Chenghu Zhou | DeepAI

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286 publications
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146 publications
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119 publications
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109 publications
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100 publications
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79 publications
Quanshi Zhang
54 publications
Tao Lin
52 publications
Xinbing Wang
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Cheng Deng
41 publications
Lei Zhou
38 publications

∙ 08/29/2023

Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation

Temporal knowledge graphs, representing the dynamic relationships and in...

0 Yi Xu, et al. ∙

∙ 08/16/2023

Graph Out-of-Distribution Generalization with Controllable Data Augmentation

Graph Neural Network (GNN) has demonstrated extraordinary performance in...

0 Bin Lu, et al. ∙

∙ 06/08/2023

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization

Large language models (LLMs)have achieved great success in general domai...

0 Cheng Deng, et al. ∙

∙ 06/04/2023

Exploring and Verbalizing Academic Ideas by Concept Co-occurrence

Researchers usually come up with new ideas only after thoroughly compreh...

0 Yi Xu, et al. ∙

∙ 05/21/2023

Towards Tracing Code Provenance with Code Watermarking

Recent advances in large language models have raised wide concern in gen...

0 Wei Li, et al. ∙

∙ 05/18/2023

Prediction with Incomplete Data under Agnostic Mask Distribution Shift

Data with missing values is ubiquitous in many applications. Recent year...

0 Yichen Zhu, et al. ∙

∙ 04/14/2023

Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph

The pandemic of COVID-19 has inspired extensive works across different r...

0 Cheng Deng, et al. ∙

∙ 04/02/2023

PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model

In the research of end-to-end dialogue systems, using real-world knowled...

0 Cheng Deng, et al. ∙

∙ 02/19/2023

Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset

Real-world data usually exhibits a long-tailed distribution,with a few f...

0 Jiexing Qi, et al. ∙

∙ 02/03/2023

Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing

Most graph neural networks follow the message passing mechanism. However...

0 Yunchong Song, et al. ∙

∙ 09/27/2022

IdeaReader: A Machine Reading System for Understanding the Idea Flow of Scientific Publications

Understanding the origin and influence of the publication's idea is crit...

0 Qi Li, et al. ∙

∙ 09/04/2022

Disentangled Graph Contrastive Learning for Review-based Recommendation

User review data is helpful in alleviating the data sparsity problem in ...

0 Yuyang Ren, et al. ∙

∙ 05/14/2022

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL

Relational structures such as schema linking and schema encoding have be...

0 Jiexing Qi, et al. ∙

∙ 04/28/2022

FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models

Training deep learning (DL) models has become a norm. With the emergence...

0 Yunzhuo Liu, et al. ∙

∙ 08/07/2021

Scientific X-ray

The rapid development of modern science and technology has spawned rich ...

0 Qi Li, et al. ∙

∙ 06/05/2021

Exploring the Disproportion Between Scientific Productivity and Knowledge Amount

The pursuit of knowledge is the permanent goal of human beings. Scientif...

0 Luoyi Fu, et al. ∙

∙ 02/19/2021

On the Similarity between von Neumann Graph Entropy and Structural Information: Interpretation, Computation, and Applications

The von Neumann graph entropy is a measure of graph complexity based on ...

0 Xuecheng Liu, et al. ∙

∙ 07/21/2017

3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds

Semantic parsing of large-scale 3D point clouds is an important research...

0 Fangyu Liu, et al. ∙

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