Search Results for author: Bo Bai

Found 13 papers, 1 papers with code

High Perceptual Quality Wireless Image Delivery with Denoising Diffusion Models

no code implementations27 Sep 2023 Selim F. Yilmaz, Xueyan Niu, Bo Bai, Wei Han, Lei Deng, Deniz Gunduz

We consider the image transmission problem over a noisy wireless channel via deep learning-based joint source-channel coding (DeepJSCC) along with a denoising diffusion probabilistic model (DDPM) at the receiver.


Variations on a Theme by Blahut and Arimoto

no code implementations4 May 2023 Lingyi Chen, Shitong Wu, Wenhao Ye, Huihui Wu, Wenyi Zhang, Hao Wu, Bo Bai

The Blahut-Arimoto (BA) algorithm has played a fundamental role in the numerical computation of rate-distortion (RD) functions.

Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs

no code implementations29 Sep 2022 Meng Qin, Chaorui Zhang, Bo Bai, Gong Zhang, Dit-yan Yeung

The trained model is then directly generalized to new unseen graphs for online CD without additional optimization, where a better trade-off between quality and efficiency can be achieved.

Combinatorial Optimization Community Detection

GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning

no code implementations3 Aug 2022 Benyuan Sun, Jin Dai, Zihao Liang, Congying Liu, Yi Yang, Bo Bai

SIMT lays the foundation of pre-training with large-scale multi-task multi-domain datasets and is proved essential for stable training in our GPPF experiments.

Multi-Task Learning

A Tensor-BTD-based Modulation for Massive Unsourced Random Access

no code implementations5 Dec 2021 Zhenting Luan, Yuchi Wu, Shansuo Liang, Liping Zhang, Wei Han, Bo Bai

In this letter, we propose a novel tensor-based modulation scheme for massive unsourced random access.

Tensor Decomposition

PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization

no code implementations NeurIPS 2021 Benyuan Sun, Hongxing Huo, Yi Yang, Bo Bai

The superiority of our algorithm is proved by demonstrating the new state-of-the-art results on cross-domain federated classification and detection.

medical image detection Personalized Federated Learning +1

Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends

no code implementations5 Nov 2021 Lingying Huang, Xiaomeng Chen, Wei Huo, Jiazheng Wang, Fan Zhang, Bo Bai, Ling Shi

In order to improve the speed of B&B algorithms, learning techniques have been introduced in this algorithm recently.

Variable Selection

Trading Quality for Efficiency of Graph Partitioning: An Inductive Method across Graphs

no code implementations29 Sep 2021 Meng Qin, Chaorui Zhang, Bo Bai, Gong Zhang, Dit-yan Yeung

IGP is also a generic framework that can capture the permutation invariant partitioning ground-truth of historical snapshots in the offline training and tackle the online GP on graphs with non-fixed number of nodes and clusters.

Combinatorial Optimization graph partitioning

A Convergent Semi-Proximal Alternating Direction Method of Multipliers for Recovering Internet Traffics from Link Measurements

no code implementations5 Feb 2021 Zhenyu Ming, Liping Zhang, Hao Wu, Yanwei Xu, Mayank Bakshi, Bo Bai, Gong Zhang

Our model can be divided into a series of subproblems, which only relate to the traffics in a certain individual time interval.

Optimization and Control

Lower Bound on the Optimal Access Bandwidth of ($K+2,K,2$)-MDS Array Code with Degraded Read Friendly

no code implementations4 Feb 2021 Ting-Yi Wu, Yunghsiang S. Han, Zhengrui Li, Bo Bai, Gong Zhang, Liang Chen, Xiang Wu

Accessing the data in the failed disk (degraded read) with low latency is crucial for an erasure-coded storage system.

Information Theory Information Theory

Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation

1 code implementation CVPR 2021 Ze Cui, Jing Wang, Shangyin Gao, Bo Bai, Tiansheng Guo, Yihui Feng

With the development of deep learning techniques, the combination of deep learning with image compression has drawn lots of attention.

Image Compression MS-SSIM +2

GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks

no code implementations26 Jan 2019 Kai Lei, Meng Qin, Bo Bai, Gong Zhang, Min Yang

Different from conventional techniques of temporal link prediction that ignore the potential non-linear characteristics and the informative link weights in the dynamic network, we introduce a novel non-linear model GCN-GAN to tackle the challenging temporal link prediction task of weighted dynamic networks.

Link Prediction

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