World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
27671
World Ranking
1326
National Ranking
698

Overview

Caiming Xiong is affiliated with Salesforce in the United States and focuses on research primarily within the field of Computer Science. Their scholarly contributions cover several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Signal Processing.

The main topics underlying Xiong's research include Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Speech and Dialogue Systems, Advanced Neural Network Applications, and Machine Learning and Data Classification.

Xiong has published extensively in numerous venues. The most frequent publication platforms include:

  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Transactions of the Association for Computational Linguistics
  • Findings of the Association for Computational Linguistics: NAACL 2022
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among recent publications associated with their work are:

  • BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation, 2022, arXiv (Cornell University)
  • Large language models generate functional protein sequences across diverse families, 2023, Nature Biotechnology
  • Align before Fuse: Vision and Language Representation Learning with Momentum Distillation, 2021, arXiv (Cornell University)
  • Prototypical Contrastive Learning of Unsupervised Representations, 2020, arXiv (Cornell University)
  • Intent Contrastive Learning for Sequential Recommendation, 2022, Proceedings of the ACM Web Conference 2022

Collaboration forms an important aspect of Xiong's work. Frequent coauthors include Silvio Savarese, Chien-Sheng Wu, Yingbo Zhou, Shafiq Joty, and Richard Socher, evidencing connections across several research groups and disciplines.

Best Publications

  • Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning

    Jiasen Lu;Caiming Xiong;Devi Parikh;Richard Socher

  • A Deep Reinforced Model for Abstractive Summarization

    Romain Paulus;Caiming Xiong;Richard Socher

  • Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

    Victor Zhong;Caiming Xiong;Richard Socher

  • CTRL: A Conditional Transformer Language Model for Controllable Generation

    Nitish Shirish Keskar;Bryan McCann;Lav R. Varshney;Caiming Xiong

  • Pointer Sentinel Mixture Models

    Stephen Merity;Caiming Xiong;James Bradbury;Richard Socher

  • Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

    Junnan Li;Ramprasaath R. Selvaraju;Akhilesh Deepak Gotmare;Shafiq R. Joty

  • Learned in translation: contextualized word vectors

    Bryan McCann;James Bradbury;Caiming Xiong;Richard Socher

  • Dynamic memory networks for visual and textual question answering

    Caiming Xiong;Stephen Merity;Richard Socher

  • Dynamic Coattention Networks For Question Answering

    Caiming Xiong;Victor Zhong;Richard Socher

  • End-to-End Dense Video Captioning with Masked Transformer

    Luowei Zhou;Yingbo Zhou;Jason J. Corso;Richard Socher

  • The Natural Language Decathlon: Multitask Learning as Question Answering

    Bryan McCann;Nitish Shirish Keskar;Caiming Xiong;Richard Socher

  • A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

    Kazuma Hashimoto;Caiming Xiong;Yoshimasa Tsuruoka;Richard Socher

  • Evaluating the Factual Consistency of Abstractive Text Summarization

    Wojciech Kryscinski;Bryan McCann;Caiming Xiong;Richard Socher

  • ERASER: A Benchmark to Evaluate Rationalized NLP Models

    Jay DeYoung;Sarthak Jain;Nazneen Fatema Rajani;Eric Lehman

  • Prototypical Contrastive Learning of Unsupervised Representations

    Junnan Li;Pan Zhou;Caiming Xiong;Richard Socher

  • Non-Autoregressive Neural Machine Translation

    Jiatao Gu;James Bradbury;Caiming Xiong;Victor O. K. Li

  • Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems

    Chien-Sheng Wu;Andrea Madotto;Ehsan Hosseini-Asl;Caiming Xiong

  • Quasi-Recurrent Neural Networks

    Bradbury James;Merity Stephen Joseph;Xiong Caiming;Socher Richard

  • Explain Yourself! Leveraging Language Models for Commonsense Reasoning

    Nazneen Fatema Rajani;Bryan McCann;Caiming Xiong;Richard Socher

  • SummEval: Re-evaluating Summarization Evaluation

    Alexander R. Fabbri;Wojciech Kryscinski;Bryan McCann;Caiming Xiong

  • Evaluating the Factual Consistency of Abstractive Text Summarization

    Wojciech Kryściński;Bryan McCann;Caiming Xiong;Richard Socher

  • SummEval: Re-evaluating Summarization Evaluation

    Alexander R. Fabbri;Wojciech Kryściński;Bryan McCann;Caiming Xiong

Frequent Co-Authors

Jason J. Corso
Jason J. Corso University of Michigan–Ann Arbor
Steven C. H. Hoi
Steven C. H. Hoi Alibaba Group (China)
Dragomir R. Radev
Dragomir R. Radev Yale University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Zuxuan Wu
Zuxuan Wu Fudan University
Song-Chun Zhu
Song-Chun Zhu Peking University
Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Shafiq Joty
Shafiq Joty Salesforce (United States)

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA can open doors to a wide range of high-demand careers. Students who are considering this field often look into related online degrees that can help broaden their expertise and boost employability. Options such as an cheapest criminal justice degree online can be appealing for those interested in cybersecurity or digital forensics, blending computer science skills with law enforcement applications.

Budget also matters when choosing a degree. Investigating the accounting degree cost is important for those considering double majors or looking to add essential business skills alongside their tech studies. For those aiming to specialize in data analytics or AI, pursuing an online data science masters is a logical next step to enhance job prospects in data-driven industries.

Additionally, a online construction management degree is perfect for students wanting to integrate technology and project management, especially in engineering or tech-driven construction. Exploring these related online degrees allows you to create unique career pathways and stand out in a competitive job market.

Best Scientists Citing Caiming Xiong

Trending Scientists

Recently Published Articles