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Yingxia Shao
26 papers at tracked venues · 23 at CORE A* · active 2024–2026
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Venues
AAAI
×4
ICDE
×4
VLDB
×4
ACL
×2
ACM MM
×2
WWW
×2
CIKM
×1
ECML-PKDD
×1
ICLR
×1
IJCAI
×1
NeurIPS
×1
SIGIR
×1
SIGKDD
×1
SIGMOD
×1
Frequent coauthors
Chaofan Li
×7
Lei Chen
×5
Zheng Liu
×5
Defu Lian
×5
Zhe Xue
×4
Guanhua Ye
×4
Yawen Li
×4
Yanyan Shen
×3
Junping Du
×3
Meiyu Liang
×3
Shitao Xiao
×3
Wentao Zhang
×3
Papers
Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling
BibTeX ⧉
VLDB 2026
·
Xin Zhang
,
Yanyan Shen
,
Yingxia Shao
,
Haoyang Li
,
Lei Chen
HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion
BibTeX ⧉
AAAI 2026
·
Di Wang
,
Junping Du
,
Zhe Xue
,
Meiyu Liang
,
Guanhua Ye
,
Yingxia Shao
,
Haisheng Li
JITPrune: An Efficient Online Feature Pruning Framework for Embedding-Based DLRM Training
BibTeX ⧉
ICDE 2026
·
Hongzheng Li
,
Yucheng Wu
,
Junjie Zhai
,
Anan Liu
,
Yuekui Yang
,
Yingxia Shao
LLMSQLMUTATOR: LLM-Powered Test Case Generation for Database Using Bug Reports
BibTeX ⧉
ICDE 2026
·
Chenglin Tian
,
Chaofan Li
,
Yawen Li
,
Yingxia Shao
Rethink Representation Learning for Questionnaire Data
BibTeX ⧉
AAAI 2026
·
Guanhua Ye
,
Jifeng He
,
Yan Li
,
Junping Du
,
Zhe Xue
,
Yingxia Shao
,
Meiyu Liang
,
Yawen Li
CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks
BibTeX ⧉
IJCAI 2025
·
Aijing Li
,
Junping Du
,
Dandan Liu
,
Yingxia Shao
,
Tong Zhao
,
Guanhua Ye
Context-Aware Fine-Grained Graph RAG for Query-Focused Summarization
BibTeX ⧉
CIKM 2025
·
Yubin Hong
,
Chaofan Li
,
Jingyi Zhang
,
Yingxia Shao
DBPecker: A Graph-Based Compound Anomaly Diagnosis System for Distributed RDBMSs
BibTeX ⧉
VLDB 2025
·
Qingliu Wu
,
Qingfeng Xiang
,
Yingxia Shao
,
Qiyao Luo
,
Quanqing Xu
Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Retrieval
BibTeX ⧉
ACM MM 2025
·
Zhengyang Liang
,
Meiyu Liang
,
Wei Huang
,
Yawen Li
,
Wu Liu
,
Yingxia Shao
,
Kangkang Lu
Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width
BibTeX ⧉
WWW 2025
·
Zheng Liu
,
Chaofan Li
,
Shitao Xiao
,
Chaozhuo Li
,
Chen Jason Zhang
,
Hao Liao
,
Defu Lian
,
Yingxia Shao
Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges
BibTeX ⧉
WWW 2025
·
Jia Wang
,
Yawen Li
,
Zhe Xue
,
Yingxia Shao
,
Zeli Guan
,
Wenling Li
LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification
BibTeX ⧉
SIGKDD 2025
·
Zeang Sheng
,
Weiyang Guo
,
Yingxia Shao
,
Wentao Zhang
,
Bin Cui
Making Text Embedders Few-Shot Learners
BibTeX ⧉
ICLR 2025
·
Chaofan Li
,
Minghao Qin
,
Shitao Xiao
,
Jianlyu Chen
,
Kun Luo
,
Defu Lian
,
Yingxia Shao
,
Zheng Liu
Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval
BibTeX ⧉
ACL 2025
·
Chaofan Li
,
Jianlyu Chen
,
Yingxia Shao
,
Chaozhuo Li
,
Quanqing Xu
,
Defu Lian
,
Zheng Liu
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning
BibTeX ⧉
AAAI 2025
·
Jia Wang
,
Yawen Li
,
Yingxia Shao
,
Zhe Xue
,
Zeli Guan
,
Ang Li
,
Guanhua Ye
Towards A Generalist Code Embedding Model Based On Massive Data Synthesis
BibTeX ⧉
NeurIPS 2025
·
Chaofan Li
,
Jianlyu Chen
,
Yingxia Shao
,
Defu Lian
,
Zheng Liu
Towards Scalable and Efficient Graph Structure Learning
BibTeX ⧉
ICDE 2025
·
Siqi Shen
,
Wentao Zhang
,
Chengshuo Du
,
Chong Chen
,
Fangcheng Fu
,
Yingxia Shao
,
Bin Cui
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
BibTeX ⧉
ICDE 2024
·
Xinyi Gao
,
Wentao Zhang
,
Junliang Yu
,
Yingxia Shao
,
Quoc Viet Hung Nguyen
,
Bin Cui
,
Hongzhi Yin
DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning
BibTeX ⧉
VLDB 2024
·
Zhiyuan Li
,
Xun Jian
,
Yue Wang
,
Yingxia Shao
,
Lei Chen
ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs
BibTeX ⧉
VLDB 2024
·
Shihong Gao
,
Yiming Li
,
Yanyan Shen
,
Yingxia Shao
,
Lei Chen
LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model
BibTeX ⧉
AAAI 2024
·
Linmei Hu
,
Hongyu He
,
Duokang Wang
,
Ziwang Zhao
,
Yingxia Shao
,
Liqiang Nie
Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering
BibTeX ⧉
SIGIR 2024
·
Duokang Wang
,
Linmei Hu
,
Rui Hao
,
Yingxia Shao
,
Xin Lv
,
Liqiang Nie
,
Juanzi Li
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval
BibTeX ⧉
ACL 2024
·
Chaofan Li
,
Zheng Liu
,
Shitao Xiao
,
Yingxia Shao
,
Defu Lian
NovaChart: A Large-scale Dataset towards Chart Understanding and Generation of Multimodal Large Language Models
BibTeX ⧉
ACM MM 2024
·
Linmei Hu
,
Duokang Wang
,
Yiming Pan
,
Jifan Yu
,
Yingxia Shao
,
Chong Feng
,
Liqiang Nie
SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement
BibTeX ⧉
SIGMOD 2024
·
Shihong Gao
,
Yiming Li
,
Xin Zhang
,
Yanyan Shen
,
Yingxia Shao
,
Lei Chen
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
BibTeX ⧉
ECML-PKDD 2024
·
Xizhi Gu
,
Hongzheng Li
,
Shihong Gao
,
Xinyan Zhang
,
Lei Chen
,
Yingxia Shao