Yuchen Li

Orcid: 0000-0001-9646-291X

Affiliations:
  • Singapore Management University, Singapore
  • National University of Singapore (former)


According to our database1, Yuchen Li authored at least 73 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
A Survey on Concurrent Processing of Graph Analytical Queries: Systems and Algorithms.
IEEE Trans. Knowl. Data Eng., November, 2024

Large-Scale Graph Label Propagation on GPUs.
IEEE Trans. Knowl. Data Eng., October, 2024

gSWORD: GPU-accelerated Sampling for Subgraph Counting.
Proc. ACM Manag. Data, February, 2024

uBlade: Efficient Batch Processing for Uncertainty Graph Queries.
Proc. ACM Manag. Data, 2024

How to Avoid Jumping to Conclusions: Measuring the Robustness of Outstanding Facts in Knowledge Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Enabling Roll-Up and Drill-Down Operations in News Exploration with Knowledge Graphs for Due Diligence and Risk Management.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Discovering Personalized Characteristic Communities in Attributed Graphs.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Balancing Utility and Fairness in Submodular Maximization.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Reachability-Aware Fair Influence Maximization.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023
On the Substructure Countability of Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., November, 2023

Graph Neural Point Process for Temporal Interaction Prediction.
IEEE Trans. Knowl. Data Eng., May, 2023

Sampling Algorithms for Butterfly Counting on Temporal Bipartite Graphs.
CoRR, 2023

Exploiting Reuse for GPU Subgraph Enumeration (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
On the Robustness of Diffusion in a Network Under Node Attacks.
IEEE Trans. Knowl. Data Eng., 2022

Exploiting Reuse for GPU Subgraph Enumeration.
IEEE Trans. Knowl. Data Eng., 2022

Efficient Sampling Algorithms for Approximate Motif Counting in Temporal Graph Streams.
CoRR, 2022

Balancing Utility and Fairness in Submodular Maximization (Technical Report).
CoRR, 2022

Efficient Navigation for Constrained Shortest Path with Adaptive Expansion Control.
Proceedings of the IEEE International Conference on Data Mining, 2022

Local Clustering over Labeled Graphs: An Index-Free Approach.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
A survey of typical attributed graph queries.
World Wide Web, 2021

ThunderRW: An In-Memory Graph Random Walk Engine.
Proc. VLDB Endow., 2021

ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version).
CoRR, 2021

DBL: Efficient Reachability Queries on Dynamic Graphs (Complete Version).
CoRR, 2021

DeepIS: Susceptibility Estimation on Social Networks.
Proceedings of the WSDM '21, 2021

Minimizing the Regret of an Influence Provider.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Cache-Efficient Fork-Processing Patterns on Large Graphs.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Self-adaptive Graph Traversal on GPUs.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Minimum Coresets for Maxima Representation of Multidimensional Data.
Proceedings of the PODS'21: Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2021

Context-aware Outstanding Fact Mining from Knowledge Graphs.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Forecasting Interaction Order on Temporal Graphs.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

NewsLink: Empowering Intuitive News Search with Knowledge Graphs.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DyCuckoo: Dynamic Hash Tables on GPUs.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

A Fully Dynamic Algorithm for k-Regret Minimizing Sets.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DBL: Efficient Reachability Queries on Dynamic Graphs.
Proceedings of the Database Systems for Advanced Applications, 2021

From Community Search to Community Understanding: A Multimodal Community Query Engine.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Towards an Optimal Outdoor Advertising Placement: When a Budget Constraint Meets Moving Trajectories.
ACM Trans. Knowl. Discov. Data, 2020

Accelerating Exact Constrained Shortest Paths on GPUs.
Proc. VLDB Endow., 2020

Efficient Sampling Algorithms for Approximate Temporal Motif Counting (Extended Version).
CoRR, 2020

GRMR: Generalized Regret-Minimizing Representatives.
CoRR, 2020

On the Robustness of Cascade Diffusion under Node Attacks.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

GPU-Accelerated Subgraph Enumeration on Partitioned Graphs.
Proceedings of the 2020 International Conference on Management of Data, 2020

BiANE: Bipartite Attributed Network Embedding.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Efficient Sampling Algorithms for Approximate Temporal Motif Counting.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Social Influence Does Matter: User Action Prediction for In-Feed Advertising.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Efficient Representative Subset Selection over Sliding Windows.
IEEE Trans. Knowl. Data Eng., 2019

ITAA: An Intelligent Trajectory-driven Outdoor Advertising Deployment Assistant.
Proc. VLDB Endow., 2019

SHOAL: Large-scale Hierarchical Taxonomy via Graph-based Query Coalition in E-commerce.
Proc. VLDB Endow., 2019

GPU-based Graph Traversal on Compressed Graphs.
Proceedings of the 2019 International Conference on Management of Data, 2019

Optimizing Impression Counts for Outdoor Advertising.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Coresets for Minimum Enclosing Balls over Sliding Windows.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Maximizing Multifaceted Network Influence.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Semantic and Influence aware k-Representative Queries over Social Streams.
Proceedings of the Advances in Database Technology, 2019

2018
Augmented keyword search on spatial entity databases.
VLDB J., 2018

Location-aware Influence Maximization over Dynamic Social Streams.
ACM Trans. Inf. Syst., 2018

Influence Maximization on Social Graphs: A Survey.
IEEE Trans. Knowl. Data Eng., 2018

Trajectory-driven Influential Billboard Placement.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment.
Proceedings of the IEEE International Conference on Data Mining, 2018

River: A Real-Time Influence Monitoring System on Social Media Streams.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

A Sliding-Window Framework for Representative Subset Selection.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

OCTOPUS: An Online Topic-Aware Influence Analysis System for Social Networks.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Processing Long Queries Against Short Text: Top-<i>k</i> Advertisement Matching in News Stream Applications.
ACM Trans. Inf. Syst., 2017

Discovering Newsworthy Themes from Sequenced Data: A Step Towards Computational Journalism.
IEEE Trans. Knowl. Data Eng., 2017

Real-Time Influence Maximization on Dynamic Social Streams.
Proc. VLDB Endow., 2017

Accelerating Dynamic Graph Analytics on GPUs.
Proc. VLDB Endow., 2017

Parallel Personalized Pagerank on Dynamic Graphs.
Proc. VLDB Endow., 2017

Technical Report: Accelerating Dynamic Graph Analytics on GPUs.
CoRR, 2017

Efficient Streaming Algorithms for Submodular Maximization with Multi-Knapsack Constraints.
CoRR, 2017

Discovering Your Selling Points: Personalized Social Influential Tags Exploration.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016
Context-aware advertisement recommendation for high-speed social news feeding.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
Real-time Targeted Influence Maximization for Online Advertisements.
Proc. VLDB Endow., 2015

Real time personalized search on social networks.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015


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