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2020 – today
- 2024
[j2]Jingbang Chen, Meng He, J. Ian Munro, Richard Peng, Kaiyu Wu
, Daniel J. Zhang:
Distance queries over dynamic interval graphs. Comput. Geom. 122: 102103 (2024)- [c6]Ruitao Xie, Jingbang Chen, Limai Jiang, Rui Xiao, Yi Pan, Yunpeng Cai:
Accurate Explanation Model for Image Classifiers using Class Association Embedding. ICDE 2024: 2271-2284 - [c5]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: 278-287 - [i11]Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma:
Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks. CoRR abs/2402.05006 (2024) - [i10]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 abs/2406.00344 (2024) - [i9]Ruitao Xie, Jingbang Chen, Limai Jiang, Rui Xiao, Yi Pan, Yunpeng Cai:
Accurate Explanation Model for Image Classifiers using Class Association Embedding. CoRR abs/2406.07961 (2024) - [i8]Jingbang Chen, Mehrdad Ghadiri, Hoai-An Nguyen, Richard Peng, Junzhao Yang:
Entrywise Approximate Laplacian Solving. CoRR abs/2409.10022 (2024) - 2023
- [c4]Jingbang Chen, Li Chen, Yang P. Liu, Richard Peng, Arvind Ramaswami:
Exponential Convergence of Sinkhorn Under Regularization Scheduling. ACDA 2023: 180-188 - [c3]Jingbang Chen, Meng He, J. Ian Munro, Richard Peng, Kaiyu Wu, Daniel J. Zhang:
Distance Queries over Dynamic Interval Graphs. ISAAC 2023: 18:1-18:19 - [c2]Jingbang Chen, Yu Gao, Yufan Huang, Richard Peng, Runze Wang:
Hardness of Graph-Structured Algebraic and Symbolic Problems. WADS 2023: 232-246 - [i7]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 abs/2306.07306 (2023) - [i6]Ruinian Chang, Jingbang Chen, Qingyu Shi:
Sandpile Prediction on Structured Undirected Graphs. CoRR abs/2307.07711 (2023) - [i5]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 abs/2308.15116 (2023) - 2022
- [i4]Jingbang Chen, Yang P. Liu, Richard Peng, Arvind Ramaswami:
Exponential Convergence of Sinkhorn Under Regularization Scheduling. CoRR abs/2207.00736 (2022) - [i3]Jingbang Chen, Li Chen:
On the Power of Learning-Augmented BSTs. CoRR abs/2211.09251 (2022) - 2021
- [i2]Jingbang Chen, Yu Gao, Yufan Huang, Richard Peng:
Unit-Weight Laplacians are Complete for Linear Systems Modulo $p$. CoRR abs/2109.12736 (2021) - 2020
- [c1]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: 3470-3477 - [i1]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 abs/2003.01892 (2020)
2010 – 2019
- 2019
- [j1]Ziming Wu, Weiwei Lin, Pan Liu, Jingbang Chen, Li Mao:
Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction. IEEE Access 7: 51759-51770 (2019)
Coauthor Index
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