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Computer Science

D-Index
32
Citations
7264
World Ranking
12918
National Ranking
1588

Overview

Nan Du is a researcher affiliated with Tencent in China. Their work spans multiple domains primarily within computer science, with a significant focus on artificial intelligence. They have contributed extensively to various aspects of natural language processing and machine learning, with additional involvement in molecular biology and related fields.

The main fields of study for Nan Du include:

  • Computer Science

Within this main domain, their research encompasses several subfields such as:

  • Artificial Intelligence
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Pulmonary and Respiratory Medicine

Nan Du's work touches on diverse topics, reflecting an interdisciplinary approach. Key research topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Ferroelectric and Negative Capacitance Devices
  • Speech and Dialogue Systems
  • RNA Modifications and Cancer

They have published in various academic venues, with the most frequent publication platforms being:

  • arXiv (Cornell University) - 31 publications
  • Journal of Experimental & Clinical Cancer Research - 2 publications
  • The Astrophysical Journal Supplement Series - 1 publication
  • The Science of The Total Environment - 1 publication
  • Molecular and Cellular Probes - 1 publication

Among Nan Du's recent publications are:

  • "PaLM: Scaling Language Modeling with Pathways," 2022, arXiv (Cornell University)
  • "ReAct: Synergizing Reasoning and Acting in Language Models," 2022, arXiv (Cornell University)
  • "GLaM: Efficient Scaling of Language Models with Mixture-of-Experts," 2021, arXiv (Cornell University)
  • "PaLM 2 Technical Report," 2023, arXiv (Cornell University)
  • "Helicobacter pylori-induced NAT10 stabilizes MDM2 mRNA via RNA acetylation to facilitate gastric cancer progression," 2023, Journal of Experimental & Clinical Cancer Research

Nan Du has worked collaboratively with several frequent co-authors, including:

  • Andrew M. Dai
  • Yanqi Zhou
  • Zhifeng Chen
  • Quoc V. Le
  • Pengyu Cheng

Best Publications

  • PaLM: Scaling Language Modeling with Pathways

    Unknown

  • Recurrent Marked Temporal Point Processes: Embedding Event History to Vector

    Nan Du;Hanjun Dai;Rakshit Trivedi;Utkarsh Upadhyay

  • PaLM 2 Technical Report

    Unknown

  • ReAct: Synergizing Reasoning and Acting in Language Models

    Unknown

  • AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy

    Wentao Zhu;Yufang Huang;Liang Zeng;Xuming Chen

  • Community detection in large-scale social networks

    Nan Du;Bin Wu;Xin Pei;Bai Wang

  • Scalable Influence Estimation in Continuous-Time Diffusion Networks

    Nan Du;Le Song;Manuel Gomez-Rodriguez;Hongyuan Zha

  • Influence Estimation and Maximization in Continuous-Time Diffusion Networks

    Manuel Gomez-Rodriguez;Le Song;Nan Du;Hongyuan Zha

  • A Deep Learning Approach to Link Prediction in Dynamic Networks.

    Xiaoyi Li;Nan Du;Hui Li;Kang Li

  • Joint Slot Filling and Intent Detection via Capsule Neural Networks

    Chenwei Zhang;Yaliang Li;Nan Du;Wei Fan

  • Learning Networks of Heterogeneous Influence

    Nan Du;Le Song;Ming Yuan;Alex J. Smola

  • Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams

    Nan Du;Mehrdad Farajtabar;Amr Ahmed;Alexander J. Smola

  • GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

    Unknown

  • Shaping Social Activity by Incentivizing Users

    Mehrdad Farajtabar;Nan Du;Manuel Gomez-Rodriguez;Isabel Valera

  • Time-sensitive recommendation from recurrent user activities

    Nan Du;Yichen Wang;Niao He;Le Song

  • Improved recommendation based on collaborative tagging behaviors

    Shiwan Zhao;Nan Du;Andreas Nauerz;Xiatian Zhang

  • Uncover Topic-Sensitive Information Diffusion Networks

    Nan Du;Le Song;Hyenkyun Woo;Hongyuan Zha

  • Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process

    Edward Choi;Nan Du;Robert Chen;Le Song

  • Influence Function Learning in Information Diffusion Networks

    Nan Du;Yingyu Liang;Maria Balcan;Le Song

  • A Parallel Algorithm for Enumerating All Maximal Cliques in Complex Network

    Nan Du;Bin Wu;Liutong Xu;Bai Wang

  • Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades

    Mehrdad Farajtabar;Manuel Gomez-Rodriguez;Nan Du;Mohammad Zamani

  • Finetuned Language Models Are Zero-Shot Learners

    Jason Wei;Maarten Bosma;Vincent Y. Zhao;Kelvin Guu

  • Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs

    Ying Shen;Yang Deng;Min Yang;Yaliang Li

  • Overlapping Community Detection in Bipartite Networks

    Nan Du;Bai Wang;Bin Wu;Yi Wang

  • Learning Temporal Point Processes via Reinforcement Learning

    Shuang Li;Shuai Xiao;Shixiang Zhu;Nan Du

  • MuVAN: A Multi-view Attention Network for Multivariate Temporal Data

    Ye Yuan;Guangxu Xun;Fenglong Ma;Yaqing Wang

  • Multi-Grained Named Entity Recognition

    Congying Xia;Chenwei Zhang;Tao Yang;Yaliang Li

  • Multi-grained Named Entity Recognition.

    Congying Xia;Chenwei Zhang;Tao Yang;Yaliang Li

  • Scalable Influence Estimation in Continuous-Time Diffusion Networks

    Nan Du;Le Song;Manuel Gomez Rodriguez;Hongyuan Zha

Frequent Co-Authors

Wei Fan
Wei Fan Tencent (China)
Yaliang Li
Yaliang Li Alibaba Group (China)
Aidong Zhang
Aidong Zhang University of Virginia
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence
Jing Gao
Jing Gao Purdue University West Lafayette
Ying Shen
Ying Shen Sun Yat-sen University
Bin Wu
Bin Wu Beijing University of Posts and Telecommunications
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Manuel Gomez-Rodriguez
Manuel Gomez-Rodriguez Max Planck Institute for Software Systems

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