2026 Sujian Li: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	46	6897	6695	923	917	158	7790

Overview

Sujian Li is affiliated with Peking University in China and has a significant body of research primarily within the field of Computer Science. Their academic work spans multiple subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Management Information Systems, Management Science and Operations Research, and Computational Theory and Mathematics.

The main topics covered in Sujian Li's research include:

Topic Modeling
Natural Language Processing Techniques
Advanced Text Analysis Techniques
Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Sentiment Analysis and Opinion Mining
Speech Recognition and Synthesis

Their frequent co-authors reflect a collaborative research approach and include:

Dawei Zhu
Wenhao Wu
Yifan Song
Ziqiang Cao
Wenjie Li

Key recent publications by Sujian Li showcase a range of topics and venues:

"A Robust Adversarial Training Approach to Machine Reading Comprehension," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
"First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction," 2021, arXiv (Cornell University)
"Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples," 2022, Findings of the Association for Computational Linguistics: ACL 2022
"IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System," 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
"RODA: Reverse Operation Based Data Augmentation for Solving Math Word Problems," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing

The venues where Sujian Li frequently publishes include:

arXiv (Cornell University)
Journal of Mechanical Engineering
Proceedings of the AAAI Conference on Artificial Intelligence
Findings of the Association for Computational Linguistics: ACL 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Sujian Li has contributed to the academic literature through book publications, including a work published by Springer Science+Business Media titled "Chinese Computational Linguistics" (2020).

Best Publications

Interactive attention networks for aspect-level sentiment classification

Dehong Ma;Sujian Li;Xiaodong Zhang;Houfeng Wang

1039
Citations
Faithful to the Original: Fact Aware Neural Abstractive Summarization

Ziqiang Cao;Furu Wei;Wenjie Li;Sujian Li

375
Citations
Text Level Graph Neural Network for Text Classification.

Lianzhe Huang;Dehong Ma;Sujian Li;Xiaodong Zhang

305
Citations
Ranking with recursive neural networks and its application to multi-document summarization

Ziqiang Cao;Furu Wei;Li Dong;Sujian Li

280
Citations
A Dependency-Based Neural Network for Relation Classification

Yang Liu;Furu Wei;Sujian Li;Heng Ji

258
Citations
Applying regression models to query-focused multi-document summarization

You Ouyang;Wenjie Li;Sujian Li;Qin Lu

235
Citations
Do NLP Models Know Numbers? Probing Numeracy in Embeddings

Eric Wallace;Yizhong Wang;Sujian Li;Sameer Singh

230
Citations
Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization

Ziqiang Cao;Wenjie Li;Sujian Li;Furu Wei

212
Citations
A novel neural topic model and its supervised extension

Ziqiang Cao;Sujian Li;Yang Liu;Wenjie Li

190
Citations
Entity-centric topic-oriented opinion summarization in twitter

Xinfan Meng;Furu Wei;Xiaohua Liu;Ming Zhou

170
Citations
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension

An Yang;Quan Wang;Jing Liu;Kai Liu

144
Citations
Learning Summary Prior Representation for Extractive Summarization

Ziqiang Cao;Furu Wei;Sujian Li;Wenjie Li

141
Citations
Semantic computation in a Chinese question-answering system

Sujian Li;Jian Zhang;Xiong Huang;Shuo Bai

134
Citations
Implicit discourse relation classification via multi-task neural networks

Yang Liu;Sujian Li;Xiaodong Zhang;Zhifang Sui

127
Citations
Constructing Information Networks Using One Single Model

Qi Li;Heng Ji;Yu Hong;Yu Hong;Sujian Li

126
Citations
Encoding Temporal Information for Time-Aware Link Prediction

Tingsong Jiang;Tianyu Liu;Tao Ge;Lei Sha

125
Citations
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction

Dehong Ma;Sujian Li;Fangzhao Wu;Xing Xie

124
Citations
Component-Enhanced Chinese Character Embeddings

Yanran Li;Wenjie Li;Fei Sun;Sujian Li

113
Citations
Improving multi-document summarization via text classification

Ziqiang Cao;Wenjie Li;Sujian Li;Furu Wei

111
Citations
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification

Yizhong Wang;Kai Liu;Jing Liu;Wei He

109
Citations
AttSum: Joint learning of focusing and summarization with neural attention

Ziqiang Cao;Wenjie Li;Sujian Li;Furu Wei

97
Citations
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy.

Bowen Yu;Zhenyu Zhang;Xiaobo Shu;Tingwen Liu

86
Citations
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy

Bowen Yu;Zhenyu Zhang;Xiaobo Shu;Yubin Wang

10
Citations

Frequent Co-Authors

Wenjie Li Hong Kong Polytechnic University

Houfeng Wang Peking University

Furu Wei Microsoft (United States)

Ming Zhou Langboat Technology

Qin Lu Hong Kong Polytechnic University

Heng Ji University of Illinois at Urbana-Champaign

Jiwei Li Zhejiang University

Xu Sun Peking University

Hua Wu Baidu (China)

Haifeng Wang Baidu (China)

External Links

Personal website of Sujian Li Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science opens up flexible opportunities to start or advance your tech career. Many students opt for 1 year associate degree programs online to quickly gain foundational knowledge and enter the IT workforce. These accelerated options are ideal for those seeking a fast track into technology fields.

Affordability is a key concern for prospective students. There are many options among the cheapest online college programs, allowing you to earn your degree without overwhelming student debt. Budget-friendly programs are often flexible and designed for working adults.

Admission requirements at some online institutions can be more accessible than traditional routes. If you're worried about past academic performance, consider applying to a college that accepts low gpa. This opens the door to individuals who are motivated but may not have a high GPA.

Online learning also enables multidisciplinary pathways. For instance, combining computing skills with another field can expand your career options. Graduates with technology and science backgrounds can pursue diverse opportunities, similar to those with jobs with elementary education and environmental science degree. Explore your interests to find the best fit for your career goals.