shun, Pan, Shuang, Xu, Minyi, Chen, Yihuang, Jin, Haiming
Publikováno v:
In Nano Energy August 2024 127
Autor:
Miao, Jiansen, Tu, Yiting, Jiang, Junchen, Ren, Rufeng, Wu, Qihang, Liang, Haibo, Wang, Tengjie, Lin, Binghao, Wu, Jingtao, Pan, Youjin, Wang, Xiangyang, Jin, Haiming
Publikováno v:
In International Journal of Biological Macromolecules March 2024 260 Part 2
Autor:
Liu, Chang, Sun, Jiahui, Jin, Haiming, Ai, Meng, Li, Qun, Zhang, Cheng, Sheng, Kehua, Wu, Guobin, Qie, Xiaohu, Wang, Xinbing
Nowadays, ridesharing has become one of the most popular services offered by online ride-hailing platforms (e.g., Uber and Didi Chuxing). Existing ridesharing platforms adopt the strategy that dispatches orders over the entire city at a uniform time
Externí odkaz:
http://arxiv.org/abs/2009.02080
Akademický článek
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