b'Hao Liu'

research

∙ 06/28/2022

Masked World Models for Visual Control

Visual model-based reinforcement learning (RL) has the potential to enab...

Younggyo Seo, et al. ∙

research

∙ 06/25/2022

Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes

Modern object detection architectures are moving towards employing self-...

Sugirtha T, et al. ∙

research

∙ 05/31/2022

Unbiased Implicit Feedback via Bi-level Optimization

Implicit feedback is widely leveraged in recommender systems since it is...

Can Chen, et al. ∙

research

∙ 05/27/2022

Multimodal Masked Autoencoders Learn Transferable Representations

Building scalable models to learn from diverse, multimodal data remains ...

Xinyang Geng, et al. ∙

research

∙ 05/23/2022

A Fine-grained Interpretability Evaluation Benchmark for Neural NLP

While there is increasing concern about the interpretability of neural m...

Lijie Wang, et al. ∙

research

∙ 05/12/2022

Feature and Instance Joint Selection: A Reinforcement Learning Perspective

Feature selection and instance selection are two important techniques of...

Wei Fan, et al. ∙

research

∙ 05/12/2022

An Efficient Operator-Splitting Method for the Eigenvalue Problem of the Monge-Ampère Equation

We develop an efficient operator-splitting method for the eigenvalue pro...

Hao Liu, et al. ∙

research

∙ 05/07/2022

Arrhythmia Classifier using Binarized Convolutional Neural Network for Resource-Constrained Devices

Monitoring electrocardiogram signals is of great significance for the di...

Ao Wang, et al. ∙

research

∙ 05/05/2022

Low-complexity Beam Selection algorithms based on SVD for MmWave Massive MIMO Systems

To realize mmWave massive MIMO systems in practice, Beamspace MIMO with ...

Jinxing Yang, et al. ∙

research

∙ 04/18/2022

The Devil is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-Training

The self-supervised Masked Image Modeling (MIM) schema, following "mask-...

Hao Liu, et al. ∙

research

∙ 03/27/2022

Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network

Solar energetic particles (SEPs) are an essential source of space radiat...

Yasser Abduallah, et al. ∙

research

∙ 03/27/2022

Knowledge Mining with Scene Text for Fine-Grained Recognition

Recently, the semantics of scene text has been proven to be essential in...

Hao Wang, et al. ∙

research

∙ 03/18/2022

Elastica Models for Color Image Regularization

One classical approach to regularize color is to tream them as two dimen...

Hao Liu, et al. ∙

research

∙ 03/17/2022

UNIMO-2: End-to-End Unified Vision-Language Grounded Learning

Vision-Language Pre-training (VLP) has achieved impressive performance o...

Wei Li, et al. ∙

research

∙ 03/16/2022

Fast operator splitting methods for obstacle problems

The obstacle problem is a class of free boundary problems which finds ap...

Hao Liu, et al. ∙

research

∙ 03/14/2022

A Bayesian Precision Response-adaptive Phase II Clinical Trial Design for Radiotherapies with Competing Risk Survival Outcomes

Many phase II clinical trials have used survival outcomes as the primary...

Jina Park, et al. ∙

research

∙ 03/02/2022

PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling

We propose a generative adversarial network for point cloud upsampling, ...

Hao Liu, et al. ∙

research

∙ 02/27/2022

Arrhythmia Classifier Using Convolutional Neural Network with Adaptive Loss-aware Multi-bit Networks Quantization

Cardiovascular disease (CVDs) is one of the universal deadly diseases, a...

Hanshi Sun, et al. ∙

research

∙ 02/01/2022

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery

We introduce Contrastive Intrinsic Control (CIC), an algorithm for unsup...

Michael (Misha) Laskin, et al. ∙

research

∙ 01/31/2022

Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning

Recent progress in deep learning has relied on access to large and diver...

Denis Yarats, et al. ∙

research

∙ 01/29/2022

Continual Learning with Recursive Gradient Optimization

Learning multiple tasks sequentially without forgetting previous knowled...

Hao Liu, et al. ∙

research

∙ 01/01/2022

Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces

Learning operators between infinitely dimensional spaces is an important...

Hao Liu, et al. ∙

research

∙ 12/31/2021

Efficient Multi-Beam Training For Terahertz Wireless communications

Although Terahertz communication systems can provide high data rates, it...

Songjie Yang, et al. ∙

research

∙ 12/23/2021

Learning to Walk with Dual Agents for Knowledge Graph Reasoning

Graph walking based on reinforcement learning (RL) has shown great succe...

Denghui Zhang, et al. ∙

research

∙ 12/01/2021

Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment

Motivated by the success of pre-trained language models such as BERT in ...

Denghui Zhang, et al. ∙

research

∙ 11/26/2021

Neural Collaborative Graph Machines for Table Structure Recognition

Recently, table structure recognition has achieved impressive progress w...

Hao Liu, et al. ∙

research

∙ 11/25/2021

NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition

Recently, Vision Transformers (ViT), with the self-attention (SA) as the...

Hao Liu, et al. ∙

research

∙ 11/25/2021

Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark

Satellite video cameras can provide continuous observation for a large-s...

Qian Yin, et al. ∙

research

∙ 11/11/2021

Enhanced Fast Boolean Matching based on Sensitivity Signatures Pruning

Boolean matching is significant to digital integrated circuits design. A...

Jiaxi Zhang, et al. ∙

research

∙ 10/29/2021

Generalized Data Weighting via Class-level Gradient Manipulation

Label noise and class imbalance are two major issues coexisting in real-...

Can Chen, et al. ∙

research

∙ 10/28/2021

URLB: Unsupervised Reinforcement Learning Benchmark

Deep Reinforcement Learning (RL) has emerged as a powerful paradigm to s...

Michael (Misha) Laskin, et al. ∙

research

∙ 10/27/2021

Emoji-aware Co-attention Network with EmoGraph2vec Model for Sentiment Anaylsis

In social media platforms, emojis have an extremely high occurrence in c...

Xiaowei Yuan, et al. ∙

research

∙ 10/27/2021

Emoji-based Co-attention Network for Microblog Sentiment Analysis

Emojis are widely used in online social networks to express emotions, at...

Xiaowei Yuan, et al. ∙

research

∙ 10/19/2021

Spatial-Temporal Transformer for 3D Point Cloud Sequences

Effective learning of spatial-temporal information within a point cloud ...

Yimin Wei, et al. ∙

research

∙ 09/17/2021

A Multimodal Sentiment Dataset for Video Recommendation

Recently, multimodal sentiment analysis has seen remarkable advance and ...

Hongxuan Tang, et al. ∙

research

∙ 09/07/2021

Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks

Most of existing statistical theories on deep neural networks have sampl...

Hao Liu, et al. ∙

research

∙ 08/31/2021

APS: Active Pretraining with Successor Features

We introduce a new unsupervised pretraining objective for reinforcement ...

Hao Liu, et al. ∙

research

∙ 08/30/2021

DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation

While deep learning models have greatly improved the performance of most...

Lijie Wang, et al. ∙

research

∙ 08/09/2021

Knowledge accumulating: The general pattern of learning

Artificial Intelligence has been developed for decades with the achievem...

Zhuoran Xu, et al. ∙

research

∙ 08/04/2021

An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications in Surface Smoothing and Imaging

Gaussian curvature is an important geometric property of surfaces, which...

Hao Liu, et al. ∙

research

∙ 07/12/2021

MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal

Real estate appraisal refers to the process of developing an unbiased op...

Weijia Zhang, et al. ∙

research

∙ 06/08/2021

Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search

Bid optimization for online advertising from single advertiser's perspec...

Ziyu Guan, et al. ∙

research

∙ 06/03/2021

JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu

In modern internet industries, deep learning based recommender systems h...

Hao Liu, et al. ∙

research

∙ 04/30/2021

Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras

Vehicle Re-identification aims to identify a specific vehicle across tim...

Junru Chen, et al. ∙

research

∙ 03/30/2021

Multi-modal Trajectory Prediction for Autonomous Driving with Semantic Map and Dynamic Graph Attention Network

Predicting future trajectories of surrounding obstacles is a crucial tas...

Bo Dong, et al. ∙

research

∙ 03/03/2021

PML: Progressive Margin Loss for Long-tailed Age Classification

In this paper, we propose a progressive margin loss (PML) approach for u...

Zongyong Deng, et al. ∙

research

∙ 02/15/2021

Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning

Electric Vehicle (EV) has become a preferable choice in the modern trans...

Weijia Zhang, et al. ∙

research

∙ 01/29/2021

Out-of-Town Recommendation with Travel Intention Modeling

Out-of-town recommendation is designed for those users who leave their h...

Haoran Xin, et al. ∙

research

∙ 01/28/2021

CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation

Electric vehicles have been rapidly increasing in usage, but stations to...

Carter Blum, et al. ∙

research

∙ 01/17/2021

Disentangling Observed Causal Effects from Latent Confounders using Method of Moments

Discovering the complete set of causal relations among a group of variab...

Anqi Liu, et al. ∙

Hao Liu

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