1 code implementation • 5 Mar 2023 • Zhiwei Wang, Fa Zhang, Cong Zheng, Xianghong Hu, Mingxuan Cai, Can Yang
Here we consider a matrix factorization problem by utilizing auxiliary information, which is massively available in real applications, to overcome the challenges caused by poor data quality.
1 code implementation • 26 Nov 2022 • Jinxin Lv, Xiaoyu Zeng, Sheng Wang, Ran Duan, Zhiwei Wang, Qiang Li
In this paper, we propose a novel image-aligned style transformation to reinforce the dual-model iterative learning for robust one-shot segmentation of brain tissues.
no code implementations • 15 Oct 2022 • Hongkuan Shi, Zhiwei Wang, Ying Zhou, Dun Li, Xin Yang, Qiang Li
The learned knowledge flows across branches along two directions: a cross direction (disparity guides distribution in ACS) and a parallel direction (disparity guides disparity in APS).
no code implementations • 5 Jun 2022 • Zhiwei Wang, Jinxin Lv, Yunqiao Yang, Yuanhuai Liang, Yi Lin, Qiang Li, Xin Li, Xin Yang
Vertebral landmark localization is a crucial step for variant spine-related clinical applications, which requires detecting the corner points of 17 vertebrae.
no code implementations • 6 Jan 2022 • Zhiwei Wang, Yaoyu Zhang, Enhan Zhao, Yiguang Ju, Weinan E, Zhi-Qin John Xu, Tianhan Zhang
The mechanism reduction is modeled as an optimization problem on Boolean space, where a Boolean vector, each entry corresponding to a species, represents a reduced mechanism.
1 code implementation • 25 Sep 2021 • Jinxin Lv, Zhiwei Wang, Hongkuan Shi, Haobo Zhang, Sheng Wang, Yilang Wang, Qiang Li
Registration of brain MRI images requires to solve a deformation field, which is extremely difficult in aligning intricate brain tissues, e. g., subcortical nuclei, etc.
no code implementations • 16 Aug 2021 • Weiwei Guo, Xiaowei Liu, Sida Wang, Michaeel Kazi, Zhiwei Wang, Zhoutong Fu, Jun Jia, Liang Zhang, Huiji Gao, Bo Long
Building a successful search system requires a thorough understanding of textual data semantics, where deep learning based natural language processing techniques (deep NLP) can be of great help.
no code implementations • SEMEVAL 2021 • Jiaju Lin, Jing Ling, Zhiwei Wang, Jiawei Liu, Qin Chen, Liang He
The purpose of the task was to extract triples from a paper in the Nature Language Processing field for constructing an Open Research Knowledge Graph.
no code implementations • 6 Jun 2021 • Xiang Zhang, Renchang Dai, Peng Wei, Yijing Liu, Guangyi Liu, Zhiwei Wang
Transient stability analysis (TSA) plays an important role in power system analysis to investigate the stability of power system.
no code implementations • 25 May 2021 • Tao Luo, Zheng Ma, Zhiwei Wang, Zhi-Qin John Xu, Yaoyu Zhang
frequency in DNN training.
3 code implementations • 26 Apr 2021 • Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, YaoWei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian
To enhance the generalization ability of PanGu-$\alpha$, we collect 1. 1TB high-quality Chinese data from a wide range of domains to pretrain the model.
Ranked #1 on Reading Comprehension (Zero-Shot) on CMRC 2018
Cloze (multi-choices) (Few-Shot) Cloze (multi-choices) (One-Shot) +18
no code implementations • 6 Dec 2020 • Tao Luo, Zheng Ma, Zhiwei Wang, Zhi-Qin John Xu, Yaoyu Zhang
A supervised learning problem is to find a function in a hypothesis function space given values on isolated data points.
no code implementations • 19 Nov 2020 • Ming Qian, Min Xia, Chunyi Sun, Zhiwei Wang, Liguo Weng
Defocus blur Detection aims to separate the out-of-focus and depth-of-field areas in photos, which is an important work in computer vision.
1 code implementation • 31 Aug 2020 • Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
To address these challenges, in this paper, we propose OC4Seq, a multi-scale one-class recurrent neural network for detecting anomalies in discrete event sequences.
no code implementations • 7 Aug 2020 • Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Siqi Wang, Ruisheng Diao, Zhiwei Wang
Since the load dynamics have substantial impacts on power system transient stability, load models are one critical factor that affects the power transfer limits.
no code implementations • 27 May 2020 • Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang
Recently, neural network based dialogue systems have become ubiquitous in our increasingly digitalized society.
no code implementations • 15 May 2020 • Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu
Classroom activity detection (CAD) aims at accurately recognizing speaker roles (either teacher or student) in classrooms.
no code implementations • 5 Dec 2019 • Jimin Wang, Cosimo Gorini, Klaus Richter, Zhiwei Wang, Yoichi Ando, Dieter Weiss
BiSbTeSe$_2$ is a 3D topological insulator (3D-TI) with Dirac type surface states and low bulk carrier density, as donors and acceptors compensate each other.
Mesoscale and Nanoscale Physics
2 code implementations • 22 Nov 2019 • Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
Robust language processing systems are becoming increasingly important given the recent awareness of dangerous situations where brittle machine learning models can be easily broken with the presence of noises.
no code implementations • 8 Nov 2019 • Xinan Wang, Yishen Wang, Di Shi, Jianhui Wang, Zhiwei Wang
However, a detailed WECC CLM model typically has a high degree of complexity, with over one hundred parameters, and no systematic approach to identifying and calibrating these parameters.
no code implementations • 23 Sep 2019 • Tiaoqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu
Automatic short answer grading (ASAG), which autonomously score student answers according to reference answers, provides a cost-effective and consistent approach to teaching professionals and can reduce their monotonous and tedious grading workloads.
no code implementations • 1 Sep 2019 • Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu
Monitoring student knowledge states or skill acquisition levels known as knowledge tracing, is a fundamental part of intelligent tutoring systems.
1 code implementation • 18 Jul 2019 • Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
In modern recommender systems, both users and items are associated with rich side information, which can help understand users and items.
2 code implementations • ICLR 2020 • Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang
Recurrent Neural Networks have long been the dominating choice for sequence modeling.
Ranked #1 on Music Modeling on Nottingham
no code implementations • 24 Apr 2019 • Ruisheng Diao, Zhiwei Wang, Di Shi, Qianyun Chang, Jiajun Duan, Xiaohu Zhang
Modern power grids are experiencing grand challenges caused by the stochastic and dynamic nature of growing renewable energy and demand response.
no code implementations • 26 Mar 2019 • Yayu Peng, Yishen Wang, Xiao Lu, Haifeng Li, Di Shi, Zhiwei Wang, Jie Li
Short-term load forecasting (STLF) is essential for the reliable and economic operation of power systems.
no code implementations • 26 Mar 2019 • Qicheng Chang, Yishen Wang, Xiao Lu, Di Shi, Haifeng Li, Jiajun Duan, Zhiwei Wang
In the first stage, all related features are utilized to train a point forecast model and also obtain the feature importance.
no code implementations • 20 Feb 2019 • Yishen Wang, Xiao Lu, Yiran Xu, Di Shi, Zhehan Yi, Jiajun Duan, Zhiwei Wang
Traditional load analysis is facing challenges with the new electricity usage patterns due to demand response as well as increasing deployment of distributed generations, including photovoltaics (PV), electric vehicles (EV), and energy storage systems (ESS).
no code implementations • 17 Dec 2018 • Zhiwei Wang, Yi Lin, Kwang-Ting Cheng, Xin Yang
Experimental results show that our method can effectively synthesize a large variety of mpMRI images which contain meaningful CS PCa lesions, display a good visual quality and have the correct paired relationship.
Synthesizing Multi-Parameter Magnetic Resonance Imaging (Mp-Mri) Data
no code implementations • 29 Nov 2018 • Yao Cui, Zhehan Yi, Jiajun Duan, Di Shi, Zhiwei Wang
This paper proposes a resilient-backpropagation-neural-network-(Rprop-NN) based algorithm for Photovoltaic (PV) maximum power point tracking (MPPT).
no code implementations • 29 Nov 2018 • Jiajun Duan, Zhehan Yi, Di Shi, Hao Xu, Zhiwei Wang
Conventional control strategies usually produce large disturbances to buses during charging and discharging (C&D) processes of UCs, which significantly degrades the power quality and system performance, especially under fast C&D modes.
no code implementations • 18 Sep 2018 • Yongli Zhu, Songtao Lu, Renchang Dai, Guangyi Liu, Zhiwei Wang
Then the raw input and output data are preprocessed by unit scaling, and the trained network is tested on the real price data under different input lengths, forecasting horizons and data sizes.
no code implementations • 19 Aug 2018 • Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang
Recurrent Neural Networks (RNNs) have been proven to be effective in modeling sequential data and they have been applied to boost a variety of tasks such as document classification, speech recognition and machine translation.
1 code implementation • Elsevier 2017 • Xin Yang, Chaoyue Liu, Zhiwei Wang, Jun Yang, Hung Le Min, Liang Wang, Kwang-Ting (Tim) Cheng
Each network is trained using images of a single modality in a weakly-supervised manner by providing a set of prostate images with image-level labels indicating only the presence of PCa without priors of lesions’ locations.