Hao Wu

Masked Face Recognition Dataset and Application

In order to effectively prevent the spread of COVID-19 virus, almost eve...
03/20/2020 ∙ by Zhongyuan Wang, et al. ∙ 77 ∙ share

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Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN

This paper proposes a novel automatically generating image masks method ...
03/03/2020 ∙ by Hao Wu, et al. ∙ 23 ∙ share

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Structured Multi-Hashing for Model Compression

Despite the success of deep neural networks (DNNs), state-of-the-art mod...
11/25/2019 ∙ by Elad Eban, et al. ∙ 19 ∙ share

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Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations

We propose the Unified Visual-Semantic Embeddings (Unified VSE) for lear...
04/11/2019 ∙ by Hao Wu, et al. ∙ 18 ∙ share

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Boltzmann Generators - Sampling Equilibrium States of Many-Body Systems with Deep Learning

Computing equilibrium states in condensed-matter many-body systems, such...
12/04/2018 ∙ by Frank Noé, et al. ∙ 10 ∙ share

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Wasserstein-Fisher-Rao Document Distance

As a fundamental problem of natural language processing, it is important...
04/23/2019 ∙ by Zihao Wang, et al. ∙ 8 ∙ share

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Structural-Aware Sentence Similarity with Recursive Optimal Transport

Measuring sentence similarity is a classic topic in natural language pro...
01/28/2020 ∙ by Zihao Wang, et al. ∙ 8 ∙ share

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Uneven illumination surface defects inspection based on convolutional neural network

Surface defect inspection based on machine vision is often affected by u...
05/16/2019 ∙ by Hao Wu, et al. ∙ 7 ∙ share

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Amortized Population Gibbs Samplers with Neural Sufficient Statistics

We develop amortized population Gibbs (APG) samplers, a new class of aut...
11/04/2019 ∙ by Hao Wu, et al. ∙ 7 ∙ share

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Variational Selection of Features for Molecular Kinetics

The modeling of atomistic biomolecular simulations using kinetic models ...
11/28/2018 ∙ by Martin K. Scherer, et al. ∙ 6 ∙ share

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DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories

Automatic map extraction is of great importance to urban computing and l...
02/17/2020 ∙ by Hao Wu, et al. ∙ 6 ∙ share

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Adaptive Learning Material Recommendation in Online Language Education

Recommending personalized learning materials for online language learnin...
05/26/2019 ∙ by Shuhan Wang, et al. ∙ 5 ∙ share

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An encoding framework with brain inner state for natural image identification

Neural encoding and decoding, which aim to characterize the relationship...
08/22/2019 ∙ by Hao Wu, et al. ∙ 4 ∙ share

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Learning to Reconstruct and Understand Indoor Scenes from Sparse Views

This paper proposes a new method for simultaneous 3D reconstruction and ...
06/19/2019 ∙ by Jingyu Yang, et al. ∙ 3 ∙ share

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Joint Reasoning for Temporal and Causal Relations

Understanding temporal and causal relations between events is a fundamen...
06/12/2019 ∙ by Qiang Ning, et al. ∙ 3 ∙ share

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Composing Modeling and Inference Operations with Probabilistic Program Combinators

Probabilistic programs with dynamic computation graphs can define measur...
11/14/2018 ∙ by Eli Sennesh, et al. ∙ 2 ∙ share

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Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes

Recent advances in deep learning greatly boost the performance of object...
08/14/2019 ∙ by Hao Yang, et al. ∙ 2 ∙ share

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VAMPnets: Deep learning of molecular kinetics

Here we develop a deep learning framework for molecular kinetics from mo...
10/16/2017 ∙ by Andreas Mardt, et al. ∙ 0 ∙ share

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Mixed Precision Training

Deep neural networks have enabled progress in a wide variety of applicat...
10/10/2017 ∙ by Paulius Micikevicius, et al. ∙ 0 ∙ share

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Variational approach for learning Markov processes from time series data

Inference, prediction and control of complex dynamical systems from time...
07/14/2017 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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Spectral learning of dynamic systems from nonequilibrium data

Observable operator models (OOMs) and related models are one of the most...
09/04/2016 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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Variational Koopman models: slow collective variables and molecular kinetics from short off-equilibrium simulations

Markov state models (MSMs) and Master equation models are popular approa...
10/20/2016 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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The Computational Principles of Learning Ability

It has been quite a long time since AI researchers in the field of compu...
09/23/2015 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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What is Learning? A primary discussion about information and Representation

Nowadays, represented by Deep Learning techniques, the field of machine ...
05/19/2015 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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Clustering Assisted Fundamental Matrix Estimation

In computer vision, the estimation of the fundamental matrix is a basic ...
04/14/2015 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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CIFT: Crowd-Informed Fine-Tuning to Improve Machine Learning Ability

Item Response Theory (IRT) allows for measuring ability of Machine Learn...
02/27/2017 ∙ by John P. Lalor, et al. ∙ 0 ∙ share

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An Analysis of Ability in Deep Neural Networks

Deep neural networks (DNNs) have made significant progress in a number o...
02/15/2017 ∙ by John P. Lalor, et al. ∙ 0 ∙ share

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Hierarchical Neural Language Models for Joint Representation of Streaming Documents and their Content

We consider the problem of learning distributed representations for docu...
06/28/2016 ∙ by Nemanja Djuric, et al. ∙ 0 ∙ share

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Building an Evaluation Scale using Item Response Theory

Evaluation of NLP methods requires testing against a previously vetted g...
05/28/2016 ∙ by John P. Lalor, et al. ∙ 0 ∙ share

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A Novel Brain Decoding Method: a Correlation Network Framework for Revealing Brain Connections

Brain decoding is a hot spot in cognitive science, which focuses on reco...
12/01/2017 ∙ by Siyu Yu, et al. ∙ 0 ∙ share

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DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision

Estimating the travel time of a path is of great importance to smart urb...
02/06/2018 ∙ by Hanyuan Zhang, et al. ∙ 0 ∙ share

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Hierarchical Disentangled Representations

Deep latent-variable models learn representations of high-dimensional da...
04/06/2018 ∙ by Babak Esmaeili, et al. ∙ 0 ∙ share

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Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors

Modern object detectors usually suffer from low accuracy issues, as fore...
04/10/2018 ∙ by Hao Yu, et al. ∙ 0 ∙ share

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A Multi-Axis Annotation Scheme for Event Temporal Relations

Existing temporal relation (TempRel) annotation schemes often have low i...
04/20/2018 ∙ by Qiang Ning, et al. ∙ 0 ∙ share

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Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource

Extracting temporal relations (before, after, overlapping, etc.) is a ke...
04/17/2018 ∙ by Qiang Ning, et al. ∙ 0 ∙ share

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Energy and Delay Optimization for Cache-Enabled Dense Small Cell Networks

Caching popular files in small base stations (SBSs) has been proved to b...
03/10/2018 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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Deep Generative Markov State Models

We propose a deep generative Markov State Model (DeepGenMSM) learning fr...
05/19/2018 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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A note on time hierarchies for reasonable semantic classes without advice

We show time hierarchies for reasonable semantic classes without advice ...
11/29/2017 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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Bounded Rationality in Scholarly Knowledge Discovery

In an information-rich world, people's time and attention must be divide...
09/30/2017 ∙ by Kristina Lerman, et al. ∙ 0 ∙ share

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Maximum Value Matters: Finding Hot Topics in Scholarly Fields

Finding hot topics in scholarly fields can help researchers to keep up w...
10/18/2017 ∙ by Jinghao Zhao, et al. ∙ 0 ∙ share

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CLEF: Limiting the Damage Caused by Large Flows in the Internet Core (Technical Report)

The detection of network flows that send excessive amounts of traffic is...
07/16/2018 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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Deterministic Proof Of Work

Blockchains such as Bitcoin and Ethereum designed their consensus protoc...
08/13/2018 ∙ by Zhuan Cheng, et al. ∙ 0 ∙ share

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Interference-aware User Grouping Strategy in NOMA Systems with QoS Constraints

To meet the performance and complexity requirements from practical deplo...
12/19/2018 ∙ by Fengqian Guo, et al. ∙ 0 ∙ share

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QoS-aware Full-duplex Concurrent Scheduling for Millimeter Wave Wireless Backhaul Networks

The development of self-interference (SI) cancelation technology makes f...
12/29/2018 ∙ by Weiguang Ding, et al. ∙ 0 ∙ share

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Relay-Assisted and QoS Aware Scheduling to Overcome Blockage in mmWave Backhaul Networks

In the scenario where small cells are densely deployed, the millimeter w...
12/29/2018 ∙ by Yong Niu, et al. ∙ 0 ∙ share

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Delay and Power Consumption Tradeoff in Cache-enabled Dense Small Cell Networks: A Generalized Benders Decomposition Approach

Enabling caching capabilities in dense small cell networks (DSCNs) has a...
01/02/2019 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations

We propose Unified Visual-Semantic Embeddings (UniVSE) for learning a jo...
04/11/2019 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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Discriminative adversarial networks for positive-unlabeled learning

As an important semi-supervised learning task, positive-unlabeled (PU) l...
06/03/2019 ∙ by Fangqing Liu, et al. ∙ 0 ∙ share

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Free Component Analysis: Theory, Algorithms & Applications

We describe a method for unmixing mixtures of freely independent random ...
05/05/2019 ∙ by Hao Wu, et al. ∙ 0 ∙ share

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Optimizing System Quality of Service through Rejuvenation for Long-Running Applications with Real-Time Constraints

Reliability, longevity, availability, and deadline guarantees are the fo...
11/20/2018 ∙ by Chunhui Guo, et al. ∙ 0 ∙ share

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Hao Wu

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