b'Kai Zhang'

research

∙ 09/21/2023

Memory-Augmented LLM Personalization with Short- and Long-Term Memory Coordination

Large Language Models (LLMs), such as GPT3.5, have exhibited remarkable ...

0 Kai Zhang, et al. ∙

research

∙ 07/19/2023

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...

0 Xiaohong Liu, et al. ∙

research

∙ 06/16/2023

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing

Text-guided image editing is widely needed in daily life, ranging from p...

0 Kai Zhang, et al. ∙

research

∙ 06/08/2023

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs

This paper introduces FedMLSecurity, a benchmark that simulates adversar...

7 Shanshan Han, et al. ∙

research

∙ 06/02/2023

A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution

Reference-based super-resolution (RefSR) has gained considerable success...

0 Xiaoyong Mei, et al. ∙

research

∙ 05/30/2023

Decomposed Human Motion Prior for Video Pose Estimation via Adversarial Training

Estimating human pose from video is a task that receives considerable at...

0 Wenshuo Chen, et al. ∙

research

∙ 05/24/2023

PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology

As advances in large language models (LLMs) and multimodal techniques co...

7 Yuxuan Sun, et al. ∙

research

∙ 05/22/2023

Adaptive Chameleon or Stubborn Sloth: Unraveling the Behavior of Large Language Models in Knowledge Clashes

By providing external information to large language models (LLMs), tool ...

0 Jian Xie, et al. ∙

research

∙ 05/19/2023

Equivariant Multi-Modality Image Fusion

Multi-modality image fusion is a technique used to combine information f...

0 Zixiang Zhao, et al. ∙

research

∙ 05/18/2023

Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors

Recent work has shown that fine-tuning large language models (LLMs) on l...

0 Kai Zhang, et al. ∙

research

∙ 05/15/2023

Denoising Diffusion Models for Plug-and-Play Image Restoration

Plug-and-play Image Restoration (IR) has been widely recognized as a fle...

0 Yuanzhi Zhu, et al. ∙

research

∙ 05/10/2023

Automatic Evaluation of Attribution by Large Language Models

A recent focus of large language model (LLM) development, as exemplified...

0 Xiang Yue, et al. ∙

research

∙ 04/30/2023

Sensitive Data Detection with High-Throughput Machine Learning Models in Electrical Health Records

In the era of big data, there is an increasing need for healthcare provi...

0 Kai Zhang, et al. ∙

research

∙ 04/26/2023

Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation

Multi-view image generation attracts particular attention these days due...

0 Eric Ming Chen, et al. ∙

research

∙ 04/17/2023

A Scalable Test Problem Generator for Sequential Transfer Optimization

Sequential transfer optimization (STO), which aims to improve optimizati...

0 Xiaoming Xue, et al. ∙

research

∙ 04/14/2023

Exploring Causes of Demographic Variations In Face Recognition Accuracy

In recent years, media reports have called out bias and racism in face r...

0 Gabriella Pangelinan, et al. ∙

research

∙ 04/08/2023

Predicting multiple sclerosis disease severity with multimodal deep neural networks

Multiple Sclerosis (MS) is a chronic disease developed in human brain an...

0 Kai Zhang, et al. ∙

research

∙ 04/05/2023

A Transformer-Based Deep Learning Approach for Fairly Predicting Post-Liver Transplant Risk Factors

Liver transplantation is a life-saving procedure for patients with end-s...

0 Can Li, et al. ∙

research

∙ 03/30/2023

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant

Organ transplant is the essential treatment method for some end-stage di...

0 Sirui Ding, et al. ∙

research

∙ 03/24/2023

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint

Clinical trials are indispensable in developing new treatments, but they...

0 Chia-Yuan Chang, et al. ∙

research

∙ 03/18/2023

Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning

Task semantics can be expressed by a set of input-to-output examples or ...

0 Renze Lou, et al. ∙

research

∙ 03/13/2023

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

Multi-modality image fusion aims to combine different modalities to prod...

0 Zixiang Zhao, et al. ∙

research

∙ 03/10/2023

QVRF: A Quantization-error-aware Variable Rate Framework for Learned Image Compression

Learned image compression has exhibited promising compression performanc...

0 Kedeng Tong, et al. ∙

research

∙ 03/08/2023

Memory-adaptive Depth-wise Heterogenous Federated Learning

Federated learning is a promising paradigm that allows multiple clients ...

0 Kai Zhang, et al. ∙

research

∙ 03/05/2023

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation

The volume of open-source biomedical data has been essential to the deve...

0 Yixin Liu, 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

∙ 02/18/2023

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning

Liver transplant is an essential therapy performed for severe liver dise...

16 Sirui Ding, et al. ∙

research

∙ 02/18/2023

Backdoor Attacks to Pre-trained Unified Foundation Models

The rise of pre-trained unified foundation models breaks down the barrie...

0 Zenghui Yuan, et al. ∙

research

∙ 02/17/2023

Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks

Multiple recent studies show a paradox in graph convolutional networks (...

0 Acong Zhang, et al. ∙

research

∙ 01/12/2023

Event-Based Frame Interpolation with Ad-hoc Deblurring

The performance of video frame interpolation is inherently correlated wi...

0 Lei Sun, et al. ∙

research

∙ 12/08/2022

GreenEyes: An Air Quality Evaluating Model based on WaveNet

Accompanying rapid industrialization, humans are suffering from serious ...

0 Kan Huang, et al. ∙

research

∙ 10/30/2022

Changes from Classical Statistics to Modern Statistics and Data Science

A coordinate system is a foundation for every quantitative science, engi...

0 Kai Zhang, et al. ∙

research

∙ 10/19/2022

BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models

Two linearly uncorrelated binary variables must be also independent beca...

0 Benjamin Brown, et al. ∙

research

∙ 09/16/2022

DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data

Multivariate time series(MTS) is a universal data type related to many p...

0 Kai Zhang, et al. ∙

research

∙ 08/29/2022

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval

Retrieval models based on dense representations in semantic space have b...

0 Kai Zhang, et al. ∙

research

∙ 08/23/2022

Query-Response Interactions by Multi-tasks in Semantic Search for Chatbot Candidate Retrieval

Semantic search for candidate retrieval is an important yet neglected pr...

0 Libin Shi, et al. ∙

research

∙ 08/02/2022

Unified Normalization for Accelerating and Stabilizing Transformers

Solid results from Transformers have made them prevailing architectures ...

0 Qiming Yang, et al. ∙

research

∙ 07/25/2022

Reference-based Image Super-Resolution with Deformable Attention Transformer

Reference-based image super-resolution (RefSR) aims to exploit auxiliary...

0 Jiezhang Cao, et al. ∙

research

∙ 06/21/2022

Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss

Learning-based multi-view stereo (MVS) methods have made impressive prog...

2 Yikang Ding, et al. ∙

research

∙ 06/18/2022

Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation

We consider a federated representation learning framework, where with th...

0 Jiaxiang Tang, et al. ∙

research

∙ 06/13/2022

ARF: Artistic Radiance Fields

We present a method for transferring the artistic features of an arbitra...

0 Kai Zhang, et al. ∙

research

∙ 06/05/2022

Recurrent Video Restoration Transformer with Guided Deformable Attention

Video restoration aims at restoring multiple high-quality frames from mu...

4 Jingyun Liang, et al. ∙

research

∙ 06/01/2022

MORE: A Metric Learning Based Framework for Open-domain Relation Extraction

Open relation extraction (OpenRE) is the task of extracting relation sch...

0 Yutong Wang, et al. ∙

research

∙ 05/28/2022

WT-MVSNet: Window-based Transformers for Multi-view Stereo

Recently, Transformers were shown to enhance the performance of multi-vi...

0 Jinli Liao, et al. ∙

research

∙ 05/23/2022

UnifieR: A Unified Retriever for Large-Scale Retrieval

Large-scale retrieval is to recall relevant documents from a huge collec...

0 Tao Shen, et al. ∙

research

∙ 05/18/2022

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation

Sequential recommendation (SR) aims to model users' dynamic preferences ...

0 Juyong Jiang, et al. ∙

research

∙ 05/18/2022

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification

Cross-domain sentiment classification (CDSC) aims to use the transferabl...

1 Kai Zhang, et al. ∙

research

∙ 05/08/2022

Adversarial Learning of Hard Positives for Place Recognition

Image retrieval methods for place recognition learn global image descrip...

0 Wenxuan Fang, et al. ∙

research

∙ 04/26/2022

Discussion of Multiscale Fisher's Independence Test for Multivariate Dependence

The multiscale Fisher's independence test (MULTIFIT hereafter) proposed ...

0 Duyeol Lee, et al. ∙

research

∙ 04/25/2022

ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching

Graph Neural Networks (GNNs) with attention have been successfully appli...

20 Yan Shi, et al. ∙

Kai Zhang

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