Min Gao

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 123

Top Venues

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Ziwei Wang, Jun Zeng, Lin Zhong, Ling Liu, Min Gao, Junhao Wen
DSDRec: Next POI recommendation using deep semantic extraction and diffusion model. Inf. Sci. 678 (2024)
Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
SD-Attack: Targeted Spectral Attacks on Graphs. PAKDD (2) (2024)
Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. KDD (2024)
Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. CoRR (2024)
Yujiang Wu, Min Gao, Ruiqi Liu, Jie Zeng, Quanwu Zhao, Jinyong Gao, Jia Zhang
Multi-Time Scale Aware Host Task Preferred Learning for WEEE return prediction. Expert Syst. Appl. 238 (Part E) (2024)
Yinqiu Huang, Shuli Wang, Min Gao, Xue Wei, Changhao Li, Chuan Luo, Yinhua Zhu, Xiong Xiao, Yi Luo
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing. CoRR (2024)
Yinqiu Huang, Shuli Wang, Min Gao, Xue Wei, Changhao Li, Chuan Luo, Yinhua Zhu, Xiong Xiao, Yi Luo
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing. WWW (Companion Volume) (2024)
Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li
Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Xunan Dong, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
SFL: A semantic-based federated learning method for POI recommendation. Inf. Sci. 679 (2024)
Junwei Yin, Min Gao, Kai Shu, Jia Wang, Yinqiu Huang, Wei Zhou
Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection. ICASSP (2024)
Hao Ma, Min Gao, Feng Wei, Zongwei Wang, Feng Jiang, Zehua Zhao, Zhengyi Yang
Stealthy attack on graph recommendation system. Expert Syst. Appl. 255 (2024)
Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia W. Sadiq
Poisoning Attacks Against Recommender Systems: A Survey. CoRR (2024)
Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia W. Sadiq, Hongzhi Yin
Poisoning Attacks and Defenses in Recommender Systems: A Survey. CoRR (2024)
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. KDD (2024)
Yunhang Yao, Min Gao, Hongwei Zhou, Zongwei Wang, Zehua Zhao, Qingyu Xiong
Ranking Enhanced Fine-Grained Contrastive Learning for Recommendation. ICASSP (2024)
Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin
MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation. ACM Trans. Inf. Syst. 42 (4) (2024)
Kunquan Deng, Zeyu Huang, Chen Li, Chenghua Lin, Min Gao, Wenge Rong
PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Models. CoRR (2024)
Jia Zhang, Min Gao, Liang Zhao, Jiaqi Hu, Jinyong Gao, Meiling Deng, Chao Wan, Linda Yang
Multi-time Scale Attention Network for WEEE reverse logistics return prediction. Expert Syst. Appl. 211 (2023)
Hongjin Tao, Jun Zeng, Ziwei Wang, Min Gao, Junhao Wen
Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation. ICWS (2023)
Wentao Li, Maolin Cai, Min Gao, Dong Wen, Lu Qin, Wei Wang
Expanding Reverse Nearest Neighbors. Proc. VLDB Endow. 17 (4) (2023)
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion. IEEE Trans. Big Data 9 (2) (2023)
Yang Yu, Jun Zeng, Lin Zhong, Min Gao, Junhao Wen, Yingbo Wu
Multi-views contrastive learning for dense text retrieval. Knowl. Based Syst. 274 (2023)
Mei Long, Xu Wang, Peiji Liu, Yinghui Tao, Min Gao, Guangzhu Tan, Biyu Yang
A heterogeneous multi-relations-based method for knowledge-intensive service recommendation. Comput. Ind. Eng. 181 (2023)
Ziwei Wang, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
Point-of-interest Recommendation using Deep Semantic Model. Expert Syst. Appl. 231 (2023)
Jia Wang, Min Gao, Yinqiu Huang, Kai Shu, Hualing Yi
FinD: Fine-grained discrepancy-based fake news detection enhanced by event abstract generation. Comput. Speech Lang. 78 (2023)
Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin
Efficient Bi-Level Optimization for Recommendation Denoising. KDD (2023)
Yuhang He, Wei Zhou, Fengji Luo, Min Gao, Junhao Wen
Feature-based POI grouping with transformer for next point of interest recommendation. Appl. Soft Comput. 147 (2023)
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq
Poisoning Attacks Against Contrastive Recommender Systems. CoRR (2023)
Linxin Guo, Shiqi Wang, Min Gao, Chongming Gao
Dynamic Target User Selection Model for Market Promotion with Multiple Stakeholders. CollaborateCom (3) (2023)
Cai Ke, Qingyu Xiong, Chao Wu, Hualing Yi, Min Gao, Jie Chen
SimCPD: a simple framework for contrastive prompts of target-aspect-sentiment joint detection. Neural Comput. Appl. 35 (22) (2023)
Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo
Debiasing Recommendation by Learning Identifiable Latent Confounders. KDD (2023)
Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation. IEEE Trans. Comput. Soc. Syst. 10 (5) (2023)
Jun Zeng, Yizhu Zhao, Ziwei Wang, Hongjin Tao, Min Gao, Junhao Wen
LGSA: A next POI prediction method by using local and global interest with spatiotemporal awareness. Expert Syst. Appl. 227 (2023)
Junwei Yin, Min Gao, Kai Shu, Zehua Zhao, Yinqiu Huang, Jia Wang
Emulating Reader Behaviors for Fake News Detection. CoRR (2023)
Biyu Yang, Xu Wang, Shuai Zhang, Min Gao, Jiejie Tian, Guangzhu Tan, Linda Yang, Jiafu Su
Joint modelling of task requirements and worker preferences based on heterogeneous features and multiple interactions for knowledge-intensive crowdsourcing recommendation. Int. J. Bio Inspired Comput. 22 (2) (2023)
Yinqiu Huang, Min Gao, Jia Wang, Junwei Yin, Kai Shu, Qilin Fan, Junhao Wen
Meta-prompt based learning for low-resource false information detection. Inf. Process. Manag. 60 (3) (2023)
Yizhu Zhao, Jun Zeng, Min Gao, Wei Zhou, Junhao Wen
A Flow Prediction Model of Bike-Sharing Based on Cycling Context. CollaborateCom (1) (2022)
Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen, Min Gao, Xiuhua Li, Jun Zeng
SocialLGN: Light graph convolution network for social recommendation. Inf. Sci. 589 (2022)
Zongwei Wang, Min Gao, Wentao Li
Quick Graph Conversion for Robust Recommendation. CoRR (2022)
Xinyu Xiao, Junhao Wen, Wei Zhou, Fengji Luo, Min Gao, Jun Zeng
Multi-interaction fusion collaborative filtering for social recommendation. Expert Syst. Appl. 205 (2022)
Zongwei Wang, Min Gao, Jundong Li, Junwei Zhang, Jiang Zhong
Gray-Box Shilling Attack: An Adversarial Learning Approach. ACM Trans. Intell. Syst. Technol. 13 (5) (2022)
Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation. CoRR (2022)
Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Linxin Guo, Yinghui Tao, Min Gao, Junliang Yu, Liang Zhao, Wentao Li
Addressing the Extreme Cold-Start Problem in Group Recommendation. CoRR (2022)
Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou, Junhao Wen
BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model. EURASIP J. Wirel. Commun. Netw. 2022 (1) (2022)
Liang Zhao, Min Gao, Zongwei Wang
ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction. WSDM (2022)
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion. CoRR (2022)
Jia Wang, Min Gao, Zongwei Wang, Chenghua Lin, Wei Zhou, Junhao Wen
Ada: Adversarial learning based data augmentation for malicious users detection. Appl. Soft Comput. 117 (2022)
Jun Zeng, Juan Yao, Min Gao, Junhao Wen
A service composition method using improved hybrid teaching learning optimization algorithm in cloud manufacturing. J. Cloud Comput. 11 (2022)
Wentao Li, Min Gao, Dong Wen, Hongwei Zhou, Cai Ke, Lu Qin
Manipulating Structural Graph Clustering. ICDE (2022)
Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Xu Wang
Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack. Inf. Sci. 578 (2021)
Qiude Li, Qingyu Xiong, Shengfen Ji, Yang Yu, Chao Wu, Min Gao
Incremental semi-supervised Extreme Learning Machine for Mixed data stream classification. Expert Syst. Appl. 185 (2021)
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. CIKM (2021)
Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou
The Missing POI Completion Based on Bidirectional Masked Trajectory Model. CollaborateCom (1) (2021)
Yanjing Yang, Min Gao, Yuerang Li, Fan Wu, Jia Wang, Quanwu Zhao
MSPLD: Shilling Attack Detection Model Based on Meta Self-Paced Learning. IJCNN (2021)
Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
Recommender systems based on generative adversarial networks: A problem-driven perspective. Inf. Sci. 546 (2021)
Chao Wu, Qingyu Xiong, Min Gao, Qiude Li, Yang Yu, Kaige Wang
A relative position attention network for aspect-based sentiment analysis. Knowl. Inf. Syst. 63 (2) (2021)
Hao Li, Min Gao, Fengtao Zhou, Yueyang Wang, Qilin Fan, Linda Yang
Fusing hypergraph spectral features for shilling attack detection. J. Inf. Secur. Appl. 63 (2021)
Hanwen Zhang, Wei Zhou, Junhao Wen, Ling Liu, Jun Zeng, Min Gao
Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System. SCC (2021)
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
Socially-Aware Self-Supervised Tri-Training for Recommendation. CoRR (2021)
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. CoRR (2021)
Tianfu Wang, Qilin Fan, Xiuhua Li, Xu Zhang, Qingyu Xiong, Shu Fu, Min Gao
DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning. ICC (2021)
Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong
Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling. Neurocomputing 461 (2021)
Chao Wu, Qingyu Xiong, Zhengyi Yang, Min Gao, Qiude Li, Yang Yu, Kaige Wang, Qiwu Zhu
Residual attention and other aspects module for aspect-based sentiment analysis. Neurocomputing 435 (2021)
Meiling Chao, Min Gao, Junwei Zhang, Zongwei Wang, Quanwu Zhao, Yulin He
PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems. CollaborateCom (2) (2021)
Yang Yu, Qingyu Xiong, Mei Yang, Chao Wu, Qiwu Zhu, Kai Wang, Min Gao
Krylov Subspace Methods for Regularized Models in Acoustic Temperature Reconstruction From Simulated and Real Measurements. IEEE Trans. Instrum. Meas. 70 (2021)
Yinqiu Huang, Min Gao, Jia Wang, Kai Shu
DAFD: Domain Adaptation Framework for Fake News Detection. ICONIP (1) (2021)
Wentao Li, Min Gao, Fan Wu, Wenge Rong, Junhao Wen, Lu Qin
Manipulating Black-Box Networks for Centrality Promotion. ICDE (2021)
Chao Wu, Qingyu Xiong, Hualing Yi, Yang Yu, Qiwu Zhu, Min Gao, Jie Chen
Multiple-element joint detection for Aspect-Based Sentiment Analysis. Knowl. Based Syst. 223 (2021)
Shiqi Wang, Min Gao, Zongwei Wang, Jia Wang, Fan Wu, Junhao Wen
Fine-Grained Spatial-Temporal Representation Learning with Missing Data Completion for Traffic Flow Prediction. CollaborateCom (1) (2021)
Jun Zeng, Haoran Tang, Yizhu Zhao, Min Gao, Junhao Wen
PR-RCUC: A POI Recommendation Model Using Region-Based Collaborative Filtering and User-Based Mobile Context. Mob. Networks Appl. 26 (6) (2021)
Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Wange Xu
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack. CoRR (2021)
Juan Yao, Jun Zeng, Junhao Wen, Wei Zhou, Min Gao
Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing. IJCNN (2021)
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
Socially-Aware Self-Supervised Tri-Training for Recommendation. KDD (2021)
Amrita Bhattacharjee, Kai Shu, Min Gao, Huan Liu
Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges. CoRR (2020)
Jia Wang, Min Gao, Zongwei Wang, Runsheng Wang, Junhao Wen
Robustness Analysis of Triangle Relations Attack in Social Recommender Systems. CLOUD (2020)
Runsheng Wang, Min Gao, Junwei Zhang, Quanwu Zhao
JUST-BPR: Identify Implicit Friends with Jump and Stay for Social Recommendation. ICONIP (3) (2020)
Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui
Enhance Social Recommendation with Adversarial Graph Convolutional Networks. CoRR (2020)
Qiude Li, Qingyu Xiong, Shengfen Ji, Min Gao, Yang Yu, Chao Wu
Multi-view heterogeneous fusion and embedding for categorical attributes on mixed data. Soft Comput. 24 (14) (2020)
Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong
Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling. CoRR (2020)
Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. CoRR (2020)
Zehua Zhao, Min Gao, Fengji Luo, Yi Zhang, Qingyu Xiong
LSHWE: Improving Similarity-Based Word Embedding with Locality Sensitive Hashing for Cyberbullying Detection. IJCNN (2020)
Kaige Wang, Qingyu Xiong, Chao Wu, Min Gao, Yang Yu
Multi-modal cyberbullying detection on social networks. IJCNN (2020)
Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong
A Minimax Game for Generative and Discriminative Sample Models for Recommendation. PAKDD (2) (2019)
Junwei Zhang, Min Gao, Junliang Yu, Xinyi Wang, Yuqi Song, Qingyu Xiong
Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation. IJCNN (2019)
Qiude Li, Qingyu Xiong, Shengfen Ji, Junhao Wen, Min Gao, Yang Yu, Rui Xu
Using fine-tuned conditional probabilities for data transformation of nominal attributes. Pattern Recognit. Lett. 128 (2019)
Zhenni Lu, Min Gao, Xinyi Wang, Junwei Zhang, Haider Ali, Qingyu Xiong
SRRL: Select Reliable Friends for Social Recommendation with Reinforcement Learning. ICONIP (2) (2019)
Hualing Yi, Qingyu Xiong, Qinghong Zou, Rui Xu, Kai Wang, Min Gao
A Novel Random Forest and its Application on Classification of Air Quality. IIAI-AAI (2019)
Jianxin Ye, Qingyu Xiong, Qiude Li, Min Gao, Rui Xu
Tourism Service Recommendation Based on User Influence in Social Networks and Time Series. HPCC/SmartCity/DSS (2019)
Min Gao, Bin Ling, Linda Yang, Junhao Wen, Qingyu Xiong, Shun Li
From similarity perspective: a robust collaborative filtering approach for service recommendations. Frontiers Comput. Sci. 13 (2) (2019)
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. CoRR (2019)
Xinyi Wang, Min Gao, Zhenni Lu, Zongwei Wang, Junwei Zhang, Yi Zhang
DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation. ICONIP (4) (2019)
Yang Yu, Qingyu Xiong, Rui Xu, Min Gao, Chaoyin Li, Kai Wang
A Method for Two-Dimensional Temperature Distribution Reconstruction Using Compactly Supported and Gaussian Radial Basis Function. IIAI-AAI (2019)
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. ICDM (2019)
Fan Yang, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang
Detection of Shilling Attack Based on Bayesian Model and User Embedding. ICTAI (2018)
Yuqi Song, Min Gao, Junliang Yu, Qingyu Xiong
Social Recommendation Based on Implicit Friends Discovering Via Meta-Path. ICTAI (2018)
Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation. CIKM (2018)
Junhao Wen, Dawen Dai, Junliang Yu, Min Gao, Yihao Zhang
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). 计算机科学 45 (10) (2018)
Lulan Yu, Min Gao, Xinyu Xiao, Xiang Li, Qingyu Xiong
Important User Group Based Web Service Recommendation. IIAI-AAI (2017)
Zehua Zhao, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang, Min Zhang
Impact of the Important Users on Social Recommendation System. CollaborateCom (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Min Gao