Ningtao Wang
Orcid: 0009-0005-6577-5047
According to our database1,
Ningtao Wang authored at least 24 papers
between 2013 and 2026.
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Bibliography
2026
Passing on Wisdom: LLM-Driven Cascaded Knowledge Distillation for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., June, 2026
From Parameters to Data: A Task-Parameter-Guided Fine-Tuning Pipeline for Efficient LLM Alignment.
CoRR, May, 2026
CoRR, May, 2026
Identifying technology opportunities via technology landscape from the perspective of convergence degree: A case study of computer vision and wind power.
Adv. Eng. Informatics, 2026
Proceedings of the ACM Web Conference 2026, 2026
Proceedings of the ACM Web Conference 2026, 2026
2025
ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models.
CoRR, May, 2025
Identifying and evaluating R&D partners via patent-based multilayer networks from the perspective of knowledge complementarity: A case study of unmanned ship technology.
Comput. Ind. Eng., 2025
LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
Self-supervision meets kernel graph neural models: From architecture to augmentations.
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2018
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set.
J. Biomed. Informatics, 2018
2014
Briefings Bioinform., 2014
Briefings Bioinform., 2014
2013
A quantitative model of transcriptional differentiation driving host-pathogen interactions.
Briefings Bioinform., 2013
Briefings Bioinform., 2013