Zhixuan Chu

950 total citations · 1 hit paper
18 papers, 373 citations indexed

About

Zhixuan Chu is a scholar working on Artificial Intelligence, Statistics and Probability and Information Systems. According to data from OpenAlex, Zhixuan Chu has authored 18 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 2 papers in Information Systems. Recurrent topics in Zhixuan Chu's work include Topic Modeling (4 papers), Advanced Causal Inference Techniques (4 papers) and Natural Language Processing Techniques (4 papers). Zhixuan Chu is often cited by papers focused on Topic Modeling (4 papers), Advanced Causal Inference Techniques (4 papers) and Natural Language Processing Techniques (4 papers). Zhixuan Chu collaborates with scholars based in United States and China. Zhixuan Chu's co-authors include Sheng Li, Liuyi Yao, Yaliang Li, Aidong Zhang, Jing Gao, Peng Cui, Zheyan Shen, Jing Gao, Chenyi Zhuang and Ruihua Song and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, ACM Transactions on Knowledge Discovery from Data and Measurement in Physical Education and Exercise Science.

In The Last Decade

Zhixuan Chu

16 papers receiving 356 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.

A Survey on Causal Inference

2021 257 citations Liuyi Yao, Zhixuan Chu et al. ACM Transactions on Knowledge Discovery from Data profile →

Peers

Zhixuan Chu

AI

IS

SP

MSOR

CVPR

Liuyi Yao United States

Mansooreh Karami United States

Zahid Khan Pakistan

Dipankar Ray India

James Jordon United Kingdom

Abu Sayed Md. Latiful Hoque Bangladesh

Shayak Sen United States

Andrés R. Masegosa Spain

Nayyar A. Zaidi Australia

Azizul Azhar Ramli Malaysia

Liuyi Yao United States

Zhixuan Chu

377 ×2.0

AI

93 ×1.2

IS

110 ×1.9

SP

50 ×1.3

MSOR

47 ×1.7

CVPR

Citations per year, relative to Zhixuan Chu Zhixuan Chu (= 1×) peers Liuyi Yao

Countries citing papers authored by Zhixuan Chu

Since Specialization

Citations

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

Fields of papers citing papers by Zhixuan Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhixuan Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhixuan Chu. A scholar is included among the top collaborators of Zhixuan Chu 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 Zhixuan Chu. Zhixuan Chu 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:

18 of 18 papers shown

1.

Xu, Zian, Wenqing Chen, Yi Tang, et al.. (2025). Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework. Proceedings of the AAAI Conference on Artificial Intelligence. 39(24). 25579–25587.

2.

Wang, Yan, Zhixuan Chu, Jinjie Gu, et al.. (2024). LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19189–19196. 12 indexed citations

3.

Chen, Wenqing, et al.. (2024). Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models. CityU Scholars. 14162–14167.

4.

Chu, Zhixuan, et al.. (2024). A Causal Explainable Guardrails for Large Language Models. 1136–1150. 2 indexed citations

5.

Sui, Yongduo, Zhixuan Chu, Yuan Gao, et al.. (2024). Invariant Graph Learning for Causal Effect Estimation. 2552–2562. 3 indexed citations

6.

Chu, Zhixuan, et al.. (2024). Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11642–11650. 1 indexed citations

7.

Chu, Zhixuan, et al.. (2024). Intelligent Agents with LLM-based Process Automation. 5018–5027. 12 indexed citations

8.

Wang, Yan, Zhixuan Chu, Tao Zhou, et al.. (2024). Enhancing Event Sequence Modeling with Contrastive Relational Inference. 6145–6149. 1 indexed citations

9.

Zhu, Ronghang, et al.. (2024). A Survey of Trustworthy Representation Learning Across Domains. ACM Transactions on Knowledge Discovery from Data. 18(7). 1–53. 2 indexed citations

10.

Chen, Zhichao, et al.. (2023). Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach. 3783–3787. 6 indexed citations

11.

Chu, Zhixuan, et al.. (2023). pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting. 4684–4692. 3 indexed citations

12.

Chu, Zhixuan, Ruopeng Li, Stephen L. Rathbun, & Sheng Li. (2023). Continual Causal Inference with Incremental Observational Data. 3430–3439. 5 indexed citations

13.

Boudreaux, Benjamin D., et al.. (2022). Effectiveness of Fitbit Activity Prompts in Reducing Sitting Time and Increasing Physical Activity in University Employees: A Randomized Controlled Trial. Journal for the Measurement of Physical Behaviour. 5(3). 178–184. 1 indexed citations

14.

Chu, Zhixuan, et al.. (2022). Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 3043–3051. 1 indexed citations

15.

Schmidt, Michael D., Stephen L. Rathbun, Zhixuan Chu, et al.. (2022). Agreement between Fitbit and ActiGraph Estimates of Physical Activity in Young Children. Measurement in Physical Education and Exercise Science. 27(2). 171–180. 4 indexed citations

16.

Yao, Liuyi, Zhixuan Chu, Sheng Li, et al.. (2021). A Survey on Causal Inference. ACM Transactions on Knowledge Discovery from Data. 15(5). 1–46. 257 indexed citations breakdown →

17.

Chu, Zhixuan, et al.. (2021). Knowledge-Guided Article Embedding Refinement for Session-Based News Recommendation. IEEE Transactions on Neural Networks and Learning Systems. 33(12). 7921–7927. 34 indexed citations

18.

Cui, Peng, Zheyan Shen, Sheng Li, et al.. (2020). Causal Inference Meets Machine Learning. 3527–3528. 29 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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