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ORCIDJing Shi 0003
Person information
- unicode name: 石晶
- affiliation: Chinese Academy of Sciences, Institute of Automation, Research Center for Brain-inspired Intelligence, Beijing, China
Other persons with the same name
- Jing Shi — disambiguation page
- Jing Shi 0001 — Spreadtrum Communications, Inc., Shanghai, China (and 1 more)
- Jing Shi 0002 — Huazhong University of Science and Technology, School of Public Administration, China (and 1 more)
- Jing Shi 0004
![[0000-0002-0809-1010]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0809-1010")
— Macquarie University, Department of Finance, Sydney, NSW, Australia (and 2 more) - Jing Shi 0005 — Adobe Research (and 1 more)
- Jing Shi 0006 — University of Cincinnati, Department of Mechanical and Materials Engineering, College of Engineering and Applied Science, OH, USA
- Jing Shi 0007 — Xi'an University of Technology, Institute of Automation and Information Engineering, China
- Jing Shi 0008 — Nanjing University of Posts and Telecommunications, Institute of Advanced Technology, China
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Journal Articles
- 2024
[j7]Zefa Hu, Ziyi Ni, Jing Shi, Shuang Xu, Bo Xu:
A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction. Mach. Intell. Res. 21(1): 153-168 (2024)- 2023
- [j6]Matthew Maciejewski, Jing Shi, Shinji Watanabe, Sanjeev Khudanpur:
A dilemma of ground truth in noisy speech separation and an approach to lessen the impact of imperfect training data. Comput. Speech Lang. 77: 101410 (2023) - [j5]Haoran Wu, Xiuyi Chen, Zefa Hu, Jing Shi, Shuang Xu, Bo Xu:
Local-to-Global Causal Reasoning for Cross-Document Relation Extraction. IEEE CAA J. Autom. Sinica 10(7): 1608-1621 (2023) - [j4]Feilong Chen, Duzhen Zhang, Minglun Han, Xiuyi Chen, Jing Shi, Shuang Xu, Bo Xu:
VLP: A Survey on Vision-language Pre-training. Int. J. Autom. Comput. 20(1): 38-56 (2023) - 2022
- [j3]Jing Shi, Xuankai Chang, Shinji Watanabe, Bo Xu:
Train from scratch: Single-stage joint training of speech separation and recognition. Comput. Speech Lang. 76: 101387 (2022) - 2019
- [j2]Jing Shi, Jiaming Xu, Yiqun Yao, Bo Xu:
Concept learning through deep reinforcement learning with memory-augmented neural networks. Neural Networks 110: 47-54 (2019) - 2018
- [j1]Yiqun Yao, Jiaming Xu, Jing Shi, Bo Xu:
Learning to activate logic rules for textual reasoning. Neural Networks 106: 42-49 (2018)
Conference and Workshop Papers
- 2024
- [c21]Ziyi Ni, Minglun Han, Feilong Chen, Linghui Meng, Jing Shi, Pin Lv, Bo Xu:
ViLaS: Exploring the Effects of Vision and Language Context in Automatic Speech Recognition. ICASSP 2024: 11366-11370 - 2023
- [c20]Zefa Hu, Xiuyi Chen, Haoran Wu, Minglun Han, Ziyi Ni, Jing Shi, Shuang Xu, Bo Xu:
Matching-Based Term Semantics Pre-Training for Spoken Patient Query Understanding. ICASSP 2023: 1-5 - [c19]Minglun Han, Feilong Chen, Jing Shi, Shuang Xu, Bo Xu:
Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation. INTERSPEECH 2023: 1364-1368 - [c18]Feilong Chen, Minglun Han, Jing Shi, Shuang Xu, Bo Xu:
Enhancing Visual Question Answering via Deconstructing Questions and Explicating Answers. INTERSPEECH 2023: 3447-3451 - 2022
- [c17]Feilong Chen, Duzhen Zhang, Xiuyi Chen, Jing Shi, Shuang Xu, Bo Xu:
Unsupervised and Pseudo-Supervised Vision-Language Alignment in Visual Dialog. ACM Multimedia 2022: 4142-4153 - 2021
- [c16]Xuankai Chang, Takashi Maekaku, Pengcheng Guo, Jing Shi, Yen-Ju Lu, Aswin Shanmugam Subramanian, Tianzi Wang, Shu-Wen Yang, Yu Tsao, Hung-yi Lee, Shinji Watanabe:
An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition. ASRU 2021: 228-235 - [c15]Matthew Maciejewski, Jing Shi, Shinji Watanabe, Sanjeev Khudanpur:
Training Noisy Single-Channel Speech Separation with Noisy Oracle Sources: A Large Gap and a Small Step. ICASSP 2021: 5774-5778 - [c14]Pengcheng Guo, Florian Boyer, Xuankai Chang, Tomoki Hayashi, Yosuke Higuchi, Hirofumi Inaguma, Naoyuki Kamo, Chenda Li, Daniel Garcia-Romero, Jiatong Shi, Jing Shi, Shinji Watanabe, Kun Wei, Wangyou Zhang, Yuekai Zhang:
Recent Developments on Espnet Toolkit Boosted By Conformer. ICASSP 2021: 5874-5878 - [c13]Peng Zhang, Jiaming Xu, Jing Shi, Yunzhe Hao, Lei Qin, Bo Xu:
Audio-Visual Speech Separation with Visual Features Enhanced by Adversarial Training. IJCNN 2021: 1-8 - [c12]Chenda Li, Jing Shi, Wangyou Zhang, Aswin Shanmugam Subramanian, Xuankai Chang, Naoyuki Kamo, Moto Hira, Tomoki Hayashi, Christoph Böddeker, Zhuo Chen, Shinji Watanabe:
ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for ASR Integration. SLT 2021: 785-792 - [c11]Wangyou Zhang, Jing Shi, Chenda Li, Shinji Watanabe, Yanmin Qian:
Closing the Gap Between Time-Domain Multi-Channel Speech Enhancement on Real and Simulation Conditions. WASPAA 2021: 146-150 - 2020
- [c10]Yunzhe Hao, Jiaming Xu, Jing Shi, Peng Zhang, Lei Qin, Bo Xu:
A Unified Framework for Low-Latency Speaker Extraction in Cocktail Party Environments. INTERSPEECH 2020: 1431-1435 - [c9]Jing Shi, Jiaming Xu, Yusuke Fujita, Shinji Watanabe, Bo Xu:
Speaker-Conditional Chain Model for Speech Separation and Extraction. INTERSPEECH 2020: 2707-2711 - [c8]Jing Shi, Xuankai Chang, Pengcheng Guo, Shinji Watanabe, Yusuke Fujita, Jiaming Xu, Bo Xu, Lei Xie:
Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals. NeurIPS 2020 - 2019
- [c7]Jing Shi, Jiaming Xu, Bo Xu:
Which Ones Are Speaking? Speaker-Inferred Model for Multi-Talker Speech Separation. INTERSPEECH 2019: 4609-4613 - 2018
- [c6]Jiaming Xu, Jing Shi, Guangcan Liu, Xiuyi Chen, Bo Xu:
Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. AAAI 2018: 2564-2571 - [c5]Jing Shi, Jiaming Xu, Guangcan Liu, Bo Xu:
Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation. IJCAI 2018: 4353-4360 - [c4]Xiuyi Chen, Guangcan Liu, Jing Shi, Jiaming Xu, Bo Xu:
Distilled Binary Neural Network for Monaural Speech Separation. IJCNN 2018: 1-8 - [c3]Guangcan Liu, Jing Shi, Xiuyi Chen, Jiaming Xu, Bo Xu:
Improving Speech Separation with Adversarial Network and Reinforcement Learning. IJCNN 2018: 1-7 - 2016
- [c2]Jiaming Xu, Jing Shi, Yiqun Yao, Suncong Zheng, Bo Xu, Bo Xu:
Hierarchical Memory Networks for Answer Selection on Unknown Words. COLING 2016: 2290-2299 - [c1]Jiaming Xu, Suncong Zheng, Jing Shi, Yiqun Yao, Bo Xu:
Ensemble of Feature Sets and Classification Methods for Stance Detection. NLPCC/ICCPOL 2016: 679-688
Informal and Other Publications
- 2023
- [i20]Minglun Han, Feilong Chen, Jing Shi, Shuang Xu, Bo Xu:
Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation. CoRR abs/2301.13003 (2023) - [i19]Zefa Hu, Xiuyi Chen, Haoran Wu, Minglun Han, Ziyi Ni, Jing Shi, Shuang Xu, Bo Xu:
Matching-based Term Semantics Pre-training for Spoken Patient Query Understanding. CoRR abs/2303.01341 (2023) - [i18]Feilong Chen, Minglun Han, Haozhi Zhao, Qingyang Zhang, Jing Shi, Shuang Xu, Bo Xu:
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages. CoRR abs/2305.04160 (2023) - [i17]Xiyun Li, Ziyi Ni, Jingqing Ruan, Linghui Meng, Jing Shi, Tielin Zhang, Bo Xu:
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation. CoRR abs/2305.05898 (2023) - [i16]Minglun Han, Feilong Chen, Ziyi Ni, Linghui Meng, Jing Shi, Shuang Xu, Bo Xu:
ViLaS: Integrating Vision and Language into Automatic Speech Recognition. CoRR abs/2305.19972 (2023) - [i15]Zefa Hu, Ziyi Ni, Jing Shi, Shuang Xu, Bo Xu:
A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction. CoRR abs/2307.16200 (2023) - 2022
- [i14]Feilong Chen, Duzhen Zhang, Minglun Han, Xiuyi Chen, Jing Shi, Shuang Xu, Bo Xu:
VLP: A Survey on Vision-Language Pre-training. CoRR abs/2202.09061 (2022) - 2021
- [i13]Xuankai Chang, Takashi Maekaku, Pengcheng Guo, Jing Shi, Yen-Ju Lu, Aswin Shanmugam Subramanian, Tianzi Wang, Shu-Wen Yang, Yu Tsao, Hung-yi Lee, Shinji Watanabe:
An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition. CoRR abs/2110.04590 (2021) - [i12]Wangyou Zhang, Jing Shi, Chenda Li, Shinji Watanabe, Yanmin Qian:
Closing the Gap Between Time-Domain Multi-Channel Speech Enhancement on Real and Simulation Conditions. CoRR abs/2110.14139 (2021) - [i11]Jing Shi, Xuankai Chang, Tomoki Hayashi, Yen-Ju Lu, Shinji Watanabe, Bo Xu:
Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem. CoRR abs/2112.09382 (2021) - 2020
- [i10]Yusuke Fujita, Shinji Watanabe, Shota Horiguchi, Yawen Xue, Jing Shi, Kenji Nagamatsu:
Neural Speaker Diarization with Speaker-Wise Chain Rule. CoRR abs/2006.01796 (2020) - [i9]Jing Shi, Jiaming Xu, Yusuke Fujita, Shinji Watanabe, Bo Xu:
Speaker-Conditional Chain Model for Speech Separation and Extraction. CoRR abs/2006.14149 (2020) - [i8]Jing Shi, Xuankai Chang, Pengcheng Guo, Shinji Watanabe, Yusuke Fujita, Jiaming Xu, Bo Xu, Lei Xie:
Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals. CoRR abs/2006.14150 (2020) - [i7]Matthew Maciejewski, Jing Shi, Shinji Watanabe, Sanjeev Khudanpur:
Training Noisy Single-Channel Speech Separation With Noisy Oracle Sources: A Large Gap and A Small Step. CoRR abs/2010.12430 (2020) - [i6]Pengcheng Guo, Florian Boyer, Xuankai Chang, Tomoki Hayashi, Yosuke Higuchi, Hirofumi Inaguma, Naoyuki Kamo, Chenda Li, Daniel Garcia-Romero, Jiatong Shi, Jing Shi, Shinji Watanabe, Kun Wei, Wangyou Zhang, Yuekai Zhang:
Recent Developments on ESPnet Toolkit Boosted by Conformer. CoRR abs/2010.13956 (2020) - [i5]Chenda Li, Jing Shi, Wangyou Zhang, Aswin Shanmugam Subramanian, Xuankai Chang, Naoyuki Kamo, Moto Hira, Tomoki Hayashi, Christoph Böddeker, Zhuo Chen, Shinji Watanabe:
ESPnet-se: end-to-end speech enhancement and separation toolkit designed for asr integration. CoRR abs/2011.03706 (2020) - [i4]Peng Zhang, Jiaming Xu, Jing Shi, Yunzhe Hao, Bo Xu:
Audio-visual Speech Separation with Adversarially Disentangled Visual Representation. CoRR abs/2011.14334 (2020) - [i3]Shinji Watanabe, Florian Boyer, Xuankai Chang, Pengcheng Guo, Tomoki Hayashi, Yosuke Higuchi, Takaaki Hori, Wen-Chin Huang, Hirofumi Inaguma, Naoyuki Kamo, Shigeki Karita, Chenda Li, Jing Shi, Aswin Shanmugam Subramanian, Wangyou Zhang:
The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans. CoRR abs/2012.13006 (2020) - 2018
- [i2]Jing Shi, Jiaming Xu, Yiqun Yao, Bo Xu:
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks. CoRR abs/1811.06145 (2018) - 2016
- [i1]Jiaming Xu, Jing Shi, Yiqun Yao, Suncong Zheng, Bo Xu, Bo Xu:
Hierarchical Memory Networks for Answer Selection on Unknown Words. CoRR abs/1609.08843 (2016)
Coauthor Index
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