Mehrdad Mahdavi

122 papers A* 27A 10B 1Misc 1Journal 74Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Harnessing Optimization Dynamics for Curvature-Informed Model Merging. CoRR Pouria Mahdavinia, Hamed Mahdavi, Niloofar Mireshghallah, Mehrdad Mahdavi
2025	J	`jnl`	Low-rank Momentum Factorization for Memory Efficient Training. CoRR Pouria Mahdavinia, Mehrdad Mahdavi
2025	J	`jnl`	Low-rank Momentum Factorization for Memory Efficient Training. Trans. Mach. Learn. Res. Pouria Mahdavinia, Mehrdad Mahdavi
2025	J	`jnl`	Merge before Forget: A Single LoRA Continual Learning via Continual Merging. CoRR Fuli Qiao, Mehrdad Mahdavi
2025	J	`jnl`	Model Merging via Multi-Teacher Knowledge Distillation. CoRR Seyed Arshan Dalili, Mehrdad Mahdavi
2025	A	`conf`	NaviSense: A Multimodal Assistive Mobile application for Object Retrieval by Persons with Visual Impairment. ASSETS Ajay Narayanan Sridhar, Fuli Qiao, Nelson Daniel Troncoso Aldas, Yanpei Shi, Mehrdad Mahdavi, Laurent Itti, Vijaykrishnan Narayanan
2025	J	`jnl`	NaviSense: A Multimodal Assistive Mobile application for Object Retrieval by Persons with Visual Impairment. CoRR Ajay Narayanan Sridhar, Fuli Qiao, Nelson Daniel Troncoso Aldas, Yanpei Shi, Mehrdad Mahdavi, Laurent Itti, Vijaykrishnan Narayanan
2025	J	`jnl`	On the Convergence and Stability of Distributed Sub-model Training. CoRR Yuyang Deng, Fuli Qiao, Mehrdad Mahdavi
2025	J	`jnl`	Quantum Speedups for Markov Chain Monte Carlo Methods with Application to Optimization. CoRR Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi, Chunhao Wang
2025	A	`conf`	Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees. AISTATS Yuyang Deng, Fuli Qiao, Mehrdad Mahdavi
2024	A*	`conf`	Learn more, but bother less: parameter efficient continual learning. NeurIPS Fuli Qiao, Mehrdad Mahdavi
2024	A	`conf`	On the Generalization Ability of Unsupervised Pretraining. AISTATS Yuyang Deng, Junyuan Hong, Jiayu Zhou, Mehrdad Mahdavi
2024	J	`jnl`	On the Generalization Ability of Unsupervised Pretraining. CoRR Yuyang Deng, Junyuan Hong, Jiayu Zhou, Mehrdad Mahdavi
2024	J	`jnl`	On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method. CoRR Weilin Cong, Jian Kang, Hanghang Tong, Mehrdad Mahdavi
2024	J	`jnl`	Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees. CoRR Yuyang Deng, Fuli Qiao, Mehrdad Mahdavi
2024	A*	`conf`	Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions. ICML Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi, Chunhao Wang
2023	A*	`conf`	Distributed Personalized Empirical Risk Minimization. NeurIPS Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi
2023	J	`jnl`	Distributed Personalized Empirical Risk Minimization. CoRR Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi
2023	A*	`conf`	Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi
2023	J	`jnl`	Do We Really Need Complicated Model Architectures For Temporal Networks? CoRR Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi
2023	A	`conf`	DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability. SDM Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun-cheng Jason Chen, Mehrdad Mahdavi
2023	A	`conf`	Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection. AISTATS Weilin Cong, Mehrdad Mahdavi
2023	J	`jnl`	Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection. CoRR Weilin Cong, Mehrdad Mahdavi
2023	A*	`conf`	Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation. NeurIPS Yuyang Deng, Ilja Kuzborskij, Mehrdad Mahdavi
2023	J	`jnl`	Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation. CoRR Yuyang Deng, Ilja Kuzborskij, Mehrdad Mahdavi
2023	J	`jnl`	On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space. CoRR Yuyang Deng, Nidham Gazagnadou, Junyuan Hong, Mehrdad Mahdavi, Lingjuan Lyu
2023	J	`jnl`	Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions. CoRR Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi, Chunhao Wang
2023	A*	`conf`	Understanding Deep Gradient Leakage via Inversion Influence Functions. NeurIPS Haobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou
2023	J	`jnl`	Understanding Deep Gradient Leakage via Inversion Influence Functions. CoRR Haobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou
2023	J	`jnl`	Understanding the Structural Components Behind the Psychological Effects of Autonomous Sensory Meridian Response (ASMR) With Machine Learning and Experimental Methods. J. Media Psychol. Theor. Methods Appl. Ryan Tan, Heather Shoenberger, Weilin Cong, Mehrdad Mahdavi
2022	J	`jnl`	Communication-Efficient $k$k-Means for Edge-Based Machine Learning. IEEE Trans. Parallel Distributed Syst. Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2022	J	`jnl`	Efficient fair principal component analysis. Mach. Learn. Mohammad Mahdi Kamani, Farzin Haddadpour, Rana Forsati, Mehrdad Mahdavi
2022	A*	`conf`	Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks. ICLR Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut T. Kandemir, Anand Sivasubramaniam
2022	A*	`conf`	Learning Distributionally Robust Models at Scale via Composite Optimization. ICLR Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi
2022	J	`jnl`	Learning Distributionally Robust Models at Scale via Composite Optimization. CoRR Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Amin Karbasi
2022	A	`conf`	Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time. AISTATS Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
2022	J	`jnl`	Predicting Protein-Ligand Docking Structure with Graph Neural Network. J. Chem. Inf. Model. Huaipan Jiang, Jian Wang, Weilin Cong, Yihe Huang, Morteza Ramezani, Anup Sarma, Nikolay V. Dokholyan, Mehrdad Mahdavi, Mahmut T. Kandemir
2022	A*	`conf`	Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems. NeurIPS Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi
2022	J	`jnl`	Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems. CoRR Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi
2021	J	`jnl`	Communication-efficient k-Means for Edge-based Machine Learning. CoRR Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2021	J	`jnl`	Distributionally Robust Federated Averaging. CoRR Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
2021	J	`jnl`	Dynamic Graph Representation Learning via Graph Transformer Networks. CoRR Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Mehrdad Mahdavi, Chun-cheng Jason Chen
2021	A	`conf`	Federated Learning with Compression: Unified Analysis and Sharp Guarantees. AISTATS Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi
2021	J	`jnl`	Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks. CoRR Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut T. Kandemir, Anand Sivasubramaniam
2021	J	`jnl`	Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time. CoRR Yuyang Deng, Mehrdad Mahdavi
2021	A	`conf`	Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency. AISTATS Yuyang Deng, Mehrdad Mahdavi
2021	J	`jnl`	Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency. CoRR Yuyang Deng, Mehrdad Mahdavi
2021	A*	`conf`	Meta-learning with an Adaptive Task Scheduler. NeurIPS Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn
2021	J	`jnl`	Meta-learning with an Adaptive Task Scheduler. CoRR Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn
2021	A*	`conf`	On Provable Benefits of Depth in Training Graph Convolutional Networks. NeurIPS Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi
2021	J	`jnl`	On Provable Benefits of Depth in Training Graph Convolutional Networks. CoRR Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi
2021	J	`jnl`	On the Importance of Sampling in Learning Graph Convolutional Networks. CoRR Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi
2021	J	`jnl`	Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing. CoRR Mohammad Mahdi Kamani, Rana Forsati, James Z. Wang, Mehrdad Mahdavi
2020	J	`jnl`	Adaptive Personalized Federated Learning. CoRR Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
2020	A	`conf`	Communication-efficient k-Means for Edge-based Machine Learning. ICDCS Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2020	A*	`conf`	Distributionally Robust Federated Averaging. NeurIPS Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
2020	J	`jnl`	Federated Learning with Compression: Unified Analysis and Sharp Guarantees. CoRR Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari, Mehrdad Mahdavi
2020	A*	`conf`	GCN meets GPU: Decoupling "When to Sample" from "How to Sample". NeurIPS Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Anand Sivasubramaniam, Mahmut T. Kandemir
2020	J	`jnl`	Guiding Conventional Protein-Ligand Docking Software with Convolutional Neural Networks. J. Chem. Inf. Model. Huaipan Jiang, Mengran Fan, Jian Wang, Anup Sarma, Shruti Mohanty, Nikolay V. Dokholyan, Mehrdad Mahdavi, Mahmut T. Kandemir
2020	A*	`conf`	Learning to Quantize Deep Neural Networks: A Competitive-Collaborative Approach. DAC Md Fahim Faysal Khan, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Vijaykrishnan Narayanan
2020	A*	`conf`	Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks. KDD Weilin Cong, Rana Forsati, Mahmut T. Kandemir, Mehrdad Mahdavi
2020	J	`jnl`	Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks. CoRR Weilin Cong, Rana Forsati, Mahmut T. Kandemir, Mehrdad Mahdavi
2020	A*	`conf`	Online Structured Meta-learning. NeurIPS Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong
2020	J	`jnl`	Online Structured Meta-learning. CoRR Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong
2020	A*	`conf`	Targeted Data-driven Regularization for Out-of-Distribution Generalization. KDD Mohammad Mahdi Kamani, Sadegh Farhang, Mehrdad Mahdavi, James Z. Wang
2019	J	`jnl`	Efficient Fair Principal Component Analysis. CoRR Mohammad Mahdi Kamani, Farzin Haddadpour, Rana Forsati, Mehrdad Mahdavi
2019	B	`conf`	Learning Feature Nonlinearities with Regularized Binned Regression. ISIT Samet Oymak, Mehrdad Mahdavi, Jiasi Chen
2019	A*	`conf`	Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization. NeurIPS Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe
2019	J	`jnl`	Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization. CoRR Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe
2019	—	`conf`	Mixed Precision Quantization Scheme for Re-configurable ReRAM Crossbars Targeting Different Energy Harvesting Scenarios. IFIPIoT Md Fahim Faysal Khan, Nicholas Anton Jao, Changchi Shuai, Keni Qiu, Mehrdad Mahdavi, Vijaykrishnan Narayanan
2019	J	`jnl`	On the Convergence of Local Descent Methods in Federated Learning. CoRR Farzin Haddadpour, Mehrdad Mahdavi
2019	A*	`conf`	Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization. ICML Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi, Viveck R. Cadambe
2017	J	`jnl`	Learning Feature Nonlinearities with Non-Convex Regularized Binned Regression. CoRR Samet Oymak, Mehrdad Mahdavi, Jiasi Chen
2017	A	`conf`	Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data. AISTATS Jialei Wang, Jason D. Lee, Mehrdad Mahdavi, Mladen Kolar, Nati Srebro
2016	J	`jnl`	Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data. CoRR Jialei Wang, Jason D. Lee, Mehrdad Mahdavi, Mladen Kolar, Nathan Srebro
2016	A*	`conf`	Train and Test Tightness of LP Relaxations in Structured Prediction. ICML Ofer Meshi, Mehrdad Mahdavi, Adrian Weller, David A. Sontag
2015	J	`jnl`	An efficient primal dual prox method for non-smooth optimization. Mach. Learn. Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu
2015	A*	`conf`	Lower and Upper Bounds on the Generalization of Stochastic Exponentially Concave Optimization. COLT Mehrdad Mahdavi, Lijun Zhang, Rong Jin
2015	J	`jnl`	On the Tightness of LP Relaxations for Structured Prediction. CoRR Ofer Meshi, Mehrdad Mahdavi, David A. Sontag
2015	—	`conf`	Smooth and Strong: MAP Inference with Linear Convergence. NIPS Ofer Meshi, Mehrdad Mahdavi, Alexander G. Schwing
2014	J	`jnl`	Binary Excess Risk for Smooth Convex Surrogates. CoRR Mehrdad Mahdavi, Lijun Zhang, Rong Jin
2014	J	`jnl`	Excess Risk Bounds for Exponentially Concave Losses. CoRR Mehrdad Mahdavi, Rong Jin
2014	J	`jnl`	Exploiting Smoothness in Statistical Learning, Sequential Prediction, and Stochastic Optimization. CoRR Mehrdad Mahdavi
2014	J	`jnl`	Matrix Factorization with Explicit Trust and Distrust Relationships. CoRR Rana Forsati, Mehrdad Mahdavi, Mehrnoush Shamsfard, Mohamed Sarwat
2014	J	`jnl`	Matrix Factorization with Explicit Trust and Distrust Side Information for Improved Social Recommendation. ACM Trans. Inf. Syst. Rana Forsati, Mehrdad Mahdavi, Mehrnoush Shamsfard, Mohamed Sarwat
2014	J	`jnl`	Random Projections for Classification: A Recovery Approach. IEEE Trans. Inf. Theory Lijun Zhang, Mehrdad Mahdavi, Rong Jin, Tianbao Yang, Shenghuo Zhu
2014	J	`jnl`	Regret bounded by gradual variation for online convex optimization. Mach. Learn. Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu
2013	J	`jnl`	Efficient stochastic algorithms for document clustering. Inf. Sci. Rana Forsati, Mehrdad Mahdavi, Mehrnoush Shamsfard, Mohammad Reza Meybodi
2013	J	`jnl`	Improved Bounds for the Nyström Method With Application to Kernel Classification. IEEE Trans. Inf. Theory Rong Jin, Tianbao Yang, Mehrdad Mahdavi, Yufeng Li, Zhi-Hua Zhou
2013	J	`jnl`	Improving the Minimax Rate of Active Learning. CoRR Lijun Zhang, Mehrdad Mahdavi, Rong Jin
2013	—	`conf`	Linear Convergence with Condition Number Independent Access of Full Gradients. NIPS Lijun Zhang, Mehrdad Mahdavi, Rong Jin
2013	—	`conf`	Mixed Optimization for Smooth Functions. NIPS Mehrdad Mahdavi, Lijun Zhang, Rong Jin
2013	J	`jnl`	MixedGrad: An O(1/T) Convergence Rate Algorithm for Stochastic Smooth Optimization. CoRR Mehrdad Mahdavi, Rong Jin
2013	J	`jnl`	Passive Learning with Target Risk CoRR Mehrdad Mahdavi, Rong Jin
2013	A*	`conf`	Passive Learning with Target Risk. COLT Mehrdad Mahdavi, Rong Jin
2013	A*	`conf`	Recovering the Optimal Solution by Dual Random Projection. COLT Lijun Zhang, Mehrdad Mahdavi, Rong Jin, Tianbao Yang, Shenghuo Zhu
2013	J	`jnl`	Sparse Multiple Kernel Learning with Geometric Convergence Rate CoRR Rong Jin, Tianbao Yang, Mehrdad Mahdavi
2013	—	`conf`	Stochastic Convex Optimization with Multiple Objectives. NIPS Mehrdad Mahdavi, Tianbao Yang, Rong Jin
2012	J	`jnl`	An Efficient Primal-Dual Prox Method for Non-Smooth Optimization CoRR Tianbao Yang, Rong Jin, Mehrdad Mahdavi, Shenghuo Zhu
2012	J	`jnl`	An Improved Bound for the Nystrom Method for Large Eigengap CoRR Mehrdad Mahdavi, Tianbao Yang, Rong Jin
2012	J	`jnl`	Efficient Constrained Regret Minimization CoRR Mehrdad Mahdavi, Tianbao Yang, Rong Jin
2012	J	`jnl`	Multiple Kernel Learning from Noisy Labels by Stochastic Programming CoRR Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Lijun Zhang, Yang Zhou
2012	A*	`conf`	Multiple Kernel Learning from Noisy Labels by Stochastic Programming. ICML Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Lijun Zhang, Yang Zhou
2012	—	`conf`	Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison. NIPS Tianbao Yang, Yufeng Li, Mehrdad Mahdavi, Rong Jin, Zhi-Hua Zhou
2012	A*	`conf`	Online Kernel Selection: Algorithms and Evaluations. AAAI Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven C. H. Hoi
2012	A*	`conf`	Online Optimization with Gradual Variations. COLT Chao-Kai Chiang, Tianbao Yang, Chia-Jung Lee, Mehrdad Mahdavi, Chi-Jen Lu, Rong Jin, Shenghuo Zhu
2012	J	`jnl`	Online Stochastic Optimization with Multiple Objectives CoRR Mehrdad Mahdavi, Tianbao Yang, Rong Jin
2012	J	`jnl`	Recovering Optimal Solution by Dual Random Projection CoRR Lijun Zhang, Mehrdad Mahdavi, Rong Jin, Tianbao Yang
2012	A*	`conf`	Robust Ensemble Clustering by Matrix Completion. ICDM Jinfeng Yi, Tianbao Yang, Rong Jin, Anil K. Jain, Mehrdad Mahdavi
2012	—	`conf`	Stochastic Gradient Descent with Only One Projection. NIPS Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu, Jinfeng Yi
2012	J	`jnl`	Trading regret for efficiency: online convex optimization with long term constraints. J. Mach. Learn. Res. Mehrdad Mahdavi, Rong Jin, Tianbao Yang
2011	J	`jnl`	Improved Bound for the Nystrom's Method and its Application to Kernel Classification CoRR Rong Jin, Tianbao Yang, Mehrdad Mahdavi
2011	J	`jnl`	Regret Bound by Variation for Online Convex Optimization CoRR Tianbao Yang, Rong Jin, Mehrdad Mahdavi
2011	J	`jnl`	Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints CoRR Mehrdad Mahdavi, Rong Jin, Tianbao Yang
2010	—	`ch.`	Web Text Mining Using Harmony Search. Recent Advances In Harmony Search Algorithm Rana Forsati, Mehrdad Mahdavi
2009	J	`jnl`	Harmony Data Min. Knowl. Discov. Mehrdad Mahdavi, Hassan Abolhassani
2008	Misc	`conf`	Bandwidth-Delay Constrained Least Cost Multicast Routing for Multimedia Communication. CSICC Mehrdad Mahdavi, Rana Forsati, Ali Movaghar
2008	J	`jnl`	Global-best harmony search. Appl. Math. Comput. Mahamed G. H. Omran, Mehrdad Mahdavi
2008	J	`jnl`	Harmony search based algorithms for bandwidth-delay-constrained least-cost multicast routing. Comput. Commun. Rana Forsati, A. T. Haghighat, Mehrdad Mahdavi
2008	—	`conf`	Hybridization of K-Means and Harmony Search Methods for Web Page Clustering. Web Intelligence Rana Forsati, Mohammad Reza Meybodi, Mehrdad Mahdavi, Azadeh Ghari Neiat
2008	J	`jnl`	Novel meta-heuristic algorithms for clustering web documents. Appl. Math. Comput. Mehrdad Mahdavi, Morteza Haghir Chehreghani, Hassan Abolhassani, Rana Forsati
2007	J	`jnl`	An improved harmony search algorithm for solving optimization problems. Appl. Math. Comput. Mehrdad Mahdavi, Mohammad Fesanghary, Ebrahim Damangir