Yingxia Shao

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 121

Top Venues

Publications

Jinqing Lian, Xinyi Liu, Yingxia Shao, Yang Dong, Ming Wang, Zhang Wei, Tianqi Wan, Ming Dong, Hailin Yan
ChatBI: Towards Natural Language to Complex Business Intelligence SQL. CoRR (2024)
Zhiyuan Li, Xun Jian, Yue Wang, Yingxia Shao, Lei Chen
DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning. Proc. VLDB Endow. 17 (6) (2024)
Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang
How good are machine learning clouds? Benchmarking two snapshots over 5 years. VLDB J. 33 (3) (2024)
Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie
LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. AAAI (2024)
Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie
LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. CoRR (2024)
Duokang Wang, Linmei Hu, Rui Hao, Yingxia Shao, Xin Lv, Liqiang Nie, Juanzi Li
Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering. SIGIR (2024)
Yuanhao Zeng, Min Wang, Yihang Wang, Yingxia Shao
Token-Efficient Leverage Learning in Large Language Models. CoRR (2024)
Xizhi Gu, Hongzheng Li, Shihong Gao, Xinyan Zhang, Lei Chen, Yingxia Shao
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training. CoRR (2024)
Shihong Gao, Yiming Li, Yanyan Shen, Yingxia Shao, Lei Chen
ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs. Proc. VLDB Endow. 17 (5) (2024)
Ang Li, Yawen Li, Yingxia Shao
Federated learning for supervised cross-modal retrieval. World Wide Web (WWW) 27 (4) (2024)
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. ICDE (2024)
Shihong Gao, Yiming Li, Xin Zhang, Yanyan Shen, Yingxia Shao, Lei Chen
SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement. Proc. ACM Manag. Data 2 (3) (2024)
Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval. ACL (1) (2024)
Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen
Distributed Graph Neural Network Training: A Survey. ACM Comput. Surv. 56 (8) (2024)
Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui
Experimental Analysis of Large-scale Learnable Vector Storage Compression. Proc. VLDB Endow. 17 (4) (2023)
Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao
Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract). IJCAI (2023)
Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui
CG: a privacy preserving collaborative graph neural network training framework. VLDB J. 32 (4) (2023)
Ziwang Zhao, Linmei Hu, Hanyu Zhao, Yingxia Shao, Yequan Wang
Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering. ACL (1) (2023)
Runze Fang, Yawen Li, Yingxia Shao, Zeli Guan, Zhe Xue
Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion. CoRR (2023)
Peiyu Liu, Junping Du, Yingxia Shao, Zeli Guan
Relation Extraction Model Based on Semantic Enhancement Mechanism. CoRR (2023)
Weikang Chen, Junping Du, Yingxia Shao, Jia Wang, Yangxi Zhou
Dynamic Fair Federated Learning Based on Reinforcement Learning. CoRR (2023)
Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao
Making Large Language Models A Better Foundation For Dense Retrieval. CoRR (2023)
Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. CoRR (2023)
Ang Li, Yawen Li, Yingxia Shao, Bingyan Liu
Multi-View Scholar Clustering With Dynamic Interest Tracking. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Jinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems. CoRR (2023)
Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Zihong Wang, Yingxia Shao, Jiyuan He, Jinbao Liu, Shitao Xiao, Tao Feng, Ming Liu
Diversity-aware Deep Ranking Network for Recommendation. CIKM (2023)
Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao, Liqiang Nie
Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection. ACL (1) (2023)
Jinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems. Proc. VLDB Endow. 16 (13) (2023)
Zheng Liu, Shitao Xiao, Yingxia Shao, Zhao Cao
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. ACL (1) (2023)
Xin Zhang, Yanyan Shen, Yingxia Shao, Lei Chen
DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU. Proc. ACM Manag. Data 1 (2) (2023)
Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao
LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. SIGIR (2023)
Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui
Experimental Analysis of Large-scale Learnable Vector Storage Compression. CoRR (2023)
Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. CoRR (2023)
Jie Gao, Junping Du, Yingxia Shao, Ang Li, Zeli Guan
Social Network Community Detection Based on Textual Content Similarity and Sentimental Tendency. CoRR (2022)
Shitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui
LECF: recommendation via learnable edge collaborative filtering. Sci. China Inf. Sci. 65 (1) (2022)
Jia Wang, Junping Du, Yingxia Shao, Ang Li
Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon. CoRR (2022)
Yuxin Liu, Yawen Li, Yingxia Shao, Zeli Guan
Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property. CoRR (2022)
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. WWW (2022)
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. CoRR (2022)
Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract). ICDE (2022)
Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui
Scalable Graph Sampling on GPUs with Compressed Graph. CIKM (2022)
Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder. EMNLP (2022)
Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. CoRR (2022)
Yuhui Wang, Yingxia Shao, Ang Li
Research on Intellectual Property Resource Profile and Evolution Law. CoRR (2022)
Runze Fang, Junping Du, Yingxia Shao, Zeli Guan
A Relational Triple Extraction Method Based on Feature Reasoning for Technological Patents. CCIS (2022)
Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs. Proc. VLDB Endow. 15 (8) (2022)
Bowen Yu, Junping Du, Yingxia Shao
Web Page Content Extraction Based on Multi-feature Fusion. CoRR (2022)
Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs. CoRR (2022)
Bowen Yu, Yingxia Shao, Ang Li
Profiling and Evolution of Intellectual Property. CoRR (2022)
Suyu Ouyang, Yingxia Shao, Junping Du, Ang Li
Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU. CoRR (2022)
Yuxin Liu, Yawen Li, Yingxia Shao, Zeli Guan
Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property. CCIS (2022)
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui
Diffusion Models: A Comprehensive Survey of Methods and Applications. CoRR (2022)
Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen
Distributed Graph Neural Network Training: A Survey. CoRR (2022)
Runze Fang, Junping Du, Yingxia Shao, Zeli Guan
A Relational Triple Extraction Method Based on Feature Reasoning for Technological Patents. CoRR (2022)
Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. CoRR (2022)
Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao
SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks. Proc. VLDB Endow. 15 (9) (2022)
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. KDD (2022)
Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. SIGIR (2022)
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. CoRR (2022)
Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin
Efficient Graph Neural Network Inference at Large Scale. CoRR (2022)
Suyu Ouyang, Yingxia Shao, Ang Li
Retrieval of Scientific and Technological Resources for Experts and Scholars. CoRR (2022)
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. SIGIR (2022)
Zheng Liu, Yingxia Shao
RetroMAE: Pre-training Retrieval-oriented Transformers via Masked Auto-Encoder. CoRR (2022)
Chengjie Ma, Junping Du, Yingxia Shao, Ang Li, Zeli Guan
A Rare Topic Discovery Model for Short Texts Based on Co-occurrence word Network. CoRR (2022)
Yuhui Wang, Junping Du, Yingxia Shao
An Intellectual Property Entity Recognition Method Based on Transformer and Technological Word Information. CoRR (2022)
Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang
CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie
Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. KDD (2022)
Xingchen Liu, Yawen Li, Yingxia Shao, Ang Li, Jian Liang
A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT. CoRR (2022)
Yingxia Shao, Shiyue Huang, Yawen Li, Xupeng Miao, Bin Cui, Lei Chen
Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs. VLDB J. 30 (5) (2021)
Zeyu Liang, Junping Du, Yingxia Shao, Houye Ji
Gated Graph Neural Attention Networks for abstractive summarization. Neurocomputing 431 (2021)
Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang
DeGNN: Improving Graph Neural Networks with Graph Decomposition. KDD (2021)
Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui
Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning. SIGMOD Conference (2021)
Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung
Heterogeneous Hypergraph Embedding for Graph Classification. WSDM (2021)
Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. ICDE (2021)
Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce. SIGMOD Conference (2021)
Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
Search-oriented Differentiable Product Quantization. CoRR (2021)
Xiaomeng Chen, Yingxia Shao, Zhe Xue, Ziqiang Yu
Multi-Modal COVID-19 Discovery With Collaborative Federated Learning. CCIS (2021)
Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
Self-Supervised Graph Co-Training for Session-based Recommendation. CIKM (2021)
Yingxia Shao, Xupeng Li, Yiru Chen, Lele Yu, Bin Cui
Sys-TM: A Fast and General Topic Modeling System. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Yongqiang Ma, Yingxia Shao, Zhe Xue, Ziqiang Yu
Urban Fatigue Driving Prediction With Federated Learning. CCIS (2021)
Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
Matching-oriented Embedding Quantization For Ad-hoc Retrieval. EMNLP (1) (2021)
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie
Training Microsoft News Recommenders with Pretrained Language Models in the Loop. CoRR (2021)
Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang
CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract). ICDE (2021)
Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui
Efficient Diversity-Driven Ensemble for Deep Neural Networks. CoRR (2021)
Yingxia Shao, Hailin Jiang, Hongli Zhao
Radio resource management algorithm for urban rail transit communication system based on Stackelberg game. VTC Spring (2021)
Jiaxu Liu, Yingxia Shao, Sen Su
Multiple Local Community Detection via High-Quality Seed Identification over Both Static and Dynamic Networks. Data Sci. Eng. 6 (3) (2021)
Zeli Guan, Yawen Li, Zhe Xue, Yuxin Liu, Hongrui Gao, Yingxia Shao
Federated Graph Neural Network for Cross-graph Node Classification. CCIS (2021)
Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui
Self-Supervised Graph Co-Training for Session-based Recommendation. CoRR (2021)
Yingxia Shao, Yanyan Shen, Bin Cui, Jeffrey Xu Yu
DASFAA 20202 Special Issue Editorial. Data Sci. Eng. 5 (4) (2020)
Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou
Decentralized Embedding Framework for Large-Scale Networks. DASFAA (3) (2020)
Jiawei Jiang, Fangcheng Fu, Tong Yang, Yingxia Shao, Bin Cui
SKCompress: compressing sparse and nonuniform gradient in distributed machine learning. VLDB J. 29 (5) (2020)
Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui
Efficient Diversity-Driven Ensemble for Deep Neural Networks. ICDE (2020)
Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung
Heterogeneous Hypergraph Embedding for Graph Classification. CoRR (2020)
Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui
Efficient Automatic CASH via Rising Bandits. CoRR (2020)
Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. CoRR (2020)
Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui
Reliable Data Distillation on Graph Convolutional Network. SIGMOD Conference (2020)
Jiaxu Liu, Yingxia Shao, Sen Su
Multiple Local Community Detection via High-Quality Seed Identification. APWeb/WAIM (1) (2020)
Yingxia Shao, Shiyue Huang, Xupeng Miao, Bin Cui, Lei Chen
Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs. SIGMOD Conference (2020)
Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui
Snapshot boosting: a fast ensemble framework for deep neural networks. Sci. China Inf. Sci. 63 (1) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yingxia Shao