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Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition

Oct 08, 2021
Zhiyun Lu, Yanwei Pan, Thibault Doutre, Liangliang Cao, Rohit Prabhavalkar, Chao Zhang, Trevor Strohman

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Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition

Oct 07, 2021
Qiujia Li, Yu Zhang, David Qiu, Yanzhang He, Liangliang Cao, Philip C. Woodland

* Submitted to ICASSP 2022 

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BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition

Oct 01, 2021
Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu

* 14 pages, 7 figures, 13 tables; v2: minor corrections, reference baselines and bibliography updated 

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Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction

Apr 26, 2021
David Qiu, Yanzhang He, Qiujia Li, Yu Zhang, Liangliang Cao, Ian McGraw

* Submitted to Interspeech 2021 

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Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models

Apr 25, 2021
Thibault Doutre, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Olivier Siohan, Liangliang Cao

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Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models

Apr 06, 2021
Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao

* Submitted to INTERSPEECH 2021 

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Residual Energy-Based Models for End-to-End Speech Recognition

Mar 25, 2021
Qiujia Li, Yu Zhang, Bo Li, Liangliang Cao, Philip C. Woodland

* Submitted to Interspeech 2021 

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Learning Word-Level Confidence For Subword End-to-End ASR

Mar 11, 2021
David Qiu, Qiujia Li, Yanzhang He, Yu Zhang, Bo Li, Liangliang Cao, Rohit Prabhavalkar, Deepti Bhatia, Wei Li, Ke Hu, Tara N. Sainath, Ian McGraw

* To appear in ICASSP 2021 

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Spatial-Temporal Alignment Network for Action Recognition and Detection

Dec 04, 2020
Junwei Liang, Liangliang Cao, Xuehan Xiong, Ting Yu, Alexander Hauptmann

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Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition

Oct 23, 2020
Qiujia Li, David Qiu, Yu Zhang, Bo Li, Yanzhang He, Philip C. Woodland, Liangliang Cao, Trevor Strohman

* Submitted to ICASSP 2021 

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Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data

Oct 22, 2020
Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao

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Zero-shot Entity Linking with Efficient Long Range Sequence Modeling

Oct 12, 2020
Zonghai Yao, Liangliang Cao, Huapu Pan

* 6 pages, 6 figures, Findings of EMNLP2020 

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RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions

May 17, 2020
Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu

* Submitted to Interspeech 2020 

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Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions

Mar 30, 2020
Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, Rui Wang, Subhransu Maji

* 18 pages, 5 figures 

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Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models

Nov 21, 2019
Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan

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Product Image Recognition with Guidance Learning and Noisy Supervision

Jul 26, 2019
Qing Li, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao

* 10 pages 

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Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning

Jul 25, 2019
Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian

* 15 pages, 8 figures, 5 tables, under review by Medical Image Analysis. arXiv admin note: substantial text overlap with arXiv:1906.03467 

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3DFPN-HS$^2$: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection

Jun 11, 2019
Jingya Liu, Liangliang Cao, Oguz Akin, Yingli Tian

* 8 pages, 3 figures. Accepted to MICCAI 2019 

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Automatic adaptation of object detectors to new domains using self-training

Apr 15, 2019
Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik Learned-Miller

* Accepted at CVPR 2019 

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Learning Deterministic Policy with Target for Power Control in Wireless Networks

Feb 21, 2019
Yujiao Lu, Hancheng Lu, Liangliang Cao, Feng Wu, Daren Zhu

* 7 pages, 7 figures, GlobeCom2018 

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Matrix Factorization on GPUs with Memory Optimization and Approximate Computing

Aug 11, 2018
Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao

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Focal Visual-Text Attention for Visual Question Answering

Jun 05, 2018
Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander Hauptmann

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Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids

Dec 04, 2017
Zhiqiang Shen, Honghui Shi, Rogerio Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang

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Lip2AudSpec: Speech reconstruction from silent lip movements video

Oct 26, 2017
Hassan Akbari, Himani Arora, Liangliang Cao, Nima Mesgarani

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MemexQA: Visual Memex Question Answering

Aug 04, 2017
Lu Jiang, Junwei Liang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, Alexander Hauptmann


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Image Based Appraisal of Real Estate Properties

Jul 27, 2017
Quanzeng You, Ran Pang, Liangliang Cao, Jiebo Luo

* 8 pages, 8 figures 

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Learning from Noisy Labels with Distillation

Apr 07, 2017
Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Li-Jia Li

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Detecting Sarcasm in Multimodal Social Platforms

Aug 08, 2016
Rossano Schifanella, Paloma de Juan, Joel Tetreault, Liangliang Cao

* 10 pages, 3 figures, final version published in the Proceedings of ACM Multimedia 2016 

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