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Xianglong Liu

Xianglong Liu

D-Index & Metrics

Computer Science

D-Index
58
Citations
11403
World Ranking
3680
National Ranking
490

Overview

Xianglong Liu is affiliated with Beihang University in China and has a substantial research presence primarily in the field of computer science. Their work spans several subfields and specialized topics, reflecting a broad engagement with contemporary challenges in artificial intelligence and related disciplines.

Their research spans multiple subfields of study, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Radiology, Nuclear Medicine and Imaging
  • Signal Processing
  • Electrical and Electronic Engineering

Liu's main topics of research include:

  • Adversarial Robustness in Machine Learning
  • Advanced Neural Network Applications
  • Anomaly Detection Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition

Their recent papers, which appear in notable peer-reviewed venues, include:

  • Binary neural networks: A survey, 2020, Pattern Recognition
  • Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments, 2021, Pattern Recognition
  • Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval, 2020, IEEE Transactions on Image Processing
  • Spatio-Temporal Attention Networks for Action Recognition and Detection, 2020, IEEE Transactions on Multimedia
  • Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Common publication venues where Liu has frequently contributed include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Pattern Recognition
  • International Journal of Computer Vision
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators working alongside Liu include:

  • Aishan Liu
  • Haotong Qin
  • Jiakai Wang
  • Dacheng Tao
  • Yuqing Ma

Best Publications

  • Binary Neural Networks: A Survey

    Haotong Qin;Ruihao Gong;Xianglong Liu;Xiao Bai

  • Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks

    Ruihao Gong;Xianglong Liu;Shenghu Jiang;Tianxiang Li

  • Triplet-Based Deep Hashing Network for Cross-Modal Retrieval

    Cheng Deng;Zhaojia Chen;Xianglong Liu;Xinbo Gao

  • Forward and Backward Information Retention for Accurate Binary Neural Networks

    Haotong Qin;Ruihao Gong;Xianglong Liu;Mingzhu Shen

  • Pairwise relationship guided deep hashing for cross-modal retrieval

    Erkun Yang;Cheng Deng;Wei Liu;Xianglong Liu

  • Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments

    Xiao Bai;Xiang Wang;Xianglong Liu;Qiang Liu

  • Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval

    Li Liu;Fumin Shen;Yuming Shen;Xianglong Liu

  • Two-Stream 3-D convNet Fusion for Action Recognition in Videos With Arbitrary Size and Length

    Xuanhan Wang;Lianli Gao;Peng Wang;Xiaoshuai Sun

  • Perceptual-Sensitive GAN for Generating Adversarial Patches.

    Aishan Liu;Xianglong Liu;Jiaxin Fan;Yuqing Ma

  • Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering

    Xiangpeng Li;Jingkuan Song;Lianli Gao;Xianglong Liu

  • Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization

    Ruyi Ji;Longyin Wen;Libo Zhang;Dawei Du

  • Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module

    Yanlu Wei;Renshuai Tao;Zhangjie Wu;Yuqing Ma

  • Mobile product search with Bag of Hash Bits and boundary reranking

    Junfeng He;Jinyuan Feng;Xianglong Liu;Tao Cheng

  • Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.

    Lei Huang;Xianglong Liu;Bo Lang;Adams Wei Yu

  • Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World

    Jiakai Wang;Aishan Liu;Zixin Yin;Shunchang Liu

  • Active Transfer Learning Network: A Unified Deep Joint Spectral–Spatial Feature Learning Model for Hyperspectral Image Classification

    Cheng Deng;Yumeng Xue;Xianglong Liu;Chao Li

  • Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval

    De Xie;Cheng Deng;Chao Li;Xianglong Liu

  • Towards Unified INT8 Training for Convolutional Neural Network

    Feng Zhu;Ruihao Gong;Fengwei Yu;Xianglong Liu

  • Active multi-kernel domain adaptation for hyperspectral image classification

    Cheng Deng;Xianglong Liu;Chao Li;Dacheng Tao

  • Spatio-Temporal Attention Networks for Action Recognition and Detection

    Jun Li;Xianglong Liu;Wenxuan Zhang;Mingyuan Zhang

  • Collaborative Hashing

    Xianglong Liu;Junfeng He;Cheng Deng;Bo Lang

Frequent Co-Authors

Cheng Deng
Cheng Deng Xidian University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Jingkuan Song
Jingkuan Song Columbia University
Lianli Gao
Lianli Gao University of Electronic Science and Technology of China
Jun Zhou
Jun Zhou Griffith University
Shih-Fu Chang
Shih-Fu Chang Columbia University
Junjie Yan
Junjie Yan SenseTime
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Edwin R. Hancock
Edwin R. Hancock University of York
Longyin Wen
Longyin Wen ByteDance

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