Vahid Noroozi - RankMe

49 papers A* 1A 4B 3C 3Misc 3Journal 24Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Generative Selection for Best-of-N. CoRR Shubham Toshniwal, Aleksander Ficek, Siddhartha Jain, Wei Du, Vahid Noroozi, Sadegh Mahdavi, Somshubra Majumdar, Igor Gitman
2025	—	`conf`	Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models. ACL (6) Somshubra Majumdar, Vahid Noroozi, Mehrzad Samadi, Sean Narenthiran, Aleksander Ficek, Wasi Uddin Ahmad, Jocelyn Huang, Jagadeesh Balam, Boris Ginsburg
2025	J	`jnl`	OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs. CoRR Wasi Uddin Ahmad, Aleksander Ficek, Mehrzad Samadi, Jocelyn Huang, Vahid Noroozi, Somshubra Majumdar, Boris Ginsburg
2025	J	`jnl`	OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique. CoRR Wasi Uddin Ahmad, Somshubra Majumdar, Aleksander Ficek, Sean Narenthiran, Mehrzad Samadi, Jocelyn Huang, Siddhartha Jain, Vahid Noroozi, Boris Ginsburg
2025	J	`jnl`	OpenCodeReasoning: Advancing Data Distillation for Competitive Coding. CoRR Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, Aleksander Ficek, Siddhartha Jain, Jocelyn Huang, Vahid Noroozi, Boris Ginsburg
2025	J	`jnl`	Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models. CoRR Mehrzad Samadi, Aleksander Ficek, Sean Narenthiran, Siddhartha Jain, Wasi Uddin Ahmad, Somshubra Majumdar, Vahid Noroozi, Boris Ginsburg
2025	J	`jnl`	Scoring Verifiers: Evaluating Synthetic Verification in Code and Reasoning. CoRR Aleksander Ficek, Somshubra Majumdar, Vahid Noroozi, Boris Ginsburg
2024	J	`jnl`	Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks. CoRR Chien-yu Huang, Wei-Chih Chen, Shu-Wen Yang, Andy T. Liu, Chen-An Li, Yu-Xiang Lin, Wei-Cheng Tseng, Anuj Diwan, Yi-Jen Shih, Jiatong Shi, William Chen, Xuanjun Chen, Chi-Yuan Hsiao, Puyuan Peng, Shih-Heng Wang, Chun-Yi Kuan, Ke-Han Lu, Kai-Wei Chang, Chih-Kai Yang, Fabian Ritter Gutierrez, Ming To Chuang, Kuan-Po Huang, Siddhant Arora, You-Kuan Lin, Eunjung Yeo, Kalvin Chang, Chung-Ming Chien, Kwanghee Choi, Cheng-Hsiu Hsieh, Yi-Cheng Lin, Chee-En Yu, I-Hsiang Chiu, Heitor R. Guimarães, Jionghao Han, Tzu-Quan Lin, Tzu-Yuan Lin, Homu Chang, Ting-Wu Chang, Chun Wei Chen, Shou-Jen Chen, Yu-Hua Chen, Hsi-Chun Cheng, Kunal Dhawan, Jia-Lin Fang, Shi-Xin Fang, Kuan-Yu Fang Chiang, Chi An Fu, Hsien-Fu Hsiao, Ching Yu Hsu, Shao-Syuan Huang, Lee Chen Wei, Hsi-Che Lin, Hsuan-Hao Lin, Hsuan-Ting Lin, Jian-Ren Lin, Ting-Chun Liu, Li-Chun Lu, Tsung-Min Pai, Ankita Pasad, Shih-Yun Shan Kuan, Suwon Shon, Yuxun Tang, Yun-Shao Tsai, Jui-Chiang Wei, Tzu-Chieh Wei, Chengxi Wu, Dien-Ruei Wu, Chao-Han Huck Yang, Chieh-Chi Yang, Jia Qi Yip, Shao-Xiang Yuan, Vahid Noroozi, Zhehuai Chen, Haibin Wu, Karen Livescu, David Harwath, Shinji Watanabe, Hung-yi Lee
2024	J	`jnl`	Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models. CoRR Somshubra Majumdar, Vahid Noroozi, Sean Narenthiran, Aleksander Ficek, Jagadeesh Balam, Boris Ginsburg
2024	A	`conf`	Instruction Data Generation and Unsupervised Adaptation for Speech Language Models. INTERSPEECH Vahid Noroozi, Zhehuai Chen, Somshubra Majumdar, Steve Huang, Jagadeesh Balam, Boris Ginsburg
2024	J	`jnl`	Instruction Data Generation and Unsupervised Adaptation for Speech Language Models. CoRR Vahid Noroozi, Zhehuai Chen, Somshubra Majumdar, Steve Huang, Jagadeesh Balam, Boris Ginsburg
2024	Misc	`conf`	Investigating End-to-End ASR Architectures for Long Form Audio Transcription. ICASSP Nithin Rao Koluguri, Samuel Kriman, Georgy Zelenfroind, Somshubra Majumdar, Dima Rekesh, Vahid Noroozi, Jagadeesh Balam, Boris Ginsburg
2024	Misc	`conf`	Stateful Conformer with Cache-Based Inference for Streaming Automatic Speech Recognition. ICASSP Vahid Noroozi, Somshubra Majumdar, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg
2023	C	`conf`	Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition. ASRU Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleksii Hrinchuk, Krishna C. Puvvada, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg
2023	J	`jnl`	Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition. CoRR Dima Rekesh, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleksii Hrinchuk, Ankur Kumar, Boris Ginsburg
2023	J	`jnl`	Investigating End-to-End ASR Architectures for Long Form Audio Transcription. CoRR Nithin Rao Koluguri, Samuel Kriman, Georgy Zelenfroind, Somshubra Majumdar, Dima Rekesh, Vahid Noroozi, Jagadeesh Balam, Boris Ginsburg
2023	J	`jnl`	Stateful Conformer with Cache-based Inference for Streaming Automatic Speech Recognition. CoRR Vahid Noroozi, Somshubra Majumdar, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg
2022	—	`conf`	NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022. IWSLT@ACL Oleksii Hrinchuk, Vahid Noroozi, Ashwinkumar Ganesan, Sarah Campbell, Sandeep Subramanian, Somshubra Majumdar, Oleksii Kuchaiev
2021	J	`jnl`	I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications. CoRR Nooshin Mojab, Vahid Noroozi, Abdullah Aleem, Manoj Prabhakar Nallabothula, Joseph Baker, Dimitri T. Azar, Mark Rosenblatt, R. V. Paul Chan, Darvin Yi, Philip S. Yu, Joelle A. Hallak
2021	—	`conf`	I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications. HEALTHINF Nooshin Mojab, Vahid Noroozi, Abdullah Aleem, Manoj Prabhakar Nallabothula, Joseph Baker, Dimitri T. Azar, Mark Rosenblatt, R. V. Paul Chan, Darvin Yi, Philip S. Yu, Joelle A. Hallak
2021	J	`jnl`	SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services. CoRR Yang Zhang, Vahid Noroozi, Evelina Bakhturina, Boris Ginsburg
2021	A	`conf`	SPGISpeech: 5, 000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition. Interspeech Patrick K. O'Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe, Georg Kucsko
2021	J	`jnl`	SPGISpeech: 5, 000 hours of transcribed financial audio for fully formatted end-to-end speech recognition. CoRR Patrick K. O'Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe, Georg Kucsko
2020	—	`conf`	A Fast and Robust BERT-based Dialogue State Tracker for Schema Guided Dialogue Dataset. Converse@KDD Vahid Noroozi, Yang Zhang, Evelina Bakhturina, Tomasz Kornuta
2020	J	`jnl`	A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset. CoRR Vahid Noroozi, Yang Zhang, Evelina Bakhturina, Tomasz Kornuta
2020	C	`conf`	Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. ICMLA Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak
2020	J	`jnl`	Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. CoRR Nooshin Mojab, Vahid Noroozi, Darvin Yi, Manoj Prabhakar Nallabothula, Abdullah Aleem, Philip S. Yu, Joelle A. Hallak
2019	Misc	`conf`	Deep Multi-Task Learning for Interpretable Glaucoma Detection. IRI Nooshin Mojab, Vahid Noroozi, Philip S. Yu, Joelle A. Hallak
2019	C	`conf`	Leveraging Semi-Supervised Learning for Fairness using Neural Networks. ICMLA Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu
2019	J	`jnl`	Leveraging Semi-Supervised Learning for Fairness using Neural Networks. CoRR Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu
2019	B	`conf`	MARS: Memory Attention-Aware Recommender System. DSAA Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu
2019	—	`conf`	Virtual Adversarial Training for Semi-supervised Verification Tasks. EUSIPCO Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Philip S. Yu
2018	J	`jnl`	DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data. CoRR Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Aggelos K. Katsaggelos
2018	A	`conf`	DeepAuth: A Framework for Continuous User Re-authentication in Mobile Apps. CIKM Sara Amini, Vahid Noroozi, Amit Pande, Satyajit Gupte, Philip S. Yu, Chris Kanich
2018	—	`conf`	DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors. IEEE BigData Sara Amini, Vahid Noroozi, Sara Bahaadini, Philip S. Yu, Chris Kanich
2018	B	`conf`	Direct: Deep Discriminative Embedding for Clustering of Ligo Data. ICIP Sara Bahaadini, Neda Rohani, Aggelos K. Katsaggelos, Vahid Noroozi, Scott Coughlin, Michael Zevin
2018	J	`jnl`	MARS: Memory Attention-Aware Recommender System. CoRR Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu
2018	J	`jnl`	Machine learning for Gravity Spy: Glitch classification and dataset. Inf. Sci. Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Joshua R. Smith, Vicky Kalogera, Aggelos K. Katsaggelos
2018	—	`conf`	Semi-supervised Deep Representation Learning for Multi-View Problems. IEEE BigData Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu
2018	J	`jnl`	Semi-supervised Deep Representation Learning for Multi-View Problems. CoRR Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu
2017	—	`conf`	Hierarchical collaborative embedding for context-aware recommendations. IEEE BigData Lei Zheng, Bokai Cao, Vahid Noroozi, Philip S. Yu, Nianzu Ma
2017	A	`conf`	Joint Deep Modeling of Users and Items Using Reviews for Recommendation. WSDM Lei Zheng, Vahid Noroozi, Philip S. Yu
2017	J	`jnl`	Joint Deep Modeling of Users and Items Using Reviews for Recommendation. CoRR Lei Zheng, Vahid Noroozi, Philip S. Yu
2017	A*	`conf`	SEVEN: Deep Semi-supervised Verification Networks. IJCAI Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu
2017	J	`jnl`	SEVEN: Deep Semi-supervised Verification Networks. CoRR Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu
2013	—	`conf`	Adaptive load balancing in LTE-Advanced networks with base station coordination. WPMC Vahid Noroozi, Aliazam Abbasfar
2012	—	`conf`	Alpinist CellularDE: a cellular based optimization algorithm for dynamic environments. GECCO (Companion) Vahid Noroozi, Ali B. Hashemi, Mohammad Reza Meybodi
2012	B	`conf`	Two phased cellular PSO: A new collaborative cellular algorithm for optimization in dynamic environments. IEEE Congress on Evolutionary Computation Ali Sharifi, Vahid Noroozi, Masoud Bashiri, Ali B. Hashemi, Mohammad Reza Meybodi
2011	—	`conf`	CellularDE: A Cellular Based Differential Evolution for Dynamic Optimization Problems. ICANNGA (1) Vahid Noroozi, Ali B. Hashemi, Mohammad Reza Meybodi