iDMA-NEU

已发表的论文（CCF-A）

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Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations
Heng Rao, Yu Gu, Jason Zipeng Zhang, Ge Yu, Yang Cao, Minghan Chen
AAAI  ·  2025
Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph
Qiushi Xiong, Zhipeng Xu, Zhenghao Liu, Mengjia Wang, Zulong Chen, Yue Sun, Yu Gu, Xiaohua Li, Ge Yu
SIGIR  ·  2025
SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training
Zhen Song, Yu Gu, Tianyi Li, Yushuai Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu
SIGMOD  ·  2025
NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters
Chunyu Cao, Xin Ai, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, …, Mingyi Cao, Chaoyi Chen, Yingyou Wen, Yu Gu, Ge Yu
SIGMOD  ·  2025
NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism
Zhenbo Fu, Xin Ai, Qiange Wang, Yanfeng Zhang, Shizhan Lu, …, Hao Yuan, Zhewei Wei, Yu Gu, Yingyou Wen, Ge Yu
Proc. VLDB Endow.  ·  2025
Building a Coding Assistant via the Retrieval-Augmented Language Model
Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang, Yukun Yan, Yukai Fu, Yu Gu, Ge Yu
ACM Trans. Inf. Syst.  ·  2025
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
Mingyan Wu, Zhenghao Liu, Yukun Yan, Xinze Li, Shi Yu, Zheni Zeng, Yu Gu, Ge Yu
ACL  ·  2025
Illicit Social Accounts? Anti-Money Laundering for Transactional Blockchains
Jie Song, Sijia Zhang, Pengyi Zhang, Junghoon Park, Yu Gu, Ge Yu
IEEE Trans. Inf. Forensics Secur.  ·  2025
FELEMN: Toward Efficient Feature-Level Machine Unlearning for Exact Privacy Protection
Zhigang Wang, Yizhen Yu, Mingxin Li, Jian Lou, Ning Wang, Yu Gu, Shen Su, Yuan Liu, Hui Jiang, Zhihong Tian
IEEE Trans. Knowl. Data Eng.  ·  2025
Lightweight Graph Partitioning Enhanced by Implicit Knowledge
Zhigang Wang, Gongtai Sun, Ning Wang, Lixin Gao, Chuanfei Xu, Yu Gu, Ge Yu, Zhihong Tian
IEEE Transactions on Computers  ·  2025
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu
ACL  ·  2024
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments
Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu
Proc. VLDB Endow.  ·  2024
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training
Zhen Song, Yu Gu, Qing Sun, Tianyi Li, Yanfeng Zhang, Yushuai Li, Christian S. Jensen, Ge Yu
Proc. VLDB Endow.  ·  2024
Modeling User Viewing Flow using Large Language Models for Article Recommendation
Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu
WWW  ·  2024
Label Constrained Reachability Queries on Time Dependent Graphs
Yishu Wang, Jinlong Chu, Ye Yuan, Yu Gu, Hangxu Ji, Hao Zhang
ICDE  ·  2024
Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data
Na Guo, Yaqi Wang, Wenli Sun, Yu Gu, Jianzhong Qi, Zhenghao Liu, Xiufeng Xia, Ge Yu
ICDE  ·  2024
LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control
Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu
ICDE  ·  2024
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu
IEEE Trans. Knowl. Data Eng.  ·  2024
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective
Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu
Proc. VLDB Endow.  ·  2024
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism
Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Chaoyi Chen, Yu Gu, Ge Yu
VLDB  ·  2024
Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification
Yumeng Song, Yu Gu, Tianyi Li, Yushuai Li, Christian S. Jensen, Ge Yu
VLDB  ·  2024
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling
Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu
SIGMOD  ·  2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams
Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu
Proc. VLDB Endow.  ·  2023
PlanRanker: Towards Personalized Ranking of Train Transfer Plans
Jia Xu, Wanjie Tao, Zulong Chen, Jin Huang, Huihui Liu, Hong Wen, Shenghua Ni, Qun Dai, Yu Gu
KDD  ·  2023
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data
Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu
ACL  ·  2023
Efficient Subhypergraph Matching Based on Hyperedge Features
Yuhang Su, Yu Gu, Zhigang Wang, Ying Zhang, Jianbin Qin, Ge Yu
IEEE Trans. Knowl. Data Eng.  ·  2023
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract)
Yang Song, Yu Gu, Rui Zhang, Ge Yu
ICDE  ·  2023
PrivNUD: Effective Range Query Processing under Local Differential Privacy
Ning Wang, Yaohua Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peng Tang, Yu Gu, Ge Yu
ICDE  ·  2023
FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning
Zhigang Wang, Yilei Tu, Ning Wang, Lixin Gao, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
IEEE Trans. Parallel Distributed Syst.  ·  2023
Distributed Hypergraph Processing Using Intersection Graphs
Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, Rui Zhang
IEEE Trans. Knowl. Data Eng.  ·  2022
EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression
Zhen Song, Yu Gu, Jianzhong Qi, Zhigang Wang, Ge Yu
ICDE  ·  2022
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances
Yang Song, Yu Gu, Rui Zhang, Ge Yu
ICDE  ·  2022
HGraph: I/O-efficient Distributed and Iterative Graph Computing by Hybrid Pushing/Pulling
Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu, Jeffrey Xu Yu, Zhiqiang Wei
IEEE Trans. Knowl. Data Eng.  ·  2021
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index
Yang Song, Yu Gu, Rui Zhang, Ge Yu
ICDE  ·  2021
Efficient Processing of Moving Collective Spatial Keyword Queries
Hongfei Xu, Yu Gu, Yu Sun, Jianzhong Qi, Ge Yu, Rui Zhang
VLDB J  ·  2020
Order-Sensitive Imputation for Clustered Missing Values
Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu
IEEE Trans. Knowl. Data Eng.  ·  2019
Order-Sensitive Imputation for Clustered Missing Values (Extended Abstract)
Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu
ICDE  ·  2019
Order-Sensitive Imputation for Clustered Missing Values
Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu
IEEE Trans. Knowl. Data Eng.  ·  2019
Approximate Order-Sensitive k-NN Queries over Correlated High-Dimensional Data
Yu Gu, Yandan Guo, Yang Song, Xiangmin Zhou, Ge Yu
IEEE Trans. Knowl. Data Eng.  ·  2018
A Fault-Tolerant Framework for Asynchronous Iterative Computations in Cloud Environments
Zhigang Wang, Lixin Gao, Yu Gu, Yubin Bao, Ge Yu
IEEE Trans. Parallel Distributed Syst.  ·  2018
A GPU Accelerated Update Efficient Index for kNN Queries in Road Networks
Chuanwen Li, Yu Gu, Jianzhong Qi, Jiayuan He, Qingxu Deng
ICDE  ·  2018
The Moving k Diversified Nearest Neighbor Query
Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang
ICDE  ·  2017
PrivSuper: a Superset-First Approach to Frequent Itemset Mining under Differential Privacy
Ning Wang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Yu Gu, Ge Yu
ICDE  ·  2017
The Moving k Diversified Nearest Neighbor Query
Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang
ICDE  ·  2016
Hybrid Pulling/Pushing for I/O-Efficient Distributed and Iterative Graph Computing
Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu, Jeffrey Xu Yu
SIGMOD  ·  2016
Efficient Similarity Join Based on Earth Mover’s Distance Using MapReduce
Jia Xu, Bin Lei, Yu Gu, Marianne Winslett, Ge Yu, Zhenjie Zhang
ICDE  ·  2016
INSQ: An Influential Neighbor Set Based Moving kNN Query Processing System
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Qingxu Deng
ICDE  ·  2016
INSQ: An influential neighbor set based moving kNN query processing system
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Qingxu Deng
ICDE  ·  2016
Efficient Similarity Join Based on Earth Mover’s Distance Using MapReduce
Jia Xu, Bin Lei, Yu Gu, Marianne Winslett, Ge Yu, Zhenjie Zhang
IEEE Trans. Knowl. Data Eng.  ·  2015
Processing Moving kNN Queries Using Influential Neighbor Sets
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Wang Yi
Proc. VLDB Endow.  ·  2014
Effective and Efficient Clustering Methods for Correlated Probabilistic Graphs
Yu Gu, Chunpeng Gao, Gao Cong, Ge Yu
IEEE Trans. Knowl. Data Eng.  ·  2014
Interval Reverse Nearest Neighbor Queries on Uncertain Data with Markov Correlations
Chuanfei Xu, Yu Gu, Lei Chen, Jianzhong Qiao, Ge Yu
ICDE  ·  2013
Group Location Selection Queries over Uncertain Objects
Chuanfei Xu, Yu Gu, Roger Zimmermann, Shukuan Lin, Ge Yu
IEEE Trans. Knowl. Data Eng.  ·  2013
EUDEMON: A System for Online Video Frame Copy Detection by Earth Mover's Distance
Jia Xu, Qiushi Bai, Yu Gu, Anthony K. H. Tung, Guoren Wang, Ge Yu, Zhenjie Zhang
ICDE  ·  2012