| 2026 | WSDM | DDGCL: Dual Diffusion-based Graph Contrastive Learning for Recommendation. | Shiqi Ge, Shunmei Meng, Xiaoxiao Chi, Lianyong Qi, Xiaolong Xu, Amin Beheshti, Xuyun Zhang |
| 2025 | ADMA | Hypergraph Disentangling and Cross-Level Contrastive Learning for Recommendation. | Yu Zhang, Shunmei Meng, Jielong Zhou, Qianmu Li, Xuyun Zhang |
| 2025 | APWEB | Shilling Attacks on GNN-Based Recommender Systems with Graph Contrastive Learning. | Qixin Guan, Shunmei Meng, Qianmu Li, Xuyun Zhang |
| 2025 | ICA3PP | SWinAct: Multi-anchor Guided Sliding Windows for Robust Temporal Action Modeling. | Junwei Zhao, Shunmei Meng, Jielong Zhou, Qianmu Li |
| 2025 | IJCNN | Towards Effective Edge Unlearning: Enhancing Graph Unlearning via Contrastive Learning with Adversarial Example. | Miaolin Xing, Jielong Zhou, Shunmei Meng, Nan Liu, Xuyun Zhang |
| 2025 | ICWS | LLMGCL: Graph Contrastive Learning with Large Language Models for Recommendation. | Shiqi Ge, Shunmei Meng, Jielong Zhou, Lianyong Qi, Xiaolong Xu, Xuyun Zhang |
| 2025 | ICWS | Relation-Aware Contrastive Learning for Knowledge-Based Recommendation. | Yu Zhang, Shunmei Meng, Jielong Zhou, Shanming Wu |
| 2024 | ADMA | Disentangled Causal Embedding with Unbiased Knowledge Distillation for Recommendation. | Nan Liu, Shunmei Meng, Xiao Liu, Qianmu Li, Yu Jiang |
| 2024 | ADMA | Graph Contrastive Learning for Multi-behavior Recommendation. | Haiying Li, Huihui Wang, Shunmei Meng, Xingguo Chen |
| 2024 | ADMA | Boosting Adversarial Transferability by Uniform Scale and Mix Mask Method. | Tao Wang, Qianmu Li, Zhichao Lian, Zijian Ying, Fan Liu, Shunmei Meng |
| 2024 | DASFAA | Cascading Graph Convolution Contrastive Learning Networks for Multi-behavior Recommendation. | Nan Liu, Shunmei Meng, Yu Jiang, Qianmu Li, Xiaolong Xu, Lianyong Qi, Xuyun Zhang |
| 2024 | ICWS | Hyperbolic Contrastive Learning with Second Order Sampling for Collaborative Filtering. | Longchuan Tu, Shunmei Meng, Lianyong Qi, Xiaolong Xu, Xuyun Zhang |
| 2024 | WISE | Semantic Similarity-Based Graph Contrastive Learning for Recommender System. | Longchuan Tu, Shunmei Meng, Xiao Liu, Guanfeng Liu, Amin Beheshti, Xuyun Zhang |
| 2023 | APWEB | Multi-relational Heterogeneous Graph Attention Networks for Knowledge-Aware Recommendation. | Youxuan Wang, Shunmei Meng, Qi Yan, Jing Zhang |
| 2023 | CIKM | SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation. | Xiao Liu, Shunmei Meng, Qianmu Li, Lianyong Qi, Xiaolong Xu, Wanchun Dou, Xuyun Zhang |
| 2023 | DSAA | Stochastic Perturbation Averaging Boosts Transferability of Adversarial Examples. | Rongbo Yang, Qianmu Li, Shunmei Meng |
| 2023 | HPCC | FDRS: Federated Diversified Recommender System Based on Heterogeneous Graph Convolutional Network. | Nianzhe Li, Hanwen Liu, Shunmei Meng, Qianmu Li |
| 2023 | ICPADS | Knowledge-aware Multi-view Cross Learning for Edge-based Collaborative Recommendation. | Yang Dai, Shunmei Meng, Huanhuan Gu, Nan Liu, Longchuan Tu |
| 2023 | ICWS | Disentangled Hypergraph Collaborative Filtering for Social Recommendation. | Xiao Liu, Shunmei Meng, Qianmu Li, Xiaolong Xu, Lianyong Qi, Wanchun Dou, Jing Zhang, Xuyun Zhang |
| 2023 | SMC | Run Away From the Original Example and Towards Transferability. | Rongbo Yang, Qianmu Li, Shunmei Meng |
| 2023 | WISE | Noise-Augmented Contrastive Learning for Sequential Recommendation. | Kun He, Shunmei Meng, Qianmu Li, Xiao Liu, Amin Beheshti, Xiaoxiao Chi, Xuyun Zhang |
| 2022 | DSAA | Federated Deep Recommendation System Based on Multi-View Feature Embedding. | Xinna Wang, Shunmei Meng, Yanran Chen, Qiyan Liu, Rui Yuan, Qianmu Li |
| 2022 | ICPR | Fused Pruning based Robust Deep Neural Network Watermark Embedding. | Tengfei Li, Shuo Wang, Huiyun Jing, Zhichao Lian, Shunmei Meng, Qianmu Li |
| 2022 | ISPA | Knowledge-aware Graph Attention Network with Distributed & Cross Learning for Collaborative Recommendation. | Yang Dai, Shunmei Meng, Qiyan Liu, Xiao Liu |
| 2022 | UIC | Long- and Short- Term Sequential Recommendation with Temporal Interval. | Kun He, Qiyan Liu, Qianmu Li, Shunmei Meng |
| 2022 | UIC | Attention-Based Knowledge-aware Multi-Interest Intelligent Model for Sequential Recommendation. | Yang Li, Qianmu Li, Shunmei Meng, Jun Hou |
| 2021 | DASC | A Privacy-Aware Multi-Preference-Based Collaborative Filtering Recommendation System with LSH. | Xinna Wang, Rui Yuan, Jiangmin Xu, Shunmei Meng |
| 2021 | DASC | A Differential-Privacy-based hybrid collaborative recommendation method with factorization and regression. | Rui Yuan, Xinna Wang, Jiangmin Xu, Shunmei Meng |
| 2021 | ICA3PP | Transformer-Based Rating-Aware Sequential Recommendation. | Yang Li, Qianmu Li, Shunmei Meng, Jun Hou |
| 2020 | AAAI | Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. | Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng |
| 2019 | ICDM | Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers. | Huihui Wang, Shunmei Meng, Yiming Qiao, Jing Zhang |
| 2018 | ICSOC | Temporal-Sparsity Aware Service Recommendation Method via Hybrid Collaborative Filtering Techniques. | Shunmei Meng, Qianmu Li, Shiping Chen, Shui Yu, Lianyong Qi, Wenmin Lin, Xiaolong Xu, Wanchun Dou |
| 2016 | ICWS | An Uncertainty-Aware Evolutionary Scheduling Method for Cloud Service Provisioning. | Shunmei Meng, Song Wang, Taotao Wu, Duanchao Li, Taigui Huang, Xiaotong Wu, Xiaolong Xu, Wan-Chun Dou |
| 2016 | ICWS | A Temporal-Aware Hybrid Collaborative Recommendation Method for Cloud Service. | Shunmei Meng, Zuojian Zhou, Taigui Huang, Duanchao Li, Song Wang, Fan Fei, Wenping Wang, Wan-Chun Dou |