Measuring Gender Bias in News Images. - Sen Jia 002; Thomas Lansdall-Welfare; Nello Cristianini (WWW (Companion Volume), 2015)

Learning to classify gender from four million images. - Sen Jia 002; Nello Cristianini (Pattern Recognit. Lett., 2015)

Gender Classification by Deep Learning on Millions of Weakly Labelled Images. - Sen Jia 002; Thomas Lansdall-Welfare; Nello Cristianini (ICDM Workshops, 2016)

Time Series Analysis of Garment Distributions via Street Webcam. - Sen Jia 002; Thomas Lansdall-Welfare; Nello Cristianini (ICIAR, 2016)

Data from the wild in computer vision: generating and exploiting large scale and noisy datasets. - Sen Jia 002 (2016)

Blind high dynamic range image quality assessment using deep learning. - Sen Jia 002; Yang Zhang 003; Dimitris Agrafiotis; David R. Bull (ICIP, 2017)

Freudian Slips: Analysing the Internal Representations of a Neural Network from Its Mistakes. - Sen Jia 002; Thomas Lansdall-Welfare; Nello Cristianini (IDA, 2017)

Right for the Right Reason: Training Agnostic Networks. - Sen Jia 002; Thomas Lansdall-Welfare; Nello Cristianini (IDA, 2018)

EML-NET: An Expandable Multi-Layer NETwork for Saliency Prediction. - Sen Jia 002 (CoRR, 2018)

Saliency-based deep convolutional neural network for no-reference image quality assessment. - Sen Jia 002; Yang Zhang 003 (Multim. Tools Appl., 2018)

Richer and Deeper Supervision Network for Salient Object Detection. - Sen Jia 002; Neil D. B. Bruce (CoRR, 2019)

Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve. - Sen Jia 002; Neil D. B. Bruce (CVPR, 2020)

How much Position Information Do Convolutional Neural Networks Encode? - Md. Amirul Islam; Sen Jia 002; Neil D. B. Bruce (ICLR, 2020)

EML-NET: An Expandable Multi-Layer NETwork for saliency prediction. - Sen Jia 002; Neil D. B. Bruce (Image Vis. Comput., 2020)

Simpler Does It: Generating Semantic Labels with Objectness Guidance. - Md. Amirul Islam; Matthew Kowal; Sen Jia 002; Konstantinos G. Derpanis; Neil D. B. Bruce (BMVC, 2021)

Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. - Md. Amirul Islam; Matthew Kowal; Sen Jia 002; Konstantinos G. Derpanis; Neil D. B. Bruce (ICCV, 2021)

Shape or Texture: Understanding Discriminative Features in CNNs. - Md. Amirul Islam; Matthew Kowal; Patrick Esser; Sen Jia 002; Björn Ommer; Konstantinos G. Derpanis; Neil D. B. Bruce (ICLR, 2021)

Revisiting Knowledge Graph Embedding: An Alternative Solution to Biased Visual Scene Graphs. - Sen Jia 002; Homa Fashandi (ICMLA, 2023)

Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. - Md. Amirul Islam; Matthew Kowal; Sen Jia 002; Konstantinos G. Derpanis; Neil D. B. Bruce (Int. J. Comput. Vis., 2024)