| Cross-domain recommendation via user interest alignment C Zhao, H Zhao, M He, J Zhang, J Fan International World Wide Web Conference 2023, 2023 | 59 | 2023 |
| CoEA: A cooperative–competitive evolutionary algorithm for bidirectional recommendations H Zhao, X Wu, C Zhao, L Zhang, H Ma, F Cheng IEEE Transactions on Evolutionary Computation 26 (1), 28-42, 2021 | 23 | 2021 |
| Cross-domain recommendation via progressive structural alignment C Zhao, H Zhao, X Li, M He, J Wang, J Fan IEEE Transactions on Knowledge and Data Engineering, 2023 | 22 | 2023 |
| An ensemble learning approach with gradient resampling for class-imbalance problems H Zhao, C Zhao, X Zhang, N Liu, H Zhu, Q Liu, H Xiong INFORMS Journal on Computing 35 (4), 747-763, 2023 | 13 | 2023 |
| Winning tracker: a new model for real-time winning prediction in MOBA games C Zhao, H Zhao, Y Ge, R Wu, X Shen Proceedings of the ACM Web Conference 2022, 3387-3395, 2022 | 9 | 2022 |
| Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition C Zhao, X Li, M He, H Zhao, J Fan Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 7 | 2023 |
| A Machine Learning Method for Measuring Information Disclosure in Sharing Economy Platforms. X Wei, W He, X Zhang, C Zhao, H Zhao ICIS, 2020 | 5 | 2020 |
| Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach C Zhao, H Zhao, R Wu, Q Deng, Y Ding, J Tao, C Fan Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4371-4378, 2022 | 3 | 2022 |
| 基于贝叶斯网络的生鲜物流风险评估 赵闯， 朗坤 系统科学与数学 40 (11), 2108, 2020 | 3 | 2020 |
| Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach L Zhang, W Xiang, C Zhao, H Zhao, R Li, R Wu Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 9040-9047, 2022 | 2 | 2022 |
| GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts X Li, C Zhao, H Zhao, L Wu, M He arXiv preprint arXiv:2408.09671, 2024 | 1 | 2024 |
| Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems Z Xiang, H Zhao, C Zhao, M He, J Fan 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024 | 1 | 2024 |
| Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs C Zhao, X Su, M He, H Zhao, J Fan, X Li arXiv preprint arXiv:2410.20642, 2024 | | 2024 |
| Enhancing Precision Drug Recommendations via In-depth Exploration of Motif Relationships C Zhao, H Zhao, X Zhou, X Li IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| MobileExperts: A Dynamic Tool-Enabled Agent Team in Mobile Devices J Zhang, C Zhao, Y Zhao, Z Yu, M He, J Fan arXiv preprint arXiv:2407.03913, 2024 | | 2024 |
| Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach C Zhao, H Zhao, M He, X Li, J Fan arXiv preprint arXiv:2406.16494, 2024 | | 2024 |
| Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment C Zhao, H Zhao, H Zhu, Z Huang, N Feng, E Chen, H Xiong IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 | | 2024 |
Ming He (何明)Advisory Researcher, AI Laboratory at Lenovo ResearchVerified email at lenovo.com
