Yanmin Shang

According to our database, Yanmin Shang authored at least 44 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment.

Yixuan Nan, Xixun Lin, Yanmin Shang, Ge Zhang, Zheng Fang, Fang Fang, Yanan Cao

CoRR, April, 2026

Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts.

Chuancheng Song, Hanyang Shen, Yan Dong, Xixun Lin, Yanmin Shang, Yanan Cao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models.

Yu Liu, Xixun Lin, Yanmin Shang, Yangxi Li, Shi Wang, Yanan Cao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

V-ITI: Mitigating Hallucinations in Multimodal Large Language Models via Visual Inference-Time Intervention.

Nan Sun, Zhenyu Zhang, Xixun Lin, Kun Wang, Yanmin Shang, Naibin Gu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang, Yanan Cao

CoRR, December, 2025

LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions.

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

CoRR, September, 2025

A data-centric framework of improving graph neural networks for knowledge graph embedding.

Yanan Cao, Xixun Lin, Yongxuan Wu, Fengzhao Shi, Yanmin Shang, Qingfeng Tan, Chuan Zhou, Peng Zhang

World Wide Web (WWW), January, 2025

Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs.

Nan Sun, Xixun Lin, Zhiheng Zhou, Yanmin Shang, Zhenlin Cheng, Yanan Cao

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Deep Graph Neural Point Process for Learning Temporal Interactive Networks.

Su Chen, Xiaohua Qi, Xixun Lin, Yanmin Shang, Xiaolin Xu, Yangxi Li

Proceedings of the Natural Language Processing and Chinese Computing, 2025

FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation.

Yongxuan Wu, Yang Liu, Xixun Lin, Hong Zhou, Yanan Cao, Lixin Zou, Yanmin Shang, Yanbing Liu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Federated Privacy-Preserving for Cross-Domain Sequential Recommendation.

Su Chen, Yan Dong, Yanmin Shang, Xiaolin Xu, Xixun Lin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning.

Yu Liu, Yanan Cao, Xixun Lin, Yanmin Shang, Shi Wang, Shirui Pan

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

RANA: Robust Active Learning for Noisy Network Alignment.

Yixuan Nan, Xixun Lin, Yanmin Shang, Zhuofan Li, Can Zhao, Yanan Cao

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

UniFORM: Towards Unified Framework for Anomaly Detection on Graphs.

Chuancheng Song, Xixun Lin, Hanyang Shen, Yanmin Shang, Yanan Cao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily.

Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu, Shirui Pan

World Wide Web (WWW), May, 2024

2023

Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation.

Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Shirui Pan, Zheng Lin, Qian Li

ACM Trans. Inf. Syst., October, 2023

Multi-Aspect Heterogeneous Graph Augmentation.

Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang

Proceedings of the ACM Web Conference 2023, 2023

2022

API-GNN: attribute preserving oriented interactive graph neural network.

Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu

World Wide Web, 2022

VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily.

Fengzhao Shi, Ren Li, Yanan Cao, Yanmin Shang, Lanxue Zhang, Chuan Zhou, Jia Wu, Shirui Pan

CoRR, 2022

H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections.

Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Task-level Relations Modelling for Graph Meta-learning.

Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

RLINK: Deep reinforcement learning for user identity linkage.

Xiaoxue Li, Yanan Cao, Qian Li, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu

World Wide Web, 2021

Fake News Detection with Heterogenous Deep Graph Convolutional Network.

Zhezhou Kang, Yanan Cao, Yanmin Shang, Tao Liang, Hengzhu Tang, Lingling Tong

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning.

Fangfang Yuan, Teng Tian, Yanmin Shang, Yuhai Lu, Yanbing Liu, Jianlong Tan

Proceedings of the Neural Information Processing - 28th International Conference, 2021

TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network.

Zheng Fang, Yanan Cao, Tai Li, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Data Augmentation for Insider Threat Detection with GAN.

Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

DDNE: Discriminative Distance Metric Learning for Network Embedding.

Xiaoxue Li, Yangxi Li, Yanmin Shang, Lingling Tong, Fang Fang, Pengfei Yin, Jie Cheng, Jing Li

Proceedings of the Computational Science - ICCS 2020, 2020

Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network.

Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

RLINK: Deep Reinforcement Learning for User Identity Linkage.

Xiaoxue Li, Yanan Cao, Yanmin Shang, Yangxi Li, Yanbing Liu, Jianlong Tan

CoRR, 2019

UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation.

Yuchen Zhou, Yanmin Shang, Yaman Cao, Yanbing Liu, Jianlong Tan

Proceedings of the Knowledge Science, Engineering and Management, 2019

PAAE: A Unified Framework for Predicting Anchor Links with Adversarial Embedding.

Yanmin Shang, Zhezhou Kang, Yanan Cao, Dongjie Zhang, Yang Li, Yangxi Li, Yanbing Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Attention-Based LSTM for Insider Threat Detection.

Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan

Proceedings of the Applications and Techniques in Information Security, 2019

2018

Insider Threat Detection with Deep Neural Network.

Fangfang Yuan, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Binxing Fang

Proceedings of the Computational Science - ICCS 2018, 2018

Adversarial Reinforcement Learning for Chinese Text Summarization.

Hao Xu, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo

Proceedings of the Computational Science - ICCS 2018, 2018

Hierarchical Attention Networks for User Profile Inference in Social Media Systems.

Zhezhou Kang, Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Li Guo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network.

Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo

Proceedings of the Knowledge Science, Engineering and Management, 2017

A co-training method for identifying the same person across social networks.

Zheng Fang, Yanan Cao, Yanbing Liu, Jianlong Tan, Li Guo, Yanmin Shang

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

FTM: Recommending the Right Items for User Temporal Interests with Matrix Factorization through Topic Model.

Yanmin Shang, Ke-Fu Xu, Yi Han, Chuang Zhang

Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2013

A New Interest-Sensitive and Network-Sensitive Method for User Recommendation.

Yanmin Shang, Peng Zhang, Yanan Cao

Proceedings of the IEEE Eighth International Conference on Networking, 2013

Behavioral targeting with social regularization.

Yanmin Shang, Peng Zhang, Yanan Cao, Li Guo

Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction.

Fang Wang, Peng Zhang, Yanmin Shang, Yong Shi

Proceedings of the International Conference on Computational Science, 2013

2012

An Improve Genetic Algorithm Based on Fixed Point Algorithms.

Ruizhen Gao, Jingjun Zhang, Yanmin Shang, Yuzhen Dong

J. Comput., 2012

2009

An Improved Genetic Algorithm Based on J1 Subdivision and Fixed Point.

Yuzhen Dong, Jingjun Zhang, Ruizhen Gao, Yanmin Shang

Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009

An Improved Genetic Algorithm Based on Subdivision Theory.

Jingjun Zhang, Yanmin Shang, Ruizhen Gao, Yuzhen Dong

Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

An Improved Genetic Algorithm Based on hK1 Subdivision and Fixed Point.

Yuzhen Dong, Jingjun Zhang, Ruizhen Gao, Yanmin Shang

Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009