b'Qian Li'

research

∙ 08/29/2023

Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence

Continual learning aims to empower artificial intelligence (AI) with str...

0 Liyuan Wang, et al. ∙

research

∙ 08/20/2023

Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction

Three-dimensional (3D) freehand ultrasound (US) reconstruction without u...

0 Qi Li, et al. ∙

research

∙ 08/03/2023

Hard Adversarial Example Mining for Improving Robust Fairness

Adversarial training (AT) is widely considered the state-of-the-art tech...

0 Chenhao Lin, et al. ∙

research

∙ 07/10/2023

Counterfactual Explanation for Fairness in Recommendation

Fairness-aware recommendation eliminates discrimination issues to build ...

0 Xiangmeng Wang, et al. ∙

research

∙ 07/10/2023

Causal Neural Graph Collaborative Filtering

Graph collaborative filtering (GCF) has gained considerable attention in...

0 Xiangmeng Wang, et al. ∙

research

∙ 07/08/2023

BPNet: Bézier Primitive Segmentation on 3D Point Clouds

This paper proposes BPNet, a novel end-to-end deep learning framework to...

0 Rao Fu, et al. ∙

research

∙ 06/20/2023

Exploring Antitrust and Platform Power in Generative AI

The concentration of power in a few digital technology companies has bec...

0 Konrad Kollnig, et al. ∙

research

∙ 05/10/2023

Quantization Aware Attack: Enhancing the Transferability of Adversarial Attacks across Target Models with Different Quantization Bitwidths

Quantized Neural Networks (QNNs) receive increasing attention in resourc...

0 Yulong Yang, et al. ∙

research

∙ 04/04/2023

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment

The multi-modal entity alignment (MMEA) aims to find all equivalent enti...

0 Qian Li, et al. ∙

research

∙ 03/26/2023

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows

Counterfactual explanation is a form of interpretable machine learning t...

0 Tri Dung Duong, et al. ∙

research

∙ 03/26/2023

Achieving Counterfactual Fairness with Imperfect Structural Causal Model

Counterfactual fairness alleviates the discrimination between the model ...

0 Tri Dung Duong, et al. ∙

research

∙ 03/12/2023

Spatial Correspondence between Graph Neural Network-Segmented Images

Graph neural networks (GNNs) have been proposed for medical image segmen...

1 Qian Li, et al. ∙

research

∙ 03/07/2023

End-to-end Face-swapping via Adaptive Latent Representation Learning

Taking full advantage of the excellent performance of StyleGAN, style tr...

0 Chenhao Lin, 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

∙ 02/16/2023

Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?

Prompt tuning (PT) which only tunes the embeddings of an additional sequ...

2 Chengwei Qin, et al. ∙

research

∙ 02/10/2023

A Comprehensive Survey on Automatic Knowledge Graph Construction

Automatic knowledge graph construction aims to manufacture structured hu...

0 Lingfeng Zhong, et al. ∙

research

∙ 02/07/2023

Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs

Rapidly learning from ongoing experiences and remembering past events wi...

0 Yu Duan, et al. ∙

research

∙ 12/29/2022

Transactions Make Debugging Easy

We propose TROD, a novel transaction-oriented framework for debugging mo...

0 Qian Li, et al. ∙

research

∙ 11/24/2022

Identifying discreditable firms in a large-scale ownership network

Violations of laws and regulations about food safety, production safety,...

0 Tao Zhou, et al. ∙

research

∙ 11/15/2022

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems

Event detection in power systems aims to identify triggers and event typ...

0 Qian Li, et al. ∙

research

∙ 11/09/2022

Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames

Three-dimensional (3D) freehand ultrasound (US) reconstruction without a...

0 Qi Li, et al. ∙

research

∙ 11/08/2022

Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning

Sparsity of formal knowledge and roughness of non-ontological constructi...

0 Qian Li, et al. ∙

research

∙ 08/27/2022

Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework

Developers are increasingly using function-as-a-service (FaaS) platforms...

0 Peter Kraft, et al. ∙

research

∙ 08/23/2022

FedMCSA: Personalized Federated Learning via Model Components Self-Attention

Federated learning (FL) facilitates multiple clients to jointly train a ...

0 Qi Guo, et al. ∙

research

∙ 08/17/2022

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing

Topology-imbalance is a graph-specific imbalance problem caused by the u...

8 Qingyun Sun, et al. ∙

research

∙ 08/10/2022

Machine Learning with DBOS

We recently proposed a new cluster operating system stack, DBOS, centere...

8 Robert Redmond, et al. ∙

research

∙ 07/24/2022

Learning Generalizable Light Field Networks from Few Images

We explore a new strategy for few-shot novel view synthesis based on a n...

0 Qian Li, et al. ∙

research

∙ 07/14/2022

Reinforced Path Reasoning for Counterfactual Explainable Recommendation

Counterfactual explanations interpret the recommendation mechanism via e...

0 Xiangmeng Wang, et al. ∙

research

∙ 07/13/2022

CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One

Continual learning requires incremental compatibility with a sequence of...

0 Liyuan Wang, et al. ∙

research

∙ 07/01/2022

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning

Graph contrastive learning has emerged as a powerful tool for unsupervis...

0 Haoran Yang, et al. ∙

research

∙ 04/02/2022

Forestry digital twin with machine learning in Landsat 7 data

Modeling forests using historical data allows for more accurately evolut...

0 XueTao Jiang, et al. ∙

research

∙ 03/23/2022

New Distinguishers for Negation-Limited Weak Pseudorandom Functions

We show how to distinguish circuits with log k negations (a.k.a k-monoto...

0 Zhihuai Chen, et al. ∙

research

∙ 03/04/2022

Universal Segmentation of 33 Anatomies

In the paper, we present an approach for learning a single model that un...

27 Pengbo Liu, et al. ∙

research

∙ 11/21/2021

DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction

While Computed Tomography (CT) reconstruction from X-ray sinograms is ne...

6 Ce Wang, et al. ∙

research

∙ 11/15/2021

Authentication of optical physical unclonable functions based on single-pixel detection

Physical unclonable function (PUF) has been proposed as a promising and ...

0 Pidong Wang, et al. ∙

research

∙ 11/12/2021

Moser-Tardos Algorithm: Beyond Shearer's Bound

In a seminal paper (Moser and Tardos, JACM'10), Moser and Tardos develop...

0 Kun He, et al. ∙

research

∙ 10/23/2021

AFEC: Active Forgetting of Negative Transfer in Continual Learning

Continual learning aims to learn a sequence of tasks from dynamic data d...

0 Liyuan Wang, et al. ∙

research

∙ 09/24/2021

How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View

Knowledge Graph Embedding (KGE) aims to learn representations for entiti...

8 Ren Li, et al. ∙

research

∙ 09/08/2021

Bionic Optical Physical Unclonable Functions for Authentication and Encryption

Information security is of great importance for modern society with all ...

0 Yongbiao Wan, et al. ∙

research

∙ 08/23/2021

Event Extraction by Associating Event Types and Argument Roles

Event extraction (EE), which acquires structural event knowledge from te...

0 Qian Li, et al. ∙

research

∙ 08/08/2021

AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer

Fast arbitrary neural style transfer has attracted widespread attention ...

16 Songhua Liu, et al. ∙

research

∙ 07/05/2021

Deep Learning Schema-based Event Extraction: Literature Review and Current Trends

Schema-based event extraction is a critical technique to apprehend the e...

12 Qian Li, et al. ∙

research

∙ 07/04/2021

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction

Event extraction (EE) is a crucial information extraction task that aims...

0 Jiawei Sheng, et al. ∙

research

∙ 06/25/2021

MARS: A second-order reduction algorithm for high-dimensional sparse precision matrices estimation

Estimation of the precision matrix (or inverse covariance matrix) is of ...

0 Qian Li, et al. ∙

research

∙ 06/23/2021

Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations

Event extraction is a fundamental task for natural language processing. ...

6 Qian Li, et al. ∙

research

∙ 05/31/2021

CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography

Spine-related diseases have high morbidity and cause a huge burden of so...

9 Yang Deng, et al. ∙

research

∙ 05/28/2021

Stochastic Intervention for Causal Inference via Reinforcement Learning

Causal inference methods are widely applied in various decision-making d...

0 Tri Dung Duong, et al. ∙

research

∙ 05/27/2021

Stochastic Intervention for Causal Effect Estimation

Causal inference methods are widely applied in various decision-making d...

0 Tri Dung Duong, et al. ∙

research

∙ 05/17/2021

Be Causal: De-biasing Social Network Confounding in Recommendation

In recommendation systems, the existence of the missing-not-at-random (M...

0 Qian Li, et al. ∙

research

∙ 05/03/2021

Prototype-based Counterfactual Explanation for Causal Classification

Counterfactual explanation is one branch of interpretable machine learni...

0 Tri Dung Duong, et al. ∙

Qian Li

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