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Junteng Jia
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2020 – today
- 2024
- [c12]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:
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models. ICASSP 2024: 10216-10220 - [c11]Jiamin Xie, Ke Li, Jinxi Guo, Andros Tjandra, Yuan Shangguan, Leda Sari, Chunyang Wu, Junteng Jia, Jay Mahadeokar, Ozlem Kalinli:
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of a Multilingual ASR Model. ICASSP 2024: 12201-12205 - [c10]Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Ke Li, Jinxi Guo, Wenhan Xiong, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
Prompting Large Language Models with Speech Recognition Abilities. ICASSP 2024: 13351-13355 - [i15]Frank Seide, Morrie Doulaty, Yangyang Shi, Yashesh Gaur, Junteng Jia, Chunyang Wu:
Speech ReaLLM - Real-time Streaming Speech Recognition with Multimodal LLMs by Teaching the Flow of Time. CoRR abs/2406.09569 (2024) - 2023
- [c9]Junteng Jia, Ke Li, Mani Malek, Kshitiz Malik, Jay Mahadeokar, Ozlem Kalinli, Frank Seide:
Joint Federated Learning and Personalization for on-Device ASR. ASRU 2023: 1-8 - [c8]Desh Raj, Junteng Jia, Jay Mahadeokar, Chunyang Wu, Niko Moritz, Xiaohui Zhang, Ozlem Kalinli:
Anchored Speech Recognition with Neural Transducers. ICASSP 2023: 1-5 - [c7]Yassir Fathullah, Chunyang Wu, Yuan Shangguan, Junteng Jia, Wenhan Xiong, Jay Mahadeokar, Chunxi Liu, Yangyang Shi, Ozlem Kalinli, Mike Seltzer, Mark J. F. Gales:
Multi-Head State Space Model for Speech Recognition. INTERSPEECH 2023: 241-245 - [i14]Yassir Fathullah, Chunyang Wu, Yuan Shangguan, Junteng Jia, Wenhan Xiong, Jay Mahadeokar, Chunxi Liu, Yangyang Shi, Ozlem Kalinli, Mike Seltzer, Mark J. F. Gales:
Multi-Head State Space Model for Speech Recognition. CoRR abs/2305.12498 (2023) - [i13]Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Ke Li, Jinxi Guo, Wenhan Xiong, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
Prompting Large Language Models with Speech Recognition Abilities. CoRR abs/2307.11795 (2023) - [i12]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:
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models. CoRR abs/2309.01947 (2023) - [i11]Jiamin Xie, Ke Li, Jinxi Guo, Andros Tjandra, Yuan Shangguan, Leda Sari, Chunyang Wu, Junteng Jia, Jay Mahadeokar, Ozlem Kalinli:
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model. CoRR abs/2309.13018 (2023) - [i10]Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
Towards General-Purpose Speech Abilities for Large Language Models Using Unpaired Data. CoRR abs/2311.06753 (2023) - 2022
- [j1]Junteng Jia, Austin R. Benson:
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations. SIAM J. Math. Data Sci. 4(1): 100-125 (2022) - [c6]Junteng Jia, Jay Mahadeokar, Weiyi Zheng, Yuan Shangguan, Ozlem Kalinli, Frank Seide:
Federated Domain Adaptation for ASR with Full Self-Supervision. INTERSPEECH 2022: 536-540 - [c5]Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li:
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. NeurIPS 2022 - [i9]Junteng Jia, Jay Mahadeokar, Weiyi Zheng, Yuan Shangguan, Ozlem Kalinli, Frank Seide:
Federated Domain Adaptation for ASR with Full Self-Supervision. CoRR abs/2203.15966 (2022) - [i8]Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li:
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. CoRR abs/2207.11311 (2022) - [i7]Desh Raj
, Junteng Jia, Jay Mahadeokar, Chunyang Wu, Niko Moritz, Xiaohui Zhang, Ozlem Kalinli:
Anchored Speech Recognition with Neural Transducers. CoRR abs/2210.11588 (2022) - 2021
- [b1]Junteng Jia:
Modeling and Inferring Attributed Graphs. Cornell University, USA, 2021 - [i6]Junteng Jia, Austin R. Benson:
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations. CoRR abs/2101.07730 (2021) - [i5]Junteng Jia, Cenk Baykal, Vamsi K. Potluru, Austin R. Benson:
Graph Belief Propagation Networks. CoRR abs/2106.03033 (2021) - 2020
- [c4]Junteng Jia, Austin R. Benson:
Residual Correlation in Graph Neural Network Regression. KDD 2020: 588-598 - [i4]Junteng Jia, Austin R. Benson:
Outcome Correlation in Graph Neural Network Regression. CoRR abs/2002.08274 (2020)
2010 – 2019
- 2019
- [c3]Junteng Jia, Michael T. Schaub
, Santiago Segarra
, Austin R. Benson:
Graph-based Semi-Supervised & Active Learning for Edge Flows. KDD 2019: 761-771 - [c2]Junteng Jia, Austin R. Benson:
Neural Jump Stochastic Differential Equations. NeurIPS 2019: 9843-9854 - [c1]Junteng Jia, Austin R. Benson:
Random Spatial Network Models for Core-Periphery Structure. WSDM 2019: 366-374 - [i3]Junteng Jia, Michael T. Schaub, Santiago Segarra, Austin R. Benson:
Graph-based Semi-Supervised & Active Learning for Edge Flows. CoRR abs/1905.07451 (2019) - [i2]Junteng Jia, Austin R. Benson:
Neural Jump Stochastic Differential Equations. CoRR abs/1905.10403 (2019) - 2018
- [i1]Junteng Jia, Austin R. Benson:
Detecting Core-Periphery Structure in Spatial Networks. CoRR abs/1808.06544 (2018)
Coauthor Index
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last updated on 2024-08-08 19:18 CEST by the dblp team
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