Jingbang Chen

Orcid: 0000-0002-7279-0801

According to our database1, Jingbang Chen authored at least 15 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
Entrywise Approximate Laplacian Solving.
CoRR, 2024

Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index.
CoRR, 2024

Distance queries over dynamic interval graphs.
Comput. Geom., 2024

Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Accurate Explanation Model for Image Classifiers using Class Association Embedding.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators.
CoRR, 2023

Sandpile Prediction on Structured Undirected Graphs.
CoRR, 2023

Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation.
CoRR, 2023

Hardness of Graph-Structured Algebraic and Symbolic Problems.
Proceedings of the Algorithms and Data Structures - 18th International Symposium, 2023

Exponential Convergence of Sinkhorn Under Regularization Scheduling.
Proceedings of the SIAM Conference on Applied and Computational Discrete Algorithms, 2023

2022
On the Power of Learning-Augmented BSTs.
CoRR, 2022

Exponential Convergence of Sinkhorn Under Regularization Scheduling.
CoRR, 2022

2021
Unit-Weight Laplacians are Complete for Linear Systems Modulo $p$.
CoRR, 2021

2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction.
IEEE Access, 2019


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