Search Results - "Xiumin Shang"

The cisplatin-induced lncRNA PANDAR dictates the chemoresistance of ovarian cancer via regulating SFRS2-mediated p53 phosphorylation by Wang, Hao, Fang, Lei, Jiang, Jing, Kuang, Ye, Wang, Beidi, Shang, Xiumin, Han, Peilin, Li, Yue, Liu, Meimei, Zhang, Zongfeng, Li, Peiling

“…As a component of p53-dependent lncRNA (long non-coding RNA), PANDAR (the promoter of CDKN1A antisense DNA damage activated RNA) participates in the epigenetic…”
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Cisplatin-induced PANDAR-Chemo-EVs contribute to a more aggressive and chemoresistant ovarian cancer phenotype through the SRSF9-SIRT4/SIRT6 axis by Wang, Hao, Li, Yinuo, Wang, Yanan, Shang, Xiumin, Yan, Zhongxin, Li, Shengli, Bao, Wei

“…We previously elucidated that long non-coding RNA Promoter of CDKN1A Antisense DNA damage Activated RNA (PANDAR) as a p53-dependent oncogene to promote…”
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Cisplatin-induced PANDAR-Chemo-EVs contribute to a more aggressive and chemoresistant ovarian cancer phenotype through the SRSF9-SIRT4/SIRT6 axis by Hao Wang, Yinuo Li, Yanan Wang, Xiumin Shang, Zhongxin Yan, Shengli Li, Wei Bao

“…Objective: We previously elucidated that long non-coding RNA Promoter of CDKN1A Antisense DNA damage Activated RNA (PANDAR) as a p53-dependent oncogene to…”
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Modeling Collaborative Virtual Human Agents by Shang, Xiumin

“…Autonomous virtual agents have been employed in different areas, spanning applications from education and training to gaming and e-commerce. In particular,…”
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Constraint‐based multi‐agent reinforcement learning for collaborative tasks by Shang, Xiumin, Xu, Tengyu, Karamouzas, Ioannis, Kallmann, Marcelo

“…In order to be successfully executed, collaborative tasks performed by two agents often require a cooperative strategy to be learned. In this work, we propose…”
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An Operating Condition Adjustment Method for Power Grid Using Multi-DRL-Agent Architecture by YE Lin, XIANG Zhongming, ZHANG Jing, XU Jianping, LYU Qin, SHANG Xiumin, YANG Jingping, DIAO Ruisheng

“…As the planning and dispatching of new types of power systems become increasingly complicated， dynamic and dubious， it is very challenging to lay down…”
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基于多强化学习智能体架构的电网运行方式调节方法 by 叶琳, 项中明, 张静, 徐建平, 吕勤, 尚秀敏, 杨靖萍, 刁瑞盛

“…TM712;…”
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Composite Motion Learning with Task Control by Xu, Pei, Shang, Xiumin, Zordan, Victor, Karamouzas, Ioannis

“…ACM Transactions on Graphics (August 2023) We present a deep learning method for composite and task-driven motion control for physically simulated characters…”
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Evaluating Feedback Strategies for Virtual Human Trainers by Shang, Xiumin, Arif, Ahmed Sabbir, Kallmann, Marcelo

“…In this paper we address feedback strategies for an autonomous virtual trainer. First, a pilot study was conducted to identify and specify feedback strategies…”
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Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents by Shang, Xiumin, Yang, Jinping, Zhu, Bingquan, Ye, Lin, Zhang, Jing, Xu, Jianping, Lyu, Qin, Diao, Ruisheng

“…Planning future operational scenarios of bulk power systems that meet security and economic constraints typically requires intensive labor efforts in…”
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Reinforcement Learning-Based Solution to Power Grid Planning and Operation Under Uncertainties by Shang, Xiumin, Ye, Lin, Zhang, Jing, Yang, Jingping, Xu, Jianping, Lyu, Qin, Diao, Ruisheng

“…With the ever-increasing stochastic and dynamic behavior observed in today's bulk power systems, securely and economically planning future operational…”
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