Yu Gu

202 papers A* 20A 8B 3C 5Misc 4Journal 114Unranked 47
YearRankTypeTitle / Venue / Authors
2026 J jnl
Consensus and Computing Integration for Processing Transactional Graphs in Consortium Blockchain.
IEEE Trans. Knowl. Data Eng.
Pengyi Zhang, Pengxuan Ma, Chaopeng Guo, Yu Gu, Jie Song
2026 J jnl
Dimension Expansion for Learning Money Laundering Activities Hidden in Transaction Network.
IEEE Trans. Comput. Soc. Syst.
Jie Song, Sijia Zhang, Junghoon Park, Yu Gu, Ge Yu
2026 J jnl
Knowledge intensive agents.
AI Open
Zhenghao Liu, Pengcheng Huang, Zhipeng Xu, Xinze Li, Shuliang Liu, Chunyi Peng, Haidong Xin, Yukun Yan, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Yu Gu, Ge Yu
2026 — conf
LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation.
KDD (1)
Haidong Xin, Zhenghao Liu, Sen Mei, Yukun Yan, Shi Yu, Shuo Wang, Zulong Chen, Yu Gu, Ge Yu, Chenyan Xiong
2026 J jnl
Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains.
CoRR
Yuqi Xiong, Chunyi Peng, Zhipeng Xu, Zhenghao Liu, Zulong Chen, Yukun Yan, Shuo Wang, Yu Gu, Ge Yu
2026 J jnl
Long-Chain Reasoning Distillation via Adaptive Prefix Alignment.
CoRR
Zhenghao Liu, Zhuoyang Wu, Xinze Li, Yukun Yan, Shuo Wang, Zulong Chen, Yu Gu, Ge Yu, Maosong Sun
2026 J jnl
MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization.
CoRR
Haidong Xin, Xinze Li, Zhenghao Liu, Yukun Yan, Shuo Wang, Cheng Yang, Yu Gu, Ge Yu, Maosong Sun
2026 J jnl
Revealing the Attention Floating Mechanism in Masked Diffusion Models.
CoRR
Xin Dai, Pengcheng Huang, Zhenghao Liu, Shuo Wang, Yukun Yan, Chaojun Xiao, Yu Gu, Ge Yu, Maosong Sun
2026 J jnl
Tau-BNO: Brain Neural Operator for Tau Transport Model.
CoRR
Nuutti Barron, Heng Rao, Urmi Saha, Yu Gu, Zhenghao Liu, Ge Yu, Defu Yang, Ashish Raj, Minghan Chen
2026 J jnl
Teaching LLMs to Learn Tool Trialing and Execution through Environment Interaction.
CoRR
Xingjie Gao, Pengcheng Huang, Zhenghao Liu, Yukun Yan, Shuo Wang, Zulong Chen, Cheng Qian, Ge Yu, Yu Gu
2026 J jnl
UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents.
CoRR
Yifan Ji, Zhipeng Xu, Zhenghao Liu, Zulong Chen, Qian Zhang, Zhibo Yang, Junyang Lin, Yu Gu, Ge Yu, Maosong Sun
2025 J jnl
A Query-Aware Method for Approximate Range Search in Hamming Space.
IEEE Trans. Big Data
Yang Song, Yu Gu, Min Huang, Ge Yu
2025 Misc conf
Adapting Language Models to Text Matching Based Recommendation Systems.
WISA
Haidong Xin, Sen Mei, Zhenghao Liu, Xiaohua Li, Minghe Yu, Yu Gu, Ge Yu
2025 J jnl
Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts.
CoRR
Zhenghao Liu, Xingsheng Zhu, Tianshuo Zhou, Xinyi Zhang, Xiaoyuan Yi, Yukun Yan, Yu Gu, Ge Yu, Maosong Sun
2025 J jnl
Building a Coding Assistant via the Retrieval-Augmented Language Model.
ACM Trans. Inf. Syst.
Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang, Yukun Yan, Yukai Fu, Yu Gu, Ge Yu
2025 — conf
COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis.
NAACL (Findings)
Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu
2025 J jnl
Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization.
CoRR
Shaohua Duan, Xinze Li, Zhenghao Liu, Xiaoyuan Yi, Yukun Yan, Shuo Wang, Yu Gu, Ge Yu, Maosong Sun
2025 J jnl
ConsRec: Denoising Sequential Recommendation through User-Consistent Preference Modeling.
CoRR
Haidong Xin, Qiushi Xiong, Zhenghao Liu, Sen Mei, Yukun Yan, Shi Yu, Shuo Wang, Yu Gu, Ge Yu, Chenyan Xiong
2025 J jnl
EULER: Enhancing the Reasoning Ability of Large Language Models through Error-Induced Learning.
CoRR
Zhuoyang Wu, Xinze Li, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Minghe Yu, Cheng Yang, Yu Gu, Ge Yu, Maosong Sun
2025 A* conf
Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph.
SIGIR
Qiushi Xiong, Zhipeng Xu, Zhenghao Liu, Mengjia Wang, Zulong Chen, Yue Sun, Yu Gu, Xiaohua Li, Ge Yu
2025 J jnl
Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph.
CoRR
Qiushi Xiong, Zhipeng Xu, Zhenghao Liu, Mengjia Wang, Zulong Chen, Yue Sun, Yu Gu, Xiaohua Li, Ge Yu
2025 A* conf
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance.
EMNLP
Sijia Yao, Pengcheng Huang, Zhenghao Liu, Yu Gu, Yukun Yan, Shi Yu, Ge Yu
2025 J jnl
FELEMN: Toward Efficient Feature-Level Machine Unlearning for Exact Privacy Protection.
IEEE Trans. Knowl. Data Eng.
Zhigang Wang, Yizhen Yu, Mingxin Li, Jian Lou, Ning Wang, Yu Gu, Shen Su, Yuan Liu, Hui Jiang, Zhihong Tian
2025 J jnl
Generative imputation of incomplete images: Leveraging multimodal information for missing pixel.
Inf. Sci.
Qian Ma, Yuan Guo, Jinlei Zhang, Haochen Zhang, Shikai Guo, Bo Ning, Yu Gu, Ge Yu
2025 J jnl
HIPPO: Enhancing the Table Understanding Capability of Large Language Models through Hybrid-Modal Preference Optimization.
CoRR
Zhenghao Liu, Haolan Wang, Xinze Li, Qiushi Xiong, Xiaocui Yang, Yu Gu, Yukun Yan, Qi Shi, Fangfang Li, Ge Yu, Maosong Sun
2025 A* conf
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations.
AAAI
Heng Rao, Yu Gu, Jason Zipeng Zhang, Ge Yu, Yang Cao, Minghan Chen
2025 J jnl
Illicit Social Accounts? Anti-Money Laundering for Transactional Blockchains.
IEEE Trans. Inf. Forensics Secur.
Jie Song, Sijia Zhang, Pengyi Zhang, Junghoon Park, Yu Gu, Ge Yu
2025 A conf
LCHGNN: Towards Distributed Hypergraph Neural Network Training Based on Communication Graphs with Lightweight Communication Optimization.
CIKM
Taibo Wang, Yu Gu, Xinning Cui, Zhen Song, Xiaohua Li, Fangfang Li
2025 J jnl
LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences.
CoRR
Sijia Yao, Pengcheng Huang, Zhenghao Liu, Yu Gu, Yukun Yan, Shi Yu, Ge Yu
2025 J jnl
Learning More Effective Representations for Dense Retrieval through Deliberate Thinking Before Search.
CoRR
Yifan Ji, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Shi Yu, Yishan Li, Zhiyuan Liu, Yu Gu, Ge Yu, Maosong Sun
2025 — conf
Learning Refined Document Representations for Dense Retrieval via Deliberate Thinking.
SIGIR-AP
Yifan Ji, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Shi Yu, Yishan Li, Zhiyuan Liu, Yu Gu, Ge Yu, Maosong Sun
2025 J jnl
Learning to Route Queries Across Knowledge Bases for Step-wise Retrieval-Augmented Reasoning.
CoRR
Chunyi Peng, Zhipeng Xu, Zhenghao Liu, Yishan Li, Yukun Yan, Shuo Wang, Zhiyuan Liu, Yu Gu, Minghe Yu, Ge Yu, Maosong Sun
2025 — conf
LegalDuet: Learning Fine-Grained Representations for Legal Judgment Prediction via a Dual-View Contrastive Learning.
ADMA (1)
Buqiang Xu, Xin Dai, Zhenghao Liu, Huiyuan Xie, Xiaoyuan Yi, Shuo Wang, Yukun Yan, Liner Yang, Yu Gu, Ge Yu
2025 J jnl
Lightweight Graph Partitioning Enhanced by Implicit Knowledge.
IEEE Trans. Computers
Zhigang Wang, Gongtai Sun, Ning Wang, Lixin Gao, Chuanfei Xu, Yu Gu, Ge Yu, Zhihong Tian
2025 J jnl
Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling.
CoRR
Shuliang Liu, Zhipeng Xu, Zhenghao Liu, Yukun Yan, Minghe Yu, Yu Gu, Chong Chen, Huiyuan Xie, Ge Yu
2025 J jnl
Multi-Evidence Based Fact Verification via A Confidential Graph Neural Network.
IEEE Trans. Big Data
Yuqing Lan, Zhenghao Liu, Yu Gu, Xiaoyuan Yi, Xiaohua Li, Liner Yang, Ge Yu
2025 J jnl
Multidimensional categorical data collection under shuffled differential privacy.
Comput. Secur.
Ning Wang, Jian Zhuang, Zhigang Wang, Zhiqiang Wei, Yu Gu, Peng Tang, Ge Yu
2025 J jnl
NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments.
Proc. VLDB Endow.
Mingyi Cao, Chunyu Cao, Yanfeng Zhang, Zhenbo Fu, Xin Ai, Qiange Wang, Yu Gu, Ge Yu
2025 J jnl
NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters.
Proc. ACM Manag. Data
Chunyu Cao, Xin Ai, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Hao Yuan, Mingyi Cao, Chaoyi Chen, Yingyou Wen, Yu Gu, Ge Yu
2025 J jnl
NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism.
Proc. VLDB Endow.
Zhenbo Fu, Xin Ai, Qiange Wang, Yanfeng Zhang, Shizhan Lu, Chaoyi Chen, Chunyu Cao, Hao Yuan, Zhewei Wei, Yu Gu, Yingyou Wen, Ge Yu
2025 J jnl
Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification.
CoRR
Yumeng Song, Yu Gu, Tianyi Li, Yushuai Li, Christian S. Jensen, Ge Yu
2025 — conf
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts.
ACL (1)
Mingyan Wu, Zhenghao Liu, Yukun Yan, Xinze Li, Shi Yu, Zheni Zeng, Yu Gu, Ge Yu
2025 J jnl
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts.
CoRR
Mingyan Wu, Zhenghao Liu, Yukun Yan, Xinze Li, Shi Yu, Zheni Zeng, Yu Gu, Ge Yu
2025 J jnl
SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training.
Proc. ACM Manag. Data
Zhen Song, Yu Gu, Tianyi Li, Yushuai Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu
2025 J jnl
Self-Guided Graph Refinement With Progressive Fusion for Multiplex Graph Contrastive Representation Learning.
IEEE Trans. Big Data
Qi Dai, Yu Gu, Xiaofeng Zhu, Xiaohua Li, Fangfang Li, Ge Yu
2025 — conf
Unsupervised Fact Error Correction Modeling by Using Span-Level Contrastive Learning.
DASFAA (2)
Yuqing Lan, Zhenghao Liu, Yu Gu, Xinze Li, Ge Yu
2024 J jnl
Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control.
CoRR
Zhigang Wang, Xu Zhang, Ning Wang, Chuanfei Xu, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
2024 J jnl
Building A Coding Assistant via the Retrieval-Augmented Language Model.
CoRR
Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang, Yukun Yan, Yukai Fu, Yu Gu, Ge Yu
2024 J jnl
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network.
IEEE Trans. Knowl. Data Eng.
Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu
2024 A* conf
Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data.
ICDE
Na Guo, Yaqi Wang, Wenli Sun, Yu Gu, Jianzhong Qi, Zhenghao Liu, Xiufeng Xia, Ge Yu
2024 J jnl
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective.
Proc. VLDB Endow.
Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu
2024 — conf
Diffusion Model-Enhanced Contrastive Learning for Graph Representation.
DASFAA (6)
Qi Dai, Yumeng Song, Yu Gu, Fangfang Li, Xiaohua Li
2024 J jnl
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training.
Proc. VLDB Endow.
Zhen Song, Yu Gu, Qing Sun, Tianyi Li, Yanfeng Zhang, Yushuai Li, Christian S. Jensen, Ge Yu
2024 J jnl
Enhancing the Code Debugging Ability of LLMs via Communicative Agent Based Data Refinement.
CoRR
Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu
2024 — conf
Exploring the Potential of Dimension Reduction in Building Efficient Dense Retrieval Systems.
CCIR
Zhipeng Xu, Zhenghao Liu, Yu Gu, Ge Yu
2024 J jnl
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations.
CoRR
Heng Rao, Yu Gu, Jason Zipeng Zhang, Ge Yu, Yang Cao, Minghan Chen
2024 J jnl
Improving Code Summarization With Tree Transformer Enhanced by Position-Related Syntax Complement.
IEEE Trans. Artif. Intell.
Jie Song, Zexin Zhang, Zirui Tang, Shi Feng, Yu Gu
2024 J jnl
Introducing on-chain graph data to consortium blockchain for commercial transactions.
Frontiers Comput. Sci.
Pengyi Zhang, Yuchen Yuan, Jie Song, Yu Gu, Qiang Qu, Yongjie Bai
2024 J jnl
LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction.
CoRR
Zhigang Wang, Hangyu Yang, Ning Wang, Chuanfei Xu, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
2024 A* conf
LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control.
ICDE
Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu
2024 A* conf
Label Constrained Reachability Queries on Time Dependent Graphs.
ICDE
Yishu Wang, Jinlong Chu, Ye Yuan, Yu Gu, Hangxu Ji, Hao Zhang
2024 — conf
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin.
ACL (1)
Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu
2024 — conf
Modeling User Viewing Flow using Large Language Models for Article Recommendation.
WWW (Companion Volume)
Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu
2024 J jnl
Multi-Evidence based Fact Verification via A Confidential Graph Neural Network.
CoRR
Yuqing Lan, Zhenghao Liu, Yu Gu, Xiaoyuan Yi, Xiaohua Li, Liner Yang, Ge Yu
2024 J jnl
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments.
Proc. VLDB Endow.
Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu
2024 J jnl
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism.
CoRR
Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Chaoyi Chen, Yu Gu, Ge Yu
2024 J jnl
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism.
Proc. VLDB Endow.
Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Chaoyi Chen, Yu Gu, Ge Yu
2024 J jnl
Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification.
Proc. VLDB Endow.
Yumeng Song, Yu Gu, Tianyi Li, Yushuai Li, Christian S. Jensen, Ge Yu
2023 J jnl
A lock-free approach to parallelizing personalized PageRank computations on GPU.
Frontiers Comput. Sci.
Zhigang Wang, Ning Wang, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
2023 J jnl
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling.
Proc. ACM Manag. Data
Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu
2023 A* conf
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract).
ICDE
Yang Song, Yu Gu, Rui Zhang, Ge Yu
2023 J jnl
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network.
CoRR
Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu
2023 — conf
CLNIE: A Contrastive Learning Based Node Importance Evaluation Method for Knowledge Graphs with Few Labels.
DASFAA (2)
Jingbo Wang, Yumeng Song, Yu Gu, Xiaohua Li, Fangfang Li
2023 J jnl
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective.
CoRR
Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu
2023 A conf
Effective Graph Kernels for Evolving Functional Brain Networks.
WSDM
Xinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu
2023 J jnl
Efficient Subhypergraph Matching Based on Hyperedge Features.
IEEE Trans. Knowl. Data Eng.
Yuhang Su, Yu Gu, Zhigang Wang, Ying Zhang, Jianbin Qin, Ge Yu
2023 J jnl
FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning.
IEEE Trans. Parallel Distributed Syst.
Zhigang Wang, Yilei Tu, Ning Wang, Lixin Gao, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
2023 A conf
Lightweight Streaming Graph Partitioning by Fully Utilizing Knowledge from Local View.
ICDCS
Zhigang Wang, Zichao Yang, Ning Wang, Yujie Du, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
2023 J jnl
Modeling User Viewing Flow using Large Language Models for Article Recommendation.
CoRR
Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu
2023 J jnl
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments.
CoRR
Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu
2023 J jnl
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams.
CoRR
Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu
2023 J jnl
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams.
Proc. VLDB Endow.
Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu
2023 A* conf
PlanRanker: Towards Personalized Ranking of Train Transfer Plans.
KDD
Jia Xu, Wanjie Tao, Zulong Chen, Jin Huang, Huihui Liu, Hong Wen, Shenghua Ni, Qun Dai, Yu Gu
2023 A* conf
PrivNUD: Effective Range Query Processing under Local Differential Privacy.
ICDE
Ning Wang, Yaohua Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peng Tang, Yu Gu, Ge Yu
2023 — conf
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data.
ACL (Findings)
Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu
2023 J jnl
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data.
CoRR
Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu
2023 A conf
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases.
CIKM
Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu
2023 J jnl
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases.
CoRR
Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu
2023 J jnl
Towards an Energy Complexity Model for Distributed Data Processing Algorithms.
IEEE Trans. Big Data
Jie Song, Xingchen Zhao, Chaopeng Guo, Yu Gu, Ge Yu
2023 J jnl
Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin.
CoRR
Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu
2023 J jnl
Why blockchain needs graph: A survey on studies, scenarios, and solutions.
J. Parallel Distributed Comput.
Jie Song, Pengyi Zhang, Qiang Qu, Yongjie Bai, Yu Gu, Ge Yu
2022 — conf
Accelerating Hypergraph Motif Counting Based on Hyperedge Relations.
APWeb/WAIM (2)
Yuhang Su, Yu Gu, Yang Song, Ge Yu
2022 J jnl
BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances.
IEEE Trans. Knowl. Data Eng.
Yang Song, Yu Gu, Rui Zhang, Ge Yu
2022 — conf
CSGNN: Improving Graph Neural Networks with Contrastive Semi-supervised Learning.
DASFAA (1)
Yumeng Song, Yu Gu, Xiaohua Li, Chuanwen Li, Ge Yu
2022 J jnl
Collecting and analyzing key-value data under shuffled differential privacy.
Frontiers Comput. Sci.
Ning Wang, Wei Zheng, Zhigang Wang, Zhiqiang Wei, Yu Gu, Peng Tang, Ge Yu
2022 J jnl
DRPS: efficient disk-resident parameter servers for distributed machine learning.
Frontiers Comput. Sci.
Zhen Song, Yu Gu, Zhigang Wang, Ge Yu
2022 A* conf
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder.
EMNLP
Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li
2022 J jnl
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder.
CoRR
Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li
2022 J jnl
Distributed Hypergraph Processing Using Intersection Graphs.
IEEE Trans. Knowl. Data Eng.
Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, Rui Zhang
2022 A* conf
EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression.
ICDE
Zhen Song, Yu Gu, Jianzhong Qi, Zhigang Wang, Ge Yu
2022 Misc conf
Efficient Subhypergraph Containment Queries on Hypergraph Databases.
WISA
Yuhang Su, Yang Song, Xiaohua Li, Fangfang Li, Yu Gu
2022 J jnl
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction.
CoRR
Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao
2022 — conf
IncreGNN: Incremental Graph Neural Network Learning by Considering Node and Parameter Importance.
DASFAA (1)
Di Wei, Yu Gu, Yumeng Song, Zhen Song, Fangfang Li, Ge Yu
2022 — conf
Parallel Pivoted Subgraph Filtering with Partial Coding Trees on GPU.
DASFAA (1)
Yang Wang, Yu Gu, Chuanwen Li
2022 A conf
Parallel Skyline Processing Using Space Pruning on GPU.
CIKM
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu
2022 J jnl
Unified-memory-based hybrid processing for partition-oriented subgraph matching on GPU.
World Wide Web
Jing Chen, Qiange Wang, Yu Gu, Chuanwen Li, Ge Yu
2021 J jnl
Adversarial network embedding using structural similarity.
Frontiers Comput. Sci.
Zihan Zhou, Yu Gu, Ge Yu
2021 J jnl
GPU-Based Dynamic Hyperspace Hash with Full Concurrency.
Data Sci. Eng.
Zhuo Ren, Yu Gu, Chuanwen Li, Fangfang Li, Ge Yu
2021 J jnl
HGraph: I/O-Efficient Distributed and Iterative Graph Computing by Hybrid Pushing/Pulling.
IEEE Trans. Knowl. Data Eng.
Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu, Jeffrey Xu Yu, Zhiqiang Wei
2021 A* conf
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index.
ICDE
Yang Song, Yu Gu, Rui Zhang, Ge Yu
2021 J jnl
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index.
CoRR
Yang Song, Yu Gu, Rui Zhang, Ge Yu
2021 J jnl
SkyCell: A Space-Pruning Based Parallel Skyline Algorithm.
CoRR
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu
2021 J jnl
Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer.
IEEE Access
Hengyu Liu, Tiancheng Zhang, Fan Li, Yu Gu, Ge Yu
2020 J jnl
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances.
CoRR
Yang Song, Yu Gu, Rui Zhang, Ge Yu
2020 — conf
Efficient Closeness Centrality Computation for Dynamic Graphs.
DASFAA (2)
Zhenzhen Shao, Na Guo, Yu Gu, Zhigang Wang, Fangfang Li, Ge Yu
2020 J jnl
Efficient processing of moving collective spatial keyword queries.
VLDB J.
Hongfei Xu, Yu Gu, Yu Sun, Jianzhong Qi, Ge Yu, Rui Zhang
2020 — conf
GHSH: Dynamic Hyperspace Hashing on GPU.
APWeb/WAIM (2)
Zhuo Ren, Yu Gu, Chuanwen Li, Fangfang Li, Ge Yu
2020 J jnl
MIDIA: exploring denoising autoencoders for missing data imputation.
Data Min. Knowl. Discov.
Qian Ma, Wang-Chien Lee, Tao-Yang Fu, Yu Gu, Ge Yu
2020 — conf
Partition-Oriented Subgraph Matching on GPU.
APWeb/WAIM (1)
Jing Chen, Yu Gu, Qiange Wang, Chuanwen Li, Ge Yu
2020 J jnl
REMIAN: Real-Time and Error-Tolerant Missing Value Imputation.
ACM Trans. Knowl. Discov. Data
Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu, Hongbo Liu, Xindong Wu
2019 — conf
DPSCAN: Structural Graph Clustering Based on Density Peaks.
DASFAA (2)
Changfa Wu, Yu Gu, Ge Yu
2019 J jnl
Differentially Private Top-k Frequent Columns Publication for High-Dimensional Data.
IEEE Access
Ning Wang, Zhigang Wang, Yu Gu, Jia Xu, Zhiqiang Wei, Ge Yu
2019 J jnl
Differentially private high-dimensional data publication via grouping and truncating techniques.
Frontiers Comput. Sci.
Ning Wang, Yu Gu, Jia Xu, Fangfang Li, Ge Yu
2019 J jnl
Diversifying Top-k Routes with Spatial Constraints.
J. Comput. Sci. Technol.
Hongfei Xu, Yu Gu, Jianzhong Qi, Jiayuan He, Ge Yu
2019 Misc conf
Efficient Large-Scale Multi-graph Similarity Search Using MapReduce.
WISA
Jun Pang, Minghe Yu, Yu Gu
2019 — conf
GPU-Accelerated Dynamic Graph Coloring.
DASFAA (3)
Ying Yang, Yu Gu, Chuanwen Li, Changyi Wan, Ge Yu
2019 — conf
Iterative Hypergraph Computation Based on Hyperedge-Connected Graphs.
APWeb/WAIM (1)
Kaiqiang Yu, Yu Gu, Shuo Yao, Zhen Song, Ge Yu
2019 J jnl
Moving
Inf. Syst.
Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu
2019 A* conf
Order-Sensitive Imputation for Clustered Missing Values (Extended Abstract).
ICDE
Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu
2019 J jnl
Order-Sensitive Imputation for Clustered Missing Values.
IEEE Trans. Knowl. Data Eng.
Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu
2019 J jnl
TSH: Easy-to-be distributed partitioning for large-scale graphs.
Future Gener. Comput. Syst.
Ning Wang, Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu
2018 J jnl
A Fault-Tolerant Framework for Asynchronous Iterative Computations in Cloud Environments.
IEEE Trans. Parallel Distributed Syst.
Zhigang Wang, Lixin Gao, Yu Gu, Yubin Bao, Ge Yu
2018 A* conf
A GPU Accelerated Update Efficient Index for kNN Queries in Road Networks.
ICDE
Chuanwen Li, Yu Gu, Jianzhong Qi, Jiayuan He, Qingxu Deng, Ge Yu
2018 J jnl
Approximate Order-Sensitive k-NN Queries over Correlated High-Dimensional Data.
IEEE Trans. Knowl. Data Eng.
Yu Gu, Yandan Guo, Yang Song, Xiangmin Zhou, Ge Yu
2018 — conf
LIDH: An Efficient Filtering Method for Approximate k Nearest Neighbor Queries Based on Local Intrinsic Dimension.
APWeb/WAIM (1)
Yang Song, Yu Gu, Ge Yu
2018 J jnl
Semi-supervised multi-graph classification using optimal feature selection and extreme learning machine.
Neurocomputing
Jun Pang, Yu Gu, Jia Xu, Ge Yu
2018 J jnl
Super-Graph Classification Based on Composite Subgraph Features and Extreme Learning Machine.
Cogn. Comput.
Jun Pang, Yuhai Zhao, Jia Xu, Yu Gu, Ge Yu
2017 B conf
An Effective and Efficient Truth Discovery Framework over Data Streams.
EDBT
Tianyi Li, Yu Gu, Xiangmin Zhou, Qian Ma, Ge Yu
2017 J jnl
An I/O-efficient and adaptive fault-tolerant framework for distributed graph computations.
Distributed Parallel Databases
Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu, Lixin Gao
2017 J jnl
Differentially Private Event Histogram Publication on Sequences over Graphs.
J. Comput. Sci. Technol.
Ning Wang, Yu Gu, Jia Xu, Fangfang Li, Ge Yu
2017 — conf
FSP: towards flexible synchronous parallel framework for expectation-maximization based algorithms on cloud.
SoCC
Zhigang Wang, Lixin Gao, Yu Gu, Yubin Bao, Ge Yu
2017 J jnl
Parallel multi-graph classification using extreme learning machine and MapReduce.
Neurocomputing
Jun Pang, Yu Gu, Jia Xu, Xiaowang Kong, Ge Yu
2017 A* conf
PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy.
ICDE
Ning Wang, Xiaokui Xiao, Yin Yang, Zhenjie Zhang, Yu Gu, Ge Yu
2017 A* conf
The Moving K Diversified Nearest Neighbor Query.
ICDE
Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang
2016 — conf
A Fault-Tolerant Framework for Asynchronous Iterative Computations in Cloud Environments.
SoCC
Zhigang Wang, Lixin Gao, Yu Gu, Yubin Bao, Ge Yu
2016 — conf
Effective Privacy Preservation over Composite Events with Markov Correlations.
IEEE WISA
Fangfang Li, Ning Wang, Yu Gu, Zhe Chen
2016 A conf
Efficient Processing of Location-Aware Group Preference Queries.
CIKM
Miao Li, Lisi Chen, Gao Cong, Yu Gu, Ge Yu
2016 J jnl
Efficient moving k nearest neighbor queries over line segment objects.
World Wide Web
Yu Gu, Hui Zhang, Zhigang Wang, Ge Yu
2016 A* conf
Efficient similarity join based on Earth Mover's Distance using MapReduce.
ICDE
Jia Xu, Bin Lei, Yu Gu, Marianne Winslett, Ge Yu, Zhenjie Zhang
2016 — conf
Hybrid Pulling/Pushing for I/O-Efficient Distributed and Iterative Graph Computing.
SIGMOD Conference
Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu, Jeffrey Xu Yu
2016 J jnl
INSQ: An Influential Neighbor Set Based Moving kNN Query Processing System.
CoRR
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Qingxu Deng
2016 A* conf
INSQ: An influential neighbor set based moving kNN query processing system.
ICDE
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Qingxu Deng
2016 J jnl
Subgraph similarity maximal all-matching over a large uncertain graph.
World Wide Web
Yu Gu, Chunpeng Gao, Lulu Wang, Ge Yu
2016 J jnl
The Moving K Diversified Nearest Neighbor Query.
IEEE Trans. Knowl. Data Eng.
Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang
2015 J jnl
A safe region based approach to moving KNN queries in obstructed space.
Knowl. Inf. Syst.
Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu
2015 — conf
Effective and Efficient Predictive Density Queries for Indoor Moving Objects.
DASFAA (1)
Miao Li, Yu Gu, Ge Yu
2015 J jnl
Efficient Similarity Join Based on Earth Mover's Distance Using MapReduce.
IEEE Trans. Knowl. Data Eng.
Jia Xu, Bin Lei, Yu Gu, Marianne Winslett, Ge Yu, Zhenjie Zhang
2015 — conf
Energy-Efficient and Smoothing-Sensitive Curve Recovery of Sensing Physical World.
BigCom
Qian Ma, Yu Gu, Tiancheng Zhang, Fangfang Li, Ge Yu
2015 J jnl
基于MapReduce框架的海量数据相似性连接研究进展 (Similarity Joins on Massive Data Based on MapReduce Framework).
计算机科学
Jun Pang, Ge Yu, Jia Xu, Yu Gu
2014 J jnl
An Efficient Method for k Nearest Neighbor Searching in Obstructed Spatial Databases.
J. Inf. Sci. Eng.
Yu Gu, Ge Yu, Xiaonan Yu
2014 J jnl
Continuous visible k nearest neighbor query on moving objects.
Inf. Syst.
Yanqiu Wang, Rui Zhang, Chuanfei Xu, Jianzhong Qi, Yu Gu, Ge Yu
2014 J jnl
Effective and Efficient Clustering Methods for Correlated Probabilistic Graphs.
IEEE Trans. Knowl. Data Eng.
Yu Gu, Chunpeng Gao, Gao Cong, Ge Yu
2014 — conf
Efficient Graph Similarity Join with Scalable Prefix-Filtering Using MapReduce.
WAIM
Jun Pang, Yu Gu, Jia Xu, Yubin Bao, Ge Yu
2014 — conf
Label and Distance-Constraint Reachability Queries in Uncertain Graphs.
DASFAA (1)
Minghan Chen, Yu Gu, Yubin Bao, Ge Yu
2014 J jnl
Processing Moving kNN Queries Using Influential Neighbor Sets.
Proc. VLDB Endow.
Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Wang Yi
2013 — conf
A BSP-Based Parallel Iterative Processing System with Multiple Partition Strategies for Big Graphs.
BigData Congress
Zhigang Wang, Yubin Bao, Yu Gu, Fangling Leng, Ge Yu, Chao Deng, Leitao Guo
2013 — conf
BC-BSP: A BSP-Based Parallel Iterative Processing System for Big Data on Cloud Architecture.
DASFAA Workshops
Yubin Bao, Zhigang Wang, Yu Gu, Ge Yu, Fangling Leng, Hongxu Zhang, Bairen Chen, Chao Deng, Leitao Guo
2013 J jnl
Group Location Selection Queries over Uncertain Objects.
IEEE Trans. Knowl. Data Eng.
Chuanfei Xu, Yu Gu, Roger Zimmermann, Shukuan Lin, Ge Yu
2013 A* conf
Interval reverse nearest neighbor queries on uncertain data with Markov correlations.
ICDE
Chuanfei Xu, Yu Gu, Lei Chen, Jianzhong Qiao, Ge Yu
2013 — conf
Parallel Triangle Counting over Large Graphs.
DASFAA (2)
Wenan Wang, Yu Gu, Zhigang Wang, Ge Yu
2013 — conf
Shortest Path Computation over Disk-Resident Large Graphs Based on Extended Bulk Synchronous Parallel Methods.
DASFAA (2)
Zhigang Wang, Yu Gu, Roger Zimmermann, Ge Yu
2013 J jnl
Spatial query processing in road networks for wireless data broadcast.
Wirel. Networks
Yanqiu Wang, Chuanfei Xu, Yu Gu, Mo Chen, Ge Yu
2013 J jnl
Triggered Moving Range Queries over RFID Monitored Objects.
J. Inf. Sci. Eng.
Yu Gu, Ge Yu, Na Guo
2012 — conf
Adaptive Update Workload Reduction for Moving Objects in Road Networks.
WAIM
Miao Li, Yu Gu, Jia Xu, Ge Yu
2012 J jnl
Deadline-aware complex event processing models over distributed monitoring streams.
Math. Comput. Model.
Yu Gu, Ge Yu, Chuanwen Li
2012 A* conf
EUDEMON: A System for Online Video Frame Copy Detection by Earth Mover's Distance.
ICDE
Jia Xu, Qiushi Bai, Yu Gu, Anthony K. H. Tung, Guoren Wang, Ge Yu, Zhenjie Zhang
2012 J jnl
Efficient fuzzy ranking queries in uncertain databases.
Appl. Intell.
Chuanfei Xu, Yanqiu Wang, Yu Gu, Shukuan Lin, Ge Yu
2012 Misc conf
Optimal k-Constraint Coverage Queries on Spatial Objects.
ADC
Chuanfei Xu, Yanqiu Wang, Yu Gu, Shukuan Lin, Ge Yu
2012 C conf
Scalable Complex Event Processing on Top of MapReduce.
APWeb
Jiaxue Yang, Yu Gu, Yubin Bao, Ge Yu
2012 C conf
Study of an RFID Based Object-Relationship Recognition System.
CIS
Tiancheng Zhang, Xiaonan Yu, Dejun Yue, Yu Gu, Ge Yu
2012 — ed.
Web-Age Information Management - WAIM 2012 International Workshops: GDMM, IWSN, MDSP, USDM, and XMLDM Harbin, China, August 18-20, 2012 Proceedings
WAIM Workshops
Zhifeng Bao, Yunjun Gao, Yu Gu, Longjiang Guo, Yingshu Li, Jiaheng Lu, Zujie Ren, Chaokun Wang, Xiao Zhang
2011 J jnl
Aggressive Complex Event Processing with Confidence over Out-of-Order Streams.
J. Comput. Sci. Technol.
Chuanwen Li, Yu Gu, Ge Yu, Bonghee Hong
2011 J jnl
An Efficient Method for Cleaning Dirty-Events over Uncertain Data in WSNs.
J. Comput. Sci. Technol.
Mo Chen, Ge Yu, Yu Gu, Zixi Jia, Yanqiu Wang
2011 — conf
Evaluating Probabilistic Spatial-Range Closest Pairs Queries over Uncertain Objects.
WAIM
Mo Chen, Zixi Jia, Yu Gu, Ge Yu, Chuanwen Li
2011 — conf
MRQSim: A Moving Range Query Simulation Platform in Spatial Networks.
DASFAA (2)
Yu Gu, Na Guo, Chuanwen Li, Ge Yu
2011 C conf
Top-
APWeb
Mo Chen, Zixi Jia, Yu Gu, Ge Yu
2010 — conf
Efficient Fuzzy Top-
DEXA (1)
Chuanfei Xu, Yanqiu Wang, Shukuan Lin, Yu Gu, Jianzhong Qiao
2010 — conf
Efficient Similarity Query in RFID Trajectory Databases.
WAIM
Yanqiu Wang, Ge Yu, Yu Gu, Dejun Yue, Tiancheng Zhang
2010 C conf
Moving K-Nearest Neighbor Query over Obstructed Regions.
APWeb
Chuanwen Li, Yu Gu, Fangfang Li, Mo Chen
2009 J jnl
Adaptive correlation analysis in stream time series with sliding windows.
Comput. Math. Appl.
Tiancheng Zhang, Dejun Yue, Yu Gu, Yi Wang, Ge Yu
2009 — conf
Effective Similarity Analysis over Event Streams Based on Sharing Extent.
APWeb/WAIM
Yanqiu Wang, Ge Yu, Tiancheng Zhang, Dejun Yue, Yu Gu, Xiaolong Hu
2009 B conf
Efficient RFID Data Imputation by Analyzing the Correlations of Monitored Objects.
DASFAA
Yu Gu, Ge Yu, Yueguo Chen, Beng Chin Ooi
2009 B conf
MarcoPolo: a community system for sharing and integrating travel information on maps.
EDBT
Yueguo Chen, Su Chen, Yu Gu, Mei Hui, Feng Li, Chen Liu, Liangxu Liu, Beng Chin Ooi, Xiaoyan Yang, Dongxiang Zhang, Yuan Zhou
2009 A conf
Probabilistic moving range query over RFID spatio-temporal data streams.
CIKM
Yu Gu, Ge Yu, Na Guo, Yueguo Chen
2008 — conf
Modeling and Service Capability Evaluation for RFID Complex Event Processing.
WAIM
Yu Gu, Yanfei Lv, Ge Yu, Jia Xu
2007 — conf
A QoS-Guaranteeing Scheduling Algorithm for Continuous Queries over Streams.
APWeb/WAIM
Shanshan Wu, Yanfei Lv, Ge Yu, Yu Gu, Xiaojing Li
2007 — conf
A Simple But Effective Event-Driven Model for Data Stream Queries.
APWeb/WAIM
Yu Gu, Ge Yu, Shanshan Wu, Xiaojing Li, Yanfei Lv, Dejun Yue
2007 C conf
An Adaptive Join Strategy in Distributed Data Stream Management System.
CIS
Xiaojing Li, Yu Gu, Dejun Yue, Ge Yu
2007 A conf
Boolean representation based data-adaptive correlation analysis over time series streams.
CIKM
Tiancheng Zhang, Dejun Yue, Yu Gu, Ge Yu
2007 — conf
Correlation Analysis Based on Hierarchical Boolean Representation over Time Series Data Streams.
FSKD (2)
Tiancheng Zhang, Dejun Yue, Ge Yu, Yu Gu
2006 — conf
Modelling and Guaranteeing Quality of Service over Data Streams.
WISE Workshops
Shanshan Wu, Yu Gu, Yanfei Lv, Ge Yu
2005 — conf
A Deadline-Sensitive Approach for Real-Time Processing of Sliding Windows.
WAIM
Shanshan Wu, Ge Yu, Yaxin Yu, Zhengyu Ou, Xinhua Yang, Yu Gu