Shizhu He

3.2k total citations · 2 hit papers
39 papers, 1.9k citations indexed

About

Shizhu He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Shizhu He has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Shizhu He's work include Topic Modeling (32 papers), Natural Language Processing Techniques (30 papers) and Multimodal Machine Learning Applications (9 papers). Shizhu He is often cited by papers focused on Topic Modeling (32 papers), Natural Language Processing Techniques (30 papers) and Multimodal Machine Learning Applications (9 papers). Shizhu He collaborates with scholars based in China, Germany and United Kingdom. Shizhu He's co-authors include Kang Liu, Jun Zhao, Qing‐Long Han, Siqi Sun, Jingping Liu, Tianyu Wu, Yang Tang, Xiangrong Zeng, Daojian Zeng and Yuanzhe Zhang and has published in prestigious journals such as Applied Sciences, Lecture notes in computer science and IEEE/CAA Journal of Automatica Sinica.

In The Last Decade

Shizhu He

35 papers receiving 1.8k 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.

A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development

2023 776 citations Shizhu He, Kang Liu et al. profile →
Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism

2018 299 citations Xiangrong Zeng, Daojian Zeng et al. profile →

Peers

Countries citing papers authored by Shizhu He

Since Specialization

Citations

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

Fields of papers citing papers by Shizhu He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shizhu He

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

20 of 20 papers shown

#	Work	Indexed citations
1	Seq2Set2Seq: A Two-stage Disentangled Method for Reply Keyword Generation in Social Media 2024 ·ACM Transactions on Asian and Low-Resource Language Information Processing ·(unknown), Yaguang Li, Shizhu He, (unknown), Kang Liu, (unknown), (unknown), (unknown)	1
2	DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models 2024 ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, (unknown)	1
3	Class Lifelong Learning for Intent Detection via Structure Consolidation Networks 2023 ·(unknown), Yanchao Hao, Xiaolong Liu, (unknown), Dianbo Sui, Shizhu He, Kang Liu, Jun Zhao, Xi Chen, Ningyu Zhang, Jiaoyan Chen	1
4	ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook 2023 ·(unknown), (unknown), Shizhu He, Jun Zhao, (unknown)	0
5	Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules 2023 ·Applied Sciences ·(unknown), Shizhu He, Kang Liu, Jun Zhao	2
6	Learning to Build Reasoning Chains by Reliable Path Retrieval 2023 ·(unknown), Yixuan Weng, Shizhu He, Cunguang Wang, Kang Liu, Li Cai, Jun Zhao	1
7	Efficient Data Learning for Open Information Extraction with Pre-trained Language Models 2023 ·(unknown), Shizhu He	1
8	MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs 2022 ·Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao	9
9	Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge 2022 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·(unknown), Jianxin Li, Hao Peng, Shizhu He, Lihong Wang, Philip S. Yu, Zheng Wang	8
10	Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing 2022 ·(unknown), Shizhu He, (unknown), (unknown), Jinlong Li, Jun Zhao, Kang Liu	1
11	Incremental Intent Detection for Medical Domain with Contrast Replay Networks 2022 ·Findings of the Association for Computational Linguistics: ACL 2022 ·(unknown), Shizhu He, Kang Liu, Jun Zhao	8
12	LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary 2022 ·(unknown), Yixuan Weng, Fei Xia, Shizhu He, Bin Sun, Shutao Li	0
13	ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains 2022 ·(unknown), Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao	3
14	Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning 2019 ·Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao	98
15	Pattern-revising Enhanced Simple Question Answering over Knowledge Bases 2018 ·International Conference on Computational Linguistics ·Yanchao Hao, Hao Liu, Shizhu He, Kang Liu, Jun Zhao	29
16	Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism breakdown → 2018 ·Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, Jun Zhao	299
17	An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge 2017 ·Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao	229
18	Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? 2017 ·(unknown), Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao	10
19	CASIA@V2: A MLN-based Question Answering System over Linked Data 2014 ·CLEF (Working Notes) ·Shizhu He, Yuanzhe Zhang, Kang Liu, Jun Zhao	22
20	CASIA@QALD-3: A Question Answering System over Linked Data 2013 ·CLEF (Working Notes) ·Shizhu He, Shulin Liu, Yubo Chen, Guangyou Zhou, Kang Liu, Jun Zhao	15

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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