Min Gao

191 papers A* 14A 10B 12C 8Misc 2Journal 109Unranked 35
YearRankTypeTitle / Venue / Authors
2026 J jnl
AGSRec: Mitigating popularity bias via attraction-aware graph and semantic enhancement for POI recommendations.
Expert Syst. Appl.
Bo Liu, Jun Zeng, Haoran Tang, Junhao Wen, Min Gao, Wei Zhou
2026 J jnl
AgentAttack : LLM agents for multi-strategy shilling attacks in recommenders.
Expert Syst. Appl.
Chenyu Li, Zongwei Wang, Hao Ma, Wei Li, Huan Wu, Yuqi Song, Min Gao
2026 J jnl
Ahead of the Spread: Agent-Driven Virtual Propagation for Early Fake News Detection.
CoRR
Bincheng Gu, Min Gao, Junliang Yu, Zongwei Wang, Zhiyi Liu, Kai Shu, Hongyu Zhang
2026 J jnl
DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation.
CoRR
Jiawei Cheng, Min Gao, Zongwei Wang, Xiaofei Zhu, Zhiyi Liu, Wentao Li, Wei Li, Huan Wu
2026 J jnl
Double Enhancement Framework for Long-Tail Recommendation.
IEEE Trans. Knowl. Data Eng.
Jie Liao, Wei Zhou, Junhao Wen, Min Gao, Jun Zeng, Min Yang
2026 J jnl
Multi-Scale Transformers with dual attention and adaptive masking for sequential recommendation.
Inf. Process. Manag.
Haiqin Li, Yuhan Yang, Jun Zeng, Min Gao, Junhao Wen
2026 A* conf
PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection.
WWW
Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin
2026 J jnl
PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin
2026 A* conf
Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection.
WWW
Chi Wang, Min Gao, Zongwei Wang, Junwei Yin, Kai Shu, Chenghua Lin
2026 J jnl
SWGCN: Synergy Weighted Graph Convolutional Network for Multi-Behavior Recommendation.
CoRR
Fangda Chen, Yueyang Wang, Chaoli Lou, Min Gao, Qingyu Xiong
2026 J jnl
SWGCN: Synergy weighted graph convolutional network for multi-behavior recommendation.
Inf. Sci.
Fangda Chen, Yueyang Wang, Chaoli Lou, Min Gao, Qingyu Xiong
2026 J jnl
SharP: Soft and hard prompt-guided augmentation with LLM for low resource fake news detection.
Expert Syst. Appl.
Ziyu Luo, Wei Li, Haoping Huang, Kecheng Liu, Min Gao
2026 J jnl
Structural Clustering for Bipartite Graphs.
IEEE Trans. Knowl. Data Eng.
Mingyu Yang, Wentao Li, Wei Wang, Dong Wen, Min Gao, Lu Qin
2026 J jnl
When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents.
CoRR
Zongwei Wang, Bincheng Gu, Hongyu Yu, Junliang Yu, Tao He, Jiayin Feng, Chenghua Lin, Min Gao
2026 J jnl
When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation.
ACM Trans. Inf. Syst.
Zongwei Wang, Min Gao, Junliang Yu, Shazia Sadiq, Hongzhi Yin, Ling Liu
2025 J jnl
A unified adaptive graph structure generation method for spatio-temporal graph forecasting.
Knowl. Based Syst.
Xu Wang, Nanjie Lai, Peiji Liu, Zongwei Wang, Min Gao
2025 J jnl
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential Recommendation.
CoRR
Wuhan Chen, Zongwei Wang, Min Gao, Xin Xia, Feng Jiang, Junhao Wen
2025 A conf
Budget and Frequency Controlled Cost-Aware Model Extraction Attack on Sequential Recommenders.
CIKM
Lei Zhou, Min Gao, Zongwei Wang, Yibing Bai
2025 J jnl
Community-Enhanced Dynamic Graph Convolutional Networks for Rumor Detection on Social Networks.
IEEE Trans. Comput. Soc. Syst.
Wei Zhou, Chenzhan Wang, Fengji Luo, Yu Wang, Min Gao, Junhao Wen
2025 J jnl
DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation.
IEEE Trans. Serv. Comput.
Yue Li, Jun Zeng, Haoran Tang, Junhao Wen, Min Gao, Wei Zhou
2025 J jnl
Dual edge-embedding graph convolutional network for unified aspect-based sentiment analysis.
Inf. Sci.
Chao Wu, Qingyu Xiong, Min Gao, Qiwu Zhu, Hualing Yi, Jie Chen
2025 J jnl
Emulating Reader Behaviors for Fake News Detection.
IEEE Trans. Big Data
Junwei Yin, Min Gao, Kai Shu, Zehua Zhao, Yinqiu Huang, Jia Wang
2025 J jnl
Explainable next POI recommendation based on spatial-temporal disentanglement representation and pseudo profile generation.
Knowl. Based Syst.
Jun Zeng, Hongjin Tao, Junhao Wen, Min Gao
2025 J jnl
FedHGS: A Federated Point-of-Interest Recommendation Method Based on Heterogeneous Graph Semantics.
IEEE Trans. Serv. Comput.
Xunan Dong, Jun Zeng, Lin Zhong, Haoran Tang, Junhao Wen, Min Gao
2025 A* conf
FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting.
IJCAI
Shunnan Wang, Min Gao, Zongwei Wang, Yibing Bai, Feng Jiang, Guansong Pang
2025 J jnl
Gated Rotary-Enhanced Linear Attention for Long-term Sequential Recommendation.
CoRR
Juntao Hu, Wei Zhou, Huayi Shen, Xiao Du, Jie Liao, Junhao Wen, Min Gao
2025 J jnl
Global and local hypergraph learning method with semantic enhancement for POI recommendation.
Inf. Process. Manag.
Jun Zeng, Hongjin Tao, Haoran Tang, Junhao Wen, Min Gao
2025 A* conf
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection.
WWW
Junwei Yin, Min Gao, Kai Shu, Wentao Li, Yinqiu Huang, Zongwei Wang
2025 J jnl
HGDRec:Next POI Recommendation Based on Hypergraph Neural Network and Diffusion Model.
IEEE Trans. Serv. Comput.
Yinchen Pan, Jun Zeng, Ziwei Wang, Haoran Tang, Junhao Wen, Min Gao
2025 A* conf
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems.
SIGIR
Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
2025 J jnl
LARGE: A leadership perception framework for group recommendation.
Expert Syst. Appl.
Dingyi Gan, Min Gao, Wentao Li, Zongwei Wang, Linxin Guo, Feng Jiang, Yuqi Song
2025 A conf
Linking Ordered and Orderless Modeling for Sequential Recommendation.
CIKM
Sijia Li, Min Gao, Zongwei Wang, Yibing Bai, Wuhan Chen
2025 — conf
Locally Balancing Signed Graphs.
KDD (1)
Weizhe Chen, Wentao Li, Min Gao, Dong Wen, Maolin Cai, Wei Wang
2025 J jnl
Next PoI Recommendation Based on Graph Convolutional Networks and Multiple Context-Awareness.
IEEE Trans. Serv. Comput.
Wei Zhou, Cheng Fu, Chunyan Sang, Min Gao, Junhao Wen
2025 — conf
Progressive Stacking for Scalable Graph Condensation.
KDD (2)
Yibing Bai, Min Gao, Zongwei Wang, Xinyi Gao, Wentao Li
2025 J jnl
Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection.
CoRR
Chi Wang, Min Gao, Zongwei Wang, Junwei Yin, Kai Shu, Chenghua Lin
2025 J jnl
Robust Detection of Retinal Neovascularization in Widefield Optical Coherence Tomography.
CoRR
Jinyi Hao, Jie Wang, Kotaro Tsuboi, Liqin Gao, Tristan T. Hormel, Yukun Guo, An-Lun Wu, Min Gao, Christina J. Flaxel, Steven T. Bailey, Thomas S. Hwang, Yali Jia
2025 J jnl
RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Yupeng Hou, Shazia Sadiq, Hongzhi Yin
2025 A conf
Seeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language Models.
CIKM
Xingyu Liu, Min Gao, Zongwei Wang, Yinbing Bai
2025 A conf
Towards Secure and Robust Recommender Systems: A Data-Centric Perspective.
WSDM
Zongwei Wang, Junliang Yu, Tong Chen, Hongzhi Yin, Shazia Sadiq, Min Gao
2025 J jnl
When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Shazia Sadiq, Hongzhi Yin, Ling Liu
2024 J jnl
CBRec: A causal way balancing multidimensional attraction effect in POI recommendations.
Knowl. Based Syst.
Bo Liu, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
2024 A* conf
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations.
KDD
Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
2024 J jnl
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations.
CoRR
Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
2024 J jnl
DSDRec: Next POI recommendation using deep semantic extraction and diffusion model.
Inf. Sci.
Ziwei Wang, Jun Zeng, Lin Zhong, Ling Liu, Min Gao, Junhao Wen
2024 J jnl
EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection.
ACM Trans. Knowl. Discov. Data
Yinqiu Huang, Min Gao, Kai Shu, Chenghua Lin, Jia Wang, Wei Zhou
2024 — conf
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing.
WWW (Companion Volume)
Yinqiu Huang, Shuli Wang, Min Gao, Xue Wei, Changhao Li, Chuan Luo, Yinhua Zhu, Xiong Xiao, Yi Luo
2024 Misc conf
Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection.
ICASSP
Junwei Yin, Min Gao, Kai Shu, Jia Wang, Yinqiu Huang, Wei Zhou
2024 J jnl
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection.
CoRR
Junwei Yin, Min Gao, Kai Shu, Wentao Li, Yinqiu Huang, Zongwei Wang
2024 J jnl
LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
2024 J jnl
MCRPL: A Pretrain, Prompt & Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.
CoRR
Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin
2024 J jnl
MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.
ACM Trans. Inf. Syst.
Hao Liu, Lei Guo, Lei Zhu, Yongqiang Jiang, Min Gao, Hongzhi Yin
2024 J jnl
Many-to-many: Domain adaptation for water quality prediction.
Appl. Soft Comput.
Shunnan Wang, Min Gao, Huan Wu, Fengji Luo, Feng Jiang, Liang Tao
2024 J jnl
Multi-Time Scale Aware Host Task Preferred Learning for WEEE return prediction.
Expert Syst. Appl.
Yujiang Wu, Min Gao, Ruiqi Liu, Jie Zeng, Quanwu Zhao, Jinyong Gao, Jia Zhang
2024 J jnl
PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Models.
CoRR
Kunquan Deng, Zeyu Huang, Chen Li, Chenghua Lin, Min Gao, Wenge Rong
2024 J jnl
Poisoning Attacks against Recommender Systems: A Survey.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia Sadiq
2024 J jnl
Poisoning Attacks and Defenses in Recommender Systems: A Survey.
CoRR
Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia Sadiq, Hongzhi Yin
2024 Misc conf
Ranking Enhanced Fine-Grained Contrastive Learning for Recommendation.
ICASSP
Yunhang Yao, Min Gao, Hongwei Zhou, Zongwei Wang, Zehua Zhao, Qingyu Xiong
2024 — conf
SD-Attack: Targeted Spectral Attacks on Graphs.
PAKDD (2)
Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
2024 J jnl
SFL: A semantic-based federated learning method for POI recommendation.
Inf. Sci.
Xunan Dong, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
2024 J jnl
Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles.
IEEE Trans. Neural Networks Learn. Syst.
Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li
2024 J jnl
Stealthy attack on graph recommendation system.
Expert Syst. Appl.
Hao Ma, Min Gao, Feng Wei, Zongwei Wang, Feng Jiang, Zehua Zhao, Zhengyi Yang
2024 A* conf
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks.
KDD
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq
2023 J jnl
A heterogeneous multi-relations-based method for knowledge-intensive service recommendation.
Comput. Ind. Eng.
Mei Long, Xu Wang, Peiji Liu, Yinghui Tao, Min Gao, Guangzhu Tan, Biyu Yang
2023 A conf
Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation.
CIKM
Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao
2023 — conf
DAAL: Domain Adversarial Active Learning Based on Dual Features for Rumor Detection.
NLPCC (2)
Chaoran Zhang, Min Gao, Yinqiu Huang, Feng Jiang, Jia Wang, Junhao Wen
2023 A* conf
Debiasing Recommendation by Learning Identifiable Latent Confounders.
KDD
Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo
2023 J jnl
Debiasing Recommendation by Learning Identifiable Latent Confounders.
CoRR
Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo
2023 — conf
Dynamic Target User Selection Model for Market Promotion with Multiple Stakeholders.
CollaborateCom (3)
Linxin Guo, Shiqi Wang, Min Gao, Chongming Gao
2023 A* conf
Efficient Bi-Level Optimization for Recommendation Denoising.
KDD
Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin
2023 J jnl
Emulating Reader Behaviors for Fake News Detection.
CoRR
Junwei Yin, Min Gao, Kai Shu, Zehua Zhao, Yinqiu Huang, Jia Wang
2023 J jnl
Expanding Reverse Nearest Neighbors.
Proc. VLDB Endow.
Wentao Li, Maolin Cai, Min Gao, Dong Wen, Lu Qin, Wei Wang
2023 J jnl
Feature-based POI grouping with transformer for next point of interest recommendation.
Appl. Soft Comput.
Yuhang He, Wei Zhou, Fengji Luo, Min Gao, Junhao Wen
2023 J jnl
FinD: Fine-grained discrepancy-based fake news detection enhanced by event abstract generation.
Comput. Speech Lang.
Jia Wang, Min Gao, Yinqiu Huang, Kai Shu, Hualing Yi
2023 J jnl
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.
Biyu Yang, Xu Wang, Shuai Zhang, Min Gao, Jiejie Tian, Guangzhu Tan, Linda Yang, Jiafu Su
2023 J jnl
LGSA: A next POI prediction method by using local and global interest with spatiotemporal awareness.
Expert Syst. Appl.
Jun Zeng, Yizhu Zhao, Ziwei Wang, Hongjin Tao, Min Gao, Junhao Wen
2023 J jnl
Meta-prompt based learning for low-resource false information detection.
Inf. Process. Manag.
Yinqiu Huang, Min Gao, Jia Wang, Junwei Yin, Kai Shu, Qilin Fan, Junhao Wen
2023 J jnl
Multi-time Scale Attention Network for WEEE reverse logistics return prediction.
Expert Syst. Appl.
Jia Zhang, Min Gao, Liang Zhao, Jiaqi Hu, Jinyong Gao, Meiling Deng, Chao Wan, Linda Yang
2023 J jnl
Multi-views contrastive learning for dense text retrieval.
Knowl. Based Syst.
Yang Yu, Jun Zeng, Lin Zhong, Min Gao, Junhao Wen, Yingbo Wu
2023 A conf
Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation.
ICWS
Hongjin Tao, Jun Zeng, Ziwei Wang, Min Gao, Junhao Wen
2023 J jnl
Point-of-interest Recommendation using Deep Semantic Model.
Expert Syst. Appl.
Ziwei Wang, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
2023 J jnl
Poisoning Attacks Against Contrastive Recommender Systems.
CoRR
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq
2023 J jnl
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation.
IEEE Trans. Comput. Soc. Syst.
Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang
2023 J jnl
SimCPD: a simple framework for contrastive prompts of target-aspect-sentiment joint detection.
Neural Comput. Appl.
Cai Ke, Qingyu Xiong, Chao Wu, Hualing Yi, Min Gao, Jie Chen
2023 B conf
What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy.
ICTAI
Hongwei Zhou, Min Gao, Zongwei Wang, Linxin Guo, Yinghui Tao, Wentao Li
2023 J jnl
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion.
IEEE Trans. Big Data
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
2022 — conf
A Flow Prediction Model of Bike-Sharing Based on Cycling Context.
CollaborateCom (1)
Yizhu Zhao, Jun Zeng, Min Gao, Wei Zhou, Junhao Wen
2022 J jnl
A service composition method using improved hybrid teaching learning optimization algorithm in cloud manufacturing.
J. Cloud Comput.
Jun Zeng, Juan Yao, Min Gao, Junhao Wen
2022 J jnl
Ada: Adversarial learning based data augmentation for malicious users detection.
Appl. Soft Comput.
Jia Wang, Min Gao, Zongwei Wang, Chenghua Lin, Wei Zhou, Junhao Wen
2022 J jnl
Addressing the Extreme Cold-Start Problem in Group Recommendation.
CoRR
Linxin Guo, Yinghui Tao, Min Gao, Junliang Yu, Liang Zhao, Wentao Li
2022 J jnl
BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model.
EURASIP J. Wirel. Commun. Netw.
Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou, Junhao Wen
2022 J jnl
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng.
Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui
2022 J jnl
Gray-Box Shilling Attack: An Adversarial Learning Approach.
ACM Trans. Intell. Syst. Technol.
Zongwei Wang, Min Gao, Jundong Li, Junwei Zhang, Jiang Zhong
2022 A* conf
Manipulating Structural Graph Clustering.
ICDE
Wentao Li, Min Gao, Dong Wen, Hongwei Zhou, Cai Ke, Lu Qin
2022 J jnl
Multi-interaction fusion collaborative filtering for social recommendation.
Expert Syst. Appl.
Xinyu Xiao, Junhao Wen, Wei Zhou, Fengji Luo, Min Gao, Jun Zeng
2022 J jnl
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation.
CoRR
Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang
2022 J jnl
Quick Graph Conversion for Robust Recommendation.
CoRR
Zongwei Wang, Min Gao, Wentao Li
2022 A conf
ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction.
WSDM
Liang Zhao, Min Gao, Zongwei Wang
2022 J jnl
Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles.
CoRR
Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, Hui Li
2022 J jnl
SocialLGN: Light graph convolution network for social recommendation.
Inf. Sci.
Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen, Min Gao, Xiuhua Li, Jun Zeng
2022 J jnl
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion.
CoRR
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
2021 J jnl
A relative position attention network for aspect-based sentiment analysis.
Knowl. Inf. Syst.
Chao Wu, Qingyu Xiong, Min Gao, Qiude Li, Yang Yu, Kaige Wang
2021 — conf
DAFD: Domain Adaptation Framework for Fake News Detection.
ICONIP (1)
Yinqiu Huang, Min Gao, Jia Wang, Kai Shu
2021 — conf
DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning.
ICC
Tianfu Wang, Qilin Fan, Xiuhua Li, Xu Zhang, Qingyu Xiong, Shu Fu, Min Gao
2021 A conf
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation.
CIKM
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
2021 J jnl
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation.
CoRR
Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin
2021 — conf
Fine-Grained Spatial-Temporal Representation Learning with Missing Data Completion for Traffic Flow Prediction.
CollaborateCom (1)
Shiqi Wang, Min Gao, Zongwei Wang, Jia Wang, Fan Wu, Junhao Wen
2021 J jnl
Fusing hypergraph spectral features for shilling attack detection.
J. Inf. Secur. Appl.
Hao Li, Min Gao, Fengtao Zhou, Yueyang Wang, Qilin Fan, Linda Yang
2021 B conf
Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing.
IJCNN
Juan Yao, Jun Zeng, Junhao Wen, Wei Zhou, Min Gao
2021 J jnl
Incremental semi-supervised Extreme Learning Machine for Mixed data stream classification.
Expert Syst. Appl.
Qiude Li, Qingyu Xiong, Shengfen Ji, Yang Yu, Chao Wu, Min Gao
2021 J jnl
Krylov Subspace Methods for Regularized Models in Acoustic Temperature Reconstruction From Simulated and Real Measurements.
IEEE Trans. Instrum. Meas.
Yang Yu, Qingyu Xiong, Mei Yang, Chao Wu, Qiwu Zhu, Kai Wang, Min Gao
2021 B conf
MSPLD: Shilling Attack Detection Model Based on Meta Self-Paced Learning.
IJCNN
Yanjing Yang, Min Gao, Yuerang Li, Fan Wu, Jia Wang, Quanwu Zhao
2021 A* conf
Manipulating Black-Box Networks for Centrality Promotion.
ICDE
Wentao Li, Min Gao, Fan Wu, Wenge Rong, Junhao Wen, Lu Qin
2021 — conf
Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System.
SCC
Hanwen Zhang, Wei Zhou, Junhao Wen, Ling Liu, Jun Zeng, Min Gao
2021 J jnl
Multiple-element joint detection for Aspect-Based Sentiment Analysis.
Knowl. Based Syst.
Chao Wu, Qingyu Xiong, Hualing Yi, Yang Yu, Qiwu Zhu, Min Gao, Jie Chen
2021 — conf
PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems.
CollaborateCom (2)
Meiling Chao, Min Gao, Junwei Zhang, Zongwei Wang, Quanwu Zhao, Yulin He
2021 J jnl
PR-RCUC: A POI Recommendation Model Using Region-Based Collaborative Filtering and User-Based Mobile Context.
Mob. Networks Appl.
Jun Zeng, Haoran Tang, Yizhu Zhao, Min Gao, Junhao Wen
2021 J jnl
Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling.
Neurocomputing
Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong
2021 J jnl
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack.
CoRR
Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Wange Xu
2021 J jnl
Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack.
Inf. Sci.
Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Xu Wang
2021 J jnl
Recommender systems based on generative adversarial networks: A problem-driven perspective.
Inf. Sci.
Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
2021 J jnl
Residual attention and other aspects module for aspect-based sentiment analysis.
Neurocomputing
Chao Wu, Qingyu Xiong, Zhengyi Yang, Min Gao, Qiude Li, Yang Yu, Kaige Wang, Qiwu Zhu
2021 A* conf
Socially-Aware Self-Supervised Tri-Training for Recommendation.
KDD
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
2021 J jnl
Socially-Aware Self-Supervised Tri-Training for Recommendation.
CoRR
Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, Nguyen Quoc Viet Hung
2021 — conf
The Missing POI Completion Based on Bidirectional Masked Trajectory Model.
CollaborateCom (1)
Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou
2020 J jnl
Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges.
CoRR
Amrita Bhattacharjee, Kai Shu, Min Gao, Huan Liu
2020 J jnl
Enhance Social Recommendation with Adversarial Graph Convolutional Networks.
CoRR
Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui
2020 J jnl
Image super-resolution based on two-level residual learning CNN.
Multim. Tools Appl.
Min Gao, Xian-Hua Han, Jing Li, Hui Ji, Huaxiang Zhang, Jiande Sun
2020 — conf
JUST-BPR: Identify Implicit Friends with Jump and Stay for Social Recommendation.
ICONIP (3)
Runsheng Wang, Min Gao, Junwei Zhang, Quanwu Zhao
2020 B conf
LSHWE: Improving Similarity-Based Word Embedding with Locality Sensitive Hashing for Cyberbullying Detection.
IJCNN
Zehua Zhao, Min Gao, Fengji Luo, Yi Zhang, Qingyu Xiong
2020 B conf
Multi-modal cyberbullying detection on social networks.
IJCNN
Kaige Wang, Qingyu Xiong, Chao Wu, Min Gao, Yang Yu
2020 J jnl
Multi-view heterogeneous fusion and embedding for categorical attributes on mixed data.
Soft Comput.
Qiude Li, Qingyu Xiong, Shengfen Ji, Min Gao, Yang Yu, Chao Wu
2020 J jnl
Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling.
CoRR
Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong
2020 J jnl
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective.
CoRR
Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
2020 J jnl
Reconstruction of high-resolution 6x6-mm OCT angiograms using deep learning.
CoRR
Min Gao, Yukun Guo, Tristan T. Hormel, Jiande Sun, Thomas S. Hwang, Yali Jia
2020 B conf
Robustness Analysis of Triangle Relations Attack in Social Recommender Systems.
CLOUD
Jia Wang, Min Gao, Zongwei Wang, Runsheng Wang, Junhao Wen
2019 — conf
A Method for Two-Dimensional Temperature Distribution Reconstruction Using Compactly Supported and Gaussian Radial Basis Function.
IIAI-AAI
Yang Yu, Qingyu Xiong, Rui Xu, Min Gao, Chaoyin Li, Kai Wang
2019 — conf
A Minimax Game for Generative and Discriminative Sample Models for Recommendation.
PAKDD (2)
Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong
2019 — conf
A Novel Random Forest and its Application on Classification of Air Quality.
IIAI-AAI
Hualing Yi, Qingyu Xiong, Qinghong Zou, Rui Xu, Kai Wang, Min Gao
2019 — conf
A System for Calculating the Amount of Motion Based on 3D Pose Estimation.
ICAIS (2)
Yu Huo, Liming Zou, Min Gao, Jun Wang, Xin Guo, Jiande Sun
2019 J jnl
A novel coverless information hiding method based on the average pixel value of the sub-images.
Multim. Tools Appl.
Liming Zou, Jiande Sun, Min Gao, Wenbo Wan, Brij Bhooshan Gupta
2019 — conf
DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation.
ICONIP (4)
Xinyi Wang, Min Gao, Zhenni Lu, Zongwei Wang, Junwei Zhang, Yi Zhang
2019 J jnl
From similarity perspective: a robust collaborative filtering approach for service recommendations.
Frontiers Comput. Sci.
Min Gao, Bin Ling, Linda Yang, Junhao Wen, Qingyu Xiong, Shun Li
2019 A* conf
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.
ICDM
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
2019 J jnl
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.
CoRR
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang
2019 B conf
Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation.
IJCNN
Junwei Zhang, Min Gao, Junliang Yu, Xinyi Wang, Yuqi Song, Qingyu Xiong
2019 — conf
SRRL: Select Reliable Friends for Social Recommendation with Reinforcement Learning.
ICONIP (2)
Zhenni Lu, Min Gao, Xinyi Wang, Junwei Zhang, Haider Ali, Qingyu Xiong
2019 — conf
Tourism Service Recommendation Based on User Influence in Social Networks and Time Series.
HPCC/SmartCity/DSS
Jianxin Ye, Qingyu Xiong, Qiude Li, Min Gao, Rui Xu
2019 J jnl
Using fine-tuned conditional probabilities for data transformation of nominal attributes.
Pattern Recognit. Lett.
Qiude Li, Qingyu Xiong, Shengfen Ji, Junhao Wen, Min Gao, Yang Yu, Rui Xu
2018 A conf
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.
CIKM
Junliang Yu, Min Gao, Jundong Li, Hongzhi Yin, Huan Liu
2018 — —
Applications of Formal And Semi-formal Verification on Software Testing, High-level Synthesis And Energy Internet.
Min Gao
2018 B conf
Detection of Shilling Attack Based on Bayesian Model and User Embedding.
ICTAI
Fan Yang, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang
2018 — conf
Shandong Normal University in the VTT Tasks at TRECVID 2018.
TRECVID
Cheng Liu, Min Gao, Jun Wang, Liming Zou, En Yu, Jiande Sun, Lingchen Gu, Xiaoxi Liu, Yu Lu, Yu Zhang, Xueqi Zhao
2018 B conf
Social Recommendation Based on Implicit Friends Discovering Via Meta-Path.
ICTAI
Yuqi Song, Min Gao, Junliang Yu, Qingyu Xiong
2018 J jnl
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
Junhao Wen, Dawen Dai, Junliang Yu, Min Gao, Yihao Zhang
2017 J jnl
A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side.
IEEE Trans. Netw. Serv. Manag.
Shun Li, Junhao Wen, Fengji Luo, Min Gao, Jun Zeng, Zhao Yang Dong
2017 J jnl
A Social Recommender Based on Factorization and Distance Metric Learning.
IEEE Access
Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qingyu Xiong
2017 — conf
Attention Aware Semi-supervised Framework for Sentiment Analysis.
ICANN (2)
Jingshuang Liu, Wenge Rong, Chuan Tian, Min Gao, Zhang Xiong
2017 C conf
Collaborative Shilling Detection Bridging Factorization and User Embedding.
CollaborateCom
Tong Dou, Junliang Yu, Qingyu Xiong, Min Gao, Yuqi Song, Qianqi Fang
2017 C conf
Connecting Factorization and Distance Metric Learning for Social Recommendations.
KSEM
Junliang Yu, Min Gao, Yuqi Song, Zehua Zhao, Wenge Rong, Qingyu Xiong
2017 A* conf
Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models.
IJCAI
Nan Jiang, Wenge Rong, Min Gao, Yikang Shen, Zhang Xiong
2017 C conf
Impact of the Important Users on Social Recommendation System.
CollaborateCom
Zehua Zhao, Min Gao, Junliang Yu, Yuqi Song, Xinyi Wang, Min Zhang
2017 — conf
Important User Group Based Web Service Recommendation.
IIAI-AAI
Lulan Yu, Min Gao, Xinyu Xiao, Xiang Li, Qingyu Xiong
2017 C conf
Integrating User Embedding and Collaborative Filtering for Social Recommendations.
CollaborateCom
Junliang Yu, Min Gao, Yuqi Song, Qianqi Fang, Wenge Rong, Qingyu Xiong
2017 — conf
Make Users and Preferred Items Closer: Recommendation via Distance Metric Learning.
ICONIP (5)
Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qianqi Fang, Qingyu Xiong
2017 — conf
PUD: Social Spammer Detection Based on PU Learning.
ICONIP (5)
Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Junhao Wen, Qingyu Xiong
2017 C conf
PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning.
CollaborateCom
Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Lulan Yu, Xinyu Xiao
2017 — conf
Receding horizon guaranteed cost control for norm-bounded uncertain systems with actuator saturation.
CCTA
Jiaqi Zhong, Shan Liang, Qingyu Xiong, Min Gao, Kai Wang
2017 — conf
Semi-supervised Distance Consistent Cross-modal Retrieval.
VSCC@MM
Xiao Dong, En Yu, Min Gao, Lei Zhu, Jiande Sun, Huaxiang Zhang
2017 — conf
Shandong Normal University in the VTT Tasks at TRECVID 2017.
TRECVID
En Yu, Min Gao, Yafei Li, Xiao Dong, Jiande Sun
2017 B conf
Social recommendation using Euclidean embedding.
IJCNN
Wentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Ruixi Jia, Tong Dou
2017 J jnl
The Performance of Location Aware Shilling Attacks in Web Service Recommendation.
Int. J. Web Serv. Res.
Min Gao, Xiang Li, Wenge Rong, Junhao Wen, Qingyu Xiong
2017 B conf
Visual and Audio Aware Bi-Modal Video Emotion Recognition.
CogSci
Siqi Xiang, Wenge Rong, Zhang Xiong, Min Gao, Qingyu Xiong
2017 — conf
When diary meets lifelog video.
ISPACS
Min Gao, Jiande Sun, En Yu, Xiao Dong, Jing Li
2016 B conf
Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning.
IJCNN
Wentao Li, Min Gao, Hua Li, Qingyu Xiong, Junhao Wen, Zhongfu Wu
2016 C conf
LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning.
KSEM
Wentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Bin Ling
2016 — conf
Research Fronts of Robust Social Recommendation.
ICSS
Feng Jiang, Min Gao, Wentao Li
2016 — conf
Robust Social Recommendation Techniques: A Review.
ICISO
Feng Jiang, Min Gao, Qingyu Xiong, Junhao Wen, Yi Zhang
2016 J jnl
SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems.
Neurocomputing
Wei Zhou, Junhao Wen, Qingyu Xiong, Min Gao, Jun Zeng
2016 J jnl
Shilling Attack Detection in Recommender Systems via Selecting Patterns Analysis.
IEICE Trans. Inf. Syst.
Wentao Li, Min Gao, Hua Li, Jun Zeng, Qingyu Xiong, Sachio Hirokawa
2016 A conf
Shilling Attacks Analysis in Collaborative Filtering Based Web Service Recommendation Systems.
ICWS
Xiang Li, Min Gao, Wenge Rong, Qingyu Xiong, Junhao Wen
2016 J jnl
Video Recognition of Human Fall Based on Spatiotemporal Features.
Intell. Autom. Soft Comput.
Kai Wang, Youjin Zhao, Qingyu Xiong, Xiling Shen, Min Fan, Min Gao
2015 C conf
A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems.
KSEM
Wei Zhou, Junhao Wen, Min Gao, Ling Liu, Haini Cai, Xibin Wang
2014 — conf
A Hybrid Trust Degree Model in Social Network for Recommender System.
IIAI-AAI
Jun Zeng, Min Gao, Junhao Wen, Sachio Hirokawa
2012 J jnl
User-Weight Model for Item-based Recommendation Systems.
J. Softw.
Min Gao, Yunqing Fu, Yixiong Chen, Feng Jiang
2011 J jnl
Userrank for item-based collaborative filtering recommendation.
Inf. Process. Lett.
Min Gao, Zhongfu Wu, Feng Jiang
2010 J jnl
Incorporating Personalized Contextual Information in Item-based Collaborative Filtering Recommendation.
J. Softw.
Min Gao, Zhongfu Wu
2010 J jnl
Personalisation in web computing and informatics: Theories, techniques, applications, and future research.
Inf. Syst. Frontiers
Min Gao, Kecheng Liu, Zhongfu Wu
2009 — conf
EPN-Based Web Service Composition Approach.
WISM
Min Gao, Zhongfu Wu
2009 C conf
Personalized Context-Aware Collaborative Filtering Based on Neural Network and Slope One.
CDVE
Min Gao, Zhongfu Wu
2008 — conf
An EPN-based Method for Web Service Composition.
NAS
Min Gao, Lily Sun, Zhongfu Wu, Feng Jiang