中国科学院计算技术研究所机构知识库

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	Functional Testing and Repair for ReRAM-Based Deep-Learning Accelerators 期刊论文 IEEE DESIGN & TEST, 2025, 卷号: 42, 期号: 3, 页码: 66-73 作者:  Li, Wen;  Wang, Ying;  Li, Huawei;  Li, Xiaowei;  Zou, Kaiwei 收藏  |  浏览/下载：55/0  |  提交时间：2025/06/25 Accuracy  Fault tolerant systems  Fault tolerance  Deep learning  Image edge detection  Fault detection  Computational modeling  Training  Reliability  Hafnium  Deep Neural Network  ReRAM  Functional Test  Computing-in-Memory
	OptiFX: Automatic Optimization for Convolutional Neural Networks with Aggressive Operator Fusion on GPUs 期刊论文 ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2025, 卷号: 22, 期号: 2, 页码: 27 作者:  Wang, Xueying;  Li, Shigang;  Qian, Hao;  Luo, Fan;  Hao, Zhaoyang;  Wu, Tong;  Xu, Ruiyuan;  Cui, Huimin;  Feng, Xiaobing;  Li, Guangli 收藏  |  浏览/下载：21/0  |  提交时间：2025/12/03 Deep learning systems  convolutional neural networks  operator fusion
	Practically Unbiased Pairwise Loss for Recommendation With Implicit Feedback 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2025, 卷号: 47, 期号: 4, 页码: 2460-2474 作者:  Cao, Tianwei;  Xu, Qianqian;  Yang, Zhiyong;  Ma, Zhanyu;  Huang, Qingming 收藏  |  浏览/下载：34/0  |  提交时间：2025/06/25 Estimation  Imputation  Training data  IP networks  Accuracy  Supervised learning  Recommender systems  Noise  Data models  Computer science  Recommender system  collaborative filtering  debias  noise-robust learning  pairwise ranking loss
	Adaptive and Low-Cost Traffic Engineering: A Traffic Matrix Clustering Perspective 期刊论文 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2025, 卷号: 43, 期号: 2, 页码: 510-523 作者:  Liu, Yi;  Geng, Nan;  Xu, Mingwei;  Yang, Yuan;  Dong, Enhuan;  Liu, Chenyi;  Gan, Qiaoyin;  Li, Qing;  Wu, Jianping 收藏  |  浏览/下载：57/0  |  提交时间：2025/06/25 Routing  Real-time systems  Feature extraction  Computational modeling  Clustering algorithms  Quality of service  Optimization models  Classification algorithms  Transforms  Topology  Traffic engineering  traffic matrix classification  machine learning
	OTRec: Cross-Modal Learning for Multimodal Recommendation via Optimal Transport 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2025, 卷号: 27, 页码: 8603-8617 作者:  Cao, Zongsheng;  Xu, Qianqian;  Yang, Zhiyong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25 Semantics  Recommender systems  Contrastive learning  Electronic mail  Lattices  Data models  Data mining  Artificial intelligence  Accuracy  Visualization  Multimodal recommendation  optimal transport  modal-invariant  modal-specific
	Multitask-Based Self-Supervised Learning for Recommendation in Social Systems 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 12 作者:  Xu, Wenjian;  Zeng, Fanxiang;  Zhang, Nan;  Gao, Honghao;  Yin, Yuyu;  Chen, Zulong;  Huang, Maolei;  Wan, Jian 收藏  |  浏览/下载：55/0  |  提交时间：2025/06/25 Data models  Predictive models  Heavily-tailed distribution  Feature extraction  Representation learning  Recommender systems  Electronic mail  Computational modeling  Poles and towers  Data mining  Click-through rate (CTR) prediction  large-scale knowledge discovery  multitask learning  representation learning  user behavior modeling
	A reinforcement learning-based optimization method for task allocation of agricultural multi-robots clusters 期刊论文 COMPUTERS & ELECTRICAL ENGINEERING, 2024, 卷号: 120, 页码: 15 作者:  Lu, Zaiwang;  Wang, Yancong;  Dai, Feng;  Ma, Yike;  Long, Long;  Zhao, Zixu;  Zhang, Yucheng;  Li, Jintao 收藏  |  浏览/下载：53/0  |  提交时间：2024/12/06 Graph neural network  Multi-robot systems  Agricultural task allocation  Multiple traveling salesmen problem  Reinforcement learning
	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：32/0  |  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
	GraphIoT: Lightweight IoT Device Detection Based on Graph Classifiers and Incremental Learning 期刊论文 IEEE TRANSACTIONS ON SERVICES COMPUTING, 2024, 卷号: 17, 期号: 6, 页码: 3758-3772 作者:  Yin, Yansong;  Xie, Kun;  He, Shiming;  Li, Yanbiao;  Wen, Jigang;  Diao, Zulong;  Zhang, Dafang;  Xie, Gaogang 收藏  |  浏览/下载：55/0  |  提交时间：2025/06/25 Internet of Things  Logic gates  Feature extraction  Protocols  Learning systems  Object recognition  IP networks  Graph neural networks  incremental learning  IoT device detection
	Adaptive Fault-Tolerant Optimized Platoon Cloud Tracking Control for Heterogeneous Vehicles via Dual Learning Mechanism 期刊论文 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 页码: 12 作者:  An, Jiaxin;  Cao, Liang;  Wang, Yingxun;  Jadoon, Ahmer Khan;  Wang, Shuhui 收藏  |  浏览/下载：46/0  |  提交时间：2024/12/06 Fault tolerant systems  Fault tolerance  Actuators  Vehicle dynamics  Reinforcement learning  Artificial neural networks  Learning systems  Actuator fault  cloud control  dual learning mechanism (DLM)  heterogeneous vehicular platoon systems (HVPSs)