Shaohan Huang

3.9k total citations
60 papers, 1.6k citations indexed

About

Shaohan Huang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Shaohan Huang has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 10 papers in Information Systems. Recurrent topics in Shaohan Huang's work include Topic Modeling (26 papers), Natural Language Processing Techniques (25 papers) and Anomaly Detection Techniques and Applications (12 papers). Shaohan Huang is often cited by papers focused on Topic Modeling (26 papers), Natural Language Processing Techniques (25 papers) and Anomaly Detection Techniques and Applications (12 papers). Shaohan Huang collaborates with scholars based in China, United States and United Kingdom. Shaohan Huang's co-authors include Furu Wei, Ming Zhou, Li Dong, Zhongzhi Luan, Carol Fung, Nan Yang, Hailong Yang, Qingyu Zhou, Tiejun Zhao and Chaoqun Duan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of the Mechanics and Physics of Solids and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Shaohan Huang

53 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shaohan Huang China 21 1.3k 327 269 252 77 60 1.6k
Palash Goyal United States 8 1.1k 0.8× 226 0.7× 197 0.7× 329 1.3× 88 1.1× 30 1.6k
Yanfang Ye United States 15 942 0.7× 211 0.6× 157 0.6× 473 1.9× 87 1.1× 66 1.3k
Wei Ye China 13 756 0.6× 155 0.5× 181 0.7× 237 0.9× 120 1.6× 41 1.4k
Jan Wielemaker Netherlands 16 662 0.5× 301 0.9× 164 0.6× 290 1.2× 107 1.4× 53 1.0k
Mark Carman Australia 19 1.1k 0.8× 251 0.8× 142 0.5× 537 2.1× 119 1.5× 79 1.6k
Xingcheng Yao China 2 1.1k 0.9× 322 1.0× 60 0.2× 223 0.9× 77 1.0× 3 1.4k
Bolun Wang United States 13 879 0.7× 246 0.8× 223 0.8× 143 0.6× 246 3.2× 17 1.2k
Yixin Liu United States 14 1.0k 0.8× 189 0.6× 206 0.8× 226 0.9× 57 0.7× 48 1.3k
Xiao Yu China 15 863 0.7× 144 0.4× 170 0.6× 639 2.5× 58 0.8× 39 1.2k
Fariba Sadri United Kingdom 14 751 0.6× 167 0.5× 242 0.9× 126 0.5× 57 0.7× 38 1.1k

Countries citing papers authored by Shaohan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shaohan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohan Huang

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

All Works

20 of 20 papers shown
1.
Huang, Shaohan, Xintong Zhang, Xin Zhao, et al.. (2025). On Domain-Adaptive Post-Training for Multimodal Large Language Models. 274–296.
2.
3.
Huang, Shaohan, Minghui Song, Zhoujun Li, et al.. (2024). ResLoRA: Identity Residual Mapping in Low-Rank Adaption. 8870–8884. 4 indexed citations
4.
Huang, Shaohan, Yi Liu, Jing Shang, et al.. (2024). Gloss: Guiding Large Language Models to Answer Questions from System Logs. 91–101. 2 indexed citations
5.
Jiang, Ting, Shaohan Huang, Zhongzhi Luan, Deqing Wang, & Fuzhen Zhuang. (2024). Scaling Sentence Embeddings with Large Language Models. 3182–3196. 8 indexed citations
6.
Liu, Haoyu, et al.. (2024). Se2: Sequential Example Selection for In-Context Learning. 5262–5284.
7.
Huang, Shaohan, et al.. (2023). Pre-training Language Model as a Multi-perspective Course Learner. 114–128.
8.
9.
Yang, Jian, Shuming Ma, Li Dong, et al.. (2023). GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator. 3 indexed citations
10.
Dong, Li, Barun Patra, Shuming Ma, et al.. (2023). A Length-Extrapolatable Transformer. 14590–14604. 26 indexed citations
11.
Li, Ziheng, Shaohan Huang, Zhihong Deng, et al.. (2023). Dual-Alignment Pre-training for Cross-lingual Sentence Embedding. 3466–3478. 2 indexed citations
12.
Yang, Jian, Shaohan Huang, Shuming Ma, et al.. (2022). CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation. 486–496. 6 indexed citations
13.
Jiang, Ting, Jian Jiao, Shaohan Huang, et al.. (2022). PromptBERT: Improving BERT Sentence Embeddings with Prompts. 8826–8837. 82 indexed citations
14.
Wang, Wenhui, Hangbo Bao, Shaohan Huang, Li Dong, & Furu Wei. (2021). MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers. 2140–2151. 115 indexed citations
15.
Li, Minghao, Yiheng Xu, Lei Cui, et al.. (2020). DocBank: A Benchmark Dataset for Document Layout Analysis. 949–960. 82 indexed citations
16.
Ji, Haozhe, Pei Ke, Shaohan Huang, Furu Wei, & Minlie Huang. (2020). Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. 248–257. 7 indexed citations
17.
Li, Minghao, Lei Cui, Shaohan Huang, et al.. (2019). TableBank: Table Benchmark for Image-based Table Detection and Recognition. arXiv (Cornell University). 1918–1925. 33 indexed citations
18.
Zhou, Qingyu, Nan Yang, Furu Wei, et al.. (2018). Neural Document Summarization by Jointly Learning to Score and Select Sentences. 654–663. 206 indexed citations
19.
Cui, Lei, Shaohan Huang, Furu Wei, et al.. (2017). SuperAgent: A Customer Service Chatbot for E-commerce Websites. 97–102. 194 indexed citations
20.
Dong, Li, Shaohan Huang, Furu Wei, et al.. (2017). Learning to Generate Product Reviews from Attributes. Edinburgh Research Explorer. 623–632. 115 indexed citations

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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