| Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization Q Duan, C Shao, G Zhou, M Zhang, Q Zhao, Y Shi IEEE Transactions on Parallel and Distributed Systems, 2024 | | 2024 |
| Solving dynamic multimodal optimization problems via a niching-based brain storm optimization with two archives algorithm H Jin, X Wang, S Cheng, Y Sun, M Zhang, H Lu, H Wu, Y Shi Swarm and Evolutionary Computation 89, 101649, 2024 | | 2024 |
| Gradient Inversion Attacks: Impact Factors Analyses and Privacy Enhancement Z Ye, W Luo, Q Zhou, Z Zhu, Y Shi, Y Jia IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | | 2024 |
| Poisoning decentralized collaborative recommender system and its countermeasures R Zheng, L Qu, T Chen, K Zheng, Y Shi, H Yin Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 2 | 2024 |
| Towards personalized privacy: User-governed data contribution for federated recommendation L Qu, W Yuan, R Zheng, L Cui, Y Shi, H Yin Proceedings of the ACM on Web Conference 2024, 3910-3918, 2024 | 8 | 2024 |
| Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation R Zheng, L Qu, T Chen, L Cui, Y Shi, H Yin Proceedings of the ACM on Web Conference 2024, 3930-3939, 2024 | 3 | 2024 |
| Automated Metaheuristic Algorithm Design with Autoregressive Learning Q Zhao, T Liu, B Yan, Q Duan, J Yang, Y Shi arXiv preprint arXiv:2405.03419, 2024 | | 2024 |
| Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification L Qu, C Wang, Y Shi arXiv preprint arXiv:2404.15585, 2024 | | 2024 |
| Automated Similarity Metric Generation for Recommendation L Qu, Y Lin, W Yuan, X Wan, Y Shi, H Yin arXiv preprint arXiv:2404.11818, 2024 | | 2024 |
| Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization W Luo, P Xu, S Yang, Y Shi arXiv preprint arXiv:2402.02033, 2024 | | 2024 |
| Personalized Elastic Embedding Learning for On-Device Recommendation R Zheng, L Qu, T Chen, K Zheng, Y Shi, H Yin IEEE Transactions on Knowledge and Data Engineering, 2024 | 5 | 2024 |
| A novel discrete conformable fractional grey system model for forecasting carbon dioxide emissions P Zhu, H Zhang, Y Shi, W Xie, M Pang, Y Shi Environment, Development and Sustainability, 1-29, 2024 | 5 | 2024 |
| Bi-Objective Influence Maximization with Consideration of Node Burden M Feng, Q Zhao, S He, Y Shi | | 2024 |
| On-device recommender systems: A comprehensive survey H Yin, L Qu, T Chen, W Yuan, R Zheng, J Long, X Xia, Y Shi, C Zhang arXiv preprint arXiv:2401.11441, 2024 | 22 | 2024 |
| Embodied multi-modal agent trained by an llm from a parallel textworld Y Yang, T Zhou, K Li, D Tao, L Li, L Shen, X He, J Jiang, Y Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| Solving multimodal optimization problems by a knowledge-driven brain storm optimization algorithm S Cheng, X Wang, M Zhang, X Lei, H Lu, Y Shi Applied Soft Computing 150, 111105, 2024 | 5 | 2024 |
| An Evolutionary Attack for Revealing Training Data of DNNs With Higher Feature Fidelity Z Ye, W Luo, R Zhang, H Zhang, Y Shi, Y Jia IEEE Transactions on Dependable and Secure Computing, 2023 | | 2023 |
| Multiparty distance minimization: Problems and an evolutionary approach Z She, W Luo, X Lin, Y Chang, Y Shi Swarm and Evolutionary Computation 83, 101415, 2023 | | 2023 |
| Lightweight CNN architecture design based on spatial-temporal tensor and its application in bearing fault diagnosis Z Wang, H Lu, Y Shi, X Wang IEEE Transactions on Instrumentation and Measurement, 2023 | 3 | 2023 |
| Robust peer-to-peer learning via secure multi-party computation Y Luo, W Luo, R Zhang, H Zhang, Y Shi Journal of Information and Intelligence 1 (4), 341-351, 2023 | | 2023 |
Shi CHENG 程适School of Computer Science, Shaanxi Normal UniversityVerified email at snnu.edu.cn
