Robust energy-based least squares twin support vector machines. - Muhammad Tanveer 001; Mohammad Asif Khan 001; Shen-Shyang Ho (Appl. Intell., 2016)

Neuro-symbolic representation learning on biological knowledge graphs. - Mona Alshahrani; Mohammad Asif Khan 001; Omar Maddouri; Akira R. Kinjo; Núria Queralt-Rosinach; Robert Hoehndorf (Bioinform., 2017)

DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier. - Maxat Kulmanov; Mohammad Asif Khan 001; Robert Hoehndorf (Bioinform., 2018)

Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking. - Anna Kukleva; Mohammad Asif Khan 001; Hafez Farazi; Sven Behnke (RoboCup, 2019)

Incorporating Literals into Knowledge Graph Embeddings. - Agustinus Kristiadi; Mohammad Asif Khan 001; Denis Lukovnikov; Jens Lehmann 001; Asja Fischer (ISWC (1), 2019)

Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency. - Mohammad Asif Khan 001; Fabien Cardinaux; Stefan Uhlich; Marc Ferras; Asja Fischer (CoRR, 2020)

Hamiltonian Operator Disentanglement of Content and Motion in Image Sequences. - Mohammad Asif Khan 001; Amos J. Storkey (CoRR, 2021)

Hamiltonian Latent Operators for content and motion disentanglement in image sequences. - Asif Khan 008; Amos J. Storkey (NeurIPS, 2022)

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation. - Mohammad Asif Khan 001; Alexander I. Cowen-Rivers; Derrick-Goh-Xin Deik; Antoine Grosnit; Kamil Dreczkowski; Philippe A. Robert; Victor Greiff; Rasul Tutunov; Dany Bou-Ammar; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2022)

Adversarial robustness of β-VAE through the lens of local geometry. - Asif Khan 008; Amos J. Storkey (CoRR, 2022)

Structured Q-learning For Antibody Design. - Alexander I. Cowen-Rivers; Philip John Gorinski; Aivar Sootla; Asif Khan 008; Furui Liu; Jun Wang 012; Jan Peters 001; Haitham Bou-Ammar (CoRR, 2022)