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Yonghong Tian

Yonghong Tian

D-Index & Metrics

Computer Science

D-Index
64
Citations
14880
World Ranking
2623
National Ranking
357

Overview

Yonghong Tian is affiliated with Peking University in China and has a substantial body of research primarily in computer science and engineering. Their work spans several subfields, including computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, cognitive neuroscience, and molecular biology.

The research topics explored by Yonghong Tian include:

  • Advanced Memory and Neural Computing
  • Neural dynamics and brain function
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Ferroelectric and Negative Capacitance Devices

Among the recent papers authored or co-authored by Yonghong Tian are:

  • Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Adversarial Reciprocal Points Learning for Open Set Recognition, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence, 2023, Science Advances
  • Deep Residual Learning in Spiking Neural Networks, 2021, arXiv (Cornell University)
  • Attention Spiking Neural Networks, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence

Yonghong Tian frequently collaborates with several co-authors including:

  • Tiejun Huang
  • Rongrong Ji
  • Yaowei Wang
  • Peixi Peng
  • Xiao Wang

The scientist publishes frequently in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the AAAI Conference on Artificial Intelligence

Yonghong Tian's research output covers over 400 publications in computer science and around 184 in engineering, indicating a broad and interdisciplinary approach across both theoretical and applied domains within neural computing and artificial intelligence fields.

Best Publications

  • Deep Relative Distance Learning: Tell the Difference between Similar Vehicles

    Hongye Liu;Yonghong Tian;Yaowei Wang;Lu Pang

  • HRank: Filter Pruning Using High-Rank Feature Map

    Mingbao Lin;Rongrong Ji;Yan Wang;Yichen Zhang

  • Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks

    Wei Fang;Zhaofei Yu;Yanqi Chen;Timothee Masquelier

  • Unsupervised Cross-Dataset Transfer Learning for Person Re-identification

    Peixi Peng;Tao Xiang;Yaowei Wang;Massimiliano Pontil

  • AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification

    Yunpeng Zhai;Shijian Lu;Qixiang Ye;Xuebo Shan

  • Part-Regularized Near-Duplicate Vehicle Re-Identification

    Bing He;Jia Li;Yifan Zhao;Yonghong Tian

  • Adversarial Reciprocal Points Learning for Open Set Recognition.

    Guangyao Chen;Peixi Peng;Xiangqian Wang;Yonghong Tian

  • Deep Transfer Learning for Person Re-identification

    Mengyue Geng;Yaowei Wang;Tao Xiang;Yonghong Tian

  • Can We Beat DDoS Attacks in Clouds

    Shui Yu;Yonghong Tian;Song Guo;Dapeng Oliver Wu

  • Channel Pruning via Automatic Structure Search

    Mingbao Lin;Rongrong Ji;Yuxin Zhang;Baochang Zhang

  • Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark

    Xiao Wang;Xiujun Shu;Zhipeng Zhang;Bo Jiang

  • Deep Residual Learning in Spiking Neural Networks

    Wei Fang;Zhaofei Yu;Yanqi Chen;Tiejun Huang

  • Sequential Deep Trajectory Descriptor for Action Recognition With Three-Stream CNN

    Yemin Shi;Yonghong Tian;Yaowei Wang;Tiejun Huang

  • Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey

    Unknown

  • Selectivity or Invariance: Boundary-Aware Salient Object Detection

    Jinming Su;Jia Li;Yu Zhang;Changqun Xia

  • Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning

    Limeng Qiao;Yemin Shi;Jia Li;Yonghong Tian

  • Learning Open Set Network with Discriminative Reciprocal Points

    Guangyao Chen;Limeng Qiao;Yemin Shi;Peixi Peng

  • Group-sensitive multiple kernel learning for object categorization

    Jingjing Yang;Yuanning Li;Yonghong Tian;Lingyu Duan

  • Multiple Expert Brainstorming for Domain Adaptive Person Re-Identification

    Yunpeng Zhai;Qixiang Ye;Shijian Lu;Mengxi Jia

  • Single underwater image enhancement with a new optical model

    Haocheng Wen;Yonghong Tian;Tiejun Huang;Wen Gao

  • Vlogging: A survey of videoblogging technology on the web

    Wen Gao;Yonghong Tian;Tiejun Huang;Qiang Yang

  • Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video

    Jia Li;Yonghong Tian;Tiejun Huang;Wen Gao

  • Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN

    Shupeng Su;Chao Zhang;Kai Han;Yonghong Tian

Frequent Co-Authors

Tiejun Huang
Tiejun Huang Peking University
Yaowei Wang
Yaowei Wang Peking University
Wen Gao
Wen Gao Peking University
Rongrong Ji
Rongrong Ji Xiamen University
Qixiang Ye
Qixiang Ye Chinese Academy of Sciences
Ling-Yu Duan
Ling-Yu Duan Peking University
Shijian Lu
Shijian Lu Nanyang Technological University
Baochang Zhang
Baochang Zhang Beihang University
Jianzhuang Liu
Jianzhuang Liu Shenzhen Institutes of Advanced Technology
Feng Wu
Feng Wu University of Science and Technology of China

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