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检索条件"机构=Key Laboratories of Data Engineering and Knowledge Engineering"
1142 条 记 录,以下是101-110 订阅
排序:
OmniSQL: Synthesizing High-quality Text-to-SQL data at Scale
arXiv
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arXiv 2025年
作者: Li, Haoyang Wu, Shang Zhang, Xiaokang Huang, Xinmei Zhang, Jing Jiang, Fuxin Wang, Shuai Zhang, Tieying Chen, Jianjun Shi, Rui Chen, Hong Li, Cuiping Engineering Research Center of Database and Business Intelligence MOE China School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering MOE China ByteDance Inc China
Text-to-SQL, the task of translating natural language questions into SQL queries, plays a crucial role in enabling non-experts to interact with databases. While recent advancements in large language models (LLMs) have... 详细信息
来源: 评论
Dynamic Tracking with Fuzzy Rules for Evolutionary Dynamic Constrained Optimization
Dynamic Tracking with Fuzzy Rules for Evolutionary Dynamic C...
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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023
作者: Bu, Chenyang Liu, Yuxin Zhang, Lizhong Zhu, Tao Luo, Wenjian School of Computer Science and Information Engineering Hefei University of Technology Ministry of Education Key Laboratory of Knowledge Engineering with Big Data Anhui Hefei230027 China School of Computer Science and Information Engineering University of South China Hunan Hengyang421200 China School of Computer Science and Technology Harbin Institute of Technology Guangdong Shenzhen518000 China
Nature-inspired population-based stochastic search algorithms (SSA) have demonstrated effectiveness in solving many real-world dynamic optimization problems (DOPs), such as dynamic optimal power flow (DOPF) problems. ...
来源: 评论
Classifier Belief Optimization for Visual Categorization  27th
Classifier Belief Optimization for Visual Categorization
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27th International Conference on MultiMedia Modeling, MMM 2021
作者: Yang, Gang Li, Xirong Key Lab of Data Engineering and Knowledge Engineering Beijing China School of Information Renmin University of China Beijing China
Classifier belief represents the confidence of a classifier making judgment about a special instance. Based on classifier belief, we propose an approach to realize classifier belief optimization. Through enriching pri... 详细信息
来源: 评论
Fine-Grained Generation for Zero-Shot Learning  27th
Fine-Grained Generation for Zero-Shot Learning
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27th International Conference on MultiMedia Modeling, MMM 2021
作者: Sun, Weimin Xu, Jieping Yang, Gang Key Lab of Data Engineering and Knowledge Engineering Beijing China School of Information Renmin University of China Beijing China
Although zero-shot learning (ZSL) has achieved success in recognizing unseen classes images, most previous studies focus on feature projection from one domain to another, neglecting the domain shift problem caused by ... 详细信息
来源: 评论
Personalized Clustering via Targeted Representation Learning  39
Personalized Clustering via Targeted Representation Learning
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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Geng, Xiwen Zhao, Suyun Yu, Yixin Peng, Borui Du, Pan Chen, Hong Li, Cuiping Wang, Mengdie Key Lab of Data Engineering and Knowledge Engineering of MOE Renmin University of China China School of Information Renmin University of China China School of Statistics Remin University of China China
Clustering traditionally aims to reveal a natural grouping structure within unlabeled data. However, this structure may not always align with users’ preferences. In this paper, we propose a personalized clustering me... 详细信息
来源: 评论
Face micro-expression recognition algorithm based on ResNet depth model
Face micro-expression recognition algorithm based on ResNet ...
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6th International Conference on Intelligent Computing and Signal Processing (ICSP)
作者: Liquan Wang Shu Zhan School of Computer and Information Engineering Hefei University of Technology Key Laboratory of Big Data Knowledge Engineering Ministry of Education Hefei China
Micro Expression (ME) is the subtle facial expressions that people show when they express their inner feelings. To address the problem that micro-expression recognition is difficult and less accurate due to the small ...
来源: 评论
Rethinking data-Free Quantization as a Zero-Sum Game
arXiv
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arXiv 2023年
作者: Qian, Biao Wang, Yang Hong, Richang Wang, Meng Key Laboratory of Knowledge Engineering with Big Data Ministry of Education School of Computer Science and Information Engineering Hefei University of Technology China
data-free quantization (DFQ) recovers the performance of quantized network (Q) without accessing the real data, but generates the fake sample via a generator (G) by learning from full-precision network (P) instead. Ho... 详细信息
来源: 评论
Adaptive data-Free Quantization
arXiv
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arXiv 2023年
作者: Qian, Biao Wang, Yang Hong, Richang Wang, Meng Key Laboratory of Knowledge Engineering with Big Data Ministry of Education School of Computer Science and Information Engineering Hefei University of Technology China
data-free quantization (DFQ) recovers the performance of quantized network (Q) without accessing the original data, but generates the fake sample via a generator (G) by learning from full-precision network (P), which,... 详细信息
来源: 评论
基于数据挖掘技术的税务风险检测方法评述
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engineering 2024年 第3期34卷 43-59页
作者: Qinghua Zheng Yiming Xu Huixiang Liu Bin Shi Jiaxiang Wang Bo Dong School of Computer Science and Technology Xi’an Jiaotong UniversityXi’an 710049China Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering Xi’an Jiaotong UniversityXi’an 710049China School of Distance Education Xi’an Jiaotong UniversityXi’an 710049China
Tax risk behavior causes serious loss of fiscal revenue,damages the country’s public infrastructure,and disturbs the market economic order of fair *** recent years,tax risk detection,driven by information technology ... 详细信息
来源: 评论
Superclass Learning with Representation Enhancement
Superclass Learning with Representation Enhancement
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Zeyu Gan Suyun Zhao Jinlong Kang Liyuan Shang Hong Chen Cuiping Li Key Lab of Data Engineering and Knowledge Engineering of MOE Renmin University of China Beijing China Renmin University of China Beijing China
In many real scenarios, data are often divided into a handful of artificial super categories in terms of expert knowledge rather than the representations of images. Concretely, a superclass may contain massive and var...
来源: 评论