院系详细页面

[外文期刊] Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective EI

作者： He, Hui;Zhang, Qi;Wang, Shoujin;Yi, Kun;Niu, Zhendong;Cao, Longbing （¹The School of Medical and Technology, Beijing Institute of Technology, Beijing; 100081, China;²Data Science Lab, University of Technology Sydney, Ultimo; NSW; 2007, Australia;³The School of Computer Science and Technology, Beijing Institute of Technology, Beijing; 100081, China）

出处： arXiv 2023

摘要： Multivariate time series (MTS) forecasting has penetrated and benefited our daily life. However, the unfair forecasting of MTSs not only degrades thei ...

[外文期刊] Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving EI

作者： Liu, Jiawei;Dong, Xingping;Zhao, Sanyuan;Shen, Jianbing （¹School of Computer Science & Technology, Beijing Institute of Technology, China;²Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates;³Yangtze Delta Region Academy of Beijing, Institute of Technology, Jiaxing, China;⁴State Key Laboratory of Internet of Things for Smart City, Department of Computer and Information Science, University of Macau, China）

出处： arXiv 2023

摘要： Recent years have witnessed huge successes in 3D object detection to recognize common objects for autonomous driving (e.g., vehicles and pedestrians). ...

[外文期刊] Dialogue State Distillation Network with Inter-Slot Contrastive Learning for Dialogue State Tracking EI

作者： Xu, Jing;Song, Dandan;Liu, Chong;Hui, Siu Cheung;Li, Fei;Ju, Qiang;He, Xiaonan;Xie, Jian （¹School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China;²Baidu Inc., Beijing, China;³Nanyang Technological University, Singapore）

出处： arXiv 2023

摘要： In task-oriented dialogue systems, Dialogue State Tracking (DST) aims to extract users intentions from the dialogue history. Currently, most existing ...

[外文期刊] Editorial: Brain-computer interface and its applications SCIE EI

作者： Duo Chen;Ke Liu;Jiayang Guo;Luzheng Bi;Jing Xiang （¹ School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, China. ² School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China. ³ National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China. ⁴ Institute of Mechatronic Systems, Beijing Institute of Technology, Beijing, China. ⁵ Magnetoencephalography (MEG) Center, Cincinnati Children\'s Hospital Medical Center, Cincinnati, OH, United States.）

出处： Frontiers in neurorobotics 2023 Vol.17 P1140508

关键词： Electroencephalogram (EEG);artificial intelligence;brain-computer interface (BCI);deep learning;machine learning.

[外文期刊] Query-Centered Temporal Community Search via Time-Constrained Personalized PageRank EI

作者： Lin, Longlong;Yuan, Pingpeng;Li, Rong-Hua;Zhu, Chunxue;Qin, Hongchao;Jin, Hai;Jia, Tao （¹College of Computer and Information Science, Southwest University, Chongqing; 400715, China;²National Engineering Research Center for Big Data Technology and System, Service Computing Technology and System Laboratory, Cluster and Grid Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan; 430074, China;³School of Computer Science and Technololgy, Beijing Institute of Technology, Beijing; 100081, China）

出处： arXiv 2023

摘要： Existing temporal community search suffers from two defects: (i) they ignore the temporal proximity between the query vertex q and other vertices but ...

[外文期刊] Big data technologies forward-looking.

作者： H Biersack （¹高可信软件技术教育部重点实验室（北京大学)，北京 100871. ²中国人民大学信息学院，北京 100872. ³华中科技大学计算机科学与技术学院，湖北武汉 430074. ⁴中国科学院计算技术研究所，北京 100086. ⁵中国科学院大学计算机科学与技术学院，北京 100049. ⁶北京理工大学计算机学院，北京 10008.）

出处： Big Data Research 2023 Vol.9 No.1 P1-20

关键词： big data analytics;big data governance;big data management;big data processing;big data technology;大数据分析;大数据处理;大数据技术;大数据治理;大数据管理

摘要： Major countries in the world attach great importance to the development of big data technology. China also puts big data as a national strategy, of gr ...

[外文期刊] Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views SCIE EI

作者： Wen, Jie¹; Liu, Chengliang¹; Deng, Shijie¹; Liu, Yicheng¹; Fei, Lunke²; Yan, Ke³; Xu, Yong¹ （¹Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology (Shenzhen), Shenzhen, China;²School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China;³School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Neural Networks and Learning Systems 2023 P1-13

[外文期刊] A New Framework of Collaborative Learning for Adaptive Metric Distillation EI

作者： Liu, Hao¹; Ye, Mang²; Wang, Yan¹; Zhao, Sanyuan¹; Li, Ping³; Shen, Jianbing⁴ （¹School of Computer Science, Beijing Institute of Technology, Beijing, China;²Hubei Luojia Laboratory and the School of Computer Science, Wuhan University, Wuhan, China;³Department of Computing and the School of Design, The Hong Kong Polytechnic University, Hong Kong, Hong Kong;⁴Department of Computer and Information Science, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China）

出处： IEEE Transactions on Neural Networks and Learning Systems 2023 P1-12

[中文期刊] 基于实体多元编码的时序知识图谱推理 CSSCI 核

作者：彭成，张春霞，张鑫，郭倞涛，牛振东（北京理工大学计算机学院）

出处：数据分析与知识发现 2023 第7卷第1期 P138-149

关键词：时序知识图谱；时序知识图谱推理；实体多元编码；时序注意力机制；知识图谱

摘要：【目的】解决时序知识图谱推理方法存在的实体信息获取片面和缺乏不同时间戳对于待推理事件重要性度量的问题。【方法】提出一种基于实体多元编码的时序知识图谱推理模型。实体多元编码旨在引入三种实体特征编码，包括当前时间戳的实体切片特征编码、融合时间戳嵌入和实体静态特征的实体动态特征编码以及历史时间步上相对稳定 ...

[中文期刊] 人工智能的逆向工程——反向智能研究综述 CSCD 剑桥核

作者：李长升，汪诗烨，李延铭，张成喆，袁野，王国仁（北京理工大学计算机学院）

出处：软件学报 2023 第34卷第2期 P712-732

关键词：反向智能；人工智能安全；逆向还原；缺陷分析

摘要：在大数据时代,人工智能得到了蓬勃发展,尤其以机器学习、深度学习为代表的技术更是取得了突破性进展.随着人工智能在实际场景中的广泛应用,人工智能的安全和隐私问题也逐渐暴露出来,并吸引了学术界和工业界的广泛关注.以机器学习为代表,许多学者从攻击和防御的角度对模型的安全问题进行了深入的研究,并且提出了一系列 ...