Question Independent Grading using Machine Learning: The Case of Computer Program Grading. - Gursimran Singh; Shashank Srikant; Varun Aggarwal (KDD, 2016)

Elixir: Efficient Data Transfer in WiFi-based IoT Nodes. - Dheryta Jaisinghani; Gursimran Singh; Harish Fulara; Mukulika Maity; Vinayak Naik (MobiCom, 2018)

Spatio-temporal Relational Reasoning for Video Question Answering. - Gursimran Singh; Leonid Sigal; James J. Little (BMVC, 2019)

Use of Machine Learning to Detect Causes of Unnecessary Active Scanning in WiFi Networks. - Harish Fulara; Gursimran Singh; Dheryta Jaisinghani; Mukulika Maity; Tanmoy Chakraborty 002; Vinayak Naik (WOWMOM, 2019)

Mining Minority-Class Examples with Uncertainty Estimates. - Gursimran Singh; Lingyang Chu; Lanjun Wang; Jian Pei 001; Qi Tian; Yong Zhang 004 (MMM (1), 2022)

Revealing Unfair Models by Mining Interpretable Evidence. - Mohit Bajaj; Lingyang Chu; Vittorio Romaniello; Gursimran Singh; Jian Pei 001; Zirui Zhou; Lanjun Wang; Yong Zhang 004 (CoRR, 2022)

IPProtect: protecting the intellectual property of visual datasets during data valuation. - Gursimran Singh; Chendi Wang; Ahnaf Tazwar; Lanjun Wang; Yong Zhang 004 (CoRR, 2022)

POSTER: A Cyberspace Study of the Russia-Ukraine War. - Gursimran Singh; Hrishikesh B. Acharya (AsiaCCS, 2023)

DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models. - Saeed Ranjbar Alvar; Gursimran Singh; Mohammad Akbari; Yong Zhang (CVPR, 2025)

Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking. - Gursimran Singh; Tianxi Hu; Mohammad Akbari; Qiang Tang; Yong Zhang 004 (WACV, 2025)

Efficiently serving large multimedia models using EPD Disaggregation. - Gursimran Singh; Xinglu Wang; Ivan Hu; Timothy Yu; Linzi Xing; Wei Jiang; Zhefeng Wang; Xiaolong Bai; Yi Li; Ying Xiong; Yong Zhang 004; Zhenan Fan (CoRR, 2025)

DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models. - Saeed Ranjbar Alvar; Gursimran Singh; Mohammad Akbari; Yong Zhang 004 (CoRR, 2025)

Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs. - Morgan Lindsay Heisler; Linzi Xing; Ge Shi; Hanieh Sadri; Gursimran Singh; Weiwei Zhang; Tao Ye; Ying Xiong; Yong Zhang 004; Zhenan Fan (CoRR, 2025)

Programmable Data Planes for Network Security. - Gursimran Singh; Hrishikesh B. Acharya; Minseok Kwon (CoRR, 2025)