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Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model


Feb 22, 2021
Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Eskimez, Liyang Lu, Hong Qu, Michael Zeng

* Accepted in 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021) 

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Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders


Feb 12, 2021
Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng


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Speech-language Pre-training for End-to-end Spoken Language Understanding


Feb 11, 2021
Yao Qian, Ximo Bian, Yu Shi, Naoyuki Kanda, Leo Shen, Zhen Xiao, Michael Zeng


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Mixed-Lingual Pre-training for Cross-lingual Summarization


Oct 18, 2020
Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang

* Accepted at Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) 2020 

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MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension


Sep 29, 2020
Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li

* to appear at AACL-IJCNLP 2020 

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Recognizing Micro-expression in Video Clip with Adaptive Key-frame Mining


Sep 19, 2020
Min Peng, Chongyang Wang, Yuan Gao, Tao Bi, Tong Chen, Yu Shi, Xiang-Dong Zhou

* Submitted for Review in IEEE Transactions on Affective Computing 

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DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging


Aug 26, 2020
Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang

* 11 pages, 3 figures, Early accepted to Medical Image Computing and Computer Assisted Interventions Conference (MICCAI) 2020 

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Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans


Aug 24, 2020
Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu

* 10 pages, 2 figures; MICCAI 2020 

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Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set


Jun 09, 2020
Wei Wu, Yu Shi, Xukun Li, Yukun Zhou, Peng Du, Shuangzhi Lv, Tingbo Liang, Jifang Sheng


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Improving Readability for Automatic Speech Recognition Transcription


Apr 09, 2020
Junwei Liao, Sefik Emre Eskimez, Liyang Lu, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng


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Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights


Sep 29, 2019
Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han

* 10 pages, published at ICDM 2018 

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Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity


Sep 04, 2019
Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han

* CIKM 2019 

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Higher-Order Clustering in Heterogeneous Information Networks


Nov 28, 2018
Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han

* 12 pages 

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mvn2vec: Preservation and Collaboration in Multi-View Network Embedding


Oct 30, 2018
Yu Shi, Fangqiu Han, Xinwei He, Xinran He, Carl Yang, Jie Luo, Jiawei Han


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Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks


Jul 10, 2018
Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han

* 10 pages. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, United Kingdom, ACM, 2018 

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Training of photonic neural networks through in situ backpropagation


May 25, 2018
Tyler W. Hughes, Momchil Minkov, Yu Shi, Shanhui Fan

* 12 pages, 6 figures 

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Gradient Boosting With Piece-Wise Linear Regression Trees


Apr 04, 2018
Yu Shi, Jian Li, Zhize Li


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AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks


Mar 05, 2018
Yu Shi, Huan Gui, Qi Zhu, Lance Kaplan, Jiawei Han

* 11 pages including additional supplementary materials. In Proceedings of the 2018 SIAM International Conference on Data Mining, San Diego, California, USA, SIAM, 2018 

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PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks


Jun 05, 2017
Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han

* 10 pages. In Proceedings of the 23nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, Nova Scotia, Canada, ACM, 2017 

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