中国科学院计算技术研究所机构知识库

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	Causal Analysis and Risk Assessment for Batch Crowdsourcing 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2025, 卷号: 24, 期号: 6, 页码: 5312-5323 作者:  Chao, Ke;  Wang, Shengling;  Shi, Hongwei;  Huang, Jianhui;  Cheng, Xiuzhen 收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25 Crowdsourcing  Collaboration  Mobile computing  Sensors  Scalability  Resource management  Prevention and mitigation  Multitasking  Costs  Correlation  causal inference  risk assessment
	Collaborative non-chain DNN inference with multi-device based on layer parallel 期刊论文 DIGITAL COMMUNICATIONS AND NETWORKS, 2024, 卷号: 10, 期号: 6, 页码: 1748-1759 作者:  Zhang, Qiuping;  Sun, Sheng;  Luo, Junjie;  Liu, Min;  Li, Zhongcheng;  Yang, Huan;  Wang, Yuwei 收藏  |  浏览/下载：5/0  |  提交时间：2025/06/25 Collaborative DNN inference  Multi-device collaboration  Non-chain DNN model
	Reinforcement Learning Based Online Request Scheduling Framework for Workload-Adaptive Edge Deep Learning Inference 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 12, 页码: 13222-13239 作者:  Tan, Xinrui;  Li, Hongjia;  Xie, Xiaofei;  Guo, Lu;  Ansari, Nirwan;  Huang, Xueqing;  Wang, Liming;  Xu, Zhen;  Liu, Yang 收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25 Deep learning  Computational modeling  Adaptation models  Task analysis  Processor scheduling  Schedules  Reinforcement learning  Deep learning inference serving systems  edge computing  efficient deep learning inference  reinforcement learning
	KG-EGV: A Framework for Question Answering with Integrated Knowledge Graphs and Large Language Models 期刊论文 ELECTRONICS, 2024, 卷号: 13, 期号: 23, 页码: 23 作者:  Hou, Kun;  Li, Jingyuan;  Liu, Yingying;  Sun, Shiqi;  Zhang, Haoliang;  Jiang, Haiyang 收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25 knowledge graph  large language model  question answering  evidence retrieval  multi-role reasoning  answer verification  ODQA  graph-based inference
	A Survey on Causal Reinforcement Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 21 作者:  Zeng, Yan;  Cai, Ruichu;  Sun, Fuchun;  Huang, Libo;  Hao, Zhifeng 收藏  |  浏览/下载：2/0  |  提交时间：2025/06/25 Cause effect analysis  Surveys  Mathematical models  Drugs  Sun  Reviews  Reinforcement learning  Decision making  Data models  Computer science  Causal discovery  causal inference  causal reinforcement learning (CRL)  Markov decision process (MDP)  sequential decision-making
	Blockchain Bottleneck Analysis Based on Performance Metrics Causality 期刊论文 ELECTRONICS, 2024, 卷号: 13, 期号: 21, 页码: 15 作者:  Song, Weihu;  Zhu, Mengxiao;  Lu, Dong;  Zhu, Chen;  Zhao, Jiejie;  Sun, Yi;  Li, Lei;  Zhu, Haogang 收藏  |  浏览/下载：17/0  |  提交时间：2024/12/06 blockchain  consortium  causal inference  bottleneck analysis
	Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey 期刊论文 IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2024, 卷号: 9, 期号: 6, 页码: 830-847 作者:  Cheng, Long;  Gu, Yan;  Liu, Qingzhi;  Yang, Lei;  Liu, Cheng;  Wang, Ying 收藏  |  浏览/下载：6/0  |  提交时间：2025/06/25 Computational modeling  Hardware  Artificial neural networks  Optimization  Internet of Things  Adaptation models  Data models  AIoT devices  DNN inference  model compression  parallel computing  performance optimization  survey
	ElasticBatch: A Learning-Augmented Elastic Scheduling System for Batch Inference on MIG 期刊论文 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 10, 页码: 1708-1720 作者:  Qi, Jiaxing;  Xiao, Wencong;  Li, Mingzhen;  Yang, Chaojie;  Li, Yong;  Lin, Wei;  Yang, Hailong;  Luan, Zhongzhi;  Qian, Depei 收藏  |  浏览/下载：20/0  |  提交时间：2024/12/06 Graphics processing units  Dynamic scheduling  Throughput  Processor scheduling  Pipelines  Costs  Quality of service  MIG  batch inference  scheduling system  machine learning
	Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling 期刊论文 COMPUTERS IN INDUSTRY, 2024, 卷号: 159, 页码: 21 作者:  Su, Chang;  Han, Yong;  Tang, Xin;  Jiang, Qi;  Wang, Tao;  He, Qingchen 收藏  |  浏览/下载：29/0  |  提交时间：2024/12/06 Manufacturing process  Knowledge-based digital twin system  Knowledge graph  Knowledge-driven modeling approach  Knowledge inference
	An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1497-1510 作者:  Liu, Lian;  Wang, Ying;  Zhao, Xiandong;  Chen, Weiwei;  Li, Huawei;  Li, Xiaowei;  Han, Yinhe 收藏  |  浏览/下载：52/0  |  提交时间：2024/12/06 Optimization  Quantization (signal)  Computer architecture  Training  Computational modeling  Integrated circuit modeling  Convergence  Automatic joint optimization  efficient model inference  network quantization  neural architecture search (NAS)