World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
13496
World Ranking
2497
National Ranking
339

Research.com Recognitions

  • 2019 - ACM Distinguished Member

Overview

Luo Si is affiliated with Alibaba Group (China) and has extensively contributed to the field of computer science, with a primary focus on artificial intelligence. Their research portfolio comprises 217 publications, predominantly in areas such as artificial intelligence, computer vision and pattern recognition, molecular biology, information systems, and electrical and electronic engineering.

The scientist has worked on a range of topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech and Dialogue Systems
  • Advanced Text Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Advanced Graph Neural Networks

Luo Si's recent papers demonstrate a diversity of research interests and include the following works:

  • "Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction" (2022), published in Proceedings of the ACM Web Conference 2022
  • "Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion" (2022), published in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • "CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark" (2022), published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction" (2022), published in Findings of the Association for Computational Linguistics: NAACL 2022

Frequent co-authors collaborating with Luo Si include:

  • Fei Huang
  • Lidong Bing
  • Yongbin Li
  • Chuanqi Tan

Luo Si's publications appear regularly in select venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

In recognition of professional contributions, Luo Si was awarded the ACM Distinguished Member honor in 2019.

Best Publications

  • Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis

    Haiyun Peng;Lu Xu;Lidong Bing;Fei Huang

  • Flexible mixture model for collaborative filtering

    Luo Si;Rong Jin

  • An automatic weighting scheme for collaborative filtering

    Rong Jin;Joyce Y. Chai;Luo Si

  • KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.

    Xiang Chen;Ningyu Zhang;Xin Xie;Shumin Deng

  • A statistical model for scientific readability

    Luo Si;Jamie Callan

  • Relevant document distribution estimation method for resource selection

    Luo Si;Jamie Callan

  • Expertise Retrieval

    Krisztian Balog;Yi Fang;Maarten de Rijke;Pavel Serdyukov

  • Composite hashing with multiple information sources

    Dan Zhang;Fei Wang;Luo Si

  • Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

    Unknown

  • Federated Search

    Milad Shokouhi;Luo Si

  • A semisupervised learning method to merge search engine results

    Luo Si;Jamie Callan

  • A language modeling framework for resource selection and results merging

    Luo Si;Rong Jin;Jamie Callan;Paul Ogilvie

  • Effective automatic image annotation via a coherent language model and active learning

    Rong Jin;Joyce Y. Chai;Luo Si

  • Document-level Relation Extraction as Semantic Segmentation.

    Ningyu Zhang;Xiang Chen;Xin Xie;Shumin Deng

  • A Probabilistic Discriminative Model for Android Malware Detection with Decompiled Source Code

    Lei Cen;Christoher S. Gates;Luo Si;Ninghui Li

  • HERCULE: attack story reconstruction via community discovery on correlated log graph

    Kexin Pei;Zhongshu Gu;Brendan Saltaformaggio;Shiqing Ma

  • Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning.

    Quanzhi Li;Qiong Zhang;Luo Si

  • A Bayesian approach toward active learning for collaborative filtering

    Rong Jin;Luo Si

  • Mining contrastive opinions on political texts using cross-perspective topic model

    Yi Fang;Luo Si;Naveen Somasundaram;Zhengtao Yu

  • Collaborative filtering with decoupled models for preferences and ratings

    Rong Jin;Luo Si;ChengXiang Zhai;Jamie Callan

  • Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

    Snehasis Mukhopadhyay;ChengXiang Zhai;Elisa Bertino;Fabio Crestani

  • On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation

    Ruidan He;Linlin Liu;Hai Ye;Qingyu Tan

  • StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding

    Wei Wang;Bin Bi;Ming Yan;Chen Wu

Frequent Co-Authors

Rong Jin
Rong Jin Alibaba Group (China)
Jamie Callan
Jamie Callan Carnegie Mellon University
Eric Nyberg
Eric Nyberg Carnegie Mellon University
Chris Clifton
Chris Clifton Purdue University West Lafayette
ChengXiang Zhai
ChengXiang Zhai University of Illinois at Urbana-Champaign
Aditya P. Mathur
Aditya P. Mathur Singapore University of Technology and Design
Elisa Bertino
Elisa Bertino Purdue University West Lafayette
Joyce Y. Chai
Joyce Y. Chai University of Michigan–Ann Arbor
Xiaofang Zhou
Xiaofang Zhou Hong Kong University of Science and Technology
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University

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