Jing Bai | DeepAI

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242 publications
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Huaping Liu
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∙ 08/24/2023

Understanding Container-based Services under Software Aging: Dependability and Performance Views

Container technology, as the key enabler behind microservice architectur...

0 Jing Bai, et al. ∙

∙ 08/24/2023

Towards Semi-Markov Model-based Dependability Evaluation of VM-based Multi-Domain Service Function Chain

In NFV networks, service functions (SFs) can be deployed on virtual mach...

0 Lina Liu, et al. ∙

∙ 06/16/2023

Parameter-efficient is not sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions

Pre-training fine-tuning is a prevalent paradigm in computer vision ...

0 Dongshuo Yin, et al. ∙

∙ 06/13/2023

Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs

Temporal Graph Learning, which aims to model the time-evolving nature of...

0 Haozhen Zhang, et al. ∙

∙ 04/19/2023

AdapterGNN: Efficient Delta Tuning Improves Generalization Ability in Graph Neural Networks

Fine-tuning pre-trained models has recently yielded remarkable performan...

0 Shengrui Li, et al. ∙

∙ 01/26/2022

An Automated Question-Answering Framework Based on Evolution Algorithm

Building a deep learning model for a Question-Answering (QA) task requir...

0 Sinan Tan, et al. ∙

∙ 01/02/2022

Decoding Nonbinary LDPC Codes via Proximal-ADMM Approach (include convergence proofs)

In this paper, we focus on decoding nonbinary low-density parity-check (...

0 Yongchao Wang, et al. ∙

∙ 10/07/2021

Creating Training Sets via Weak Indirect Supervision

Creating labeled training sets has become one of the major roadblocks in...

9 Jieyu Zhang, et al. ∙

∙ 10/03/2021

Graph Pointer Neural Networks

Graph Neural Networks (GNNs) have shown advantages in various graph-base...

0 Tianmeng Yang, et al. ∙

∙ 09/05/2021

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation

To alleviate data sparsity and cold-start problems of traditional recomm...

13 Yankai Chen, et al. ∙

∙ 07/19/2021

Adaptive Transfer Learning on Graph Neural Networks

Graph neural networks (GNNs) is widely used to learn a powerful represen...

16 Xueting Han, et al. ∙

∙ 03/13/2021

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Multivariate time-series forecasting plays a crucial role in many real-w...

0 Defu Cao, et al. ∙

∙ 03/07/2021

Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees

Pre-trained language models like BERT achieve superior performances in v...

0 Jiangang Bai, et al. ∙

∙ 10/19/2020

Proximal-ADMM Decoder for Nonbinary LDPC Codes

In this paper, we develop an efficient decoder via the proximal alternat...

0 Yongchao Wang, et al. ∙

∙ 10/14/2020

AutoADR: Automatic Model Design for Ad Relevance

Large-scale pre-trained models have attracted extensive attention in the...

4 Yiren Chen, et al. ∙

∙ 09/04/2020

Multivariate Time-series Anomaly Detection via Graph Attention Network

Anomaly detection on multivariate time-series is of great importance in ...

43 Hang Zhao, et al. ∙

∙ 04/08/2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

BERT is a cutting-edge language representation model pre-trained by a la...

0 Yihuan Mao, et al. ∙

∙ 04/08/2020

Improving BERT with Self-Supervised Attention

One of the most popular paradigms of applying large, pre-trained NLP mod...

0 Xiaoyu Kou, et al. ∙

∙ 12/23/2019

TextNAS: A Neural Architecture Search Space tailored for Text Representation

Learning text representation is crucial for text classification and othe...

0 Yujing Wang, et al. ∙

∙ 11/21/2019

Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application

The graph is a natural representation of data in a variety of real-world...

0 Bitan Hou, et al. ∙

∙ 10/28/2019

Efficient QP-ADMM Decoder for Binary LDPC Codes and Its Performance Analysis

This paper presents an efficient quadratic programming (QP) decoder via ...

0 Jing Bai, et al. ∙

∙ 01/23/2019

Minimum-Polytope-Based Linear Programming Decoder for LDPC Codes via ADMM Approach

In this letter, we develop an efficient linear programming (LP) decoding...

0 Jing Bai, et al. ∙

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