Yanmin Shang

48 papers A* 8A 2B 1C 2Misc 1Journal 15Unranked 19
YearRankTypeTitle / Venue / Authors
2026 A* conf
Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts.
AAAI
Chuancheng Song, Hanyang Shen, Yan Dong, Xixun Lin, Yanmin Shang, Yanan Cao
2026 A* conf
PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models.
AAAI
Yu Liu, Xixun Lin, Yanmin Shang, Yangxi Li, Shi Wang, Yanan Cao
2025 J jnl
A data-centric framework of improving graph neural networks for knowledge graph embedding.
World Wide Web (WWW)
Yanan Cao, Xixun Lin, Yongxuan Wu, Fengzhao Shi, Yanmin Shang, Qingfeng Tan, Chuan Zhou, Peng Zhang
2025 J jnl
Deep Graph Neural Point Process For Learning Temporal Interactive Networks.
CoRR
Su Chen, Xiaohua Qi, Xixun Lin, Yanmin Shang, Xiaolin Xu, Yangxi Li
2025 — conf
Deep Graph Neural Point Process for Learning Temporal Interactive Networks.
NLPCC (3)
Su Chen, Xiaohua Qi, Xixun Lin, Yanmin Shang, Xiaolin Xu, Yangxi Li
2025 A* conf
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning.
EMNLP
Yu Liu, Yanan Cao, Xixun Lin, Yanmin Shang, Shi Wang, Shirui Pan
2025 J jnl
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning.
CoRR
Yu Liu, Yanan Cao, Xixun Lin, Yanmin Shang, Shi Wang, Shirui Pan
2025 — conf
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs.
ECML/PKDD (1)
Nan Sun, Xixun Lin, Zhiheng Zhou, Yanmin Shang, Zhenlin Cheng, Yanan Cao
2025 J jnl
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs.
CoRR
Nan Sun, Xixun Lin, Zhiheng Zhou, Yanmin Shang, Zhenlin Cheng, Yanan Cao
2025 — conf
FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation.
KDD (2)
Yongxuan Wu, Yang Liu, Xixun Lin, Hong Zhou, Yanan Cao, Lixin Zou, Yanmin Shang, Yanbing Liu
2025 — conf
Federated Privacy-Preserving for Cross-Domain Sequential Recommendation.
ICANN (3)
Su Chen, Yan Dong, Yanmin Shang, Xiaolin Xu, Xixun Lin
2025 J jnl
LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions.
CoRR
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
2025 J jnl
PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models.
CoRR
Yu Liu, Xixun Lin, Yanmin Shang, Yangxi Li, Shi Wang, Yanan Cao
2025 A conf
RANA: Robust Active Learning for Noisy Network Alignment.
ECAI
Yixuan Nan, Xixun Lin, Yanmin Shang, Zhuofan Li, Can Zhao, Yanan Cao
2025 J jnl
RANA: Robust Active Learning for Noisy Network Alignment.
CoRR
Yixuan Nan, Xixun Lin, Yanmin Shang, Zhuofan Li, Can Zhao, Yanan Cao
2025 A* conf
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs.
AAAI
Chuancheng Song, Xixun Lin, Hanyang Shen, Yanmin Shang, Yanan Cao
2025 J jnl
V-ITI: Mitigating Hallucinations in Multimodal Large Language Models via Visual Inference-Time Intervention.
CoRR
Nan Sun, Zhenyu Zhang, Xixun Lin, Kun Wang, Yanmin Shang, Naibin Gu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang, Yanan Cao
2024 J jnl
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily.
World Wide Web (WWW)
Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu, Shirui Pan
2023 J jnl
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation.
ACM Trans. Inf. Syst.
Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Shirui Pan, Zheng Lin, Qian Li
2023 A* conf
Multi-Aspect Heterogeneous Graph Augmentation.
WWW
Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang
2022 J jnl
API-GNN: attribute preserving oriented interactive graph neural network.
World Wide Web
Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu
2022 A* conf
H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections.
WWW
Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu
2022 A* conf
Task-level Relations Modelling for Graph Meta-learning.
ICDM
Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li
2022 J jnl
VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily.
CoRR
Fengzhao Shi, Ren Li, Yanan Cao, Yanmin Shang, Lanxue Zhang, Chuan Zhou, Jia Wu, Shirui Pan
2021 — conf
Fake News Detection with Heterogenous Deep Graph Convolutional Network.
PAKDD (1)
Zhezhou Kang, Yanan Cao, Yanmin Shang, Tao Liang, Hengzhu Tang, Lingling Tong
2021 — conf
Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning.
ICONIP (4)
Fangfang Yuan, Teng Tian, Yanmin Shang, Yuhai Lu, Yanbing Liu, Jianlong Tan
2021 J jnl
RLINK: Deep reinforcement learning for user identity linkage.
World Wide Web
Xiaoxue Li, Yanan Cao, Qian Li, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu
2021 — conf
TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network.
EMNLP (1)
Zheng Fang, Yanan Cao, Tai Li, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu
2020 — conf
DDNE: Discriminative Distance Metric Learning for Network Embedding.
ICCS (1)
Xiaoxue Li, Yangxi Li, Yanmin Shang, Lingling Tong, Fang Fang, Pengfei Yin, Jie Cheng, Jing Li
2020 B conf
Data Augmentation for Insider Threat Detection with GAN.
ICTAI
Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan
2020 A* conf
Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network.
AAAI
Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu
2019 — conf
Attention-Based LSTM for Insider Threat Detection.
ATIS
Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan
2019 A conf
PAAE: A Unified Framework for Predicting Anchor Links with Adversarial Embedding.
ICME
Yanmin Shang, Zhezhou Kang, Yanan Cao, Dongjie Zhang, Yang Li, Yangxi Li, Yanbing Liu
2019 J jnl
RLINK: Deep Reinforcement Learning for User Identity Linkage.
CoRR
Xiaoxue Li, Yanan Cao, Yanmin Shang, Yangxi Li, Yanbing Liu, Jianlong Tan
2019 — conf
UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation.
KSEM (1)
Yuchen Zhou, Yanmin Shang, Yaman Cao, Yanbing Liu, Jianlong Tan
2018 — conf
Adversarial Reinforcement Learning for Chinese Text Summarization.
ICCS (3)
Hao Xu, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo
2018 — conf
Hierarchical Attention Networks for User Profile Inference in Social Media Systems.
ICANN (3)
Zhezhou Kang, Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Li Guo
2018 — conf
Insider Threat Detection with Deep Neural Network.
ICCS (1)
Fangfang Yuan, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Binxing Fang
2017 — conf
A co-training method for identifying the same person across social networks.
GlobalSIP
Zheng Fang, Yanan Cao, Yanbing Liu, Jianlong Tan, Li Guo, Yanmin Shang
2017 C conf
Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network.
KSEM
Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo
2016 — conf
FTM: Recommending the Right Items for User Temporal Interests with Matrix Factorization through Topic Model.
DSC
Yanmin Shang, Ke-Fu Xu, Yi Han, Chuang Zhang
2013 — conf
A New Interest-Sensitive and Network-Sensitive Method for User Recommendation.
NAS
Yanmin Shang, Peng Zhang, Yanan Cao
2013 C conf
Behavioral targeting with social regularization.
ISI
Yanmin Shang, Peng Zhang, Yanan Cao, Li Guo
2013 Misc conf
The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction.
ICCS
Fang Wang, Peng Zhang, Yanmin Shang, Yong Shi
2012 J jnl
An Improve Genetic Algorithm Based on Fixed Point Algorithms.
J. Comput.
Ruizhen Gao, Jingjun Zhang, Yanmin Shang, Yuzhen Dong
2009 — conf
An Improved Genetic Algorithm Based on J1 Subdivision and Fixed Point.
ISCID (1)
Yuzhen Dong, Jingjun Zhang, Ruizhen Gao, Yanmin Shang
2009 — conf
An Improved Genetic Algorithm Based on Subdivision Theory.
BIFE
Jingjun Zhang, Yanmin Shang, Ruizhen Gao, Yuzhen Dong
2009 — conf
An Improved Genetic Algorithm Based on hK1 Subdivision and Fixed Point.
BIFE
Yuzhen Dong, Jingjun Zhang, Ruizhen Gao, Yanmin Shang