Jingbang Chen

According to our database, Jingbang Chen authored at least 24 papers between 2019 and 2026.

Collaborative distances:

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

2026

Scalable Algorithm for Dynamic Quasi-clique Detection.

Jingbang Chen, Weinuo Li, Yingli Zhou, Hao Wu, Can Wang, Yixiang Fang, Chenhao Ma

CoRR, May, 2026

Finding the Balance Rate of Uncertain Signed Graphs.

Zeyu Wang, Kudria Sergei, Jingbang Chen, Jiawei Chen, Xinyu Wang, Xiaodong Luo, Can Wang

CoRR, May, 2026

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models.

Weiqin Yang, Bohao Wang, Zhenxiang Xu, Jiawei Chen, Shengjia Zhang, Jingbang Chen, Canghong Jin, Can Wang

CoRR, January, 2026

TopKGAT: A Top-K Objective-Driven Architecture for Recommendation.

Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang

Proceedings of the ACM Web Conference 2026, 2026

2025

Scalable Approximate Biclique Counting over Large Bipartite Graphs.

Jingbang Chen, Weinuo Li, Yingli Zhou, Hangrui Zhou, Qiuyang Mang, Can Wang, Yixiang Fang, Chenhao Ma

Proc. VLDB Endow., December, 2025

FrontierCS: Evolving Challenges for Evolving Intelligence.

Qiuyang Mang, Wenhao Chai, Zhifei Li, Huanzhi Mao, Shang Zhou, Alexander Du, Hanchen Li, Shu Liu, Edwin Chen, Yichuan Wang, Xieting Chu, Zerui Cheng, Yuan Xu, Tian Xia, Zirui Wang, Tianneng Shi, Jianzhu Yao, Yilong Zhao, Qizheng Zhang, Charlie Ruan, Zeyu Shen, Kaiyuan Liu, Runyuan He, Dong Xing, Zerui Li, Zirong Zeng, Yige Jiang, Lufeng Cheng, Ziyi Zhao, Youran Sun, Wesley Zheng, Meiyuwang Zhang, Ruyi Ji, Xuechang Tu, Zihan Zheng, Zexing Chen, Kangyang Zhou, Zhaozi Wang, Jingbang Chen, Aleksandra Korolova, Peter Henderson, Pramod Viswanath, Vijay Ganesh, Saining Xie, Zhuang Liu, Dawn Song, Sewon Min, Ion Stoica, Joseph E. Gonzalez, Jingbo Shang, Alvin Cheung

CoRR, December, 2025

Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards.

Youliang Yuan, Qiuyang Mang, Jingbang Chen, Hong Wan, Xiaoyuan Liu, Junjielong Xu, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Pinjia He

CoRR, October, 2025

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

Qiuyang Mang, Jingbang Chen, Hangrui Zhou, Yu Gao, Yingli Zhou, Qingyu Shi, Richard Peng, Yixiang Fang, Chenhao Ma

Proc. VLDB Endow., February, 2025

On the Power of Learning-Augmented Search Trees.

Jingbang Chen, Xinyuan Cao, Alicia Stepin, Li Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Entrywise Approximate Laplacian Solving.

Jingbang Chen, Mehrdad Ghadiri, Hoai-An Nguyen, Richard Peng, Junzhao Yang

CoRR, 2024

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

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

CoRR, 2024

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

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Accurate Explanation Model for Image Classifiers using Class Association Embedding.

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

Proceedings of the 40th IEEE International Conference on Data Engineering, 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