b'Yizhou Sun'

research

∙ 09/15/2023

Unveiling Invariances via Neural Network Pruning

Invariance describes transformations that do not alter data's underlying...

0 Derek Xu, et al. ∙

research

∙ 07/20/2023

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models

Recent advances in large language models (LLMs) have demonstrated notabl...

0 Xiaoxuan Wang, et al. ∙

research

∙ 07/19/2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

Modeling customer shopping intentions is a crucial task for e-commerce, ...

0 Wei Jin, et al. ∙

research

∙ 07/11/2023

Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test

The expressive power of graph neural networks is usually measured by com...

0 Arjun Subramonian, et al. ∙

research

∙ 07/10/2023

Generalizing Graph ODE for Learning Complex System Dynamics across Environments

Learning multi-agent system dynamics has been extensively studied for va...

0 Zijie Huang, et al. ∙

research

∙ 07/08/2023

Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks

Heterogeneous Information Networks (HINs) are information networks with ...

0 Shixuan Liu, et al. ∙

research

∙ 07/04/2023

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs

Knowledge graph embeddings (KGE) have been extensively studied to embed ...

0 Zijie Huang, et al. ∙

research

∙ 06/25/2023

Meta-Path-based Probabilistic Soft Logic for Drug-Target Interaction Prediction

Drug-target interaction (DTI) prediction, which aims at predicting wheth...

0 Shengming Zhang, et al. ∙

research

∙ 06/24/2023

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware

Graph neural networks (GNNs) are emerging for machine learning research ...

0 Shichang Zhang, et al. ∙

research

∙ 06/20/2023

CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems

Multi-agent dynamical systems refer to scenarios where multiple units in...

0 Song Jiang, et al. ∙

research

∙ 06/13/2023

AVIS: Autonomous Visual Information Seeking with Large Language Models

In this paper, we propose an autonomous information seeking visual quest...

0 Ziniu Hu, et al. ∙

research

∙ 05/18/2023

ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation

Recent years have witnessed the growing popularity of domain-specific ac...

0 Yunsheng Bai, et al. ∙

research

∙ 04/23/2023

Bi-Level Attention Graph Neural Networks

Recent graph neural networks (GNNs) with the attention mechanism have hi...

0 Roshni G. Iyer, et al. ∙

research

∙ 03/07/2023

Neural Compositional Rule Learning for Knowledge Graph Reasoning

Learning logical rules is critical to improving reasoning in KGs. This i...

0 Kewei Cheng, et al. ∙

research

∙ 02/24/2023

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction

Transparency and accountability have become major concerns for black-box...

0 Shichang Zhang, et al. ∙

research

∙ 12/10/2022

REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory

In this paper, we propose an end-to-end Retrieval-Augmented Visual Langu...

0 Ziniu Hu, et al. ∙

research

∙ 12/05/2022

A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis

Pandemic(epidemic) modeling, aiming at disease spreading analysis, has a...

0 Danfeng Guo, et al. ∙

research

∙ 12/05/2022

Dissimilar Nodes Improve Graph Active Learning

Training labels for graph embedding algorithms could be costly to obtain...

0 Zhicheng Ren, et al. ∙

research

∙ 11/24/2022

Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes

In this paper, we move towards combining large parametric models with no...

0 Yiqiao Jin, et al. ∙

research

∙ 11/15/2022

Introducing Semantics into Speech Encoders

Recent studies find existing self-supervised speech encoders contain pri...

10 Derek Xu, et al. ∙

research

∙ 11/15/2022

Empowering Language Models with Knowledge Graph Reasoning for Question Answering

Answering open-domain questions requires world knowledge about in-contex...

0 Ziniu Hu, et al. ∙

research

∙ 10/16/2022

Learning Probabilities of Causation from Finite Population Data

This paper deals with the problem of learning the probabilities of causa...

4 Ang Li, et al. ∙

research

∙ 10/15/2022

Code Recommendation for Open Source Software Developers

Open Source Software (OSS) is forming the spines of technology infrastru...

0 Yiqiao Jin, et al. ∙

research

∙ 10/15/2022

Unit Selection: Learning Benefit Function from Finite Population Data

The unit selection problem is to identify a group of individuals who are...

0 Ang Li, et al. ∙

research

∙ 09/19/2022

Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs

Two-view knowledge graphs (KGs) jointly represent two components: an ont...

0 Roshni G. Iyer, et al. ∙

research

∙ 09/16/2022

Detecting Political Biases of Named Entities and Hashtags on Twitter

Ideological divisions in the United States have become increasingly prom...

4 Zhiping Xiao, et al. ∙

research

∙ 07/21/2022

Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search

Recent advances have shown the success of using reinforcement learning a...

0 Yunsheng Bai, et al. ∙

research

∙ 06/06/2022

Schema-Guided Event Graph Completion

We tackle a new task, event graph completion, which aims to predict miss...

0 Hongwei Wang, et al. ∙

research

∙ 03/28/2022

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment

Predicting missing facts in a knowledge graph (KG) is crucial as modern ...

0 Zijie Huang, et al. ∙

research

∙ 01/28/2022

Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games

Explaining predictions made by machine learning models is important and ...

0 Shichang Zhang, et al. ∙

research

∙ 01/11/2022

Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics

Efficient model selection for identifying a suitable pre-trained neural ...

0 Chunheng Jiang, et al. ∙

research

∙ 11/17/2021

Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks

High-level synthesis (HLS) has freed the computer architects from develo...

0 Atefeh Sohrabizadeh, et al. ∙

research

∙ 10/17/2021

Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation

Graph Neural Networks (GNNs) have recently become popular for graph mach...

0 Shichang Zhang, et al. ∙

research

∙ 10/09/2021

Deep Learning of Potential Outcomes

This review systematizes the emerging literature for causal inference us...

5 Bernard Koch, et al. ∙

research

∙ 09/21/2021

Relation-Guided Pre-Training for Open-Domain Question Answering

Answering complex open-domain questions requires understanding the laten...

0 Ziniu Hu, et al. ∙

research

∙ 08/05/2021

Fuzzy Logic based Logical Query Answering on Knowledge Graph

Answering complex First-Order Logical (FOL) queries on large-scale incom...

0 Xuelu Chen, et al. ∙

research

∙ 06/23/2021

Clinical Named Entity Recognition using Contextualized Token Representations

The clinical named entity recognition (CNER) task seeks to locate and cl...

0 Yichao Zhou, et al. ∙

research

∙ 03/15/2021

Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts

Many large-scale knowledge bases simultaneously represent two views of k...

0 Junheng Hao, et al. ∙

research

∙ 03/07/2021

Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases

The widespread of Coronavirus has led to a worldwide pandemic with a hig...

0 Junheng Hao, et al. ∙

research

∙ 02/28/2021

CREATe: Clinical Report Extraction and Annotation Technology

Clinical case reports are written descriptions of the unique aspects of ...

0 Yichao Zhou, et al. ∙

research

∙ 12/23/2020

Motif-Driven Contrastive Learning of Graph Representations

Graph motifs are significant subgraph patterns occurring frequently in g...

0 Shichang Zhang, et al. ∙

research

∙ 12/16/2020

Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference

There has been a steady need in the medical community to precisely extra...

11 Yichao Zhou, et al. ∙

research

∙ 12/12/2020

Query-free Black-box Adversarial Attacks on Graphs

Many graph-based machine learning models are known to be vulnerable to a...

0 Jiarong Xu, et al. ∙

research

∙ 12/04/2020

Unsupervised Adversarially-Robust Representation Learning on Graphs

Recent works have demonstrated that deep learning on graphs is vulnerabl...

0 Jiarong Xu, et al. ∙

research

∙ 11/08/2020

Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations

Many real-world systems, such as moving planets, can be considered as mu...

0 Zijie Huang, et al. ∙

research

∙ 10/12/2020

Multivariate Time Series Classification with Hierarchical Variational Graph Pooling

Over the past decade, multivariate time series classification (MTSC) has...

4 Haoyan Xu, et al. ∙

research

∙ 10/07/2020

Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer

Predicting missing facts in a knowledge graph (KG) is a crucial task in ...

21 Xuelu Chen, et al. ∙

research

∙ 06/27/2020

GPT-GNN: Generative Pre-Training of Graph Neural Networks

Graph neural networks (GNNs) have been demonstrated to be powerful in mo...

43 Ziniu Hu, et al. ∙

research

∙ 06/11/2020

Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction

We introduce Bi-GNN for modeling biological link prediction tasks such a...

0 Yunsheng Bai, et al. ∙

research

∙ 06/02/2020

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding

We aim at solving the problem of predicting people's ideology, or politi...

18 Zhiping Xiao, et al. ∙

Yizhou Sun

Featured Co-authors