Min Yang

2.8k citations

90 papers · 1.5k indexed · 1 hit paper · h-index 22

Impact in

Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Software top 5%

Papers in

Artificial Intelligence 73
- Topic Modeling 48
- Natural Language Processing Techniques 30
- Sentiment Analysis and Opinion Mining 16
- Advanced Text Analysis Techniques 11
- Speech and dialogue systems 9
- Domain Adaptation and Few-Shot Learning 8
Computer Vision and Pattern Recognition 28
- Multimodal Machine Learning Applications 18
- Advanced Image and Video Retrieval Techniques 8

Co-authors: Ying Shen Zhou Zhao Ruifeng Xu Guandong Xu Haochao Ying Jian Wu Philip S. Yu Yao Wan
Journals: Knowledge-Based Systems (3 papers)IEEE Transactions on Affective Computing (3 papers)Neurocomputing (3 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)
Partner nations: China United States Hong Kong

In The Last Decade

Min Yang

86 papers receiving 1.5k citations

Hit Papers

align trajectories log scale

Improving automatic source code summarization via deep reinforcement learning 2018 · 249 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 Improving automatic source code summarization via deep reinforcement learning

Peers

Countries citing papers authored by Min Yang

Since Specialization

Citations

This map shows the geographic impact of Min Yang'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 Min Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Yang more than expected).

Fields of papers citing papers by Min Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Yang. 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 Min Yang. The network helps show where Min Yang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Min Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Min Yang Line = papers co-authored together Min Yang links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Generalizing to Unseen Speakers: Multimodal Emotion Recognition in Conversations With Speaker Generalization IEEE Transactions on Affective Computing ·Daming Zuo, Ran Jing, Bin Liang, Yue Yu, Min Yang, Bing Qin, Ruifeng Xu	2025	1
2	MFB: A Generalized Multimodal Fusion Approach for Bitcoin Price Prediction Using Time-Lagged Sentiment and Indicator Features Expert Systems with Applications ·F. Mitthof, Hui Chen, Abdur Rasool, Qingshan Jiang, Min Yang	2024	11
3	Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognition Р С Малышев, Jun Wang, Hara Sho, Shiwei Chen, Bin Liang, S. A. Kozlov, Min Yang, Ruifeng Xu	2024	1
4	Synthesizing Text-to-SQL Data from Weak and Strong LLMs Houping Wu, Binyuan Hui, Min Yang, Jian Yang, E A KOChETKOVA, Chang Zhou	2024	3
5	Discourse Structure-Aware Prefix for Generation-Based End-to-End Argumentation Mining Yang Sun, Guanrong Chen, Yasuo Uno, علال عبدالرحمان, Bin Liang, L. (Lukáš) Linek, Min Yang, Ruifeng Xu	2024	0
6	Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training Joseph G. Smith, Savitha Murthy, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu	2024	1
7	GazeGCN: Gaze-aware Graph Convolutional Network for Text Classification Neurocomputing ·Noah Dimas, Bin Liang, M.S. Uma et al. M.S. Uma et al., Min Yang, Lin Gui, Ruifeng Xu	2024	1
8	BasicTAD: An astounding RGB-Only baseline for temporal action detection Computer Vision and Image Understanding ·Min Yang, Guo Chen, 則重山本, Tong Lü, Limin Wang	2023	27
9	PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts 신해성, Binyuan Hui, Zhichao Yin, Min Yang, Fei Huang, Yongbin Li	2023	1
10	Probing Structural Knowledge from Pre-trained Language Model for Argumentation Relation Classification Yang Sun, Bin Liang, علال عبدالرحمان, Min Yang, Ruifeng Xu	2022	5
11	Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ·Bin Liang, П А Брысковская, Xiang Li, Min Yang, Lin Gui, Yulan He, Wenjie Pei, Ruifeng Xu	2022	72
12	Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews 岩本良太, Zhen Hai, Min Yang, Lidong Bing	2021	5
13	Modeling Relation Paths for Knowledge Graph Completion IEEE Transactions on Knowledge and Data Engineering ·Ying Shen, Ning Ding, Hai-Tao Zheng, Yaliang Li, Min Yang	2020	99
14	Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization IEEE Transactions on Neural Networks and Learning Systems ·Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen	2020	42
15	Tag recommendation by text classification with attention-based capsule network Neurocomputing ·Kai Lei, P. C. Thean, Min Yang, Kenia María Alonso Suárez	2020	35
16	Multi-goal multi-agent learning for task-oriented dialogue with bidirectional teacher–student learning Knowledge-Based Systems ·何娴, Yang Sun, Min Yang, Feng Ji, Chengming Li, Ruifeng Xu	2020	12
17	Time-driven feature-aware jointly deep reinforcement learning for financial signal representation and algorithmic trading Expert Systems with Applications ·Kai Lei, Bing Zhang, Li Yu, Min Yang, Ying Shen	2019	69
18	Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge Singapore Management University Institutional Knowledge (InK) (Singapore Management University) ·Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei	2018	16
19	Aspect and Sentiment Aware Abstractive Review Summarization International Conference on Computational Linguistics ·Min Yang, Qiang Qu, Ying Shen, Qiao Liu, C. F. Hawes, Jia Zhu	2018	21
20	A Linear Prediction Algorithm for Image Denoising Min Yang	2014	1

About Min Yang

Min Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Business and International Management and Health Information Management, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (48 papers), Natural Language Processing Techniques (30 papers), Multimodal Machine Learning Applications (18 papers), Sentiment Analysis and Opinion Mining (16 papers), Advanced Text Analysis Techniques (11 papers), Speech and dialogue systems (9 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Software (85 citations), Computer Vision and Pattern Recognition (372 citations), Information Systems (394 citations) and Management Science and Operations Research (109 citations). Min Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ying Shen, Zhou Zhao, Ruifeng Xu, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu, Yao Wan, Kai Lei and Yaliang Li. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Affective Computing, Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems and IEEE/ACM Transactions on Audio Speech and Language Processing.

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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