Xiaodong He

41.4k total citations · 14 hit papers
199 papers, 18.9k citations indexed

About

Xiaodong He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Xiaodong He has authored 199 papers receiving a total of 18.9k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Artificial Intelligence, 68 papers in Computer Vision and Pattern Recognition and 32 papers in Signal Processing. Recurrent topics in Xiaodong He's work include Topic Modeling (110 papers), Natural Language Processing Techniques (87 papers) and Multimodal Machine Learning Applications (46 papers). Xiaodong He is often cited by papers focused on Topic Modeling (110 papers), Natural Language Processing Techniques (87 papers) and Multimodal Machine Learning Applications (46 papers). Xiaodong He collaborates with scholars based in United States, China and United Kingdom. Xiaodong He's co-authors include Li Deng, Zichao Yang, Alex Smola, Jianfeng Gao, Chris Dyer, Eduard Hovy, Diyi Yang, Mark Johnson, Damien Teney and Chris Buehler and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and IEEE Access.

In The Last Decade

Xiaodong He

192 papers receiving 18.0k citations

Hit Papers

5 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.

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

2018 3.0k citations Peter Anderson, Xiaodong He et al. profile →
Hierarchical Attention Networks for Document Classification

2016 2.9k citations Zichao Yang, Diyi Yang et al. profile →
Stacked Attention Networks for Image Question Answering

2016 1.2k citations Zichao Yang, Xiaodong He et al. profile →
Learning deep structured semantic models for web search using clickthrough data

2013 1.1k citations Xiaodong He, Jianfeng Gao et al. profile →
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

2018 1.0k citations Qiuyuan Huang, Zhe Gan et al. profile →
From captions to visual concepts and back

2015 774 citations Li Deng, Jianfeng Gao et al. profile →
Recent advances in deep learning for speech research at Microsoft

2013 510 citations Li Deng, Xiaodong He et al. profile →
A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems

2015 465 citations Xiaodong He et al. profile →
Learning semantic representations using convolutional neural networks for web search

2014 419 citations Yelong Shen, Xiaodong He et al. profile →
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

2015 418 citations Xiaodong He, Jianfeng Gao et al. profile →
A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval

2014 401 citations Yelong Shen, Xiaodong He et al. profile →
From Eliza to XiaoIce: challenges and opportunities with social chatbots

2018 384 citations Heung‐Yeung Shum, Xiaodong He et al. Frontiers of Information Technology & Electronic Engineering profile →
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

2016 340 citations Xiaodong He et al. profile →
Multimodal Intelligence: Representation Learning, Information Fusion, and Applications

2020 292 citations Zichao Yang, Xiaodong He et al. profile →

Peers

Countries citing papers authored by Xiaodong He

Since Specialization

Citations

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

Fields of papers citing papers by Xiaodong He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodong He

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong He. A scholar is included among the top collaborators of Xiaodong 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 Xiaodong He. Xiaodong 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	A data-driven workflow for prediction of fracturing parameters with machine learning 2024 ·Thermal Science ·(unknown), (unknown), Kun Ding, Tianyu Wang, Xiaodong He, Shouceng Tian	0
2	RevCore: Review-Augmented Conversational Recommendation 2021 ·Lu Yu, Junwei Bao, Yan Song, (unknown), Shuguang Cui, Youzheng Wu, Xiaodong He	36
3	Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product 2020 ·(unknown), Yue Wang, Haoran Li, Youzheng Wu, Xiaodong He, Bowen Zhou	24
4	Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding 2020 ·Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou	55
5	Multimodal Sentence Summarization via Multimodal Selective Encoding 2020 ·Haoran Li, Junnan Zhu, Jiajun Zhang, Xiaodong He, Chengqing Zong	26
6	Deep Speaker Embedding Learning with Multi-level Pooling for Text-independent Speaker Verification 2019 ·Yun Tang, (unknown), Jing Huang, Xiaodong He, Bowen Zhou	42
7	From Eliza to XiaoIce: challenges and opportunities with social chatbots breakdown → 2018 ·Frontiers of Information Technology & Electronic Engineering ·Heung‐Yeung Shum, Xiaodong He, Di Li	384
8	A Neural-Symbolic Approach to Natural Language Tasks. 2017 ·arXiv (Cornell University) ·Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Wu	2
9	Deep Learning of Grammatically-Interpretable Representations Through Question-Answering. 2017 ·arXiv (Cornell University) ·Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng	6
10	Grammatically-Interpretable Learned Representations in Deep NLP Models 2017 ·Neural Information Processing Systems ·Hamid Palangi, Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng	1
11	Bottom-Up and Top-Down Attention for Image Captioning and VQA. 2017 ·arXiv (Cornell University) ·Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Jay Gould, Lei Zhang	144
12	Hierarchical Attention Networks for Document Classification breakdown → 2016 ·Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, Eduard Hovy	2941
13	Unsupervised Learning of Sentence Representations using Convolutional Neural Networks 2016 ·arXiv (Cornell University) ·Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin	3
14	Learning Bidirectional Intent Embeddings by Convolutional Deep Structured Semantic Models for Spoken Language Understanding 2015 ·Neural Information Processing Systems ·Yun-Nung Chen, Dilek Hakkani‐Tür, Xiaodong He	2
15	End-to-end learning of LDA by mirror-descent back propagation over a deep architecture 2015 ·Neural Information Processing Systems ·Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng	11
16	Deep Reinforcement Learning with an Unbounded Action Space. 2015 ·arXiv (Cornell University) ·Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf	3
17	Deep Learning for Natural Language Processing: Theory and Practice (Tutorial) 2014 ·Xiaodong He, Jianfeng Gao, Li Deng	3
18	Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding 2012 ·RWTH Publications (RWTH Aachen) ·Antti-Veikko Rosti, Xiaodong He, Damianos Karakos, Gregor Leusch, Yuan Cao, Markus Freitag, Spyros Matsoukas, Hermann Ney, Jason Smith, Bing Zhang	3
19	Domain Adaptation via Pseudo In-Domain Data Selection 2011 ·Empirical Methods in Natural Language Processing ·Amittai Axelrod, Xiaodong He, Jianfeng Gao	288
20	The MSR SYSTEM for IWSLT 2011 evaluation. 2011 ·IWSLT ·Xiaodong He, Amittai Axelrod, Li Deng, Alex Acero, Mei-Yuh Hwang, (unknown), Andrew Wang, (unknown)	3

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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