| Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning N Wang, J Bian, Y Li, X Li, S Mumtaz, L Kong, H Xiong Nature Machine Intelligence, 1-10, 2024 | 25 | 2024 |
| When search engine services meet large language models: visions and challenges H Xiong, J Bian, Y Li, X Li, M Du, S Wang, D Yin, S Helal IEEE Transactions on Services Computing, 2024 | 23 | 2024 |
| COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search Y Li, H Xiong, Q Wang, L Kong, H Liu, H Li, J Bian, S Wang, G Chen, ... IEEE Transactions on Knowledge and Data Engineering 35 (12), 12542-12555, 2023 | 17* | 2023 |
| Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs Y Li, H Xiong, L Kong, R Zhang, D Dou, G Chen European Conference on Machine Learning and Principles and Practice of …, 2022 | 14* | 2022 |
| MHRR: MOOCs Recommender Service with Meta Hierarchical Reinforced Ranking Y Li, H Xiong, L Kong, R Zhang, F Xu, G Chen, M Li IEEE Transactions on Services Computing, 2023 | 13* | 2023 |
| GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search Y Li, H Xiong, L Kong, J Bian, S Wang, G Chen, D Yin Machine Learning, 1-19, 2024 | 12* | 2024 |
| Ltrgcn: Large-scale graph convolutional networks-based learning to rank for web search Y Li, H Xiong, L Kong, S Wang, Z Sun, H Chen, G Chen, D Yin Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 12* | 2023 |
| S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data Y Li, H Xiong, L Kong, Q Wang, S Wang, G Chen, D Yin Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 11* | 2023 |
| Adaptively shaping reinforcement learning agents via human reward C Yu, D Wang, T Yang, W Zhu, Y Li, H Ge, J Ren PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim …, 2018 | 10* | 2018 |
| Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective H Xiong, X Zhang, J Chen, X Sun, Y Li, Z Sun, M Du arXiv preprint arXiv:2401.04374, 2024 | 9 | 2024 |
| MPGraf: A Modular and Pre-trained Graphformer for Learning to Rank at Web-scale Y Li, H Xiong, L Kong, Z Sun, H Chen, S Wang, D Yin. 2023 IEEE International Conference on Data Mining (ICDM), 339-348, 2023 | 7 | 2023 |
| Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm Z Lyu, Y Li, G Zhu, J Xu, HV Poor, S Cui IEEE Transactions on Wireless Communications, 2024 | 6 | 2024 |
| Towards automated data sciences with natural language and sagecopilot: Practices and lessons learned Y Liao, J Bian, Y Yun, S Wang, Y Zhang, J Chu, T Wang, K Li, Y Li, X Li, ... arXiv preprint arXiv:2407.21040, 2024 | 3 | 2024 |
| Learning-based congestion control simulator for mobile internet education J Huang, L Kong, J Wu, Y Liu, Y Li, Z Wang Proceedings of the 16th ACM Workshop on Mobility in the Evolving Internet …, 2021 | 2 | 2021 |
| TagRec: Temporal-Aware Graph Contrastive Learning with Theoretical Augmentation for Sequential Recommendation T Peng, H Yuan, Y Zhang, Y Li, P Dai, Q Wang, S Wang, W Wu IEEE Transactions on Knowledge and Data Engineering, 2025 | 1 | 2025 |
| UCMM: Unsupervised Convolutional Networks for Accurate and Efficient Map Matching with Mobile Cellular Data M Cai, C Ma, Y Li, Z Lyu, Y Liu, L Kong, G Chen IEEE Transactions on Mobile Computing, 2025 | | 2025 |
| Pre-trained Molecular Language Models with Random Functional Group Masking T Peng, Y Li, X Li, J Bian, Z Xie, N Sui, S Mumtaz, Y Xu, L Kong, H Xiong arXiv preprint arXiv:2411.01401, 2024 | | 2024 |
| HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links H Du, Y Chen, R Yang, Y Li, L Kong The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
Haoyi XiongMicrosoft在 microsoft.com 的电子邮件经过验证