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Yanmin Shang
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2020 – today
- 2024
- [j5]Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu
, Shirui Pan:
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. World Wide Web (WWW) 27(3): 32 (2024) - 2023
- [j4]Yuchen Zhou
, Yanan Cao
, Yanmin Shang
, Chuan Zhou
, Shirui Pan
, Zheng Lin
, Qian Li
:
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. ACM Trans. Inf. Syst. 41(4): 83:1-83:26 (2023) - [c24]Yuchen Zhou
, Yanan Cao
, Yongchao Liu
, Yanmin Shang
, Peng Zhang
, Zheng Lin
, Yun Yue
, Baokun Wang, Xing Fu
, Weiqiang Wang
:
Multi-Aspect Heterogeneous Graph Augmentation. WWW 2023: 39-48 - 2022
- [j3]Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li
, Chuan Zhou, Guandong Xu:
API-GNN: attribute preserving oriented interactive graph neural network. World Wide Web 25(1): 239-258 (2022) - [c23]Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li
:
Task-level Relations Modelling for Graph Meta-learning. ICDM 2022: 813-822 - [c22]Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu
:
H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. WWW 2022: 1486-1494 - [i2]Fengzhao Shi, Ren Li, Yanan Cao, Yanmin Shang, Lanxue Zhang, Chuan Zhou, Jia Wu, Shirui Pan:
VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily. CoRR abs/2211.14523 (2022) - 2021
- [j2]Xiaoxue Li
, Yanan Cao, Qian Li
, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu:
RLINK: Deep reinforcement learning for user identity linkage. World Wide Web 24(1): 85-103 (2021) - [c21]Zheng Fang, Yanan Cao, Tai Li, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu:
TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network. EMNLP (1) 2021: 198-207 - [c20]Fangfang Yuan, Teng Tian, Yanmin Shang, Yuhai Lu, Yanbing Liu, Jianlong Tan:
Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning. ICONIP (4) 2021: 464-476 - [c19]Zhezhou Kang, Yanan Cao, Yanmin Shang, Tao Liang, Hengzhu Tang, Lingling Tong:
Fake News Detection with Heterogenous Deep Graph Convolutional Network. PAKDD (1) 2021: 408-420 - 2020
- [c18]Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu:
Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network. AAAI 2020: 147-155 - [c17]Xiaoxue Li, Yangxi Li, Yanmin Shang, Lingling Tong, Fang Fang, Pengfei Yin, Jie Cheng, Jing Li:
DDNE: Discriminative Distance Metric Learning for Network Embedding. ICCS (1) 2020: 568-581 - [c16]Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan:
Data Augmentation for Insider Threat Detection with GAN. ICTAI 2020: 632-638
2010 – 2019
- 2019
- [c15]Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan:
Attention-Based LSTM for Insider Threat Detection. ATIS 2019: 192-201 - [c14]Yanmin Shang, Zhezhou Kang, Yanan Cao, Dongjie Zhang, Yang Li, Yangxi Li, Yanbing Liu:
PAAE: A Unified Framework for Predicting Anchor Links with Adversarial Embedding. ICME 2019: 682-687 - [c13]Yuchen Zhou, Yanmin Shang, Yaman Cao, Yanbing Liu, Jianlong Tan:
UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation. KSEM (1) 2019: 155-167 - [i1]Xiaoxue Li, Yanan Cao, Yanmin Shang, Yangxi Li, Yanbing Liu, Jianlong Tan:
RLINK: Deep Reinforcement Learning for User Identity Linkage. CoRR abs/1910.14273 (2019) - 2018
- [c12]Zhezhou Kang, Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Li Guo:
Hierarchical Attention Networks for User Profile Inference in Social Media Systems. ICANN (3) 2018: 805-816 - [c11]Fangfang Yuan, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Binxing Fang:
Insider Threat Detection with Deep Neural Network. ICCS (1) 2018: 43-54 - [c10]Hao Xu, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo:
Adversarial Reinforcement Learning for Chinese Text Summarization. ICCS (3) 2018: 519-532 - 2017
- [c9]Zheng Fang, Yanan Cao, Yanbing Liu, Jianlong Tan, Li Guo, Yanmin Shang:
A co-training method for identifying the same person across social networks. GlobalSIP 2017: 1412-1416 - [c8]Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo:
Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network. KSEM 2017: 274-286 - 2016
- [c7]Yanmin Shang, Ke-Fu Xu, Yi Han, Chuang Zhang:
FTM: Recommending the Right Items for User Temporal Interests with Matrix Factorization through Topic Model. DSC 2016: 189-198 - 2013
- [c6]Fang Wang, Peng Zhang, Yanmin Shang, Yong Shi:
The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction. ICCS 2013: 1720-1729 - [c5]Yanmin Shang, Peng Zhang, Yanan Cao, Li Guo:
Behavioral targeting with social regularization. ISI 2013: 233-238 - [c4]Yanmin Shang, Peng Zhang, Yanan Cao:
A New Interest-Sensitive and Network-Sensitive Method for User Recommendation. NAS 2013: 242-246 - 2012
- [j1]Ruizhen Gao, Jingjun Zhang, Yanmin Shang, Yuzhen Dong:
An Improve Genetic Algorithm Based on Fixed Point Algorithms. J. Comput. 7(5): 1109-1115 (2012)
2000 – 2009
- 2009
- [c3]Yuzhen Dong, Jingjun Zhang, Ruizhen Gao, Yanmin Shang:
An Improved Genetic Algorithm Based on hK1 Subdivision and Fixed Point. BIFE 2009: 88-91 - [c2]Jingjun Zhang, Yanmin Shang, Ruizhen Gao, Yuzhen Dong:
An Improved Genetic Algorithm Based on Subdivision Theory. BIFE 2009: 110-113 - [c1]Yuzhen Dong, Jingjun Zhang, Ruizhen Gao, Yanmin Shang:
An Improved Genetic Algorithm Based on J1 Subdivision and Fixed Point. ISCID (1) 2009: 539-542
Coauthor Index
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last updated on 2024-08-05 20:22 CEST by the dblp team
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