Wangchunshu Zhou

1.2k total citations
37 papers, 476 citations indexed

About

Wangchunshu Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Wangchunshu Zhou has authored 37 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Wangchunshu Zhou's work include Topic Modeling (26 papers), Natural Language Processing Techniques (20 papers) and Multimodal Machine Learning Applications (11 papers). Wangchunshu Zhou is often cited by papers focused on Topic Modeling (26 papers), Natural Language Processing Techniques (20 papers) and Multimodal Machine Learning Applications (11 papers). Wangchunshu Zhou collaborates with scholars based in China, United States and Switzerland. Wangchunshu Zhou's co-authors include Tao Ge, Furu Wei, Canwen Xu, Ming Zhou, Ke Xu, Julian McAuley, Ke Xu, Ming Zhou, Xinsong Zhang and Siyu Lu and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Engineering Applications of Artificial Intelligence.

In The Last Decade

Wangchunshu Zhou

34 papers receiving 458 citations

Peers

Countries citing papers authored by Wangchunshu Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Wangchunshu Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wangchunshu Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Wangchunshu Zhou. A scholar is included among the top collaborators of Wangchunshu 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 Wangchunshu Zhou. Wangchunshu Zhou 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	Risks of AI scientists: prioritizing safeguarding over autonomy 2025 ·Nature Communications ·Xiangru Tang, Qiao Jin, (unknown), (unknown), Yichi Zhang, Wangchunshu Zhou, (unknown), (unknown), J. Tang, Zhuosheng Zhang, Arman Cohan, Dov Greenbaum, Zhiyong Lu, Mark Gerstein	5
2	LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild 2024 ·(unknown), (unknown), Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu	2
3	RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models 2024 ·(unknown), (unknown), (unknown), Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, (unknown), (unknown), (unknown), Jian Yang, (unknown), Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Jie Fu, Junran Peng	22
4	AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning 2024 ·Shuofei Qiao, Ningyu Zhang, (unknown), (unknown), Wangchunshu Zhou, Jun Chen, (unknown), Huajun Chen	12
5	Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? 2024 ·Xiangru Tang, (unknown), Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein	2
6	MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications 2024 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Xiangru Tang, Chunyuan Deng, (unknown), Haoran Wang, Yilun Zhao, (unknown), Yi R. Fung, Wangchunshu Zhou, (unknown), Heng Ji, Arman Cohan, Mark Gerstein	0
7	Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training 2023 ·Repository for Publications and Research Data (ETH Zurich) ·(unknown), Wangchunshu Zhou, (unknown), (unknown), Xinsong Zhang	14
8	Scaling-up medical vision-and-language representation learning with federated learning 2023 ·Engineering Applications of Artificial Intelligence ·Siyu Lu, (unknown), Tianlin Liu, Wangchunshu Zhou	32
9	Commonsense Knowledge Transfer for Pre-trained Language Models 2023 ·Wangchunshu Zhou, Ronan Le Bras, Yejin Choi	2
10	Poor Man’s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference 2023 ·(unknown), Shehzaad Dhuliawala, Wangchunshu Zhou, (unknown), Tom Kocmi, (unknown), Mrinmaya Sachan	2
11	Evaluating Large Language Models on Controlled Generation Tasks 2023 ·Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, (unknown), Rahul Gupta, John Wieting, Nanyun Peng, Xuezhe Ma	4
12	Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models 2023 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Wangchunshu Zhou, Mrinmaya Sachan	3
13	Learning to Predict Persona Information for Dialogue Personalization without Explicit Persona Description 2023 ·Wangchunshu Zhou, (unknown), (unknown)	1
14	BERT Learns to Teach: Knowledge Distillation with Meta Learning 2022 ·Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ·Wangchunshu Zhou, Canwen Xu, Julian McAuley	36
15	Efficiently Tuned Parameters Are Task Embeddings 2022 ·Wangchunshu Zhou, Canwen Xu, Julian McAuley	1
16	Pre-training Text-to-Text Transformers for Concept-centric Common Sense 2021 ·arXiv (Cornell University) ·Wangchunshu Zhou, Dong‐Ho Lee, (unknown), Seyeon Lee, Xiang Ren	30
17	Improving Grammatical Error Correction with Machine Translation Pairs 2020 ·Wangchunshu Zhou, Tao Ge, (unknown), Ke Xu, Furu Wei, Ming Zhou	22
18	BERT-of-Theseus: Compressing BERT by Progressive Module Replacing 2020 ·Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou	100
19	Towards Interpretable Natural Language Understanding with Explanations as Latent Variables 2020 ·arXiv (Cornell University) ·Wangchunshu Zhou, (unknown), Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang	1
20	BERT-based Lexical Substitution 2019 ·Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou	48

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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