Xiaozhi Wang

2.6k total citations · 2 hit papers
31 papers, 1.2k citations indexed

About

Xiaozhi Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xiaozhi Wang has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Xiaozhi Wang's work include Topic Modeling (22 papers), Natural Language Processing Techniques (19 papers) and Multimodal Machine Learning Applications (8 papers). Xiaozhi Wang is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (19 papers) and Multimodal Machine Learning Applications (8 papers). Xiaozhi Wang collaborates with scholars based in China, United States and Sweden. Xiaozhi Wang's co-authors include Zhiyuan Liu, Juanzi Li, Maosong Sun, Zhengyan Zhang, Jian Tang, Zhaocheng Zhu, Tianyu Gao, Xu Han, Peng Li and Yujia Qin and has published in prestigious journals such as Advanced Science, Heliyon and Nature Machine Intelligence.

In The Last Decade

Xiaozhi Wang

24 papers receiving 1.2k 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.

Parameter-efficient fine-tuning of large-scale pre-trained language models

2023 420 citations Ning Ding, Yujia Qin et al. Nature Machine Intelligence profile →
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

2021 346 citations Xiaozhi Wang, Zhengyan Zhang et al. Transactions of the Association for Computational Linguistics profile →

Peers

Countries citing papers authored by Xiaozhi Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaozhi Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaozhi Wang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Controlled Photocatalytic Reduction of CO ₂ by Precise Atomic‐Level Interface Modification and Engineering of Silver Nanoclusters 2025 ·Advanced Science ·(unknown), (unknown), Ganghua Zhou, (unknown), Fucai Liu, Weiyi Jiang, Bin Wang, Xingwang Zhu, Paul K. Chu, Xiaozhi Wang	0
2	ADELIE: Aligning Large Language Models on Information Extraction 2024 ·(unknown), Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li	1
3	R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models 2024 ·arXiv (Cornell University) ·(unknown), (unknown), Jifan Yu, (unknown), (unknown), Xiaozhi Wang, (unknown), Lei Hou, Juanzi Li	0
4	Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning 2024 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·Yujia Qin, Xiaozhi Wang, Yusheng Su, Yankai Lin, Ning Ding, (unknown), Weize Chen, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou	2
5	An AI recognition method for children's clinical operative pain by skin potential (SP) signal 2024 ·Heliyon ·(unknown), (unknown), (unknown), (unknown), Xiaozhi Wang, Jikui Luo, Bin Wu, (unknown), Shaohua Hu, (unknown), Yubo Li	1
6	OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding 2023 ·(unknown), Xiaozhi Wang, (unknown), (unknown), (unknown), (unknown), Lei Hou, Juanzi Li	0
7	GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation 2023 ·(unknown), Jifan Yu, (unknown), (unknown), (unknown), (unknown), Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li, Jie Tang	9
8	Sub-Character Tokenization for Chinese Pretrained Language Models 2023 ·Transactions of the Association for Computational Linguistics ·Chenglei Si, Zhengyan Zhang, (unknown), Fanchao Qi, Xiaozhi Wang, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun	7
9	Parameter-efficient fine-tuning of large-scale pre-trained language models breakdown → 2023 ·Nature Machine Intelligence ·Ning Ding, Yujia Qin, Guang Yang, (unknown), Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, (unknown), Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun	420
10	Emergent Modularity in Pre-trained Transformers 2023 ·Zhengyan Zhang, (unknown), Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou	2
11	Finding Skill Neurons in Pre-trained Transformer-based Language Models 2022 ·Xiaozhi Wang, (unknown), Zhengyan Zhang, Lei Hou, Zhiyuan Liu, Juanzi Li	7
12	On Transferability of Prompt Tuning for Natural Language Processing 2022 ·Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Yusheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Huadong Wang, (unknown), Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou	37
13	COPEN: Probing Conceptual Knowledge in Pre-trained Language Models 2022 ·Hao Peng, Xiaozhi Wang, Shengding Hu, Hailong Jin, Lei Hou, Juanzi Li, Zhiyuan Liu, Qun Liu	8
14	CLEVE: Contrastive Pre-training for Event Extraction 2021 ·Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou	68
15	Neural Gibbs Sampling for Joint Event Argument Extraction 2020 ·Xiaozhi Wang, (unknown), Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Jie Zhou	2
16	Train No Evil: Selective Masking for Task-Guided Pre-Training 2020 ·Yuxian Gu, Zhengyan Zhang, Xiaozhi Wang, Zhiyuan Liu, Maosong Sun	23
17	MAVEN: A Massive General Domain Event Detection Dataset 2020 ·Xiaozhi Wang, Ziqi Wang, Xu Han, (unknown), (unknown), Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou	81
18	Adversarial Training for Weakly Supervised Event Detection 2019 ·Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li	92
19	Adversarial Multi-lingual Neural Relation Extraction 2018 ·International Conference on Computational Linguistics ·Xiaozhi Wang, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun	25
20	UNIVERSAL KRIGING IN GEOCHEMICAL DATA PROCESSING 2009 ·Xiaozhi Wang	1

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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