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2020 – today
- 2024
[c13]Baoping Deng, Jinggang Chen, Zhenhou Hong, Xiaoyang Qu, Guokuan Li, Jiguang Wan, Changsheng Xie, Jianzong Wang:
Enhancing Anomalous Sound Detection with Multi-Level Memory Bank. IJCNN 2024: 1-6- [c12]Zhiyuan Wang, Bokui Chen, Xiaoyang Qu, Zhenhou Hong, Jing Xiao, Jianzong Wang:
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training. IJCNN 2024: 1-7 - [i5]Zhiyuan Wang, Bokui Chen, Xiaoyang Qu, Zhenhou Hong, Jing Xiao, Jianzong Wang:
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training. CoRR abs/2405.13445 (2024) - 2022
- [c11]Zhenhou Hong, Jianzong Wang
, Xiaoyang Qu, Chendong Zhao, Wei Tao, Jing Xiao:
QSpeech: Low-Qubit Quantum Speech Application Toolkit. IJCNN 2022: 1-8 - [c10]Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao:
Leveraging Causal Inference for Explainable Automatic Program Repair. IJCNN 2022: 1-6 - [c9]Nan Zhang, Jianzong Wang, Zhenhou Hong, Chendong Zhao, Xiaoyang Qu, Jing Xiao:
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification. IJCNN 2022: 1-7 - [i4]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Chendong Zhao, Wei Tao, Jing Xiao:
QSpeech: Low-Qubit Quantum Speech Application Toolkit. CoRR abs/2205.13221 (2022) - [i3]Nan Zhang, Jianzong Wang, Zhenhou Hong, Chendong Zhao, Xiaoyang Qu, Jing Xiao:
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification. CoRR abs/2205.13249 (2022) - [i2]Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao:
Leveraging Causal Inference for Explainable Automatic Program Repair. CoRR abs/2205.13342 (2022) - 2021
- [c8]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Chendong Zhao, Jie Liu, Jing Xiao:
Neural Architecture Search as Self-assessor in Semi-supervised Learning. Big Data (CCF) 2021: 95-107 - [c7]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Xinghua Zhu, Jie Liu, Jing Xiao:
Quantum Convolutional Neural Network on Protein Distance Prediction. IJCNN 2021: 1-8 - [c6]Zhenhou Hong, Jianzong Wang, Wenqi Wei, Jie Liu, Xiaoyang Qu, Bo Chen, Zihang Wei, Jing Xiao:
When Hearing the Voice, Who Will Come to Your Mind. IJCNN 2021: 1-6 - [c5]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Jie Liu, Chendong Zhao, Jing Xiao:
Federated Learning with Dynamic Transformer for Text to Speech. Interspeech 2021: 3590-3594 - [c4]Jianzong Wang, Shijing Si, Zhenhou Hong, Xiaoyang Qu, Xinghua Zhu, Jing Xiao:
Case Study of Few-Shot Learning in Text Recognition Models. WISE (2) 2021: 394-401 - [i1]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Jie Liu, Chendong Zhao, Jing Xiao:
Federated Learning with Dynamic Transformer for Text to Speech. CoRR abs/2107.08795 (2021) - 2020
- [c3]Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Jing Xiao:
Empirical Studies of Institutional Federated Learning For Natural Language Processing. EMNLP (Findings) 2020: 625-634
2010 – 2019
- 2019
- [c2]Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Junxiong Guo, Jing Xiao:
On Probability Calibration of Recurrent Text Recognition Network. ICONIP (3) 2019: 425-436 - [c1]Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Tian Xia, Jing Xiao:
Federated Learning of Unsegmented Chinese Text Recognition Model. ICTAI 2019: 1341-1345
Coauthor Index
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