no code implementations • Findings (ACL) 2022 • Pengwei Zhan, Yang Wu, Shaolei Zhou, Yunjian Zhang, Liming Wang
We show that the pathological inconsistency is caused by the representation collapse issue, which means that the representation of the sentences with tokens in different saliency reduced is somehow collapsed, and thus the important words cannot be distinguished from unimportant words in terms of model confidence changing.
no code implementations • ACL 2022 • Liming Wang, Siyuan Feng, Mark Hasegawa-Johnson, Chang Yoo
Phonemes are defined by their relationship to words: changing a phoneme changes the word.
no code implementations • COLING 2022 • Pengwei Zhan, Chao Zheng, Jing Yang, Yuxiang Wang, Liming Wang, Yang Wu, Yunjian Zhang
Previous works on word-level attacks widely use word importance ranking (WIR) methods and complex search methods, including greedy search and heuristic algorithms, to find optimal substitutions.
no code implementations • CRAC (ACL) 2021 • Liming Wang, Shengyu Feng, Xudong Lin, Manling Li, Heng Ji, Shih-Fu Chang
Event coreference resolution is critical to understand events in the growing number of online news with multiple modalities including text, video, speech, etc.
1 code implementation • 3 Oct 2023 • Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo
Training unsupervised speech recognition systems presents challenges due to GAN-associated instability, misalignment between speech and text, and significant memory demands.
no code implementations • ICCV 2023 • Long Tian, Jingyi Feng, Wenchao Chen, Xiaoqiang Chai, Liming Wang, Xiyang Liu, Bo Chen
Transductive Few-Shot Learning (TFSL) has recently attracted increasing attention since it typically outperforms its inductive peer by leveraging statistics of query samples.
1 code implementation • 9 Jun 2023 • Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo
Unsupervised speech recognition (ASR-U) is the problem of learning automatic speech recognition (ASR) systems from unpaired speech-only and text-only corpora.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 8 Apr 2023 • Xiaochi Ding, Xinwei Shen, Qiuwei Wu, Liming Wang, Dechang Yang
With the development of offshore wind farms (OWFs) in far-offshore and deep-sea areas, each OWF could contain more and more wind turbines and cables, making it imperative to study high-reliability electrical collector system (ECS) for OWF.
no code implementations • 30 Jan 2023 • Xinwei Shen, Qiuwei Wu, Hongcai Zhang, Liming Wang
We propose a planning method for offshore wind farm electrical collector system (OWF-ECS) with double-sided ring topology meeting the "N-1" criterion on cable faults, in which the submarine cables layout of OWF is optimized considering cable length and power losses.
no code implementations • 28 Jan 2023 • Liming Wang, Hong Xie, Ye Li, Jian Tan, John C. S. Lui
Template mining is one of the foundational tasks to support log analysis, which supports the diagnosis and troubleshooting of large scale Web applications.
1 code implementation • 8 Nov 2022 • Yang Wu, Jing Yang, Xiaojun Zhou, Liming Wang, Zhen Xu
Automatic detecting rumors on social media has become a challenging task.
1 code implementation • 29 Mar 2022 • Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson
An unsupervised text-to-speech synthesis (TTS) system learns to generate speech waveforms corresponding to any written sentence in a language by observing: 1) a collection of untranscribed speech waveforms in that language; 2) a collection of texts written in that language without access to any transcribed speech.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • CVPR 2022 • Yunjian Zhang, Yanwei Liu, Jinxia Liu, Jingbo Miao, Antonios Argyriou, Liming Wang, Zhen Xu
In this paper, we propose an adversarial attack targeting spherical images, called 360-attactk, that transfers adversarial perturbations from perspective-view (PV) images to a final adversarial spherical image.
no code implementations • 29 Sep 2021 • Liming Wang, Siyuan Feng, Mark A. Hasegawa-Johnson, Chang D. Yoo
Phonemes are defined by their relationship to words: changing a phoneme changes the word.
no code implementations • 28 Jan 2021 • Pengwei Zhan, Liming Wang, Yi Tang
Extensive experiments show that, in the early traffic scenario, GQUIC is the most vulnerable to WFP attacks among GQUIC, IQUIC, and HTTPS, while IQUIC is more vulnerable than HTTPS, but the vulnerability of the three protocols is similar in the normal full traffic scenario.
1 code implementation • WS 2018 • Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang
In this paper we describe the design of XNMT and its experiment configuration system, and demonstrate its utility on the tasks of machine translation, speech recognition, and multi-tasked machine translation/parsing.
no code implementations • 14 Feb 2018 • Odette Scharenborg, Laurent Besacier, Alan Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian Stueker, Pierre Godard, Markus Mueller, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang, Emmanuel Dupoux
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding the discovery of linguistic units (subwords and words) in a language without orthography.
no code implementations • 23 Mar 2017 • Pengpeng Liang, Yifan Wu, Hu Lu, Liming Wang, Chunyuan Liao, Haibin Ling
In this paper, we present a carefully designed planar object tracking benchmark containing 210 videos of 30 planar objects sampled in the natural environment.
no code implementations • 1 Dec 2014 • Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues
These conditions, which are reminiscent of the well-known Slepian-Wolf and Wyner-Ziv conditions, are a function of the number of linear features extracted from the signal of interest, the number of linear features extracted from the side information signal, and the geometry of these signals and their interplay.
no code implementations • NeurIPS 2013 • Liming Wang, David E. Carlson, Miguel Rodrigues, David Wilcox, Robert Calderbank, Lawrence Carin
We consider design of linear projection measurements for a vector Poisson signal model.
no code implementations • 28 Jan 2013 • Liming Wang, Miguel Rodrigues, Lawrence Carin
We investigate connections between information-theoretic and estimation-theoretic quantities in vector Poisson channel models.
no code implementations • NeurIPS 2008 • Praveen Srinivasan, Liming Wang, Jianbo Shi
We present a method for further grouping of contours in an image using their relationship to the contours of a second, related image.