b'Rui Li'

research

∙ 09/08/2023

Beyond Static Datasets: A Deep Interaction Approach to LLM Evaluation

Large Language Models (LLMs) have made progress in various real-world ta...

0 Jiatong Li, et al. ∙

research

∙ 08/06/2023

Learning Fine-Grained Features for Pixel-wise Video Correspondences

Video analysis tasks rely heavily on identifying the pixels from differe...

0 Rui Li, et al. ∙

research

∙ 07/19/2023

TinyTrain: Deep Neural Network Training at the Extreme Edge

On-device training is essential for user personalisation and privacy. Wi...

0 Young D. Kwon, et al. ∙

research

∙ 06/07/2023

Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models

Approximate inference in Gaussian process (GP) models with non-conjugate...

0 Rui Li, et al. ∙

research

∙ 05/30/2023

Research on Multilingual News Clustering Based on Cross-Language Word Embeddings

Classifying the same event reported by different countries is of signifi...

0 Lin Wu, et al. ∙

research

∙ 05/30/2023

The News Delivery Channel Recommendation Based on Granular Neural Network

With the continuous maturation and expansion of neural network technolog...

0 Lin Wu, et al. ∙

research

∙ 05/23/2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion

Embedding models have shown great power in knowledge graph completion (K...

0 Rui Li, et al. ∙

research

∙ 05/23/2023

Dual-modality Smart Shoes for Quantitative Assessment of Hemiplegic Patients' Lower Limbs' Muscle Strength

Stroke can lead to the impaired motor ability of the patient's lower lim...

0 Huajun Long, et al. ∙

research

∙ 05/13/2023

Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation

Deep neural networks (DNNs) achieve promising performance in visual reco...

0 Shuai Wang, et al. ∙

research

∙ 05/13/2023

Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation

Source-free domain adaptation aims to adapt deep neural networks using o...

0 Shuai Wang, et al. ∙

research

∙ 04/18/2023

Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes

Multi-frame depth estimation generally achieves high accuracy relying on...

0 Rui Li, et al. ∙

research

∙ 03/20/2023

Resilient conductive membrane synthesized by in-situ polymerisation for wearable non-invasive electronics on moving appendages of cyborg insect

By leveraging their high mobility and small size, insects have been comb...

0 Qifeng Lin, et al. ∙

research

∙ 03/20/2023

Feature Alignment and Uniformity for Test Time Adaptation

Test time adaptation (TTA) aims to adapt deep neural networks when recei...

0 Shuai Wang, et al. ∙

research

∙ 03/17/2023

LSwinSR: UAV Imagery Super-Resolution based on Linear Swin Transformer

Super-resolution, which aims to reconstruct high-resolution images from ...

0 Rui Li, et al. ∙

research

∙ 03/17/2023

Prototype Knowledge Distillation for Medical Segmentation with Missing Modality

Multi-modality medical imaging is crucial in clinical treatment as it ca...

0 Shuai Wang, et al. ∙

research

∙ 03/07/2023

Bootstrap The Original Latent: Learning a Private Model from a Black-box Model

In this paper, considering the balance of data/model privacy of model ow...

0 Shuai Wang, et al. ∙

research

∙ 01/29/2023

Producing Usable Taxonomies Cheaply and Rapidly at Pinterest Using Discovered Dynamic μ-Topics

Creating a taxonomy of interests is expensive and human-effort intensive...

0 Abhijit Mahabal, et al. ∙

research

∙ 12/24/2022

A Large-scale Friend Suggestion Architecture

Online social as an extension of traditional life plays an important rol...

0 Lin Zhang, et al. ∙

research

∙ 12/15/2022

Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation

Recent image degradation estimation methods have enabled single-image su...

0 Royson Lee, et al. ∙

research

∙ 12/10/2022

Expanding Knowledge Graphs with Humans in the Loop

Curated knowledge graphs encode domain expertise and improve the perform...

0 Emaad Manzoor, et al. ∙

research

∙ 12/08/2022

NRTR: Neuron Reconstruction with Transformer from 3D Optical Microscopy Images

The neuron reconstruction from raw Optical Microscopy (OM) image stacks ...

0 Yijun Wang, et al. ∙

research

∙ 11/22/2022

Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks

A biological system is a complex network of heterogeneous molecular enti...

0 Kishan K C, et al. ∙

research

∙ 11/11/2022

Towards Improved Learning in Gaussian Processes: The Best of Two Worlds

Gaussian process training decomposes into inference of the (approximate)...

0 Rui Li, et al. ∙

research

∙ 10/26/2022

Learning on Large-scale Text-attributed Graphs via Variational Inference

This paper studies learning on text-attributed graphs (TAGs), where each...

0 Jianan Zhao, et al. ∙

research

∙ 10/19/2022

The Future of Consumer Edge-AI Computing

Deep Learning has proliferated dramatically across consumer devices in l...

0 Stefanos Laskaridis, et al. ∙

research

∙ 10/17/2022

Test-Time Training for Graph Neural Networks

Graph Neural Networks (GNNs) have made tremendous progress in the graph ...

3 Yiqi Wang, et al. ∙

research

∙ 10/16/2022

A Policy-based Approach to the SpecAugment Method for Low Resource E2E ASR

SpecAugment is a very effective data augmentation method for both HMM an...

0 Rui Li, et al. ∙

research

∙ 09/16/2022

Spatial-then-Temporal Self-Supervised Learning for Video Correspondence

Learning temporal correspondence from unlabeled videos is of vital impor...

4 Rui Li, et al. ∙

research

∙ 08/26/2022

Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning

Due to the difficulties of obtaining multimodal paired images in clinica...

0 Zecheng Liu, et al. ∙

research

∙ 08/26/2022

TFusion: Transformer based N-to-One Multimodal Fusion Block

People perceive the world with different senses, such as sight, hearing,...

0 Zecheng Liu, et al. ∙

research

∙ 07/03/2022

Finding Top-r Influential Communities under Aggregation Functions

Community search is a problem that seeks cohesive and connected subgraph...

0 You Peng, et al. ∙

research

∙ 06/13/2022

A Sahlqvist-style Correspondence Theorem for Linear-time Temporal Logic

The language of modal logic is capable of expressing first-order conditi...

0 Rui Li, et al. ∙

research

∙ 05/27/2022

A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching

The fusion of camera sensor and inertial data is a leading method for eg...

0 Arno Solin, et al. ∙

research

∙ 04/28/2022

Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation

In clinical practice, well-aligned multi-modal images, such as Magnetic ...

0 Zekang Chen, et al. ∙

research

∙ 04/14/2022

HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images

Different from handcrafted features, deep neural networks can automatica...

4 Jikuan Qian, et al. ∙

research

∙ 03/21/2022

Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation

We introduce a novel frame-interpolation-based method for slice imputati...

0 Zhaotao Wu, et al. ∙

research

∙ 03/04/2022

TransMUSE: Transferable Traffic Prediction in MUlti-Service EdgeNetworks

The Covid-19 pandemic has forced the workforce to switch to working from...

0 Luyang Xu, et al. ∙

research

∙ 02/28/2022

Neural Adaptive SCEne Tracing

Neural rendering with implicit neural networks has recently emerged as a...

4 Rui Li, et al. ∙

research

∙ 02/16/2022

HousE: Knowledge Graph Embedding with Householder Parameterization

The effectiveness of knowledge graph embedding (KGE) largely depends on ...

0 Rui Li, et al. ∙

research

∙ 02/04/2022

NeAT: Neural Adaptive Tomography

In this paper, we present Neural Adaptive Tomography (NeAT), the first a...

23 Darius Rückert, et al. ∙

research

∙ 02/01/2022

Dilated Continuous Random Field for Semantic Segmentation

Mean field approximation methodology has laid the foundation of modern C...

0 Xi Mo, et al. ∙

research

∙ 01/11/2022

Motion-Focused Contrastive Learning of Video Representations

Motion, as the most distinct phenomenon in a video to involve the change...

4 Rui Li, et al. ∙

research

∙ 12/14/2021

Improving Spectral Graph Convolution for Learning Graph-level Representation

From the original theoretically well-defined spectral graph convolution ...

0 Mingqi Yang, et al. ∙

research

∙ 11/29/2021

BuildFormer: Automatic building extraction with vision transformer

Building extraction from fine-resolution remote sensing images plays a v...

0 Libo Wang, et al. ∙

research

∙ 10/25/2021

Shape and Reflectance Reconstruction in Uncontrolled Environments by Differentiable Rendering

Simultaneous reconstruction of geometry and reflectance properties in un...

0 Rui Li, et al. ∙

research

∙ 10/11/2021

Achieving safe minimum circle circumnavigation around multiple targets: a dynamic compensation approach

Minimum circle circumnavigation is proposed in this paper, which is of s...

0 Chao Wang, et al. ∙

research

∙ 09/27/2021

Inferring Facing Direction from Voice Signals

Consider a home or office where multiple devices are running voice assis...

0 Yu-Lin Wei, et al. ∙

research

∙ 09/23/2021

Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning

One-shot voice cloning aims to transform speaker voice and speaking styl...

0 Rui Li, et al. ∙

research

∙ 09/18/2021

Efficient Hybrid Transformer: Learning Global-local Context for Urban Sence Segmentation

Semantic segmentation of fine-resolution urban scene images plays a vita...

0 Libo Wang, et al. ∙

research

∙ 08/26/2021

A promotion for odd symmetric discrete Fourier transform

DFT is the numerical implementation of Fourier transform (FT), and it ha...

0 Rui Li, et al. ∙

Rui Li

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