期刊的影响因子--文章列表

期刊文章列表
Wei-Chien Wang，Euijoon Ahn，Dagan Feng，Jinman Kim（Biomedical and Multimedia Information Technology(BMIT)Research Group，School of Computer Science，The University of Sydney，Sydney NSW 2006，Australia；College of Science and Engineering，James Cook University，Cairns QLD 4811，Australia）.A Review of Predictive and Contrastive Self-supervised Learning for Medical Images[J].机器智能研究（英文）,2023,第4期 Haoyu Lu，Yuqi Huo，Mingyu Ding，Nanyi Fei，Zhiwu Lu（Gaoling School of Artificial Intelligence，Renmin University of China，Beijing 100872，China；TThe University of Hong Kong，Hong Kong 999077，China）.Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval[J].机器智能研究（英文）,2023,第4期 Wei-Qing Ren，Yu-Ben Qu，Chao Dong，Yu-Qian Jing，Hao Sun，Qi-Hui Wu，Song Guo（College of Electronic and Information Engineering，Nanjing University of Aeronautics and Astronautics；Department of Computing，Hong Kong Polytechnic University）.A Survey on Collaborative DNN Inference for Edge Intelligence[J].机器智能研究（英文）,2023,第3期 Rui Jiang，Ruixiang Zhu，Hu Su，Yinlin Li，Yuan Xie，Wei Zou（College of Information Engineering，Shanghai Maritime University，Shanghai 201306，China；School of Computer Science and Technology，East China Normal University，Shanghai 200062，China；College of Information Engineering，Shanghai Maritime University，Shanghai 201306，China；Research Center of Precision Sensing and Control，Institute of Automation，Chinese Academy of Sciences，Beijing 100190，China；State Key Laboratory for Management and Control of Complex Systems，Institute of Automation，Chinese Academy of Sciences，Beijing 100190，China；School of Computer Science and Technology，East China Normal University，Shanghai 200062，China）.Deep Learning-based Moving Object Segmentation：Recent Progress and Research Prospects[J].机器智能研究（英文）,2023,第3期 Qi-Yue Yin，Jun Yang，Kai-Qi Huang，Mei-Jing Zhao，Wan-Cheng Ni，Bin Liang，Yan Huang，Shu Wu，Liang Wang（Institute of Automation，Chinese Academy of Sciences，Beijing 100190，China；School of Artificial Intelligence，University of Chinese Academy of Sciences，Beijing 100049，China；Department of Automation，Tsinghua University，Beijing 100084，China；Institute of Automation，Chinese Academy of Sciences，Beijing 100190，China；School of Artificial Intelligence，University of Chinese Academy of Sciences，Beijing 100049，China；Center for Excellence in Brain Science and Intelligence Technology，Chinese Academy of Sciences；Institute of Automation，Chinese Academy of Sciences）.AI in Human-computer Gaming：Techniques,Challenges and Opportunities[J].机器智能研究（英文）,2023,第3期 Wai-Chung Kwan，Hong-Ru Wang，Hui-Min Wang，Kam-Fai Wong（The Systems Engineering and Engineering Management Department，The Chinese University of Hong Kong，Hong Kong 999077，China）.A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning[J].机器智能研究（英文）,2023,第3期 Jianing Han，Ziming Wang，Jiangrong Shen，Huajin Tang（College of Computer Science and Technology，Zhejiang University，Hangzhou 310027，China；College of Computer Science and Technology，Zhejiang University，Hangzhou 310027，China；Zhejiang Lab，Hangzhou 311121，China）.Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion[J].机器智能研究（英文）,2023,第3期 Wenpeng Xing，Jie Chen，Yike Guo（Department of Computer Science，Hong Kong Baptist University，Hong Kong 999077，China；Department of Computer Science，Hong Kong Baptist University，Hong Kong 999077，China；Data Science Institute，Imperial College London，London SW7 2AZ，UK）.Robust Local Light Field Synthesis via Occlusion-aware Sampling and Deep Visual Feature Fusion[J].机器智能研究（英文）,2023,第3期 Kong Linghuan，He Wei，Chen Wenshi，Zhang Hui，Wang Yaonan（School of Intelligence Science and Technology，University of Science and Technology Beijing，Beijing 100083，China；Institute of Artificial Intelligence，University of Science and Technology Beijing，Beijing 100083，China；School of Robotics and the National Engineering Laboratory of Robot Visual Perception and Control Technology，Hunan University，Changsha 410082，China）.Dynamic Movement Primitives Based Robot Skills Learning[J].机器智能研究（英文）,2023,第3期 Ge-Peng Ji，Mingchen Zhuge，Dehong Gao，Deng-Ping Fan，Christos Sakaridis，Luc Van Gool（International Core Business Unit，Alibaba Group，Hangzhou 310051，China；Computer Vision Lab，ETH Zurich，Zurich 8092，Switzerland）.Masked Vision-language Transformer in Fashion[J].机器智能研究（英文）,2023,第3期 Zhengyan Zhang，Guangxuan Xiao，Yongwei Li，Tian Lv，Fanchao Qi，Zhiyuan Liu，Yasheng Wang，Xin Jiang，Maosong Sun（Department of Computer Science and Technology；Institute for Artificial Intelligence；Beijing National Research Center for Information Science and Technology；Huawei Noah′s Ark Laboratory）.Red Alarm for Pre-trained Models：Universal Vulnerability to Neuron-level Backdoor Attacks[J].机器智能研究(英文版),2023,第2期 Linghui Meng，Muning Wen，Chenyang Le，Xiyun Li，Dengpeng Xing，Weinan Zhang，Ying Wen，Haifeng Zhang，Jun Wang，Yaodong Yang，Bo Xu（Institute of Automation；School of Artificial Intelligence；Shanghai Jiao Tong University；School of Future Technology；Institute for AI；Department of Computer Science）.Offline Pre-trained Multi-agent Decision Transformer[J].机器智能研究(英文版),2023,第2期 Yuxian Gu，Jiaxin Wen，Hao Sun，Yi Song，Pei Ke，Chujie Zheng，Zheng Zhang，Jianzhu Yao，Lei Liu，Xiaoyan Zhu，Minlie Huang（The Conversational AI Group；Department of Computer Science and Technology；Department of Electrical Engineering and Computer Science）.EVA2.0：Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training[J].机器智能研究(英文版),2023,第2期 Liang Zhang，Ludan Ruan，Anwen Hu，Qin Jin（School of Information）.Multimodal Pretraining from Monolingual to Multilingual[J].机器智能研究(英文版),2023,第2期 Yuchi Liu，Zhongdao Wang，Xiangxin Zhou，Liang Zheng（College of Engineering&Computer Science；Department of Electronic Engineering）.A Study of Using Synthetic Data for Effective Association Knowledge Learning[J].机器智能研究(英文版),2023,第2期 Yixuan Qiu，Feng Lin，Weitong Chen，Miao Xu（The University of Queensland；The University of Adelaide）.Pre-training in Medical Data：A Survey[J].机器智能研究(英文版),2023,第2期 Guyue Hu，Bin He，Hanwang Zhang（Nanyang Technological University；The 15th Research Institute of China Electronics Technology Group Corporation）.Compositional Prompting Video-language Models to Understand Procedure in Instructional Videos[J].机器智能研究(英文版),2023,第2期 Liqiang Jing，Yiren Li，Junhao Xu，Yongcan Yu，Pei Shen，Xuemeng Song（School of Science and Technology；HBIS Digital Technology Co.）.Vision Enhanced Generative Pre-trained Language Model for Multimodal Sentence Summarization[J].机器智能研究(英文版),2023,第2期 Xin-Yu Lin，Yi-Yan Xu，Wen-Jie Wang，Yang Zhang，Fu-Li Feng（National University of Singapore；University of Science and Technology of China）.Mitigating Spurious Correlations for Self-supervised Recommendation[J].机器智能研究(英文版),2023,第2期 Ji-RongWen，Ji-Rong Wen，Zi Huang，Hanwang Zhang（Renmin University of China；Renmin University of China；The University of Queensland；Nanyang Technological University）.Editorial for Special Issue on Large-scale Pre-training：Data,Models,and Fine-tuning[J].机器智能研究(英文版),2023,第2期 Hong Qiao^1,2,3，Ya-Xiong Wu^1,4，Shan-Lin Zhong^1,2，Pei-Jie Yin¹，Jia-Hao Chen^1,2（The State Key Laboratory of Management and Control for Complex System，Institute of Automation，Chinese Academy of Sciences；School of Artificial Intelligence，University of Chinese Academy of Sciences；Chinese Academy of Science Center for Excellence in Brain Science and Intelligence Technology；School of Mechanical Engineering，University of Science and Technology Beijing）.Brain-inspired Intelligent Robotics：Theoretical Analysis and Systematic Application[J].Machine Intelligence Research,2023,第1期 Qiang Yang^1,2，Anbu Huang¹，Lixin Fan¹，Chee Seng Chan³，Jian Han Lim³，Kam Woh Ng⁴，Ding Sheng Ong⁵，Bowen Li⁶（WeBank；Hong Kong University of Science and Technology；University of Malaya；University of Surrey；University of Aberystwyth；Shanghai Jiao Tong University）.Federated Learning with Privacy-preserving and Model IP-right-protection[J].Machine Intelligence Research,2023,第1期 Qi Zheng¹，Chao-Yue Wang²，Dadong Wang³，Da-Cheng Tao^1,2（University of Sydney；JD Explore Academy；DATA61，Commonwealth Scientific and Industrial Research Organisation）.Visual Superordinate Abstraction for Robust Concept Learning[J].Machine Intelligence Research,2023,第1期 Guo-Yin Wang¹，Dong-Dong Cheng^1,2，De-You Xia¹，Hai-Huan Jiang¹（Chongqing Key Laboratory of Computational Intelligence，Chongqing University of Posts and Telecommunications；College of Big Data and Intelligent Engineering，Yangtze Normal University）.Swarm Intelligence Research：From Bio-inspired Single-population Swarm Intelligence to Human-machine Hybrid Swarm Intelligence[J].Machine Intelligence Research,2023,第1期 Mei-Ling Wang^1,2，Wei Shao^1,2，Xiao-Ke Hao³，Dao-Qiang Zhang^1,2（College of Computer Science and Technology，Nanjing University of Aeronautics and Astronautics；Key Laboratory of Pattern Analysis and Machine Intelligence，Ministry of Industry and Information Technology；School of Artificial Intelligence，Hebei University of Technology）.Machine Learning for Brain Imaging Genomics Methods：A Review[J].Machine Intelligence Research,2023,第1期 Nan-Fei Jiang^1,2，Xu Zhao¹，Chao-Yang Zhao¹，Yong-Qi An^1,2，Ming Tang^1,2，Jin-Qiao Wang^1,2（School of Artificial Intelligence，University of Chinese Academy of Sciences；Institute of Automation，Chinese Academy of Sciences）.Pruning-aware Sparse Regularization for Network Pruning[J].Machine Intelligence Research,2023,第1期 Ge-Peng Ji¹，Deng-Ping Fan²，Yu-Cheng Chou¹，Dengxin Dai²，Alexander Liniger²，Luc Van Gool²（School of Computer Science，Wuhan University；Computer Vision Laboratory，ETH Zürich）.Deep Gradient Learning for Efficient Camouflaged Object Detection[J].Machine Intelligence Research,2023,第1期首页上一页 1 2 尾页共有2页，转到页

期刊文章列表