GS<sup>2</sup>P: a generative pre-trained learning to rank model with over-parameterization for web-scale search.
Mach. Learn., July, 2024
When Search Engine Services Meet Large Language Models: Visions and Challenges.
IEEE Trans. Serv. Comput., 2024
Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning.
Nat. Mac. Intell., 2024
Pre-trained Molecular Language Models with Random Functional Group Masking.
CoRR, 2024
Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract).
CoRR, 2024
Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract).
CoRR, 2024
Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned.
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CoRR, 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective.
CoRR, 2024
HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.
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IEEE Trans. Knowl. Data Eng., December, 2023
MHRR: MOOCs Recommender Service With Meta Hierarchical Reinforced Ranking.
IEEE Trans. Serv. Comput., 2023
LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
S<sup>2</sup>phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale.
Proceedings of the IEEE International Conference on Data Mining, 2023
Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Learning-based congestion control simulator for mobile internet education.
Proceedings of the MobiArch@MobiCom 2021: Proceedings of the 16th ACM Workshop on Mobility in the Evolving Internet Architecture, 2021
Adaptively Shaping Reinforcement Learning Agents via Human Reward.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018