Search Results for author: Xu Li

Found 27 papers, 5 papers with code

S$^2$-MLPv2: Improved Spatial-Shift MLP Architecture for Vision

no code implementations2 Aug 2021 Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li

More recently, using smaller patches with a pyramid structure, Vision Permutator (ViP) and Global Filter Network (GFNet) achieve better performance than S$^2$-MLP.

Channel-wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks

2 code implementations19 Jul 2021 Xu Li, Xixin Wu, Hui Lu, Xunying Liu, Helen Meng

This argument motivates the current work that presents a novel, channel-wise gated Res2Net (CG-Res2Net), which modifies Res2Net to enable a channel-wise gating mechanism in the connection between feature groups.

Speaker Verification

Rethinking Token-Mixing MLP for MLP-based Vision Backbone

no code implementations28 Jun 2021 Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li

By introducing the inductive bias from the image processing, convolution neural network (CNN) has achieved excellent performance in numerous computer vision tasks and has been established as \emph{de facto} backbone.

A Scalable 256-Elements E-Band Phased-Array Transceiver for Broadband Communication

no code implementations20 Jun 2021 Xu Li, Wenyao Zhai, Morris Repeta, Hua Cai, Tyler Ross, Kimia Ansari, Sam Tiller, Hari Krishna Pothula, Dong Liang, Fan Yang, Yibo Lyu, Songlin Shuai, Guangjian Wang, Wen Tong

For E-band wireless communications, a high gain steerable antenna with sub-arrays is desired to reduce the implementation complexity.

S$^2$-MLP: Spatial-Shift MLP Architecture for Vision

no code implementations14 Jun 2021 Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, Ping Li

We discover that the token-mixing MLP is a variant of the depthwise convolution with a global reception field and spatial-specific configuration.

Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning

no code implementations3 Dec 2020 Wen Wu, Nan Chen, Conghao Zhou, Mushu Li, Xuemin Shen, Weihua Zhuang, Xu Li

To obtain an optimal RAN slicing policy for accommodating the spatial-temporal dynamics of vehicle traffic density, we first formulate a constrained RAN slicing problem with the objective to minimize long-term system cost.

Two Types of Mixed Orthogonal Frequency Division Multiplexing (X-OFDM) Waveform for Optical Wireless Communication

no code implementations7 Nov 2020 Xu Li, Jingjing Huang, Yibo Lyu, Rui Ni, Jiajin Luo, Junping Zhang

For the even sub-carriers in the frequency domain, the signal in the time domain after the IFFT is symmetric.

Replay and Synthetic Speech Detection with Res2net Architecture

2 code implementations28 Oct 2020 Xu Li, Na Li, Chao Weng, Xunying Liu, Dan Su, Dong Yu, Helen Meng

This multiple scaling mechanism significantly improves the countermeasure's generalizability to unseen spoofing attacks.

Feature Engineering

Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers

no code implementations22 Sep 2020 Boyuan Feng, yuke wang, Xu Li, Yufei Ding

Graph neural networks (GNNs) have achieved high performance in analyzing graph-structured data and have been widely deployed in safety-critical areas, such as finance and autonomous driving.

Adversarial Attack Autonomous Driving

Learned Proximal Networks for Quantitative Susceptibility Mapping

1 code implementation11 Aug 2020 Kuo-Wei Lai, Manisha Aggarwal, Peter van Zijl, Xu Li, Jeremias Sulam

More importantly, this framework is believed to be the first deep learning QSM approach that can naturally handle an arbitrary number of phase input measurements without the need for any ad-hoc rotation or re-training.

Image Reconstruction

SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization

no code implementations9 Jul 2020 Boyuan Feng, yuke wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding

With the increasing popularity of graph-based learning, Graph Neural Networks (GNNs) win lots of attention from the research and industry field because of their high accuracy.


Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification

no code implementations11 Jun 2020 Xu Li, Na Li, Jinghua Zhong, Xixin Wu, Xunying Liu, Dan Su, Dong Yu, Helen Meng

Orthogonal to prior approaches, this work proposes to defend ASV systems against adversarial attacks with a separate detection network, rather than augmenting adversarial data into ASV training.

Data Augmentation Speaker Verification

Bayesian x-vector: Bayesian Neural Network based x-vector System for Speaker Verification

no code implementations8 Apr 2020 Xu Li, Jinghua Zhong, Jianwei Yu, Shoukang Hu, Xixin Wu, Xunying Liu, Helen Meng

Our experiment results indicate that the DNN x-vector system could benefit from BNNs especially when the mismatch problem is severe for evaluations using out-of-domain data.

Speaker Verification

Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation

no code implementations12 Mar 2020 Haiyan Yin, Dingcheng Li, Xu Li, Ping Li

To this end, we introduce a cooperative training paradigm, where a language model is cooperatively trained with the generator and we utilize the language model to efficiently shape the data distribution of the generator against mode collapse.

Adversarial Text Language Modelling +2

Deep segmental phonetic posterior-grams based discovery of non-categories in L2 English speech

no code implementations1 Feb 2020 Xu Li, Xixin Wu, Xunying Liu, Helen Meng

And then we explore the non-categories by looking for the SPPGs with more than one peak.

FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides

1 code implementation3 Jan 2020 Xiebo Geng, Sibo Liua, Wei Han, Xu Li, Jiabo Ma, Jingya Yu, Xiuli Liu, Sahoqun Zeng, Li Chen, Shenghua Cheng

However, although existing image fusion techniques, including traditional algorithms and deep learning-based algorithms, can generate high-quality fused images, they need multiple images with different focus depths in the same field of view.

Semantic Segmentation whole slide images

Adversarial Attacks on GMM i-vector based Speaker Verification Systems

1 code implementation8 Nov 2019 Xu Li, Jinghua Zhong, Xixin Wu, Jianwei Yu, Xunying Liu, Helen Meng

Experiment results show that GMM i-vector systems are seriously vulnerable to adversarial attacks, and the crafted adversarial samples prove to be transferable and pose threats to neuralnetwork speaker embedding based systems (e. g. x-vector systems).

Speaker Verification

Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction

no code implementations29 Apr 2019 Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li

In this paper, we consider the problem of open information extraction (OIE) for extracting entity and relation level intermediate structures from sentences in open-domain.

Global Optimization Open Information Extraction +1

Segmentation of Levator Hiatus Using Multi-Scale Local Region Active contours and Boundary Shape Similarity Constraint

no code implementations11 Jan 2019 Xinling Zhang, Xu Li, Ying Chen, Yixin Gan, Dexing Kong, Rongqin Zheng

In this paper, a multi-scale framework with local region based active contour and boundary shape similarity constraint is proposed for the segmentation of levator hiatus in ultrasound images.

Global optimization of expensive black-box models based on asynchronous hybrid-criterion with interval reduction

no code implementations29 Nov 2018 Chunlin Gong, Xu Li, Hua Su, Jinlei Guo, Liangxian Gu

Third, to accelerate the local searching efficiency, searching for a local optimum with sequential quadratic programming (SQP) based on the local surrogate models in the reduced interval, which involves some samples near the current optimum.

Global Optimization

Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain

no code implementations EMNLP 2018 Mingming Sun, Xu Li, Ping Li

We propose the task of Open-Domain Information Narration (OIN) as the reverse task of Open Information Extraction (OIE), to implement the dual structure between language and knowledge in the open domain.

Open Information Extraction Relation Classification

Noise Robust IOA/CAS Speech Separation and Recognition System For The Third 'CHIME' Challenge

no code implementations21 Sep 2015 Xiaofei Wang, Chao Wu, Pengyuan Zhang, Ziteng Wang, Yong liu, Xu Li, Qiang Fu, Yonghong Yan

This paper presents the contribution to the third 'CHiME' speech separation and recognition challenge including both front-end signal processing and back-end speech recognition.

automatic-speech-recognition Language Modelling +2

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