Jie Liu

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University of Wisconsin-Madison ∙ Lehigh University ∙ The Chinese University of Hong Kong ∙ NetEase, Inc

Moore/Sloan Data Science Postdoctoral Fellow in the world-renowned Genome Sciences Department and eScience Institute at the University of Washington

Adaptive Gradient Method with Resilience and Momentum

Several variants of stochastic gradient descent (SGD) have been proposed...
10/21/2020 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things

Nowadays, Deep Learning as a service can be deployed in Internet of Thin...
10/15/2020 ∙ by Ling Wang, et al. ∙ 0 ∙ share

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Residual Feature Distillation Network for Lightweight Image Super-Resolution

Recent advances in single image super-resolution (SISR) explored the pow...
09/24/2020 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

This paper reviews the AIM 2020 challenge on efficient single image supe...
09/15/2020 ∙ by Kai Zhang, et al. ∙ 6 ∙ share

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Supporting the Problem-Solving Loop: Designing Highly Interactive Optimisation Systems

Efficient optimisation algorithms have become important tools for findin...
09/07/2020 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation

The Eulerian fluid simulation is an important HPC application. The neura...
08/26/2020 ∙ by Wenqian Dong, et al. ∙ 0 ∙ share

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Poet: Product-oriented Video Captioner for E-commerce

In e-commerce, a growing number of user-generated videos are used for pr...
08/16/2020 ∙ by Shengyu Zhang, et al. ∙ 0 ∙ share

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Three Numerical Eigensolvers for 3-D Cavity Resonators Filled With Anisotropic and Nonconductive Media

This paper mainly investigates the classic resonant cavity problem with ...
07/27/2020 ∙ by Wei Jiang, et al. ∙ 0 ∙ share

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Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation

Head pose estimation is a crucial problem for many tasks, such as driver...
05/24/2020 ∙ by Zhongxu Hu, et al. ∙ 11 ∙ share

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Triaging moderate COVID-19 and other viral pneumonias from routine blood tests

The COVID-19 is sweeping the world with deadly consequences. Its contagi...
05/13/2020 ∙ by Forrest Sheng Bao, et al. ∙ 19 ∙ share

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Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error

We study the L_1-regularized maximum likelihood estimator/estimation (ML...
05/12/2020 ∙ by Sinong Geng, et al. ∙ 16 ∙ share

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Nanotechnology-inspired Information Processing Systems of the Future

Nanoscale semiconductor technology has been a key enabler of the computi...
05/05/2020 ∙ by Randy Bryant, et al. ∙ 0 ∙ share

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Semantics of the Unwritten

The semantics of a text is manifested not only by what is read, but also...
04/05/2020 ∙ by He Bai, et al. ∙ 0 ∙ share

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Computational Performance of a Germline Variant Calling Pipeline for Next Generation Sequencing

With the booming of next generation sequencing technology and its implem...
04/01/2020 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining

Multi-modal pretraining for learning high-level multi-modal representati...
03/30/2020 ∙ by Junyang Lin, et al. ∙ 0 ∙ share

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FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors

How to accurately and efficiently label data on a mobile device is criti...
03/03/2020 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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CTM: Collaborative Temporal Modeling for Action Recognition

With the rapid development of digital multimedia, video understanding ha...
02/08/2020 ∙ by Qian Liu, et al. ∙ 1 ∙ share

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iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention

In this report, the method for the iqiyi submission to the task of Activ...
02/07/2020 ∙ by Qian Liu, et al. ∙ 10 ∙ share

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Balancing truncation and round-off errors in practical FEM: one-dimensional analysis

In finite element methods (FEMs), the accuracy of the solution cannot in...
12/17/2019 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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Model Embedded DRL for Intelligent Greenhouse Control

Greenhouse environment is the key to influence crops production. However...
12/01/2019 ∙ by Tinghao Zhang, et al. ∙ 13 ∙ share

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Flow Rate Control in Smart District Heating Systems Using Deep Reinforcement Learning

At high latitudes, many cities adopt a centralized heating system to imp...
12/01/2019 ∙ by Tinghao Zhang, et al. ∙ 0 ∙ share

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Learning to Predict More Accurate Text Instances for Scene Text Detection

At present, multi-oriented text detection methods based on deep neural n...
11/18/2019 ∙ by Xiaoqian Li, et al. ∙ 10 ∙ share

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Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction

Charge prediction, determining charges for criminal cases by analyzing t...
11/12/2019 ∙ by Liangyi Kang, et al. ∙ 0 ∙ share

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Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search

Vector quantization (VQ) techniques are widely used in similarity search...
11/12/2019 ∙ by Xinyan Dai, et al. ∙ 0 ∙ share

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Understanding and Improving Proximity Graph based Maximum Inner Product Search

The inner-product navigable small world graph (ip-NSW) represents the st...
09/30/2019 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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AI for Earth: Rainforest Conservation by Acoustic Surveillance

Saving rainforests is a key to halting adverse climate changes. In this ...
08/20/2019 ∙ by Yuan Liu, et al. ∙ 0 ∙ share

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Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization

Can we reduce the search cost of Neural Architecture Search (NAS) from d...
07/01/2019 ∙ by Dimitrios Stamoulis, et al. ∙ 6 ∙ share

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Performance Analysis and Characterization of Training Deep Learning Models on NVIDIA TX2

Training deep learning models on mobile devices recently becomes possibl...
06/10/2019 ∙ by Jie Liu, et al. ∙ 11 ∙ share

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Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices

Training deep learning models on mobile devices recently becomes possibl...
06/10/2019 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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Single-Path NAS: Device-Aware Efficient ConvNet Design

Can we automatically design a Convolutional Network (ConvNet) with the h...
05/10/2019 ∙ by Dimitrios Stamoulis, et al. ∙ 0 ∙ share

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Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

Can we automatically design a Convolutional Network (ConvNet) with the h...
04/05/2019 ∙ by Dimitrios Stamoulis, et al. ∙ 0 ∙ share

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Multi-Block Grid deformation Method in 3D

Multi-block grids provide the computational efficiency of structured gri...
11/21/2018 ∙ by Guojun G Liao, et al. ∙ 0 ∙ share

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Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS)

Recently, locality sensitive hashing (LSH) was shown to be effective for...
10/22/2018 ∙ by Xiao Yan, et al. ∙ 0 ∙ share

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PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report

This paper reviews the first challenge on efficient perceptual image enh...
10/03/2018 ∙ by Andrey Ignatov, et al. ∙ 2 ∙ share

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On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches

This paper proposes a framework of L-BFGS based on the (approximate) sec...
07/14/2018 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification

The video-based person re-identification is to recognize a person under ...
07/03/2018 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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A New High Performance and Scalable SVD algorithm on Distributed Memory Systems

This paper introduces a high performance implementation of Zolo-SVD algo...
06/16/2018 ∙ by Shengguo Li, et al. ∙ 0 ∙ share

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Techniques for Efficiently Handling Power Surges in Fuel Cell Powered Data Centers: Modeling, Analysis, Results

Fuel cells are a promising power source for future data centers, offerin...
06/12/2018 ∙ by Yang Li, et al. ∙ 0 ∙ share

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On sound insulation of pyramidal lattice sandwich structure

Pyramidal lattice sandwich structure (PLSS) exhibits high stiffness and ...
06/06/2018 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN

With the rapid growth of knowledge bases (KBs), question answering over ...
04/10/2018 ∙ by Yingqi Qu, et al. ∙ 0 ∙ share

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MLE-induced Likelihood for Markov Random Fields

Due to the intractable partition function, the exact likelihood function...
03/27/2018 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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Stochastic Recursive Gradient Algorithm for Nonconvex Optimization

In this paper, we study and analyze the mini-batch version of StochAstic...
05/20/2017 ∙ by Lam M. Nguyen, et al. ∙ 0 ∙ share

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SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient

In this paper, we propose a StochAstic Recursive grAdient algoritHm (SAR...
03/01/2017 ∙ by Lam M. Nguyen, et al. ∙ 0 ∙ share

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An efficient hybrid tridiagonal divide-and-conquer algorithm on distributed memory architectures

In this paper, an efficient divide-and-conquer (DC) algorithm is propose...
12/22/2016 ∙ by Shengguo Li, et al. ∙ 0 ∙ share

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Topic Aware Neural Response Generation

We consider incorporating topic information into the sequence-to-sequenc...
06/21/2016 ∙ by Chen Xing, et al. ∙ 0 ∙ share

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Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting

We propose mS2GD: a method incorporating a mini-batching scheme for impr...
04/16/2015 ∙ by Jakub Konečný, et al. ∙ 0 ∙ share

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mS2GD: Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting

We propose a mini-batching scheme for improving the theoretical complexi...
10/17/2014 ∙ by Jakub Konečný, et al. ∙ 0 ∙ share

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Defuzzify firstly or finally: Dose it matter in fuzzy DEMATEL under uncertain environment?

Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is wide...
03/20/2014 ∙ by Yunpeng Li, et al. ∙ 0 ∙ share

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A brief network analysis of Artificial Intelligence publication

In this paper, we present an illustration to the history of Artificial I...
11/23/2013 ∙ by Yunpeng Li, et al. ∙ 0 ∙ share

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Jie Liu

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