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检索条件"机构=School of Computer Science and Shanghai Key Laboratory of Data Science"
9883 条 记 录,以下是891-900 订阅
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Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems
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IEEE Transactions on Cybernetics 2022年 第5期52卷 3276-3288页
作者: Zhang, Hengmin Qian, Feng Shang, Fanhua Du, Wenli Qian, Jianjun Yang, Jian East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education School of Information Science and Engineering Shanghai200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China Xidian University Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence Xi'an710071 China Peng Cheng Laboratory Shenzhen518066 China Nanjing University of Science and Technology Pca Laboratory Key Lab. of Intelligent Percept. and Syst. for High-Dimensional Information of Ministry of Education Nanjing210094 China Nanjing University of Science and Technology Jiangsu Key Laboratory of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing210094 China
In recent years, most of the studies have shown that the generalized iterated shrinkage thresholdings (GISTs) have become the commonly used first-order optimization algorithms in sparse learning problems. The nonconve... 详细信息
来源: 评论
MM-Tracker: Motion Mamba with Margin Loss for UAV-platform Multiple Object Tracking
arXiv
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arXiv 2024年
作者: Yao, Mufeng Peng, Jinlong He, Qingdong Peng, Bo Chen, Hao Chi, Mingmin Liu, Chao Benediktsson, Jon Atli School of Computer Science Shanghai Key Laboratory of Data Science Fudan University China Tencent Youtu Lab China Shanghai Ocean University China University of Iceland Iceland
Multiple object tracking (MOT) from unmanned aerial vehicle (UAV) platforms requires efficient motion modeling. This is because UAV-MOT faces both local object motion and global camera motion. Motion blur also increas... 详细信息
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Discovering Reliable Information Extraction Patterns with Pre-Trained Model for Text with Writing Style
Discovering Reliable Information Extraction Patterns with Pr...
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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023
作者: Bu, Chenyang Liu, Jiacheng Liu, Jiaxuan Ji, Shengwei Yang, Hongbin School of Computer Science and Information Engineering Ministry of Education Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Anhui Hefei230027 China School of Artificial Intelligence and Big Data Hefei University China
Large-scale pre-trained models such as GPT and BERT have demonstrated remarkable performance in information extraction tasks. However, their black-box nature poses challenges for reliability and interpretability. In c... 详细信息
来源: 评论
Improving viewpoint-independent object-centric representations through active viewpoint selection  24
Improving viewpoint-independent object-centric representatio...
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Proceedings of the 38th International Conference on Neural Information Processing Systems
作者: Yinxuan Huang Chengmin Gao Bin Li Xiangyang Xue Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University
Given the complexities inherent in visual scenes, such as object occlusion, a comprehensive understanding often requires observation from multiple viewpoints. Existing multi-viewpoint object-centric learning methods t...
来源: 评论
ONE TRANSFORMER CAN UNDERSTAND BOTH 2D & 3D MOLECULAR data  11
ONE TRANSFORMER CAN UNDERSTAND BOTH 2D & 3D MOLECULAR DATA
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11th International Conference on Learning Representations, ICLR 2023
作者: Luo, Shengjie Chen, Tianlang Xu, Yixian Zheng, Shuxin Liu, Tie-Yan Wang, Liwei He, Di National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology Peking University China School of EECS Peking University China Microsoft Research United States Center for Data Science Peking University China Shanghai Artificial Intelligence Laboratory China
Unlike vision and language data which usually has a unique format, molecules can naturally be characterized using different chemical formulations. One can view a molecule as a 2D graph or define it as a collection of ... 详细信息
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Improved Machine Learning Approach for shanghai City's Secondhand Housing Price Prediction
Improved Machine Learning Approach for Shanghai City's Secon...
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computer science, computer Engineering, & Applied Computing (CSCE), Congress in
作者: Guang Hu Yue Tang Rui Yi School of Statistics and Information Shanghai University of International Business and Economics School of Computer Science Fudan University Shanghai Key Laboratory of Data Science Shanghai China
This paper presents an improved machine learning approach for prediction of second-hand housing prices in shanghai. It firstly builds the random forest model and the XGboost model with shanghai second-hand housing tra...
来源: 评论
OnMKD: An Online Mutual Knowledge Distillation Framework for Passage Retrieval  12th
OnMKD: An Online Mutual Knowledge Distillation Framework for...
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12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023
作者: Deng, Jiali Li, Dongyang Zhang, Taolin He, Xiaofeng School of Computer Science and Technology East China Normal University Shanghai China School of Software Engineering East China Normal University Shanghai China NPPA Key Laboratory of Publishing Integration Development ECNUP Shanghai China
Dense passage retriever recalls a set of relevant passages from a large corpus according to a natural language question. The dual-encoder architecture is prevalent in dense passage retrievers, which is based on large-... 详细信息
来源: 评论
The GECAM ground search system for gamma-ray transients
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science China(Physics,Mechanics & Astronomy) 2025年 第3期68卷 161-174页
作者: Ce Cai Yan-Qiu Zhang Shao-Lin Xiong Ping Wang Jian-Hui Li Xiao-Bo Li Cheng-Kui Li Yue Huang Shi-Jie Zheng Li-Ming Song Shuo Xiao Qi-Bin Yi Yi Zhao Sheng-Lun Xie Rui Qiao Yan-Qi Du Zhi-Wei Guo Wang-Chen Xue Chao Zheng Jia-Cong Liu Chen-Wei Wang Wen-Jun Tan Yue Wang Jin-Peng Zhang Chao-Yang Li Guo-Ying Zhao Xiao-Yun Zhao Xiao-Lu Zhang Zhen Zhang Wen-Xi Peng Xiang Ma Jing-Yan Shi Dong-Ya Guo Jin Wang Xin-Qiao Li Xiang-Yang Wen Zheng-Hua An Fan Zhang College of Physics and Hebei Key Laboratory of Photophysics Research and Application Hebei Normal UniversityShijiazhuang050024China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing100049China University of Chinese Academy of Sciences Beijing100049China School of Physics and Electronic Science Guizhou Normal UniversityGuiyang550001China Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing Guizhou Normal UniversityGuiyang550001China School of Physics and Optoelectronics Xiangtan UniversityXiangtan411105China School of Computer and Information Dezhou UniversityDezhou253023China Institute of Astrophysics Central China Normal UniversityWuhan430079China
In the era of time-domain,multi-messenger astronomy,the detection of transient events on the high-energy electromagnetic sky has become more important than *** gravitational wave high-energy electromagnetic counterpar... 详细信息
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Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
arXiv
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arXiv 2025年
作者: Zhang, Siwei Xiong, Yun Tang, Yateng Chen, Xi Jia, Zian Gu, Zehao Xu, Jiarong Zhang, Jiawei Shanghai Key Laboratory of Data Science School of Computer Science Fudan University China Wechat Pay Tencent Group China IFM Lab Department of Computer Science University of California Davis United States
Temporal graph neural networks (TGNNs) have shown remarkable performance in temporal graph modeling. However, real-world temporal graphs often possess rich textual information, giving rise to temporal text-attributed ... 详细信息
来源: 评论
TIGER: Temporal Interaction Graph Embedding with Restarts
arXiv
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arXiv 2023年
作者: Zhang, Yao Xiong, Yun Liao, Yongxiang Sun, Yiheng Jin, Yucheng Zheng, Xuehao Zhu, Yangyong Shanghai Key Laboratory of Data Science School of Computer Science Fudan University China Tencent Weixin Group China
Temporal interaction graphs (TIGs), consisting of sequences of timestamped interaction events, are prevalent in fields like e-commerce and social networks. To better learn dynamic node embeddings that vary over time, ... 详细信息
来源: 评论