Ge Yu

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 265

Top Venues

CoRR

ICDE

Frontiers Comput. Sci.

IEEE Trans. Knowl. Data Eng.

Publications

Zhigang Wang, Hangyu Yang, Ning Wang, Chuanfei Xu, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction. CoRR (2024)
Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair. ACL (Findings) (2024)
Jie Song, Peimeng Zhu, Yanfeng Zhang, Ge Yu
CloudSimPer: Simulating Geo-Distributed Datacenters Powered by Renewable Energy Mix. IEEE Trans. Parallel Distributed Syst. 35 (4) (2024)
Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu
LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control. ICDE (2024)
Hengyu Liu, Tiancheng Zhang, Fan Li, Minghe Yu, Ge Yu
A probabilistic generative model for tracking multi-knowledge concept mastery probability. Frontiers Comput. Sci. 18 (3) (2024)
Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu
Fast Iterative Graph Computing with Updated Neighbor States. CoRR (2024)
Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Zhipeng Xu, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Chenyan Xiong, Ge Yu
Cleaner Pretraining Corpus Curation with Neural Web Scraping. CoRR (2024)
Zhigang Wang, Xu Zhang, Ning Wang, Chuanfei Xu, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control. CoRR (2024)
Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu
Modeling User Viewing Flow using Large Language Models for Article Recommendation. WWW (Companion Volume) (2024)
Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yukun Yan, Shuo Wang, Ge Yu
Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression. CoRR (2024)
Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective. Proc. VLDB Endow. 17 (6) (2024)
Shufeng Gong, Chao Tian, Qiang Yin, Zhengdong Wang, Song Yu, Yanfeng Zhang, Wenyuan Yu, Liang Geng, Chong Fu, Ge Yu, Jingren Zhou
Ingress: an automated incremental graph processing system. VLDB J. 33 (3) (2024)
Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu
Fast Iterative Graph Computing with Updated Neighbor States. ICDE (2024)
Yuqing Lan, Zhenghao Liu, Yu Gu, Xiaoyuan Yi, Xiaohua Li, Liner Yang, Ge Yu
Multi-Evidence based Fact Verification via A Confidential Graph Neural Network. CoRR (2024)
Ning Wang, Yifei Liu, Zhigang Wang, Zhiqiang Wei, Ruichun Tang, Peng Tang, Ge Yu
Locally differentially private frequency distribution estimation with relative error optimization. Frontiers Comput. Sci. 18 (5) (2024)
Zhipeng Xu, Zhenghao Liu, Yibin Liu, Chenyan Xiong, Yukun Yan, Shuo Wang, Shi Yu, Zhiyuan Liu, Ge Yu
ActiveRAG: Revealing the Treasures of Knowledge via Active Learning. CoRR (2024)
Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments. Proc. VLDB Endow. 17 (8) (2024)
Shufeng Gong, Song Yu, Yanfeng Zhang, Ge Yu
Accelerating Incremental Graph Processing by Layering Graph. ACM TUR-C (2023)
Zhigang Wang, Zichao Yang, Ning Wang, Yujie Du, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
Lightweight Streaming Graph Partitioning by Fully Utilizing Knowledge from Local View. ICDCS (2023)
Yijia Zhang, Tiancheng Zhang, Peng Xie, Minghe Yu, Ge Yu
BEM-SM: A BERT-Encoder Model with Symmetry Supervision Module for Solving Math Word Problem. Symmetry 15 (4) (2023)
Yingjie Liu, Tiancheng Zhang, Xuecen Wang, Ge Yu, Tao Li
New development of cognitive diagnosis models. Frontiers Comput. Sci. 17 (1) (2023)
Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments. CoRR (2023)
Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph. ICDE (2023)
Hanyu Mao, Tiezheng Nie, Hao Sun, Derong Shen, Ge Yu
A Survey on Cross-Chain Technology: Challenges, Development, and Prospect. IEEE Access 11 (2023)
Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval. ICLR (2023)
Zhigang Wang, Ning Wang, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
A lock-free approach to parallelizing personalized PageRank computations on GPU. Frontiers Comput. Sci. 17 (1) (2023)
Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. CoRR (2023)
Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu
INTERVENOR: Prompt the Coding Ability of Large Language Models with the Interactive Chain of Repairing. CoRR (2023)
Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. CoRR (2023)
Ning Wang, Yaohua Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peng Tang, Yu Gu, Ge Yu
PrivNUD: Effective Range Query Processing under Local Differential Privacy. ICDE (2023)
Sisi Zhang, Lun Du, Fan Li, Ge Yu, Mengyuan Chen
Propagate Deeper and Adaptive Graph Convolutional Networks. Tiny Papers @ ICLR (2023)
Yun Zhang, Minghe Yu, Jintong Sun, Tiancheng Zhang, Ge Yu
MG-CR: Factor Memory Network and Graph Neural Network Based Personalized Course Recommendation. DASFAA (2) (2023)
Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu
Modeling User Viewing Flow using Large Language Models for Article Recommendation. CoRR (2023)
Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective. CoRR (2023)
Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. ACL (Findings) (2023)
Yang Song, Yu Gu, Rui Zhang, Ge Yu
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract). ICDE (2023)
Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu
Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. CoRR (2023)
Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. Proc. VLDB Endow. 17 (3) (2023)
Zhuojin Liu, Shufeng Gong, Yuxuan Su, Changyi Wan, Yanfeng Zhang, Ge Yu
Improving Density Peaks Clustering through GPU acceleration. Future Gener. Comput. Syst. 141 (2023)
Jie Song, Xingchen Zhao, Chaopeng Guo, Yu Gu, Ge Yu
Towards an Energy Complexity Model for Distributed Data Processing Algorithms. IEEE Trans. Big Data 9 (6) (2023)
Yuhang Su, Yu Gu, Zhigang Wang, Ying Zhang, Jianbin Qin, Ge Yu
Efficient Subhypergraph Matching Based on Hyperedge Features. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Wenzhou Dou, Derong Shen, Xiangmin Zhou, Tiezheng Nie, Yue Kou, Hang Cui, Ge Yu
Soft Target-Enhanced Matching Framework for Deep Entity Matching. AAAI (2023)
Zhigang Wang, Yilei Tu, Ning Wang, Lixin Gao, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning. IEEE Trans. Parallel Distributed Syst. 34 (2) (2023)
Longcan Wu, Daling Wang, Shi Feng, Xiangmin Zhou, Yifei Zhang, Ge Yu
Graph neural network for recommendation in complex and quaternion spaces. World Wide Web (WWW) 26 (6) (2023)
Yougui Ren, Xiaomei Yang, Zhihua Wang, Ge Yu, Yueming Liu, Xiaoliang Liu, Dan Meng, Qingyang Zhang, Guo Yu
Segment Anything Model (SAM) Assisted Remote Sensing Supervision for Mariculture - Using Liaoning Province, China as an Example. Remote. Sens. 15 (24) (2023)
Jie Song, Pengyi Zhang, Qiang Qu, Yongjie Bai, Yu Gu, Ge Yu
Why blockchain needs graph: A survey on studies, scenarios, and solutions. J. Parallel Distributed Comput. 180 (2023)
Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. ICDE (2023)
Xinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu
Effective Graph Kernels for Evolving Functional Brain Networks. WSDM (2023)
Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling. Proc. ACM Manag. Data 1 (4) (2023)
Qian Li, Daling Wang, Shi Feng, Kaisong Song, Yifei Zhang, Ge Yu
OERL: Enhanced Representation Learning via Open Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph. CoRR (2023)
Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CIKM (2023)
Hengyu Liu, Tiancheng Zhang, Fan Li, Minghe Yu, Ge Yu
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability. CoRR (2023)
Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CoRR (2023)
Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou
RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing. Proc. VLDB Endow. 17 (3) (2023)
Qian Li, Daling Wang, Shi Feng, Kaisong Song, Yifei Zhang, Ge Yu
Variational autoencoder densified graph attention for fusing synonymous entities: Model and protocol. Knowl. Based Syst. 259 (2023)
Ning Wang, Wei Zheng, Zhigang Wang, Zhiqiang Wei, Yu Gu, Peng Tang, Ge Yu
Collecting and analyzing key-value data under shuffled differential privacy. Frontiers Comput. Sci. 17 (2) (2022)
Yuhang Su, Yu Gu, Yang Song, Ge Yu
Accelerating Hypergraph Motif Counting Based on Hyperedge Relations. APWeb/WAIM (2) (2022)
Yang Song, Yu Gu, Rui Zhang, Ge Yu
BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu
Parallel Skyline Processing Using Space Pruning on GPU. CIKM (2022)
Di Wei, Yu Gu, Yumeng Song, Zhen Song, Fangfang Li, Ge Yu
IncreGNN: Incremental Graph Neural Network Learning by Considering Node and Parameter Importance. DASFAA (1) (2022)
Shaopeng Yang, Tiancheng Zhang, Siyuan Mao, Ge Yu, Yiming Sun
MAKT: A Knowledge Tracing Model Based on Meta Path and Attention Mechanism. CSSE (2022)
Yumeng Song, Yu Gu, Xiaohua Li, Chuanwen Li, Ge Yu
CSGNN: Improving Graph Neural Networks with Contrastive Semi-supervised Learning. DASFAA (1) (2022)
Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CIKM (2022)
Jiwen Ding, Zhuojin Liu, Yanfeng Zhang, Shufeng Gong, Ge Yu
LayerLSH: Rebuilding Locality-Sensitive Hashing Indices by Exploring Density of Hash Values. IEEE Access 10 (2022)
Yue Kou, Dong Li, Derong Shen, Tiezheng Nie, Ge Yu
Incremental User Identification Across Social Networks Based on User-Guider Similarity Index. J. Comput. Sci. Technol. 37 (5) (2022)
Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu
Multi-task Generative Adversarial Network for Missing Mobility Data Imputation. CIKM (2022)
Jie Song, Shengqiang Hu, Yubin Bao, Ge Yu
Compress Blocks or Not: Tradeoffs for Energy Consumption of a Big Data Processing System. IEEE Trans. Sustain. Comput. 7 (1) (2022)
Lisha Wu, Daling Wang, Shi Feng, Yifei Zhang, Ge Yu
KEP-Rec: A Knowledge Enhanced User-Item Relation Prediction Model for Personalized Recommendation. APWeb/WAIM (2) (2022)
Yu Hu, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu
Biomedical entity linking based on less labeled data. Frontiers Comput. Sci. 16 (3) (2022)
Zhen Song, Yu Gu, Zhigang Wang, Ge Yu
DRPS: efficient disk-resident parameter servers for distributed machine learning. Frontiers Comput. Sci. 16 (4) (2022)
Yun Zhang, Minghe Yu, Tiancheng Zhang, Ge Yu
Semantic enhanced Top-k similarity search on weighted HIN. Neural Comput. Appl. 34 (19) (2022)
Shumin Han, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu
An enhanced privacy-preserving record linkage approach for multiple databases. Clust. Comput. 25 (5) (2022)
Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, Xiaodong Zhang, Ge Yu
NeutronStar: Distributed GNN Training with Hybrid Dependency Management. SIGMOD Conference (2022)
Jie Song, Peimeng Zhu, Yanfeng Zhang, Ge Yu
Versatility or validity: A comprehensive review on simulation of Datacenters powered by Renewable Energy mix. Future Gener. Comput. Syst. 136 (2022)
Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CoRR (2022)
Wenzhou Dou, Derong Shen, Tiezheng Nie, Yue Kou, Chenchen Sun, Hang Cui, Ge Yu
Empowering Transformer with Hybrid Matching Knowledge for Entity Matching. DASFAA (3) (2022)
Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. CoRR (2022)
Zhen Song, Yu Gu, Jianzhong Qi, Zhigang Wang, Ge Yu
EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression. ICDE (2022)
Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, Rui Zhang
Distributed Hypergraph Processing Using Intersection Graphs. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Jingwen Bai, Tiezheng Nie, Derong Shen, Yue Kou, Ge Yu
Bi-Directional Neighborhood-Aware Network for Entity Alignment in Knowledge Graphs. WISA (2022)
Jinfeng Peng, Derong Shen, Nan Tang, Tieying Liu, Yue Kou, Tiezheng Nie, Hang Cui, Ge Yu
Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks. Proc. VLDB Endow. 16 (3) (2022)
Longcan Wu, Daling Wang, Shi Feng, Xiangmin Zhou, Yifei Zhang, Ge Yu
Graph Collaborative Filtering for Recommendation in Complex and Quaternion Spaces. WISE (2022)
Jie Song, Pengyi Zhang, Mohammed Alkubati, Yubin Bao, Ge Yu
Research advances on blockchain-as-a-service: architectures, applications and challenges. Digit. Commun. Networks 8 (4) (2022)
Jing Chen, Qiange Wang, Yu Gu, Chuanwen Li, Ge Yu
Unified-memory-based hybrid processing for partition-oriented subgraph matching on GPU. World Wide Web 25 (3) (2022)
Xue He, Tiancheng Zhang, Minghe Yu, Ge Yu, Yuhai Zhao
An Extensible Heterogeneous Network Embedding Framework for Knowledge Tracing. Int. J. Softw. Informatics 12 (4) (2022)
Longcan Wu, Daling Wang, Shi Feng, Kaisong Song, Yifei Zhang, Ge Yu
Collaborative Filtering for Recommendation in Geometric Algebra. DASFAA (2) (2022)
Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu
Missing POI Check-in Identification Using Generative Adversarial Networks. DASFAA (1) (2021)
Jia Xu, Qiuyun Li, Jing Liu, Pin Lv, Ge Yu
Leveraging Cognitive Diagnosis to Improve Peer Assessment in MOOCs. IEEE Access 9 (2021)
Minghe Yu, Chengliang Chai, Ge Yu
A Tree-Based Indexing Approach for Diverse Textual Similarity Search. IEEE Access 9 (2021)
Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu, Jeffrey Xu Yu, Zhiqiang Wei
HGraph: I/O-Efficient Distributed and Iterative Graph Computing by Hybrid Pushing/Pulling. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Meng-xiang Wang, Wang-Chien Lee, Tao-Yang Fu, Ge Yu
On Representation Learning for Road Networks. ACM Trans. Intell. Syst. Technol. 12 (1) (2021)
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu
SkyCell: A Space-Pruning Based Parallel Skyline Algorithm. CoRR (2021)
Shi Feng, Jia Wei, Daling Wang, Xiaocui Yang, Zhenfei Yang, Yifei Zhang, Ge Yu
SINN: A speaker influence aware neural network model for emotion detection in conversations. World Wide Web 24 (6) (2021)
Xiaoguang Li, Xin Zhang, Lixin Wang, Ge Yu
Offline Multi-Policy Gradient for Latent Mixture Environments. IEEE Access 9 (2021)
Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu
Attentional Memory Network with Correlation-based Embedding for time-aware POI recommendation. Knowl. Based Syst. 214 (2021)
Hui Cai, Tiancheng Zhang, Xianghui Sun, Minghe Yu, Ge Yu
Graph-Encoder and Multi-decoders Solution Framework with Multi-attention. WISA (2021)
Yu Hu, Tiezheng Nie, Derong Shen, Yue Kou, Ge Yu
An integrated pipeline model for biomedical entity alignment. Frontiers Comput. Sci. 15 (3) (2021)
Jie Song, Qiang He, Feifei Chen, Ye Yuan, Ge Yu
PoBery: Possibly-complete Big Data Queries with Probabilistic Data Placement and Scanning. Trans. Data Sci. 2 (3) (2021)

Ge Yu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ge Yu