Mingyue Cheng

419 total citations
19 papers, 181 citations indexed

About

Mingyue Cheng is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Mingyue Cheng has authored 19 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Information Systems and 8 papers in Signal Processing. Recurrent topics in Mingyue Cheng's work include Recommender Systems and Techniques (9 papers), Time Series Analysis and Forecasting (6 papers) and Music and Audio Processing (4 papers). Mingyue Cheng is often cited by papers focused on Recommender Systems and Techniques (9 papers), Time Series Analysis and Forecasting (6 papers) and Music and Audio Processing (4 papers). Mingyue Cheng collaborates with scholars based in China, United States and Netherlands. Mingyue Cheng's co-authors include Enhong Chen, Qi Liu, Qi Liu, Runlong Yu, Fajie Yuan, Dayong Wu, Biao Yin, Zhi Li, Yanqing An and Han Wu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Intelligent Systems and Technology and Frontiers of Computer Science.

In The Last Decade

Mingyue Cheng

16 papers receiving 179 citations

Peers

Countries citing papers authored by Mingyue Cheng

Since Specialization

Citations

This map shows the geographic impact of Mingyue Cheng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingyue Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyue Cheng more than expected).

Fields of papers citing papers by Mingyue Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingyue Cheng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingyue Cheng. The network helps show where Mingyue Cheng may publish in the future.

Co-authorship network of co-authors of Mingyue Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyue Cheng. A scholar is included among the top collaborators of Mingyue Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingyue Cheng. Mingyue Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study 2025 ·(unknown), Mingyue Cheng, Qi Liu, (unknown), (unknown), Jie Ouyang, (unknown), Chenyi Lei, Enhong Chen	0
2	TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models 2025 ·(unknown), Mingyue Cheng, (unknown), (unknown), (unknown), Qi Liu, (unknown), (unknown)	0
3	InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling 2025 ·Mingyue Cheng, (unknown), Qi Liu, (unknown), (unknown), Enhong Chen	4
4	Cross-Domain Pre-training with Language Models for Transferable Time Series Representations 2025 ·Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, (unknown), Defu Lian	3
5	ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis 2025 ·Mingyue Cheng, (unknown), (unknown), Qi Liu, Zhi Li, (unknown)	11
6	Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification 2025 ·ACM Transactions on Intelligent Systems and Technology ·Xiaoyu Tao, (unknown), Mingyue Cheng, (unknown), (unknown), (unknown)	0
7	Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information 2024 ·(unknown), Hao Zhang, (unknown), (unknown), Mingyue Cheng, Qi Liu, Enhong Chen	1
8	FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification 2023 ·Mingyue Cheng, Qi Liu, (unknown), Zhi Li, (unknown), Enhong Chen	21
9	Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract 2023 ·Runlong Yu, Qi Liu, (unknown), Mingyue Cheng, Enhong Chen, Jianhui Ma	1
10	A general tail item representation enhancement framework for sequential recommendation 2023 ·Frontiers of Computer Science ·Mingyue Cheng, Qi Liu, (unknown), (unknown), Hongke Zhao, Enhong Chen	5
11	Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation 2022 ·Proceedings of the ACM Web Conference 2022 ·Mingyue Cheng, (unknown), Qi Liu, (unknown), Enhong Chen	12
12	Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification 2022 ·Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval ·Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, (unknown), Wei Wu, Enhong Chen	7
13	One Person, One Model—Learning Compound Router for Sequential Recommendation 2022 ·(unknown), Mingyue Cheng, (unknown), Qi Liu, Enhong Chen	7
14	Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement 2021 ·Mingyue Cheng, Fajie Yuan, Qi Liu, (unknown), (unknown), Runlong Yu, Defu Lian, (unknown), Enhong Chen	12
15	LawyerPAN 2021 ·Yanqing An, Qi Liu, Han Wu, Kai Zhang, (unknown), Mingyue Cheng, Hongke Zhao, Enhong Chen	2
16	Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training 2021 ·Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen	21
17	NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction 2021 ·(unknown), Qi Liu, (unknown), Han Wu, (unknown), Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu	43
18	Collaborative List-and-Pairwise Filtering from Implicit Feedback 2020 ·IEEE Transactions on Knowledge and Data Engineering ·Runlong Yu, Qi Liu, (unknown), Mingyue Cheng, Enhong Chen, Jianhui Ma	23
19	Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering 2019 ·Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, (unknown), Enhong Chen	8

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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