Ziao Wang | DeepAI

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Featured Co-authors

Jun Zhu
239 publications
Hang Su
109 publications
Ning Zhang
109 publications
Yichi Zhang
59 publications
Jiantao Jiao
46 publications
Lu Lu
44 publications
Yuhang Li
39 publications
Chi Wang
29 publications
Xiaofeng Zhang
24 publications
Weina Wang
24 publications
Banghua Zhu
19 publications

∙ 09/07/2023

Noisy Computing of the 𝖮𝖱 and 𝖬𝖠𝖷 Functions

We consider the problem of computing a function of n variables using noi...

0 Banghua Zhu, et al. ∙

∙ 08/17/2023

Efficient Algorithms for Attributed Graph Alignment with Vanishing Edge Correlation

Graph alignment refers to the task of finding the vertex correspondence ...

0 Ziao Wang, et al. ∙

∙ 07/31/2023

FinVis-GPT: A Multimodal Large Language Model for Financial Chart Analysis

In this paper, we propose FinVis-GPT, a novel multimodal large language ...

0 Ziao Wang, et al. ∙

∙ 07/31/2023

An Effective Data Creation Pipeline to Generate High-quality Financial Instruction Data for Large Language Model

At the beginning era of large language model, it is quite critical to ge...

0 Ziao Wang, et al. ∙

∙ 06/21/2023

On the Optimal Bounds for Noisy Computing

We revisit the problem of computing with noisy information considered in...

0 Banghua Zhu, et al. ∙

∙ 06/15/2023

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

While significant progress has been made on Physics-Informed Neural Netw...

1 Zhongkai Hao, et al. ∙

∙ 02/03/2022

Noisy Sorting Capacity

Sorting is the task of ordering n elements using pairwise comparisons. I...

0 Ziao Wang, et al. ∙

∙ 01/25/2022

On the Feasible Region of Efficient Algorithms for Attributed Graph Alignment

Graph alignment aims at finding the vertex correspondence between two co...

0 Ziao Wang, et al. ∙

∙ 04/13/2021

Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning

Graph representation learning has long been an important yet challenging...

0 Shiyi Chen, et al. ∙

∙ 10/23/2020

Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation

Automatically generating financial report from a piece of news is quite ...

0 Yunpeng Ren, et al. ∙

∙ 06/04/2020

Universal Graph Compression: Stochastic Block Models

Motivated by the prevalent data science applications of processing and m...

0 Alankrita Bhatt, et al. ∙

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