b'Kai Li'

research

∙ 05/31/2023

Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model

We propose Audio-Visual Lightweight ITerative model (AVLIT), an effectiv...

0 Héctor Martel, et al. ∙

research

∙ 05/24/2023

Privacy Implications of Retrieval-Based Language Models

Retrieval-based language models (LMs) have demonstrated improved interpr...

0 Yangsibo Huang, et al. ∙

research

∙ 05/24/2023

PruMUX: Augmenting Data Multiplexing with Model Compression

As language models increase in size by the day, methods for efficient in...

0 Yushan Su, et al. ∙

research

∙ 05/18/2023

Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping

Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment ...

0 Chunming He, et al. ∙

research

∙ 04/25/2023

Exploring Compositional Visual Generation with Latent Classifier Guidance

Diffusion probabilistic models have achieved enormous success in the fie...

0 Changhao Shi, et al. ∙

research

∙ 04/21/2023

Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation

Semi-Supervised Domain Adaptation (SSDA) is a recently emerging research...

0 mengqun Jin, et al. ∙

research

∙ 03/29/2023

PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery

Satellite imagery analysis plays a vital role in remote sensing, but the...

0 Xuechao Zou, et al. ∙

research

∙ 03/24/2023

Conditional Image-to-Video Generation with Latent Flow Diffusion Models

Conditional image-to-video (cI2V) generation aims to synthesize a new pl...

0 Haomiao Ni, et al. ∙

research

∙ 01/27/2023

A Learned Cache Eviction Framework with Minimal Overhead

Recent work shows the effectiveness of Machine Learning (ML) to reduce c...

0 Dongsheng Yang, et al. ∙

research

∙ 01/25/2023

Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection

In the surface defect detection, there are some suspicious regions that ...

0 Tongzhi Niu, et al. ∙

research

∙ 01/11/2023

Adversarial Alignment for Source Free Object Detection

Source-free object detection (SFOD) aims to transfer a detector pre-trai...

0 Qiaosong Chu, et al. ∙

research

∙ 12/24/2022

Efficiently Hardening SGX Enclaves against Memory Access Pattern Attacks via Dynamic Program Partitioning

Intel SGX is known to be vulnerable to a class of practical attacks expl...

0 Yuzhe Tang, et al. ∙

research

∙ 12/21/2022

An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits

Audio-visual approaches involving visual inputs have laid the foundation...

0 Kai Li, et al. ∙

research

∙ 12/07/2022

SSDNeRF: Semantic Soft Decomposition of Neural Radiance Fields

Neural Radiance Fields (NeRFs) encode the radiance in a scene parameteri...

0 Siddhant Ranade, et al. ∙

research

∙ 11/07/2022

Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey

The ongoing amalgamation of UAV and ML techniques is creating a signific...

0 Harrison Kurunathan, et al. ∙

research

∙ 09/30/2022

An efficient encoder-decoder architecture with top-down attention for speech separation

Deep neural networks have shown excellent prospects in speech separation...

0 Kai Li, et al. ∙

research

∙ 09/08/2022

A Review on Method Entities in the Academic Literature: Extraction, Evaluation, and Application

In scientific research, the method is an indispensable means to solve sc...

0 Yuzhuo Wang, et al. ∙

research

∙ 08/29/2022

When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds

In recent years, the Internet of Things (IoT) is studied in the context ...

0 Kai Li, et al. ∙

research

∙ 07/26/2022

Reconstruction of inhomogeneous media by iterative reconstruction algorithm with learned projector

This paper is concerned with the inverse problem of scattering of time-h...

0 Kai Li, et al. ∙

research

∙ 07/17/2022

Robust Transmission Scheduling for UAV-assisted Millimeter-Wave Train-Ground Communication System

With the explosive growth of mobile data, the demand of high-speed railw...

0 Yunhan Ma, et al. ∙

research

∙ 06/30/2022

Designs, Motion Mechanism, Motion Coordination, and Communication of Bionic Robot Fishes: A Survey

In the last few years, there have been many new developments and signifi...

0 Zhiwei Yu, et al. ∙

research

∙ 06/15/2022

On the Use of Deep Mask Estimation Module for Neural Source Separation Systems

Most of the recent neural source separation systems rely on a masking-ba...

0 Kai Li, et al. ∙

research

∙ 06/15/2022

On the Design and Training Strategies for RNN-based Online Neural Speech Separation Systems

While the performance of offline neural speech separation systems has be...

0 Kai Li, et al. ∙

research

∙ 05/20/2022

6G Network AI Architecture for Everyone-Centric Customized Services

Mobile communication standards were developed for enhancing transmission...

0 Yang Yang, et al. ∙

research

∙ 05/17/2022

Recovering Private Text in Federated Learning of Language Models

Federated learning allows distributed users to collaboratively train a m...

6 Samyak Gupta, et al. ∙

research

∙ 04/13/2022

Fast Few-shot Debugging for NLU Test Suites

We study few-shot debugging of transformer based natural language unders...

0 Christopher Malon, et al. ∙

research

∙ 03/29/2022

StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis

Although progress has been made for text-to-image synthesis, previous me...

0 Zhiheng Li, et al. ∙

research

∙ 03/20/2022

Data sharing practices across knowledge domains: a dynamic examination of data availability statements in PLOS ONE publications

As the importance of research data gradually grows in sciences, data sha...

0 Chenyue Jiao, et al. ∙

research

∙ 02/15/2022

Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in EdgeIoT

Federated learning (FL) has been increasingly considered to preserve dat...

0 Jingjing Zheng, et al. ∙

research

∙ 01/31/2022

Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism

Nearest Neighbor Search (NNS) has recently drawn a rapid increase of int...

0 Zhen Peng, et al. ∙

research

∙ 12/04/2021

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network

Recent advances in the design of neural network architectures, in partic...

0 Xiaolin Hu, et al. ∙

research

∙ 11/30/2021

Evaluating Gradient Inversion Attacks and Defenses in Federated Learning

Gradient inversion attack (or input recovery from gradient) is an emergi...

1 Yangsibo Huang, et al. ∙

research

∙ 09/30/2021

TopoShot: Uncovering Ethereum's Network Topology Leveraging Replacement Transactions

Ethereum relies on a peer-to-peer overlay network to propagate informati...

0 Kai Li, et al. ∙

research

∙ 09/13/2021

CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection

Pixel-wise crack detection is a challenging task because of poor continu...

0 Kai Li, et al. ∙

research

∙ 09/08/2021

EMA: Auditing Data Removal from Trained Models

Data auditing is a process to verify whether certain data have been remo...

11 Yangsibo Huang, et al. ∙

research

∙ 07/06/2021

Plot2Spectra: an Automatic Spectra Extraction Tool

Different types of spectroscopies, such as X-ray absorption near edge st...

10 Weixin Jiang, et al. ∙

research

∙ 06/29/2021

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function

Numerous detection problems in computer vision, including road crack det...

4 Kai Li, et al. ∙

research

∙ 06/16/2021

iBatch: Saving Ethereum Fees via Secure and Cost-Effective Batching of Smart-Contract Invocations

This paper presents iBatch, a middleware system running on top of an ope...

0 Yibo Wang, et al. ∙

research

∙ 06/02/2021

The data paper as a socio-linguistic epistemic object: A content analysis on the rhetorical moves used in data paper abstracts

The data paper is an emerging academic genre that focuses on the descrip...

0 Kai Li, et al. ∙

research

∙ 06/01/2021

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment

Extending transfer learning to cooperative multi-agent reinforcement lea...

0 Tianze Zhou, et al. ∙

research

∙ 04/19/2021

Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning

Domain adaptation enhances generalizability of a model across domains wi...

0 Kai Li, et al. ∙

research

∙ 04/18/2021

RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks

Cross-Domain Detection (XDD) aims to train an object detector using labe...

0 Kai Li, et al. ∙

research

∙ 03/29/2021

Visuality in a Cross-disciplinary Battleground: Analysis of Inscriptions in Digital Humanities Journal Publications

Like the old saying, "a graph is worth a thousand words," the non-verbal...

0 Rongqian Ma, et al. ∙

research

∙ 02/18/2021

L2E: Learning to Exploit Your Opponent

Opponent modeling is essential to exploit sub-optimal opponents in strat...

0 Zhe Wu, et al. ∙

research

∙ 02/10/2021

VINS: Visual Search for Mobile User Interface Design

Searching for relative mobile user interface (UI) design examples can ai...

0 Sara Bunian, et al. ∙

research

∙ 01/20/2021

Bridge the Vision Gap from Field to Command: A Deep Learning Network Enhancing Illumination and Details

With the goal of tuning up the brightness, low-light image enhancement e...

6 Zhuqing Jiang, et al. ∙

research

∙ 01/04/2021

Shed Various Lights on a Low-Light Image: Multi-Level Enhancement Guided by Arbitrary References

It is suggested that low-light image enhancement realizes one-to-many ma...

0 Ya'nan Wang, et al. ∙

research

∙ 12/11/2020

OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research

Owning to the unremitting efforts by a few institutes, significant progr...

0 Kai Li, et al. ∙

research

∙ 11/12/2020

DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio

Vehicle Re-identification (ReID) is an important yet challenging problem...

0 Jiangtao Kong, et al. ∙

research

∙ 11/10/2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline

This paper reviews the second AIM learned ISP challenge and provides the...

0 Andrey Ignatov, et al. ∙

Kai Li

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