| 2026 | IWQoS | Multi-View Flow Representation and Relation Graph Modeling for Network Traffic Classification. | Huanhuan Gu, Qingjun Xiao, Mingyi Wang, Jiaming Zhang, Qianmu Li |
| 2025 | ACNS | MSED: A Linguistic Steganalysis Method Based on Multi-granularity Semantic Extraction Using Dual-Mode Fusion. | Huifeng Li, Qianmu Li, Yingquan Chen, Qing Chang, Xiaocong Wu |
| 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 | SMC | Enhancing the Transferability of Adversarial Attacks with Majority-Vote. | Zhaorong Xie, Chanying Huang, Qianmu Li, Rui Wang, Jing Zhang, Xuyun Zhang |
| 2024 | ADMA | Disentangled Causal Embedding with Unbiased Knowledge Distillation for Recommendation. | Nan Liu, Shunmei Meng, Xiao Liu, Qianmu Li, Yu Jiang |
| 2024 | ADMA | Multi-Attribute Sequential Recommendation. | Shuhan Qiu, Shanming Wei, Qianmu Li |
| 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 |
| 2023 | ADMA | Boosting Adversarial Attacks with Improved Sign Method. | Bowen Guo, Yuxin Yang, Qianmu Li, Jun Hou, Ya Rao |
| 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 | CSCWD | Improving Adversarial Transferability with Heuristic Random Transformation. | Bowen Guo, Qianmu Li, Xiao Liu |
| 2023 | DASC | A Multi-Channel Composite Recommendation Method in Federated Learning. | Shi Chen, Qianmu Li, Qi Wang, Xinjian Zhao, Hao Ge, Nianzhe Li |
| 2023 | DASC | Black-box Speech Adversarial Attack with Genetic Algorithm and Generic Attack Ideas. | Yu Jiang, Luopu Liang, Qianmu Li |
| 2023 | DASC | MERGE: Multi-Entity Relational Reasoning Based Explanation in Visual Question Answering. | Mengzhu Pan, Qianmu Li, Tian Qiu |
| 2023 | DASC | Hybrid Multi-Strategy Improvements for The Aquila Optimizer. | Yinzhao Zhang, Wei Sun, Jun Hou, Qianmu Li |
| 2023 | DSAA | Stochastic Perturbation Averaging Boosts Transferability of Adversarial Examples. | Rongbo Yang, Qianmu Li, Shunmei Meng |
| 2023 | GPC | A Data Security Protection Method for Deep Neural Network Model Based on Mobility and Sharing. | Xinjian Zhao, Qianmu Li, Qi Wang, Shi Chen, Tengfei Li, Nianzhe Li |
| 2023 | HPCC | FDRS: Federated Diversified Recommender System Based on Heterogeneous Graph Convolutional Network. | Nianzhe Li, Hanwen Liu, Shunmei Meng, Qianmu Li |
| 2023 | ICANN | Multi-Granularity Contrastive Learning for Graph with Hierarchical Pooling. | Peishuo Liu, Cangqi Zhou, Xiao Liu, Jing Zhang, Qianmu Li |
| 2023 | ICDM | Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio. | Peishuo Liu, Cangqi Zhou, Jing Zhang, Qianmu Li, Dianming Hu |
| 2023 | ICONIP | MIC: An Effective Defense Against Word-Level Textual Backdoor Attacks. | Shufan Yang, Qianmu Li, Zhichao Lian, Pengchuan Wang, Jun Hou |
| 2023 | ICPADS | FedFC: An Efficient Personalized Federated Learning Method on Non-iid Data. | Yuxin Yang, Yifei Wang, Chanying Huang, Qianmu Li, Shan Xiao |
| 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 | APWEB | IMPGA: An Effective and Imperceptible Black-Box Attack Against Automatic Speech Recognition Systems. | Luopu Liang, Bowen Guo, Zhichao Lian, Qianmu Li, Huiyun Jing |
| 2022 | DASC | A Joint Knowledge Graph Reasoning Method. | Wenqing Yang, Xiaochao Li, Peng Wang, Jun Hou, Qianmu Li, Nan 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 | GECCO | Evolving convolutional neural networks for intrusion detection system using hybrid multi-strategy aquila optimizer. | Wei Sun, Qianmu Li, Pengchuan Wang, Jun Hou |
| 2022 | ICPR | Fused Pruning based Robust Deep Neural Network Watermark Embedding. | Tengfei Li, Shuo Wang, Huiyun Jing, Zhichao Lian, Shunmei Meng, Qianmu Li |
| 2022 | IJCNN | Attributed Graph Clustering with Double Contrastive Projector. | Yuxiang Wang, Cangqi Zhou, Jing Zhang, Qianmu Li |
| 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 |
| 2022 | WSDM | AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular Loss. | Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu |
| 2022 | SRDS | FWC: Fitting Weight Compression Method for Reducing Communication Traffic for Federated Learning. | Hao Jiang, Kedong Yan, Chanying Huang, Qianmu Li, Shan Xiao |
| 2021 | ACSAC | Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? | Deqiang Li, Tian Qiu, Shuo Chen, Qianmu Li, Shouhuai Xu |
| 2021 | ICA3PP | Transformer-Based Rating-Aware Sequential Recommendation. | Yang Li, Qianmu Li, Shunmei Meng, Jun Hou |
| 2021 | ICDM | Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation. | Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, Dianming Hu |
| 2021 | IJCNN | Heterogeneous Graph Embedding Based on Edge-aware Neighborhood Convolution. | Hui Chen, Cangqi Zhou, Jing Zhang, Qianmu Li |
| 2021 | Qshine | Puncturable Search: Enabling Authorized Search in Cross-data Federation. | Lin Mei, Chungen Xu, Qianmu Li |
| 2019 | IJCNN | ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework. | Junjie Yin, Yun Li, Zheng Liu, Jian Xu, Bin Xia, Qianmu Li |
| 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 |
| 2017 | ISKE | SimWalk: Learning network latent representations with social relation similarity. | Shicheng Cui, Bin Xia, Tao Li, Ming Wu, Deqiang Li, Qianmu Li, Hong Zhang |
| 2017 | ISKE | An accident prediction approach based on XGBoost. | Xuehuai Shi, Qianmu Li, Yong Qi, Tiantian Huang, Jianmei Li |
| 2017 | ISKE | A robust inference algorithm for crowd sourced categorization. | Ming Wu, Qianmu Li, Jing Zhang, Shicheng Cui, Deqiang Li, Yong Qi |
| 2017 | ISKE | Attention-based recurrent neural network for location recommendation. | Bin Xia, Yun Li, Qianmu Li, Tao Li |
| 2017 | ISKE | Long short-term memory neural network for network traffic prediction. | Qinzheng Zhuo, Qianmu Li, Han Yan, Yong Qi |
| 2015 | MICCAI | Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution. | Ruogu Fang, Ming Ni, Junzhou Huang, Qianmu Li, Tao Li |
| 2015 | WISE | File Relation Graph Based Malware Detection Using Label Propagation. | Ming Ni, Qianmu Li, Hong Zhang, Tao Li, Jun Hou |
| 2015 | WISE | A Classification-Based Demand Trend Prediction Model in Cloud Computing. | Qifeng Zhou, Bin Xia, Yexi Jiang, Qianmu Li, Tao Li |
| 2005 | SMC | A symmetric cryptography based on extended cellular automata. | Xuelong Zhao, Qianmu Li, Manwu Xu, Fengyu Liu |