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ORCIDJunteng Jia
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2020 – today
- 2024
[c13]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- [c12]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 - [c11]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 - [c10]Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Ke Li, Junteng Jia, Yuan Shangguan, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer:
AudioChatLlama: Towards General-Purpose Speech Abilities for LLMs. NAACL-HLT 2024: 5522-5532 - [i19]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) - [i18]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.:
The Llama 3 Herd of Models. CoRR abs/2407.21783 (2024) - [i17]Desh Raj, Gil Keren, Junteng Jia, Jay Mahadeokar, Ozlem Kalinli:
Faster Speech-LLaMA Inference with Multi-token Prediction. CoRR abs/2409.08148 (2024) - [i16]Yufeng Yang, Desh Raj, Ju Lin, Niko Moritz, Junteng Jia, Gil Keren, Egor Lakomkin, Yiteng Huang, Jacob Donley, Jay Mahadeokar, Ozlem Kalinli:
M-BEST-RQ: A Multi-Channel Speech Foundation Model for Smart Glasses. CoRR abs/2409.11494 (2024) - [i15]Junteng Jia, Gil Keren, Wei Zhou, Egor Lakomkin, Xiaohui Zhang, Chunyang Wu, Frank Seide, Jay Mahadeokar, Ozlem Kalinli:
Efficient Streaming LLM for Speech Recognition. CoRR abs/2410.03752 (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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