Search Results for author: Shuo Zhang

Found 87 papers, 43 papers with code

XInfoTabS: Evaluating Multilingual Tabular Natural Language Inference

no code implementations FEVER (ACL) 2022 Bhavnick Minhas, Anant Shankhdhar, Vivek Gupta, Divyanshu Aggarwal, Shuo Zhang

In this paper, we use machine translation methods to construct a multilingual tabular NLI dataset, namely XINFOTABS, which expands the English tabular NLI dataset of INFOTABS to ten diverse languages.

Machine Translation Natural Language Inference +1

Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning

no code implementations ACL 2022 Vivek Gupta, Shuo Zhang, Alakananda Vempala, Yujie He, Temma Choji, Vivek Srikumar

On the downstream tabular inference task, using only the automatically extracted evidence as the premise, our approach outperforms prior benchmarks.

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering

no code implementations21 Jun 2024 Zhengliang Shi, Shuo Zhang, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren

Multi-Hop Question Answering (MHQA) tasks present a significant challenge for large language models (LLMs) due to the intensive knowledge required.

Enhancing Question Answering on Charts Through Effective Pre-training Tasks

no code implementations14 Jun 2024 Ashim Gupta, Vivek Gupta, Shuo Zhang, Yujie He, Ning Zhang, Shalin Shah

To address these issues, we propose three simple pre-training tasks that enforce the existing model in terms of both structural-visual knowledge, as well as its understanding of numerical questions.

document understanding Optical Character Recognition (OCR) +1

L-PR: Exploiting LiDAR Fiducial Marker for Unordered Low Overlap Multiview Point Cloud Registration

1 code implementation5 Jun 2024 Yibo Liu, Jinjun Shan, Amaldev Haridevan, Shuo Zhang, Kejian Lin

Then, we formulate the unordered multiview point cloud registration problem as a maximum a-posteriori (MAP) problem and develop a framework consisting of two levels of graphs to address it.

Point Cloud Registration

Exploring the Capabilities of Large Multimodal Models on Dense Text

1 code implementation9 May 2024 Shuo Zhang, Biao Yang, Zhang Li, Zhiyin Ma, Yuliang Liu, Xiang Bai

To further explore the capabilities of LMM in complex text tasks, we propose the DT-VQA dataset, with 170k question-answer pairs.

Prompt Engineering Visual Question Answering (VQA)

BCFPL: Binary classification ConvNet based Fast Parking space recognition with Low resolution image

no code implementations22 Apr 2024 Shuo Zhang, Xin Chen, Zixuan Wang

The automobile plays an important role in the economic activities of mankind, especially in the metropolis.

Binary Classification

Representation Learning of Tangled Key-Value Sequence Data for Early Classification

1 code implementation11 Apr 2024 Tao Duan, Junzhou Zhao, Shuo Zhang, Jing Tao, Pinghui Wang

To address this problem, we propose a novel method, i. e., Key-Value sequence Early Co-classification (KVEC), which leverages both inner- and inter-correlations of items in a tangled key-value sequence through key correlation and value correlation to learn a better sequence representation.

Early Classification Representation Learning

InternLM2 Technical Report

2 code implementations26 Mar 2024 Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, Xiaoyi Dong, Haodong Duan, Qi Fan, Zhaoye Fei, Yang Gao, Jiaye Ge, Chenya Gu, Yuzhe Gu, Tao Gui, Aijia Guo, Qipeng Guo, Conghui He, Yingfan Hu, Ting Huang, Tao Jiang, Penglong Jiao, Zhenjiang Jin, Zhikai Lei, Jiaxing Li, Jingwen Li, Linyang Li, Shuaibin Li, Wei Li, Yining Li, Hongwei Liu, Jiangning Liu, Jiawei Hong, Kaiwen Liu, Kuikun Liu, Xiaoran Liu, Chengqi Lv, Haijun Lv, Kai Lv, Li Ma, Runyuan Ma, Zerun Ma, Wenchang Ning, Linke Ouyang, Jiantao Qiu, Yuan Qu, FuKai Shang, Yunfan Shao, Demin Song, Zifan Song, Zhihao Sui, Peng Sun, Yu Sun, Huanze Tang, Bin Wang, Guoteng Wang, Jiaqi Wang, Jiayu Wang, Rui Wang, Yudong Wang, Ziyi Wang, Xingjian Wei, Qizhen Weng, Fan Wu, Yingtong Xiong, Chao Xu, Ruiliang Xu, Hang Yan, Yirong Yan, Xiaogui Yang, Haochen Ye, Huaiyuan Ying, JIA YU, Jing Yu, Yuhang Zang, Chuyu Zhang, Li Zhang, Pan Zhang, Peng Zhang, Ruijie Zhang, Shuo Zhang, Songyang Zhang, Wenjian Zhang, Wenwei Zhang, Xingcheng Zhang, Xinyue Zhang, Hui Zhao, Qian Zhao, Xiaomeng Zhao, Fengzhe Zhou, Zaida Zhou, Jingming Zhuo, Yicheng Zou, Xipeng Qiu, Yu Qiao, Dahua Lin

The evolution of Large Language Models (LLMs) like ChatGPT and GPT-4 has sparked discussions on the advent of Artificial General Intelligence (AGI).

4k Long-Context Understanding

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

1 code implementation9 Feb 2024 Huaiyuan Ying, Shuo Zhang, Linyang Li, Zhejian Zhou, Yunfan Shao, Zhaoye Fei, Yichuan Ma, Jiawei Hong, Kuikun Liu, Ziyi Wang, Yudong Wang, Zijian Wu, Shuaibin Li, Fengzhe Zhou, Hongwei Liu, Songyang Zhang, Wenwei Zhang, Hang Yan, Xipeng Qiu, Jiayu Wang, Kai Chen, Dahua Lin

We further explore how to use LEAN to solve math problems and study its performance under the setting of multi-task learning which shows the possibility of using LEAN as a unified platform for solving and proving in math.

Data Augmentation GSM8K +3

Protein Language Model-Powered 3D Ligand Binding Site Prediction from Protein Sequence

no code implementations5 Dec 2023 Shuo Zhang, Lei Xie

Then we compute and update the protein-ligand interaction embedding based on the protein residue-level embeddings and ligand atom-level embeddings, and the geometric constraints in the inferred protein contact map and ligand distance map.

Drug Discovery Graph Neural Network +1

CoLLiE: Collaborative Training of Large Language Models in an Efficient Way

1 code implementation1 Dec 2023 Kai Lv, Shuo Zhang, Tianle Gu, Shuhao Xing, Jiawei Hong, Keyu Chen, Xiaoran Liu, Yuqing Yang, Honglin Guo, Tengxiao Liu, Yu Sun, Qipeng Guo, Hang Yan, Xipeng Qiu

This paper introduces CoLLiE, an efficient library that facilitates collaborative training of large language models using 3D parallelism, parameter-efficient fine-tuning (PEFT) methods, and optimizers such as Lion, Adan, Sophia, LOMO and AdaLomo.

A Universal Framework for Accurate and Efficient Geometric Deep Learning of Molecular Systems

1 code implementation Scientific Reports 2023 Shuo Zhang, Yang Liu, Lei Xie

Molecular sciences address a wide range of problems involving molecules of different types and sizes and their complexes.

TempTabQA: Temporal Question Answering for Semi-Structured Tables

no code implementations14 Nov 2023 Vivek Gupta, Pranshu Kandoi, Mahek Bhavesh Vora, Shuo Zhang, Yujie He, Ridho Reinanda, Vivek Srikumar

Given these results, our dataset has the potential to serve as a challenging benchmark to improve the temporal reasoning capabilities of NLP models.

Question Answering

Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models

1 code implementation CVPR 2024 Zhang Li, Biao Yang, Qiang Liu, Zhiyin Ma, Shuo Zhang, Jingxu Yang, Yabo Sun, Yuliang Liu, Xiang Bai

Additionally, experiments on 18 datasets further demonstrate that Monkey surpasses existing LMMs in many tasks like Image Captioning and various Visual Question Answering formats.

Image Captioning Question Answering +2

Scaling Laws of RoPE-based Extrapolation

1 code implementation8 Oct 2023 Xiaoran Liu, Hang Yan, Shuo Zhang, Chenxin An, Xipeng Qiu, Dahua Lin

The extrapolation capability of Large Language Models (LLMs) based on Rotary Position Embedding is currently a topic of considerable interest.


RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue

no code implementations15 Sep 2023 Zhengliang Shi, Weiwei Sun, Shuo Zhang, Zhen Zhang, Pengjie Ren, Zhaochun Ren

To this end, we propose the Reference-Assisted Dialogue Evaluation (RADE) approach under the multi-task learning framework, which leverages the pre-created utterance as reference other than the gold response to relief the one-to-many problem.

Dialogue Evaluation Multi-Task Learning +1

Enhancing Adversarial Attacks: The Similar Target Method

1 code implementation21 Aug 2023 Shuo Zhang, Ziruo Wang, Zikai Zhou, Huanran Chen

Deep neural networks are vulnerable to adversarial examples, posing a threat to the models' applications and raising security concerns.

Adversarial Attack

Learning Universal and Robust 3D Molecular Representations with Graph Convolutional Networks

no code implementations24 Jul 2023 Shuo Zhang, Yang Liu, Li Xie, Lei Xie

To combine the DNP descriptor and chemical features in molecules, we construct the Robust Molecular Graph Convolutional Network (RoM-GCN) which is capable to take both node and edge features into consideration when generating molecule representations.

InfoSync: Information Synchronization across Multilingual Semi-structured Tables

no code implementations6 Jul 2023 Siddharth Khincha, Chelsi Jain, Vivek Gupta, Tushar Kataria, Shuo Zhang

The proposed method includes 1) Information Alignment to map rows and 2) Information Update for updating missing/outdated information for aligned tables across multilingual tables.

Towards Explainable Conversational Recommender Systems

1 code implementation27 May 2023 Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren

To achieve this, we conduct manual and automatic approaches to extend these dialogues and construct a new CRS dataset, namely Explainable Recommendation Dialogues (E-ReDial).

Explainable Recommendation Explanation Generation +2

MERGE: Fast Private Text Generation

1 code implementation25 May 2023 Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Lifeng Xing, Shuo Zhang

The drastic increase in language models' parameters has led to a new trend of deploying models in cloud servers, raising growing concerns about private inference for Transformer-based models.

Code Completion Natural Language Understanding +2

Healing Unsafe Dialogue Responses with Weak Supervision Signals

1 code implementation25 May 2023 Zi Liang, Pinghui Wang, Ruofei Zhang, Shuo Zhang, Xiaofan Ye Yi Huang, Junlan Feng

Recent years have seen increasing concerns about the unsafe response generation of large-scale dialogue systems, where agents will learn offensive or biased behaviors from the real-world corpus.

Pseudo Label Response Generation

View Adaptive Light Field Deblurring Networks with Depth Perception

no code implementations13 Mar 2023 Zeqi Shen, Shuo Zhang, Zhuhao Zhang, Qihua Chen, Xueyao Dong, Youfang Lin

On the other hand, because the blur degree also varies with the depth of the object, a depth perception view attention is designed to deblur different depth areas by selectively integrating information from different views.

Deblurring Image Deblurring

Multi-Action Dialog Policy Learning from Logged User Feedback

no code implementations27 Feb 2023 Shuo Zhang, Junzhou Zhao, Pinghui Wang, Tianxiang Wang, Zi Liang, Jing Tao, Yi Huang, Junlan Feng

To cope with this problem, we explore to improve multi-action dialog policy learning with explicit and implicit turn-level user feedback received for historical predictions (i. e., logged user feedback) that are cost-efficient to collect and faithful to real-world scenarios.

MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation

no code implementations27 Feb 2023 Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu

We leverage the masked patches selection strategy to choose masked patches with lesions to obtain more lesion representation information, and the adaptive masking strategy is utilized to help learn more mutual information and improve performance further.

Contrastive Learning Image Segmentation +4

Semantic Segmentation Enhanced Transformer Model for Human Attention Prediction

no code implementations26 Jan 2023 Shuo Zhang

We find in practice simply adding the subtask might confuse the main task learning, hence Multi-task Attention Module is proposed to deal with the feature interaction between the multiple learning targets.

Decoder Saliency Prediction +1

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation

no code implementations12 Jan 2023 Yushan Qian, Bo wang, Shangzhao Ma, Wu Bin, Shuo Zhang, Dongming Zhao, Kun Huang, Yuexian Hou

Towards human-like dialogue systems, current emotional dialogue approaches jointly model emotion and semantics with a unified neural network.

Response Generation

Physics-aware Graph Neural Network for Accurate RNA 3D Structure Prediction

1 code implementation28 Oct 2022 Shuo Zhang, Yang Liu, Lei Xie

In this work, we propose a Graph Neural Network (GNN)-based scoring function trained only with the atomic types and coordinates on limited solved RNA 3D structures for distinguishing accurate structural models.

Drug Discovery Graph Neural Network +1

Realistic Data Augmentation Framework for Enhancing Tabular Reasoning

no code implementations23 Oct 2022 Dibyakanti Kumar, Vivek Gupta, Soumya Sharma, Shuo Zhang

We observed that our framework could generate human-like tabular inference examples, which could benefit training data augmentation, especially in the scenario with limited supervision.

counterfactual Data Augmentation +1

Enhancing Tabular Reasoning with Pattern Exploiting Training

no code implementations21 Oct 2022 Abhilash Reddy Shankarampeta, Vivek Gupta, Shuo Zhang

Recent methods based on pre-trained language models have exhibited superior performance over tabular tasks (e. g., tabular NLI), despite showing inherent problems such as not using the right evidence and inconsistent predictions across inputs while reasoning over the tabular data.

Active Learning on a Programmable Photonic Quantum Processor

no code implementations3 Aug 2022 Chen Ding, Xiao-Yue Xu, Yun-Fei Niu, Shuo Zhang, Wan-su Bao, He-Liang Huang

Here, we design and implement two AL-enpowered variational quantum classifiers, to investigate the potential applications and effectiveness of AL in quantum machine learning.

Active Learning BIG-bench Machine Learning +1

Parameter-Parallel Distributed Variational Quantum Algorithm

no code implementations31 Jul 2022 Yun-Fei Niu, Shuo Zhang, Chen Ding, Wan-su Bao, He-Liang Huang

Variational quantum algorithms (VQAs) have emerged as a promising near-term technique to explore practical quantum advantage on noisy intermediate-scale quantum (NISQ) devices.

Visual Question Answering (VQA)

PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training

1 code implementation24 Jul 2022 Zihang Xu, Zhenghua Xu, Shuo Zhang, Thomas Lukasiewicz

Unlike most existing semi-supervised learning methods, adversarial training based methods distinguish samples from different sources by learning the data distribution of the segmentation map, leading the segmenter to generate more accurate predictions.

Brain Tumor Segmentation Image Segmentation +2

Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for 3D Small Molecules and Macromolecule Complexes

1 code implementation6 Jun 2022 Shuo Zhang, Yang Liu, Lei Xie

On small molecule dataset for predicting quantum chemical properties, PaxNet reduces the prediction error by 15% and uses 73% less memory than the best baseline.

Graph Neural Network Molecular Property Prediction +1

Light Field Raindrop Removal via 4D Re-sampling

no code implementations26 May 2022 Dong Jing, Shuo Zhang, Song Chang, Youfang Lin

In this paper, we propose a novel LFRR network by directly utilizing the complementary pixel information of raindrop-free areas in the input raindrop LF, which consists of the re-sampling module and the refinement module.

Rain Removal

"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs

1 code implementation25 Apr 2022 Shuo Zhang, Junzhou Zhao, Pinghui Wang, Yu Li, Yi Huang, Junlan Feng

Multi-action dialog policy (MADP), which generates multiple atomic dialog actions per turn, has been widely applied in task-oriented dialog systems to provide expressive and efficient system responses.

Multi-Task Learning

Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems

2 code implementations2 Apr 2022 Weiwei Sun, Shuyu Guo, Shuo Zhang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren

Employing existing user simulators to evaluate TDSs is challenging as user simulators are primarily designed to optimize dialogue policies for TDSs and have limited evaluation capabilities.

Task-Oriented Dialogue Systems

StruBERT: Structure-aware BERT for Table Search and Matching

1 code implementation27 Mar 2022 Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison, Jeff Heflin

In this paper, we propose StruBERT, a structure-aware BERT model that fuses the textual and structural information of a data table to produce context-aware representations for both textual and tabular content of a data table.

Table Retrieval Table Search

DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature Extraction

1 code implementation8 Mar 2022 Jiajun Fei, Ziyu Zhu, Wenlei Liu, Zhidong Deng, Mingyang Li, Huanjun Deng, Shuo Zhang

We strictly prove that any permutation-invariant function implemented by DuMLP-Pin can be decomposed into two or more permutation-equivariant ones in a dot-product way as the cardinality of the given input set is greater than a threshold.

Attribute Point Cloud Classification

POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence

no code implementations5 Nov 2021 Rahul Mishra, Shuo Zhang

Automatic detection of click-bait and incongruent news headlines is crucial to maintaining the reliability of the Web and has raised much research attention.


TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

1 code implementation ACL 2021 Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua

In this work, we extract samples from real financial reports to build a new large-scale QA dataset containing both Tabular And Textual data, named TAT-QA, where numerical reasoning is usually required to infer the answer, such as addition, subtraction, multiplication, division, counting, comparison/sorting, and the compositions.

Question Answering

Semantic Table Retrieval using Keyword and Table Queries

1 code implementation13 May 2021 Shuo Zhang, Krisztian Balog

The main novel contribution of this work is a semantic table retrieval framework for matching information needs (keyword or table queries) against tables.

Table Retrieval

Domain-Specific Suppression for Adaptive Object Detection

no code implementations CVPR 2021 Yu Wang, Rui Zhang, Shuo Zhang, Miao Li, Yangyang Xia, Xishan Zhang, Shaoli Liu

The directions of weights, and the gradients, can be divided into domain-specific and domain-invariant parts, and the goal of domain adaptation is to concentrate on the domain-invariant direction while eliminating the disturbance from domain-specific one.

Domain Adaptation Object +2

WTR: A Test Collection for Web Table Retrieval

1 code implementation5 May 2021 Zhiyu Chen, Shuo Zhang, Brian D. Davison

We describe the development, characteristics and availability of a test collection for the task of Web table retrieval, which uses a large-scale Web Table Corpora extracted from the Common Crawl.

Table Retrieval

A simple low-degree optimal finite element scheme for the elastic transmission eigenvalue problem

no code implementations26 Jan 2021 Yingxia Xi, Xia Ji, Shuo Zhang

The paper presents a finite element scheme for the elastic transmission eigenvalue problem written as a fourth order eigenvalue problem.

Numerical Analysis Numerical Analysis 31A30, 65N30, 47B07

Learning to Check Contract Inconsistencies

1 code implementation15 Dec 2020 Shuo Zhang, Junzhou Zhao, Pinghui Wang, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, Junlan Feng

This will result in the issue of contract inconsistencies, which may severely impair the legal validity of the contract.

Multi-RIS Aided 3D Secure Precise Wireless Transmission

no code implementations23 Nov 2020 Tong Shen, Wenlong Cai, Yan Lin, Shuo Zhang, Jinyong Lin, Feng Shu, Jiangzhou Wang

Then, multiple RISs are utilized to achieve SPWT through the reflection path among transmitter, RISs and receivers in order to enhance the communication performance and energy efficiency simultaneously.

Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures

2 code implementations15 Nov 2020 Shuo Zhang, Yang Liu, Lei Xie

The prediction of physicochemical properties from molecular structures is a crucial task for artificial intelligence aided molecular design.

Drug Discovery Formation Energy +1

PSF-LO: Parameterized Semantic Features Based Lidar Odometry

no code implementations26 Oct 2020 Guibin Chen, BoSheng Wang, Xiaoliang Wang, Huanjun Deng, Bing Wang, Shuo Zhang

Lidar odometry (LO) is a key technology in numerous reliable and accurate localization and mapping systems of autonomous driving.

Autonomous Driving Motion Estimation +1

IAI MovieBot: A Conversational Movie Recommender System

2 code implementations8 Sep 2020 Javeria Habib, Shuo Zhang, Krisztian Balog

Conversational recommender systems support users in accomplishing recommendation-related goals via multi-turn conversations.

Recommendation Systems

Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic Filters

1 code implementation26 Aug 2020 Qingyan Sun, Shuo Zhang, Song Chang, Lixi Zhu, Youfang Lin

Light field cameras have been proved to be powerful tools for 3D reconstruction and virtual reality applications.

3D Reconstruction Super-Resolution

Generating Categories for Sets of Entities

no code implementations19 Aug 2020 Shuo Zhang, Krisztian Balog, Jamie Callan

Category systems are central components of knowledge bases, as they provide a hierarchical grouping of semantically related concepts and entities.

Abstractive Text Summarization Specificity

On the Secrecy of UAV Systems With Linear Trajectory

no code implementations21 Jun 2020 Gaofeng Pan, Hongjiang Lei, Jianping An, Shuo Zhang, Mohamed-Slim Alouini

By observing the fact that moving in a straight line is a common flying behavior of unmanned aerial vehicles (UAVs) in normal applications, e. g., power line inspections, and air patrols along with highway/streets/borders, in this paper we investigate the secrecy outage performance of a UAV system with linear trajectory, where a UAV ($S$) flies in a straight line and transmits its information over the downlink to a legitimate receiver ($D$) on the ground while an eavesdropping UAV ($E$) trying to overhear the information delivery between $S$ and $D$.

3D Lidar Mapping Relative Accuracy Automatic Evaluation Algorithm

no code implementations1 Jun 2020 Guibin Chen, Jiong Deng, Dongze Huang, Shuo Zhang

HD (High Definition) map based on 3D lidar plays a vital role in autonomous vehicle localization, planning, decision-making, perception, etc.

Decision Making Simultaneous Localization and Mapping

Summarizing and Exploring Tabular Data in Conversational Search

1 code implementation23 May 2020 Shuo Zhang, Zhuyun Dai, Krisztian Balog, Jamie Callan

We propose to generate natural language summaries as answers to describe the complex information contained in a table.

Conversational Search

Novel Entity Discovery from Web Tables

1 code implementation1 Feb 2020 Shuo Zhang, Edgar Meij, Krisztian Balog, Ridho Reinanda

We refer to this process as novel entity discovery and, to the best of our knowledge, it is the first endeavor on mining the unlinked cells in web tables.

Auto-completion for Data Cells in Relational Tables

1 code implementation8 Sep 2019 Shuo Zhang, Krisztian Balog

We address the task of auto-completing data cells in relational tables.

Quantum-enhanced least-square support vector machine: simplified quantum algorithm and sparse solutions

no code implementations5 Aug 2019 Jie Lin, Dan-Bo Zhang, Shuo Zhang, Xiang Wang, Tan Li, Wan-su Bao

We also incorporate kernel methods into the above quantum algorithms, which uses both exponential growth Hilbert space of qubits and infinite dimensionality of continuous variable for quantum feature maps.

BIG-bench Machine Learning

Recommending Related Tables

no code implementations8 Jul 2019 Shuo Zhang, Krisztian Balog

Tables are an extremely powerful visual and interactive tool for structuring and manipulating data, making spreadsheet programs one of the most popular computer applications.

Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation

1 code implementation4 Jul 2019 Shuo Zhang, Lei Xie

To improve the performance of attention-based GNNs, we propose cardinality preserved attention (CPA) models that can be applied to any kind of attention mechanisms.

Graph Classification Graph Representation Learning +1

Data mining Mandarin tone contour shapes

no code implementations WS 2019 Shuo Zhang

In spontaneous speech, Mandarin tones that belong to the same tone category may exhibit many different contour shapes.

Residual Networks for Light Field Image Super-Resolution

no code implementations CVPR 2019 Shuo Zhang, Youfang Lin, Hao Sheng

Light field cameras are considered to have many potential applications since angular and spatial information is captured simultaneously.

Image Super-Resolution

A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation

no code implementations1 Aug 2018 Yao Sun, Yang Deng, Yue Xu, Shuo Zhang, Mingwang Zhu, Kehong Yuan

Magnetic Resonance Imaging (MRI) is widely used in the pathological and functional studies of the brain, such as epilepsy, tumor diagnosis, etc.

Image Retrieval Retrieval +1

DASN:Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation

no code implementations23 Jul 2018 Yang Deng, Yao Sun, Yongpei Zhu, Shuo Zhang, Mingwang Zhu, Kehong Yuan

It is on the basis of this, we propose a judgement to distinguish data sets that different models are good at.


Ad Hoc Table Retrieval using Semantic Similarity

2 code implementations16 Feb 2018 Shuo Zhang, Krisztian Balog

Specifically, we (i) represent queries and tables in multiple semantic spaces (both discrete sparse and continuous dense vector representations) and (ii) introduce various similarity measures for matching those semantic representations.

Semantic Similarity Semantic Textual Similarity +1

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