Search Results for author: Liming Wang

Found 26 papers, 5 papers with code

Mitigating the Inconsistency Between Word Saliency and Model Confidence with Pathological Contrastive Training

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.

Contrastive Learning

PARSE: An Efficient Search Method for Black-box Adversarial Text Attacks

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.

Adversarial Text

Coreference by Appearance: Visually Grounded Event Coreference Resolution

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.

coreference-resolution Event Coreference Resolution +2

Automatic Prediction of Amyotrophic Lateral Sclerosis Progression using Longitudinal Speech Transformer

no code implementations26 Jun 2024 Liming Wang, Yuan Gong, Nauman Dawalatabad, Marco Vilela, Katerina Placek, Brian Tracey, Yishu Gong, Alan Premasiri, Fernando Vieira, James Glass

Automatic prediction of amyotrophic lateral sclerosis (ALS) disease progression provides a more efficient and objective alternative than manual approaches.

Towards Unsupervised Speech Recognition Without Pronunciation Models

no code implementations12 Jun 2024 Junrui Ni, Liming Wang, Yang Zhang, Kaizhi Qian, Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo

Recent advancements in supervised automatic speech recognition (ASR) have achieved remarkable performance, largely due to the growing availability of large transcribed speech corpora.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Unsupervised Speech Recognition with N-Skipgram and Positional Unigram Matching

1 code implementation3 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.

speech-recognition Speech Recognition +1

Prototypes-oriented Transductive Few-shot Learning with Conditional Transport

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.

Few-Shot Learning

A Theory of Unsupervised Speech Recognition

1 code implementation9 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

A Smart Switch Configuration and Reliability Assessment Method for Large-Scale Offshore Wind Farm Electrical Collector System

no code implementations8 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.

Optimal Planning for Electrical Collector System of Offshore Wind Farm with Double-sided Ring Topology

no code implementations30 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.

Interactive Log Parsing via Light-weight User Feedback

no code implementations28 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.

Log Parsing

Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition

1 code implementation29 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

360-Attack: Distortion-Aware Perturbations From Perspective-Views

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.

Adversarial Attack

Website fingerprinting on early QUIC traffic

no code implementations28 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.

Feature Importance

XNMT: The eXtensible Neural Machine Translation Toolkit

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.

Machine Translation NMT +3

Planar Object Tracking in the Wild: A Benchmark

no code implementations23 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.

Homography Estimation Object +1

Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information

no code implementations1 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.

General Classification

Generalized Bregman Divergence and Gradient of Mutual Information for Vector Poisson Channels

no code implementations28 Jan 2013 Liming Wang, Miguel Rodrigues, Lawrence Carin

We investigate connections between information-theoretic and estimation-theoretic quantities in vector Poisson channel models.

Compressive Sensing Document Classification

Grouping Contours Via a Related Image

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.


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