Guoliang Li | DeepAI

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Wei Wang
492 publications
Yang Wang
233 publications
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209 publications
Derrick Wing Kwan Ng
170 publications
Shuai Wang
157 publications
Ji Liu
135 publications
Ce Zhang
133 publications
Lei Chen
128 publications
Marco Di Renzo
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Jiliang Tang
103 publications
Jieping Ye
93 publications

∙ 08/10/2023

LLM As DBA

Database administrators (DBAs) play a crucial role in managing, maintain...

0 Xuanhe Zhou, et al. ∙

∙ 06/15/2023

Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation

Zero-shot NL2SQL is crucial in achieving natural language to SQL that is...

0 Zihui Gu, et al. ∙

∙ 06/02/2023

RITA: Group Attention is All You Need for Timeseries Analytics

Timeseries analytics is of great importance in many real-world applicati...

0 Jiaming Liang, et al. ∙

∙ 06/02/2023

From Large Language Models to Databases and Back: A discussion on research and education

This discussion was conducted at a recent panel at the 28th Internationa...

0 Sihem Amer-Yahia, et al. ∙

∙ 05/23/2023

iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation Learning

Autonomous parking (AP) is an emering technique to navigate an intellige...

0 Lexiong Huang, et al. ∙

∙ 04/19/2023

GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database

Multinational enterprises conduct global business that has a demand for ...

0 Weixing Zhou, et al. ∙

∙ 08/16/2022

Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection

Integrated sensing and communication (ISAC) represents a paradigm shift,...

0 Guoliang Li, et al. ∙

∙ 06/12/2022

Stochastic Gradient Descent without Full Data Shuffle

Stochastic gradient descent (SGD) is the cornerstone of modern machine l...

39 Lijie Xu, et al. ∙

∙ 12/24/2021

nvBench: A Large-Scale Synthesized Dataset for Cross-Domain Natural Language to Visualization Task

NL2VIS - which translates natural language (NL) queries to corresponding...

0 Yuyu Luo, et al. ∙

∙ 08/23/2021

Recurrent multiple shared layers in Depth for Neural Machine Translation

Learning deeper models is usually a simple and effective approach to imp...

0 Guoliang Li, et al. ∙

∙ 07/19/2021

Residual Tree Aggregation of Layers for Neural Machine Translation

Although attention-based Neural Machine Translation has achieved remarka...

0 Guoliang Li, et al. ∙

∙ 12/04/2020

RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation

Can AI help automate human-easy but computer-hard data preparation tasks...

0 Nan Tang, et al. ∙

∙ 09/23/2020

Representation Learning from Limited Educational Data with Crowdsourced Labels

Representation learning has been proven to play an important role in the...

1 Wentao Wang, et al. ∙

∙ 08/28/2020

Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration

The proliferation of big data has brought an urgent demand for privacy-p...

0 Ju Fan, et al. ∙

∙ 05/16/2020

Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms

Asking questions is one of the most crucial pedagogical techniques used ...

0 Gale Yan Huang, et al. ∙

∙ 03/30/2020

Temporal Network Representation Learning via Historical Neighborhoods Aggregation

Network embedding is an effective method to learn low-dimensional repres...

0 Shixun Huang, et al. ∙

∙ 12/06/2019

Towards Interpretable and Learnable Risk Analysis for Entity Resolution

Machine-learning-based entity resolution has been widely studied. Howeve...

0 Zhaoqiang Chen, et al. ∙

∙ 11/04/2019

An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms

In this paper, we propose a Deep Reinforcement Learning (RL) framework f...

22 Caihua Shan, et al. ∙

∙ 06/15/2019

Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation

An end-to-end data integration system requires human feedback in several...

0 Ji Sun, et al. ∙

∙ 06/06/2019

An End-to-End Learning-based Cost Estimator

Cost and cardinality estimation is vital to query optimizer, which can g...

0 Ji Sun, et al. ∙

∙ 05/12/2019

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

Researchers currently rely on ad hoc datasets to train automated visuali...

0 Kevin Hu, et al. ∙

∙ 06/13/2018

Crowd-Powered Data Mining

Many data mining tasks cannot be completely addressed by automated proce...

0 Chengliang Chai, et al. ∙

∙ 04/26/2018

PANDA: Facilitating Usable AI Development

Recent advances in artificial intelligence (AI) and machine learning hav...

0 Jinyang Gao, et al. ∙

∙ 02/06/2018

Trajectory-driven Influential Billboard Placement

In this paper we propose and study the problem of trajectory-driven infl...

0 Ping Zhang, et al. ∙

∙ 08/07/2017

T-Crowd: Effective Crowdsourcing for Tabular Data

Crowdsourcing employs human workers to solve computer-hard problems, suc...

0 Caihua Shan, et al. ∙

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