Search Results for author: Guoliang Li

Found 38 papers, 17 papers with code

Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation

no code implementations16 Oct 2024 Yuxuan Cheng, Chenxi Shao, Jie Ma, Guoliang Li

Although weak-to-strong consistency is a prevalent method in semi-supervised image segmentation, there is a scarcity of research on perturbation strategies specifically tailored for semi-supervised medical image segmentation tasks.

Image Segmentation Segmentation +2

Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation

1 code implementation5 Sep 2024 Yihang Zheng, Bo Li, Zhenghao Lin, Yi Luo, Xuanhe Zhou, Chen Lin, Jinsong Su, Guoliang Li, Shifu Li

However, there is still a lack of a comprehensive benchmark to evaluate the capabilities of different LLMs and their modular components in database Q&A.

Fairness RAG

HAIChart: Human and AI Paired Visualization System

2 code implementations16 Jun 2024 Yupeng Xie, Yuyu Luo, Guoliang Li, Nan Tang

The growing importance of data visualization in business intelligence and data science emphasizes the need for tools that can efficiently generate meaningful visualizations from large datasets.

Data Visualization

Integrated Sensing and Communication for Edge Inference with End-to-End Multi-View Fusion

no code implementations16 Apr 2024 Xibin Jin, Guoliang Li, Shuai Wang, Miaowen Wen, Chengzhong Xu, H. Vincent Poor

Integrated sensing and communication (ISAC) is a promising solution to accelerate edge inference via the dual use of wireless signals.

LLM-Enhanced Data Management

1 code implementation4 Feb 2024 Xuanhe Zhou, Xinyang Zhao, Guoliang Li

Fortunately, large language models (LLMs) have shown high generalizability and human-competitive abilities in understanding context, which are promising for data management tasks (e. g., database diagnosis, database tuning).

Hallucination Management +1

Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration

1 code implementation7 Dec 2023 Meihao Fan, Xiaoyue Han, Ju Fan, Chengliang Chai, Nan Tang, Guoliang Li, Xiaoyong Du

However, existing ICL approaches to ER typically necessitate providing a task description and a set of demonstrations for each entity pair and thus have limitations on the monetary cost of interfacing LLMs.

Entity Resolution In-Context Learning

D-Bot: Database Diagnosis System using Large Language Models

1 code implementation3 Dec 2023 Xuanhe Zhou, Guoliang Li, Zhaoyan Sun, Zhiyuan Liu, Weize Chen, Jianming Wu, Jiesi Liu, Ruohang Feng, Guoyang Zeng

Database administrators (DBAs) play an important role in managing, maintaining and optimizing database systems.

SkyMath: Technical Report

1 code implementation25 Oct 2023 Liu Yang, Haihua Yang, Wenjun Cheng, Lei Lin, Chenxia Li, Yifu Chen, Lunan Liu, Jianfei Pan, Tianwen Wei, Biye Li, Liang Zhao, Lijie Wang, Bo Zhu, Guoliang Li, Xuejie Wu, Xilin Luo, Rui Hu

Large language models (LLMs) have shown great potential to solve varieties of natural language processing (NLP) tasks, including mathematical reasoning.

GSM8K Language Modelling +2

Integrated Robotics Networks with Co-optimization of Drone Placement and Air-Ground Communications

no code implementations9 Sep 2023 Menghao Hu, Tong Zhang, Shuai Wang, Guoliang Li, Yingyang Chen, Qiang Li, Gaojie Chen

Terrestrial robots, i. e., unmanned ground vehicles (UGVs), and aerial robots, i. e., unmanned aerial vehicles (UAVs), operate in separate spaces.

LLM As DBA

1 code implementation10 Aug 2023 Xuanhe Zhou, Guoliang Li, Zhiyuan Liu

Database administrators (DBAs) play a crucial role in managing, maintaining and optimizing a database system to ensure data availability, performance, and reliability.

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

1 code implementation15 Jun 2023 Zihui Gu, Ju Fan, Nan Tang, Songyue Zhang, Yuxin Zhang, Zui Chen, Lei Cao, Guoliang Li, Sam Madden, Xiaoyong Du

PLMs can perform well in schema alignment but struggle to achieve complex reasoning, while LLMs is superior in complex reasoning tasks but cannot achieve precise schema alignment.

RITA: Group Attention is All You Need for Timeseries Analytics

no code implementations2 Jun 2023 Jiaming Liang, Lei Cao, Samuel Madden, Zachary Ives, Guoliang Li

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

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

no code implementations NeurIPS 2023 Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin C. C. Chang, Fei Huang, Reynold Cheng, Yongbin Li

Our emphasis on database values highlights the new challenges of dirty database contents, external knowledge between NL questions and database contents, and SQL efficiency, particularly in the context of massive databases.

SQL Parsing Text-To-SQL

Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration

1 code implementation SIGMOD/PODS 2023 Jianhong Tu, Ju Fan, Nan Tang, Peng Wang, Guoliang Li, Xiaoyong Du, Xiaofeng Jia, Song Gao

The widely used practice is to build task-specific or even dataset-specific solutions, which are hard to generalize and disable the opportunities of knowledge sharing that can be learned from different datasets and multiple tasks.

Entity Resolution Zero-Shot Learning

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

no code implementations16 Aug 2022 Guoliang Li, Shuai Wang, Kejiang Ye, Miaowen Wen, Derrick Wing Kwan Ng, Marco Di Renzo

Integrated sensing and communication (ISAC) represents a paradigm shift, where previously competing wireless transmissions are jointly designed to operate in harmony via the shared use of the hardware platform for improving the spectral and energy efficiencies.

Stochastic Gradient Descent without Full Data Shuffle

1 code implementation12 Jun 2022 Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang

In this paper, we first conduct a systematic empirical study on existing data shuffling strategies, which reveals that all existing strategies have room for improvement -- they all suffer in terms of I/O performance or convergence rate.

Computational Efficiency

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

no code implementations24 Dec 2021 Yuyu Luo, Jiawei Tang, Guoliang Li

NL2VIS - which translates natural language (NL) queries to corresponding visualizations (VIS) - has attracted more and more attention both in commercial visualization vendors and academic researchers.

Deep Learning

Recurrent multiple shared layers in Depth for Neural Machine Translation

no code implementations23 Aug 2021 Guoliang Li, Yiyang Li

Compared to the deep Transformer(20-layer encoder, 6-layer decoder), our model has similar model performance and infer speed, but our model parameters are 54. 72% of the former.

Decoder Machine Translation +1

Accelerating Edge Intelligence via Integrated Sensing and Communication

no code implementations20 Jul 2021 Tong Zhang, Shuai Wang, Guoliang Li, Fan Liu, Guangxu Zhu, Rui Wang

Conventionally, the sensing and communication stages are executed sequentially, which results in excessive amount of dataset generation and uploading time.

Integrated Sensing and Communication from Learning Perspective: An SDP3 Approach

no code implementations20 Jul 2021 Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Fan Liu, Xiaohui Peng, Tony Xiao Han, Chengzhong Xu

Characterizing the sensing and communication performance tradeoff in integrated sensing and communication (ISAC) systems is challenging in the applications of learning-based human motion recognition.

Residual Tree Aggregation of Layers for Neural Machine Translation

no code implementations19 Jul 2021 Guoliang Li, Yiyang Li

In transformer, it only uses the top layer of encoder and decoder in the subsequent process, which makes it impossible to take advantage of the useful information in other layers.

Decoder Machine Translation +1

Hierarchical Temperature Imaging Using Pseudo-Inversed Convolutional Neural Network Aided TDLAS Tomography

no code implementations5 Jun 2021 Jingjing Si, Guoliang Li, Yinbo Cheng, Rui Zhang, Godwin Enemali, Chang Liu

As an in situ combustion diagnostic tool, Tunable Diode Laser Absorption Spectroscopy (TDLAS) tomography has been widely used for imaging of two-dimensional temperature distributions in reactive flows.

Computational Efficiency Image Reconstruction

Wireless Sensing With Deep Spectrogram Network and Primitive Based Autoregressive Hybrid Channel Model

no code implementations21 Apr 2021 Guoliang Li, Shuai Wang, Jie Li, Rui Wang, Xiaohui Peng, Tony Xiao Han

Although wireless channel models can be adopted for dataset generation, current channel models are mostly designed for communication rather than sensing.

Scene Understanding

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

no code implementations4 Dec 2020 Nan Tang, Ju Fan, Fangyi Li, Jianhong Tu, Xiaoyong Du, Guoliang Li, Sam Madden, Mourad Ouzzani

RPT is pre-trained for a tuple-to-tuple model by corrupting the input tuple and then learning a model to reconstruct the original tuple.

Decoder Denoising +5

Representation Learning from Limited Educational Data with Crowdsourced Labels

1 code implementation23 Sep 2020 Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu

Extensive experiments conducted on three real-world data sets demonstrate the superiority of our framework on learning representations from limited data with crowdsourced labels, comparing with various state-of-the-art baselines.

Face Recognition Machine Translation +1

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

1 code implementation28 Aug 2020 Ju Fan, Tongyu Liu, Guoliang Li, Junyou Chen, Yuwei Shen, Xiaoyong Du

We conduct extensive experiments to explore the design space and compare with traditional data synthesis approaches.

Privacy Preserving

Temporal Network Representation Learning via Historical Neighborhoods Aggregation

1 code implementation30 Mar 2020 Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper

More specifically, we first propose a temporal random walk that can identify relevant nodes in historical neighborhoods which have impact on edge formations.

Link Prediction Network Embedding +1

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

no code implementations4 Nov 2019 Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian

In this paper, we propose a Deep Reinforcement Learning (RL) framework for task arrangement, which is a critical problem for the success of crowdsourcing platforms.

Reinforcement Learning Reinforcement Learning (RL)

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

1 code implementation12 May 2019 Kevin Hu, Neil Gaikwad, Michiel Bakker, Madelon Hulsebos, Emanuel Zgraggen, César Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çağatay Demiralp

Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the effectiveness of visualization designs.

Benchmarking

Crowd-Powered Data Mining

no code implementations13 Jun 2018 Chengliang Chai, Ju Fan, Guoliang Li, Jiannan Wang, Yudian Zheng

Many data mining tasks cannot be completely addressed by auto- mated processes, such as sentiment analysis and image classification.

Clustering General Classification +3

PANDA: Facilitating Usable AI Development

no code implementations26 Apr 2018 Jinyang Gao, Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Guoliang Li, Teck Khim Ng, Beng Chin Ooi, Sheng Wang, Jingren Zhou

In many complex applications such as healthcare, subject matter experts (e. g. Clinicians) are the ones who appreciate the importance of features that affect health, and their knowledge together with existing knowledge bases are critical to the end results.

Autonomous Driving

Cannot find the paper you are looking for? You can Submit a new open access paper.