Rujing Yao

Orcid: 0009-0001-2738-5786

According to our database1, Rujing Yao authored at least 21 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge Acquisition.
CoRR, April, 2026

2025
Teaching According to Students' Aptitude: Personalized Mathematics Tutoring via Persona-, Memory-, and Forgetting-Aware LLMs.
CoRR, November, 2025

Rethinking learning difficulty and uncertainty of samples with a target perturbation-aware bias-variance decomposition.
Int. J. Mach. Learn. Cybern., August, 2025

Data Optimization in Deep Learning: A Survey.
IEEE Trans. Knowl. Data Eng., May, 2025

Intelligent Legal Assistant: An Interactive Clarification System for Legal Question Answering.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Deep Interaction Timing: FOL-based Complexity Differentiation for Legal Queries.
Proceedings of the Twentieth International Conference on Artificial Intelligence and Law, 2025

Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
A Taxonomy for Learning with Perturbation and Algorithms.
ACM Trans. Knowl. Discov. Data, June, 2024

Improved PageRank and New Indices for Academic Impact Evaluation Using AI Papers as Case Studies.
J. Inf. Sci., 2024

2023
Exploring developments of the AI field from the perspective of methods, datasets, and metrics.
Inf. Process. Manag., 2023

2022
Deep human answer understanding for natural reverse QA.
Knowl. Based Syst., 2022

Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention.
Knowl. Based Syst., 2022

2021
Mitigating sentimental bias via a polar attention mechanism.
Int. J. Data Sci. Anal., 2021

Compensation Learning.
CoRR, 2021

2020
AI Marker-based Large-scale AI Literature Mining.
CoRR, 2020

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention.
CoRR, 2020

2019
Deep Human Answer Understanding for Natural Reverse QA.
CoRR, 2019

Method and Dataset Mining in Scientific Papers.
CoRR, 2019

Method and Dataset Mining in Scientific Papers.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2015
Application of Spatial Reasoning in Predicting Rainfall Situation for Two Disjoint Areas.
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015


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