Yingxia Shao

According to our database, Yingxia Shao authored at least 117 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distributed Graph Neural Network Training: A Survey.

Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen

ACM Comput. Surv., August, 2024

Federated learning for supervised cross-modal retrieval.

Ang Li, Yawen Li, Yingxia Shao

World Wide Web (WWW), July, 2024

How good are machine learning clouds? Benchmarking two snapshots over 5 years.

Jiawei Jiang, Yi Wei, Yu Liu, Wentao Wu, Chuang Hu, Zhigao Zheng, Ziyi Zhang, Yingxia Shao, Ce Zhang

VLDB J., May, 2024

DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning.

Zhiyuan Li, Xun Jian, Yue Wang, Yingxia Shao, Lei Chen

Proc. VLDB Endow., February, 2024

ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs.

Shihong Gao, Yiming Li, Yanyan Shen, Yingxia Shao, Lei Chen

Proc. VLDB Endow., January, 2024

SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement.

Shihong Gao, Yiming Li, Xin Zhang, Yanyan Shen, Yingxia Shao, Lei Chen

Proc. ACM Manag. Data, 2024

Making Text Embedders Few-Shot Learners.

Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Yingxia Shao, Defu Lian, Zheng Liu

CoRR, 2024

DELIA: Diversity-Enhanced Learning for Instruction Adaptation in Large Language Models.

Yuanhao Zeng, Fei Ren, Xinpeng Zhou, Yihang Wang, Yingxia Shao

CoRR, 2024

Adversarial Contrastive Learning Based Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation.

Rui Wang, Mengshi Qi, Yingxia Shao, Anfu Zhou, Huadong Ma

CoRR, 2024

SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement.

Chaofan Li, Yingxia Shao, Zheng Liu

CoRR, 2024

ChatBI: Towards Natural Language to Complex Business Intelligence SQL.

Jinqing Lian, Xinyi Liu, Yingxia Shao, Yang Dong, Ming Wang, Zhang Wei, Tianqi Wan, Ming Dong, Hailin Yan

CoRR, 2024

Token-Efficient Leverage Learning in Large Language Models.

Yuanhao Zeng, Min Wang, Yihang Wang, Yingxia Shao

CoRR, 2024

LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model.

Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie

CoRR, 2024

Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering.

Duokang Wang, Linmei Hu, Rui Hao, Yingxia Shao, Xin Lv, Liqiang Nie, Juanzi Li

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training.

Xizhi Gu, Hongzheng Li, Shihong Gao, Xinyan Zhang, Lei Chen, Yingxia Shao

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

NovaChart: A Large-scale Dataset towards Chart Understanding and Generation of Multimodal Large Language Models.

Linmei Hu, Duokang Wang, Yiming Pan, Jifan Yu, Yingxia Shao, Chong Feng, Liqiang Nie

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.

Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Distribution-Aware Diversification for Personalized Re-ranking in Recommendation.

Zihong Wang, Yingxia Shao, Jiyuan He, Jinbao Liu

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval.

Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model.

Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Experimental Analysis of Large-scale Learnable Vector Storage Compression.

Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui

Proc. VLDB Endow., December, 2023

Multi-View Scholar Clustering With Dynamic Interest Tracking.

Ang Li, Yawen Li, Yingxia Shao, Bingyan Liu

IEEE Trans. Knowl. Data Eng., September, 2023

P²CG: a privacy preserving collaborative graph neural network training framework.

Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui

VLDB J., July, 2023

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture.

Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang

IEEE Trans. Knowl. Data Eng., 2023

ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems.

Jinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui

Proc. VLDB Endow., 2023

DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU.

Xin Zhang, Yanyan Shen, Yingxia Shao, Lei Chen

Proc. ACM Manag. Data, 2023

Making Large Language Models A Better Foundation For Dense Retrieval.

Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao

CoRR, 2023

Relation Extraction Model Based on Semantic Enhancement Mechanism.

Peiyu Liu, Junping Du, Yingxia Shao, Zeli Guan

CoRR, 2023

Dynamic Fair Federated Learning Based on Reinforcement Learning.

Weikang Chen, Junping Du, Yingxia Shao, Jia Wang, Yangxi Zhou

CoRR, 2023

Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion.

Runze Fang, Yawen Li, Yingxia Shao, Zeli Guan, Zhe Xue

CoRR, 2023

LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval.

Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract).

Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Diversity-aware Deep Ranking Network for Recommendation.

Zihong Wang, Yingxia Shao, Jiyuan He, Jinbao Liu, Shitao Xiao, Tao Feng, Ming Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering.

Ziwang Zhao, Linmei Hu, Hanyu Zhao, Yingxia Shao, Yequan Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models.

Zheng Liu, Shitao Xiao, Yingxia Shao, Zhao Cao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection.

Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao, Liqiang Nie

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs.

Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang

IEEE Trans. Knowl. Data Eng., 2022

SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks.

Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao

Proc. VLDB Endow., 2022

An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs.

Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen

Proc. VLDB Endow., 2022

Efficient Graph Neural Network Inference at Large Scale.

Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

CoRR, 2022

Diffusion Models: A Comprehensive Survey of Methods and Applications.

Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui

CoRR, 2022

A Rare Topic Discovery Model for Short Texts Based on Co-occurrence word Network.

Chengjie Ma, Junping Du, Yingxia Shao, Ang Li, Zeli Guan

CoRR, 2022

Social Network Community Detection Based on Textual Content Similarity and Sentimental Tendency.

Jie Gao, Junping Du, Yingxia Shao, Ang Li, Zeli Guan

CoRR, 2022

A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT.

Xingchen Liu, Yawen Li, Yingxia Shao, Ang Li, Jian Liang

CoRR, 2022

Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon.

Jia Wang, Junping Du, Yingxia Shao, Ang Li

CoRR, 2022

RetroMAE: Pre-training Retrieval-oriented Transformers via Masked Auto-Encoder.

Zheng Liu, Yingxia Shao

CoRR, 2022

Research on Intellectual Property Resource Profile and Evolution Law.

Yuhui Wang, Yingxia Shao, Ang Li

CoRR, 2022

Retrieval of Scientific and Technological Resources for Experts and Scholars.

Suyu Ouyang, Yingxia Shao, Ang Li

CoRR, 2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.

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

CoRR, 2022

Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU.

Suyu Ouyang, Yingxia Shao, Junping Du, Ang Li

CoRR, 2022

An Intellectual Property Entity Recognition Method Based on Transformer and Technological Word Information.

Yuhui Wang, Junping Du, Yingxia Shao

CoRR, 2022

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search.

Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie

CoRR, 2022

LECF: recommendation via learnable edge collaborative filtering.

Shitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui

Sci. China Inf. Sci., 2022

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.

Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network.

Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.

Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search.

Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Training Large-Scale News Recommenders with Pretrained Language Models in the Loop.

Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract).

Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder.

Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Scalable Graph Sampling on GPUs with Compressed Graph.

Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Property.

Yuxin Liu, Yawen Li, Yingxia Shao, Zeli Guan

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

A Relational Triple Extraction Method Based on Feature Reasoning for Technological Patents.

Runze Fang, Junping Du, Yingxia Shao, Zeli Guan

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021

Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs.

Yingxia Shao, Shiyue Huang, Yawen Li, Xupeng Miao, Bin Cui, Lei Chen

VLDB J., 2021

Sys-TM: A Fast and General Topic Modeling System.

Yingxia Shao, Xupeng Li, Yiru Chen, Lele Yu, Bin Cui

IEEE Trans. Knowl. Data Eng., 2021

Gated Graph Neural Attention Networks for abstractive summarization.

Zeyu Liang, Junping Du, Yingxia Shao, Houye Ji

Neurocomputing, 2021

Multiple Local Community Detection via High-Quality Seed Identification over Both Static and Dynamic Networks.

Jiaxu Liu, Yingxia Shao, Sen Su

Data Sci. Eng., 2021

Search-oriented Differentiable Product Quantization.

Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie

CoRR, 2021

Training Microsoft News Recommenders with Pretrained Language Models in the Loop.

Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie

CoRR, 2021

Heterogeneous Hypergraph Embedding for Graph Classification.

Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung

Proceedings of the WSDM '21, 2021

Radio resource management algorithm for urban rail transit communication system based on Stackelberg game.

Yingxia Shao, Hailin Jiang, Hongli Zhao

Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce.

Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

VF²Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning.

Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

DeGNN: Improving Graph Neural Networks with Graph Decomposition.

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling.

Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract).

Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Matching-oriented Embedding Quantization For Ad-hoc Retrieval.

Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Self-Supervised Graph Co-Training for Session-based Recommendation.

Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Urban Fatigue Driving Prediction With Federated Learning.

Yongqiang Ma, Yingxia Shao, Zhe Xue, Ziqiang Yu

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

Federated Graph Neural Network for Cross-graph Node Classification.

Zeli Guan, Yawen Li, Zhe Xue, Yuxin Liu, Hongrui Gao, Yingxia Shao

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

Multi-Modal COVID-19 Discovery With Collaborative Federated Learning.

Xiaomeng Chen, Yingxia Shao, Zhe Xue, Ziqiang Yu

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

2020

SKCompress: compressing sparse and nonuniform gradient in distributed machine learning.

Jiawei Jiang, Fangcheng Fu, Tong Yang, Yingxia Shao, Bin Cui

VLDB J., 2020

DASFAA 20202 Special Issue Editorial.

Yingxia Shao, Yanyan Shen, Bin Cui, Jeffrey Xu Yu

Data Sci. Eng., 2020

Snapshot boosting: a fast ensemble framework for deep neural networks.

Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui

Sci. China Inf. Sci., 2020

Reliable Data Distillation on Graph Convolutional Network.

Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui

Proceedings of the 2020 International Conference on Management of Data, 2020

Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs.

Yingxia Shao, Shiyue Huang, Xupeng Miao, Bin Cui, Lei Chen

Proceedings of the 2020 International Conference on Management of Data, 2020

Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript.

Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui

Proceedings of the 37th International Conference on Machine Learning, 2020

Efficient Diversity-Driven Ensemble for Deep Neural Networks.

Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Decentralized Embedding Framework for Large-Scale Networks.

Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou

Proceedings of the Database Systems for Advanced Applications, 2020

Densely-Connected Transformer with Co-attentive Information for Matching Text Sequences.

Minxu Zhang, Yingxia Shao, Kai Lei, Yuesheng Zhu, Bin Cui

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Multiple Local Community Detection via High-Quality Seed Identification.

Jiaxu Liu, Yingxia Shao, Sen Su

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Efficient Automatic CASH via Rising Bandits.

Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Large-scale Graph Analysis: System, Algorithm and Optimization

Yingxia Shao, Bin Cui, Lei Chen

Springer, ISBN: 978-981-15-3927-5, 2020

2019

An Experimental Evaluation of Large Scale GBDT Systems.

Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui

Proc. VLDB Endow., 2019

Fast De-anonymization of Social Networks with Structural Information.

Yingxia Shao, Jialin Liu, Shuyang Shi, Yuemei Zhang, Bin Cui

Data Sci. Eng., 2019

CNN Compression-Recovery Framework via Rank Allocation Decomposition With Knowledge Transfer.

Zhonghong Ou, Yunfeng Liu, Huihui Kong, Meina Song, Yingxia Shao

IEEE Access, 2019

PS2: Parameter Server on Spark.

Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao

Proceedings of the 2019 International Conference on Management of Data, 2019

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding.

Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Sparse Gradient Compression for Distributed SGD.

Haobo Sun, Yingxia Shao, Jiawei Jiang, Bin Cui, Kai Lei, Yu Xu, Jiang Wang

Proceedings of the Database Systems for Advanced Applications, 2019

Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model.

Yushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

FeatureBand: A Feature Selection Method by Combining Early Stopping and Genetic Local Search.

Huanran Xue, Jiawei Jiang, Yingxia Shao, Bin Cui

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

Towards Reliable Learning for High Stakes Applications.

Jinyang Gao, Junjie Yao, Yingxia Shao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

GLM+: An Efficient System for Generalized Linear Models.

Lele Yu, Lingyu Wang, Yingxia Shao, Long Guo, Bin Cui

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

CUTE: Querying Knowledge Graphs by Tabular Examples.

Zichen Wang, Tian Li, Yingxia Shao, Bin Cui

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017

Fast Parallel Path Concatenation for Graph Extraction.

Yingxia Shao, Kai Lei, Lei Chen, Zi Huang, Bin Cui, Zhongyi Liu, Yunhai Tong, Jin Xu

IEEE Trans. Knowl. Data Eng., 2017

An Experimental Evaluation of SimRank-based Similarity Search Algorithms.

Zhipeng Zhang, Yingxia Shao, Bin Cui, Ce Zhang

Proc. VLDB Endow., 2017

LDA*: A Robust and Large-scale Topic Modeling System.

Lele Yu, Bin Cui, Ce Zhang, Yingxia Shao

Proc. VLDB Endow., 2017

2016

Tornado: A System For Real-Time Iterative Analysis Over Evolving Data.

Xiaogang Shi, Bin Cui, Yingxia Shao, Yunhai Tong

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

Heterogeneous Environment Aware Streaming Graph Partitioning.

Ning Xu, Bin Cui, Lei Chen, Zi Huang, Yingxia Shao

IEEE Trans. Knowl. Data Eng., 2015

PAGE: A Partition Aware Engine for Parallel Graph Computation.

Yingxia Shao, Bin Cui, Lin Ma

IEEE Trans. Knowl. Data Eng., 2015

An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs.

Yingxia Shao, Bin Cui, Lei Chen, Mingming Liu, Xing Xie

Proc. VLDB Endow., 2015

Exploiting Matrix Dependency for Efficient Distributed Matrix Computation.

Lele Yu, Yingxia Shao, Bin Cui

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation.

Hongzhi Yin, Xiaofang Zhou, Yingxia Shao, Hao Wang, Shazia Wasim Sadiq

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Parallel subgraph listing in a large-scale graph.

Yingxia Shao, Bin Cui, Lei Chen, Lin Ma, Junjie Yao, Ning Xu

Proceedings of the International Conference on Management of Data, 2014

Efficient cohesive subgraphs detection in parallel.

Yingxia Shao, Lei Chen, Bin Cui

Proceedings of the International Conference on Management of Data, 2014

2013

bCATE: A Balanced Contention-Aware Transaction Execution Model for Highly Concurrent OLTP Systems.

Xiaogang Shi, Yanfei Lv, Yingxia Shao, Bin Cui

Proceedings of the Web-Age Information Management - 14th International Conference, 2013

PAGE: a partition aware graph computation engine.

Yingxia Shao, Junjie Yao, Bin Cui, Lin Ma

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013