b'Wei Yang'

research

∙ 01/26/2023

Compact Transformer Tracker with Correlative Masked Modeling

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

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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 ...

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...

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...

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...

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...

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 ...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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, ...

Jiakai Zhang, et al. ∙

research

∙ 02/12/2022

EREBA: Black-box Energy Testing of Adaptive Neural Networks

Recently, various Deep Neural Network (DNN) models have been proposed fo...

Mirazul Haque, et al. ∙

research

∙ 02/11/2022

Artemis: Articulated Neural Pets with Appearance and Motion synthesis

We, humans, are entering into a virtual era and indeed want to bring ani...

Haimin Luo, et al. ∙

research

∙ 02/11/2022

Video-driven Neural Physically-based Facial Asset for Production

Production-level workflows for producing convincing 3D dynamic human fac...

Longwen Zhang, et al. ∙

research

∙ 01/01/2022

Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller

Gaits and transitions are key components in legged locomotion. For legge...

Yecheng Shao, et al. ∙

research

∙ 12/07/2021

JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning

Learning rational behaviors in open-world games like Minecraft remains t...

Zichuan Lin, et al. ∙

research

∙ 12/06/2021

HumanNeRF: Generalizable Neural Human Radiance Field from Sparse Inputs

Recent neural human representations can produce high-quality multi-view ...

Fuqiang Zhao, et al. ∙

research

∙ 12/04/2021

Hierarchical Neural Data Synthesis for Semantic Parsing

Semantic parsing datasets are expensive to collect. Moreover, even the q...

Wei Yang, et al. ∙

research

∙ 11/23/2021

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning

Labels are costly and sometimes unreliable. Noisy label learning, semi-s...

Xin Zhang, et al. ∙

research

∙ 11/09/2021

Learning Perceptual Concepts by Bootstrapping from Human Queries

Robots need to be able to learn concepts from their users in order to ad...

Andreea Bobu, et al. ∙

research

∙ 10/03/2021

Design and Evaluate Recomposited OR-AND-XOR-PUF

Physical Unclonable Function (PUF) is a hardware security primitive with...

Jianrong Yao, et al. ∙

research

∙ 07/23/2021

Estimating Predictive Uncertainty Under Program Data Distribution Shift

Deep learning (DL) techniques have achieved great success in predictive ...

Yufei Li, et al. ∙

research

∙ 07/08/2021

Obfuscation-resilient Android Malware Analysis Based on Contrastive Learning

Due to its open-source nature, Android operating system has been the mai...

Yueming Wu, et al. ∙

research

∙ 06/19/2021

GLIB: Towards Automated Test Oracle for Graphically-Rich Applications

Graphically-rich applications such as games are ubiquitous with attracti...

Ke Chen, et al. ∙

research

∙ 06/19/2021

Boosting Offline Reinforcement Learning with Residual Generative Modeling

Offline reinforcement learning (RL) tries to learn the near-optimal poli...

Hua Wei, et al. ∙

research

∙ 06/14/2021

SynthASR: Unlocking Synthetic Data for Speech Recognition

End-to-end (E2E) automatic speech recognition (ASR) models have recently...

Amin Fazel, et al. ∙

research

∙ 06/08/2021

Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface

A natural language database interface (NLDB) can democratize data-driven...

Peng Xu, et al. ∙

research

∙ 06/07/2021

A Globally Normalized Neural Model for Semantic Parsing

In this paper, we propose a globally normalized model for context-free g...

Chenyang Huang, et al. ∙

research

∙ 05/13/2021

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

In Goal-oriented Reinforcement learning, relabeling the raw goals in pas...

Menghui Zhu, et al. ∙

research

∙ 04/23/2021

SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos

Markerless motion capture and understanding of professional non-daily hu...

Xin Chen, et al. ∙

research

∙ 04/09/2021

DexYCB: A Benchmark for Capturing Hand Grasping of Objects

We introduce DexYCB, a new dataset for capturing hand grasping of object...

Yu-Wei Chao, et al. ∙

research

∙ 03/24/2021

Envelope Methods with Ignorable Missing Data

Envelope method was recently proposed as a method to reduce the dimensio...

Linquan Ma, et al. ∙

research

∙ 03/03/2021

An Empirical Analysis of UI-based Flaky Tests

Flaky tests have gained attention from the research community in recent ...

Alan Romano, et al. ∙

research

∙ 02/12/2021

Speculating Ineffective UI Exploration via Trace Analysis

With the prosperity of mobile apps, quality assurance of mobile apps bec...

Wenyu Wang, et al. ∙

Wei Yang

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