CellularDE: A Cellular Based Differential Evolution for Dynamic Optimization Problems. - Vahid Noroozi; Ali B. Hashemi; Mohammad Reza Meybodi (ICANNGA (1), 2011)

Two phased cellular PSO: A new collaborative cellular algorithm for optimization in dynamic environments. - Ali Sharifi; Vahid Noroozi; Masoud Bashiri; Ali B. Hashemi; Mohammad Reza Meybodi (IEEE Congress on Evolutionary Computation, 2012)

Alpinist CellularDE: a cellular based optimization algorithm for dynamic environments. - Vahid Noroozi; Ali B. Hashemi; Mohammad Reza Meybodi (GECCO (Companion), 2012)

Adaptive load balancing in LTE-Advanced networks with base station coordination. - Vahid Noroozi; Aliazam Abbasfar (WPMC, 2013)

Hierarchical collaborative embedding for context-aware recommendations. - Lei Zheng 001; Bokai Cao; Vahid Noroozi; Philip S. Yu; Nianzu Ma (IEEE BigData, 2017)

SEVEN: Deep Semi-supervised Verification Networks. - Vahid Noroozi; Lei Zheng 001; Sara Bahaadini; Sihong Xie; Philip S. Yu (IJCAI, 2017)

Joint Deep Modeling of Users and Items Using Reviews for Recommendation. - Lei Zheng 001; Vahid Noroozi; Philip S. Yu (WSDM, 2017)

DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors. - Sara Amini; Vahid Noroozi; Sara Bahaadini; Philip S. Yu; Chris Kanich (IEEE BigData, 2018)

Semi-supervised Deep Representation Learning for Multi-View Problems. - Vahid Noroozi; Sara Bahaadini; Lei Zheng 001; Sihong Xie; Weixiang Shao; Philip S. Yu (IEEE BigData, 2018)

DeepAuth: A Framework for Continuous User Re-authentication in Mobile Apps. - Sara Amini; Vahid Noroozi; Amit Pande; Satyajit Gupte; Philip S. Yu; Chris Kanich (CIKM, 2018)

Direct: Deep Discriminative Embedding for Clustering of Ligo Data. - Sara Bahaadini; Neda Rohani; Aggelos K. Katsaggelos; Vahid Noroozi; Scott Coughlin; Michael Zevin (ICIP, 2018)

MARS: Memory Attention-Aware Recommender System. - Lei Zheng 001; Chun-Ta Lu; Lifang He 001; Sihong Xie; Vahid Noroozi; He Huang 008; Philip S. Yu (CoRR, 2018)

Machine learning for Gravity Spy: Glitch classification and dataset. - Sara Bahaadini; Vahid Noroozi; Neda Rohani; Scott Coughlin; Michael Zevin; Joshua R. Smith 003; Vicky Kalogera; Aggelos K. Katsaggelos (Inf. Sci., 2018)

MARS: Memory Attention-Aware Recommender System. - Lei Zheng 001; Chun-Ta Lu; Lifang He 001; Sihong Xie; He Huang 008; Chaozhuo Li; Vahid Noroozi; Bowen Dong; Philip S. Yu (DSAA, 2019)

Virtual Adversarial Training for Semi-supervised Verification Tasks. - Vahid Noroozi; Sara Bahaadini; Lei Zheng 001; Sihong Xie; Philip S. Yu (EUSIPCO, 2019)

Leveraging Semi-Supervised Learning for Fairness using Neural Networks. - Vahid Noroozi; Sara Bahaadini; Samira Sheikhi; Nooshin Mojab; Philip S. Yu (ICMLA, 2019)

Deep Multi-Task Learning for Interpretable Glaucoma Detection. - Nooshin Mojab; Vahid Noroozi; Philip S. Yu; Joelle A. Hallak (IRI, 2019)

Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings. - Nooshin Mojab; Vahid Noroozi; Darvin Yi; Manoj Prabhakar Nallabothula; Abdullah Aleem; Philip S. Yu; Joelle A. Hallak (ICMLA, 2020)

A Fast and Robust BERT-based Dialogue State Tracker for Schema Guided Dialogue Dataset. - Vahid Noroozi; Yang Zhang 089; Evelina Bakhturina; Tomasz Kornuta (Converse@KDD, 2020)

I-ODA, Real-world Multi-modal Longitudinal Data for Ophthalmic Applications. - 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 (HEALTHINF, 2021)

SPGISpeech: 5, 000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition. - 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 001; et al. (Interspeech, 2021)

I-ODA, Real-World Multi-modal Longitudinal Data for OphthalmicApplications. - 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 (CoRR, 2021)

SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services. - Yang Zhang 089; Vahid Noroozi; Evelina Bakhturina; Boris Ginsburg (CoRR, 2021)

NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022. - Oleksii Hrinchuk; Vahid Noroozi; Ashwinkumar Ganesan; Sarah Campbell; Sandeep Subramanian; Somshubra Majumdar; Oleksii Kuchaiev (IWSLT@ACL, 2022)

Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition. - Dima Rekesh; Nithin Rao Koluguri; Samuel Kriman; Somshubra Majumdar; Vahid Noroozi; He Huang 012; Oleksii Hrinchuk; Krishna C. Puvvada; Ankur Kumar; Jagadeesh Balam; Boris Ginsburg (ASRU, 2023)

Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition. - Dima Rekesh; Samuel Kriman; Somshubra Majumdar; Vahid Noroozi; He Huang 012; Oleksii Hrinchuk; Ankur Kumar; Boris Ginsburg (CoRR, 2023)

Investigating End-to-End ASR Architectures for Long Form Audio Transcription. - Nithin Rao Koluguri; Samuel Kriman; Georgy Zelenfroind; Somshubra Majumdar; Dima Rekesh; Vahid Noroozi; Jagadeesh Balam; Boris Ginsburg (ICASSP, 2024)

Stateful Conformer with Cache-Based Inference for Streaming Automatic Speech Recognition. - Vahid Noroozi; Somshubra Majumdar; Ankur Kumar; Jagadeesh Balam; Boris Ginsburg (ICASSP, 2024)

Instruction Data Generation and Unsupervised Adaptation for Speech Language Models. - Vahid Noroozi; Zhehuai Chen; Somshubra Majumdar; Steve Huang; Jagadeesh Balam; Boris Ginsburg (INTERSPEECH, 2024)

Nemotron-4 340B Technical Report. - Bo Adler; Niket Agarwal; Ashwath Aithal; Dong H. Anh; Pallab Bhattacharya; Annika Brundyn; Jared Casper; Bryan Catanzaro; Sharon Clay; Jonathan M. Cohen; Sirshak Das; Ayush Dattagupta; et al. (CoRR, 2024)

Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models. - Somshubra Majumdar; Vahid Noroozi; Sean Narenthiran; Aleksander Ficek; Jagadeesh Balam; Boris Ginsburg (CoRR, 2024)

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks. - 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; et al. (CoRR, 2024)

Scoring Verifiers: Evaluating Synthetic Verification in Code and Reasoning. - Aleksander Ficek; Somshubra Majumdar; Vahid Noroozi; Boris Ginsburg (CoRR, 2025)

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding. - Wasi Uddin Ahmad; Sean Narenthiran; Somshubra Majumdar; Aleksander Ficek; Siddhartha Jain 001; Jocelyn Huang; Vahid Noroozi; Boris Ginsburg (CoRR, 2025)

OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs. - Wasi Uddin Ahmad; Aleksander Ficek; Mehrzad Samadi; Jocelyn Huang; Vahid Noroozi; Somshubra Majumdar; Boris Ginsburg (CoRR, 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)

OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique. - Wasi Uddin Ahmad; Somshubra Majumdar; Aleksander Ficek; Sean Narenthiran; Mehrzad Samadi; Jocelyn Huang; Siddhartha Jain 001; Vahid Noroozi; Boris Ginsburg (CoRR, 2025)