Junteng Jia

According to our database, Junteng Jia authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Streaming LLM for Speech Recognition.

Junteng Jia, Gil Keren, Wei Zhou, Egor Lakomkin, Xiaohui Zhang, Chunyang Wu, Frank Seide, Jay Mahadeokar, Ozlem Kalinli

CoRR, 2024

Frozen Large Language Models Can Perceive Paralinguistic Aspects of Speech.

Wonjune Kang, Junteng Jia, Chunyang Wu, Wei Zhou, Egor Lakomkin, Yashesh Gaur, Leda Sari, Suyoun Kim, Ke Li, Jay Mahadeokar, Ozlem Kalinli

CoRR, 2024

M-BEST-RQ: A Multi-Channel Speech Foundation Model for Smart Glasses.

Yufeng Yang, Desh Raj, Ju Lin, Niko Moritz, Junteng Jia, Gil Keren, Egor Lakomkin, Yiteng Huang, Jacob Donley, Jay Mahadeokar, Ozlem Kalinli

CoRR, 2024

Faster Speech-LLaMA Inference with Multi-token Prediction.

Desh Raj, Gil Keren, Junteng Jia, Jay Mahadeokar, Ozlem Kalinli

CoRR, 2024

The Llama 3 Herd of Models.

Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.

CoRR, 2024

Speech ReaLLM - Real-time Streaming Speech Recognition with Multimodal LLMs by Teaching the Flow of Time.

Frank Seide, Morrie Doulaty, Yangyang Shi, Yashesh Gaur, Junteng Jia, Chunyang Wu

CoRR, 2024

AudioChatLlama: Towards General-Purpose Speech Abilities for LLMs.

Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Ke Li, Junteng Jia, Yuan Shangguan, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of a Multilingual ASR Model.

Jiamin Xie, Ke Li, Jinxi Guo, Andros Tjandra, Yuan Shangguan, Leda Sari, Chunyang Wu, Junteng Jia, Jay Mahadeokar, Ozlem Kalinli

Proceedings of the IEEE International Conference on Acoustics, 2024

TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models.

Yuan Shangguan, Haichuan Yang, Danni Li, Chunyang Wu, Yassir Fathullah, Dilin Wang, Ayushi Dalmia, Raghuraman Krishnamoorthi, Ozlem Kalinli, Junteng Jia, Jay Mahadeokar, Xin Lei, Mike Seltzer, Vikas Chandra

Proceedings of the IEEE International Conference on Acoustics, 2024

Prompting Large Language Models with Speech Recognition Abilities.

Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Ke Li, Jinxi Guo, Wenhan Xiong, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Towards General-Purpose Speech Abilities for Large Language Models Using Unpaired Data.

Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer

CoRR, 2023

Multi-Head State Space Model for Speech Recognition.

Yassir Fathullah, Chunyang Wu, Yuan Shangguan, Junteng Jia, Wenhan Xiong, Jay Mahadeokar, Chunxi Liu, Yangyang Shi, Ozlem Kalinli, Mike Seltzer, Mark J. F. Gales

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Anchored Speech Recognition with Neural Transducers.

Desh Raj, Junteng Jia, Jay Mahadeokar, Chunyang Wu, Niko Moritz, Xiaohui Zhang, Ozlem Kalinli

Proceedings of the IEEE International Conference on Acoustics, 2023

Joint Federated Learning and Personalization for on-Device ASR.

Junteng Jia, Ke Li, Mani Malek, Kshitiz Malik, Jay Mahadeokar, Ozlem Kalinli, Frank Seide

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations.

Junteng Jia, Austin R. Benson

SIAM J. Math. Data Sci., 2022

Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.

Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Federated Domain Adaptation for ASR with Full Self-Supervision.

Junteng Jia, Jay Mahadeokar, Weiyi Zheng, Yuan Shangguan, Ozlem Kalinli, Frank Seide

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Modeling and Inferring Attributed Graphs.

Junteng Jia

PhD thesis, 2021

Graph Belief Propagation Networks.

Junteng Jia, Cenk Baykal, Vamsi K. Potluru, Austin R. Benson

CoRR, 2021

2020

Outcome Correlation in Graph Neural Network Regression.

Junteng Jia, Austin R. Benson

CoRR, 2020

Residual Correlation in Graph Neural Network Regression.

Junteng Jia, Austin R. Benson

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Random Spatial Network Models for Core-Periphery Structure.

Junteng Jia, Austin R. Benson

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Neural Jump Stochastic Differential Equations.

Junteng Jia, Austin R. Benson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Graph-based Semi-Supervised & Active Learning for Edge Flows.

Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Detecting Core-Periphery Structure in Spatial Networks.

Junteng Jia, Austin R. Benson

CoRR, 2018