Fast GPU Convolution for CP-Decomposed Tensorial Neural Networks. - Alexander Reustle; Tahseen Rabbani; Furong Huang (IntelliSys (1), 2020)

Practical and Fast Momentum-Based Power Methods. - Tahseen Rabbani; Apollo Jain; Arjun Rajkumar; Furong Huang (MSML, 2021)

Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching. - Tahseen Rabbani; Brandon Yushan Feng; Yifan Yang 006; Arjun Rajkumar; Amitabh Varshney; Furong Huang (CoRR, 2021)

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. - Mucong Ding; Tahseen Rabbani; Bang An 001; Evan Wang; Furong Huang (NeurIPS, 2022)

SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. - Marco Bornstein; Tahseen Rabbani; Evan Wang; Amrit S. Bedi; Furong Huang (ICLR, 2023)

Large-Scale Distributed Learning via Private On-Device LSH. - Tahseen Rabbani; Marco Bornstein; Furong Huang (NeurIPS, 2023)

Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing. - Tahseen Rabbani; Marco Bornstein; Furong Huang (CoRR, 2023)

WAVES: Benchmarking the Robustness of Image Watermarks. - Bang An 001; Mucong Ding; Tahseen Rabbani; Aakriti Agrawal; Yuancheng Xu; Chenghao Deng; Sicheng Zhu; Abdirisak Mohamed; Yuxin Wen; Tom Goldstein; Furong Huang (ICML, 2024)

A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM). - Dehao Yuan; Cornelia Fermüller; Tahseen Rabbani; Furong Huang; Yiannis Aloimonos (ICML, 2024)

Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise. - Tahseen Rabbani; Kyle Sang; Furong Huang (ICPRAI (2), 2024)

conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks. - Tahseen Rabbani; Jiahao Su; Xiaoyu Liu 003; David Chan; Geoffrey Sangston; Furong Huang (CoRR, 2024)

Benchmarking the Robustness of Image Watermarks. - Bang An 001; Mucong Ding; Tahseen Rabbani; Aakriti Agrawal; Yuancheng Xu; Chenghao Deng; Sicheng Zhu; Abdirisak Mohamed; Yuxin Wen; Tom Goldstein; Furong Huang (CoRR, 2024)

Calibrated Dataset Condensation for Faster Hyperparameter Search. - Mucong Ding; Yuancheng Xu; Tahseen Rabbani; Xiaoyu Liu 003; Brian J. Gravelle; Teresa M. Ranadive; Tai-Ching Tuan; Furong Huang (CoRR, 2024)

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. - Mucong Ding; Tahseen Rabbani; Bang An 001; Evan Z. Wang; Furong Huang (CoRR, 2024)

HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing. - Minghui Liu; Tahseen Rabbani; Tony O'Halloran; Ananth Sankaralingam; Mary-Anne Hartley; Brian J. Gravelle; Furong Huang; Cornelia Fermüller; Yiannis Aloimonos (CoRR, 2024)

Efficient Models and Learning Strategies for Resource-Constrained Systems. - Tahseen Rabbani (2024)

Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs. - Thierry Bossy; Julien Vignoud; Tahseen Rabbani; Juan Ramón Troncoso-Pastoriza; Martin Jaggi (CoRR, 2025)