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09/13/2023
UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training
Magnetic resonance imaging (MRI) have played a crucial role in brain dis...
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09/05/2023
RDGSL: Dynamic Graph Representation Learning with Structure Learning
Temporal Graph Networks (TGNs) have shown remarkable performance in lear...
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09/05/2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation
Continuous-time dynamic graph modeling is a crucial task for many real-w...
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08/27/2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding
Temporal Interaction Graphs (TIGs) are widely employed to model intricat...
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08/21/2023
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
Recently, foundation models have exhibited remarkable advancements in mu...
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08/10/2023
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge
Quantitative organ assessment is an essential step in automated abdomina...
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08/09/2023
Dual Intents Graph Modeling for User-centric Group Discovery
Online groups have become increasingly prevalent, providing users with s...
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06/13/2023
Incentive-Compatible Selection for One or Two Influentials
Selecting influentials in networks against strategic manipulations has a...
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03/21/2023
Chinese Intermediate English Learners outdid ChatGPT in deep cohesion: Evidence from English narrative writing
ChatGPT is a publicly available chatbot that can quickly generate texts ...
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03/06/2023
Distributed Mechanism Design in Social Networks
Designing auctions to incentivize buyers to invite new buyers via their ...
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03/06/2023
A Redistribution Framework for Diffusion Auctions
Redistribution mechanism design aims to redistribute the revenue collect...
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02/13/2023
TIGER: Temporal Interaction Graph Embedding with Restarts
Temporal interaction graphs (TIGs), consisting of sequences of timestamp...
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02/07/2023
ConsRec: Learning Consensus Behind Interactions for Group Recommendation
Since group activities have become very common in daily life, there is a...
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02/06/2023
Optimal Diffusion Auctions
Diffusion auction design is a new trend in mechanism design for which th...
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11/19/2022
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
Visual Question Answering (VQA) is a multi-discipline research task. To ...
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11/09/2022
Bounds and semiparametric inference in L^∞- and L^2-sensitivity analysis for observational studies
Sensitivity analysis for the unconfoundedness assumption is a crucial co...
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08/12/2022
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation
Risk scoring systems have been widely deployed in many applications, whi...
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07/05/2022
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification
Whole slide image (WSI) classification often relies on deep weakly super...
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06/08/2022
ReCo: A Dataset for Residential Community Layout Planning
Layout planning is centrally important in the field of architecture and ...
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04/07/2022
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy
Proactive dialogue system is able to lead the conversation to a goal top...
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04/06/2022
Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension
Procedural Multimodal Documents (PMDs) organize textual instructions and...
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03/21/2022
What is a randomization test?
The meaning of randomization tests has become obscure in statistics educ...
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03/18/2022
Collaborative Driving: Learning- Aided Joint Topology Formulation and Beamforming
Currently, autonomous vehicles are able to drive more naturally based on...
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03/17/2022
Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations
With the emerging research effort to integrate structured and unstructur...
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03/08/2022
Graph Attention Transformer Network for Multi-Label Image Classification
Multi-label classification aims to recognize multiple objects or attribu...
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02/06/2022
Triangle Graph Interest Network for Click-through Rate Prediction
Click-through rate prediction is a critical task in online advertising. ...
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01/15/2022
Task Allocation on Networks with Execution Uncertainty
We study a single task allocation problem where each worker connects to ...
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12/28/2021
Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles
Mobile edge computing has become an effective and fundamental paradigm f...
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12/02/2021
Autonomous Vehicular Networks: Perspective and Open Issues
The vehicular ad hoc networks (VANETs) have been researched for over twe...
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11/04/2021
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Missing data is an important problem in machine learning practice. Start...
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11/04/2021
A semi-automatic ultrasound image analysis system for the grading diagnosis of COVID-19 pneumonia
This paper proposes a semi-automatic system based on quantitative charac...
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08/17/2021
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs
In the question answering(QA) task, multi-hop reasoning framework has be...
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08/17/2021
How Powerful is Graph Convolution for Recommendation?
Graph convolutional networks (GCNs) have recently enabled a popular clas...
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08/10/2021
Adaptive Multi-Resolution Attention with Linear Complexity
Transformers have improved the state-of-the-art across numerous tasks in...
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08/06/2021
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects
Conditional average treatment effects (CATEs) allow us to understand the...
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07/22/2021
Incentive Compatible Mechanism for Influential Agent Selection
Selecting the most influential agent in a network has huge practical val...
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07/21/2021
TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation
Deep learning models are notoriously data-hungry. Thus, there is an urgi...
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07/21/2021
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
Liver cancer is one of the most common cancers worldwide. Due to inconsp...
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04/21/2021
Multiple conditional randomization tests
We propose a general framework for (multiple) conditional randomization ...
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12/23/2020
Exploring Instance-Level Uncertainty for Medical Detection
The ability of deep learning to predict with uncertainty is recognized a...
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12/22/2020
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
Developing link prediction models to automatically complete knowledge gr...
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12/10/2020
Argument Mining Driven Analysis of Peer-Reviews
Peer reviewing is a central process in modern research and essential for...
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11/18/2020
Incentives to Form Larger Coalitions when Players Have the Power to Choose
We study a cooperative game setting where the grand coalition may change...
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11/17/2020
Learning outside the Black-Box: The pursuit of interpretable models
Machine Learning has proved its ability to produce accurate models but t...
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10/28/2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
With the unprecedented developments in deep learning, automatic segmenta...
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10/19/2020
Double-Uncertainty Weighted Method for Semi-supervised Learning
Though deep learning has achieved advanced performance recently, it rema...
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10/19/2020
Modality-Pairing Learning for Brain Tumor Segmentation
Automatic brain tumor segmentation from multi-modality Magnetic Resonanc...
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10/15/2020
GMH: A General Multi-hop Reasoning Model for KG Completion
Knowledge graphs are essential for numerous downstream natural language ...
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09/28/2020
CASTLE: Regularization via Auxiliary Causal Graph Discovery
Regularization improves generalization of supervised models to out-of-sa...
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09/22/2020