b'Yixin Liu'

research

∙ 09/20/2023

Towards Data-centric Graph Machine Learning: Review and Outlook

Data-centric AI, with its primary focus on the collection, management, a...

0 Xin Zheng, et al. ∙

research

∙ 09/16/2023

ODSum: New Benchmarks for Open Domain Multi-Document Summarization

Open-domain Multi-Document Summarization (ODMDS) is a critical tool for ...

0 Yijie Zhou, et al. ∙

research

∙ 06/09/2023

Everybody Compose: Deep Beats To Music

This project presents a deep learning approach to generate monophonic me...

0 Conghao Shen, et al. ∙

research

∙ 05/23/2023

QTSumm: A New Benchmark for Query-Focused Table Summarization

People primarily consult tables to conduct data analysis or answer speci...

16 Yilun Zhao, et al. ∙

research

∙ 05/23/2023

On Learning to Summarize with Large Language Models as References

Recent studies have found that summaries generated by large language mod...

0 Yixin Liu, et al. ∙

research

∙ 05/22/2023

Watermarking Text Data on Large Language Models for Dataset Copyright Protection

Large Language Models (LLMs), such as BERT and GPT-based models like Cha...

0 Yixin Liu, et al. ∙

research

∙ 03/07/2023

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining signif...

0 Yihan Cao, et al. ∙

research

∙ 03/07/2023

Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation

Interpretability and efficiency are two important considerations for the...

13 Yixin Liu, et al. ∙

research

∙ 03/05/2023

Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation

While the use of graph-structured data in various fields is becoming inc...

0 Yixin Liu, et al. ∙

research

∙ 03/05/2023

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation

The volume of open-source biomedical data has been essential to the deve...

0 Yixin Liu, et al. ∙

research

∙ 02/18/2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

The Pretrained Foundation Models (PFMs) are regarded as the foundation f...

0 Ce Zhou, et al. ∙

research

∙ 02/18/2023

Backdoor Attacks to Pre-trained Unified Foundation Models

The rise of pre-trained unified foundation models breaks down the barrie...

0 Zenghui Yuan, et al. ∙

research

∙ 12/20/2022

Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization

The acquisition of high-quality human annotations through crowdsourcing ...

10 Lining Zhang, et al. ∙

research

∙ 12/20/2022

On Improving Summarization Factual Consistency from Natural Language Feedback

Despite the recent progress in language generation models, their outputs...

0 Yixin Liu, et al. ∙

research

∙ 12/15/2022

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation

Human evaluation is the foundation upon which the evaluation of both sum...

12 Yixin Liu, et al. ∙

research

∙ 11/25/2022

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating

Unsupervised graph representation learning (UGRL) has drawn increasing r...

0 Yixin Liu, et al. ∙

research

∙ 11/23/2022

SEAT: Stable and Explainable Attention

Currently, attention mechanism becomes a standard fixture in most state-...

0 Lijie Hu, et al. ∙

research

∙ 11/23/2022

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing

Graph neural networks (GNNs) have shown their superiority in modeling gr...

1 Yue Tan, et al. ∙

research

∙ 05/25/2022

Leveraging Locality in Abstractive Text Summarization

Despite the successes of neural attention models for natural language ge...

0 Yixin Liu, et al. ∙

research

∙ 05/25/2022

R2D2: Robust Data-to-Text with Replacement Detection

Unfaithful text generation is a common problem for text generation syste...

0 Linyong Nan, et al. ∙

research

∙ 03/31/2022

BRIO: Bringing Order to Abstractive Summarization

Abstractive summarization models are commonly trained using maximum like...

4 Yixin Liu, et al. ∙

research

∙ 02/25/2022

DataLab: A Platform for Data Analysis and Intervention

Despite data's crucial role in machine learning, most existing tools and...

16 Yang Xiao, et al. ∙

research

∙ 02/14/2022

Graph Neural Networks for Graphs with Heterophily: A Survey

Recent years have witnessed fast developments of graph neural networks (...

10 Xin Zheng, et al. ∙

research

∙ 02/11/2022

From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach

Anomaly detection from graph data is an important data mining task in ma...

0 Yu Zheng, et al. ∙

research

∙ 01/17/2022

Towards Unsupervised Deep Graph Structure Learning

In recent years, graph neural networks (GNNs) have emerged as a successf...

0 Yixin Liu, et al. ∙

research

∙ 12/16/2021

CLICKER: A Computational LInguistics Classification Scheme for Educational Resources

A classification scheme of a scientific subject gives an overview of its...

3 Swapnil Hingmire, et al. ∙

research

∙ 12/13/2021

Surfer100: Generating Surveys From Web Resources on Wikipedia-style

Fast-developing fields such as Artificial Intelligence (AI) often outpac...

9 Irene Li, et al. ∙

research

∙ 08/23/2021

Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection

Anomaly detection from graph data has drawn much attention due to its pr...

0 Yu Zheng, et al. ∙

research

∙ 06/28/2021

Priority prediction of Asian Hornet sighting report using machine learning methods

As infamous invaders to the North American ecosystem, the Asian giant ho...

0 Yixin Liu, et al. ∙

research

∙ 06/18/2021

Anomaly Detection in Dynamic Graphs via Transformer

Detecting anomalies for dynamic graphs has drawn increasing attention du...

0 Yixin Liu, et al. ∙

research

∙ 06/03/2021

SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization

In this paper, we present a conceptually simple while empirically powerf...

0 Yixin Liu, et al. ∙

research

∙ 04/15/2021

RefSum: Refactoring Neural Summarization

Although some recent works show potential complementarity among differen...

0 Yixin Liu, et al. ∙

research

∙ 04/13/2021

EXPLAINABOARD: An Explainable Leaderboard for NLP

With the rapid development of NLP research, leaderboards have emerged as...

0 Pengfei Liu, et al. ∙

research

∙ 11/24/2020

Cyclic Label Propagation for Graph Semi-supervised Learning

Graph neural networks (GNNs) have emerged as effective approaches for gr...

0 Zhao Li, et al. ∙

research

∙ 10/24/2020

On Learning Text Style Transfer with Direct Rewards

In most cases, the lack of parallel corpora makes it impossible to direc...

0 Yixin Liu, et al. ∙

research

∙ 09/21/2020

Conditional Automated Channel Pruning for Deep Neural Networks

Model compression aims to reduce the redundancy of deep networks to obta...

35 Yixin Liu, et al. ∙

Yixin Liu

Featured Co-authors