research
∙
09/07/2023
Noisy Computing of the 𝖮𝖱 and 𝖬𝖠𝖷 Functions
We consider the problem of computing a function of n variables using noi...
share
research
∙
08/17/2023
Efficient Algorithms for Attributed Graph Alignment with Vanishing Edge Correlation
Graph alignment refers to the task of finding the vertex correspondence ...
research
∙
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 ...
research
∙
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...
research
∙
06/21/2023
On the Optimal Bounds for Noisy Computing
We revisit the problem of computing with noisy information considered in...
research
∙
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...
research
∙
02/03/2022
Noisy Sorting Capacity
Sorting is the task of ordering n elements using pairwise comparisons. I...
research
∙
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...
research
∙
04/13/2021
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning
Graph representation learning has long been an important yet challenging...
research
∙
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 ...
research
∙
06/04/2020