Junteng Jia

According to our database, Junteng Jia authored at least 18 papers between 2018 and 2023.

Collaborative distances:

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

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

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

CoRR, 2023

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

CoRR, 2023

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

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

CoRR, 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 Interspeech 2022, 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