4 citations · 4 across the 8 of their papers we have counts for
8 papers
Modeling Stylistic Co-evolution in Symbolic Music Heritage Collections
Yulong He, Ivan Smirnov, Yanming Li
Digitized musical heritage collections offer new opportunities to examine how stylistic traditions change over historical time, but computational analyses often reduce musical work…
Structured Multi-Criteria Evaluation of Large Language Models with Fuzzy Analytic Hierarchy Process and DualJudge
Yulong He, Ivan Smirnov, Dmitry Fedrushkov +2
Effective evaluation of large language models (LLMs) remains a critical bottleneck, as conventional direct scoring often yields inconsistent and opaque judgments. In this work, we…
Opinion dynamics and mutual influence with LLM agents through dialog simulation
Yulong He, Dutao Zhang, Sergey Kovalchuk +2
A fundamental challenge in opinion dynamics research is the scarcity of real-world longitudinal opinion data, which complicates the validation of theoretical models. To address thi…
ArkTS-CodeSearch: A Open-Source ArkTS Dataset for Code Retrieval
Yulong He, Artem Ermakov, Sergey Kovalchuk +2
ArkTS is a core programming language in the OpenHarmony ecosystem, yet research on ArkTS code intelligence is hindered by the lack of public datasets and evaluation benchmarks. Thi…
Social Life of Code: Modeling Evolution through Code Embedding and Opinion Dynamics
Yulong He, Nikita Verbin, Sergey Kovalchuk
Software repositories provide a detailed record of software evolution by capturing developer interactions through code-related activities such as pull requests and modifications. T…
Opinion Dynamics Models for Sentiment Evolution in Weibo Blogs
Yulong He, Anton V. Proskurnikov, Artem Sedakov
Online social media platforms enable influencers to distribute content and quickly capture audience reactions, significantly shaping their promotional strategies and advertising ag…
Style2Code: A Style-Controllable Code Generation Framework with Dual-Modal Contrastive Representation Learning
Dutao Zhang, Nicolas Rafael Arroyo Arias, YuLong He +1
Controllable code generation, the ability to synthesize code that follows a specified style while maintaining functionality, remains a challenging task. We propose a two-stage trai…
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuning
Ovanes Petrosian, Li Pengyi, He Yulong +4
Rolling bearing fault detection has developed rapidly in the field of fault diagnosis technology, and it occupies a very important position in this field. Deep learning-based beari…