Morteza Ramezani

14 papers A* 4Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Semantic Search At LinkedIn. CoRR Fedor Borisyuk, Sriram Vasudevan, Muchen Wu, Guoyao Li, Benjamin Le, Shaobo Zhang, Kay Qianqi Shen, Yuchin Juan, Kayhan Behdin, Liming Dong, Kaixu Yang, Shusen Jing, Ravi Pothamsetty, Rajat Arora, Sophie Yanying Sheng, Vitaly Abdrashitov, Yang Zhao, Lin Su, Xiaoqing Wang, Chujie Zheng, Sarang Metkar, Rupesh Gupta, Igor Lapchuk, David N. Racca, Madhumitha Mohan, Yanbo Li, Haojun Li, Saloni Gandhi, Xueying Lu, Chetan Bhole, Ali Hooshmand, Xin Yang, Raghavan Muthuregunathan, Jiajun Zhang, Mathew Teoh, Adam Coler, Abhinav Gupta, Xiaojing Ma, Sundara Raman Ramachandran, Morteza Ramezani, Yubo Wang, Lijuan Zhang, Richard Li, Jian Sheng, Chanh Nguyen, Yen-Chi Chen, Chuanrui Zhu, Claire Zhang, Jiahao Xu, Deepti Kulkarni, Qing Lan, Arvind Subramaniam, Ata Fatahi Baarzi, Steven Shimizu, Yanning Chen, Zhipeng Wang, Ran He, Zhengze Zhou, Qingquan Song, Yun Dai, Caleb Johnson, Ping Liu, Shaghayegh Gharghabi, Gokulraj Mohanasundaram, Juan Bottaro, Santhosh Sachindran, Qi Guo, Yunxiang Ren, Chengming Jiang, Di Mo, Luke Simon, Jianqiang Shen, Jingwei Wu, Wenjing Zhang
2024	A*	`conf`	LiGNN: Graph Neural Networks at LinkedIn. KDD Fedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani, Peng Du, Xiaochen Hou, Chengming Jiang, Nitin Pasumarthy, Priya Bannur, Birjodh Singh Tiwana, Ping Liu, Siddharth Dangi, Daqi Sun, Zhoutao Pei, Xiao Shi, Sirou Zhu, Qianqi Shen, Kuang-Hsuan Lee, David Stein, Baolei Li, Haichao Wei, Amol Ghoting, Souvik Ghosh
2024	J	`jnl`	LiGNN: Graph Neural Networks at LinkedIn. CoRR Fedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani, Peng Du, Xiaochen Hou, Chengming Jiang, Nitin Pasumarthy, Priya Bannur, Birjodh Singh Tiwana, Ping Liu, Siddharth Dangi, Daqi Sun, Zhoutao Pei, Xiao Shi, Sirou Zhu, Qianqi Shen, Kuang-Hsuan Lee, David Stein, Baolei Li, Haichao Wei, Amol Ghoting, Souvik Ghosh
2022	—	`conf`	GraphGuess: Approximate Graph Processing System with Adaptive Correction. Euro-Par Morteza Ramezani, Mahmut T. Kandemir, Anand Sivasubramaniam
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	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
2021	J	`jnl`	GraphGuess: Approximate Graph Processing System with Adaptive Correction. CoRR Morteza Ramezani, Anand Sivasubramaniam, Mahmut T. Kandemir
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	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
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
2017	—	`conf`	Exploring the impact of memory block permutation on performance of a crossbar ReRAM main memory. IISWC Morteza Ramezani, Nima Elyasi, Mohammad Arjomand, Mahmut T. Kandemir, Anand Sivasubramaniam
2014	J	`jnl`	CEDAR: Modeling impact of component error derating and read frequency on system-level vulnerability in high-performance processors. Microelectron. Reliab. Hossein Asadi, Alireza Haghdoost, Morteza Ramezani, Nima Elyasi, Amirali Baniasadi