Bo Tang

Orcid: 0000-0001-8424-0092

Affiliations:
  • Southern University of Science and Technology, Shenzhen, Guangdong, China
  • The Hong Kong Polytechnic University, Hong Kong (PhD)


According to our database1, Bo Tang authored at least 70 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Extracting Top- Frequent and Diversified Patterns in Knowledge Graphs.
IEEE Trans. Knowl. Data Eng., February, 2024

CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor.
Proc. VLDB Endow., February, 2024

Quantifying the competitiveness of a dataset in relation to general preferences.
VLDB J., January, 2024

QEVIS: Multi-Grained Visualization of Distributed Query Execution.
IEEE Trans. Vis. Comput. Graph., January, 2024

Debiasing Recommendation with Personal Popularity.
CoRR, 2024

2023
DHive: Query Execution Performance Analysis via Dataflow in Apache Hive.
Proc. VLDB Endow., 2023

CDSBen: Benchmarking the Performance of Storage Services in Cloud-native Database System at ByteDance.
Proc. VLDB Endow., 2023

Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation.
Proc. ACM Manag. Data, 2023

EAR-Oracle: On Efficient Indexing for Distance Queries between Arbitrary Points on Terrain Surface.
Proc. ACM Manag. Data, 2023

Effective and Efficient PageRank-based Positioning for Graph Visualization.
Proc. ACM Manag. Data, 2023

Cascaded face super-resolution with shape and identity priors.
IET Image Process., 2023

Spatial Data Quality in the Internet of Things: Management, Exploitation, and Prospects.
ACM Comput. Surv., 2023

Data-Scarce Animal Face Alignment via Bi-Directional Cross-Species Knowledge Transfer.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Efficient Approximation Algorithms for Spanning Centrality.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DGI: An Easy and Efficient Framework for GNN Model Evaluation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Capacity Constrained Influence Maximization in Social Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Analyzing and Combating Attribute Bias for Face Restoration.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

EEPH: An Efficient Extendible Perfect Hashing for Hybrid PMem-DRAM.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Multi-domain Recommendation with Embedding Disentangling and Domain Alignment.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Building The Next Generation Computation Engine.
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022
Fast Error-Bounded Distance Distribution Computation.
IEEE Trans. Knowl. Data Eng., 2022

Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments.
Proc. VLDB Endow., 2022

Manu: A Cloud Native Vector Database Management System.
Proc. VLDB Endow., 2022

Combating spatial redundancy with spectral norm attention in convolutional learners.
Neurocomputing, 2022

On discovering motifs and frequent patterns in spatial trajectories with discrete Fréchet distance.
GeoInformatica, 2022

DGI: Easy and Efficient Inference for GNNs.
CoRR, 2022

T-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Spatial Data Quality in the IoT Era: Management and Exploitation.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Constructing Compact Time Series Index for Efficient Window Query Processing.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Fast Error-Bounded Distance Distribution Computation (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

CheetahKG: A Demonstration for Core-based Top-$k$ Frequent Pattern Discovery on Knowledge Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

imDedup: A Lossless Deduplication Scheme to Eliminate Fine-grained Redundancy among Images.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Face2Exp: Combating Data Biases for Facial Expression Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GHive: accelerating analytical query processing in apache hive via CPU-GPU heterogeneous computing.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

Automatic Meta-Path Discovery for Effective Graph-Based Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Measuring Friendship Closeness: A Perspective of Social Identity Theory.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
RCELF: A residual-based approach for Influence Maximization Problem.
Inf. Syst., 2021

PPRviz: Effective and Efficient Graph Visualization based on Personalized PageRank.
CoRR, 2021

Reinforced Meta-path Selection for Recommendation on Heterogeneous Information Networks.
CoRR, 2021

Vertex-Centric Visual Programming for Graph Neural Networks.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Marrying Top-k with Skyline Queries: Relaxing the Preference Input while Producing Output of Controllable Size.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

On m-Impact Regions and Standing Top-k Influence Problems.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

GAIPS: Accelerating Maximum Inner Product Search with GPU.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Fast Core-based Top-k Frequent Pattern Discovery in Knowledge Graphs.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Towards Efficient MaxBRNN Computation for Streaming Updates.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

GRAB: Finding Time Series Natural Structures via A Novel Graph-based Scheme.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
CheetahVIS: A Visual Analytical System for Large Urban Bus Data.
Proc. VLDB Endow., 2020

CheetahER: A Fast Entity Resolution System for Heterogeneous Camera Data.
Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases, 2020

Towards Self-Tuning Parameter Servers.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Creating Top Ranking Options in the Continuous Option and Preference Space.
Proc. VLDB Endow., 2019

A five-layer architecture for big data processing and analytics.
Int. J. Big Data Intell., 2019

Accelerating Exact Inner Product Retrieval by CPU-GPU Systems.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Vaite: A Visualization-Assisted Interactive Big Urban Trajectory Data Exploration System.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Fast Trajectory Range Query with Discrete Frechet Distance.
Proceedings of the Advances in Database Technology, 2019

Mining heterogeneous urban data for retail store placement.
Proceedings of the ACM Turing Celebration Conference - China, 2019

Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings.
Proc. VLDB Endow., 2018

Towards Self-Tuning Parameter Servers.
CoRR, 2018

Deriving Real-time City Crowd Flows by Heterogeneous Big Urban Data.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Efficient Longest Streak Discovery in Multidimensional Sequence Data.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017
Determining the Impact Regions of Competing Options in Preference Space.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Extracting Top-K Insights from Multi-dimensional Data.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Efficient Motif Discovery in Spatial Trajectories Using Discrete Fréchet Distance.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

Fast Subsequence Search on Time Series Data.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

2016
Exploit Every Bit: Effective Caching for High-Dimensional Nearest Neighbor Search.
IEEE Trans. Knowl. Data Eng., 2016

Exploit Every Cycle: Vectorized Time Series Algorithms on Modern Commodity CPUs.
Proceedings of the Data Management on New Hardware, 2016

2015
Diversified caching for replicated web search engines.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015


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