Data Mining for the Internet of Things. - Tausifa Jan Saleem; Mohammad Ahsan Chishti (ICDM (Posters), 2019)

Data Analytics in the Internet of Things: A Survey. - Tausifa Jan Saleem; Mohammad Ahsan Chishti (Scalable Comput. Pract. Exp., 2019)

Deep learning for the internet of things: Potential benefits and use-cases. - Tausifa Jan Saleem; Mohammad Ahsan Chishti (Digit. Commun. Networks, 2021)

LPLB: An approach for the design of a lightweight convolutional neural network. - Tausifa Jan Saleem; Mohammad Ahsan Chishti (Concurr. Comput. Pract. Exp., 2022)

Knowledge Distillation in Vision Transformers: A Critical Review. - Gousia Habib; Tausifa Jan Saleem; Brejesh Lall (CoRR, 2023)

Distilling Inductive Bias: Knowledge Distillation Beyond Model Compression. - Gousia Habib; Tausifa Jan Saleem; Brejesh Lall (CoRR, 2023)

Insights into the Lottery Ticket Hypothesis and Iterative Magnitude Pruning. - Tausifa Jan Saleem; Ramanjit Ahuja; Surendra Prasad; Brejesh Lall (CoRR, 2024)

A Comprehensive Review of Knowledge Distillation in Computer Vision. - Sheikh Musa Kaleem; Tufail Rouf; Gousia Habib; Tausifa Jan Saleem; Brejesh Lall (CoRR, 2024)

FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis. - Fadillah Maani; Numan Saeed; Tausifa Jan Saleem; Zaid Farooq; Hussain Alasmawi; Werner Diehl; Ameera Mohammad; Gareth Waring; Saudabi Valappi; Leanne Bricker; Mohammad Yaqub (CoRR, 2025)

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering. - Mai A. Shaaban; Tausifa Jan Saleem; Vijay Ram Papineni; Mohammad Yaqub (CoRR, 2025)