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Junfeng Hou
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2020 – today
- 2024
- [j3]Zhenbing Liu, Junfeng Hou, Xipeng Pan
, Ruojie Zhang, Zhenwei Shi
PA-Net: A phase attention network fusing venous and arterial phase features of CT images for liver tumor segmentation. Comput. Methods Programs Biomed. 244: 107997 (2024) - [i4]Junfeng Hou, Peiyao Wang, Jincheng Zhang, Meng Yang, Minwei Feng, Jingcheng Yin:
CTC Blank Triggered Dynamic Layer-Skipping for Efficient CTC-based Speech Recognition. CoRR abs/2401.02046 (2024) - 2023
- [c13]Junfeng Hou, Peiyao Wang, Jincheng Zhang, Meng Yang, Minwei Feng, Jingcheng Yin:
CTC Blank Triggered Dynamic Layer-Skipping for Efficient Ctc-Based Speech Recognition. ASRU 2023: 1-5 - 2022
- [c12]Junfeng Hou, Jinkun Chen, Wanyu Li, Yufeng Tang, Jun Zhang, Zejun Ma:
Bring dialogue-context into RNN-T for streaming ASR. INTERSPEECH 2022: 2048-2052 - 2021
- [c11]Lu Huang, Jingyu Sun, Yufeng Tang, Junfeng Hou, Jinkun Chen, Jun Zhang, Zejun Ma:
HMM-Free Encoder Pre-Training for Streaming RNN Transducer. Interspeech 2021: 1797-1801 - [i3]Lu Huang, Jingyu Sun, Yufeng Tang, Junfeng Hou, Jinkun Chen, Jun Zhang, Zejun Ma:
HMM-Free Encoder Pre-Training for Streaming RNN Transducer. CoRR abs/2104.10764 (2021) - 2020
- [j2]Jian Tang
Effective Exploitation of Posterior Information for Attention-Based Speech Recognition. IEEE Access 8: 108988-108999 (2020) - [j1]Junfeng Hou
Segment boundary detection directed attention for online end-to-end speech recognition. EURASIP J. Audio Speech Music. Process. 2020(1): 3 (2020) - [c10]Liangfa Wei, Jie Zhang, Junfeng Hou, Lirong Dai:
Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition. APSIPA 2020: 638-643 - [i2]Liangfa Wei, Jie Zhang, Junfeng Hou, Lirong Dai:
Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition. CoRR abs/2008.02686 (2020)
2010 – 2019
- 2019
- [c9]Jingyi Xu, Junfeng Hou, Yan Song, Wu Guo, Lirong Dai:
Knowledge Distillation from Multilingual and Monolingual Teachers for End-to-End Multilingual Speech Recognition. APSIPA 2019: 844-849 - [c8]Rui Na, Junfeng Hou, Wu Guo, Yan Song, Lirong Dai:
Learning Adaptive Downsampling Encoding for Online End-to-End Speech Recognition. APSIPA 2019: 850-854 - [c7]Qinhui Lei, Hang Chen, Junfeng Hou, Liang Chen, Lirong Dai:
Deep Neural Network Based Regression Approach for Acoustic Echo Cancellation. ICMSSP 2019: 94-98 - 2017
- [c6]Junfeng Hou, Shiliang Zhang, Li-Rong Dai, Hui Jiang:
Feedforward sequential memory networks based encoder-decoder model for machine translation. APSIPA 2017: 622-625 - [c5]Huang Chen, Shiliang Zhang, Junfeng Hou, Lirong Dai:
Learning the number of nodes in DNNs with activation mask. APSIPA 2017: 1218-1221 - [c4]Junfeng Hou, Shiliang Zhang, Li-Rong Dai:
Gaussian Prediction Based Attention for Online End-to-End Speech Recognition. INTERSPEECH 2017: 3692-3696 - 2016
- [c3]Junfeng Hou, Shiliang Zhang, Li-Rong Dai:
Learning FOFE based FNN-LMs with noise contrastive estimation and part-of-speech features. ISCSLP 2016: 1-5 - [c2]Junbei Zhang, Junfeng Hou, Shiliang Zhang, Li-Rong Dai:
USTC at NTCIR-12 STC Task. NTCIR 2016 - 2015
- [c1]Shiliang Zhang, Hui Jiang, Mingbin Xu, Junfeng Hou, Li-Rong Dai:
The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models. ACL (2) 2015: 495-500 - [i1]Shiliang Zhang, Hui Jiang, Mingbin Xu, Junfeng Hou, Li-Rong Dai:
A Fixed-Size Encoding Method for Variable-Length Sequences with its Application to Neural Network Language Models. CoRR abs/1505.01504 (2015)
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