Jingbang Chen

According to our database, Jingbang Chen authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks.

Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma

CoRR, 2024

2023

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

Jingbang Chen, Yian Wang, Xingwei Qu, Shuangjia Zheng, Yaodong Yang, Hao Dong, Jie Fu

CoRR, 2023

Sandpile Prediction on Structured Undirected Graphs.

Ruinian Chang, Jingbang Chen, Qingyu Shi

CoRR, 2023

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

Ruitao Xie, Jingbang Chen, Limai Jiang, Rui Xiao, Yi Pan, Yunpeng Cai

CoRR, 2023

Hardness of Graph-Structured Algebraic and Symbolic Problems.

Jingbang Chen, Yu Gao, Yufan Huang, Richard Peng, Runze Wang

Proceedings of the Algorithms and Data Structures - 18th International Symposium, 2023

Distance Queries over Dynamic Interval Graphs.

Jingbang Chen, Meng He, J. Ian Munro, Richard Peng, Kaiyu Wu, Daniel J. Zhang

Proceedings of the 34th International Symposium on Algorithms and Computation, 2023

Exponential Convergence of Sinkhorn Under Regularization Scheduling.

Jingbang Chen, Li Chen, Yang P. Liu, Richard Peng, Arvind Ramaswami

Proceedings of the SIAM Conference on Applied and Computational Discrete Algorithms, 2023

2022

On the Power of Learning-Augmented BSTs.

Jingbang Chen, Li Chen

CoRR, 2022

Exponential Convergence of Sinkhorn Under Regularization Scheduling.

Jingbang Chen, Yang P. Liu, Richard Peng, Arvind Ramaswami

CoRR, 2022

2021

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

Jingbang Chen, Yu Gao, Yufan Huang, Richard Peng

CoRR, 2021

2020

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback.

Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction.

Ziming Wu, Weiwei Lin, Pan Liu, Jingbang Chen, Li Mao

IEEE Access, 2019