Xipeng Qiu

17.9k total citations · 4 hit papers
194 papers, 6.1k citations indexed

About

Xipeng Qiu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xipeng Qiu has authored 194 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Artificial Intelligence, 48 papers in Computer Vision and Pattern Recognition and 14 papers in Information Systems. Recurrent topics in Xipeng Qiu's work include Topic Modeling (144 papers), Natural Language Processing Techniques (111 papers) and Multimodal Machine Learning Applications (28 papers). Xipeng Qiu is often cited by papers focused on Topic Modeling (144 papers), Natural Language Processing Techniques (111 papers) and Multimodal Machine Learning Applications (28 papers). Xipeng Qiu collaborates with scholars based in China, United States and United Kingdom. Xipeng Qiu's co-authors include Xuanjing Huang, Pengfei Liu, Tianxiang Sun, Yunfan Shao, Hang Yan, Yige Xu, Ning Dai, Qipeng Guo, Linyang Li and Xinchi Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Information Sciences and Neurocomputing.

In The Last Decade

Xipeng Qiu

178 papers receiving 5.8k 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.

Pre-trained models for natural language processing: A survey

2020 922 citations Xipeng Qiu, Tianxiang Sun et al. profile →
Adversarial Multi-task Learning for Text Classification

2017 393 citations Pengfei Liu, Xipeng Qiu et al. profile →
BERT-ATTACK: Adversarial Attack Against BERT Using BERT

2020 306 citations Linyang Li, Ruotian Ma et al. profile →
FLAT: Chinese NER Using Flat-Lattice Transformer

2020 241 citations Xiaonan Li, Hang Yan et al. profile →

Peers

Countries citing papers authored by Xipeng Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Xipeng Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xipeng Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Xipeng Qiu. A scholar is included among the top collaborators of Xipeng Qiu 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 Xipeng Qiu. Xipeng Qiu 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	Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities? 2025 ·(unknown), Qinyuan Cheng, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu	1
2	Deep learning prediction of glycopeptide tandem mass spectra powers glycoproteomics 2024 ·Nature Machine Intelligence ·(unknown), Yuxin Wang, Xipeng Qiu, Xuanjing Huang, Liang Qiao	8
3	Explicit Memory Learning with Expectation Maximization 2024 ·Zhangyue Yin, (unknown), Qipeng Guo, (unknown), Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang	1
4	Balanced Data Sampling for Language Model Training with Clustering 2024 ·Yunfan Shao, Linyang Li, (unknown), Hang Yan, Dahua Lin, Xipeng Qiu	0
5	Identifying Semantic Induction Heads to Understand In-Context Learning 2024 ·Jie Ren, Qipeng Guo, Hang Yan, (unknown), Quanshi Zhang, Xipeng Qiu, Dahua Lin	1
6	Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder 2024 ·(unknown), Zhenxi Song, (unknown), Xipeng Qiu, Min Zhang, Zhiguo Zhang	1
7	AdaLomo: Low-memory Optimization with Adaptive Learning Rate 2024 ·Kai Lv, Hang Yan, Qipeng Guo, Haijun Lv, Xipeng Qiu	4
8	Unified Active Retrieval for Retrieval Augmented Generation 2024 ·(unknown), Xiaonan Li, (unknown), (unknown), Zhangyue Yin, Yunfan Shao, Linyang Li, (unknown), Hang Yan, Xipeng Qiu	2
9	Full Parameter Fine-tuning for Large Language Models with Limited Resources 2024 ·(unknown), Yuqing Yang, Tengxiao Liu, Qipeng Guo, Xipeng Qiu	34
10	An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition 2023 ·Hang Yan, Yu Sun, Xiaonan Li, Xipeng Qiu	20
11	Competition for gradient-free tuning of large language models: approaches, results, current challenges and future directions 2023 ·National Science Review ·(unknown), (unknown), (unknown), Tianxiang Sun, Zhengfu He, Xipeng Qiu, Xing Xu, Hai Zhang	0
12	Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication 2023 ·Zhangyue Yin, (unknown), Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, Xipeng Qiu	3
13	CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors 2023 ·Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu	21
14	Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification 2023 ·Yunhua Zhou, Jianqiang Yang, (unknown), Xipeng Qiu	2
15	BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation 2022 ·Tianxiang Sun, (unknown), Xipeng Qiu, Xuanjing Huang	14
16	Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation 2022 ·Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan	5
17	Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Linyang Li, (unknown), Xiaonan Li, Jiehang Zeng, Ruotian Ma, Xipeng Qiu	52
18	CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems 2020 ·Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang	14
19	Adversarial Multi-task Learning for Text Classification breakdown → 2017 ·Pengfei Liu, Xipeng Qiu, Xuanjing Huang	393
20	Long Short-Term Memory Neural Networks for Chinese Word Segmentation 2015 ·Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Pengfei Liu, Xuanjing Huang	152

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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