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ORCIDYanmin Shang
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2020 – today
- 2025
[j6]Yanan Cao, Xixun Lin, Yongxuan Wu, Fengzhao Shi, Yanmin Shang, Qingfeng Tan, Chuan Zhou, Peng Zhang
:
A data-centric framework of improving graph neural networks for knowledge graph embedding. World Wide Web (WWW) 28(1): 2 (2025)- [c31]Chuancheng Song, Xixun Lin, Hanyang Shen, Yanmin Shang, Yanan Cao:
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs. AAAI 2025: 12559-12567 - [c30]Yixuan Nan, Xixun Lin, Yanmin Shang, Zhuofan Li, Can Zhao, Yanan Cao:
RANA: Robust Active Learning for Noisy Network Alignment. ECAI 2025: 2722-2729 - [c29]Yu Liu, Yanan Cao, Xixun Lin, Yanmin Shang, Shi Wang, Shirui Pan:
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning. EMNLP 2025: 20970-20984 - [c28]Su Chen, Yan Dong, Yanmin Shang, Xiaolin Xu, Xixun Lin:
Federated Privacy-Preserving for Cross-Domain Sequential Recommendation. ICANN (3) 2025: 41-52 - [c27]Yongxuan Wu, Yang Liu, Xixun Lin, Hong Zhou, Yanan Cao, Lixin Zou, Yanmin Shang, Yanbing Liu:
FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation. KDD (2) 2025: 3261-3272 - [c26]Su Chen, Xiaohua Qi, Xixun Lin, Yanmin Shang, Xiaolin Xu, Yangxi Li:
Deep Graph Neural Point Process for Learning Temporal Interactive Networks. NLPCC (3) 2025: 416-428 - [c25]Nan Sun, Xixun Lin, Zhiheng Zhou, Yanmin Shang, Zhenlin Cheng, Yanan Cao:
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs. ECML/PKDD (1) 2025: 124-140 - [i9]Nan Sun, Xixun Lin, Zhiheng Zhou, Yanmin Shang, Zhenlin Cheng, Yanan Cao:
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs. CoRR abs/2506.07417 (2025) - [i8]Yixuan Nan, Xixun Lin, Yanmin Shang, Zhuofan Li, Can Zhao, Yanan Cao:
RANA: Robust Active Learning for Noisy Network Alignment. CoRR abs/2507.22434 (2025) - [i7]Su Chen, Xiaohua Qi, Xixun Lin, Yanmin Shang, Xiaolin Xu, Yangxi Li:
Deep Graph Neural Point Process For Learning Temporal Interactive Networks. CoRR abs/2508.13219 (2025) - [i6]Yu Liu, Yanan Cao, Xixun Lin, Yanmin Shang, Shi Wang, Shirui Pan:
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning. CoRR abs/2509.01166 (2025) - [i5]Xixun Lin, Yucheng Ning, Jingwen Zhang, Yan Dong, Yilong Liu, Yongxuan Wu, Xiaohua Qi, Nan Sun, Yanmin Shang, Pengfei Cao, Lixin Zou, Xu Chen, Chuan Zhou, Jia Wu, Shirui Pan, Bin Wang, Yanan Cao, Kai Chen, Songlin Hu, Li Guo:
LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions. CoRR abs/2509.18970 (2025) - [i4]Yu Liu, Xixun Lin, Yanmin Shang, Yangxi Li, Shi Wang, Yanan Cao:
PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models. CoRR abs/2511.14256 (2025) - [i3]Nan Sun, Zhenyu Zhang, Xixun Lin, Kun Wang, Yanmin Shang, Naibin Gu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang, Yanan Cao:
V-ITI: Mitigating Hallucinations in Multimodal Large Language Models via Visual Inference-Time Intervention. CoRR abs/2512.03542 (2025) - 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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