1 code implementation • 29 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.
no code implementations • 26 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.
no code implementations • 6 Feb 2022 • Hamed Haggi, Paul Brooker, Wei Sun, James M. Fenton
Deep energy decarbonization cannot be achieved without high penetration of renewables.
no code implementations • 8 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.
1 code implementation • 8 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).
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\%).
no code implementations • 18 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.
no code implementations • 30 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.
Ranked #1 on
Instance Segmentation
on iShape
2 code implementations • 6 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.
no code implementations • 17 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.
no code implementations • 9 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.
2 code implementations • 5 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.
no code implementations • 22 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.
no code implementations • 14 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.
no code implementations • 6 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.
1 code implementation • 2 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.
no code implementations • 1 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.
no code implementations • 19 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.
1 code implementation • 2 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.
no code implementations • 15 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.
no code implementations • 9 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.
no code implementations • 18 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.
no code implementations • 15 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.
no code implementations • 1 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.
no code implementations • 27 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.
no code implementations • 15 Oct 2020 • Hamed Haggi, Wei Sun, Junjian Qi
Phasor measurement units (PMUs) enable better system monitoring and security enhancement in smart grids.
no code implementations • 22 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.
no code implementations • 22 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.
no code implementations • 11 Jul 2020 • Yue Xiu, Jun Zhao, Wei Sun, Marco Di Renzo, Guan Gui, Zhongpei Zhang, Ning Wei
Then, we solve the power allocation problem under fixed phase shifts of the RIS and hybrid beamforming.
no code implementations • 3 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.
3 code implementations • 25 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).
Ranked #2 on
Layout-to-Image Generation
on COCO-Stuff 128x128
no code implementations • 23 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.
no code implementations • 8 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.
3 code implementations • CVPR 2020 • Yisheng He, Wei Sun, Haibin Huang, Jianran Liu, Haoqiang Fan, Jian Sun
Our method is a natural extension of 2D-keypoint approaches that successfully work on RGB based 6DoF estimation.
Ranked #1 on
6D Pose Estimation using RGBD
on YCB-Video
(Mean ADD-S metric)
no code implementations • 26 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.
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.
Ranked #2 on
Layout-to-Image Generation
on COCO-Stuff 64x64
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.
Ranked #47 on
Instance Segmentation
on COCO minival
no code implementations • 31 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.
no code implementations • 22 Jun 2019 • Maolin Shi, Shuo Wang, Wei Sun, Liye Lv, Xueguan Song
Computational simulations with different fidelity have been widely used in engineering design.
no code implementations • 17 Jun 2019 • Wei Sun, Jawadul H. Bappy, Shanglin Yang, Yi Xu, Tianfu Wu, Hui Zhou
In order to formulate the framework, we employ one generator and two discriminators for image synthesis.
no code implementations • 31 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.
no code implementations • 29 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.
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.
1 code implementation • 19 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.
no code implementations • 16 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.
no code implementations • 18 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.
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.
no code implementations • 1 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.
no code implementations • 8 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.
no code implementations • 15 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
no code implementations • 20 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.
1 code implementation • 14 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.
7 code implementations • 20 Oct 2017 • Jarrod R. McClean, Ian D. Kivlichan, Kevin J. Sung, Damian S. Steiger, Yudong Cao, Chengyu Dai, E. Schuyler Fried, Craig Gidney, Brendan Gimby, Thomas Häner, Tarini Hardikar, Vojtěch Havlíček, Cupjin Huang, Zhang Jiang, Matthew Neeley, Thomas O'Brien, Isil Ozfidan, Maxwell D. Radin, Jhonathan Romero, Nicholas Rubin, Nicolas P. D. Sawaya, Kanav Setia, Sukin Sim, Mark Steudtner, Wei Sun, Fang Zhang, Ryan Babbush
Quantum simulation of chemistry and materials is predicted to be an important application for both near-term and fault-tolerant quantum devices.
Quantum Physics Chemical Physics Computational Physics
no code implementations • 12 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.
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.
no code implementations • 26 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.
no code implementations • 16 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.