An Improved Genetic Algorithm Based on hK1 Subdivision and Fixed Point. - Yuzhen Dong; Jingjun Zhang; Ruizhen Gao; Yanmin Shang (BIFE, 2009)

An Improved Genetic Algorithm Based on Subdivision Theory. - Jingjun Zhang; Yanmin Shang; Ruizhen Gao; Yuzhen Dong (BIFE, 2009)

An Improved Genetic Algorithm Based on J1 Subdivision and Fixed Point. - Yuzhen Dong; Jingjun Zhang; Ruizhen Gao; Yanmin Shang (ISCID (1), 2009)

An Improve Genetic Algorithm Based on Fixed Point Algorithms. - Ruizhen Gao; Jingjun Zhang; Yanmin Shang; Yuzhen Dong (J. Comput., 2012)

The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction. - Fang Wang; Peng Zhang 001; Yanmin Shang; Yong Shi 001 (ICCS, 2013)

Behavioral targeting with social regularization. - Yanmin Shang; Peng Zhang 001; Yanan Cao 001; Li Guo 001 (ISI, 2013)

A New Interest-Sensitive and Network-Sensitive Method for User Recommendation. - Yanmin Shang; Peng Zhang; Yanan Cao (NAS, 2013)

FTM: Recommending the Right Items for User Temporal Interests with Matrix Factorization through Topic Model. - Yanmin Shang; Ke-Fu Xu; Yi Han; Chuang Zhang (DSC, 2016)

A co-training method for identifying the same person across social networks. - Zheng Fang 002; Yanan Cao 001; Yanbing Liu; Jianlong Tan; Li Guo 001; Yanmin Shang (GlobalSIP, 2017)

Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network. - Xiaoxue Li; Yanan Cao 001; Yanmin Shang; Yanbing Liu; Jianlong Tan; Li Guo 001 (KSEM, 2017)

Hierarchical Attention Networks for User Profile Inference in Social Media Systems. - Zhezhou Kang; Xiaoxue Li; Yanan Cao 001; Yanmin Shang; Yanbing Liu; Li Guo 001 (ICANN (3), 2018)

Adversarial Reinforcement Learning for Chinese Text Summarization. - Hao Xu; Yanan Cao 001; Yanmin Shang; Yanbing Liu; Jianlong Tan; Li Guo 001 (ICCS (3), 2018)

Insider Threat Detection with Deep Neural Network. - Fangfang Yuan; Yanan Cao 001; Yanmin Shang; Yanbing Liu; Jianlong Tan; Binxing Fang (ICCS (1), 2018)

Attention-Based LSTM for Insider Threat Detection. - Fangfang Yuan; Yanmin Shang; Yanbing Liu; Yanan Cao 001; Jianlong Tan (ATIS, 2019)

PAAE: A Unified Framework for Predicting Anchor Links with Adversarial Embedding. - Yanmin Shang; Zhezhou Kang; Yanan Cao 001; Dongjie Zhang; Yang Li; Yangxi Li; Yanbing Liu (ICME, 2019)

UAFA: Unsupervised Attribute-Friendship Attention Framework for User Representation. - Yuchen Zhou; Yanmin Shang; Yaman Cao; Yanbing Liu; Jianlong Tan (KSEM (1), 2019)

RLINK: Deep Reinforcement Learning for User Identity Linkage. - Xiaoxue Li; Yanan Cao 001; Yanmin Shang; Yangxi Li; Yanbing Liu; Jianlong Tan (CoRR, 2019)

Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network. - Xiaoxue Li; Yanmin Shang; Yanan Cao 001; Yangxi Li; Jianlong Tan; Yanbing Liu (AAAI, 2020)

DDNE: Discriminative Distance Metric Learning for Network Embedding. - Xiaoxue Li; Yangxi Li; Yanmin Shang; Lingling Tong; Fang Fang 009; Pengfei Yin; Jie Cheng; Jing Li (ICCS (1), 2020)

Data Augmentation for Insider Threat Detection with GAN. - Fangfang Yuan; Yanmin Shang; Yanbing Liu; Yanan Cao 001; Jianlong Tan (ICTAI, 2020)

TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network. - Zheng Fang 002; Yanan Cao 001; Tai Li; Ruipeng Jia; Fang Fang 009; Yanmin Shang; Yuhai Lu (EMNLP (1), 2021)

Malicious Domain Detection on Imbalanced Data with Deep Reinforcement Learning. - Fangfang Yuan; Teng Tian; Yanmin Shang; Yuhai Lu; Yanbing Liu; Jianlong Tan (ICONIP (4), 2021)

Fake News Detection with Heterogenous Deep Graph Convolutional Network. - Zhezhou Kang; Yanan Cao; Yanmin Shang; Tao Liang; Hengzhu Tang; Lingling Tong (PAKDD (1), 2021)

RLINK: Deep reinforcement learning for user identity linkage. - Xiaoxue Li; Yanan Cao 001; Qian Li 003; Yanmin Shang; Yangxi Li; Yanbing Liu; Guandong Xu (World Wide Web, 2021)

Task-level Relations Modelling for Graph Meta-learning. - Yuchen Zhou; Yanan Cao 001; Yanmin Shang; Chuan Zhou 001; Chuancheng Song; Fengzhao Shi; Qian Li 003 (ICDM, 2022)

H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. - Fengzhao Shi; Yanan Cao 001; Yanmin Shang; Yuchen Zhou; Chuan Zhou 001; Jia Wu 001 (WWW, 2022)

VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily. - Fengzhao Shi; Ren Li; Yanan Cao 001; Yanmin Shang; Lanxue Zhang; Chuan Zhou 001; Jia Wu 001; Shirui Pan (CoRR, 2022)

API-GNN: attribute preserving oriented interactive graph neural network. - Yuchen Zhou; Yanmin Shang; Yanan Cao 001; Qian Li 003; Chuan Zhou 001; Guandong Xu (World Wide Web, 2022)

Multi-Aspect Heterogeneous Graph Augmentation. - Yuchen Zhou; Yanan Cao 001; Yongchao Liu; Yanmin Shang; Peng Zhang 001; Zheng Lin 001; Yun Yue; Baokun Wang; Xing Fu; Weiqiang Wang 002 (WWW, 2023)

Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. - Yuchen Zhou; Yanan Cao 001; Yanmin Shang; Chuan Zhou 001; Shirui Pan; Zheng Lin 001; Qian Li 003 (ACM Trans. Inf. Syst., 2023)

VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. - Fengzhao Shi; Yanan Cao 001; Ren Li; Xixun Lin; Yanmin Shang; Chuan Zhou 001; Jia Wu 001; Shirui Pan (World Wide Web (WWW), 2024)

UniFORM: Towards Unified Framework for Anomaly Detection on Graphs. - Chuancheng Song; Xixun Lin; Hanyang Shen; Yanmin Shang; Yanan Cao 001 (AAAI, 2025)

A data-centric framework of improving graph neural networks for knowledge graph embedding. - Yanan Cao 001; Xixun Lin; Yongxuan Wu; Fengzhao Shi; Yanmin Shang; Qingfeng Tan; Chuan Zhou 001; Peng Zhang 001 (World Wide Web (WWW), 2025)

Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs. - Nan Sun; Xixun Lin; Zhiheng Zhou; Yanmin Shang; Zhenlin Cheng; Yanan Cao 001 (CoRR, 2025)

RANA: Robust Active Learning for Noisy Network Alignment. - Yixuan Nan; Xixun Lin; Yanmin Shang; Zhuofan Li; Can Zhao; Yanan Cao 001 (CoRR, 2025)