b'Wei Yang'

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. ∙

research

∙ 01/13/2021

F3SNet: A Four-Step Strategy for QIM Steganalysis of Compressed Speech Based on Hierarchical Attention Network

Traditional machine learning-based steganalysis methods on compressed sp...

Chuanpeng Guo, et al. ∙

research

∙ 12/30/2020

Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing

Due to the common belief that training deep transformers from scratch re...

Peng Xu, et al. ∙

research

∙ 12/18/2020

Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search

Hero drafting is essential in MOBA game playing as it builds the team of...

Sheng Chen, et al. ∙

research

∙ 12/01/2020

RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Keypoints for Indoor Localization

Image keypoint extraction is an important step for visual localization. ...

Dongjiang Li, et al. ∙

research

∙ 11/25/2020

Towards Playing Full MOBA Games with Deep Reinforcement Learning

MOBA games, e.g., Honor of Kings, League of Legends, and Dota 2, pose gr...

Deheng Ye, et al. ∙

research

∙ 11/25/2020

Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings

We present JueWu-SL, the first supervised-learning-based artificial inte...

Deheng Ye, et al. ∙

research

∙ 11/17/2020

Reactive Human-to-Robot Handovers of Arbitrary Objects

Human-robot object handovers have been an actively studied area of robot...

Wei Yang, et al. ∙

research

∙ 08/12/2020

DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features

A robust and efficient Simultaneous Localization and Mapping (SLAM) syst...

Dongjiang Li, et al. ∙

research

∙ 07/03/2020

Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

Current multi-object tracking and segmentation (MOTS) methods follow the...

Zhenbo Xu, et al. ∙

research

∙ 07/03/2020

PointTrack++ for Effective Online Multi-Object Tracking and Segmentation

Multiple-object tracking and segmentation (MOTS) is a novel computer vis...

Zhenbo Xu, et al. ∙

research

∙ 04/16/2020

Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation

Deformation field estimation is an important and challenging issue in ma...

Yujia Zhou, et al. ∙

research

∙ 03/12/2020

Human Grasp Classification for Reactive Human-to-Robot Handovers

Transfer of objects between humans and robots is a critical capability f...

Wei Yang, et al. ∙

research

∙ 03/01/2020

ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection

3D object detection is an essential task in autonomous driving and robot...

Zhenbo Xu, et al. ∙

research

∙ 02/14/2020

Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language Models

There has been a long recognition that discrete features (n-gram feature...

Silin Gao, et al. ∙

research

∙ 02/05/2020

Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents

Techniques for automatically extracting important content elements from ...

Ruixue Zhang, et al. ∙

research

∙ 11/13/2019

Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM

Service robots should be able to operate autonomously in dynamic and dai...

Xuesong Shi, et al. ∙

research

∙ 10/31/2019

Multi-Stage Document Ranking with BERT

The advent of deep neural networks pre-trained via language modeling tas...

Rodrigo Nogueira, et al. ∙

research

∙ 10/28/2019

Massive Access for Future Wireless Communication Systems

Multiple access technology plays an important role in wireless communica...

Yongpeng Wu, et al. ∙

research

∙ 10/10/2019

Trajectory Optimization for Coordinated Human-Robot Collaboration

Effective human-robot collaboration requires informed anticipation. The ...

Adam Fishman, et al. ∙

research

∙ 10/07/2019

DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System

Teleoperation offers the possibility of imparting robotic systems with s...

Ankur Handa, et al. ∙

research

∙ 08/14/2019

Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability

Voting plays a central role in bringing crowd wisdom to collective decis...

Shaowei Wang, et al. ∙

research

∙ 04/19/2019

Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models

Is neural IR mostly hype? In a recent SIGIR Forum article, Lin expressed...

Wei Yang, et al. ∙

research

∙ 04/17/2019

Document Expansion by Query Prediction

One technique to improve the retrieval effectiveness of a search engine ...

Rodrigo Nogueira, et al. ∙

research

∙ 04/14/2019

Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering

Recently, a simple combination of passage retrieval using off-the-shelf ...

Wei Yang, et al. ∙

research

∙ 03/26/2019

Simple Applications of BERT for Ad Hoc Document Retrieval

Following recent successes in applying BERT to question answering, we ex...

Wei Yang, et al. ∙

research

∙ 02/08/2019

Building Secure SRAM PUF Key Generators on Resource Constrained Devices

A securely maintained key is the premise upon which data stored and tran...

Yansong Gao, et al. ∙

research

∙ 02/05/2019

End-to-End Open-Domain Question Answering with BERTserini

We demonstrate an end-to-end question answering system that integrates B...

Wei Yang, et al. ∙

research

∙ 02/01/2019

A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings

Learning word embeddings has received a significant amount of attention ...

Wei Yang, et al. ∙

research

∙ 12/19/2018

Hierarchical Macro Strategy Model for MOBA Game AI

The next challenge of game AI lies in Real Time Strategy (RTS) games. RT...

Qiang Fu, et al. ∙

research

∙ 11/17/2018

Attention-based Walking Gait and Direction Recognition in Wi-Fi Networks

The study of human gait recognition has been becoming an active research...

Yang Xu, et al. ∙

Wei Yang

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