An EPN-based Method for Web Service Composition. - Min Gao 001; Lily Sun; Zhongfu Wu; Feng Jiang 006 (NAS, 2008)

Personalized Context-Aware Collaborative Filtering Based on Neural Network and Slope One. - Min Gao 001; Zhongfu Wu (CDVE, 2009)

EPN-Based Web Service Composition Approach. - Min Gao 001; Zhongfu Wu (WISM, 2009)

Personalisation in web computing and informatics: Theories, techniques, applications, and future research. - Min Gao 001; Kecheng Liu; Zhongfu Wu (Inf. Syst. Frontiers, 2010)

Incorporating Personalized Contextual Information in Item-based Collaborative Filtering Recommendation. - Min Gao 001; Zhongfu Wu (J. Softw., 2010)

Userrank for item-based collaborative filtering recommendation. - Min Gao 001; Zhongfu Wu; Feng Jiang 006 (Inf. Process. Lett., 2011)

User-Weight Model for Item-based Recommendation Systems. - Min Gao 001; Yunqing Fu; Yixiong Chen; Feng Jiang 006 (J. Softw., 2012)

A Hybrid Trust Degree Model in Social Network for Recommender System. - Jun Zeng 003; Min Gao 001; Junhao Wen 001; Sachio Hirokawa (IIAI-AAI, 2014)

A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems. - Wei Zhou 028; Junhao Wen 001; Min Gao 001; Ling Liu 001; Haini Cai; Xibin Wang (KSEM, 2015)

Robust Social Recommendation Techniques: A Review. - Feng Jiang 006; Min Gao 001; Qingyu Xiong; Junhao Wen 001; Yi Zhang (ICISO, 2016)

Shilling Attacks Analysis in Collaborative Filtering Based Web Service Recommendation Systems. - Xiang Li; Min Gao 001; Wenge Rong; Qingyu Xiong; Junhao Wen 001 (ICWS, 2016)

Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning. - Wentao Li 001; Min Gao 001; Hua Li; Qingyu Xiong; Junhao Wen 001; Zhongfu Wu (IJCNN, 2016)

LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning. - Wentao Li 001; Min Gao 001; Wenge Rong; Junhao Wen 001; Qingyu Xiong; Bin Ling (KSEM, 2016)

Research Fronts of Robust Social Recommendation. - Feng Jiang 006; Min Gao 001; Wentao Li 001 (ICSS, 2016)

Video Recognition of Human Fall Based on Spatiotemporal Features. - Kai Wang 003; Youjin Zhao; Qingyu Xiong; Xiling Shen; Min Fan; Min Gao 001 (Intell. Autom. Soft Comput., 2016)

Shilling Attack Detection in Recommender Systems via Selecting Patterns Analysis. - Wentao Li 001; Min Gao 001; Hua Li; Jun Zeng 003; Qingyu Xiong; Sachio Hirokawa (IEICE Trans. Inf. Syst., 2016)

SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems. - Wei Zhou 028; Junhao Wen 001; Qingyu Xiong; Min Gao 001; Jun Zeng 003 (Neurocomputing, 2016)

Receding horizon guaranteed cost control for norm-bounded uncertain systems with actuator saturation. - Jiaqi Zhong; Shan Liang; Qingyu Xiong; Min Gao 001; Kai Wang 003 (CCTA, 2017)

Visual and Audio Aware Bi-Modal Video Emotion Recognition. - Siqi Xiang; Wenge Rong; Zhang Xiong 001; Min Gao 001; Qingyu Xiong (CogSci, 2017)

Collaborative Shilling Detection Bridging Factorization and User Embedding. - Tong Dou; Junliang Yu; Qingyu Xiong; Min Gao 001; Yuqi Song; Qianqi Fang (CollaborateCom, 2017)

PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning. - Yuqi Song; Min Gao 001; Junliang Yu; Wentao Li 001; Lulan Yu; Xinyu Xiao (CollaborateCom, 2017)

Integrating User Embedding and Collaborative Filtering for Social Recommendations. - Junliang Yu; Min Gao 001; Yuqi Song; Qianqi Fang; Wenge Rong; Qingyu Xiong (CollaborateCom, 2017)

Impact of the Important Users on Social Recommendation System. - Zehua Zhao; Min Gao 001; Junliang Yu; Yuqi Song; Xinyi Wang 008; Min Zhang (CollaborateCom, 2017)

Attention Aware Semi-supervised Framework for Sentiment Analysis. - Jingshuang Liu; Wenge Rong; Chuan Tian; Min Gao 001; Zhang Xiong 001 (ICANN (2), 2017)

PUD: Social Spammer Detection Based on PU Learning. - Yuqi Song; Min Gao 001; Junliang Yu; Wentao Li 001; Junhao Wen 001; Qingyu Xiong (ICONIP (5), 2017)

Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning. - Junliang Yu; Min Gao 001; Wenge Rong; Yuqi Song; Qianqi Fang; Qingyu Xiong (ICONIP (5), 2017)

Important User Group Based Web Service Recommendation. - Lulan Yu; Min Gao 001; Xinyu Xiao; Xiang Li; Qingyu Xiong (IIAI-AAI, 2017)

Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models. - Nan Jiang 010; Wenge Rong; Min Gao 001; Yikang Shen; Zhang Xiong 001 (IJCAI, 2017)

Social recommendation using Euclidean embedding. - Wentao Li 001; Min Gao 001; Wenge Rong; Junhao Wen 001; Qingyu Xiong; Ruixi Jia; Tong Dou (IJCNN, 2017)

When diary meets lifelog video. - Min Gao 001; Jiande Sun 001; En Yu; Xiao Dong; Jing Li 046 (ISPACS, 2017)

Connecting Factorization and Distance Metric Learning for Social Recommendations. - Junliang Yu; Min Gao 001; Yuqi Song; Zehua Zhao; Wenge Rong; Qingyu Xiong (KSEM, 2017)

Semi-supervised Distance Consistent Cross-modal Retrieval. - Xiao Dong; En Yu; Min Gao 001; Lei Zhu 002; Jiande Sun 001; Huaxiang Zhang 001 (VSCC@MM, 2017)

Shandong Normal University in the VTT Tasks at TRECVID 2017. - En Yu; Min Gao 001; Yafei Li; Xiao Dong; Jiande Sun 001 (TRECVID, 2017)

A Social Recommender Based on Factorization and Distance Metric Learning. - Junliang Yu; Min Gao 001; Wenge Rong; Yuqi Song; Qingyu Xiong (IEEE Access, 2017)

The Performance of Location Aware Shilling Attacks in Web Service Recommendation. - Min Gao 001; Xiang Li; Wenge Rong; Junhao Wen 001; Qingyu Xiong (Int. J. Web Serv. Res., 2017)

A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side. - Shun Li; Junhao Wen 001; Fengji Luo; Min Gao 001; Jun Zeng 003; Zhao Yang Dong (IEEE Trans. Netw. Serv. Manag., 2017)

Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. - Junliang Yu; Min Gao 001; Jundong Li; Hongzhi Yin; Huan Liu 001 (CIKM, 2018)

Social Recommendation Based on Implicit Friends Discovering Via Meta-Path. - Yuqi Song; Min Gao 001; Junliang Yu; Qingyu Xiong (ICTAI, 2018)

Detection of Shilling Attack Based on Bayesian Model and User Embedding. - Fan Yang; Min Gao 001; Junliang Yu; Yuqi Song; Xinyi Wang 008 (ICTAI, 2018)

Shandong Normal University in the VTT Tasks at TRECVID 2018. - Cheng Liu; Min Gao 001; Jun Wang 061; Liming Zou; En Yu; Jiande Sun 001; Lingchen Gu; Xiaoxi Liu; Yu Lu; Yu Zhang 009; Xueqi Zhao (TRECVID, 2018)

融合矩阵分解与距离度量学习的社会化推荐算法 (Social Recommendation Method Integrating Matrix Factorization and Distance Metric Learning). - Junhao Wen 001; Dawen Dai; Junliang Yu; Min Gao 001; Yihao Zhang 002 (计算机科学, 2018)

Applications of Formal And Semi-formal Verification on Software Testing, High-level Synthesis And Energy Internet. - Min Gao 001 (2018)

Tourism Service Recommendation Based on User Influence in Social Networks and Time Series. - Jianxin Ye; Qingyu Xiong; Qiude Li; Min Gao 001; Rui Xu (HPCC/SmartCity/DSS, 2019)

A System for Calculating the Amount of Motion Based on 3D Pose Estimation. - Yu Huo; Liming Zou; Min Gao 001; Jun Wang 061; Xin Guo; Jiande Sun 001 (ICAIS (2), 2019)

Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. - Junliang Yu; Min Gao 001; Hongzhi Yin; Jundong Li; Chongming Gao; Qinyong Wang (ICDM, 2019)

SRRL: Select Reliable Friends for Social Recommendation with Reinforcement Learning. - Zhenni Lu; Min Gao 001; Xinyi Wang 008; Junwei Zhang 004; Haider Ali; Qingyu Xiong (ICONIP (2), 2019)

DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation. - Xinyi Wang 008; Min Gao 001; Zhenni Lu; Zongwei Wang 002; Junwei Zhang 004; Yi Zhang (ICONIP (4), 2019)

A Novel Random Forest and its Application on Classification of Air Quality. - Hualing Yi; Qingyu Xiong; Qinghong Zou; Rui Xu; Kai Wang 003; Min Gao 001 (IIAI-AAI, 2019)

A Method for Two-Dimensional Temperature Distribution Reconstruction Using Compactly Supported and Gaussian Radial Basis Function. - Yang Yu 033; Qingyu Xiong; Rui Xu; Min Gao 001; Chaoyin Li; Kai Wang 003 (IIAI-AAI, 2019)

Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation. - Junwei Zhang 004; Min Gao 001; Junliang Yu; Xinyi Wang 008; Yuqi Song; Qingyu Xiong (IJCNN, 2019)

A Minimax Game for Generative and Discriminative Sample Models for Recommendation. - Zongwei Wang 002; Min Gao 001; Xinyi Wang 008; Junliang Yu; Junhao Wen 001; Qingyu Xiong (PAKDD (2), 2019)

No-Reference Stereoscopic Image Quality Assessment Based on Visual Attention and Perception. - Yafei Li; Feng Yang 009; Wenbo Wan; Jun Wang 061; Min Gao 001; Jia Zhang 001; Jiande Sun 001 (IEEE Access, 2019)

From similarity perspective: a robust collaborative filtering approach for service recommendations. - Min Gao 001; Bin Ling; Linda Yang 002; Junhao Wen 001; Qingyu Xiong; Shun Li (Frontiers Comput. Sci., 2019)

A novel coverless information hiding method based on the average pixel value of the sub-images. - Liming Zou; Jiande Sun 001; Min Gao 001; Wenbo Wan; Brij Bhooshan Gupta (Multim. Tools Appl., 2019)

Using fine-tuned conditional probabilities for data transformation of nominal attributes. - Qiude Li; Qingyu Xiong; Shengfen Ji; Junhao Wen 001; Min Gao 001; Yang Yu 033; Rui Xu (Pattern Recognit. Lett., 2019)

Robustness Analysis of Triangle Relations Attack in Social Recommender Systems. - Jia Wang; Min Gao 001; Zongwei Wang 002; Runsheng Wang; Junhao Wen 001 (CLOUD, 2020)

JUST-BPR: Identify Implicit Friends with Jump and Stay for Social Recommendation. - Runsheng Wang; Min Gao 001; Junwei Zhang 004; Quanwu Zhao (ICONIP (3), 2020)

Multi-modal cyberbullying detection on social networks. - Kaige Wang; Qingyu Xiong; Chao Wu 015; Min Gao 001; Yang Yu 033 (IJCNN, 2020)

LSHWE: Improving Similarity-Based Word Embedding with Locality Sensitive Hashing for Cyberbullying Detection. - Zehua Zhao; Min Gao 001; Fengji Luo; Yi Zhang; Qingyu Xiong (IJCNN, 2020)

Enhance Social Recommendation with Adversarial Graph Convolutional Networks. - Junliang Yu; Hongzhi Yin; Jundong Li; Min Gao 001; Zi Huang; Lizhen Cui (CoRR, 2020)

Reconstruction of high-resolution 6x6-mm OCT angiograms using deep learning. - Min Gao 001; Yukun Guo; Tristan T. Hormel; Jiande Sun 001; Thomas S. Hwang; Yali Jia (CoRR, 2020)

Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges. - Amrita Bhattacharjee; Kai Shu; Min Gao 001; Huan Liu 001 (CoRR, 2020)

Image super-resolution based on two-level residual learning CNN. - Min Gao 001; Xian-Hua Han; Jing Li 046; Hui Ji; Huaxiang Zhang 001; Jiande Sun 001 (Multim. Tools Appl., 2020)

Multi-view heterogeneous fusion and embedding for categorical attributes on mixed data. - Qiude Li; Qingyu Xiong; Shengfen Ji; Min Gao 001; Yang Yu 033; Chao Wu 015 (Soft Comput., 2020)

Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System. - Hanwen Zhang; Wei Zhou 028; Junhao Wen 001; Ling Liu 001; Jun Zeng 003; Min Gao 001 (SCC, 2021)

Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. - Junwei Zhang 004; Min Gao 001; Junliang Yu; Lei Guo 008; Jundong Li; Hongzhi Yin (CIKM, 2021)

PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems. - Meiling Chao; Min Gao 001; Junwei Zhang 004; Zongwei Wang 002; Quanwu Zhao; Yulin He (CollaborateCom (2), 2021)

Fine-Grained Spatial-Temporal Representation Learning with Missing Data Completion for Traffic Flow Prediction. - Shiqi Wang 018; Min Gao 001; Zongwei Wang 002; Jia Wang; Fan Wu; Junhao Wen 001 (CollaborateCom (1), 2021)

The Missing POI Completion Based on Bidirectional Masked Trajectory Model. - Jun Zeng 003; Yizhu Zhao; Yang Yu 033; Min Gao 001; Wei Zhou 028 (CollaborateCom (1), 2021)

DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning. - Tianfu Wang 002; Qilin Fan; Xiuhua Li; Xu Zhang 006; Qingyu Xiong; Shu Fu; Min Gao 001 (ICC, 2021)

Manipulating Black-Box Networks for Centrality Promotion. - Wentao Li 001; Min Gao 001; Fan Wu; Wenge Rong; Junhao Wen 001; Lu Qin 001 (ICDE, 2021)

DAFD: Domain Adaptation Framework for Fake News Detection. - Yinqiu Huang; Min Gao 001; Jia Wang; Kai Shu (ICONIP (1), 2021)

MSPLD: Shilling Attack Detection Model Based on Meta Self-Paced Learning. - Yanjing Yang; Min Gao 001; Yuerang Li; Fan Wu; Jia Wang; Quanwu Zhao (IJCNN, 2021)

Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing. - Juan Yao; Jun Zeng 003; Junhao Wen 001; Wei Zhou 028; Min Gao 001 (IJCNN, 2021)

Socially-Aware Self-Supervised Tri-Training for Recommendation. - Junliang Yu; Hongzhi Yin; Min Gao 001; Xin Xia 013; Xiangliang Zhang 001; Nguyen Quoc Viet Hung (KDD, 2021)

Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack. - Fan Wu; Min Gao 001; Junliang Yu; Zongwei Wang 002; Kecheng Liu; Wange Xu (CoRR, 2021)

Incremental semi-supervised Extreme Learning Machine for Mixed data stream classification. - Qiude Li; Qingyu Xiong; Shengfen Ji; Yang Yu 033; Chao Wu 015; Min Gao 001 (Expert Syst. Appl., 2021)

Residual attention and other aspects module for aspect-based sentiment analysis. - Chao Wu 015; Qingyu Xiong; Zhengyi Yang 003; Min Gao 001; Qiude Li; Yang Yu 033; Kaige Wang; Qiwu Zhu (Neurocomputing, 2021)

Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling. - Junwei Zhang 004; Min Gao 001; Junliang Yu; Linda Yang 002; Zongwei Wang 002; Qingyu Xiong (Neurocomputing, 2021)

Recommender systems based on generative adversarial networks: A problem-driven perspective. - Min Gao 001; Junwei Zhang 004; Junliang Yu; Jundong Li; Junhao Wen 001; Qingyu Xiong (Inf. Sci., 2021)

Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack. - Fan Wu; Min Gao 001; Junliang Yu; Zongwei Wang 002; Kecheng Liu; Xu Wang (Inf. Sci., 2021)

Fusing hypergraph spectral features for shilling attack detection. - Hao Li; Min Gao 001; Fengtao Zhou; Yueyang Wang; Qilin Fan; Linda Yang 002 (J. Inf. Secur. Appl., 2021)

A relative position attention network for aspect-based sentiment analysis. - Chao Wu 015; Qingyu Xiong; Min Gao 001; Qiude Li; Yang Yu 033; Kaige Wang (Knowl. Inf. Syst., 2021)

Multiple-element joint detection for Aspect-Based Sentiment Analysis. - Chao Wu 015; Qingyu Xiong; Hualing Yi; Yang Yu 033; Qiwu Zhu; Min Gao 001; Jie Chen (Knowl. Based Syst., 2021)

PR-RCUC: A POI Recommendation Model Using Region-Based Collaborative Filtering and User-Based Mobile Context. - Jun Zeng 003; Haoran Tang; Yizhu Zhao; Min Gao 001; Junhao Wen 001 (Mob. Networks Appl., 2021)

Krylov Subspace Methods for Regularized Models in Acoustic Temperature Reconstruction From Simulated and Real Measurements. - Yang Yu 033; Qingyu Xiong; Mei Yang; Chao Wu 015; Qiwu Zhu; Kai Wang 003; Min Gao 001 (IEEE Trans. Instrum. Meas., 2021)

A Flow Prediction Model of Bike-Sharing Based on Cycling Context. - Yizhu Zhao; Jun Zeng 003; Min Gao 001; Wei Zhou 028; Junhao Wen 001 (CollaborateCom (1), 2022)

Manipulating Structural Graph Clustering. - Wentao Li 001; Min Gao 001; Dong Wen 001; Hongwei Zhou; Cai Ke; Lu Qin 001 (ICDE, 2022)

ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction. - Liang Zhao; Min Gao 001; Zongwei Wang 002 (WSDM, 2022)

Ada: Adversarial learning based data augmentation for malicious users detection. - Jia Wang; Min Gao 001; Zongwei Wang 002; Chenghua Lin; Wei Zhou 028; Junhao Wen 001 (Appl. Soft Comput., 2022)

Addressing the Extreme Cold-Start Problem in Group Recommendation. - Linxin Guo; Yinghui Tao; Min Gao 001; Junliang Yu; Liang Zhao; Wentao Li 001 (CoRR, 2022)

Quick Graph Conversion for Robust Recommendation. - Zongwei Wang 002; Min Gao 001; Wentao Li 001 (CoRR, 2022)

BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model. - Jun Zeng 003; Yizhu Zhao; Yang Yu 033; Min Gao 001; Wei Zhou 028; Junhao Wen 001 (EURASIP J. Wirel. Commun. Netw., 2022)

Multi-interaction fusion collaborative filtering for social recommendation. - Xinyu Xiao; Junhao Wen 001; Wei Zhou 028; Fengji Luo; Min Gao 001; Jun Zeng 003 (Expert Syst. Appl., 2022)

SocialLGN: Light graph convolution network for social recommendation. - Jie Liao; Wei Zhou 028; Fengji Luo; Junhao Wen 001; Min Gao 001; Xiuhua Li; Jun Zeng 003 (Inf. Sci., 2022)

A service composition method using improved hybrid teaching learning optimization algorithm in cloud manufacturing. - Jun Zeng 003; Juan Yao; Min Gao 001; Junhao Wen 001 (J. Cloud Comput., 2022)

Gray-Box Shilling Attack: An Adversarial Learning Approach. - Zongwei Wang 002; Min Gao 001; Jundong Li; Junwei Zhang 004; Jiang Zhong (ACM Trans. Intell. Syst. Technol., 2022)

Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. - Junliang Yu; Hongzhi Yin; Jundong Li; Min Gao 001; Zi Huang; Lizhen Cui (IEEE Trans. Knowl. Data Eng., 2022)

Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation. - Shutong Qiao; Wei Zhou 028; Junhao Wen 001; Hongyu Zhang 002; Min Gao 001 (CIKM, 2023)

Dynamic Target User Selection Model for Market Promotion with Multiple Stakeholders. - Linxin Guo; Shiqi Wang 018; Min Gao 001; Chongming Gao (CollaborateCom (3), 2023)

What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy. - Hongwei Zhou; Min Gao 001; Zongwei Wang 002; Linxin Guo; Yinghui Tao; Wentao Li 001 (ICTAI, 2023)

Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation. - Hongjin Tao; Jun Zeng 003; Ziwei Wang; Min Gao 001; Junhao Wen 001 (ICWS, 2023)

Efficient Bi-Level Optimization for Recommendation Denoising. - Zongwei Wang 002; Min Gao 001; Wentao Li 001; Junliang Yu; Linxin Guo; Hongzhi Yin (KDD, 2023)

Debiasing Recommendation by Learning Identifiable Latent Confounders. - Qing Zhang; Xiaoying Zhang; Yang Liu 018; Hongning Wang; Min Gao 001; Jiheng Zhang; Ruocheng Guo (KDD, 2023)

DAAL: Domain Adversarial Active Learning Based on Dual Features for Rumor Detection. - Chaoran Zhang; Min Gao 001; Yinqiu Huang; Feng Jiang 006; Jia Wang; Junhao Wen 001 (NLPCC (2), 2023)

Poisoning Attacks Against Contrastive Recommender Systems. - Zongwei Wang 002; Junliang Yu; Min Gao 001; Hongzhi Yin; Bin Cui 001; Shazia Sadiq (CoRR, 2023)

FinD: Fine-grained discrepancy-based fake news detection enhanced by event abstract generation. - Jia Wang; Min Gao 001; Yinqiu Huang; Kai Shu; Hualing Yi (Comput. Speech Lang., 2023)

Multi-time Scale Attention Network for WEEE reverse logistics return prediction. - Jia Zhang 001; Min Gao 001; Liang Zhao; Jiaqi Hu; Jinyong Gao; Meiling Deng; Chao Wan; Linda Yang 002 (Expert Syst. Appl., 2023)

Joint modelling of task requirements and worker preferences based on heterogeneous features and multiple interactions for knowledge-intensive crowdsourcing recommendation. - Biyu Yang; Xu Wang; Shuai Zhang; Min Gao 001; Jiejie Tian; Guangzhu Tan; Linda Yang 002; Jiafu Su (Int. J. Bio Inspired Comput., 2023)

Multi-views contrastive learning for dense text retrieval. - Yang Yu 033; Jun Zeng 003; Lin Zhong; Min Gao 001; Junhao Wen 001; Yingbo Wu (Knowl. Based Syst., 2023)

Who are the Best Adopters? User Selection Model for Free Trial Item Promotion. - Shiqi Wang 018; Chongming Gao; Min Gao 001; Junliang Yu; Zongwei Wang 002; Hongzhi Yin (IEEE Trans. Big Data, 2023)

Meta-prompt based learning for low-resource false information detection. - Yinqiu Huang; Min Gao 001; Jia Wang; Junwei Yin; Kai Shu; Qilin Fan; Junhao Wen 001 (Inf. Process. Manag., 2023)

A heterogeneous multi-relations-based method for knowledge-intensive service recommendation. - Mei Long; Xu Wang; Peiji Liu; Yinghui Tao; Min Gao 001; Guangzhu Tan; Biyu Yang (Comput. Ind. Eng., 2023)

SimCPD: a simple framework for contrastive prompts of target-aspect-sentiment joint detection. - Cai Ke; Qingyu Xiong; Chao Wu 015; Hualing Yi; Min Gao 001; Jie Chen (Neural Comput. Appl., 2023)

LGSA: A next POI prediction method by using local and global interest with spatiotemporal awareness. - Jun Zeng 003; Yizhu Zhao; Ziwei Wang; Hongjin Tao; Min Gao 001; Junhao Wen 001 (Expert Syst. Appl., 2023)

Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation. - Yinghui Tao; Min Gao 001; Junliang Yu; Zongwei Wang 002; Qingyu Xiong; Xu Wang (IEEE Trans. Comput. Soc. Syst., 2023)

Feature-based POI grouping with transformer for next point of interest recommendation. - Yuhang He; Wei Zhou 028; Fengji Luo; Min Gao 001; Junhao Wen 001 (Appl. Soft Comput., 2023)

Point-of-interest Recommendation using Deep Semantic Model. - Ziwei Wang; Jun Zeng 003; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (Expert Syst. Appl., 2023)

Expanding Reverse Nearest Neighbors. - Wentao Li 001; Maolin Cai; Min Gao 001; Dong Wen 001; Lu Qin 001; Wei Wang 011 (Proc. VLDB Endow., 2023)

Ranking Enhanced Fine-Grained Contrastive Learning for Recommendation. - Yunhang Yao; Min Gao 001; Hongwei Zhou; Zongwei Wang 002; Zehua Zhao; Qingyu Xiong (ICASSP, 2024)

Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection. - Junwei Yin; Min Gao 001; Kai Shu; Jia Wang; Yinqiu Huang; Wei Zhou 028 (ICASSP, 2024)

Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. - Zongwei Wang 002; Junliang Yu; Min Gao 001; Hongzhi Yin; Bin Cui 001; Shazia Sadiq (KDD, 2024)

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. - Linxin Guo; Yaochen Zhu; Min Gao 001; Yinghui Tao; Junliang Yu; Chen Chen 022 (KDD, 2024)

SD-Attack: Targeted Spectral Attacks on Graphs. - Xianren Zhang; Jing Ma 002; Yushun Dong; Chen Chen 022; Min Gao 001; Jundong Li (PAKDD (2), 2024)

Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing. - Yinqiu Huang; Shuli Wang; Min Gao 001; Xue Wei; Changhao Li; Chuan Luo; Yinhua Zhu; Xiong Xiao; Yi Luo (WWW (Companion Volume), 2024)

Many-to-many: Domain adaptation for water quality prediction. - Shunnan Wang; Min Gao 001; Huan Wu; Fengji Luo; Feng Jiang 006; Liang Tao (Appl. Soft Comput., 2024)

Poisoning Attacks against Recommender Systems: A Survey. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Hao Ma; Hongzhi Yin; Shazia Sadiq (CoRR, 2024)

MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation. - Hao Liu 078; Lei Guo 008; Lei Zhu 002; Yongqiang Jiang; Min Gao 001; Hongzhi Yin (CoRR, 2024)

Poisoning Attacks and Defenses in Recommender Systems: A Survey. - Zongwei Wang 002; Junliang Yu; Min Gao 001; Wei Yuan 003; Guanhua Ye; Shazia Sadiq; Hongzhi Yin (CoRR, 2024)

PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Models. - Kunquan Deng; Zeyu Huang; Chen Li 046; Chenghua Lin; Min Gao 001; Wenge Rong (CoRR, 2024)

LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Xinyi Gao 001; Quoc Viet Hung Nguyen; Shazia Sadiq; Hongzhi Yin (CoRR, 2024)

Stealthy attack on graph recommendation system. - Hao Ma; Min Gao 001; Feng Wei; Zongwei Wang 002; Feng Jiang 006; Zehua Zhao; Zhengyi Yang 003 (Expert Syst. Appl., 2024)

SFL: A semantic-based federated learning method for POI recommendation. - Xunan Dong; Jun Zeng 003; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (Inf. Sci., 2024)

DSDRec: Next POI recommendation using deep semantic extraction and diffusion model. - Ziwei Wang; Jun Zeng 003; Lin Zhong; Ling Liu 001; Min Gao 001; Junhao Wen 001 (Inf. Sci., 2024)

CBRec: A causal way balancing multidimensional attraction effect in POI recommendations. - Bo Liu; Jun Zeng 003; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (Knowl. Based Syst., 2024)

Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles. - Chen Lin 001; Si Chen 011; Meifang Zeng; Sheng Zhang; Min Gao 001; Hui Li 057 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-Time Scale Aware Host Task Preferred Learning for WEEE return prediction. - Yujiang Wu; Min Gao 001; Ruiqi Liu; Jie Zeng; Quanwu Zhao; Jinyong Gao; Jia Zhang 001 (Expert Syst. Appl., 2024)

MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation. - Hao Liu 078; Lei Guo 008; Lei Zhu 002; Yongqiang Jiang; Min Gao 001; Hongzhi Yin (ACM Trans. Inf. Syst., 2024)

EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection. - Yinqiu Huang; Min Gao 001; Kai Shu; Chenghua Lin; Jia Wang; Wei Zhou 028 (ACM Trans. Knowl. Discov. Data, 2024)

Locally Balancing Signed Graphs. - Weizhe Chen; Wentao Li 001; Min Gao 001; Dong Wen 001; Maolin Cai; Wei Wang 011 (KDD (1), 2025)

ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Xinyi Gao 001; Quoc Viet Hung Nguyen; Shazia Sadiq; Hongzhi Yin (SIGIR, 2025)

Towards Secure and Robust Recommender Systems: A Data-Centric Perspective. - Zongwei Wang 002; Junliang Yu; Tong Chen 005; Hongzhi Yin; Shazia Sadiq; Min Gao 001 (WSDM, 2025)

Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection. - Junwei Yin; Min Gao 001; Kai Shu; Wentao Li 001; Yinqiu Huang; Zongwei Wang 002 (WWW, 2025)

LARGE: A leadership perception framework for group recommendation. - Dingyi Gan; Min Gao 001; Wentao Li 001; Zongwei Wang 002; Linxin Guo; Feng Jiang 006; Yuqi Song (Expert Syst. Appl., 2025)

Global and local hypergraph learning method with semantic enhancement for POI recommendation. - Jun Zeng 003; Hongjin Tao; Haoran Tang; Junhao Wen 001; Min Gao 001 (Inf. Process. Manag., 2025)

Dual edge-embedding graph convolutional network for unified aspect-based sentiment analysis. - Chao Wu 015; Qingyu Xiong; Min Gao 001; Qiwu Zhu; Hualing Yi; Jie Chen (Inf. Sci., 2025)

A unified adaptive graph structure generation method for spatio-temporal graph forecasting. - Xu Wang; Nanjie Lai; Peiji Liu; Zongwei Wang 002; Min Gao 001 (Knowl. Based Syst., 2025)

Explainable next POI recommendation based on spatial-temporal disentanglement representation and pseudo profile generation. - Jun Zeng 003; Hongjin Tao; Junhao Wen 001; Min Gao 001 (Knowl. Based Syst., 2025)

DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation. - Yue Li; Jun Zeng 003; Haoran Tang; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (IEEE Trans. Serv. Comput., 2025)

HGDRec:Next POI Recommendation Based on Hypergraph Neural Network and Diffusion Model. - Yinchen Pan; Jun Zeng 003; Ziwei Wang; Haoran Tang; Junhao Wen 001; Min Gao 001 (IEEE Trans. Serv. Comput., 2025)

Next PoI Recommendation Based on Graph Convolutional Networks and Multiple Context-Awareness. - Wei Zhou 028; Cheng Fu; Chunyan Sang; Min Gao 001; Junhao Wen 001 (IEEE Trans. Serv. Comput., 2025)

Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential Recommendation. - Wuhan Chen; Zongwei Wang 002; Min Gao 001; Xin Xia 013; Feng Jiang 006; Junhao Wen 001 (CoRR, 2025)

RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Yupeng Hou; Shazia Sadiq; Hongzhi Yin (CoRR, 2025)

Community-Enhanced Dynamic Graph Convolutional Networks for Rumor Detection on Social Networks. - Wei Zhou 028; Chenzhan Wang; Fengji Luo; Yu Wang 267; Min Gao 001; Junhao Wen 001 (IEEE Trans. Comput. Soc. Syst., 2025)

When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Shazia Sadiq; Hongzhi Yin; Ling Liu 001 (CoRR, 2025)

Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection. - Chi Wang; Min Gao 001; Zongwei Wang 002; Junwei Yin; Kai Shu; Chenghua Lin (CoRR, 2025)

Emulating Reader Behaviors for Fake News Detection. - Junwei Yin; Min Gao 001; Kai Shu; Zehua Zhao; Yinqiu Huang; Jia Wang (IEEE Trans. Big Data, 2025)

Multi-Scale Transformers with dual attention and adaptive masking for sequential recommendation. - Haiqin Li; Yuhan Yang; Jun Zeng 003; Min Gao 001; Junhao Wen 001 (Inf. Process. Manag., 2026)