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Lingqiao Liu

Lecturer

School of Computer Science, University of Adelaide

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Dr. Lingqiao Liu is a Lecturer and ARC DECRA Fellow in School of Computer Science, University of Adelaide, Australia.He is a recipient of ARC DECRA (Discovery Early Career Researcher Award) award in 2016 and the University of Adelaide Research Fellowship award in 2016. He has a broad research interest in machine learning, computer vision, natural language processing and music information processing.

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Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation

Liu Yu,Liu Lingqiao, Zhang Haokui, Rezatofighi Hamid, Reid Ian

IROS, pp.8439-8446, (2020)

Cited by1EIBibtex

Towards Effective Deep Embedding for Zero-Shot Learning

Lei Zhang,Peng Wang,Lingqiao Liu,Chunhua Shen,Wei Wei,Yanning Zhang,Anton van den Hengel

IEEE Trans. Circuits Syst. Video Technol., no. 9 (2020): 2843-2852

EIBibtex

Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network

Haibo Su,Peng Wang,Lingqiao Liu,Hui Li,Zhen Li,Yanning Zhang

IEEE Transactions on Circuits and Systems for Video Technology, pp.1-1, (2020)

Bibtex

Dynamic Memory Enhanced Transformer for End-to-end Task-Oriented Dialogue System

Yanjie Gou,Yinjie Lei,Lingqiao Liu

Bibtex

GADE: A Generative Adversarial Approach to Density Estimation and its Applications

M. Ehsan Abbasnejad,Javen Shi,Anton van den Hengel,Lingqiao Liu

International Journal of Computer Vision, no. 10 (2020): 2731-2743

EIBibtex

A Biomimetic Polymer Magnetic Nanocarrier Polarizing Tumor-Associated Macrophages for Potentiating Immunotherapy

Lingqiao Liu, Yi Wang, Xing Guo, Jingya Zhao,Shaobing Zhou

Small (Weinheim an der Bergstrasse, Germany), no. 38 (2020): 2003543

WOSBibtex

Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks

Yan Liu,Lingqiao Liu,Peng Wang,Pingping Zhang,Yinjie Lei

european conference on computer vision, pp.242-259, (2020)

Bibtex

Semi-supervised Learning via Conditional Rotation Angle Estimation

Xu Hai-Ming,Liu Lingqiao, Gong Dong

Bibtex

A Dynamic Parameter Enhanced Network for distant supervised relation extraction

Yanjie Gou,Yinjie Lei,Lingqiao Liu,Pingping Zhang, Xi Peng

Knowledge-Based Systems, (2020): 105912

Bibtex

Medical Data Inquiry Using a Question Answering Model

Zhibin Liao,Lingqiao Liu,Qi Wu, Damien Teney,Chunhua Shen,Anton van den Hengel, Johan Verjans

ISBI, pp.1490-1493, (2020)

EIBibtex

Training Quantized Neural Networks With a Full-Precision Auxiliary Module

Bohan Zhuang,Lingqiao Liu,Mingkui Tan,Chunhua Shen,Ian Reid

CVPR, pp.1485-1494, (2020)

Cited by2EIBibtex

Towards Effective Deep Embedding for Zero-Shot Learning

Lei Zhang,Peng Wang,Lingqiao Liu,Chunhua Shen,Wei Wei, Yannning Zhang,Anton Van Den Hengel

IEEE Transactions on Circuits and Systems for Video Technology, pp.1-1, (2020)

Cited by3Bibtex

Towards Using Count-level Weak Supervision for Crowd Counting

Lei Yinjie, Liu Yan,Zhang Pingping,Liu Lingqiao

Pattern Recognit., (2020): 107616

EIBibtex

Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning

Zhang Haokui,Liu Yu, Fang Bei, Li Ying,Liu Lingqiao, Reid Ian

Bibtex

Mask-Aware Networks for Crowd Counting

Shengqin Jiang,Xiaobo Lu,Yinjie Lei,Lingqiao Liu

IEEE Trans. Circuits Syst. Video Technol., no. 9 (2020): 3119-3129

EIBibtex

V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices

Damien Teney,Peng Wang,Jiewei Cao,Lingqiao Liu,Chunhua Shen,Anton van den Hengel

AAAI, pp.12071-12078, (2020)

Cited by1EIBibtex

RPC: A Large-Scale Retail Product Checkout Dataset

Xiu-Shen Wei, Quan Cui, Lei Yang,Peng Wang,Lingqiao Liu

arXiv: Computer Vision and Pattern Recognition, (2019)

Cited by15EIBibtex

DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction

Gou Yanjie,Lei Yinjie,Liu Lingqiao,Zhang Pingping, Zhang Jingyi, Peng Xi

Bibtex

Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction

Kang Liangyi, Liu Jie,Liu Lingqiao,Shi Qinfeng, Ye Dan

Bibtex

Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization

Yu Chen,Chunhua Shen,Xiu-Shen Wei,Lingqiao Liu,Jian Yang

IEEE Transactions on Pattern Analysis and Machine Intelligence, no. 7 (2019): 1654-1669

Cited by25EIWOSBibtex

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