Jingbang Chen - RankMe

28 papers A* 5B 2Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models. CoRR Weiqin Yang, Bohao Wang, Zhenxiang Xu, Jiawei Chen, Shengjia Zhang, Jingbang Chen, Canghong Jin, Can Wang
2026	A*	`conf`	TopKGAT: A Top-K Objective-Driven Architecture for Recommendation. WWW Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang
2026	J	`jnl`	TopKGAT: A Top-K Objective-Driven Architecture for Recommendation. CoRR Sirui Chen, Jiawei Chen, Canghong Jin, Sheng Zhou, Jingbang Chen, Wujie Sun, Can Wang
2025	J	`jnl`	Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards. CoRR Youliang Yuan, Qiuyang Mang, Jingbang Chen, Hong Wan, Xiaoyuan Liu, Junjielong Xu, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Pinjia He
2025	J	`jnl`	Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index. Proc. VLDB Endow. Qiuyang Mang, Jingbang Chen, Hangrui Zhou, Yu Gao, Yingli Zhou, Qingyu Shi, Richard Peng, Yixiang Fang, Chenhao Ma
2025	J	`jnl`	FrontierCS: Evolving Challenges for Evolving Intelligence. CoRR 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
2025	A*	`conf`	On the Power of Learning-Augmented Search Trees. ICML Jingbang Chen, Xinyuan Cao, Alicia Stepin, Li Chen
2025	J	`jnl`	Scalable Approximate Biclique Counting over Large Bipartite Graphs. CoRR Jingbang Chen, Weinuo Li, Yingli Zhou, Hangrui Zhou, Qiuyang Mang, Can Wang, Yixiang Fang, Chenhao Ma
2025	J	`jnl`	Scalable Approximate Biclique Counting over Large Bipartite Graphs. Proc. VLDB Endow. Jingbang Chen, Weinuo Li, Yingli Zhou, Hangrui Zhou, Qiuyang Mang, Can Wang, Yixiang Fang, Chenhao Ma
2024	A*	`conf`	Accurate Explanation Model for Image Classifiers using Class Association Embedding. ICDE Ruitao Xie, Jingbang Chen, Limai Jiang, Rui Xiao, Yi Pan, Yunpeng Cai
2024	J	`jnl`	Accurate Explanation Model for Image Classifiers using Class Association Embedding. CoRR Ruitao Xie, Jingbang Chen, Limai Jiang, Rui Xiao, Yi Pan, Yunpeng Cai
2024	J	`jnl`	Distance queries over dynamic interval graphs. Comput. Geom. Jingbang Chen, Meng He, J. Ian Munro, Richard Peng, Kaiyu Wu, Daniel J. Zhang
2024	J	`jnl`	Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index. CoRR Qiuyang Mang, Jingbang Chen, Hangrui Zhou, Yu Gao, Yingli Zhou, Richard Peng, Yixiang Fang, Chenhao Ma
2024	J	`jnl`	Entrywise Approximate Laplacian Solving. CoRR Jingbang Chen, Mehrdad Ghadiri, Hoai-An Nguyen, Richard Peng, Junzhao Yang
2024	A*	`conf`	Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks. KDD Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma
2024	J	`jnl`	Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks. CoRR Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma
2023	J	`jnl`	Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation. CoRR Ruitao Xie, Jingbang Chen, Limai Jiang, Rui Xiao, Yi Pan, Yunpeng Cai
2023	B	`conf`	Distance Queries over Dynamic Interval Graphs. ISAAC Jingbang Chen, Meng He, J. Ian Munro, Richard Peng, Kaiyu Wu, Daniel J. Zhang
2023	—	`conf`	Exponential Convergence of Sinkhorn Under Regularization Scheduling. ACDA Jingbang Chen, Li Chen, Yang P. Liu, Richard Peng, Arvind Ramaswami
2023	B	`conf`	Hardness of Graph-Structured Algebraic and Symbolic Problems. WADS Jingbang Chen, Yu Gao, Yufan Huang, Richard Peng, Runze Wang
2023	J	`jnl`	Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators. CoRR Jingbang Chen, Yian Wang, Xingwei Qu, Shuangjia Zheng, Yaodong Yang, Hao Dong, Jie Fu
2023	J	`jnl`	Sandpile Prediction on Structured Undirected Graphs. CoRR Ruinian Chang, Jingbang Chen, Qingyu Shi
2022	J	`jnl`	Exponential Convergence of Sinkhorn Under Regularization Scheduling. CoRR Jingbang Chen, Yang P. Liu, Richard Peng, Arvind Ramaswami
2022	J	`jnl`	On the Power of Learning-Augmented BSTs. CoRR Jingbang Chen, Li Chen
2021	J	`jnl`	Unit-Weight Laplacians are Complete for Linear Systems Modulo $p$. CoRR Jingbang Chen, Yu Gao, Yufan Huang, Richard Peng
2020	A*	`conf`	Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. AAAI Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen
2020	J	`jnl`	Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. CoRR Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen
2019	J	`jnl`	Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction. IEEE Access Ziming Wu, Weiwei Lin, Pan Liu, Jingbang Chen, Li Mao