Yichen Zhu

1.0k total citations · 1 hit paper
19 papers, 546 citations indexed

About

Yichen Zhu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yichen Zhu has authored 19 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Yichen Zhu's work include Software System Performance and Reliability (4 papers), Advanced Neural Network Applications (3 papers) and Multimodal Machine Learning Applications (3 papers). Yichen Zhu is often cited by papers focused on Software System Performance and Reliability (4 papers), Advanced Neural Network Applications (3 papers) and Multimodal Machine Learning Applications (3 papers). Yichen Zhu collaborates with scholars based in China, United States and Canada. Yichen Zhu's co-authors include Weibin Meng, Shimin Tao, Ying Liu, Rong Zhou, Yihao Chen, Ruizhi Zhang, Dan Pei, Shenglin Zhang, Yuqing Liu and Pei Sun and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Access and Joule.

In The Last Decade

Yichen Zhu

18 papers receiving 537 citations

Hit Papers

align trajectories

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.

LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs

2019 354 citations Weibin Meng, Ying Liu et al. profile →

Peers

Yichen Zhu

CNC

AI

IS

SOFTW

CVPR

Yuzhi Zhang China

Chaozheng Wang China

Husheng Zhou United States

Ke He China

Lifa Wu China

Jeevana Priya Inala United States

Xuchu Ding United States

Haowen Xu China

Bong Jun Ko United States

Stefan Kugele Germany

Yuzhi Zhang China

Yichen Zhu

297 ×0.8

CNC

194 ×0.6

AI

113 ×1.0

IS

49 ×0.6

SOFTW

12 ×0.2

CVPR

Citations per year, relative to Yichen Zhu Yichen Zhu (= 1×) peers Yuzhi Zhang

Countries citing papers authored by Yichen Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Yichen Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yichen Zhu

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

All Works

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

19 of 19 papers shown

1.

Zhu, Yichen, Jinming Li, Ning Liu, et al.. (2025). TinyVLA: Toward Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation. IEEE Robotics and Automation Letters. 10(4). 3988–3995. 11 indexed citations

2.

Zhu, Yichen, Ning Liu, Weibin Meng, et al.. (2025). ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model. 5377–5395. 1 indexed citations

3.

Lu, Yantao, Shiqi Sun, Ning Liu, et al.. (2025). LaTP: LiDAR-aided multimodal token pruning for efficient trajectory prediction of autonomous driving. Neural Networks. 190. 107673–107673.

4.

Cheng, Jinxuan, Wenhua Xue, Xiaofang Li, et al.. (2025). A universal approach to high-performance thermoelectric module design for power generation. Joule. 9(4). 101818–101818. 6 indexed citations

5.

Cheng, Jinxuan, Wenhua Xue, Xiaofang Li, et al.. (2025). A universal approach to high-performance thermoelectric module design for power generation. Joule. 9(4). 101925–101925. 5 indexed citations

6.

Zhu, Yichen, et al.. (2025). A Comprehensive Overhaul of Multimodal Assistant with Small Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 39(10). 10986–10994. 1 indexed citations

7.

Zhu, Yichen, Jinming Li, Ning Liu, et al.. (2025). Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation. 10838–10845. 1 indexed citations

8.

Zhu, Yichen, et al.. (2024). LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model. 18–22. 21 indexed citations

9.

Feng, Weijia, Yichen Zhu, Chenyang Wang, et al.. (2024). Exploring Collaborative Diffusion Model Inferring for AIGC-Enabled Edge Services. IEEE Transactions on Cognitive Communications and Networking. 11(2). 946–960. 2 indexed citations

10.

Tao, Shimin, Yilun Liu, Weibin Meng, et al.. (2023). Biglog: Unsupervised Large-scale Pre-training for a Unified Log Representation. 1–11. 7 indexed citations

11.

Zhu, Yichen, Dongze Lian, Renrui Zhang, et al.. (2023). Revisiting Event-Based Video Frame Interpolation. The HKU Scholars Hub (University of Hong Kong). 1292–1299. 2 indexed citations

12.

Zhu, Yichen, et al.. (2023). ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector. 19723–19733. 23 indexed citations

13.

Zhu, Yichen, et al.. (2022). BNNAS++: Towards Unbiased Neural Architecture Search With Batch Normalization. IEEE Access. 10. 128424–128432. 1 indexed citations

14.

Tao, Shimin, Weibin Meng, Yichen Zhu, et al.. (2022). LogStamp. ACM SIGMETRICS Performance Evaluation Review. 49(4). 93–98. 25 indexed citations

15.

Zhu, Yichen, Cheng Li, & David B. Dunson. (2021). Classification Trees for Imbalanced Data: Surface-to-Volume Regularization. Journal of the American Statistical Association. 118(543). 1707–1717. 3 indexed citations

16.

Zhu, Yichen & Yi Wang. (2021). Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 5037–5046. 44 indexed citations

17.

Meng, Weibin, Ying Liu, Shenglin Zhang, et al.. (2020). LogParse: Making Log Parsing Adaptive through Word Classification. 1–9. 35 indexed citations

18.

Meng, Weibin, Ying Liu, Yichen Zhu, et al.. (2019). LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs. 4739–4745. 354 indexed citations breakdown →

19.

Xie, Pengtao, Hongbao Zhang, Yichen Zhu, & Eric P. Xing. (2018). Nonoverlap-Promoting Variable Selection. International Conference on Machine Learning. 5413–5422. 4 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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