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ORCIDJingbang Chen 0001
Person information
- affiliation: Chinese University of Hong Kong - Shenzhen (CUHK-SZ), School of Data Science, Shenzhen, China
- affiliation (PhD 2025): University of Waterloo, David R. Cheriton School of Computer Science, Waterloo, Canada
- affiliation (2020 - 2022): Georgia Institute of Technology, Atlanta, GA, USA
- affiliation (2016 - 2020): Zhejiang University, Chu Kochen College, Hangzhou, China
Other persons with the same name
- Jingbang Chen — disambiguation page
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2020 – today
- 2026
[c9]Youliang Yuan, Qiuyang Mang, Jingbang Chen, Hong Wan, Xiaoyuan Liu, Junjielong Xu, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Pinjia He:
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards. ACL (1) 2026: 18556-18577- [c8]Weiqin Yang
, Bohao Wang, Zhenxiang Xu, Jiawei Chen, Shengjia Zhang, Jingbang Chen, Canghong Jin, Can Wang:
BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models. SIGIR 2026: 2196-2207 - [c7]Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang:
TopKGAT: A Top-K Objective-Driven Architecture for Recommendation. WWW 2026: 6898-6908 - [i15]Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang:
TopKGAT: A Top-K Objective-Driven Architecture for Recommendation. CoRR abs/2601.18432 (2026) - [i14]Weiqin Yang, Bohao Wang, Zhenxiang Xu, Jiawei Chen, Shengjia Zhang, Jingbang Chen, Canghong Jin, Can Wang:
BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models. CoRR abs/2601.22925 (2026) - [i13]Zeyu Wang, Kudria Sergei, Jingbang Chen, Jiawei Chen, Xinyu Wang, Xiaodong Luo, Can Wang:
Finding the Balance Rate of Uncertain Signed Graphs. CoRR abs/2605.17492 (2026) - [i12]Jingbang Chen, Weinuo Li, Yingli Zhou, Hao Wu, Can Wang, Yixiang Fang, Chenhao Ma:
Scalable Algorithm for Dynamic Quasi-clique Detection. CoRR abs/2605.26235 (2026) - 2025
- [j4]Qiuyang Mang, Jingbang Chen, Hangrui Zhou, Yu Gao, Yingli Zhou, Qingyu Shi, Richard Peng, Yixiang Fang, Chenhao Ma:
Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index. Proc. VLDB Endow. 18(6): 1607-1620 (2025) - [j3]Jingbang Chen, Weinuo Li, Yingli Zhou, Hangrui Zhou, Qiuyang Mang, Can Wang, Yixiang Fang, Chenhao Ma:
Scalable Approximate Biclique Counting over Large Bipartite Graphs. Proc. VLDB Endow. 19(4): 576-588 (2025) - [c6]Jingbang Chen, Xinyuan Cao, Alicia Stepin, Li Chen:
On the Power of Learning-Augmented Search Trees. ICML 2025 - [i11]Jingbang Chen, Weinuo Li, Yingli Zhou, Hangrui Zhou, Qiuyang Mang, Can Wang, Yixiang Fang, Chenhao Ma:
Scalable Approximate Biclique Counting over Large Bipartite Graphs. CoRR abs/2505.10471 (2025) - [i10]Youliang Yuan, Qiuyang Mang, Jingbang Chen, Hong Wan, Xiaoyuan Liu, Junjielong Xu, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Pinjia He:
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards. CoRR abs/2510.07774 (2025) - [i9]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:
FrontierCS: Evolving Challenges for Evolving Intelligence. CoRR abs/2512.15699 (2025) - 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) - [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 - [i8]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) - [i7]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) - [i6]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 - [i5]Ruinian Chang, Jingbang Chen, Qingyu Shi:
Sandpile Prediction on Structured Undirected Graphs. CoRR abs/2307.07711 (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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