검색어 : 통합검색[Tan Pang-Ning]
총 190건 중 190건 출력
, 6/19 페이지
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51
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SCL: Selective Contrastive Learning for Data-driven Zero-shot Relation Extraction
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Pang, Ning;
Zhao, Xiang;
Zeng, Weixin;
Tan, Zhen;
Xiao, Weidong;
National Key Laboratory of Information Systems Engineering, China. pangning14@nudt.edu.cn;
Laboratory for Big Data and Decision, National University of Defense Technology, China. xiangzhao@nudt.edu.cn;
Laboratory for Big Data and Decision, National University of Defense Technology, China. zengweixin13@nudt.edu.cn;
National Key Laboratory of Information Systems Engineering, China. tanzhen08a@nudt.edu.cn;
National Key Laboratory of Information Systems Engineering, China. wdxiao@nudt.edu.cn;
(Transactions of the association for computational linguistics,
v.12,
2024,
pp.1720-1735)
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52
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LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link Prediction
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Comar, P. M.;
Pang-Ning Tan;
Jain, A. K.;
;
(Data Mining (ICDM), 2011 IEEE 11th International Conference on,
v.2011,
2011,
pp.131-140)
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53
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<i>StaRS</i>: Learning a Stable Representation Space for Continual Relation Classification
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Pang, Ning;
Zhao, Xiang;
Zeng, Weixin;
Tan, Zhen;
Xiao, Weidong;
College of Systems Engineering, National University of Defense Technology, Changsha, China;
College of Systems Engineering, National University of Defense Technology, Changsha, China;
College of Systems Engineering, National University of Defense Technology, Changsha, China;
College of Systems Engineering, National University of Defense Technology, Changsha, China;
College of Systems Engineering, National University of Defense Technology, Changsha, China;
(IEEE transactions on neural networks and learning systems,
v.36,
2025,
pp.9670-9683)
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54
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Understanding compromised accounts on Twitter
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VanDam, Courtland;
Tang, Jiliang;
Tan, Pang-Ning;
Michigan State University;
Michigan State University;
Michigan State University;
(Proceedings of the International Conference on Web Intelligence,
v.2017,
2017,
pp.737-744)
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55
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Identifying Cohesive Subgroups and Their Correspondences in Multiple Related Networks
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Mandayam-Comar, Prakash;
Pang-Ning Tan;
Jain, Anil K;
;
(Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on,
v.1,
2010,
pp.476-483)
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56
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CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter
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VanDam, Courtland;
Tan, Pang-Ning;
Tang, Jiliang;
Karimi, Hamid;
;
(Advances in Social Networks Analysis and Mining (ASONAM), 2018 IEEE/ACM International Conference on,
v.2018,
2018,
pp.471-478)
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57
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Bursting the Filter Bubble: Fairness-Aware Network Link Prediction
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Masrour, Farzan;
Wilson, Tyler;
Yan, Heng;
Tan, Pang-Ning;
Esfahanian, Abdol;
;
(Proceedings of the ... aaai conference on artificial intelligence,
v.34,
2020,
pp.841-848)
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58
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MF-Tree : Matrix Factorization Tree for Large Multi-Class Learning
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Liu, Lei;
Tan, Pang-Ning;
Liu, Xi;
Hewlett Packard Laboratories, Palo Alto, CA, USA;
Michigan State University, East Lansing, MI, USA;
Michigan State University, East Lansing, MI, USA;
(Proceedings of the 24th ACM International on Conference on Information and Knowledge Management,
v.2015,
2015,
pp.881-890)
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59
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Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation
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Liu, Boyang;
Tan, Pang-Ning;
Zhou, Jiayu;
Michigan State University, East Lansing, MI, USA;
Michigan State University, East Lansing, MI, USA;
Michigan State University, East Lansing, MI, USA;
(Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
v.2018,
2018,
pp.1784-1793)
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60
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Spatio-Temporal Multi-Task Learning via Tensor Decomposition
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Xu, Jianpeng;
Zhou, Jiayu;
Tan, Pang-Ning;
Liu, Xi;
Luo, Lifeng;
Michigan State University, East Lansing, MI, USA;
Michigan State University, East Lansing, MI, USA;
Michigan State University, East Lansing, MI, USA;
Michigan State University, East Lansing, MI, USA;
Michigan State University, East Lansing, MI, USA;
(IEEE transactions on knowledge and data engineering,
v.33,
2021,
pp.2764-2775)