b'Yuan Yao'

research

∙ 06/16/2023

Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth

Communication plays a vital role in multi-agent systems, fostering colla...

0 Qingshuang Sun, et al. ∙

research

∙ 06/15/2023

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

The unprecedented performance of large language models (LLMs) necessitat...

0 Jifan Yu, et al. ∙

research

∙ 05/05/2023

Random Smoothing Regularization in Kernel Gradient Descent Learning

Random smoothing data augmentation is a unique form of regularization th...

0 Liang Ding, et al. ∙

research

∙ 05/02/2023

Transfer Visual Prompt Generator across LLMs

While developing a new vision-language LLM (VL-LLM) by pre-training on t...

0 Ao Zhang, et al. ∙

research

∙ 02/24/2023

Inducing Neural Collapse in Deep Long-tailed Learning

Although deep neural networks achieve tremendous success on various clas...

0 Xuantong Liu, et al. ∙

research

∙ 12/28/2022

Exploring Vision Transformers as Diffusion Learners

Score-based diffusion models have captured widespread attention and fund...

0 He Cao, et al. ∙

research

∙ 12/17/2022

3D Point Cloud Pre-training with Knowledge Distillation from 2D Images

The recent success of pre-trained 2D vision models is mostly attributabl...

0 Yuan Yao, et al. ∙

research

∙ 12/06/2022

Beyond Object Recognition: A New Benchmark towards Object Concept Learning

Understanding objects is a central building block of artificial intellig...

0 Yong-Lu Li, et al. ∙

research

∙ 11/22/2022

Visually Grounded Commonsense Knowledge Acquisition

Large-scale commonsense knowledge bases empower a broad range of AI appl...

0 Yuan Yao, et al. ∙

research

∙ 11/11/2022

StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding

The generation of Chinese fonts has a wide range of applications. The cu...

0 Jinshan Zeng, et al. ∙

research

∙ 10/13/2022

Demystifying Self-supervised Trojan Attacks

As an emerging machine learning paradigm, self-supervised learning (SSL)...

0 Changjiang Li, et al. ∙

research

∙ 08/13/2022

Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer

Backdoor attacks have been shown to be a serious security threat against...

2 Tong Wang, et al. ∙

research

∙ 07/06/2022

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation

Shape information is a strong and valuable prior in segmenting organs in...

30 Yuan Yao, et al. ∙

research

∙ 07/06/2022

DCT-Net: Domain-Calibrated Translation for Portrait Stylization

This paper introduces DCT-Net, a novel image translation architecture fo...

2 Yifang Men, et al. ∙

research

∙ 06/16/2022

On Private Online Convex Optimization: Optimal Algorithms in ℓ_p-Geometry and High Dimensional Contextual Bandits

Differentially private (DP) stochastic convex optimization (SCO) is ubiq...

0 Yuxuan Han, et al. ∙

research

∙ 05/25/2022

Scheduling to Optimize Sojourn Time of Successful Jobs

Deep neural networks training jobs and other iterative computations freq...

0 Yuan Yao, et al. ∙

research

∙ 05/23/2022

PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models

Vision-language pre-training (VLP) has shown impressive performance on a...

1 Yuan Yao, et al. ∙

research

∙ 05/23/2022

Prompt Tuning for Discriminative Pre-trained Language Models

Recent works have shown promising results of prompt tuning in stimulatin...

4 Yuan Yao, et al. ∙

research

∙ 04/25/2022

Gate-Level Side-Channel Leakage Assessment with Architecture Correlation Analysis

While side-channel leakage is traditionally evaluated from a fabricated ...

0 Pantea Kiaei, et al. ∙

research

∙ 04/21/2022

Detecting Topology Attacks against Graph Neural Networks

Graph neural networks (GNNs) have been widely used in many real applicat...

0 Senrong Xu, et al. ∙

research

∙ 03/22/2022

Fine-Grained Scene Graph Generation with Data Transfer

Scene graph generation (SGG) aims to extract (subject, predicate, object...

0 Ao Zhang, et al. ∙

research

∙ 03/09/2022

Structure-Aware Flow Generation for Human Body Reshaping

Body reshaping is an important procedure in portrait photo retouching. D...

9 Jianqiang Ren, et al. ∙

research

∙ 02/14/2022

Optimizing Random Mixup with Gaussian Differential Privacy

Differentially private data release receives rising attention in machine...

0 Donghao Li, et al. ∙

research

∙ 12/14/2021

Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis

Recently, generalization bounds of the non-convex empirical risk minimiz...

0 Bingzhe Wu, et al. ∙

research

∙ 11/22/2021

Backdoor Attack through Frequency Domain

Backdoor attacks have been shown to be a serious threat against deep lea...

32 Tong Wang, et al. ∙

research

∙ 11/17/2021

Early DSE and Automatic Generation of Coarse Grained Merged Accelerators

Post-Moore's law area-constrained systems rely on accelerators to delive...

0 Iulian Brumar, et al. ∙

research

∙ 09/24/2021

CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models

Pre-Trained Vision-Language Models (VL-PTMs) have shown promising capabi...

0 Yuan Yao, et al. ∙

research

∙ 08/27/2021

Dimming Down LED: An Open-source Threshold Implementation on Light Encryption Device (LED) Block Cipher

Lightweight block ciphers have been widely used in applications such as ...

0 Yuan Yao, et al. ∙

research

∙ 07/14/2021

A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer

Recurrent neural networks for language models like long short-term memor...

0 Wenqi Zeng, et al. ∙

research

∙ 07/04/2021

Real-time Detection and Adaptive Mitigation of Power-based Side-Channel Leakage in SoC

Power-based side-channel is a serious security threat to the System on C...

0 Pantea Kiaei, et al. ∙

research

∙ 06/25/2021

Programmable RO (PRO): A Multipurpose Countermeasure against Side-channel and Fault Injection Attack

Side-channel and fault injection attacks reveal secret information by mo...

0 Yuan Yao, et al. ∙

research

∙ 06/11/2021

Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution

Recent studies show that neural natural language processing (NLP) models...

0 Fanchao Qi, et al. ∙

research

∙ 06/08/2021

Efficient Estimation For The Joint Model of Survival and Longitudinal Data

In survival studies it is important to record the values of key longitud...

0 Khandoker Akib Mohammad, et al. ∙

research

∙ 05/31/2021

Image-to-Video Generation via 3D Facial Dynamics

We present a versatile model, FaceAnime, for various video generation ta...

17 Xiaoguang Tu, et al. ∙

research

∙ 03/30/2021

Controlling the False Discovery Rate in Structural Sparsity: Split Knockoffs

Controlling the False Discovery Rate (FDR) in a variable selection proce...

0 Yang Cao, et al. ∙

research

∙ 03/29/2021

Visual Distant Supervision for Scene Graph Generation

Scene graph generation aims to identify objects and their relations in i...

0 Yuan Yao, et al. ∙

research

∙ 02/22/2021

UPRec: User-Aware Pre-training for Recommender Systems

Existing sequential recommendation methods rely on large amounts of trai...

0 Chaojun Xiao, et al. ∙

research

∙ 01/01/2021

On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization

The low-rank stochastic semidefinite optimization has attracted rising a...

0 Jinshan Zeng, et al. ∙

research

∙ 12/16/2020

StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding

The generation of stylish Chinese fonts is an important problem involved...

0 Jinshan Zeng, et al. ∙

research

∙ 12/15/2020

An exact solution in Markov decision process with multiplicative rewards as a general framework

We develop an exactly solvable framework of Markov decision process with...

0 Yuan Yao, et al. ∙

research

∙ 11/08/2020

Denoising Relation Extraction from Document-level Distant Supervision

Distant supervision (DS) has been widely used to generate auto-labeled d...

0 Chaojun Xiao, et al. ∙

research

∙ 09/19/2020

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect

Recommender systems aim to provide item recommendations for users, and a...

0 Zheni Zeng, et al. ∙

research

∙ 08/17/2020

Robust Autoencoder GAN for Cryo-EM Image Denoising

The cryo-electron microscopy (Cryo-EM) becomes popular for macromolecula...

0 Hanlin Gu, et al. ∙

research

∙ 08/06/2020

Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network

Heterogeneous domain adaptation (HDA) tackles the learning of cross-doma...

7 Yuan Yao, et al. ∙

research

∙ 07/17/2020

Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space

The prediction and selection of lesion features are two important tasks ...

9 Xinwei Sun, et al. ∙

research

∙ 07/15/2020

How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning

Deep learning based models have excelled in many computer vision task an...

14 Yikai Wang, et al. ∙

research

∙ 07/04/2020

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths

Over-parameterization is ubiquitous nowadays in training neural networks...

0 Yanwei Fu, et al. ∙

research

∙ 06/24/2020

Crossmodal Language Grounding in an Embodied Neurocognitive Model

Human infants are able to acquire natural language seemingly easily at a...

5 Stefan Heinrich, et al. ∙

research

∙ 06/20/2020

Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning

In self-supervised spatio-temporal representation learning, the temporal...

11 Yuan Yao, et al. ∙

research

∙ 05/01/2020

Exploring Private Federated Learning with Laplacian Smoothing

Federated learning aims to protect data privacy by collaboratively learn...

6 Zhicong Liang, et al. ∙

Yuan Yao

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