1 code implementation • 25 May 2015 • Yang Li, XifengYan
For the task of k-mer counting, MSPKmerCounter offers a very fast and memory-efficient solution.
no code implementations • CVPR 2015 • Hui Chen, Jiangdong Li, Fengjun Zhang, Yang Li, Hongan Wang
We propose a real-time 3D model-based method that continuously recognizes dimensional emotions from facial expressions in natural communications.
no code implementations • CVPR 2015 • Yang Li, Jianke Zhu, Steven C. H. Hoi
Most modern trackers typically employ a bounding box given in the first frame to track visual objects, where their tracking results are often sensitive to the initialization.
no code implementations • 24 Aug 2015 • Jianrui Ding, Min Xian, H. D. Cheng, Yang Li, Fei Xu, Yingtao Zhang
And the dynamic features are formed by using the information of its neighbor frames in the sequence.
no code implementations • ICCV 2015 • Srikrishna Karanam, Yang Li, Richard J. Radke
This paper introduces a new approach to address the person re-identification problem in cameras with non-overlapping fields of view.
1 code implementation • 1 Jun 2016 • Yang Li, Chunxiao Fan, Yong Li, Qiong Wu, Yue Ming
In this paper, we first propose a new activation function, Multiple Parametric Exponential Linear Units (MPELU), aiming to generalize and unify the rectified and exponential linear units.
no code implementations • 12 Jul 2016 • Yan Xu, Yang Li, Mingyuan Liu, Yipei Wang, Maode Lai, Eric I-Chao Chang
In this paper, we propose a new image instance segmentation method that segments individual glands (instances) in colon histology images.
no code implementations • 17 Jul 2016 • Yan Xu, Yang Li, Mingyuan Liu, Yipei Wang, Yubo Fan, Maode Lai, Eric I-Chao Chang
Here we leverage the idea of image-to-image prediction in recent deep learning by building a framework that automatically exploits and fuses complex multichannel information, regional, location and boundary patterns in gland histology images.
no code implementations • 21 Jul 2016 • Wenhui Li, Yongkang Wong, An-An Liu, Yang Li, Yu-Ting Su, Mohan Kankanhalli
To enable the study of this problem, there exist a vast number of action datasets, which are recorded under controlled laboratory settings, real-world surveillance environments, or crawled from the Internet.
no code implementations • 24 Jul 2016 • Yang Li, Wenming Zheng, Zhen Cui
To address the sequential changes of images including poses, in this paper we propose a recurrent regression neural network(RRNN) framework to unify two classic tasks of cross-pose face recognition on still images and video-based face recognition.
no code implementations • 21 Nov 2016 • Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric I-Chao Chang
Methods: We leverage the idea of image-to-image prediction in recent deep learning by designing an algorithm that automatically exploits and fuses complex multichannel information - regional, location, and boundary cues - in gland histology images.
no code implementations • COLING 2016 • Yang Li, Ting Liu, Jing Jiang, Liang Zhang
Microblogging services allow users to create hashtags to categorize their posts.
no code implementations • 12 May 2017 • Tong Zhang, Wenming Zheng, Zhen Cui, Yuan Zong, Yang Li
Then a bi-directional temporal RNN layer is further used to learn discriminative temporal dependencies from the sequences concatenating spatial features of each time slice produced from the spatial RNN layer.
no code implementations • ICLR 2018 • Yang Li, Nan Du, Samy Bengio
Because neural sequence models such as RNN are more amenable for handling token-like input, we propose two methods for time-dependent event representation, based on the intuition on how time is tokenized in everyday life and previous work on embedding contextualization.
no code implementations • 3 Sep 2017 • Yang Li, Guangcan Liu, Sheng-Yong Chen
Due to its efficiency and stability, Robust Principal Component Analysis (RPCA) has been emerging as a promising tool for moving object detection.
no code implementations • 15 Sep 2017 • Yang Li, Quan Pan, Suhang Wang, Haiyun Peng, Tao Yang, Erik Cambria
The majority of existing semi-supervised VAEs utilize a classifier to exploit label information, where the parameters of the classifier are introduced to the VAE.
2 code implementations • 14 Dec 2017 • Yang Li, Jianke Zhu, Steven C. H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu
In order to efficiently search in such a large 4-DoF space in real-time, we formulate the problem into two 2-DoF sub-problems and apply an efficient Block Coordinates Descent solver to optimize the estimation result.
no code implementations • 13 Jan 2018 • Sheng-Kai Liao, Wen-Qi Cai, Johannes Handsteiner, Bo Liu, Juan Yin, Liang Zhang, Dominik Rauch, Matthias Fink, Ji-Gang Ren, Wei-Yue Liu, Yang Li, Qi Shen, Yuan Cao, Feng-Zhi Li, Jian-Feng Wang, Yong-Mei Huang, Lei Deng, Tao Xi, Lu Ma, Tai Hu, Li Li, Nai-Le Liu, Franz Koidl, Peiyuan Wang, Yu-Ao Chen, Xiang-Bin Wang, Michael Steindorfer, Georg Kirchner, Chao-Yang Lu, Rong Shu, Rupert Ursin, Thomas Scheidl, Cheng-Zhi Peng, Jian-Yu Wang, Anton Zeilinger, Jian-Wei Pan
This was on the one hand the transmission of images in a one-time pad configuration from China to Austria as well as from Austria to China.
Quantum Physics
no code implementations • 21 Feb 2018 • Si Si, Sanjiv Kumar, Yang Li
Use of nonlinear feature maps via kernel approximation has led to success in many online learning tasks.
no code implementations • 12 Mar 2018 • Evan N. Feinberg, Debnil Sur, Zhenqin Wu, Brooke E. Husic, Huanghao Mai, Yang Li, Saisai Sun, Jianyi Yang, Bharath Ramsundar, Vijay S. Pande
The arc of drug discovery entails a multiparameter optimization problem spanning vast length scales.
no code implementations • 27 Mar 2018 • Tong Zhang, Wenming Zheng, Zhen Cui, Yang Li
For cross graph convolution, a parameterized Kronecker sum operation is proposed to generate a conjunctive adjacency matrix characterizing the relationship between every pair of nodes across two subgraphs.
no code implementations • 25 Apr 2018 • Zhi Zhang, Guanghan Ning, Yigang Cen, Yang Li, Zhiqun Zhao, Hao Sun, Zhihai He
The inference structures and computational complexity of existing deep neural networks, once trained, are fixed and remain the same for all test images.
no code implementations • NeurIPS 2018 • Patrick H. Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh
Model compression is essential for serving large deep neural nets on devices with limited resources or applications that require real-time responses.
1 code implementation • 30 Jun 2018 • Yu Liu, Guanlong Zhao, Boyuan Gong, Yang Li, Ritu Raj, Niraj Goel, Satya Kesav, Sandeep Gottimukkala, Zhangyang Wang, Wenqi Ren, DaCheng Tao
Here we explore two related but important tasks based on the recently released REalistic Single Image DEhazing (RESIDE) benchmark dataset: (i) single image dehazing as a low-level image restoration problem; and (ii) high-level visual understanding (e. g., object detection) of hazy images.
no code implementations • ACL 2018 • Yang Li, Bo Zhao, Ariel Fuxman, Fangbo Tao
The framework takes the enterprise corpus as input and produces a high-quality acronym disambiguation system as output.
1 code implementation • 25 Sep 2018 • Yadan Luo, Zi Huang, Yang Li, Fumin Shen, Yang Yang, Peng Cui
Hashing techniques are in great demand for a wide range of real-world applications such as image retrieval and network compression.
no code implementations • ACM International Conference on Multimedia 2018 • Ziwei Wang, Yadan Luo, Yang Li, Zi Huang, Hongzhi Yin
Existing image paragraph captioning methods give a series of sentences to represent the objects and regions of interests, where the descriptions are essentially generated by feeding the image fragments containing objects and regions into conventional image single-sentence captioning models.
no code implementations • 22 Oct 2018 • Yang Li, Meng-Ying Lei, Xianrui Zhang, Weigang Cui, Yuzhu Guo, Ting-Wen Huang, Hua-Liang Wei
Decoding EEG signals of different mental states is a challenging task for brain-computer interfaces (BCIs) due to nonstationarity of perceptual decision processes.
1 code implementation • ICLR 2019 • Yang Li, Lukasz Kaiser, Samy Bengio, Si Si
We propose area attention: a way to attend to areas in the memory, where each area contains a group of items that are structurally adjacent, e. g., spatially for a 2D memory such as images, or temporally for a 1D memory such as natural language sentences.
no code implementations • ICLR 2019 • Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh
The algorithm achieves an order of magnitude faster inference than the original softmax layer for predicting top-$k$ words in various tasks such as beam search in machine translation or next words prediction.
no code implementations • 6 Nov 2018 • Yang Li, Jiawei Jiang, Yingxia Shao, Bin Cui
The performance of deep neural networks crucially depends on good hyperparameter configurations.
no code implementations • 6 Nov 2018 • Xian-Rui Zhang, Meng-Ying Lei, Yang Li
Brain-Computer Interface (BCI) system provides a pathway between humans and the outside world by analyzing brain signals which contain potential neural information.
no code implementations • 18 Nov 2018 • Yang Li, Sangwhan Cha
In this way, the advantages of multiple models can be combined to mention the recognition accuracy.
no code implementations • CVPR 2019 • Zhourong Chen, Yang Li, Samy Bengio, Si Si
The concept of conditional computation for deep nets has been proposed previously to improve model performance by selectively using only parts of the model conditioned on the sample it is processing.
no code implementations • 8 Jan 2019 • Yang Li, Sangwhan Cha
Deep learning is one of the new and important branches in machine learning.
no code implementations • 17 Jan 2019 • Jiabao Wang, Yang Li, Zhuang Miao
However, deep feature extracted by a single CNN network is not robust enough in testing stage.
no code implementations • 23 Jan 2019 • Haiyun Peng, Yukun Ma, Soujanya Poria, Yang Li, Erik Cambria
Furthermore, we also fuse phonetic features with textual and visual features in order to mimic the way humans read and understand Chinese text.
no code implementations • 29 Jan 2019 • Myung Seok Shim, Chenye Zhao, Yang Li, Xuchong Zhang, Wenrui Zhang, Peng Li
Sensor fusion has wide applications in many domains including health care and autonomous systems.
no code implementations • 4 Feb 2019 • Yang Li, Tianxiang Gao, Junier B. Oliva
In this work, we propose to learn a generative model using both learned features (through a latent space) and memories (through neighbors).
1 code implementation • 5 Feb 2019 • Christopher Bender, Kevin O'Connor, Yang Li, Juan Jose Garcia, Manzil Zaheer, Junier Oliva
In this work, we develop a new approach to generative density estimation for exchangeable, non-i. i. d.
1 code implementation • 5 Mar 2019 • Yang Li, Kevin Korb, Lloyd Allison
A family of Markov blankets in a faithful Bayesian network satisfies the symmetry and consistency properties.
no code implementations • 6 Mar 2019 • Yang Li, Lloyd Allison, Kevin Korb
Moral graphs were introduced in the 1980s as an intermediate step when transforming a Bayesian network to a junction tree, on which exact belief propagation can be efficiently done.
no code implementations • 15 Mar 2019 • Yang Li, Yoshitaka Ushiku, Tatsuya Harada
In this paper, we propose to leverage graph optimization and loop closure detection to overcome limitations of unsupervised learning based monocular visual odometry.
no code implementations • 3 Apr 2019 • Zheng Zhang, Guo-Sen Xie, Yang Li, Sheng Li, Zi Huang
Due to its low storage cost and fast query speed, hashing has been recognized to accomplish similarity search in large-scale multimedia retrieval applications.
no code implementations • 4 Apr 2019 • Junxi Feng, Xiaohai He, Qizhi Teng, Chao Ren, Honggang Chen, Yang Li
To overcome this shortcoming, in this study we proposed a deep learning-based framework for reconstructing full image from its much smaller sub-area(s).
1 code implementation • 9 Apr 2019 • Yang Li, Shihao Ji
Thanks to the flexibility of ARM, many smooth or non-smooth parametric functions, such as scaled sigmoid or hard sigmoid, can be used to parameterize this binary optimization problem and the unbiasness of the ARM estimator is retained, while the hard concrete estimator has to rely on the hard sigmoid function to achieve conditional computation and thus accelerated training.
1 code implementation • ICLR 2019 • Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Amir R. Zamir, Leonidas J. Guibas
An important question in task transfer learning is to determine task transferability, i. e. given a common input domain, estimating to what extent representations learned from a source task can help in learning a target task.
no code implementations • 10 May 2019 • Hong Peng, Yu Hu, Jiazhou Chen, Hai-Yan Wang, Yang Li, Hongmin Cai
The performance of most the clustering methods hinges on the used pairwise affinity, which is usually denoted by a similarity matrix.
6 code implementations • KDD 2019 • Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh
Furthermore, Cluster-GCN allows us to train much deeper GCN without much time and memory overhead, which leads to improved prediction accuracy---using a 5-layer Cluster-GCN, we achieve state-of-the-art test F1 score 99. 36 on the PPI dataset, while the previous best result was 98. 71 by [16].
Ranked #1 on Node Classification on Amazon2M
1 code implementation • 24 May 2019 • Yang Li, Xuanqin Mou
Similar to IQA models, the structural dissimilarity is computed based on the correlation of the structural features.
no code implementations • NAACL 2019 • Shulin Liu, Yang Li, Feng Zhang, Tao Yang, Xinpeng Zhou
The goal of event detection (ED) is to detect the occurrences of events and categorize them.
2 code implementations • NeurIPS 2019 • Hongge Chen, huan zhang, Si Si, Yang Li, Duane Boning, Cho-Jui Hsieh
We show that there is a simple linear time algorithm for verifying a single tree, and for tree ensembles, the verification problem can be cast as a max-clique problem on a multi-partite graph with bounded boxicity.
no code implementations • 22 Jun 2019 • Yang Li, Yaqiang Yao
This constraint demands an optimizer to be aware of its remaining budget and able to spend it wisely, in order to return as better a point as possible.
no code implementations • 23 Jun 2019 • Yang Li
This paper addresses the issue and proposes a criterion for linear dynamical system based on the principle of minimum description length.
1 code implementation • 15 Jul 2019 • Zhen-Yu Zhang, Xiangfeng Luo, Tong Liu, Shaorong Xie, Jianshu Wang, Wei Wang, Yang Li, Yan Peng
Instability and slowness are two main problems in deep reinforcement learning.
1 code implementation • 13 Aug 2019 • Yang Li, Shihao Ji
To the best of our knowledge, this is the first learning framework that unifies network sparsification and network expansion in an end-to-end training pipeline.
no code implementations • 4 Sep 2019 • Yang Li, Jianhe Yuan, Zhiqun Zhao, Hao Sun, Zhihai He
In this work, we develop a joint sample discovery and iterative model evolution method for semi-supervised learning on very small labeled training sets.
no code implementations • 4 Sep 2019 • Yang Li, Thomas Strohmer
We propose a hybrid hardware-software framework that has the potential to significantly reduce the computational complexity and memory requirements of on-device machine learning.
no code implementations • 9 Sep 2019 • Yang Li, José M. F. Moura
Specifically, we start by learning the structure of the graph that parsimoniously represents the spatial dependency between the data at different locations.
no code implementations • 11 Sep 2019 • Yang Li, Florian Richter, Jingpei Lu, Emily K. Funk, Ryan K. Orosco, Jianke Zhu, Michael C. Yip
In this work, we propose a novel surgical perception framework, SuPer, for surgical robotic control.
1 code implementation • 13 Sep 2019 • Yang Li, Shoaib Akbar, Junier B. Oliva
Understanding the dependencies among features of a dataset is at the core of most unsupervised learning tasks.
no code implementations • NeurIPS Workshop Deep_Invers 2019 • Yang Li, Thomas Strohmer
By processing the data on the device that has collected the data, we can dramatically increase the level of privacy.
1 code implementation • NeurIPS 2020 • Siyuan Shan, Yang Li, Junier Oliva
Making an adaptive prediction based on one's input is an important ability for general artificial intelligence.
1 code implementation • 21 Oct 2019 • Jialiang Zhang, Lixiang Lin, Yang Li, Yun-chen Chen, Jianke Zhu, Yao Hu, Steven C. H. Hoi
To tackle this critical problem, we propose an attribute-aware pedestrian detector to explicitly model people's semantic attributes in a high-level feature detection fashion.
no code implementations • NeurIPS 2019 • Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, Cho-Jui Hsieh
In this paper, we proposed a general framework for data poisoning attacks to graph-based semi-supervised learning (G-SSL).
no code implementations • 27 Nov 2019 • Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang
Distantly supervised relation extraction intrinsically suffers from noisy labels due to the strong assumption of distant supervision.
no code implementations • 14 Jan 2020 • Yang Li, Julien Amelot, Xin Zhou, Samy Bengio, Si Si
While we focus on interface layout prediction, our model can be generally applicable for other layout prediction problems that involve tree structures and 2-dimensional placements.
no code implementations • 5 Feb 2020 • Ziyue Zhang, Richard YD Xu, Shuai Jiang, Yang Li, Congzhentao Huang, Chen Deng
Most existing works in Person Re-identification (ReID) focus on settings where illumination either is kept the same or has very little fluctuation.
no code implementations • 12 Feb 2020 • Yang Li, Yan Li, Hua Tian
To the best of our knowledge, this study is the first research on the prospective use of a deep learning-based diagnosis system for AVNFH by conducting two pilot studies representing real-world application scenarios.
no code implementations • 1 Mar 2020 • Cheng-Jun Li, Yang Li
Versions of the ten DE algorithms based on individuals redistribution are compared with not only original version but also version based on complete restart, where individuals redistribution and complete restart are based on the same entry criterion.
2 code implementations • 7 Mar 2020 • Jingpei Lu, Ambareesh Jayakumari, Florian Richter, Yang Li, Michael C. Yip
Robotic automation in surgery requires precise tracking of surgical tools and mapping of deformable tissue.
no code implementations • 11 Mar 2020 • Tianwei Zhang, Huayan Zhang, Yang Li, Yoshihiko Nakamura, Lei Zhang
Dynamic environments are challenging for visual SLAM since the moving objects occlude the static environment features and lead to wrong camera motion estimation.
no code implementations • ICML 2020 • Christopher M. Bender, Yang Li, Yifeng Shi, Michael K. Reiter, Junier B. Oliva
In this work we develop a novel Bayesian neural network methodology to achieve strong adversarial robustness without the need for online adversarial training.
no code implementations • CVPR 2020 • Yang Li, Aljaž Božič, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nießner
One of the widespread solutions for non-rigid tracking has a nested-loop structure: with Gauss-Newton to minimize a tracking objective in the outer loop, and Preconditioned Conjugate Gradient (PCG) to solve a sparse linear system in the inner loop.
no code implementations • 14 Apr 2020 • Yang Li, Lei-Ming Zhou, Nan Zhao
We calculated the scattering force distribution of a micro-particle trapped in an optical tweezers formed by the strongly focused LG beam, and showed that there exist stable trajectories of the particle that controlled by the negative torque.
Optics
no code implementations • 28 Apr 2020 • Yang Li, Xuanqin Mou
This problem is due to the lack of an accurate R-$D_\text{SSIM}$ model that can be used uniformly in both OBA and RDO.
no code implementations • EMNLP (Eval4NLP) 2020 • Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboedov, Kieran McDonald
We describe the annotation process in detail and compare it with other similar evaluation systems.
no code implementations • 7 May 2020 • Yang Li, Jinqiao Duan
We then design a numerical algorithm to compute the drift, diffusion coefficient and jump measure, and thus extract a governing stochastic differential equation with Gaussian and non-Gaussian noise.
2 code implementations • ACL 2020 • Yang Li, Jiacong He, Xin Zhou, Yuan Zhang, Jason Baldridge
We present a new problem: grounding natural language instructions to mobile user interface actions, and create three new datasets for it.
no code implementations • 2 Jun 2020 • Jiabao Wang, Yang Li, Shanshan Jiao, Zhuang Miao, Rui Zhang
In order to relieve this problem, we propose a novel grafted network (GraftedNet), which is designed by grafting a high-accuracy rootstock and a light-weighted scion.
no code implementations • 2 Jun 2020 • Jiabao Wang, Yang Li, Yangshuo Zhang, Zhuang Miao, Rui Zhang
A new heterogeneous branch, SE-Res-Branch, is proposed based on the SE-Res module, which consists of the Squeeze-and-Excitation block and the residual block.
no code implementations • 13 Jun 2020 • Yang Li, Junier B. Oliva
To trade off the improvement with the cost of acquisition, we leverage an information theoretic metric, conditional mutual information, to select the most informative feature to acquire.
1 code implementation • 16 Jun 2020 • Yimin Hou, Shuyue Jia, Xiangmin Lun, Ziqian Hao, Yan Shi, Yang Li, Rui Zeng, Jinglei Lv
To conclude, the GCNs-Net filters EEG signals based on the functional topological relationship, which manages to decode relevant features for brain motor imagery.
1 code implementation • 25 Jun 2020 • Shuyue Jia, Yimin Hou, Yan Shi, Yang Li
In previous studies, decoding electroencephalography (EEG) signals has not considered the topological relationship of EEG electrodes.
no code implementations • 29 Jun 2020 • Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen
The probabilistic classification vector machine (PCVM) synthesizes the advantages of both the support vector machine and the relevant vector machine, delivering a sparse Bayesian solution to classification problems.
no code implementations • 4 Jul 2020 • Yang Li, Tianwei Zhang, Yoshihiko Nakamura, Tatsuya Harada
We present SplitFusion, a novel dense RGB-D SLAM framework that simultaneously performs tracking and dense reconstruction for both rigid and non-rigid components of the scene.
no code implementations • 15 Jul 2020 • Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Yang Li, Richard Yi Da Xu
To solve this challenge, we proposed a Teacher-Student GAN model (TS-GAN) to adopt different domains and guide the ReID backbone to learn better ReID information.
no code implementations • NeurIPS 2020 • Hongge Chen, Si Si, Yang Li, Ciprian Chelba, Sanjiv Kumar, Duane Boning, Cho-Jui Hsieh
With this score, we can identify the pretraining examples in the pretraining task that contribute most to a prediction in the finetuning task.
no code implementations • 23 Jul 2020 • Yang Li, Yi Pan
This paper proposes to use sentiment analysis to extract useful information from multiple textual data sources and a blending ensemble deep learning model to predict future stock movement.
no code implementations • 26 Jul 2020 • Bin Fu, Yunqi Qiu, Chengguang Tang, Yang Li, Haiyang Yu, Jian Sun
Question Answering (QA) over Knowledge Base (KB) aims to automatically answer natural language questions via well-structured relation information between entities stored in knowledge bases.
no code implementations • NeurIPS 2020 • Yang Li, Haidong Yi, Christopher M. Bender, Siyuan Shan, Junier B. Oliva
Reasoning over an instance composed of a set of vectors, like a point cloud, requires that one accounts for intra-set dependent features among elements.
no code implementations • ECCV 2020 • Yang Li, Shichao Kan, Zhihai He
To further enhance the inter-class discriminative power of the feature generated by this network, we adapt the concept of triplet loss from supervised metric learning to our unsupervised case and introduce the contrastive clustering loss.
no code implementations • 21 Aug 2020 • Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Yang Li, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Xiangjun Feng, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens
All methods were based on deep learning and categorized into two groups: multi-model method and single model method.
no code implementations • 21 Sep 2020 • Yang Li, Boxun Fu, Fu Li, Guangming Shi, Wenming Zheng
So it is necessary to give more attention to the EEG samples with strong transferability rather than forcefully training a classification model by all the samples.
no code implementations • 25 Sep 2020 • Krishanu Sarker, Xiulong Yang, Yang Li, Saeid Belkasim, Shihao Ji
The success of Deep Neural Networks (DNNs) highly depends on data quality.
no code implementations • 1 Oct 2020 • Yang Li, Jinqiao Duan, Xianbin Liu
The emergence of transition phenomena between metastable states induced by noise plays a fundamental role in a broad range of nonlinear systems.
no code implementations • 6 Oct 2020 • Yang Li, Junier B. Oliva
Many real-world situations allow for the acquisition of additional relevant information when making an assessment with limited or uncertain data.
2 code implementations • COLING 2020 • Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang
Then, facilitated by the proposed base model, we introduce collaborating relation features shared among relations in the hierarchies to promote the relation-augmenting process and balance the training data for long-tail relations.
1 code implementation • EMNLP 2020 • Yang Li, Gang Li, Luheng He, Jingjie Zheng, Hong Li, Zhiwei Guan
We propose widget captioning, a novel task for automatically generating language descriptions for UI elements from multimodal input including both the image and the structural representations of user interfaces.
no code implementations • 24 Nov 2020 • Yang Li
Artificial neural networks are often very complex and too deep for a human to understand.
5 code implementations • 5 Dec 2020 • Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui
Instead of sampling configurations randomly in HB, BOHB samples configurations based on a BO surrogate model, which is constructed with the high-fidelity measurements only.
no code implementations • 8 Dec 2020 • Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui
In this framework, the BO methods are used to solve the HPO problem for each ML algorithm separately, incorporating a much smaller hyperparameter space for BO methods.
no code implementations • 1 Jan 2021 • Liangliang Shi, Yang Li, Junchi Yan
Generative adversarial networks have shown their ability in capturing high-dimensional complex distributions and generating realistic data samples e. g. images.
1 code implementation • 7 Jan 2021 • Yang Li, Amirmohammad Kazameini, Yash Mehta, Erik Cambria
In recent years, deep learning-based automated personality trait detection has received a lot of attention, especially now, due to the massive digital footprints of an individual.
no code implementations • 1 Feb 2021 • Xiaoyong Bo, Xiaoyu Chen, Huashun Li, Yunchang Dong, Zhaoyang Qu, Lei Wang, Yang Li
Considering the constraints of the temporal conversion of information flow and energy flow, a microgrid CPS coupling model is established, the effectiveness of which is verified by simulating false data injection attack (FDIA) scenarios.
no code implementations • 4 Feb 2021 • Meng Zhang, Jiazheng Li, Yang Li, Runnan Xu
Secondly, a long short-term memory (LSTM) based assessment model is built through learning the time dependencies from the post-disturbance system dynamics.
1 code implementation • 5 Feb 2021 • Siyuan Shan, Yang Li, Junier B. Oliva
Time series imputation is a fundamental task for understanding time series with missing data.
no code implementations • 11 Feb 2021 • Yang Li, Junier B. Oliva
Modeling dependencies among features is fundamental for many machine learning tasks.
no code implementations • 17 Feb 2021 • Mingyuan Zhong, Gang Li, Yang Li
Based on our experiments, Spacewalker allows designers to effectively search a large design space of a UI, using the language they are familiar with, and improve their design rapidly at a minimal cost.
no code implementations • 18 Feb 2021 • Michael Xuelin Huang, Yang Li, Nazneen Nazneen, Alexander Chao, Shumin Zhai
To make off-screen interaction without specialized hardware practical, we investigate using deep learning methods to process the common built-in IMU sensor (accelerometers and gyroscopes) on mobile phones into a useful set of one-handed interaction events.
no code implementations • 24 Feb 2021 • Yang Li, Yan-Gang Miao
We find that the thermodynamics of this class of conformally related black holes is independent of scale factors.
General Relativity and Quantum Cosmology High Energy Physics - Theory
no code implementations • 25 Feb 2021 • Justin R. Gagnon, Orad Reshef, Daniel H. G. Espinosa, M. Zahirul Alam, Daryl I. Vulis, Erik N. Knall, Jeremy Upham, Yang Li, Ksenia Dolgaleva, Eric Mazur, Robert W. Boyd
However, the utility of all such parametric nonlinear optical processes is hampered by phase-matching requirements.
Optics Applied Physics
no code implementations • 26 Feb 2021 • Liang Chen, Peng Jin, Jing Yang, Yang Li, Yi Song
To obtain the accurate transient states of the big scale natural gas pipeline networks under the bad data and non-zero mean noises conditions, a robust Kalman filter-based dynamic state estimation method is proposed using the linearized gas pipeline transient flow equations in this paper.
no code implementations • 27 Feb 2021 • Lei Wang, Pengcheng Xu, Zhaoyang Qu, Xiaoyong Bo, Yunchang Dong, Zhenming Zhang, Yang Li
Existing coordinated cyber-attack detection methods have low detection accuracy and efficiency and poor generalization ability due to difficulties dealing with unbalanced attack data samples, high data dimensionality, and noisy data sets.
no code implementations • 8 Mar 2021 • Yang Li, Chunling Wang, Guoqing Li, Chen Chen
In order to balance the interests of integrated energy operator (IEO) and users, a novel Stackelberg game-based optimization framework is proposed for the optimal scheduling of integrated demand response (IDR)-enabled integrated energy systems with uncertain renewable generations, where the IEO acts as the leader who pursues the maximization of his profits by setting energy prices, while the users are the follower who adjusts energy consumption plans to minimize their energy costs.
1 code implementation • CVPR 2021 • Yang Tan, Yang Li, Shao-Lun Huang
Specifically, we use optimal transport to estimate domain difference and the optimal coupling between source and target distributions, which is then used to derive the conditional entropy of the target task (task difference).
1 code implementation • 1 Apr 2021 • Yang Li, Xuanqin Mou
However, the MSE-based rate distortion optimization (RDO) was still used in these studies.
no code implementations • 13 Apr 2021 • Yang Li, Di Wang, José M. F. Moura
This task is challenging as models need not only to capture spatial dependency and temporal dependency within the data, but also to leverage useful auxiliary information for accurate predictions.
no code implementations • 20 Apr 2021 • Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
In recent studies, neural message passing has proved to be an effective way to design graph neural networks (GNNs), which have achieved state-of-the-art performance in many graph-based tasks.
1 code implementation • 27 Apr 2021 • Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si
Moreover, modeling and inferring complex relations of one-to-many (1-N), many-to-one (N-1), and many-to-many (N-N) by previous knowledge graph completion approaches requires high model complexity and a large amount of training instances.
1 code implementation • 4 May 2021 • Hasan Kemik, Nusret Özateş, Meysam Asgari-Chenaghlu, Yang Li, Erik Cambria
In this paper, our aim is to provide a dataset which covers one of the most significant human rights contradiction in recent months affected the whole world, George Floyd incident.
1 code implementation • ICCV 2021 • Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Nießner
Tracking non-rigidly deforming scenes using range sensors has numerous applications including computer vision, AR/VR, and robotics.
no code implementations • 7 May 2021 • Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, SungJun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, ZiRui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, Jose Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021.
no code implementations • 11 May 2021 • Yang Li, Ben Athiwaratkun, Cicero Nogueira dos santos, Bing Xiang
In this work, we propose to leverage the prior information embedded in pretrained language models (LM) to improve generalization for intent classification and slot labeling tasks with limited training data.
1 code implementation • 23 May 2021 • Yang Li, Hermawan Mulyono, Ying Chen, Zhiyin Lu, Desmond Chan
Climate change has largely impacted our daily lives.
1 code implementation • 25 May 2021 • Yang Li, Zinc Zhang, Hutchin Huang
In this paper, we utilize multi-modal, pre-trained models VilBERT and Visual BERT.
no code implementations • 27 May 2021 • Dongcheng Zhao, Yi Zeng, Yang Li
With the combination of the two mechanisms, we propose a deep spiking neural network with adaptive self-feedback and balanced excitatory and inhibitory neurons (BackEISNN).
no code implementations • 27 May 2021 • Yang Li, Yi Zeng, Dongcheng Zhao
Also, when ResNet structure-based ANNs are converted, the information of output neurons is incomplete due to the rapid transmission of the shortcut path.
6 code implementations • 1 Jun 2021 • Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
Black-box optimization (BBO) has a broad range of applications, including automatic machine learning, engineering, physics, and experimental design.
no code implementations • 1 Jun 2021 • Yang Li, Liangliang Shi, Junchi Yan
Based on this observation, considering a necessary condition of IID generation that the inverse samples from target data should also be IID in the source distribution, we propose a new loss to encourage the closeness between inverse samples of real data and the Gaussian source in latent space to regularize the generation to be IID from the target distribution.
1 code implementation • NeurIPS 2021 • Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, Samy Bengio
Attentional mechanisms are order-invariant.
1 code implementation • 6 Jun 2021 • Yang Li, Hong Zhang, Yu Zhang
The ImageNet pre-training initialization is the de-facto standard for object detection.
no code implementations • 19 Jun 2021 • Yang Tan, Yang Li, Shao-Lun Huang
Transferability estimation is an essential problem in transfer learning to predict how good the performance is when transferring a source model (or source task) to a target task.
no code implementations • CVPR 2021 • Shichao Kan, Yigang Cen, Yang Li, Vladimir Mladenovic, Zhihai He
During training, this relative order prediction network and the feature embedding network are tightly coupled, providing mutual constraints to each other to improve overall metric learning performance in a cooperative manner.
no code implementations • CVPR 2021 • Yang Li, Shichao Kan, Jianhe Yuan, Wenming Cao, Zhihai He
It has been long recognized that deep neural networks are sensitive to changes in spatial configurations or scene structures.
1 code implementation • 20 Jun 2021 • Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li
In this paper, we propose a Composite High-Resolution Network for ccRCC nuclei grading.
no code implementations • 22 Jun 2021 • Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger
Therefore, in this paper, we introduce a new capsule network with graph routing to learn both relationships, where capsules in each layer are treated as the nodes of a graph.
1 code implementation • 23 Jun 2021 • Zeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang Jia, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li
Histological subtype of papillary (p) renal cell carcinoma (RCC), type 1 vs. type 2, is an essential prognostic factor.
1 code implementation • 30 Jun 2021 • Yang Li, Shihao Ji
We term our algorithm Dep-$L_0$ as it prunes networks via a dependency-enabled $L_0$ regularization.
no code implementations • 30 Jun 2021 • Yang Li, Yadan Luo, Zheng Zhang, Shazia W. Sadiq, Peng Cui
It aims at suggesting the next POI to a user in spatial and temporal context, which is a practical yet challenging task in various applications.
no code implementations • 30 Jun 2021 • Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang
Furthermore, the sparse POI-POI transitions restrict the ability of a model to learn effective sequential patterns for recommendation.
no code implementations • 4 Jul 2021 • Yang Li, Tong Chen, Zi Huang
As a result, this creates a severe bottleneck when we are trying to advance the recommendation accuracy and generating fine-grained explanations since the explicit attributes have only loose connections to the actual recommendation process.
no code implementations • 4 Jul 2021 • Cheng Zhong, Huayi Li, Yang Zhou, Yueming Lv, Jikai Chen, Yang Li
PV generation reserve a part of the active power in accordance with the pre-defined power versus voltage curve.
no code implementations • 9 Jul 2021 • Yang Li, Siyuan Shan, Qin Liu, Junier B. Oliva
Our framework can easily handle a large number of features using a hierarchical acquisition policy and is more robust to OOD inputs with the help of an OOD detector for partially observed data.
no code implementations • 13 Jul 2021 • Liang Chen, Xinxin Hui, Songlin Gu, Manyun Huang, Yang Li
Boundary conditions of pipeline networks are used as supplementary constraints in the system model.
no code implementations • 16 Jul 2021 • Yang Li, Kevin B Korb, Lloyd Allison
Causal discovery automates the learning of causal Bayesian networks from data and has been of active interest from their beginning.
no code implementations • 16 Jul 2021 • Yang Li, Meng Han, Zhen Yang, Guoqing Li
A community integrated energy system (CIES) with an electric vehicle charging station (EVCS) provides a new way for tackling growing concerns of energy efficiency and environmental pollution, it is a critical task to coordinate flexible demand response and multiple renewable uncertainties.
no code implementations • 16 Jul 2021 • Yang Li, Jiazheng Li, Yi Wang
Scenario generation is a fundamental and crucial tool for decision-making in power systems with high-penetration renewables.
3 code implementations • 19 Jul 2021 • Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
End-to-end AutoML has attracted intensive interests from both academia and industry, which automatically searches for ML pipelines in a space induced by feature engineering, algorithm/model selection, and hyper-parameter tuning.
no code implementations • 21 Jul 2021 • Yang Li, Jinqiao Duan
Advances in data science are leading to new progresses in the analysis and understanding of complex dynamics for systems with experimental and observational data.
1 code implementation • 25 Jul 2021 • Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui
Unfortunately, many real-world networks are sparse in terms of both edges and labels, leading to sub-optimal performance of GNNs.
1 code implementation • 31 Jul 2021 • Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui
Data selection methods, such as active learning and core-set selection, are useful tools for improving the data efficiency of deep learning models on large-scale datasets.
no code implementations • 2 Aug 2021 • Cheng Zhong, Yueming Lv, Huayi Li, Jikai Chen, Yang Li
However, for the existing frequency regulation scheme of wind turbines, the control gains in the auxiliary frequency controller are difficult to set because of the compromise of the frequency regulation performance and the stable operation of wind turbines, especially when the wind speed remains variable.
no code implementations • 3 Aug 2021 • Zhenhao Tang, Shikui Wang, Shengxian Cao, Yang Li, Tao Shen
Aiming at the problem that delay time is difficult to determine and prediction accuracy is low in building prediction model of SCR system, a dynamic modeling scheme based on a hybrid of multiple data-driven algorithms was proposed.
2 code implementations • 7 Aug 2021 • Bryan Wang, Gang Li, Xin Zhou, Zhourong Chen, Tovi Grossman, Yang Li
Mobile User Interface Summarization generates succinct language descriptions of mobile screens for conveying important contents and functionalities of the screen, which can be useful for many language-based application scenarios.
no code implementations • 7 Aug 2021 • Mingyuan Zhong, Gang Li, Peggy Chi, Yang Li
We present HelpViz, a tool for generating contextual visual mobile tutorials from text-based instructions that are abundant on the web.
no code implementations • 11 Aug 2021 • Xin Zhou, Yang Li
Modeling tap or click sequences of users on a mobile device can improve our understandings of interaction behavior and offers opportunities for UI optimization by recommending next element the user might want to click on.
no code implementations • 15 Aug 2021 • Yang Li, Ruinong Wang, Zhen Yang
In order to reduce the negative impact of the uncertainty of load and renewable energies outputs on microgrid operation, an optimal scheduling model is proposed for isolated microgrids by using automated reinforcement learning-based multi-period forecasting of renewable power generations and loads.
no code implementations • 17 Aug 2021 • Jiaze Sun, Jiahui Deng, Yang Li, Shuaiyin Ma, Nan Han
District energy systems can not only reduce energy consumption but also set energy supply dispatching schemes according to demand.
no code implementations • 18 Aug 2021 • Yang Li, Bin Wang, Zhen Yang, Jiazheng Li, Guoqing Li
The community integrated energy system (CIES) is an essential energy internet carrier that has recently been the focus of much attention.
no code implementations • 25 Aug 2021 • Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin
Modern deep neural networks (DNNs) have greatly facilitated the development of sequential recommender systems by achieving state-of-the-art recommendation performance on various sequential recommendation tasks.
1 code implementation • 28 Aug 2021 • Yubin Lu, Yang Li, Jinqiao Duan
In this work, we propose a data-driven approach to extract stochastic governing laws with both (Gaussian) Brownian motion and (non-Gaussian) L\'evy motion, from short bursts of simulation data.
no code implementations • 2 Sep 2021 • Xinxin Zhou, Jingru Feng, Yang Li
In this paper, the proposed decomposition method is compared with the existing traditional deep learning load decomposition method.
no code implementations • 8 Sep 2021 • Jingge Wang, Yang Li, Liyan Xie, Yao Xie
Given multiple source domains, domain generalization aims at learning a universal model that performs well on any unseen but related target domain.
no code implementations • Findings (NAACL) 2022 • Yang Li, Guodong Long, Tao Shen, Jing Jiang
It consists of (1) a pairwise type-enriched sentence encoding module injecting both context-free and -related backgrounds to alleviate sentence-level wrong labeling, and (2) a hierarchical type-sentence alignment module enriching a sentence with the triple fact's basic attributes to support long-tail relations.
no code implementations • 29 Sep 2021 • Yang Li, Gang Li, Xin Zhou, Mostafa Dehghani, Alexey A. Gritsenko
Our model consists of a multimodal Transformer encoder that jointly encodes UI images and structures, and performs UI object detection when the UI structures are absent in the input.
no code implementations • 29 Sep 2021 • Yang Li, Yichuan Mo, Liangliang Shi, Junchi Yan, Xiaolu Zhang, Jun Zhou
Although many efforts have been made in terms of backbone architecture design, loss function, and training techniques, few results have been obtained on how the sampling in latent space can affect the final performance, and existing works on latent space mainly focus on controllability.
no code implementations • 30 Sep 2021 • Yang Tan, Yang Li, Shao-Lun Huang
Recent analytical transferability metrics are mainly designed for image classification problem, and currently there is no specific investigation for the transferability estimation of semantic segmentation task, which is an essential problem in autonomous driving, medical image analysis, etc.
no code implementations • Taylor & Francis Online 2021 • Yang Li, Hong-Ning Dai, Zibin Zheng
To validate our method, we perform the back-testing on the historical data of two public datasets and a newly constructed dataset.
no code implementations • 30 Sep 2021 • Yang Li, Yubin Lu, Shengyuan Xu, Jinqiao Duan
Despite the wide applications of non-Gaussian fluctuations in numerous physical phenomena, the data-driven approaches to extract stochastic dynamical systems with (non-Gaussian) L\'evy noise are relatively few so far.
no code implementations • 30 Sep 2021 • Fengrui Liu, Yang Li, Baitong Li, Jiaxin Li, Huiyang Xie
Then an automatically-generating transaction strategy is constructed building on PPO with LSTM as the basis to construct the policy.
no code implementations • 14 Oct 2021 • Forrest Huang, Gang Li, Xin Zhou, John F. Canny, Yang Li
The design process of user interfaces (UIs) often begins with articulating high-level design goals.
no code implementations • 20 Oct 2021 • Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen yang, Ji Liu, Bin Cui
Designing neural architectures requires immense manual efforts.
no code implementations • 26 Oct 2021 • Ru Yang, Yang Li, Danielle Zeng, Ping Guo
StrainNet predicts the strain field directly from the image input without relying on the displacement prediction, which significantly improves the strain prediction accuracy.
1 code implementation • NeurIPS 2021 • Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
Recent works reveal that feature or label smoothing lies at the core of Graph Neural Networks (GNNs).
no code implementations • 29 Oct 2021 • Zhenhao Tang, Deyu Zhu, Yang Li
The real-time prediction of NOx emissions is of great significance for pollutant emission control and unit operation of coal-fired power plants.
no code implementations • 29 Oct 2021 • Guanglin Niu, Yang Li, Chengguang Tang, Zhongkai Hu, Shibin Yang, Peng Li, Chengyu Wang, Hao Wang, Jian Sun
The multi-relational Knowledge Base Question Answering (KBQA) system performs multi-hop reasoning over the knowledge graph (KG) to achieve the answer.
Knowledge Base Question Answering Knowledge Graph Embedding +1
1 code implementation • 31 Oct 2021 • Huaijun Jiang, Yu Shen, Yang Li
In this paper, we describe our method for tackling the automated hyperparameter optimization challenge in QQ Browser 2021 AI Algorithm Competiton (ACM CIKM 2021 AnalyticCup Track 2).
no code implementations • 1 Nov 2021 • Shitu Zhang, Zhixun Zhu, Yang Li
Transient stability assessment (TSA) has always been a fundamental means for ensuring the secure and stable operation of power systems.
no code implementations • 2 Nov 2021 • Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong
In recent years, deep learning technology has been used to solve partial differential equations (PDEs), among which the physics-informed neural networks (PINNs) emerges to be a promising method for solving both forward and inverse PDE problems.
no code implementations • 9 Nov 2021 • Bingkun Chen, Shaobing Dai, Shenghua Zheng, Lei Liao, Yang Li
Unsupervised dialogue structure learning is an important and meaningful task in natural language processing.
no code implementations • 15 Nov 2021 • Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang
Our Spiking CapsNet fully combines the strengthens of SNN and CapsNet, and shows strong robustness to noise and affine transformation.
no code implementations • 15 Nov 2021 • Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Fan Yu, Bei Hua, Lei Chen, Bin Dong
Many important problems in science and engineering require solving the so-called parametric partial differential equations (PDEs), i. e., PDEs with different physical parameters, boundary conditions, shapes of computation domains, etc.
no code implementations • 23 Nov 2021 • Chengyijue Fang, Yingao Liu, Mengqiu Liu, Xiaohui Qiu, Ying Liu, Yang Li, Jie Wen, Yidong Yang
The lung volume volume was firstly delineated using a pre-trained U-net and worked as the input for the later network.
1 code implementation • CVPR 2022 • Yang Li, Tatsuya Harada
We present Lepard, a Learning based approach for partial point cloud matching in rigid and deformable scenes.
Ranked #1 on Partial Point Cloud Matching on 4DMatch
no code implementations • 24 Nov 2021 • Yang Li, Kang Li, Zhen Yang, Yang Yu, Runnan Xu, Miaosen Yang
In order to solve this model, this research combines Jaya algorithm and interior point method (IPM) to develop a hybrid analysis-heuristic solution method called Jaya-IPM, where the lower- and upper- levels are respectively addressed by the IPM and the Jaya, and the scheduling scheme is obtained via iterations between the two levels.
no code implementations • NeurIPS 2021 • Yichen Qin, Linhan Yu, Yang Li
Starting at a random initial point or an existing estimate, our method iteratively updates the pairwise vertex distances, the sets of similar vertices, and connecting probabilities to improve the precision of the estimate.
no code implementations • NeurIPS 2021 • Yunan Liu, Shanshan Zhang, Yang Li, Jian Yang
In this setting, we embed an additional pair of “latent-latent” to reduce the domain gap between the source and different latent domains, allowing the model to adapt well on multiple target domains simultaneously.
no code implementations • 3 Dec 2021 • Yang Li, Yuichi Tanaka
In this paper, we propose two methods to improve the performance of GCs: 1) Utilizing structural information in the feature space, and 2) exploiting the multi-hop information in one GC step.
no code implementations • 5 Dec 2021 • Yang Li, Meng Zhang, Chen Chen
Facing the difficulty of expensive and trivial data collection and annotation, how to make a deep learning-based short-term voltage stability assessment (STVSA) model work well on a small training dataset is a challenging and urgent problem.
no code implementations • 10 Dec 2021 • Yang Li, Gang Li, Xin Zhou, Mostafa Dehghani, Alexey Gritsenko
Our model consists of a multimodal Transformer encoder that jointly encodes UI images and structures, and performs UI object detection when the UI structures are absent in the input.
no code implementations • 11 Dec 2021 • Mengqiu Liu, Ying Liu, Yidong Yang, Aiping Liu, Shana Li, Changbing Qu, Xiaohui Qiu, Yang Li, Weifu Lv, Peng Zhang, Jie Wen
Correlations between imaging findings and clinical lab tests suggested the value of this system as a potential tool to assess disease severity of COVID-19.
no code implementations • 13 Dec 2021 • Zhaoyang Qu, Yunchang Dong, Sylvère Mugemanyi, Tong Yu, Xiaoyong Bo, Huashun Li, Yang Li, François Xavier Rugema, Christophe Bananeza
DeGBBBA is an advanced variant of GBBBA in which a modified Gaussian distribution is introduced so as to allow the dynamic adaptation of exploitation and exploitation in the proposed algorithm.
no code implementations • 14 Dec 2021 • Yijin Zhou, Fu Li, Yang Li, Youshuo Ji, Guangming Shi, Wenming Zheng, Lijian Zhang, Yuanfang Chen, Rui Cheng
Moreover, motivated by the observation of the relationship between coarse- and fine-grained emotions, we adopt a dual-head module that enables the PGCN to progressively learn more discriminative EEG features, from coarse-grained (easy) to fine-grained categories (difficult), referring to the hierarchical characteristic of emotion.
no code implementations • 14 Dec 2021 • Yang Li, Bin Wang, Zhen Yang, Jiazheng Li, Chen Chen
An operating entity utilizing community-integrated energy systems with a large number of small-scale distributed energy sources can easily trade with existing distribution markets.
3 code implementations • 15 Dec 2021 • Xinrui Zhan, Yueran Liu, Jianke Zhu, Yang Li
Planar object tracking plays an important role in AI applications, such as robotics, visual servoing, and visual SLAM.
1 code implementation • 18 Dec 2021 • Yang Li, Gonzalo Mateos, Zhengwu Zhang
Recent advances in neuroimaging along with algorithmic innovations in statistical learning from network data offer a unique pathway to integrate brain structure and function, and thus facilitate revealing some of the brain's organizing principles at the system level.
no code implementations • 22 Dec 2021 • Jiting Cao, Meng Zhang, Yang Li
With the rapid growth of power market reform and power demand, the power transmission capacity of a power grid is approaching its limit, and the secure and stable operation of power systems becomes increasingly important.
1 code implementation • 25 Dec 2021 • Yang Li, Yiting Dong, Dongcheng Zhao, Yi Zeng
Few-shot learning (learning with a few samples) is one of the most important cognitive abilities of the human brain.