Search Results for author: Sheng Xu

Found 50 papers, 20 papers with code

DCT-Centered Temporal Relation Extraction

no code implementations COLING 2022 Liang Wang, Peifeng Li, Sheng Xu

Most previous work on temporal relation extraction only focused on extracting the temporal relations among events or suffered from the issue of different expressions of events, timexes and Document Creation Time (DCT).

Multi-Task Learning Relation +2

CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues

1 code implementation19 Dec 2023 Linglin Jing, Sheng Xu, Yifan Wang, Yuzhe Zhou, Tao Shen, Zhigang Ji, Hui Fang, Zhen Li, Siqi Sun

Accurate identification of protein nucleic-acid-binding residues poses a significant challenge with important implications for various biological processes and drug design.

Contrastive Learning Protein Language Model

Accurate Prediction of Antibody Function and Structure Using Bio-Inspired Antibody Language Model

1 code implementation31 Aug 2023 Hongtai Jing, Zhengtao Gao, Sheng Xu, Tao Shen, Zhangzhi Peng, Shwai He, Tao You, Shuang Ye, Wei Lin, Siqi Sun

Remarkably, BALMFold outperforms those well-established methods like AlphaFold2, IgFold, ESMFold, and OmegaFold in the antibody benchmark, demonstrating significant potential to advance innovative engineering and streamline therapeutic antibody development by reducing the need for unnecessary trials.

Language Modelling

DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs

no code implementations27 Jun 2023 Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo

One natural approach is to use 1-bit CNNs to reduce the computation and memory cost of NAS by taking advantage of the strengths of each in a unified framework, while searching the 1-bit CNNs is more challenging due to the more complicated processes involved.

Neural Architecture Search object-detection +2

Bi-ViT: Pushing the Limit of Vision Transformer Quantization

no code implementations21 May 2023 Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang

Vision transformers (ViTs) quantization offers a promising prospect to facilitate deploying large pre-trained networks on resource-limited devices.

Binarization Quantization

AF2-Mutation: Adversarial Sequence Mutations against AlphaFold2 on Protein Tertiary Structure Prediction

no code implementations15 May 2023 Zhongju Yuan, Tao Shen, Sheng Xu, Leiye Yu, Ruobing Ren, Siqi Sun

Deep learning-based approaches, such as AlphaFold2 (AF2), have significantly advanced protein tertiary structure prediction, achieving results comparable to real biological experimental methods.

Q-DETR: An Efficient Low-Bit Quantized Detection Transformer

1 code implementation CVPR 2023 Sheng Xu, Yanjing Li, Mingbao Lin, Peng Gao, Guodong Guo, Jinhu Lu, Baochang Zhang

At the upper level, we introduce a new foreground-aware query matching scheme to effectively transfer the teacher information to distillation-desired features to minimize the conditional information entropy.

object-detection Object Detection +1

Implicit Diffusion Models for Continuous Super-Resolution

1 code implementation CVPR 2023 Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, XianTong Zhen, Baochang Zhang

IDM integrates an implicit neural representation and a denoising diffusion model in a unified end-to-end framework, where the implicit neural representation is adopted in the decoding process to learn continuous-resolution representation.

Denoising Image Super-Resolution

Fossil Image Identification using Deep Learning Ensembles of Data Augmented Multiviews

3 code implementations16 Feb 2023 Chengbin Hou, Xinyu Lin, Hanhui Huang, Sheng Xu, Junxuan Fan, Yukun Shi, Hairong Lv

This framework is designed for general fossil identification and it is expected to see applications to other fossil datasets in future work.

Image Classification

Resilient Binary Neural Network

1 code implementation2 Feb 2023 Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lv

In this paper, we introduce a Resilient Binary Neural Network (ReBNN) to mitigate the frequent oscillation for better BNNs' training.

Target-Referenced Reactive Grasping for Dynamic Objects

no code implementations CVPR 2023 Jirong Liu, Ruo Zhang, Hao-Shu Fang, Minghao Gou, Hongjie Fang, Chenxi Wang, Sheng Xu, Hengxu Yan, Cewu Lu

Reactive grasping, which enables the robot to successfully grasp dynamic moving objects, is of great interest in robotics.

Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer

1 code implementation13 Oct 2022 Yanjing Li, Sheng Xu, Baochang Zhang, Xianbin Cao, Peng Gao, Guodong Guo

The large pre-trained vision transformers (ViTs) have demonstrated remarkable performance on various visual tasks, but suffer from expensive computational and memory cost problems when deployed on resource-constrained devices.

Quantization

Distance Map Supervised Landmark Localization for MR-TRUS Registration

no code implementations11 Oct 2022 Xinrui Song, Xuanang Xu, Sheng Xu, Baris Turkbey, Bradford J. Wood, Thomas Sanford, Pingkun Yan

We then use the predicted landmarks to generate the affine transformation matrix, which outperforms the clinicians' manual rigid registration by a significant margin in terms of TRE.

Image Registration

IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors

1 code implementation7 Oct 2022 Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lv

This explains why existing KD methods are less effective for 1-bit detectors, caused by a significant information discrepancy between the real-valued teacher and the 1-bit student.

Knowledge Distillation object-detection +1

Recurrent Bilinear Optimization for Binary Neural Networks

2 code implementations4 Sep 2022 Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lv, Guodong Guo

To address this issue, Recurrent Bilinear Optimization is proposed to improve the learning process of BNNs (RBONNs) by associating the intrinsic bilinear variables in the back propagation process.

object-detection Object Detection

Genome-wide nucleotide-resolution model of single-strand break site reveals species evolutionary hierarchy

1 code implementation21 Aug 2022 Sheng Xu, Junkang Wei, Yu Li

Besides, SSBlazer is a lightweight model with robust cross-species generalization ability in the cross-species evaluation, which enables the large-scale genome-wide application in diverse species.

An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for Face Mask Detection

1 code implementation30 Mar 2022 Sheng Xu, Zhanyu Guo, Yuchi Liu, Jingwei Fan, Xuxu Liu

However, existing deep learning based models struggle to simultaneously achieve the requirements of both high precision and real-time performance.

Face Detection Object Detection

TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline

1 code implementation17 Feb 2022 Hongjie Fang, Hao-Shu Fang, Sheng Xu, Cewu Lu

However, the majority of current grasping algorithms would fail in this case since they heavily rely on the depth image, while ordinary depth sensors usually fail to produce accurate depth information for transparent objects owing to the reflection and refraction of light.

Depth Completion Robotic Grasping +2

TerViT: An Efficient Ternary Vision Transformer

no code implementations20 Jan 2022 Sheng Xu, Yanjing Li, Teli Ma, Bohan Zeng, Baochang Zhang, Peng Gao, Jinhu Lv

Vision transformers (ViTs) have demonstrated great potential in various visual tasks, but suffer from expensive computational and memory cost problems when deployed on resource-constrained devices.

Neural Content Extraction for Poster Generation of Scientific Papers

no code implementations16 Dec 2021 Sheng Xu, Xiaojun Wan

Then we propose a three-step framework to tackle this task and focus on the content extraction step in this study.

Document Summarization

POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing

no code implementations26 Nov 2021 Sheng Xu, Yanjing Li, Junhe Zhao, Baochang Zhang, Guodong Guo

Real-time point cloud processing is fundamental for lots of computer vision tasks, while still challenged by the computational problem on resource-limited edge devices.

Collage: Seamless Integration of Deep Learning Backends with Automatic Placement

1 code implementation1 Nov 2021 Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia

Given the fast-evolving nature of the DL ecosystem, this manual approach often slows down continuous innovations across different layers; it prevents hardware vendors from the fast deployment of their cutting-edge libraries, DL framework developers must repeatedly adjust their hand-coded rules to accommodate new versions of libraries, and machine learning practitioners need to wait for the integration of new technologies and often encounter unsatisfactory performance.

End-to-end Ultrasound Frame to Volume Registration

1 code implementation14 Jul 2021 Hengtao Guo, Xuanang Xu, Sheng Xu, Bradford J. Wood, Pingkun Yan

Fusing intra-operative 2D transrectal ultrasound (TRUS) image with pre-operative 3D magnetic resonance (MR) volume to guide prostate biopsy can significantly increase the yield.

Cross-modal Attention for MRI and Ultrasound Volume Registration

1 code implementation9 Jul 2021 Xinrui Song, Hengtao Guo, Xuanang Xu, Hanqing Chao, Sheng Xu, Baris Turkbey, Bradford J. Wood, Ge Wang, Pingkun Yan

In the past few years, convolutional neural networks (CNNs) have been proved powerful in extracting image features crucial for image registration.

Image Registration

Layer-Wise Searching for 1-Bit Detectors

no code implementations CVPR 2021 Sheng Xu, Junhe Zhao, Jinhu Lu, Baochang Zhang, Shumin Han, David Doermann

At each layer, it exploits a differentiable binarization search (DBS) to minimize the angular error in a student-teacher framework.

Binarization

RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images

1 code implementation3 Mar 2021 Minghao Gou, Hao-Shu Fang, Zhanda Zhu, Sheng Xu, Chenxi Wang, Cewu Lu

In the first stage, an encoder-decoder like convolutional neural network Angle-View Net(AVN) is proposed to predict the SO(3) orientation of the gripper at every location of the image.

FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data

no code implementations9 Jan 2021 Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu

Our scalable real-time forecasting system FlashP (Flash Prediction) is built based on this idea, with two major challenges to be resolved in this paper: first, we need to figure out how approximate aggregations affect the fitting of forecasting models, and forecasting results; and second, accordingly, what sampling algorithms we should use to obtain these approximate aggregations and how large the samples are.

Time Series Time Series Analysis

A Neural Local Coherence Analysis Model for Clarity Text Scoring

no code implementations COLING 2020 Panitan Muangkammuen, Sheng Xu, Fumiyo Fukumoto, Kanda Runapongsa Saikaew, Jiyi Li

Local coherence relation between two phrases/sentences such as cause-effect and contrast gives a strong influence of whether a text is well-structured or not.

Language Modelling

Transducer Adaptive Ultrasound Volume Reconstruction

no code implementations17 Nov 2020 Hengtao Guo, Sheng Xu, Bradford J. Wood, Pingkun Yan

However, such algorithms are specific to particular transducers and scanning trajectories associated with the training data, which may not be generalized to other image acquisition settings.

Domain Adaptation

Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS

no code implementations ICLR 2021 Lin Chen, Sheng Xu

We prove that the reproducing kernel Hilbert spaces (RKHS) of a deep neural tangent kernel and the Laplace kernel include the same set of functions, when both kernels are restricted to the sphere $\mathbb{S}^{d-1}$.

The 1st Tiny Object Detection Challenge:Methods and Results

1 code implementation16 Sep 2020 Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jiang, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi

The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection.

Human Detection Object +2

Two-Stage Maximum Score Estimator

no code implementations7 Sep 2020 Wayne Yuan Gao, Sheng Xu, Kan Xu

We characterize the asymptotic distribution of the TSMS estimator, which features phase transitions depending on the dimension and thus the convergence rate of the first-stage estimation.

regression Vocal Bursts Valence Prediction

Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning

1 code implementation13 Jun 2020 Hengtao Guo, Sheng Xu, Bradford Wood, Pingkun Yan

Transrectal ultrasound (US) is the most commonly used imaging modality to guide prostate biopsy and its 3D volume provides even richer context information.

Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs

no code implementations31 May 2020 Sheng Xu, Zhou Fan, Sahand Negahban

We study estimation of a gradient-sparse parameter vector $\boldsymbol{\theta}^* \in \mathbb{R}^p$, having strong gradient-sparsity $s^*:=\|\nabla_G \boldsymbol{\theta}^*\|_0$ on an underlying graph $G$.

Logical Differencing in Dyadic Network Formation Models with Nontransferable Utilities

no code implementations3 Jan 2020 Wayne Yuan Gao, Ming Li, Sheng Xu

This paper considers a semiparametric model of dyadic network formation under nontransferable utilities (NTU).

Unified Multi-scale Feature Abstraction for Medical Image Segmentation

no code implementations24 Oct 2019 Xi Fang, Bo Du, Sheng Xu, Bradford J. Wood, Pingkun Yan

Automatic medical image segmentation, an essential component of medical image analysis, plays an importantrole in computer-aided diagnosis.

Image Segmentation Medical Image Segmentation +2

Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese

no code implementations ACL 2019 Sheng Xu, Peifeng Li, Fang Kong, Qiaoming Zhu, Guodong Zhou

In the literature, most of the previous studies on English implicit discourse relation recognition only use sentence-level representations, which cannot provide enough semantic information in Chinese due to its unique paratactic characteristics.

Relation Sentence +1

Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements

no code implementations15 May 2019 Sheng Xu, Zhou Fan

We consider estimating a piecewise-constant image, or a gradient-sparse signal on a general graph, from noisy linear measurements.

Shubnikov-de Haas and de Haas-van Alphen oscillations in topological semimetal CaAl4

no code implementations15 Nov 2018 Sheng Xu, Jian-Feng Zhang, Yi-Yan Wang, Lin-Lin Sun, Huan Wang, Yuan Su, Xiao-Yan Wang, Kai Liu, Tian-Long Xia

An electron-type quasi-2D Fermi surface is found by the angle-dependent Shubnikov-de Haas oscillations, de Haas-van Alphen oscillations and the first-principles calculations.

Materials Science Mesoscale and Nanoscale Physics

MCDTB: A Macro-level Chinese Discourse TreeBank

no code implementations COLING 2018 Feng Jiang, Sheng Xu, Xiaomin Chu, Peifeng Li, Qiaoming Zhu, Guodong Zhou

In view of the differences between the annotations of micro and macro discourse rela-tionships, this paper describes the relevant experiments on the construction of the Macro Chinese Discourse Treebank (MCDTB), a higher-level Chinese discourse corpus.

Reading Comprehension

Employing Text Matching Network to Recognise Nuclearity in Chinese Discourse

no code implementations COLING 2018 Sheng Xu, Peifeng Li, Guodong Zhou, Qiaoming Zhu

The task of nuclearity recognition in Chinese discourse remains challenging due to the demand for more deep semantic information.

Question Answering Text Matching

Learning Deep Similarity Metric for 3D MR-TRUS Registration

no code implementations12 Jun 2018 Grant Haskins, Jochen Kruecker, Uwe Kruger, Sheng Xu, Peter A. Pinto, Brad J. Wood, Pingkun Yan

Conclusion: A similarity metric that is learned using a deep neural network can be used to assess the quality of any given image registration and can be used in conjunction with the aforementioned optimization framework to perform automatic registration that is robust to poor initialization.

Image Registration

Adversarial Image Registration with Application for MR and TRUS Image Fusion

no code implementations30 Apr 2018 Pingkun Yan, Sheng Xu, Ardeshir R. Rastinehad, Brad J. Wood

Robust and accurate alignment of multimodal medical images is a very challenging task, which however is very useful for many clinical applications.

Image Registration

An optimal hierarchical clustering approach to segmentation of mobile LiDAR point clouds

no code implementations6 Mar 2017 Sheng Xu, Ruisheng Wang, Han Zheng

The main contribution of this paper is that we succeed to optimize the combination of clusters in the hierarchical clustering.

Clustering Point Cloud Segmentation +1

Road Curb Extraction from Mobile LiDAR Point Clouds

no code implementations15 Oct 2016 Sheng Xu, Ruisheng Wang, Han Zheng

Automatic extraction of road curbs from uneven, unorganized, noisy and massive 3D point clouds is a challenging task.

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