activity
20192026
most citedQuery-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Environment-in-the-Loop: Rethinking Code Migration with LLM-based Agents

Xiang Li, Zhiwei Fei, Ying Ma +3

Modern software systems continuously undergo code upgrades to enhance functionality, security, and performance, and Large Language Models (LLMs) have demonstrated remarkable capabi…

cs.SD2026

HeartMuLa: A Family of Open Sourced Music Foundation Models

Dongchao Yang, Yuxin Xie, Yuguo Yin +26

We present a family of open-source Music Foundation Models designed to advance large-scale music understanding and generation across diverse tasks and modalities. Our framework con…

cs.SE2025

BloomAPR: A Bloom's Taxonomy-based Framework for Assessing the Capabilities of LLM-Powered APR Solutions

Yinghang Ma, Jiho Shin, Leuson Da Silva +5

Recent advances in large language models (LLMs) have accelerated the development of AI-driven automated program repair (APR) solutions. However, these solutions are typically evalu…

cs.IR2019★ 2 cited

Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU

Yu Zhu, Yu Gong, Qingwen Liu +6

Recently, interactive recommender systems are becoming increasingly popular. The insight is that, with the interaction between users and the system, (1) users can actively interven…

cs.IT2019

Spatially Coupled LDPC Codes and the Multiple Access Channel

Sebastian Cammerer, Xiaojie Wang, Yingyan Ma +1

We consider spatially coupled low-density parity-check (SC-LDPC) codes within a non-orthogonal interleave division multiple access (IDMA) scheme to avoid cumbersome degree profile…