Kayhan Behdin - RankMe

33 papers A* 3A 1Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints. CoRR Jelena Markovic-Voronov, Kayhan Behdin, Yuanda Xu, Zhengze Zhou, Zhipeng Wang, Rahul Mazumder
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
2025	—	`conf`	A unified framework for Sparse plus Low-Rank Matrix Decomposition for LLMs. CPAL Mehdi Makni, Kayhan Behdin, Zheng Xu, Natalia Ponomareva, Rahul Mazumder
2025	J	`jnl`	An Optimization Framework for Differentially Private Sparse Fine-Tuning. CoRR Mehdi Makni, Kayhan Behdin, Gabriel Afriat, Zheng Xu, Sergei Vassilvitskii, Natalia Ponomareva, Hussein Hazimeh, Rahul Mazumder
2025	J	`jnl`	BP-Seg: A graphical model approach to unsupervised and non-contiguous text segmentation using belief propagation. CoRR Fengyi Li, Kayhan Behdin, Natesh S. Pillai, Xiaofeng Wang, Zhipeng Wang, Ercan Yildiz
2025	J	`jnl`	Differentially Private High-dimensional Variable Selection via Integer Programming. CoRR Petros Prastakos, Kayhan Behdin, Rahul Mazumder
2025	J	`jnl`	Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications. CoRR Kayhan Behdin, Yun Dai, Ata Fatahi Baarzi, Aman Gupta, Qingquan Song, Shao Tang, Hejian Sang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Maziar Sanjabi, Vignesh Kothapalli, Hamed Firooz, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Zhipeng Wang, Rahul Mazumder, Natesh S. Pillai, Luke Simon
2025	—	`conf`	Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems. WWW (Companion Volume) Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu
2025	J	`jnl`	HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs. CoRR Mehdi Makni, Kayhan Behdin, Zheng Xu, Natalia Ponomareva, Rahul Mazumder
2025	J	`jnl`	MixLM: High-Throughput and Effective LLM Ranking via Text-Embedding Mix-Interaction. CoRR Guoyao Li, Ran He, Shusen Jing, Kayhan Behdin, Yubo Wang, Sundara Raman Ramachandran, Chanh Nguyen, Jian Sheng, Xiaojing Ma, Chuanrui Zhu, Sriram Vasudevan, Muchen Wu, Sayan Ghosh, Lin Su, Qingquan Song, Xiaoqing Wang, Zhipeng Wang, Qing Lan, Yanning Chen, Jingwei Wu, Luke Simon, Wenjing Zhang, Qi Guo, Fedor Borisyuk
2025	J	`jnl`	Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction. CoRR Ryan Lucas, Kayhan Behdin, Zhipeng Wang, Qingquan Song, Shao Tang, Rahul Mazumder
2025	—	`conf`	SPARTA: An Optimization Framework for Differentially Private Sparse Fine-Tuning. KDD (2) Mehdi Makni, Kayhan Behdin, Gabriel Afriat, Zheng Xu, Sergei Vassilvitskii, Natalia Ponomareva, Rahul Mazumder, Hussein Hazimeh
2025	—	`conf`	Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems. EMNLP (Industry Track) Kayhan Behdin, Ata Fatahi Baarzi, Qingquan Song, Yun Dai, Aman Gupta, Zhipeng Wang, Hejian Sang, Shao Tang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Vignesh Kothapalli, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Natesh S. Pillai, Luke Simon, Rahul Mazumder
2025	J	`jnl`	Scaling Up Efficient Small Language Models Serving and Deployment for Semantic Job Search. CoRR Kayhan Behdin, Qingquan Song, Sriram Vasudevan, Jian Sheng, Xiaojing Ma, Z. Zhou, Chuanrui Zhu, Guoyao Li, Chanh Nguyen, Sayan Ghosh, Hejian Sang, Ata Fatahi Baarzi, Sundara Raman Ramachandran, Xiaoqing Wang, Qing Lan, Vinay Y. S, Qi Guo, Caleb Johnson, Zhipeng Wang, Fedor Borisyuk
2024	A*	`conf`	ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models. NeurIPS Xiang Meng, Kayhan Behdin, Haoyue Wang, Rahul Mazumder
2024	J	`jnl`	ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models. CoRR Xiang Meng, Kayhan Behdin, Haoyue Wang, Rahul Mazumder
2024	A	`conf`	End-to-end Feature Selection Approach for Learning Skinny Trees. AISTATS Shibal Ibrahim, Kayhan Behdin, Rahul Mazumder
2024	A*	`conf`	OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization. ICML Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder
2024	J	`jnl`	OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization. CoRR Xiang Meng, Shibal Ibrahim, Kayhan Behdin, Hussein Hazimeh, Natalia Ponomareva, Rahul Mazumder
2024	J	`jnl`	Sparse NMF with Archetypal Regularization: Computational and Robustness Properties. J. Mach. Learn. Res. Kayhan Behdin, Rahul Mazumder
2023	J	`jnl`	End-to-end Feature Selection Approach for Learning Skinny Trees. CoRR Shibal Ibrahim, Kayhan Behdin, Rahul Mazumder
2023	A*	`conf`	GRAND-SLAMIN' Interpretable Additive Modeling with Structural Constraints. NeurIPS Shibal Ibrahim, Gabriel Afriat, Kayhan Behdin, Rahul Mazumder
2023	J	`jnl`	QuantEase: Optimization-based Quantization for Language Models - An Efficient and Intuitive Algorithm. CoRR Kayhan Behdin, Ayan Acharya, Aman Gupta, Sathiya Keerthi Selvaraj, Rahul Mazumder
2023	J	`jnl`	Sharpness-Aware Minimization: An Implicit Regularization Perspective. CoRR Kayhan Behdin, Rahul Mazumder
2023	J	`jnl`	Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives. CoRR Kayhan Behdin, Wenyu Chen, Rahul Mazumder
2023	J	`jnl`	mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization. CoRR Kayhan Behdin, Qingquan Song, Aman Gupta, Ayan Acharya, David Durfee, Borja Ocejo, S. Sathiya Keerthi, Rahul Mazumder
2022	J	`jnl`	Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization. CoRR Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, S. Sathiya Keerthi, Rahul Mazumder
2021	J	`jnl`	Archetypal Analysis for Sparse Nonnegative Matrix Factorization: Robustness Under Misspecification. CoRR Kayhan Behdin, Rahul Mazumder
2020	J	`jnl`	Missing Low-Rank and Sparse Decomposition Based on Smoothed Nuclear Norm. IEEE Trans. Circuits Syst. Video Technol. Masoumeh Azghani, Ashkan Esmaeili, Kayhan Behdin, Farokh Marvasti
2020	J	`jnl`	Transductive multi-label learning from missing data using smoothed rank function. Pattern Anal. Appl. Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian, Farokh Marvasti
2018	J	`jnl`	Recovering Quantized Data with Missing Information Using Bilinear Factorization and Augmented Lagrangian Method. CoRR Ashkan Esmaeili, Kayhan Behdin, Sina Al-E.-Mohammad, Farokh Marvasti
2018	J	`jnl`	Transduction with Matrix Completion Using Smoothed Rank Function. CoRR Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian, Farokh Marvasti
2017	J	`jnl`	OBTAIN: Real-Time Beat Tracking in Audio Signals. CoRR Ali Mottaghi, Kayhan Behdin, Ashkan Esmaeili, Mohammadreza Heydari, Farrokh Marvasti