b'Yu Wang'

research

∙ 09/21/2023

Optimizing V2V Unicast Communication Transmission with Reinforcement Learning and Vehicle Clustering

Efficient routing algorithms based on vehicular ad hoc networks (VANETs)...

0 Yu Wang, et al. ∙

research

∙ 09/05/2023

Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers

The segmentation of kidney layer structures, including cortex, outer str...

0 Muhao Liu, et al. ∙

research

∙ 09/05/2023

An Automatic Evaluation Framework for Multi-turn Medical Consultations Capabilities of Large Language Models

Large language models (LLMs) have achieved significant success in intera...

0 Yusheng Liao, et al. ∙

research

∙ 08/31/2023

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications

Graph Neural Networks (GNNs) have gained significant attention owing to ...

0 Yi Zhang, et al. ∙

research

∙ 08/28/2023

Unsupervised Active Learning: Optimizing Labeling Cost-Effectiveness for Automatic Speech Recognition

In recent years, speech-based self-supervised learning (SSL) has made si...

0 Zhisheng Zheng, et al. ∙

research

∙ 08/27/2023

Label Denoising through Cross-Model Agreement

Learning from corrupted labels is very common in real-world machine-lear...

0 Yu Wang, et al. ∙

research

∙ 08/24/2023

Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory

Risk-sensitive reinforcement learning (RL) has garnered significant atte...

0 Karthik Somayaji NS, et al. ∙

research

∙ 08/22/2023

Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Large Language Models (LLMs) have revolutionized Natural Language Proces...

0 Mohamed Elaraby, et al. ∙

research

∙ 08/22/2023

Knowledge Graph Prompting for Multi-Document Question Answering

The 'pre-train, prompt, predict' paradigm of large language models (LLMs...

0 Yu Wang, et al. ∙

research

∙ 08/20/2023

LibriSQA: Advancing Free-form and Open-ended Spoken Question Answering with a Novel Dataset and Framework

While Large Language Models (LLMs) have demonstrated commendable perform...

0 Zihan Zhao, et al. ∙

research

∙ 08/16/2023

DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting

Subgraph counting is the problem of counting the occurrences of a given ...

0 Tianyu Fu, et al. ∙

research

∙ 08/10/2023

Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology

Podocytes, specialized epithelial cells that envelop the glomerular capi...

0 Jiayuan Chen, et al. ∙

research

∙ 08/07/2023

Learning Concise and Descriptive Attributes for Visual Recognition

Recent advances in foundation models present new opportunities for inter...

0 An Yan, et al. ∙

research

∙ 08/04/2023

Model Provenance via Model DNA

Understanding the life cycle of the machine learning (ML) model is an in...

0 Xin Mu, et al. ∙

research

∙ 07/28/2023

Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding

This work aims at decreasing the end-to-end generation latency of large ...

0 Xuefei Ning, et al. ∙

research

∙ 07/25/2023

Audio-aware Query-enhanced Transformer for Audio-Visual Segmentation

The goal of the audio-visual segmentation (AVS) task is to segment the s...

0 Jinxiang Liu, et al. ∙

research

∙ 07/17/2023

A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Skin diseases are among the most prevalent health issues, and accurate c...

0 Yan-Jie Zhou, et al. ∙

research

∙ 07/17/2023

Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection

Voxel-based methods have achieved state-of-the-art performance for 3D ob...

0 Tianchen Zhao, et al. ∙

research

∙ 07/10/2023

LINFA: a Python library for variational inference with normalizing flow and annealing

Variational inference is an increasingly popular method in statistics an...

0 Yu Wang, et al. ∙

research

∙ 07/10/2023

Fairness and Diversity in Recommender Systems: A Survey

Recommender systems are effective tools for mitigating information overl...

0 Yuying Zhao, et al. ∙

research

∙ 07/08/2023

Fairness-Aware Graph Neural Networks: A Survey

Graph Neural Networks (GNNs) have become increasingly important due to t...

0 April Chen, et al. ∙

research

∙ 06/20/2023

Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023

This technical report presents our 1st place solution for the Waymo Open...

0 Yu Wang, et al. ∙

research

∙ 06/15/2023

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation

Human mobility patterns have shown significant applications in policy-de...

0 Yu Wang, et al. ∙

research

∙ 06/15/2023

Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation

The excellent generalization ability of self-supervised learning (SSL) f...

0 Ziyang Ma, et al. ∙

research

∙ 06/15/2023

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models

Diffusion probabilistic models (DPMs) are a new class of generative mode...

0 Enshu Liu, et al. ∙

research

∙ 06/13/2023

MolCAP: Molecular Chemical reActivity pretraining and prompted-finetuning enhanced molecular representation learning

Molecular representation learning (MRL) is a fundamental task for drug d...

0 Yu Wang, et al. ∙

research

∙ 06/13/2023

Enhanced Multimodal Representation Learning with Cross-modal KD

This paper explores the tasks of leveraging auxiliary modalities which a...

0 Mengxi Chen, et al. ∙

research

∙ 06/09/2023

Design Principles for Generalization and Scalability of AI in Communication Systems

Artificial intelligence (AI) has emerged as a powerful tool for addressi...

0 Pablo Soldati, et al. ∙

research

∙ 06/08/2023

Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization

Fine-grained visual categorization (FGVC) is a challenging task due to s...

0 Shuo Ye, et al. ∙

research

∙ 06/05/2023

SelfEvolve: A Code Evolution Framework via Large Language Models

Large language models (LLMs) have already revolutionized code generation...

0 Shuyang Jiang, et al. ∙

research

∙ 06/04/2023

CDLT: A Dataset with Concept Drift and Long-Tailed Distribution for Fine-Grained Visual Categorization

Data is the foundation for the development of computer vision, and the e...

0 Shuo Ye, et al. ∙

research

∙ 05/29/2023

Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning

Recent advances in robust semi-supervised learning (SSL) typically filte...

0 Yu Wang, et al. ∙

research

∙ 05/29/2023

Automatic Detection, Validation and Repair of Race Conditions in Interrupt-Driven Embedded Software

Interrupt-driven programs are widely deployed in safety-critical embedde...

0 Yu Wang, et al. ∙

research

∙ 05/18/2023

Annotation-free Audio-Visual Segmentation

The objective of Audio-Visual Segmentation (AVS) is to localise the soun...

12 Jinxiang Liu, et al. ∙

research

∙ 05/11/2023

V2Meow: Meowing to the Visual Beat via Music Generation

Generating high quality music that complements the visual content of a v...

0 Kun Su, et al. ∙

research

∙ 05/04/2023

High-dimensional Bayesian Optimization via Semi-supervised Learning with Optimized Unlabeled Data Sampling

Bayesian optimization (BO) is a powerful tool for seeking the global opt...

0 Yuxuan Yin, et al. ∙

research

∙ 04/27/2023

Two kinds of numerical algorithms for ultra-slow diffusion equations

In this article, two kinds of numerical algorithms are derived for the u...

0 Min Cai, et al. ∙

research

∙ 04/22/2023

Conditional Denoising Diffusion for Sequential Recommendation

Generative models have attracted significant interest due to their abili...

0 Yu Wang, et al. ∙

research

∙ 04/21/2023

An Optimization Framework For Anomaly Detection Scores Refinement With Side Information

This paper considers an anomaly detection problem in which a detection a...

0 Ali Maatouk, et al. ∙

research

∙ 04/11/2023

ClusterFusion: Real-time Relative Positioning and Dense Reconstruction for UAV Cluster

As robotics technology advances, dense point cloud maps are increasingly...

0 Yifei Dong, et al. ∙

research

∙ 04/10/2023

HybridFusion: LiDAR and Vision Cross-Source Point Cloud Fusion

Recently, cross-source point cloud registration from different sensors h...

0 Yu Wang, et al. ∙

research

∙ 03/31/2023

Analysis of the current status of tuberculosis transmission in China based on a heterogeneity model

Tuberculosis (TB) is an infectious disease transmitted through the respi...

0 Chuanqing Xu, et al. ∙

research

∙ 03/30/2023

A BERT-based Unsupervised Grammatical Error Correction Framework

Grammatical error correction (GEC) is a challenging task of natural lang...

0 Nankai Lin, et al. ∙

research

∙ 03/21/2023

LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception

There is a recent trend in the LiDAR perception field towards unifying m...

0 Zixiang Zhou, et al. ∙

research

∙ 03/17/2023

DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Learning from a large corpus of data, pre-trained models have achieved i...

0 Chaofan Ma, et al. ∙

research

∙ 03/11/2023

Interpretable Outlier Summarization

Outlier detection is critical in real applications to prevent financial ...

0 Yu Wang, et al. ∙

research

∙ 03/04/2023

Demystifying What Code Summarization Models Learned

Study patterns that models have learned has long been a focus of pattern...

0 Yu Wang, et al. ∙

research

∙ 02/24/2023

A Targeted Accuracy Diagnostic for Variational Approximations

Variational Inference (VI) is an attractive alternative to Markov Chain ...

0 Yu Wang, et al. ∙

research

∙ 02/20/2023

Knowledge-aware Bayesian Co-attention for Multimodal Emotion Recognition

Multimodal emotion recognition is a challenging research area that aims ...

0 Zihan Zhao, et al. ∙

research

∙ 02/11/2023

Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records

Electronic health records (EHR) often contain sensitive medical informat...

0 Bingyue Su, et al. ∙

Yu Wang

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