b'Wei Yang'

research

∙ 09/18/2023

Progressive Text-to-Image Diffusion with Soft Latent Direction

In spite of the rapidly evolving landscape of text-to-image generation, ...

0 Yuteng Ye, et al. ∙

research

∙ 09/12/2023

RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models

Recent advancements in language models (LMs) have gained substantial att...

0 Yufei Li, et al. ∙

research

∙ 08/19/2023

DiffusionTrack: Diffusion Model For Multi-Object Tracking

Multi-object tracking (MOT) is a challenging vision task that aims to de...

0 Run Luo, et al. ∙

research

∙ 08/17/2023

Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks

Deep Neural Networks (DNNs) have been used to solve different day-to-day...

0 Mirazul Haque, et al. ∙

research

∙ 07/23/2023

Testing Hateful Speeches against Policies

In the recent years, many software systems have adopted AI techniques, e...

0 Jiangrui Zheng, et al. ∙

research

∙ 07/22/2023

MIMONet: Multi-Input Multi-Output On-Device Deep Learning

Future intelligent robots are expected to process multiple inputs simult...

0 Zexin Li, et al. ∙

research

∙ 07/11/2023

DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization

DL compiler's primary function is to translate DNN programs written in h...

0 Simin Chen, et al. ∙

research

∙ 07/10/2023

RLTF: Reinforcement Learning from Unit Test Feedback

The goal of program synthesis, or code generation, is to generate execut...

0 Jiate Liu, et al. ∙

research

∙ 06/28/2023

DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy

Treatment planning is a critical component of the radiotherapy workflow,...

0 Yiwen Zhang, et al. ∙

research

∙ 06/16/2023

C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction

There is an emerging effort to combine the two popular technical paths, ...

0 Luoyuan Xu, et al. ∙

research

∙ 06/01/2023

SlothSpeech: Denial-of-service Attack Against Speech Recognition Models

Deep Learning (DL) models have been popular nowadays to execute differen...

0 Mirazul Haque, et al. ∙

research

∙ 05/26/2023

Future-conditioned Unsupervised Pretraining for Decision Transformer

Recent research in offline reinforcement learning (RL) has demonstrated ...

0 Zhihui Xie, et al. ∙

research

∙ 05/20/2023

Dynamic Transformers Provide a False Sense of Efficiency

Despite much success in natural language processing (NLP), pre-trained l...

0 Yiming Chen, et al. ∙

research

∙ 05/08/2023

HACK: Learning a Parametric Head and Neck Model for High-fidelity Animation

Significant advancements have been made in developing parametric models ...

0 Longwen Zhang, et al. ∙

research

∙ 05/06/2023

Bézout Subresultants for Univariate Polynomials in General Basis

Subresultant is a powerful tool for developing various algorithms in com...

0 Jing Yang, et al. ∙

research

∙ 04/19/2023

ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling

The research fields of parametric face models and 3D face reconstruction...

0 Kai Yang, et al. ∙

research

∙ 04/10/2023

Differentially Private Numerical Vector Analyses in the Local and Shuffle Model

Numerical vector aggregation plays a crucial role in privacy-sensitive a...

0 Shaowei Wang, et al. ∙

research

∙ 04/07/2023

Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition

Due to Synthetic Aperture Radar (SAR) imaging characteristics, SAR vehic...

0 Weijie Li, et al. ∙

research

∙ 04/03/2023

NeMF: Inverse Volume Rendering with Neural Microflake Field

Recovering the physical attributes of an object's appearance from its im...

0 Youjia Zhang, et al. ∙

research

∙ 04/03/2023

Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR

In recent years, deep learning has been widely used in SAR ATR and achie...

0 Weijie Li, et al. ∙

research

∙ 03/30/2023

Learning Human-to-Robot Handovers from Point Clouds

We propose the first framework to learn control policies for vision-base...

0 Sammy Christen, et al. ∙

research

∙ 02/10/2023

Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection

Learning discriminative features for effectively separating abnormal eve...

0 Hang Zhou, et al. ∙

research

∙ 02/05/2023

Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization

Recent success in Deep Reinforcement Learning (DRL) methods has shown th...

0 Zichuan Lin, et al. ∙

research

∙ 01/26/2023

Compact Transformer Tracker with Correlative Masked Modeling

Transformer framework has been showing superior performances in visual o...

0 Zikai Song, et al. ∙

research

∙ 01/20/2023

Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning

We revisit the estimation bias in policy gradients for the discounted ep...

0 Haoxuan Pan, et al. ∙

research

∙ 12/04/2022

RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning

Whole-slide images (WSI) in computational pathology have high resolution...

27 Boxuan Zhao, et al. ∙

research

∙ 11/27/2022

Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification

Occluded person re-identification (ReID) is a challenging problem due to...

0 Yuteng Ye, et al. ∙

research

∙ 10/24/2022

Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation

Dexterous robotic hands have the capability to interact with a wide vari...

0 Zoey Qiuyu Chen, et al. ∙

research

∙ 10/21/2022

Energy Efficiency of Massive Random Access in MIMO Quasi-Static Rayleigh Fading Channels with Finite Blocklength

This paper considers the massive random access problem in MIMO quasi-sta...

0 Junyuan Gao, et al. ∙

research

∙ 10/14/2022

TestAug: A Framework for Augmenting Capability-based NLP Tests

The recently proposed capability-based NLP testing allows model develope...

0 Guanqun Yang, et al. ∙

research

∙ 10/10/2022

DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks

Today, an increasing number of Adaptive Deep Neural Networks (AdNNs) are...

0 Simin Chen, et al. ∙

research

∙ 10/08/2022

Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth Estimation

Monocular depth estimation (MDE) in the self-supervised scenario has eme...

0 Peizhe Jiang, et al. ∙

research

∙ 10/07/2022

NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems

Neural Machine Translation (NMT) systems have received much recent atten...

0 Simin Chen, et al. ∙

research

∙ 09/28/2022

DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations

Teaching a multi-fingered dexterous robot to grasp objects in the real w...

4 Zoey Qiuyu Chen, et al. ∙

research

∙ 09/21/2022

Revisiting Discrete Soft Actor-Critic

We study the adaption of soft actor-critic (SAC) from continuous action ...

0 Haibin Zhou, et al. ∙

research

∙ 09/01/2022

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization

A key challenge of continual reinforcement learning (CRL) in dynamic env...

2 Tiantian Zhang, et al. ∙

research

∙ 07/27/2022

Fine-grained Private Knowledge Distillation

Knowledge distillation has emerged as a scalable and effective way for p...

0 Shaowei Wang, et al. ∙

research

∙ 07/20/2022

MLMSA: Multi-Label Multi-Side-Channel-Information enabled Deep Learning Attacks on APUF Variants

To improve the modeling resilience of silicon strong physical unclonable...

0 Yansong Gao, et al. ∙

research

∙ 06/29/2022

Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions

The pipeline of current robotic pick-and-place methods typically consist...

8 Yun-Chun Chen, et al. ∙

research

∙ 05/20/2022

Learning to Reverse DNNs from AI Programs Automatically

With the privatization deployment of DNNs on edge devices, the security ...

0 Simin Chen, et al. ∙

research

∙ 05/19/2022

HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers

We introduce a new simulation benchmark "HandoverSim" for human-to-robot...

17 Yu-Wei Chao, et al. ∙

research

∙ 05/08/2022

Transformer Tracking with Cyclic Shifting Window Attention

Transformer architecture has been showing its great strength in visual o...

0 Zikai Song, 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

∙ 04/19/2022

CorrGAN: Input Transformation Technique Against Natural Corruptions

Because of the increasing accuracy of Deep Neural Networks (DNNs) on dif...

0 Mirazul Haque, et al. ∙

research

∙ 03/31/2022

Model Predictive Control for Fluid Human-to-Robot Handovers

Human-robot handover is a fundamental yet challenging task in human-robo...

8 Wei Yang, et al. ∙

research

∙ 03/29/2022

NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models

Neural image caption generation (NICG) models have received massive atte...

0 Simin Chen, et al. ∙

research

∙ 03/08/2022

NeReF: Neural Refractive Field for Fluid Surface Reconstruction and Implicit Representation

Existing neural reconstruction schemes such as Neural Radiance Field (Ne...

2 Ziyu Wang, et al. ∙

research

∙ 02/17/2022

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned

Reinforcement learning competitions advance the field by providing appro...

0 Anssi Kanervisto, et al. ∙

research

∙ 02/17/2022

Multi-Modal Fusion in Contact-Rich Precise Tasks via Hierarchical Policy Learning

Combined visual and force feedback play an essential role in contact-ric...

0 Piaopiao Jin, et al. ∙

research

∙ 02/12/2022

NeuVV: Neural Volumetric Videos with Immersive Rendering and Editing

Some of the most exciting experiences that Metaverse promises to offer, ...

0 Jiakai Zhang, et al. ∙

Wei Yang

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