Search Results for author: Wei Sun

Found 57 papers, 14 papers with code

A Deep Learning based No-reference Quality Assessment Model for UGC Videos

1 code implementation29 Apr 2022 Wei Sun, Xiongkuo Min, Wei Lu, Guangtao Zhai

The proposed model utilizes very sparse frames to extract spatial features and dense frames (i. e. the video chunk) with a very low spatial resolution to extract motion features, which thereby has low computational complexity.

Image Quality Assessment Video Quality Assessment +2

Cyber-Physical Vulnerability Assessment of P2P Energy Exchanges in Active Distribution Networks

no code implementations26 Apr 2022 Hamed Haggi, Wei Sun

Owing to the decreasing costs of distributed energy resources (DERs) as well as decarbonization policies, power systems are undergoing a modernization process.

A Unified Review of Deep Learning for Automated Medical Coding

no code implementations8 Jan 2022 Shaoxiong Ji, Wei Sun, Hang Dong, Honghan Wu, Pekka Marttinen

This review proposes a unified framework to provide a general understanding of the building blocks of medical coding models and summarizes recent advanced models under the proposed framework.

Enhancing Counterfactual Classification via Self-Training

1 code implementation8 Dec 2021 Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han

We approach this task as a domain adaptation problem and propose a self-training algorithm which imputes outcomes with categorical values for finite unseen actions in the observational data to simulate a randomized trial through pseudolabeling, which we refer to as Counterfactual Self-Training (CST).

Classification Domain Adaptation

DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks

1 code implementation NeurIPS 2021 Wei Sun, Aojun Zhou, Sander Stuijk, Rob Wijnhoven, Andrew Oakleigh Nelson, Hongsheng Li, Henk Corporaal

However, the existing N:M algorithms only address the challenge of how to train N:M sparse neural networks in a uniform fashion (i. e. every layer has the same N:M sparsity) and suffer from a significant accuracy drop for high sparsity (i. e. when sparsity > 80\%).

Network Pruning

Loss Functions for Discrete Contextual Pricing with Observational Data

no code implementations18 Nov 2021 Max Biggs, Ruijiang Gao, Wei Sun

To achieve this, we adapt ideas from machine learning with corrupted labels, where we can consider each observed customer's outcome (purchased or not for a prescribed price), as a (known) probabilistic transformation of the customer's valuation.

iShape: A First Step Towards Irregular Shape Instance Segmentation

no code implementations30 Sep 2021 Lei Yang, Yan Zi Wei, Yisheng He, Wei Sun, Zhenhang Huang, Haibin Huang, Haoqiang Fan

In this paper, we introduce a brand new dataset to promote the study of instance segmentation for objects with irregular shapes.

Instance Segmentation Semantic Segmentation

Multitask Balanced and Recalibrated Network for Medical Code Prediction

2 code implementations6 Sep 2021 Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen

Nevertheless, automated medical coding is still challenging because of the imbalanced class problem, complex code association, and noise in lengthy documents.

Medical Code Prediction Multi-Task Learning

Proactive Rolling-Horizon based Scheduling of Hydrogen Systems for Resilient Power Grids

no code implementations17 Jul 2021 Hamed Haggi, Wei Sun, James M. Fenton, Paul Brooker

Deploying distributed energy resources (DERs) and other smart grid technologies have increased the complexity of power grids and made them more vulnerable to natural disasters and cyber-physical-human (CPH) threats.

Learning-Based Nonlinear $H^\infty$ Control via Game-Theoretic Differential Dynamic Programming

no code implementations9 Jul 2021 Wei Sun, Theodore B. Trafalis

In this work, we present a learning-based nonlinear $H^\infty$ control algorithm that guarantee system performance under learned dynamics and disturbance estimate.

No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh Models

2 code implementations5 Jul 2021 ZiCheng Zhang, Wei Sun, Xiongkuo Min, Tao Wang, Wei Lu, Guangtao Zhai

Therefore, many related studies such as point cloud quality assessment (PCQA) and mesh quality assessment (MQA) have been carried out to measure the visual quality degradations of 3D models.

Point Cloud Quality Assessment

Learned Interpretable Residual Extragradient ISTA for Sparse Coding

no code implementations22 Jun 2021 Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

Recently, the study on learned iterative shrinkage thresholding algorithm (LISTA) has attracted increasing attentions.

Learning Audio-Visual Dereverberation

no code implementations14 Jun 2021 Changan Chen, Wei Sun, David Harwath, Kristen Grauman

The visual environment surrounding a human speaker reveals important cues about the room geometry, materials, and speaker location, all of which influence the precise reverberation effects in the audio stream.

Automatic Speech Recognition Speaker Identification +1

Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics

no code implementations6 Jun 2021 Zhen Miao, Weihao Kong, Ramya Korlakai Vinayak, Wei Sun, Fang Han

This paper investigates the theoretical and empirical performance of Fisher-Pitman-type permutation tests for assessing the equality of unknown Poisson mixture distributions.

Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos

1 code implementation2 Jun 2021 Wei Sun, Tao Wang, Xiongkuo Min, Fuwang Yi, Guangtao Zhai

The proposed VQA framework consists of three modules, the feature extraction module, the quality regression module, and the quality pooling module.

Frame Video Quality Assessment +2

Proactive Scheduling of Hydrogen Systems for Resilience Enhancement of Distribution Networks

no code implementations1 Jun 2021 Hamed Haggi, Wei Sun, James M. Fenton, Paul Brooker

Recent advances in smart grid technologies bring opportunities to better control the modern and complex power grids with renewable integration.

End-to-End Jet Classification of Boosted Top Quarks with the CMS Open Data

no code implementations19 Apr 2021 Michael Andrews, Bjorn Burkle, Yi-fan Chen, Davide DiCroce, Sergei Gleyzer, Ulrich Heintz, Meenakshi Narain, Manfred Paulini, Nikolas Pervan, Yusef Shafi, Wei Sun, Emanuele Usai, Kun Yang

We describe a novel application of the end-to-end deep learning technique to the task of discriminating top quark-initiated jets from those originating from the hadronization of a light quark or a gluon.

Multitask Recalibrated Aggregation Network for Medical Code Prediction

1 code implementation2 Apr 2021 Wei Sun, Shaoxiong Ji, Erik Cambria, Pekka Marttinen

Medical coding translates professionally written medical reports into standardized codes, which is an essential part of medical information systems and health insurance reimbursement.

Medical Code Prediction Representation Learning

Deep Consensus Learning

no code implementations15 Mar 2021 Wei Sun, Tianfu Wu

For the real image corresponding to the input layout, its mask also is computed by the inference network, and then used by the generator to reconstruct the real image.

Image Generation Semantic Segmentation

Deep Learning based 3D Segmentation: A Survey

no code implementations9 Mar 2021 Yong He, Hongshan Yu, Xiaoyan Liu, Zhengeng Yang, Wei Sun, Yaonan Wang, Qiang Fu, Yanmei Zou, Ajmal Mian

3D object segmentation is a fundamental and challenging problem in computer vision with applications in autonomous driving, robotics, augmented reality and medical image analysis.

Autonomous Driving Semantic Segmentation

Sum-Rate Maximization in Distributed Intelligent Reflecting Surfaces-Aided mmWave Communications

no code implementations18 Jan 2021 Yue Xiu, Wei Sun, Jiao Wu, Guan Gui, Ning Wei, Zhongpei Zhang

The solution to transmit beamforming at the BS and the phase shifts at the IRS are derived by using the successive convex approximation (SCA)-based algorithm, and a greedy algorithm is proposed to design the IRS switch vector.

Non-uniform Motion Deblurring with Blurry Component Divided Guidance

no code implementations15 Jan 2021 Pei Wang, Wei Sun, Qingsen Yan, Axi Niu, Rui Li, Yu Zhu, Jinqiu Sun, Yanning Zhang

To tackle the above problems, we present a deep two-branch network to deal with blurry images via a component divided module, which divides an image into two components based on the representation of blurry degree.

Blind Image Deblurring Image Deblurring +1

Counterfactual Self-Training

no code implementations1 Jan 2021 Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han

We approach this task as a domain adaptation problem and propose a self-training algorithm which imputes outcomes for the unseen actions in the observational data to simulate a randomized trial.

Domain Adaptation

Uplink Achievable Rate Maximization for Reconfigurable Intelligent Surface Aided Millimeter Wave Systems with Resolution-Adaptive ADCs

no code implementations27 Nov 2020 Yue Xiu, Jun Zhao, Ertugrul Basar, Marco Di Renzo, Wei Sun, Guan Gui, Ning Wei

In this letter, we investigate the uplink of a reconfigurable intelligent surface (RIS)-aided millimeter-wave (mmWave) multi-user system.


Multi-Objective PMU Allocation for Resilient Power System Monitoring

no code implementations15 Oct 2020 Hamed Haggi, Wei Sun, Junjian Qi

Phasor measurement units (PMUs) enable better system monitoring and security enhancement in smart grids.


Fatigue-aware Bandits for Dependent Click Models

no code implementations22 Aug 2020 Junyu Cao, Wei Sun, Zuo-Jun, Shen, Markus Ettl

Based on user's feedback, the platform learns the relevance of the underlying content as well as the discounting effect due to content fatigue.

online learning Recommendation Systems

Secrecy Rate Maximization for Intelligent Reflecting Surface Aided SWIPT Systems

no code implementations22 Jul 2020 Wei Sun, Qingyang Song, Lei Guo, Jun Zhao

Simultaneous wireless information and power transfer (SWIPT) and intelligent reflecting surface (IRS) are two promising techniques for providing enhanced wireless communication capability and sustainable energy supply to energy-constrained wireless devices.

Model Distillation for Revenue Optimization: Interpretable Personalized Pricing

no code implementations3 Jul 2020 Max Biggs, Wei Sun, Markus Ettl

Data-driven pricing strategies are becoming increasingly common, where customers are offered a personalized price based on features that are predictive of their valuation of a product.


Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis

3 code implementations25 Mar 2020 Wei Sun, Tianfu Wu

This paper focuses on a recent emerged task, layout-to-image, to learn generative models that are capable of synthesizing photo-realistic images from spatial layout (i. e., object bounding boxes configured in an image lattice) and style (i. e., structural and appearance variations encoded by latent vectors).

Layout-to-Image Generation

Machine learning based co-creative design framework

no code implementations23 Jan 2020 Brian Quanz, Wei Sun, Ajay Deshpande, Dhruv Shah, Jae-Eun Park

We propose a flexible, co-creative framework bringing together multiple machine learning techniques to assist human users to efficiently produce effective creative designs.

Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation

no code implementations8 Jan 2020 Dong Gong, Wei Sun, Qinfeng Shi, Anton Van Den Hengel, Yanning Zhang

Most learning-based super-resolution (SR) methods aim to recover high-resolution (HR) image from a given low-resolution (LR) image via learning on LR-HR image pairs.


Making Predictive Coding Networks Generative

no code implementations26 Oct 2019 Jeff Orchard, Wei Sun

This paper studies this phenomenon, and proposes a simple solution that promotes the generation of input samples that resemble the training inputs.

Image Synthesis From Reconfigurable Layout and Style

4 code implementations ICCV 2019 Wei Sun, Tianfu Wu

Despite remarkable recent progress on both unconditional and conditional image synthesis, it remains a long-standing problem to learn generative models that are capable of synthesizing realistic and sharp images from reconfigurable spatial layout (i. e., bounding boxes + class labels in an image lattice) and style (i. e., structural and appearance variations encoded by latent vectors), especially at high resolution.

Layout-to-Image Generation

Attentive Normalization

2 code implementations ECCV 2020 Xilai Li, Wei Sun, Tianfu Wu

In state-of-the-art deep neural networks, both feature normalization and feature attention have become ubiquitous.

Image Classification Instance Segmentation +2

3D Virtual Garment Modeling from RGB Images

no code implementations31 Jul 2019 Yi Xu, Shanglin Yang, Wei Sun, Li Tan, Kefeng Li, Hui Zhou

The predicted landmarks are used for estimating sizing information of the garment.

Mixed Reality Multi-Task Learning

A support vector regression-based multi-fidelity surrogate model

no code implementations22 Jun 2019 Maolin Shi, Shuo Wang, Wei Sun, Liye Lv, Xueguan Song

Computational simulations with different fidelity have been widely used in engineering design.

High-low level support vector regression prediction approach (HL-SVR) for data modeling with input parameters of unequal sample sizes

no code implementations31 May 2019 Maolin Shi, Wei Sun, Xueguan Song, Hongyou Li

The proposed approach is consisted of low-level SVR models for the input parameters of larger sample sizes and high-level SVR model for the input parameters of smaller sample sizes.

Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem

no code implementations29 Apr 2019 Junyu Cao, Wei Sun

Motivated by the phenomenon that companies introduce new products to keep abreast with customers' rapidly changing tastes, we consider a novel online learning setting where a profit-maximizing seller needs to learn customers' preferences through offering recommendations, which may contain existing products and new products that are launched in the middle of a selling period.

online learning Product Recommendation

Ranking-Based Autoencoder for Extreme Multi-label Classification

no code implementations NAACL 2019 Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou

Extreme Multi-label classification (XML) is an important yet challenging machine learning task, that assigns to each instance its most relevant candidate labels from an extremely large label collection, where the numbers of labels, features and instances could be thousands or millions.

Classification Extreme Multi-Label Classification +3

Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue

1 code implementation19 Mar 2019 Junyu Cao, Wei Sun

Based on user feedback, the platform dynamically learns users' abandonment distribution and their valuations of messages to determine the length of the sequence and the order of the messages, while maximizing the cumulative payoff over a horizon of length T. We refer to this online learning task as the sequential choice bandit problem.

Combinatorial Optimization online learning

Real time backbone for semantic segmentation

no code implementations16 Mar 2019 Zhengeng Yang, Hongshan Yu, Qiang Fu, Wei Sun, Wenyan Jia, Mingui Sun, Zhi-Hong Mao

The rapid development of autonomous driving in recent years presents lots of challenges for scene understanding.

Autonomous Driving Frame +3

Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation

no code implementations18 Jan 2019 Wei Sun, Tianfu Wu

In experiments, the proposed SPAP is tested in GANs on the Celeba-HQ-128 dataset~\cite{karras2017progressive}, and tested in CycleGANs on the Image-to-Image translation datasets including the Cityscape dataset~\cite{cordts2016cityscapes}, Facade and Aerial Maps dataset~\cite{zhu2017unpaired}, both obtaining better performance.

Image-to-Image Translation Translation

Sketching Method for Large Scale Combinatorial Inference

no code implementations NeurIPS 2018 Wei Sun, Junwei Lu, Han Liu

In order to test the hypotheses on their topological structures, we propose two adjacency matrix sketching frameworks: neighborhood sketching and subgraph sketching.

Interpretable Spatio-temporal Attention for Video Action Recognition

no code implementations1 Oct 2018 Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederich Tung, Leonid Sigal

Inspired by the observation that humans are able to process videos efficiently by only paying attention where and when it is needed, we propose an interpretable and easy plug-in spatial-temporal attention mechanism for video action recognition.

Action Recognition Frame

Machine Learning in High Energy Physics Community White Paper

no code implementations8 Jul 2018 Kim Albertsson, Piero Altoe, Dustin Anderson, John Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Bjorn Burkle, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Yi-fan Chen, Taylor Childers, Yann Coadou, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Andrea De Simone, Javier Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ulrich Heintz, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemysław Karpiński, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark Neubauer, Harvey Newman, Sydney Otten, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Stewart, Bob Stienen, Ian Stockdale, Giles Strong, Wei Sun, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Justin Vasel, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Kun Yang, Omar Zapata

In this document we discuss promising future research and development areas for machine learning in particle physics.

AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization System

no code implementations15 Apr 2018 Qiyue Li, Heng Qu, Zhi Liu, Nana Zhou, Wei Sun, Jie Li

Based on the extended fingerprint database, the accuracy of indoor localization system can be improved with reduced human effort.

Networking and Internet Architecture

Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning

no code implementations20 Dec 2017 Yang Nan, Gianmarc Coppola, Qiaokang Liang, Kunglin Zou, Wei Sun, Dan Zhang, Yaonan Wang, Guanzhen Yu

Gastric cancer is the second leading cause of cancer-related deaths worldwide, and the major hurdle in biomedical image analysis is the determination of the cancer extent.

Tumor Segmentation

Towards Interpretable R-CNN by Unfolding Latent Structures

1 code implementation14 Nov 2017 Tianfu Wu, Wei Sun, Xilai Li, Xi Song, Bo Li

We focus on weakly-supervised extractive rationale generation, that is learning to unfold latent discriminative part configurations of object instances automatically and simultaneously in detection without using any supervision for part configurations.

Object Detection

Multimodal Content Analysis for Effective Advertisements on YouTube

no code implementations12 Sep 2017 Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy

The objective of this work is then to measure the effectiveness of an advertisement, and to recommend a useful set of features to advertisement designers to make it more successful and approachable to users.

Recommendation Systems

Non-convex Statistical Optimization for Sparse Tensor Graphical Model

no code implementations NeurIPS 2015 Wei Sun, Zhaoran Wang, Han Liu, Guang Cheng

We consider the estimation of sparse graphical models that characterize the dependency structure of high-dimensional tensor-valued data.

Stabilized Nearest Neighbor Classifier and Its Statistical Properties

no code implementations26 May 2014 Wei Sun, Xingye Qiao, Guang Cheng

In this paper, we introduce a general measure of classification instability (CIS) to quantify the sampling variability of the prediction made by a classification method.

Classification General Classification

Consistent selection of tuning parameters via variable selection stability

no code implementations16 Aug 2012 Wei Sun, Junhui Wang, Yixin Fang

The key idea is to select the tuning parameters so that the resultant penalized regression model is stable in variable selection.

Variable Selection

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