3 code implementations • 6 May 2023 • Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, Ee-Peng Lim
To address the calculation errors and improve the quality of generated reasoning steps, we extend PS prompting with more detailed instructions and derive PS+ prompting.
1 code implementation • 28 Nov 2022 • Lanling Xu, Zhen Tian, Gaowei Zhang, Lei Wang, Junjie Zhang, Bowen Zheng, YiFan Li, Yupeng Hou, Xingyu Pan, Yushuo Chen, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen
In order to show the recent update in RecBole, we write this technical report to introduce our latest improvements on RecBole.
2 code implementations • 22 Aug 2023 • Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, ZhiYuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen
In this paper, we present a comprehensive survey of these studies, delivering a systematic review of the field of LLM-based autonomous agents from a holistic perspective.
1 code implementation • 31 Jul 2020 • Xu Sun, Huihui Fang, Yehui Yang, Dongwei Zhu, Lei Wang, Junwei Liu, Yanwu Xu
In this paper, we propose two new data augmentation modules, namely, channel-wise random Gamma correction and channel-wise random vessel augmentation.
1 code implementation • 3 Aug 2020 • Yehui Yang, Fangxin Shang, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang
As a result, it exploits more discriminative features for DR grading.
2 code implementations • 4 Apr 2023 • Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee
The success of large language models (LLMs), like GPT-4 and ChatGPT, has led to the development of numerous cost-effective and accessible alternatives that are created by finetuning open-access LLMs with task-specific data (e. g., ChatDoctor) or instruction data (e. g., Alpaca).
1 code implementation • 23 Dec 2019 • Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, Lei Wang
We introduce Yao, an extensible, efficient open-source framework for quantum algorithm design.
Quantum Physics Strongly Correlated Electrons Computational Physics
1 code implementation • 10 Sep 2021 • Wenbin Li, Ziyi, Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo
Furthermore, based on LibFewShot, we provide comprehensive evaluations on multiple benchmarks with various backbone architectures to evaluate common pitfalls and effects of different training tricks.
2 code implementations • MIDL 2019 • Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Gaoxiang Chen, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen
The \emph{second contribution} is that we systematically evaluated five benchmark methods on two representative public datasets.
1 code implementation • 23 Oct 2022 • Pengchao Hu, Man Lu, Lei Wang, Guoyue Jiang
Multi-level intermediate representations (MLIR) show great promise for reducing the cost of building domain-specific compilers by providing a reusable and extensible compiler infrastructure.
4 code implementations • 30 May 2021 • Yingying Deng, Fan Tang, WeiMing Dong, Chongyang Ma, Xingjia Pan, Lei Wang, Changsheng Xu
The goal of image style transfer is to render an image with artistic features guided by a style reference while maintaining the original content.
3 code implementations • CVPR 2022 • Yingying Deng, Fan Tang, WeiMing Dong, Chongyang Ma, Xingjia Pan, Lei Wang, Changsheng Xu
The goal of image style transfer is to render an image with artistic features guided by a style reference while maintaining the original content.
1 code implementation • 5 Jun 2023 • Lei Wang, Jingsen Zhang, Hao Yang, ZhiYuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen
Simulating high quality user behavior data has always been a fundamental problem in human-centered applications, where the major difficulty originates from the intricate mechanism of human decision process.
2 code implementations • 21 Mar 2024 • Quan Zhang, Lei Wang, Vishal M. Patel, Xiaohua Xie, JianHuang Lai
Experiments on two datasets show that VDT is a feasible and effective solution for AGPReID, surpassing the previous method on mAP/Rank1 by up to 5. 0%/2. 7% on CARGO and 3. 7%/5. 2% on AG-ReID, keeping the same magnitude of computational complexity.
Ranked #2 on Person Re-Identification on AG-ReID
1 code implementation • CVPR 2019 • Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
Its key difference from the literature is the replacement of the image-level feature based measure in the final layer by a local descriptor based image-to-class measure.
1 code implementation • 26 Mar 2024 • Jinyi Li, Yihuai Lan, Lei Wang, Hao Wang
Prompt compression is an innovative method for efficiently condensing input prompts while preserving essential information.
1 code implementation • 2 Sep 2021 • Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim
Over the last few years, there are a growing number of datasets and deep learning-based methods proposed for effectively solving MWPs.
Ranked #8 on Math Word Problem Solving on Math23K
1 code implementation • AAAI 2019 • Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bing Tian Dai, Heng Tao Shen
Then, we design a recursive neural network to encode the quantity with Bi-LSTM and self attention, and infer the unknown operator nodes in a bottom-up manner.
1 code implementation • 22 Mar 2019 • Hai-Jun Liao, Jin-Guo Liu, Lei Wang, Tao Xiang
Differentiable programming is a fresh programming paradigm which composes parameterized algorithmic components and trains them using automatic differentiation (AD).
Strongly Correlated Electrons Quantum Physics
1 code implementation • 6 Apr 2023 • Lei Wang, Ee-Peng Lim
Large language models (LLMs) have achieved impressive zero-shot performance in various natural language processing (NLP) tasks, demonstrating their capabilities for inference without training examples.
1 code implementation • Bioinformatics 2019 • Ling Luo, Zhihao Yang, Pei Yang, Yin Zhang, Lei Wang, Hongfei Lin, Jian Wang
Motivation: In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information extraction.
Ranked #2 on Named Entity Recognition (NER) on BC4CHEMD
1 code implementation • 24 Dec 2023 • Xinglin Xiao, Yijie Wang, Nan Xu, Yuqi Wang, Hanxuan Yang, Minzheng Wang, Yin Luo, Lei Wang, Wenji Mao, Daniel Zeng
The difficulty of the information extraction task lies in dealing with the task-specific label schemas and heterogeneous data structures.
2 code implementations • 27 Sep 2018 • Dian Wu, Lei Wang, Pan Zhang
We propose a general framework for solving statistical mechanics of systems with finite size.
1 code implementation • 2 May 2024 • Wenshuo Chen, Hongru Xiao, Erhang Zhang, Lijie Hu, Lei Wang, Mengyuan Liu, Chen Chen
We present a methodology for constructing an SATO that satisfies the stability of attention and prediction.
1 code implementation • 28 Nov 2020 • Xiwu Zhang, Lei Wang, Yan Su
Visual place recognition has attracted widespread research interest in multiple fields such as computer vision and robotics.
2 code implementations • 8 Feb 2018 • Shuo-Hui Li, Lei Wang
We present a variational renormalization group (RG) approach using a deep generative model based on normalizing flows.
1 code implementation • ACL 2020 • Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, Ee-Peng Lim
While the recent tree-based neural models have demonstrated promising results in generating solution expression for the math word problem (MWP), most of these models do not capture the relationships and order information among the quantities well.
Ranked #10 on Math Word Problem Solving on Math23K
3 code implementations • 27 Mar 2022 • Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao
The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlabeled data, whereas most existing methods tend to put a great emphasis on the utilization of high-confidence samples yet seldom fully explore the usage of low-confidence samples.
3 code implementations • 9 Aug 2022 • Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi
In this work, we propose Reciprocal Distribution Alignment (RDA) to address semi-supervised learning (SSL), which is a hyperparameter-free framework that is independent of confidence threshold and works with both the matched (conventionally) and the mismatched class distributions.
2 code implementations • ICCV 2023 • Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi
Semi-supervised learning (SSL) tackles the label missing problem by enabling the effective usage of unlabeled data.
2 code implementations • 19 Dec 2023 • Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi
While semi-supervised learning (SSL) has yielded promising results, the more realistic SSL scenario remains to be explored, in which the unlabeled data exhibits extremely high recognition difficulty, e. g., fine-grained visual classification in the context of SSL (SS-FGVC).
1 code implementation • ICCV 2021 • Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao
Given only a few available images for a novel unseen category, few-shot image generation aims to generate more data for this category.
4 code implementations • 27 Feb 2024 • Shuming Ma, Hongyu Wang, Lingxiao Ma, Lei Wang, Wenhui Wang, Shaohan Huang, Li Dong, Ruiping Wang, Jilong Xue, Furu Wei
Recent research, such as BitNet, is paving the way for a new era of 1-bit Large Language Models (LLMs).
1 code implementation • 27 Sep 2019 • Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, DaCheng Tao, Edwin Hancock
To address these problems, we propose a generic inpainting framework capable of handling with incomplete images on both continuous and discontinuous large missing areas, in an adversarial manner.
1 code implementation • 16 Aug 2020 • Jin-Guo Liu, Lei Wang, Pan Zhang
We present a unified exact tensor network approach to compute the ground state energy, identify the optimal configuration, and count the number of solutions for spin glasses.
Statistical Mechanics Quantum Physics Computation
1 code implementation • 25 Jul 2023 • YiFei Gao, Lei Wang, Jun Fang, Longhua Hu, Jun Cheng
Recently, with the emergence of numerous Large Language Models (LLMs), the implementation of AI has entered a new era.
1 code implementation • ICCV 2023 • Jiabang He, Lei Wang, Yi Hu, Ning Liu, Hui Liu, Xing Xu, Heng Tao Shen
To this end, we propose a simple but effective in-context learning framework called ICL-D3IE, which enables LLMs to perform DIE with different types of demonstration examples.
3 code implementations • AAAI Conference on Artificial Intelligence 2022 • Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li
As an asset pricing model in economics and finance, factor model has been widely used in quantitative investment.
1 code implementation • 13 Feb 2018 • Yunhui Long, Vincent Bindschaedler, Lei Wang, Diyue Bu, Xiao-Feng Wang, Haixu Tang, Carl A. Gunter, Kai Chen
Membership Inference Attack (MIA) determines the presence of a record in a machine learning model's training data by querying the model.
1 code implementation • 14 Nov 2018 • Lei Wang, Yan Wang, Deng Cai, Dongxiang Zhang, Xiaojiang Liu
Moreover, we analyze the performance of three popular SEQ2SEQ models on the math word problem solving.
1 code implementation • 13 Jul 2023 • Tao Ge, Jing Hu, Lei Wang, Xun Wang, Si-Qing Chen, Furu Wei
These promising results imply a novel perspective on the connection between working memory in cognitive science and representation learning in LLMs, revealing ICAE's significant implications in addressing the long context problem and suggesting further research in LLM context management.
4 code implementations • 11 Apr 2018 • Jin-Guo Liu, Lei Wang
However, similar to the leading implicit generative models in deep learning, such as the generative adversarial networks, the quantum circuits cannot provide the likelihood of the generated samples, which poses a challenge to the training.
1 code implementation • 6 Sep 2017 • Zhao-Yu Han, Jun Wang, Heng Fan, Lei Wang, Pan Zhang
Generative modeling, which learns joint probability distribution from data and generates samples according to it, is an important task in machine learning and artificial intelligence.
2 code implementations • 27 Apr 2020 • Wei Tang, Hong-Hao Tu, Lei Wang
We present an algorithm for studying quantum systems at finite temperature using continuous matrix product operator representation.
Strongly Correlated Electrons Statistical Mechanics Computational Physics
1 code implementation • 18 Sep 2023 • Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou
First, it attains state-of-the-art (SOTA) performance by training only the lightweight visual alignment module while freezing all the parameters of LLM.
1 code implementation • 24 Dec 2019 • Jin-Guo Liu, Liang Mao, Pan Zhang, Lei Wang
We extend the ability of unitary quantum circuits by interfacing it with classical autoregressive neural networks.
Quantum Physics
1 code implementation • 15 Sep 2021 • Binghong Wu, Yehui Yang, Dalu Yang, Junde Wu, Xiaorong Wang, Haifeng Huang, Lei Wang, Yanwu Xu
Based on focal loss with ATSS-R50, our approach achieves 40. 5 AP, surpassing the state-of-the-art QFL (Quality Focal Loss, 39. 9 AP) and VFL (Varifocal Loss, 40. 1 AP).
1 code implementation • 18 May 2021 • Hao Xie, Linfeng Zhang, Lei Wang
The variational density matrix is parametrized by a permutation equivariant many-body unitary transformation together with a discrete probabilistic model.
1 code implementation • Findings (NAACL) 2022 • Zhenwen Liang, Jipeng Zhang, Lei Wang, Wei Qin, Yunshi Lan, Jie Shao, Xiangliang Zhang
Math word problem (MWP) solving faces a dilemma in number representation learning.
Ranked #5 on Math Word Problem Solving on MathQA
1 code implementation • 26 Sep 2018 • Linfeng Zhang, Weinan E, Lei Wang
We present a deep generative model, named Monge-Amp\`ere flow, which builds on continuous-time gradient flow arising from the Monge-Amp\`ere equation in optimal transport theory.
1 code implementation • 30 Sep 2019 • Shuo-Hui Li, Chen-Xiao Dong, Linfeng Zhang, Lei Wang
We construct flexible and powerful canonical transformations as generative models using symplectic neural networks.
1 code implementation • 17 Dec 2019 • Xin Feng, Lei Wang
At the same time, in order to solve the problem of overfitting in the 61 phoneme recognition model on TIMIT dataset, we propose a new training method.
1 code implementation • 28 Feb 2024 • Lei Wang, Wanyu Xu, Zhiqiang Hu, Yihuai Lan, Shan Dong, Hao Wang, Roy Ka-Wei Lee, Ee-Peng Lim
This paper introduces a new in-context learning (ICL) mechanism called In-Image Learning (I$^2$L) that combines demonstration examples, visual cues, and chain-of-thought reasoning into an aggregated image to enhance the capabilities of Large Multimodal Models (e. g., GPT-4V) in multimodal reasoning tasks.
1 code implementation • 23 Mar 2024 • Zhendong Cao, Xiaoshan Luo, Jian Lv, Lei Wang
We introduce CrystalFormer, a transformer-based autoregressive model specifically designed for space group-controlled generation of crystalline materials.
1 code implementation • 4 May 2021 • Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Bob McKay, Saeed Anwar, Tom Gedeon
Recent skeleton-based action recognition methods extract features from 3D joint coordinates as spatial-temporal cues, using these representations in a graph neural network for feature fusion to boost recognition performance.
Ranked #20 on Skeleton Based Action Recognition on NTU RGB+D 120
1 code implementation • 3 Sep 2022 • Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao
Recently, contrastive learning has been applied to the sequential recommendation task to address data sparsity caused by users with few item interactions and items with few user adoptions.
6 code implementations • 7 Feb 2019 • Jin-Guo Liu, Yi-Hong Zhang, Yuan Wan, Lei Wang
One can obtain a matrix product state (MPS) representation of the ground state using a number of qubits smaller than the physical degrees of freedom.
Quantum Physics Strongly Correlated Electrons
1 code implementation • ICCV 2021 • Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu
To further improve the performance of these tasks, we propose a novel Hand Image Understanding (HIU) framework to extract comprehensive information of the hand object from a single RGB image, by jointly considering the relationships between these tasks.
1 code implementation • 17 Jan 2017 • Jing Chen, Song Cheng, Haidong Xie, Lei Wang, Tao Xiang
Conversely, we give sufficient and necessary conditions to determine whether a TNS can be transformed into an RBM of given architectures.
1 code implementation • 27 Apr 2018 • Jinquan Sun, Yinghuan Shi, Yang Gao, Lei Wang, Luping Zhou, Wanqi Yang, Dinggang Shen
In this paper, we present a novel method for interactive medical image segmentation with the following merits.
3 code implementations • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019 • Chuang Geng, Lei Wang
Previous speech enhancement methods focus on estimating the short-time spectrum of speech signals due to its short-term stability.
Ranked #23 on Speech Enhancement on VoiceBank + DEMAND
Sound Audio and Speech Processing
1 code implementation • 22 Oct 2022 • Chiyu Zhang, Xiaogang Xu, Lei Wang, Zaiyan Dai, Jun Yang
Transformer's recent integration into style transfer leverages its proficiency in establishing long-range dependencies, albeit at the expense of attenuated local modeling.
1 code implementation • 11 Oct 2023 • Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang
To obtain demonstration examples with high-quality explanations, we propose a new explanation generation bootstrapping to iteratively refine generated explanations by considering the previous generation and template-based hint.
1 code implementation • 27 Nov 2022 • Lei Wang, Jiabang He, Xing Xu, Ning Liu, Hui Liu
In this paper, we propose a new model architecture with alignment-enriched tuning (dubbed AETNet) upon pre-trained document image models, to adapt downstream tasks with the joint task-specific supervised and alignment-aware contrastive objective.
1 code implementation • Advances in Neural Information Processing Systems 2022 • Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen
With the images output by the encoder-decoder network, another classifier is designed to learn the domain-invariant features to conduct image classification.
Ranked #18 on Domain Generalization on PACS
1 code implementation • 9 Mar 2021 • Chaohao Xie, Dongwei Ren, Lei Wang, WangMeng Zuo
For learning pseudo mask generator from the auxiliary dataset, we present a bi-level optimization formulation.
1 code implementation • 19 Jul 2023 • Leilei Ma, Dengdi Sun, Lei Wang, Haifeng Zhao, Bin Luo
Specifically, we leverage semantic-aware representation learning to extract category-related local discriminative features and construct category prototypes.
Ranked #1 on Multi-Label Learning on COCO 2014
1 code implementation • ACL 2019 • Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai, Dongxiang Zhang
Several deep learning models have been proposed for solving math word problems (MWPs) automatically.
Ranked #13 on Math Word Problem Solving on Math23K
1 code implementation • 3 Sep 2020 • Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang
Using the sequence labeling framework to implement biomedical named entity recognition (BioNER) is currently a conventional method.
1 code implementation • 8 May 2023 • Yi Bin, Mengqun Han, Wenhao Shi, Lei Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen
For evaluating the possible expression variants, we design a path-based metric to evaluate the partial accuracy of expressions of a unified tree.
1 code implementation • 26 Aug 2023 • Chengkun Wei, Wenlong Meng, Zhikun Zhang, Min Chen, Minghu Zhao, Wenjing Fang, Lei Wang, Zihui Zhang, Wenzhi Chen
Instead of directly inverting the triggers, LMSanitator aims to invert the predefined attack vectors (pretrained models' output when the input is embedded with triggers) of the task-agnostic backdoors, which achieves much better convergence performance and backdoor detection accuracy.
1 code implementation • ICCV 2023 • Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi
Sample adaptive augmentation (SAA) is proposed for this stated purpose and consists of two modules: 1) sample selection module; 2) sample augmentation module.
1 code implementation • 29 Feb 2024 • Weijieying Ren, Xinlong Li, Lei Wang, Tianxiang Zhao, Wei Qin
Through extensive experiments, we uncover the mode connectivity phenomenon in the LLMs continual learning scenario and find that it can strike a balance between plasticity and stability.
1 code implementation • 10 Jan 2022 • Hao Xie, Linfeng Zhang, Lei Wang
The quasiparticle effective mass $m^\ast$ of interacting electrons is a fundamental quantity in the Fermi liquid theory.
1 code implementation • 13 Sep 2022 • Hao Xie, Zi-Hang Li, Han Wang, Linfeng Zhang, Lei Wang
We developed a deep generative model-based variational free energy approach to the equations of state of dense hydrogen.
1 code implementation • 21 Nov 2019 • Cong Sun, Zhihao Yang, Leilei Su, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang
Furthermore, the Gaussian probability distribution can effectively improve the extraction performance of sentences with overlapping relations in biomedical relation extraction tasks.
1 code implementation • Findings (EMNLP) 2021 • Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim
While diverse question answering (QA) datasets have been proposed and contributed significantly to the development of deep learning models for QA tasks, the existing datasets fall short in two aspects.
1 code implementation • 5 May 2023 • Lei Wang, Yi Hu, Jiabang He, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen
To address these issues, we propose a novel method termed T-SciQ that aims at teaching science question answering with LLM signals.
1 code implementation • 23 Oct 2023 • Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang
To achieve this goal, we adopt Avalon, a representative communication game, as the environment and use system prompts to guide LLM agents to play the game.
1 code implementation • 24 Jul 2021 • Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao
Together, the above two schemes give rise to a novel double-branch encoder segmentation framework for medical image segmentation, namely Crosslink-Net.
1 code implementation • 11 May 2023 • Bhanu Prakash Voutharoja, Lei Wang, Luping Zhou
At each iteration, conditioned on a given set of hard negative reports, image and report features are learned as usual by minimising the loss functions related to report generation.
5 code implementations • 6 Apr 2017 • Maciej Zieba, Lei Wang
Triplet networks are widely used models that are characterized by good performance in classification and retrieval tasks.
1 code implementation • 28 Dec 2020 • Piotr Koniusz, Lei Wang, Anoop Cherian
In this paper, we propose novel tensor representations for compactly capturing such higher-order relationships between visual features for the task of action recognition.
Ranked #2 on Skeleton Based Action Recognition on UT-Kinect
Action Recognition In Videos Skeleton Based Action Recognition
1 code implementation • 27 Oct 2022 • Bowen Shen, Zheng Lin, Yuanxin Liu, Zhengxiao Liu, Lei Wang, Weiping Wang
Motivated by such considerations, we propose a collaborative optimization for PLMs that integrates static model compression and dynamic inference acceleration.
1 code implementation • Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2022 • Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Ye Yu, Lei Wang, Qiang Ling
To overcome these difficulties, this paper first select fewer but suitable data augmentation methods to improve the accuracy of the supervised model based on the labeled training set, which is suitable for the characteristics of hyperspectral images.
1 code implementation • 24 Nov 2022 • Lei Wang, Hongyu Yang, Yi Lin, Suwan Yin, Yuankai Wu
Although DRL has achieved important advancements in this field, the existing works pay little attention to the explainability and safety issues related to DRL controllers, particularly the safety under adversarial attacks.
1 code implementation • 4 Dec 2023 • Lei Wang, Jiabang He, Shenshen Li, Ning Liu, Ee-Peng Lim
The fine-grained object attributes and behaviors non-existent in the image may still be generated but not measured by the current evaluation methods.
1 code implementation • 19 Apr 2024 • Yuchi Liu, Lei Wang, Yuli Zou, James Zou, Liang Zheng
For example, for a narrow misclassification, a calibrator trained by the CE loss often produces high confidence on the wrongly predicted class (e. g., a test sample is wrongly classified and its softmax score on the ground truth class is around 0. 4), which is undesirable.
1 code implementation • 20 Feb 2017 • Chunjie Luo, Jianfeng Zhan, Lei Wang, Qiang Yang
We compare cosine normalization with batch, weight and layer normalization in fully-connected neural networks as well as convolutional networks on the data sets of MNIST, 20NEWS GROUP, CIFAR-10/100 and SVHN.
1 code implementation • 24 Jun 2019 • Lei Wang, Du. Q. Huynh, Piotr Koniusz
Video-based human action recognition is currently one of the most active research areas in computer vision.
Ranked #85 on Skeleton Based Action Recognition on NTU RGB+D
1 code implementation • 16 Dec 2021 • Lei Wang
Human action recognition still exists many challenging problems such as different viewpoints, occlusion, lighting conditions, human body size and the speed of action execution, although it has been widely used in different areas.
1 code implementation • CVPR 2023 • Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun
Our work obtains a partial correlation based deep visual representation and mitigates the small sample problem often encountered by covariance matrix estimation in CNN.
1 code implementation • 26 Sep 2023 • Hanyue Du, Yike Zhao, Qingyuan Tian, Jiani Wang, Lei Wang, Yunshi Lan, Xuesong Lu
Chinese Grammatical Error Correction (CGEC) has been attracting growing attention from researchers recently.
1 code implementation • 5 Feb 2024 • Lei Wang, Xiuyuan Yuan, Tom Gedeon, Liang Zheng
Addressing these challenges, we propose the Taylor video, a new video format that highlights the dominate motions (e. g., a waving hand) in each of its frames named the Taylor frame.
1 code implementation • 16 Nov 2019 • Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo
(2) how to narrow the distribution gap between clean and adversarial examples under the few-shot setting?
1 code implementation • 24 Mar 2021 • Chunjie Luo, Jianfeng Zhan, Tianshu Hao, Lei Wang, Wanling Gao
The attention branch is gated using the Sigmoid function and multiplied by the feature map's trunk branch.
1 code implementation • 5 Jun 2023 • Jiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen
Results from the experiments demonstrate that there is a significant performance gap between the in-distribution (ID) and OOD settings for document images, and that fine-grained analysis of distribution shifts can reveal the brittle nature of existing pre-trained VDU models and OOD generalization algorithms.
1 code implementation • NeurIPS 2015 • Haoyuan Gao, Junhua Mao, Jie zhou, Zhiheng Huang, Lei Wang, Wei Xu
The quality of the generated answers of our mQA model on this dataset is evaluated by human judges through a Turing Test.
1 code implementation • 8 Dec 2017 • Jun Wang, Zhao-Yu Han, Song-Bo Wang, Zeyang Li, Liang-Zhu Mu, Heng Fan, Lei Wang
We propose a quantum tomography scheme for pure qudit systems which adopts random base measurements and generative learning methods, along with a built-in fidelity estimation approach to assess the reliability of the tomographic states.
Quantum Physics
1 code implementation • 30 Nov 2021 • Lei Qi, Jiaqi Liu, Lei Wang, Yinghuan Shi, Xin Geng
A significance of our work lies in that it shows the potential of unsupervised domain generalization for person ReID and sets a strong baseline for the further research on this topic.
1 code implementation • 30 Oct 2022 • Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz
To address these drawbacks, we propose a Time-rEversed diffusioN tEnsor Transformer (TENET), which i) forms high-order tensor representations that capture multi-way feature occurrences that are highly discriminative, and ii) uses a transformer that dynamically extracts correlations between the query image and the entire support set, instead of a single average-pooled support embedding.
1 code implementation • 12 Aug 2021 • Ziwei Yang, Ruyi Zhang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li
One-shot neural architecture search (NAS) applies weight-sharing supernet to reduce the unaffordable computation overhead of automated architecture designing.
1 code implementation • 30 Oct 2022 • Lei Wang, Piotr Koniusz
Dynamic Time Warping (DTW) is used for matching pairs of sequences and celebrated in applications such as forecasting the evolution of time series, clustering time series or even matching sequence pairs in few-shot action recognition.
1 code implementation • 15 Nov 2022 • Leilei Gan, Baokui Li, Kun Kuang, Yating Zhang, Lei Wang, Luu Anh Tuan, Yi Yang, Fei Wu
Given the fact description text of a legal case, legal judgment prediction (LJP) aims to predict the case's charge, law article and penalty term.
1 code implementation • 8 Jul 2014 • Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li
A comprehensive experimental study is conducted on a variety of image classification tasks to compare our proposed discriminative Stein kernel with the original Stein kernel and other commonly used methods for evaluating the similarity between SPD matrices.
1 code implementation • 24 Dec 2018 • Tailin Liang, Lei Wang, Shaobo Shi, John Glossner
Of the networks considered, those using ReLU (AlexNet, SqueezeNet, VGG16) contain a high percentage of 0-valued parameters and can be statically pruned.
1 code implementation • 19 May 2021 • Minghuan Tan, Lei Wang, Lingxiao Jiang, Jing Jiang
In this paper, we revisit math word problems~(MWPs) from the cross-lingual and multilingual perspective.
1 code implementation • 22 Jul 2021 • Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
However, in small data regimes, we can not obtain a sufficient number of negative pairs or effectively avoid the over-fitting problem when negatives are not used at all.
1 code implementation • Findings (ACL) 2022 • Zhen Wang, Yating Yang, Zhou Xi, Bo Ma, Lei Wang, Rui Dong, Azmat Anwar
We also propose a stable semi-supervised method named stair learning (SL) that orderly distills knowledge from better models to weaker models.
1 code implementation • 23 Aug 2023 • Lei Wang, Zejian yuan, Yao Lu, Badong Chen
We also propose a self-supervised learning approach to enhance the prediction ability of the tail-prefer feature representation branch by constraining tail-prefer predicate features.
1 code implementation • 26 Nov 2023 • Lei Wang, Yibing Zhan, Leilei Ma, Dapeng Tao, Liang Ding, Chen Gong
The "splice" in our method is two-fold: 1) Each mixed image is a splice of several downsampled images in the form of a grid, where the semantics of images attending to mixing are blended without object deficiencies for alleviating co-occurred bias; 2) We splice mixed images and the original mini-batch to form a new SpliceMixed mini-batch, which allows an image with different scales to contribute to training together.
1 code implementation • 15 May 2018 • Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo
Furthermore, in a progressively and nonlinearly learning way, MLOML has a stronger learning ability than traditional online metric learning in the case of limited available training data.
1 code implementation • 29 Nov 2018 • Lei Wang, Svetlana Tlupova, Robert Krasny
Evaluating the velocity induced by a collection of Stokeslets and stresslets by direct summation requires $O(N^2)$ operations, where $N$ is the system size.
Numerical Analysis
1 code implementation • 6 Feb 2019 • Lei Wang, Robert Krasny, Svetlana Tlupova
A kernel-independent treecode (KITC) is presented for fast summation of pairwise particle interactions.
Numerical Analysis
1 code implementation • 12 Aug 2021 • Ruyi Zhang, Ziwei Yang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li
To alleviate this problem, we propose a novel framework to train an accuracy predictor under few training samples.
1 code implementation • 3 Sep 2022 • Yunshi Lan, Lei Wang, Jing Jiang, Ee-Peng Lim
To improve the compositional generalization in MWP solving, we propose an iterative data augmentation method that includes diverse compositional variation into training data and could collaborate with MWP methods.
1 code implementation • 18 Sep 2022 • Lei Wang, Bo Liu, Bincheng Wang, Fuqiang Yu
In this study, we propose a multi-granularity motion representation network (GaitMM) for gait sequence learning.
1 code implementation • 15 Mar 2024 • Lei Wang, Ee-Peng Lim
Large language models (LLMs) have shown excellent performance on various NLP tasks.
1 code implementation • 31 Mar 2024 • Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao
However, these methods face two primary limitations: the dispersed feature distribution within the same class in synthetic datasets, reducing class discrimination, and an exclusive focus on mean feature consistency, lacking precision and comprehensiveness.
no code implementations • 22 Apr 2018 • Fusheng Hao, Jun Cheng, Lei Wang, Xinchao Wang, Jianzhong Cao, Xiping Hu, Dapeng Tao
Discriminative features are obtained by constraining the deep CNNs to map training samples to the corresponding anchors as close as possible.
no code implementations • 11 Apr 2018 • Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao
Lastly, considering person retrieval is a special image retrieval task, we propose a novel ranking loss to optimize the whole network.
no code implementations • 23 Feb 2018 • Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Xu Wen, Rui Ren, Chen Zheng, Xiwen He, Hainan Ye, Haoning Tang, Zheng Cao, Shujie Zhang, Jiahui Dai
On the basis of our previous work that identifies eight data motifs taking up most of the run time of a wide variety of big data and AI workloads, we propose a scalable benchmarking methodology that uses the combination of one or more data motifs---to represent diversity of big data and AI workloads.
no code implementations • 8 Jan 2018 • Yangyang Xu, Lei Wang
Our first subnet is a two-stream network which could explore both temporal and spatial information.
no code implementations • 12 Jan 2018 • Feng-Lin Li, Minghui Qiu, Haiqing Chen, Xiongwei Wang, Xing Gao, Jun Huang, Juwei Ren, Zhongzhou Zhao, Weipeng Zhao, Lei Wang, Guwei Jin, Wei Chu
We present AliMe Assist, an intelligent assistant designed for creating an innovative online shopping experience in E-commerce.
no code implementations • 25 Oct 2017 • Jiechao Cheng, Rui Ren, Lei Wang, Jianfeng Zhan
The increasing popularity of server usage has brought a plenty of anomaly log events, which have threatened a vast collection of machines.
no code implementations • 12 Dec 2017 • Song Cheng, Jing Chen, Lei Wang
We compare and contrast the statistical physics and quantum physics inspired approaches for unsupervised generative modeling of classical data.
no code implementations • ECCV 2018 • Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu
Being symmetric positive-definite (SPD), covariance matrix has traditionally been used to represent a set of local descriptors in visual recognition.
no code implementations • 2 Nov 2017 • Karteek Popuri, Rakesh Balachandar, Kathryn Alpert, Donghuan Lu, Mahadev Bhalla, Ian Mackenzie, Robin Ging-Yuek Hsiung, Lei Wang, Mirza Faisal Beg, the Alzhemier's Disease Neuroimaging Initiative
Fluorodeoxyglucose positron emission tomography (FDG-PET) imaging based 3D topographic brain glucose metabolism patterns from normal controls (NC) and individuals with dementia of Alzheimer's type (DAT) are used to train a novel multi-scale ensemble classification model.
no code implementations • 23 Sep 2017 • Yuanfang Chen, Mohsen Guizani, Yan Zhang, Lei Wang, Noel Crespi, Gyu Myoung Lee
Traffic congestion is one of the most serious problems in a city, which can be predicted in advance by analyzing traffic flow patterns.
no code implementations • 7 Mar 2017 • Zhixian Ma, Weitian Li, Lei Wang, Haiguang Xu, Jie Zhu
An approach to recognize the point sources (PS) in the X-ray astronomical images using our newly designed granular binary-tree support vector machine (GBT-SVM) classifier is proposed.
no code implementations • 28 Feb 2017 • Lei Wang
Boltzmann machines are physics informed generative models with wide applications in machine learning.
1 code implementation • 16 Jan 2016 • Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, Anton Van Den Hengel, Chao Wang, Heng Tao Shen
To handle this limitation, in this paper we break the convention which assumes that a local feature is drawn from one of few Gaussian distributions.
no code implementations • 6 Dec 2016 • Li Huang, Yi-feng Yang, Lei Wang
Exploiting the quantum to classical mapping inherent in the continuous-time quantum Monte Carlo methods, we construct a classical molecular gas model to reproduce the quantum distributions.
no code implementations • 27 Oct 2016 • Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li
A variety of methods have been proposed to boost its efficacy, with some recent ones resorting to nonlinear kernel technique.
no code implementations • 10 Oct 2016 • Li Huang, Lei Wang
Despite their exceptional flexibility and popularity, the Monte Carlo methods often suffer from slow mixing times for challenging statistical physics problems.
no code implementations • 29 Sep 2016 • Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi
To achieve a low computational cost when performing online metric learning for large-scale data, we present a one-pass closed-form solution namely OPML in this paper.
no code implementations • 1 Jun 2016 • Lei Wang
Unsupervised learning is a discipline of machine learning which aims at discovering patterns in big data sets or classifying the data into several categories without being trained explicitly.
no code implementations • 2 Mar 2016 • Lei Wang, Yongun Zhang
It utilizes the scan line information in LiDAR data to segment the LiDAR data.
no code implementations • 23 Jun 2015 • Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen
This brings two general discriminative learning frameworks for Gaussian Bayesian networks (GBN).
no code implementations • 31 May 2015 • Yajun Cui, Yang Zhao, Kafei Xiao, Chenglong Zhang, Lei Wang
Spectral clustering and cloud computing is emerging branch of computer science or related discipline.
no code implementations • 26 May 2015 • Lei Wang, Baochang Zhang
This paper proposes boosting-like deep learning (BDL) framework for pedestrian detection.
no code implementations • 10 Apr 2015 • Zhimin Gao, Lei Wang, Luping Zhou, Jianjia Zhang
Efficient Human Epithelial-2 (HEp-2) cell image classification can facilitate the diagnosis of many autoimmune diseases.
no code implementations • NeurIPS 2014 • Lingqiao Liu, Chunhua Shen, Lei Wang, Anton Van Den Hengel, Chao Wang
By calculating the gradient vector of the proposed model, we derive a new fisher vector encoding strategy, termed Sparse Coding based Fisher Vector Coding (SCFVC).
no code implementations • 30 Jan 2014 • Lingqiao Liu, Lei Wang, Chunhua Shen
In the third criterion, which shows the best merging performance, we propose a max-margin-based parameter estimation method and apply it with multinomial distribution.
no code implementations • 25 Jul 2018 • Qi Chen, Lei Wang, Yifan Wu, Guangming Wu, Zhiling Guo, Steven L. Waslander
In this paper, we present a new large-scale benchmark dataset termed Aerial Imagery for Roof Segmentation (AIRS).
no code implementations • 10 Aug 2018 • Jinfeng Zeng, Yufeng Wu, Jin-Guo Liu, Lei Wang, Jiangping Hu
Quantum mechanics is inherently probabilistic in light of Born's rule.
no code implementations • 10 Aug 2018 • Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Dodonova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman
We present a method for metric optimization in the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework, by treating the induced Riemannian metric on the space of diffeomorphisms as a kernel in a machine learning context.
no code implementations • 22 Aug 2018 • Dongxiang Zhang, Lei Wang, Luming Zhang, Bing Tian Dai, Heng Tao Shen
Solving mathematical word problems (MWPs) automatically is challenging, primarily due to the semantic gap between human-readable words and machine-understandable logics.
no code implementations • 31 Oct 2018 • Yi Zhen, Lei Wang, Han Liu, Jian Zhang, Jiantao Pu
Among these CNNs, the DenseNet had the highest classification accuracy (i. e., 75. 50%) based on pre-trained weights when using global ROIs, as compared to 65. 50% when using local ROIs.
no code implementations • 30 Oct 2018 • Han Liu, Lei Wang, Yandong Nan, Faguang Jin, Qi. Wang, Jiantao Pu
Two CNN-based classification models were then used as feature extractors to obtain the discriminative features of the entire CXR images and the cropped lung region images.
no code implementations • 14 Feb 2011 • Yixiong Liang, Lei Wang, Shenghui Liao, Beiji Zou
There is an increasing use of some imperceivable and redundant local features for face recognition.
no code implementations • 14 Feb 2011 • Yixiong Liang, Lei Wang, Yao Xiang, Beiji Zou
Inspired by biological vision systems, the over-complete local features with huge cardinality are increasingly used for face recognition during the last decades.
no code implementations • 13 Dec 2018 • Jun Gu, Guangluan Xu, Yue Zhang, Xian Sun, Ran Wen, Lei Wang
In this letter, we propose a novel single-image super-resolution (SISR) algorithm named Wider Channel Attention Network (WCAN) for remote sensing images.
no code implementations • EMNLP 2018 • Lei Wang, Yan Wang, Deng Cai, Dongxiang Zhang, Xiaojiang Liu
Moreover, we analyze the performance of three popular SEQ2SEQ models on the math word problem solving.
no code implementations • COLING 2018 • Chenggang Mi, Yating Yang, Lei Wang, Xi Zhou, Tonghai Jiang
Neural machine translation models integrating results of loanword identification experiments achieve the best results on OOV translation(with 0. 5-0. 9 BLEU improvements)
no code implementations • NeurIPS 2015 • Haoyuan Gao, Junhua Mao, Jie zhou, Zhiheng Huang, Lei Wang, Wei Xu
The quality of the generated answers of our mQA model on this dataset is evaluated by human judges through a Turing Test.
no code implementations • NeurIPS 2009 • Chunhua Shen, Junae Kim, Lei Wang, Anton Hengel
In this work, we propose a boosting-based technique, termed BoostMetric, for learning a Mahalanobis distance metric.
no code implementations • NeurIPS 2008 • Chunhua Shen, Alan Welsh, Lei Wang
In this work, we consider the problem of learning a positive semidefinite matrix.
no code implementations • ICLR 2019 • Linfeng Zhang, Weinan E, Lei Wang
We present a deep generative model, named Monge-Amp\`ere flow, which builds on continuous-time gradient flow arising from the Monge-Amp\`ere equation in optimal transport theory.
no code implementations • RANLP 2017 • Chenggang Mi, Yating Yang, Rui Dong, Xi Zhou, Lei Wang, Xiao Li, Tonghai Jiang
To alleviate data sparsity in spoken Uyghur machine translation, we proposed a log-linear based morphological segmentation approach.
no code implementations • 8 Jan 2019 • Song Cheng, Lei Wang, Tao Xiang, Pan Zhang
Matrix product states (MPS), a tensor network designed for one-dimensional quantum systems, has been recently proposed for generative modeling of natural data (such as images) in terms of `Born machine'.
no code implementations • CVPR 2013 • Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen
Analyzing brain networks from neuroimages is becoming a promising approach in identifying novel connectivitybased biomarkers for the Alzheimer's disease (AD).
no code implementations • CVPR 2013 • Lei Wang, Jianjia Zhang, Luping Zhou, Wanqing Li
Distributional word clustering merges the words having similar probability distributions to attain reliable parameter estimation, compact classification models and even better classification performance.
no code implementations • CVPR 2014 • Luping Zhou, Lei Wang, Philip Ogunbona
In this paper, we propose a learning framework to effectively improve the discriminative power of SICEs by taking advantage of the samples in the opposite class.
no code implementations • CVPR 2017 • Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao
The proposed method has been tested on multiple SPD-based visual representation data sets used in the literature, and the results demonstrate its interesting properties and attractive performance.
no code implementations • ICCV 2015 • Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li
It proposes an open framework to use the kernel matrix over feature dimensions as a generic representation and discusses its properties and advantages.
no code implementations • 6 Mar 2019 • Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu
In recent years, hashing has attracted more and more attention owing to its superior capacity of low storage cost and high query efficiency in large-scale cross-modal retrieval.
no code implementations • ICCV 2019 • Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao
For the first issue, we highlight the presence of camera-level sub-domains as a unique characteristic of person Re-ID, and develop camera-aware domain adaptation to reduce the discrepancy not only between source and target domains but also across these sub-domains.
Ranked #19 on Unsupervised Domain Adaptation on Market to Duke
no code implementations • CVPR 2019 • Lei Wang, Yuchun Huang, Yaolin Hou, Shenman Zhang, Jie Shan
It neglects the structure of an object, results in poor object delineation and small spurious regions in the segmentation result.
Ranked #9 on Semantic Segmentation on Semantic3D
no code implementations • 1 Jun 2019 • Fanda Fan, Yunyou Huang, Lei Wang, Xingwang Xiong, Zihan Jiang, Zhifei Zhang, Jianfeng Zhan
Medical image fusion is a promising approach to providing overall information from medical images of different modalities.
no code implementations • ICCV 2019 • Lei Wang, Piotr Koniusz, Du. Q. Huynh
Thus, we propose an end-to-end trainable network with streams which learn the IDT-based BoW/FV representations at the training stage and are simple to integrate with the I3D model.
Ranked #3 on Scene Recognition on YUP++ (using extra training data)
1 code implementation • 27 Jun 2019 • Lei Wang, Du. Q. Huynh, Moussa Reda Mansour
We define our classification problem as classifying background and foreground motions using the same feature representation for outdoor scenes.
no code implementations • 3 Jul 2019 • Shaoze You, Hua Zhu, Menggang Li, Lei Wang, Chaoquan Tang
The experimental results show that the novel tracker performance in low-illumination environment is better than that of general trackers.
no code implementations • 23 Jul 2019 • Xiurui Geng, Lei Wang
Principal skewness analysis (PSA) has been introduced for feature extraction in hyperspectral imagery.
no code implementations • 2 Aug 2019 • Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao
To achieve the camera alignment, we develop a Multi-Camera Adversarial Learning (MCAL) to map images of different cameras into a shared subspace.
no code implementations • 27 Jul 2019 • Zihan Jiang, Wanling Gao, Lei Wang, Xingwang Xiong, Yuchen Zhang, Xu Wen, Chunjie Luo, Hainan Ye, Yunquan Zhang, Shengzhong Feng, Kenli Li, Weijia Xu, Jianfeng Zhan
In this paper, we propose HPC AI500 --- a benchmark suite for evaluating HPC systems that running scientific DL workloads.
no code implementations • 14 Aug 2019 • Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
Moreover, in the training process, we adopt the joint learning scheme to simultaneously train each branch by the independent loss function, which can enhance the generalization ability of each branch.
no code implementations • 15 Aug 2019 • Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
In this paper, we focus on the semi-supervised person re-identification (Re-ID) case, which only has the intra-camera (within-camera) labels but not inter-camera (cross-camera) labels.
no code implementations • 21 Aug 2019 • Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zheng-Jun Zha, Meng Wang
Specifically, AS-LRC performs the latent decomposition of given data into a low-rank reconstruction by a block-diagonal codes matrix, a group sparse locality-adaptive salient feature part and a sparse error part.
no code implementations • 13 Aug 2019 • Wanling Gao, Fei Tang, Lei Wang, Jianfeng Zhan, Chunxin Lan, Chunjie Luo, Yunyou Huang, Chen Zheng, Jiahui Dai, Zheng Cao, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Tong Wu, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
On the basis of the AIBench framework, abstracting the real-world data sets and workloads from one of the top e-commerce providers, we design and implement the first end-to-end Internet service AI benchmark, which contains the primary modules in the critical paths of an industry scale application and is scalable to deploy on different cluster scales.
no code implementations • 26 Sep 2019 • Qingbo Wu, Lei Wang, King N. Ngan, Hongliang Li, Fanman Meng, Linfeng Xu
Then, a subjective study is conducted on our DQA database, which collects the subject-rated scores of all de-rained images.
no code implementations • 20 Nov 2019 • Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou
This paper provides a comprehensive review of the existing deep learning based HEp-2 cell image classification methods.
no code implementations • 23 Nov 2019 • Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao
To address the annotation scarcity issue in some cases of semantic segmentation, there have been a few attempts to develop the segmentation model in the few-shot learning paradigm.
no code implementations • 2 Dec 2019 • Jianfeng Zhan, Lei Wang, Wanling Gao, Rui Ren
This paper outlines BenchCouncil's view on the challenges, rules, and vision of benchmarking modern workloads like Big Data, AI or machine learning, and Internet Services.
no code implementations • 20 Dec 2019 • Xi Liu, Rui Zhang, Yongsheng Zhou, Qianyi Jiang, Qi Song, Nan Li, Kai Zhou, Lei Wang, Dong Wang, Minghui Liao, Mingkun Yang, Xiang Bai, Baoguang Shi, Dimosthenis Karatzas, Shijian Lu, C. V. Jawahar
21 teams submit results for Task 1, 23 teams submit results for Task 2, 24 teams submit results for Task 3, and 13 teams submit results for Task 4.
no code implementations • 14 Jan 2020 • Lei Wang, Piotr Koniusz
In this paper, we build on a concept of self-supervision by taking RGB frames as input to learn to predict both action concepts and auxiliary descriptors e. g., object descriptors.
Ranked #1 on Scene Recognition on YUP++ (using extra training data)
no code implementations • 1 Feb 2020 • Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo
Given the natural asymmetric relation between a query image and a support class, we argue that an asymmetric measure is more suitable for metric-based few-shot learning.
no code implementations • 6 Aug 2019 • Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng, Lei Wang, Hainan Ye, Kai Hwang, Zujie Ren, Jianfeng Zhan
In edge computing scenarios, the distribution of data and collaboration of workloads on different layers are serious concerns for performance, privacy, and security issues.
Performance Distributed, Parallel, and Cluster Computing
no code implementations • 17 Feb 2020 • Wanling Gao, Fei Tang, Jianfeng Zhan, Chuanxin Lan, Chunjie Luo, Lei Wang, Jiahui Dai, Zheng Cao, Xiongwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Xu Wen, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Gang Lu, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
An end-to-end benchmark is a distillation of the essential attributes of an industry-scale application.
no code implementations • 6 Mar 2020 • Olatunji Mumini Omisore, Wenjing Du, Tao Zhou, Shipeng Han, Kamen Ivanov, Yousef Al-Handarish, Lei Wang
Despite having the robotic catheter systems which have recently emerged as safe way of performing cardiovascular interventions, a number of important challenges are yet to be investigated.
no code implementations • 11 Mar 2020 • Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang
Deep Neural Network (DNN) has been showing great potential in kinds of real-world applications such as fraud detection and distress prediction.
no code implementations • 12 Mar 2020 • Chunjie Luo, Jianfeng Zhan, Lei Wang, Wanling Gao
To alleviate the problem caused by small batch size, extended batch normalization computes the standard deviation along the (N, C, H, W) dimensions, thus enlarges the number of samples from which the standard deviation is computed.
Ranked #62 on Image Classification on STL-10
no code implementations • 15 Mar 2020 • Lei Wang, Wenbin Huang, Yuanpeng Li, Julian Evans, Sailing He
We model and predict human competition behavior by combining many Markov Models with different fixed memory lengths (abbreviated as "multi-AI"), and develop an architecture of multi-AI with changeable parameters to adapt to different competition strategies.
no code implementations • CVPR 2021 • Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren
Neural Architecture Search (NAS) has shown great potentials in automatically designing scalable network architectures for dense image predictions.
Ranked #13 on Semantic Segmentation on Cityscapes test (using extra training data)
no code implementations • 6 Apr 2020 • Shasha Guo, Lianhua Qu, Lei Wang, Shuo Tian, Shiming Li, Weixia Xu
To mitigate the difficulty in effectively dealing with huge input spaces of LSM, and to find that whether input reduction can enhance LSM performance, we explore several input patterns, namely fullscale, scanline, chessboard, and patch.
no code implementations • 10 Apr 2020 • Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang
Nowadays, the utilization of the ever expanding amount of data has made a huge impact on web technologies while also causing various types of security concerns.
no code implementations • 8 Apr 2020 • Shasha Guo, Ziyang Kang, Lei Wang, Limeng Zhang, Xiaofan Chen, Shiming Li, Weixia Xu
Neuromorphic event-based dynamic vision sensors (DVS) have much faster sampling rates and a higher dynamic range than frame-based imagers.
Emerging Technologies Signal Processing
no code implementations • 7 Apr 2020 • Shuo Tian, Lianhua Qu, Kai Hu, Nan Li, Lei Wang, Weixia Xu
By exploring the design space in network architectures and parameters, recent works have demonstrated great potential for improving the accuracy of LSM model with low complexity.