World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7922
World Ranking
7230
National Ranking
3157

Overview

Yuandong Tian is affiliated with Facebook in the United States. Their primary field of study is Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Electrical and Electronic Engineering, and Computer Networks and Communications.

Their research covers multiple main topics such as Advanced Neural Network Applications, Topic Modeling, Neural Networks and Applications, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Recommender Systems and Techniques, and Multi-Agent Systems and Negotiation.

Yuandong Tian has contributed to various scholarly papers. Notable recent publications include:

  • A Cookbook of Self-Supervised Learning, 2023, arXiv (Cornell University)
  • Understanding self-supervised Learning Dynamics without Contrastive Pairs, 2021, arXiv (Cornell University)
  • Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Real-world Video Adaptation with Reinforcement Learning, 2020, arXiv (Cornell University)

Frequent coauthors collaborating with Tian include:

  • Beidi Chen
  • Sainbayar Sukhbaatar
  • Zechun Liu
  • Daochen Zha
  • Louis Feng

Publication venues where Tian most often publishes work are:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • IEEE Micro

Best Publications

  • FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

    Bichen Wu;Kurt Keutzer;Xiaoliang Dai;Peizhao Zhang

  • Simple Baseline for Visual Question Answering

    Bolei Zhou;Yuandong Tian;Sainbayar Sukhbaatar;Arthur Szlam

  • Single Image 3D Interpreter Network

    Jiajun Wu;Tianfan Xue;Joseph J. Lim;Joseph J. Lim;Yuandong Tian

  • Building Generalizable Agents with a Realistic and Rich 3D Environment

    Yi Wu;Yuxin Wu;Georgia Gkioxari;Yuandong Tian

  • FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

    Alvin Wan;Xiaoliang Dai;Peizhao Zhang;Zijian He

  • Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search

    Bichen Wu;Yanghan Wang;Peizhao Zhang;Yuandong Tian

  • EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking

    Jingyu Cui;Fang Wen;Rong Xiao;Yuandong Tian

  • Exploring the spatial hierarchy of mixture models for human pose estimation

    Yuandong Tian;C. Lawrence Zitnick;Srinivasa G. Narasimhan

  • Semantic Amodal Segmentation

    Yan Zhu;Yuandong Tian;Dimitris Metaxas;Piotr Dollar

  • Training Agent for First-Person Shooter Game with Actor-Critic Curriculum Learning

    Yuxin Wu;Yuandong Tian

  • Gradient Descent Learns One-hidden-layer CNN: Don’t be Afraid of Spurious Local Minima

    Simon S. Du;Jason D. Lee;Yuandong Tian;Barnabas Poczos

  • One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers

    Ari S. Morcos;Haonan Yu;Michela Paganini;Yuandong Tian

  • An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis

    Yuandong Tian

  • Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees.

    Yuping Luo;Huazhe Xu;Yuanzhi Li;Yuandong Tian

  • Seeing through water: Image restoration using model-based tracking

    Yuandong Tian;Srinivasa G. Narasimhan

  • ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games

    Yuandong Tian;Qucheng Gong;Wenling Shang;Yuxin Wu

  • A Face Annotation Framework with Partial Clustering and Interactive Labeling

    Yuandong Tian;Wei Liu;Rong Xiao;Fang Wen

  • Learning to Perform Local Rewriting for Combinatorial Optimization

    Xinyun Chen;Yuandong Tian

  • Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction

    Qingquan Song;Dehua Cheng;Hanning Zhou;Jiyan Yang

  • RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge

    Jun Cheng;Fuxiang Wu;Yanling Tian;Lei Wang

  • Learning to Perform Local Rewriting for Combinatorial Optimization

    Xinyun Chen;Yuandong Tian

  • FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

    Bichen Wu;Xiaoliang Dai;Peizhao Zhang;Yanghan Wang

  • Semantic Amodal Segmentation

    Yan Zhu;Yuandong Tian;Dimitris Mexatas;Piotr Dollár

Frequent Co-Authors

Srinivasa G. Narasimhan
Srinivasa G. Narasimhan Carnegie Mellon University
Rodrigo Fonseca
Rodrigo Fonseca Brown University
Xinlei Chen
Xinlei Chen Facebook (United States)
Joseph E. Gonzalez
Joseph E. Gonzalez University of California, Berkeley
Simon S. Du
Simon S. Du University of Washington
Kurt Keutzer
Kurt Keutzer University of California, Berkeley
C. Lawrence Zitnick
C. Lawrence Zitnick Facebook (United States)
Jason D. Lee
Jason D. Lee Princeton University
Stuart Russell
Stuart Russell University of California, Berkeley

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