Shape matching using skeleton context for automated bow echo detection. - Mohammad Mahdi Kamani; Farshid Farhat; Stephen Wistar; James Z. Wang 001 (IEEE BigData, 2016)

Intelligent Portrait Composition Assistance: Integrating Deep-learned Models and Photography Idea Retrieval. - Farshid Farhat; Mohammad Mahdi Kamani; Sahil Mishra; James Z. Wang 001 (ACM Multimedia (Thematic Workshops), 2017)

Take It or Leave It: A Survey Study on Operating System Upgrade Practices. - Sadegh Farhang; Jake Weidman; Mohammad Mahdi Kamani; Jens Grossklags; Peng Liu 005 (ACSAC, 2018)

Skeleton matching with applications in severe weather detection. - Mohammad Mahdi Kamani; Farshid Farhat; Stephen Wistar; James Z. Wang 001 (Appl. Soft Comput., 2018)

Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization. - Farzin Haddadpour; Mohammad Mahdi Kamani; Mehrdad Mahdavi; Viveck R. Cadambe (ICML, 2019)

Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization. - Farzin Haddadpour; Mohammad Mahdi Kamani; Mehrdad Mahdavi; Viveck R. Cadambe (NeurIPS, 2019)

Learning to Quantize Deep Neural Networks: A Competitive-Collaborative Approach. - Md Fahim Faysal Khan; Mohammad Mahdi Kamani; Mehrdad Mahdavi; Vijaykrishnan Narayanan (DAC, 2020)

Targeted Data-driven Regularization for Out-of-Distribution Generalization. - Mohammad Mahdi Kamani; Sadegh Farhang; Mehrdad Mahdavi; James Z. Wang 001 (KDD, 2020)

Distributionally Robust Federated Averaging. - Yuyang Deng; Mohammad Mahdi Kamani; Mehrdad Mahdavi (NeurIPS, 2020)

Adaptive Personalized Federated Learning. - Yuyang Deng; Mohammad Mahdi Kamani; Mehrdad Mahdavi (CoRR, 2020)

Federated Learning with Compression: Unified Analysis and Sharp Guarantees. - Farzin Haddadpour; Mohammad Mahdi Kamani; Aryan Mokhtari; Mehrdad Mahdavi (AISTATS, 2021)

Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation. - Sumanth Chennupati; Mohammad Mahdi Kamani; Zhongwei Cheng; Lin Chen (BMVC, 2021)

Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing. - Mohammad Mahdi Kamani; Rana Forsati; James Z. Wang 001; Mehrdad Mahdavi (CoRR, 2021)

Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time. - Yuyang Deng; Mohammad Mahdi Kamani; Mehrdad Mahdavi (AISTATS, 2022)

Learning Distributionally Robust Models at Scale via Composite Optimization. - Farzin Haddadpour; Mohammad Mahdi Kamani; Mehrdad Mahdavi; Amin Karbasi (ICLR, 2022)

Efficient fair principal component analysis. - Mohammad Mahdi Kamani; Farzin Haddadpour; Rana Forsati; Mehrdad Mahdavi (Mach. Learn., 2022)

CAPTAIN: Comprehensive Composition Assistance for Photo Taking. - Farshid Farhat; Mohammad Mahdi Kamani; James Z. Wang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2022)

FedRule: Federated Rule Recommendation System with Graph Neural Networks. - Yuhang Yao; Mohammad Mahdi Kamani; Zhongwei Cheng; Lin Chen 021; Carlee Joe-Wong; Tianqiang Liu (IoTDI, 2023)

Distributed Personalized Empirical Risk Minimization. - Yuyang Deng; Mohammad Mahdi Kamani; Pouria Mahdavinia; Mehrdad Mahdavi (NeurIPS, 2023)

Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking. - Mohammad Mahdi Kamani; Yuhang Yao; Hanjia Lyu; Zhongwei Cheng; Lin Chen 021; Liangju Li; Carlee Joe-Wong; Jiebo Luo 001 (NeurIPS, 2023)