Haoyi Zhou

6.6k total citations · 1 hit paper
35 papers, 3.3k citations indexed

About

Haoyi Zhou is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haoyi Zhou has authored 35 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haoyi Zhou's work include Time Series Analysis and Forecasting (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Topic Modeling (4 papers). Haoyi Zhou is often cited by papers focused on Time Series Analysis and Forecasting (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Topic Modeling (4 papers). Haoyi Zhou collaborates with scholars based in China, United States and Hong Kong. Haoyi Zhou's co-authors include Shuai Zhang, Shanghang Zhang, Jianxin Li, Hui Xiong, Wancai Zhang, Jianxin Li, Shaohan Huang, Dong Li, Binxing Jiao and Furu Wei and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Green Chemistry and Expert Systems with Applications.

In The Last Decade

Haoyi Zhou

30 papers receiving 3.2k citations

Hit Papers

Informer: Beyond Efficient Transformer for Long Sequence ... 2021 2026 2022 2024 2021 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
    2021 3.0k citations Haoyi Zhou, Shanghang Zhang et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haoyi Zhou China 8 1.1k 876 819 633 420 35 3.3k
Wancai Zhang China 5 1.0k 0.9× 857 1.0× 799 1.0× 623 1.0× 410 1.0× 12 3.2k
Jianxin Li China 14 1.2k 1.1× 965 1.1× 847 1.0× 634 1.0× 507 1.2× 50 3.7k
Shanghang Zhang China 21 1.9k 1.8× 946 1.1× 972 1.2× 650 1.0× 446 1.1× 86 4.8k
Alicia Troncoso Spain 28 992 0.9× 411 0.5× 1.3k 1.5× 666 1.1× 266 0.6× 108 3.0k
Yuxuan Liang China 27 796 0.7× 605 0.7× 518 0.6× 178 0.3× 1.2k 2.7× 130 3.1k
Qingsong Wen United States 21 825 0.8× 646 0.7× 531 0.6× 291 0.5× 200 0.5× 108 2.1k
Lhassane Idoumghar France 18 1.4k 1.2× 1.1k 1.3× 495 0.6× 218 0.3× 125 0.3× 118 3.2k
Weiwei Jiang China 28 691 0.6× 330 0.4× 650 0.8× 390 0.6× 764 1.8× 153 3.3k

Countries citing papers authored by Haoyi Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Haoyi Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoyi Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Haoyi Zhou. A scholar is included among the top collaborators of Haoyi Zhou 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 Haoyi Zhou. Haoyi Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Shuo, et al.. (2025). HiViT: Hierarchical attention-based Transformer for multi-scale whole slide histopathological image classification. Expert Systems with Applications. 277. 127164–127164. 1 indexed citations
2.
Zhou, Haoyi, et al.. (2025). Ionformer: A Data-Driven Deep Learning Baseline for Global Ionospheric TEC Forecasting. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12.
3.
Sun, Qingyun, et al.. (2025). A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models. International Journal of Machine Learning and Cybernetics. 16(7-8). 4407–4432. 1 indexed citations
4.
5.
Zhou, Haoyi, et al.. (2024). PE-Attack: On the Universal Positional Embedding Vulnerability in Transformer-Based Models. IEEE Transactions on Information Forensics and Security. 19. 9359–9373. 1 indexed citations
6.
7.
Wang, Zhenghong, Sijie Ruan, Tianqiang Huang, et al.. (2024). A lightweight multi-layer perceptron for efficient multivariate time series forecasting. Knowledge-Based Systems. 288. 111463–111463. 20 indexed citations
8.
Zhou, Haoyi, et al.. (2024). Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 17202–17210. 3 indexed citations
9.
Yuan, Zixuan, Hao Liu, Haoyi Zhou, et al.. (2024). Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 16623–16632. 1 indexed citations
10.
Yuan, Zixuan, et al.. (2023). LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading. IEEE Transactions on Knowledge and Data Engineering. 1–13. 1 indexed citations
11.
Zhou, Haoyi, et al.. (2023). Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning. 3181–3192. 6 indexed citations
12.
Zhou, Haoyi, et al.. (2023). Expanding the prediction capacity in long sequence time-series forecasting. Artificial Intelligence. 318. 103886–103886. 45 indexed citations
13.
Li, Huan, et al.. (2023). Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning. Medical & Biological Engineering & Computing. 61(6). 1565–1580. 24 indexed citations
14.
Zhou, Haoyi, et al.. (2023). Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution. 4693–4701. 2 indexed citations
15.
Lei, Jie, Yong Ding, Haoyi Zhou, et al.. (2022). Practical synthesis of quinolone drugs via a novel TsCl-mediated domino reaction sequence. Green Chemistry. 24(15). 5755–5759. 10 indexed citations
16.
Zhou, Haoyi, Shanghang Zhang, Shuai Zhang, et al.. (2021). Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 11106–11115. 3047 indexed citations breakdown →
17.
Zhou, Haoyi, et al.. (2021). POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling. ACM Transactions on Intelligent Systems and Technology. 12(6). 1–24. 5 indexed citations
18.
Zhou, Haoyi, et al.. (2021). Triplet Attention. 2378–2388. 6 indexed citations
19.
Zhang, Shuai, Haoyi Zhou, Feng Chen, & Jianxin Li. (2020). A Bisubmodular Approach to Event Detection and Prediction in Multivariate Social Graphs. IEEE Transactions on Computational Social Systems. 8(1). 161–170. 1 indexed citations
20.
Li, Jianxin, Haoyi Zhou, Pengtao Xie, & Yingchun Zhang. (2017). Improving the Generalization Performance of Multi-class SVM via Angular Regularization. 2131–2137. 5 indexed citations

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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