冯珊珊｜山东师范大学｜学者主页

2026

A user trajectory simulation framework for next POI recommendation with uncertain check-ins

Chen Li, Guoyan Huang, Shanshan Feng, Zhu Sun

Neural Networks

DOI

2026

A Generalized Debiasing Framework to Remove Mixing Bias in Recommender Systems

Xiaodong Dai, Jingya Feng, Liang Wen, Huaxiang Zhang, Zhaocheng Liu, Shanshan Feng

Communications in computer and information science

DOI

2025

Accident investigation via LLMs reasoning: HFACS-guided Chain-of-Thoughts enhance general aviation safety

Qingli Liu, Fan Li, Kam K. H. Ng, Jiashu Han, Shanshan Feng

Expert Systems With Applications，Vol. 269

DOI

2025

基于多尺度特征和增强混合注意力机制的材料SEM图像检索方法

曾凡运，廉贺淳，冯珊珊，王庆梅

《计算机科学》

2025

PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins

Chen Li, Guoyan Huang, Zhu Sun, Lu Zhang, Shanshan Feng, Guanfeng Liu

Neural Networks

DOI

2025

COSTA: Contrastive Spatial and Temporal Debiasing framework for next POI recommendation

Yu Lei, Limin Shen, Zhu Sun, Tiantian He, Shanshan Feng, Guanfeng Liu

Neural Networks

DOI

2025

MGSTDN: Multi-Granularity Spatial-Temporal Diffusion Network for Next POI Recommendation

Zhuang Zhuang, Hai-Tao Yuan, Shanshan Feng, Heng Qi, Yanming Shen, Bao-Cai Yin

International Conference on Information and Knowledge Management

DOI

2025

A group recommendation method based on automatically integrating members' preferences via taking advantages of LLM

Shanshan Feng, Zeping Lang, Jing He, Huaxiang Zhang, Wenjuan Chen, Jian Cao

Information Sciences

DOI

2024

Characterizing pituitary adenomas in clinical notes: Corpus construction and its application in LLMs

Jiahui Hu, Jin Fu, Wanqing Zhao, Pei Lou, Ming Feng, Huiling Ren, Shanshan Feng, Yansheng Li, An Fang

Health Informatics Journal，Vol. 30, No. 4

DOI

2024

FLBC-DSS: Federated Learning-Enabled Blockchain-Based Data Sharing Scheme for IIoT

Yan Yao, Guangshun Li, Huihui Zhang, Shanshan Feng, Biwei Yan, Jian Cao

International Conference on Behavioural and Social Computing (BESC)

DOI

2023

MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation

Xuemeng Song, Chun Wang, Chang-Chang Sun, Shanshan Feng, Min Zhou, Li-Qiang Nie

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity

Shanshan Feng, Lisi Chen, Kai-Qi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Future Event Prediction Based on Temporal Knowledge Graph Embedding

Zhi-Peng Li, Shanshan Feng, Jun Shi, Yang Zhou, Yong Liao, Yangzhao Yang, Yangyang Li, Neng-Hai Yu, Xun Shao

Computer systems science and engineering

DOI

2023

H-Diffu: Hyperbolic Representations for Information Diffusion Prediction

Shanshan Feng, Kai-Qi Zhao, Lanting Fang, Kai-Yu Feng, Wei Wei, Xu-Tao Li, Ling Shao

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction

Hong-Liang Qiao, Shanshan Feng, Xu-Tao Li, Huiwei Lin, Han Hu, Wei Wei, Yun-Ming Ye

International Conference on Information and Knowledge Management

DOI

2023

User Preference Learning based on Automatic Environment Classification for General Debiasing in Recommendation Systems

Chengshan Yan, Shanshan Feng, Jian Cao, Yan Yao, Huaxiang Zhang

IEEE ... International Conference on Data Mining workshops

DOI

2022

RecNet: A Resource-Constraint Aware Neural Network for Used Car Recommendation

Haihua Shi, J. Qian, Nengjun Zhu, Tong Zhang, Zhen Cui, Qian-Liang Wu, Shanshan Feng

International Journal of Computational Intelligence Systems

DOI

2022

Enhancing Hyperbolic Graph Embeddings via Contrastive Learning

Jia-Hong Liu, Menglin Yang, Min Zhou, Shanshan Feng, P. Fournier-Viger

arXiv.org

2022

A personalized recommendation method based on collaborative ranking with random walk

Runqing Jiang, Shanshan Feng, Shoujia Zhang, Xi Li, Yan Yao, Huaxiang Zhang

Multimedia tools and applications

DOI

2022

Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs

Yuan Sui, Shanshan Feng, Huaxiang Zhang, Jian Cao, Liang Hu, Nengjun Zhu

Knowledge-Based Systems

DOI

2021

Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage

Xiao-Lin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Li-Qiang Nie

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2021

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation

Sanshi Lei Yu, Zhuo-Xuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jin-Feng Yi

Knowledge Discovery and Data Mining

DOI

2020

An explorative context-aware machine learning approach to reducing human fatigue risk of traffic control operators

Fan Li, Chun-Hsien Chen, Pai Zheng, Shanshan Feng, Gangyan Xu, Li Pheng Khoo

Safety Science，Vol. 1250

DOI

2020

Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation

Ziyang Wang, Wei Wei, Gao Cong, Xian-Ling Mao, Xiao-Li Li, Shanshan Feng

arXiv.org

2020

User-based Network Embedding for Collective Opinion Spammer Detection

Ziyang Wang, Wei Wei, Xian-Ling Mao, G. Guo, Pan Zhou, Shanshan Feng

arXiv.org

2020

Exploiting Group-Level Behavior Pattern for Session-Based Recommendation

Ziyang Wang, Wei Wei, Shanshan Feng, Xian-Ling Mao, Minghui Qiu, Dang-Yang Chen, Rui Fang

IEEE Transactions on Knowledge and Data Engineering

DOI

2019

Anchor Link Prediction across Attributed Networks via Network Embedding

Shao-Kai Wang, Xu-Tao Li, Yun-Ming Ye, Shanshan Feng, R. Lau, Xiaohui Huang, Xiao-Lin Du

Entropy

DOI

2019

Detecting the latent associations hidden in multi-source information for better group recommendation

Shanshan Feng, Huaxiang Zhang, Lei Wang, Li Liu, Yuchang Xu

Knowledge-Based Systems

DOI

2019

Leveraging Kernel-Incorporated Matrix Factorization for App Recommendation

Chenyang Liu, Jian Cao, Shanshan Feng

ACM Transactions on Knowledge Discovery from Data

DOI

2018

Budget-Efficient Viral Video Distribution Over Online Social Networks: Mining Topic-Aware Influential Users

Han Hu, Yong-Gang Wen, Shanshan Feng

IEEE transactions on circuits and systems for video technology (Print)

DOI

2018

Inf2vec: Latent Representation Model for Social Influence Embedding

Shanshan Feng, G. Cong, Arijit Khan, Xiucheng Li, Yong Liu, Y. Chee

IEEE International Conference on Data Engineering

DOI

2018

Merging user social network into the random walk model for better group recommendation

Shanshan Feng, Huaxiang Zhang, Jian Cao, Yan Yao

Applied Intelligence

DOI

2018

Decentralized executions of privacy awareness data analytics workflows in the cloud

Yan Yao, Jian Cao, Shiyou Qian, Shanshan Feng

Concurrency and Computation Practice and Experience

DOI

2017

Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data

Zhuo-Xuan Jiang, Shanshan Feng, Weizheng Chen, Guang-Tao Wang, Xiaoming Li

Pacific-Asia Conference on Knowledge Discovery and Data Mining

DOI

2017

A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC

Zhuo-Xuan Jiang, Shanshan Feng, G. Cong, C. Miao, Xiaoming Li

Conference on Empirical Methods in Natural Language Processing

DOI

2017

POI2Vec: Geographical Latent Representation for Predicting Future Visitors

Shanshan Feng, G. Cong, Bo An, Y. Chee

AAAI Conference on Artificial Intelligence

DOI

2017

Latent representation models for user sequential mobility and social influence propagation

Shanshan Feng

DOI

2015

Personalized Ranking Metric Embedding for Next New POI Recommendation

Shanshan Feng, Xutao Li, Yifeng Zeng, G. Cong, Y. Chee, Quan Yuan

International Joint Conference on Artificial Intelligence

2014

Influence Maximization with Novelty Decay in Social Networks

Shanshan Feng, Xuefeng Chen, G. Cong, Yifeng Zeng, Y. Chee, Yanping Xiang

AAAI Conference on Artificial Intelligence

DOI

精选作品

期刊论文

A user trajectory simulation framework for next POI recommendation with uncertain check-ins

A Generalized Debiasing Framework to Remove Mixing Bias in Recommender Systems

Accident investigation via LLMs reasoning: HFACS-guided Chain-of-Thoughts enhance general aviation safety

基于多尺度特征和增强混合注意力机制的材料SEM图像检索方法

PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins

COSTA: Contrastive Spatial and Temporal Debiasing framework for next POI recommendation

MGSTDN: Multi-Granularity Spatial-Temporal Diffusion Network for Next POI Recommendation

A group recommendation method based on automatically integrating members' preferences via taking advantages of LLM

Characterizing pituitary adenomas in clinical notes: Corpus construction and its application in LLMs

FLBC-DSS: Federated Learning-Enabled Blockchain-Based Data Sharing Scheme for IIoT

MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation

ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity

Future Event Prediction Based on Temporal Knowledge Graph Embedding

H-Diffu: Hyperbolic Representations for Information Diffusion Prediction

RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction

User Preference Learning based on Automatic Environment Classification for General Debiasing in Recommendation Systems

RecNet: A Resource-Constraint Aware Neural Network for Used Car Recommendation

Enhancing Hyperbolic Graph Embeddings via Contrastive Learning

A personalized recommendation method based on collaborative ranking with random walk

Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs

Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation

An explorative context-aware machine learning approach to reducing human fatigue risk of traffic control operators

Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation

User-based Network Embedding for Collective Opinion Spammer Detection

Exploiting Group-Level Behavior Pattern for Session-Based Recommendation

Anchor Link Prediction across Attributed Networks via Network Embedding

Detecting the latent associations hidden in multi-source information for better group recommendation

Leveraging Kernel-Incorporated Matrix Factorization for App Recommendation

Budget-Efficient Viral Video Distribution Over Online Social Networks: Mining Topic-Aware Influential Users

Inf2vec: Latent Representation Model for Social Influence Embedding

Merging user social network into the random walk model for better group recommendation

Decentralized executions of privacy awareness data analytics workflows in the cloud

Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data

A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC

POI2Vec: Geographical Latent Representation for Predicting Future Visitors

Latent representation models for user sequential mobility and social influence propagation

Personalized Ranking Metric Embedding for Next New POI Recommendation

Influence Maximization with Novelty Decay in Social Networks