Jingbang Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Personalized Ranking

Matrix Factorization

Top Venues

Publications

Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma
Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks. CoRR (2024)
Ruitao Xie, Jingbang Chen, Limai Jiang, Rui Xiao, Yi Pan, Yunpeng Cai
Accurate Explanation Model for Image Classifiers using Class Association Embedding. CoRR (2024)
Ruitao Xie, Jingbang Chen, Limai Jiang, Rui Xiao, Yi Pan, Yunpeng Cai
Accurate Explanation Model for Image Classifiers using Class Association Embedding. ICDE (2024)
Qiuyang Mang, Jingbang Chen, Hangrui Zhou, Yu Gao, Yingli Zhou, Richard Peng, Yixiang Fang, Chenhao Ma
Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index. CoRR (2024)
Jingbang Chen, Meng He, J. Ian Munro, Richard Peng, Kaiyu Wu, Daniel J. Zhang
Distance queries over dynamic interval graphs. Comput. Geom. 122 (2024)
Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma
Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks. KDD (2024)
Ruitao Xie, Jingbang Chen, Limai Jiang, Rui Xiao, Yi Pan, Yunpeng Cai
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation. CoRR (2023)
Jingbang Chen, Yu Gao, Yufan Huang, Richard Peng, Runze Wang
Hardness of Graph-Structured Algebraic and Symbolic Problems. WADS (2023)
Jingbang Chen, Li Chen, Yang P. Liu, Richard Peng, Arvind Ramaswami
Exponential Convergence of Sinkhorn Under Regularization Scheduling. ACDA (2023)
Jingbang Chen, Meng He, J. Ian Munro, Richard Peng, Kaiyu Wu, Daniel J. Zhang
Distance Queries over Dynamic Interval Graphs. ISAAC (2023)
Ruinian Chang, Jingbang Chen, Qingyu Shi
Sandpile Prediction on Structured Undirected Graphs. CoRR (2023)
Jingbang Chen, Yian Wang, Xingwei Qu, Shuangjia Zheng, Yaodong Yang, Hao Dong, Jie Fu
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators. CoRR (2023)
Jingbang Chen, Yang P. Liu, Richard Peng, Arvind Ramaswami
Exponential Convergence of Sinkhorn Under Regularization Scheduling. CoRR (2022)
Jingbang Chen, Li Chen
On the Power of Learning-Augmented BSTs. CoRR (2022)
Jingbang Chen, Yu Gao, Yufan Huang, Richard Peng
Unit-Weight Laplacians are Complete for Linear Systems Modulo $p$. CoRR (2021)
Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. CoRR (2020)
Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. AAAI (2020)
Ziming Wu, Weiwei Lin, Pan Liu, Jingbang Chen, Li Mao
Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction. IEEE Access 7 (2019)