Search Results - "Jin, Hongyi"

Toxicokinetics of recombinant human fibroblast growth factor 21 for injection in cynomolgus monkey for 3 months by Lu, Chao, Jin, Lei, Bi, Jianing, Jin, Hongyi, You, Xinyi, Peng, Lulu, Fan, Haibing, Wang, Huan, Wang, Liangshun, Fan, Zhengkai, Wang, Xiaojie, Liu, Baohua

“…Recombinant human fibroblast growth factor 21 (FGF-21) is a potential therapeutic agent for multiple metabolic diseases. However, little is known about the…”
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Development of a new spectral method for fatigue damage assessment in bimodal and trimodal Gaussian random processes by Yuan, Kuilin, Jin, Hongyi, Chai, Wei

“…Fatigue damage assessment for marine structures subjected to random environmental loadings is an important issue at the design stage. The bimodal and trimodal…”
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Resource recovery of water treatment plant sludge and river sediment as phosphorus removal material: feasibility and mechanisms by Lin, Jinhuang, Zou, Jing, Zhuang, Lining, Jin, Hongyi, Liao, Xiaobin, Cao, Wei, Li, Fei, Zhou, Zhenming

“…Excessive phosphorus is a critical contributor to eutrophication, necessitating the use of substantial amounts of phosphorus removal materials. To address the…”
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Activation of peroxymonosulfate by catalysts derived from water treatment plant sludge for the simultaneous removal of Disperse Blue 56 and phosphates by Tang, Xing, Jin, Hongyi, Zou, Jing, Liu, Shupo, Li, Fei, Zhou, Zhenming

“…In this study, calcined water treatment plant sludge (C-WTPS) was used as a catalyst for peroxymonosulfate (PMS) activation to simultaneously remove Disperse…”
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Increase the inversion degree in Er-doped MgGa2O4 spinel nanofilms to obtain strong electroluminescence by Guo, Xinliang, Jin, Hongyi, Ye, Zejun, Yu, Zhimin, Yang, Yang, Sun, Jiaming

“…The Ga2O3/MgO/Er2O3 nanolaminates are fabricated by atomic layer deposition and crystallized into Er-doped MgGa2O4 spinel (MGS:Er) nanofilms after annealing,…”
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W-003 EFFECTS OF STAGE GOAL MANAGEMENT FOR HYPERTENSION CONTROL IN COMMUNITY by Xinhua, Tang, Hongyi, Jin, Binchu, Chen, Yanglin

“…BACKGROUNDThe important approach to control hypertension is prevention and cure in community. HOW to establish a mode for hypertension disease management which…”
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Effect of laparoscopic side-to-side jejunoileal anastomosis on glucose and lipid metabolism in type 2 diabetes mellitus by WANG Zhonghui, LYU Hongliang, SUN Tieliang, DAI Chunlei, YANG Jupeng, LIU Ming, GU Yang, ZHANG Hongyi, JIN Hu

“…Objective To analyze the effect of laparoscopic side-to-side jejunoileal anastomosis on blood glucose and lipid metabolism in type 2 diabetes mellitus（T2DM）…”
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Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems by Miao, Xupeng, Oliaro, Gabriele, Zhang, Zhihao, Cheng, Xinhao, Jin, Hongyi, Chen, Tianqi, Jia, Zhihao

“…In the rapidly evolving landscape of artificial intelligence (AI), generative large language models (LLMs) stand at the forefront, revolutionizing how we…”
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Relax: Composable Abstractions for End-to-End Dynamic Machine Learning by Lai, Ruihang, Shao, Junru, Feng, Siyuan, Lyubomirsky, Steven S, Hou, Bohan, Lin, Wuwei, Ye, Zihao, Jin, Hongyi, Jin, Yuchen, Liu, Jiawei, Jin, Lesheng, Cai, Yaxing, Jiang, Ziheng, Wu, Yong, Park, Sunghyun, Srivastava, Prakalp, Roesch, Jared G, Mowry, Todd C, Chen, Tianqi

“…Dynamic shape computations have become critical in modern machine learning workloads, especially in emerging large language models. The success of these models…”
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TensorIR: An Abstraction for Automatic Tensorized Program Optimization by Feng, Siyuan, Hou, Bohan, Jin, Hongyi, Lin, Wuwei, Shao, Junru, Lai, Ruihang, Ye, Zihao, Zheng, Lianmin, Yu, Cody Hao, Yu, Yong, Chen, Tianqi

“…Deploying deep learning models on various devices has become an important topic. The wave of hardware specialization brings a diverse set of acceleration…”
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Tensor Program Optimization with Probabilistic Programs by Shao, Junru, Zhou, Xiyou, Feng, Siyuan, Hou, Bohan, Lai, Ruihang, Jin, Hongyi, Lin, Wuwei, Masuda, Masahiro, Yu, Cody Hao, Chen, Tianqi

“…Automatic optimization for tensor programs becomes increasingly important as we deploy deep learning in various environments, and efficient optimization relies…”
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