Ningtao Wang

Orcid: 0009-0005-6577-5047

According to our database1, Ningtao Wang authored at least 24 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

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

TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding.
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

KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling.
Proceedings of the ACM Web Conference 2026, 2026

Reinforcement Learning with Verbalized Probabilities for LLM Classification.
Proceedings of the ACM Web Conference 2026, 2026

2025
Table as a Modality for Large Language Models.
CoRR, December, 2025

Chinese ModernBERT with Whole-Word Masking.
CoRR, October, 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

Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Ultra-imbalanced classification guided by statistical information.
CoRR, 2024

Enhancing Fraud Transaction Detection via Unlabeled Suspicious Records.
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

A Momentum Loss Reweighting Method for Improving Recall.
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
Towards a comprehensive picture of the genetic landscape of complex traits.
Briefings Bioinform., 2014

A bi-Poisson model for clustering gene expression profiles by RNA-seq.
Briefings Bioinform., 2014

2013
A quantitative model of transcriptional differentiation driving host-pathogen interactions.
Briefings Bioinform., 2013

A multivalent three-point linkage analysis model of autotetraploids.
Briefings Bioinform., 2013


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