no code implementations • 19 Jan 2023 • Shizun Wang, Weihong Zeng, Xu Wang, Hao Yang, Li Chen, Chuang Zhang, Ming Wu, Yi Yuan, Yunzhao Zeng, Min Zheng
To this end, we propose SwiftAvatar, a novel avatar auto-creation framework that is evidently superior to previous works.
no code implementations • 18 Jan 2023 • Yunpu Zhang, Changsheng You, Li Chen, Beixiong Zheng
For this scenario, we first obtain a closed-form expression for the inter-user interference at the near-field user caused by the far-field beam by using Fresnel functions, based on which the effects of the number of BS antennas, far-field user (FU) angle, near-field user (NU) angle and distance are analyzed.
1 code implementation • 3 Jan 2023 • Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao
To this end, we propose PPGeo (Policy Pre-training via Geometric modeling), an intuitive and straightforward fully self-supervised framework curated for the policy pretraining in visuomotor driving.
1 code implementation • 20 Dec 2022 • Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li
Modern autonomous driving system is characterized as modular tasks in sequential order, i. e., perception, prediction and planning.
no code implementations • 12 Dec 2022 • Raghav Mehta, Vítor Albiero, Li Chen, Ivan Evtimov, Tamar Glaser, Zhiheng Li, Tal Hassner
With experiments on a wide range of pre-trained models and pre-training datasets, we show that the capacity of the pre-training model and the size of the pre-training dataset matters.
no code implementations • 6 Dec 2022 • Estelle Cantillon, Li Chen, Juan S. Pereyra
We identify a new condition on school choice markets under which DA is efficient and there is a unique allocation that respects priorities.
no code implementations • 16 Nov 2022 • Jingbang Chen, Li Chen
In this paper, we present a simple BST maintenance scheme that benefits from learned advice.
no code implementations • 26 Oct 2022 • Carey E. Priebe, Ningyuan Huang, Soledad Villar, Cong Mu, Li Chen
We conjecture that for general label noise, mitigation strategies that make use of the noisy data will outperform those that ignore the noisy data.
no code implementations • 17 Oct 2022 • Jing Zhang, Zhao Li, Jiqiang Zhang, Lin Ma, Guozhong Zheng, Li Chen
Here we show that oscillatory behaviors naturally emerge if incomplete information is incorporated into the cooperation evolution of a non-Markov model.
2 code implementations • 12 Sep 2022 • Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Enze Xie, Zhiqi Li, Hanming Deng, Hao Tian, Xizhou Zhu, Li Chen, Yulu Gao, Xiangwei Geng, Jia Zeng, Yang Li, Jiazhi Yang, Xiaosong Jia, Bohan Yu, Yu Qiao, Dahua Lin, Si Liu, Junchi Yan, Jianping Shi, Ping Luo
As sensor configurations get more complex, integrating multi-source information from different sensors and representing features in a unified view come of vital importance.
no code implementations • 25 Jul 2022 • Li Chen, Juan S. Pereyra, Min Zhu
Recent literature shows that dynamic matching mechanisms may outperform the standard mechanisms to deliver desirable results.
no code implementations • 20 Jul 2022 • Luojie Huang, Yikang Liu, Li Chen, Eric Z. Chen, Xiao Chen, Shanhui Sun
Even though angioplasty devices are designed to have radiopaque markers for the ease of tracking, current methods struggle to deliver satisfactory results due to the small marker size and complex scenes in angioplasty.
1 code implementation • 15 Jul 2022 • Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, DaCheng Tao
In particular, we propose a spatial-temporal feature learning scheme towards a set of more representative features for perception, prediction and planning tasks simultaneously, which is called ST-P3.
no code implementations • 2 Jul 2022 • Ang Chen, Li Chen, Yunfei Chen, Guo Wei
The CRBs using various electric fields in this case are derived and the effect of different numbers of receiving antennas on estimation accuracy is investigated.
1 code implementation • 25 Jun 2022 • Wang Shen, Cheng Ming, Wenbo Bao, Guangtao Zhai, Li Chen, Zhiyong Gao
With AutoFI and SktFI, the interpolated animation frames show high perceptual quality.
1 code implementation • 16 Jun 2022 • Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao
The two branches are connected so that the control branch receives corresponding guidance from the trajectory branch at each time step.
Ranked #2 on
Autonomous Driving
on CARLA Leaderboard
1 code implementation • 16 Jun 2022 • Li Chen, Tutian Tang, Zhitian Cai, Yang Li, Penghao Wu, Hongyang Li, Jianping Shi, Junchi Yan, Yu Qiao
Equipped with a wide span of sensors, predominant autonomous driving solutions are becoming more modular-oriented for safe system design.
no code implementations • 28 May 2022 • Li Chen, Ningyuan Huang, Cong Mu, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe
Our hierarchical approach improves upon regular deep neural networks in learning with label noise.
no code implementations • 30 Apr 2022 • Xiaosong Jia, Penghao Wu, Li Chen, Hongyang Li, Yu Liu, Junchi Yan
One essential task for autonomous driving is to encode the information of a driving scene into vector representations so that the downstream task such as trajectory prediction could perform well.
no code implementations • 14 Apr 2022 • Li Chen, Rongjiang Nie, Yunfei Chen, Weidong Wang
The results reveal that the estimation errors of mismatch coefficients of digital and analog chains are uncorrelated, and that the mismatch coefficients of receive digital chains can be estimated perfectly.
no code implementations • 23 Mar 2022 • Yang Liu, Jiaxiang Liu, Li Chen, Yuxiang Lu, Shikun Feng, Zhida Feng, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
We argue that two factors, information bottleneck sensitivity and inconsistency between different attention topologies, could affect the performance of the Sparse Transformer.
2 code implementations • 21 Mar 2022 • Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan
Methods for 3D lane detection have been recently proposed to address the issue of inaccurate lane layouts in many autonomous driving scenarios (uphill/downhill, bump, etc.).
Ranked #1 on
3D Lane Detection
on OpenLane
no code implementations • 17 Mar 2022 • Dietmar Jannach, Li Chen
Animated avatars, which look and talk like humans, are iconic visions of the future of AI-powered systems.
no code implementations • 11 Mar 2022 • Qifan Jin, Li Chen
Therefore, this paper reviews the methods of surface defect detection of industrial products based on a small number of labeled data, and this method is divided into traditional image processing-based industrial product surface defect detection methods and deep learning-based industrial product surface defect detection methods suitable for a small number of labeled data.
1 code implementation • 15 Feb 2022 • Lei LI, Yongfeng Zhang, Li Chen
In the latter case, ID vectors are randomly initialized but the model is trained in advance on large corpora, so they are actually in different learning stages.
no code implementations • 12 Feb 2022 • Guozhong Zheng, Jiqiang Zhang, Rizhou Liang, Lin Ma, Li Chen
Behavioral experiments on the Ultimatum Game have shown that we human beings have remarkable preference in fair play, contradicting the predictions by the game theory.
no code implementations • 6 Feb 2022 • Yuan Tian, Guo Lu, Yichao Yan, Guangtao Zhai, Li Chen, Zhiyong Gao
However, in real-world scenarios, the videos are first compressed before the transportation and then decompressed for understanding.
1 code implementation • CVPR 2022 • Jiahao Yu, Li Chen, Mingrui Zhang, Mading Li
While several recent works exploit tree-based algorithm to preserve image content better, all of them resort to hand-crafted adjustment rules to optimize the collage tree structure, leading to the failure of fully exploring the structure space of collage tree.
1 code implementation • NeurIPS 2021 • Chen Ma, Xiangyu Guo, Li Chen, Jun-Hai Yong, Yisen Wang
In this paper, we propose a novel geometric-based approach called Tangent Attack (TA), which identifies an optimal tangent point of a virtual hemisphere located on the decision boundary to reduce the distortion of the attack.
no code implementations • 19 Oct 2021 • Mingrui Zhang, Mading Li, Li Chen, Jiahao Yu
To overcome the lack of training data, we pretrain our deep aesthetic network on a large scale image aesthetic dataset (CPC) for general aesthetic feature extraction and propose an attention fusion module for structural collage feature representation.
no code implementations • 7 Oct 2021 • Dongyang Dai, Yuanzhe Chen, Li Chen, Ming Tu, Lu Liu, Rui Xia, Qiao Tian, Yuping Wang, Yuxuan Wang
(2) How to clone a person's voice while controlling the style and prosody.
no code implementations • 6 Oct 2021 • Li Chen, Shaowei Zhu, Zhaoxia Yin
Adding perturbations to images can mislead classification models to produce incorrect results.
1 code implementation • 3 Oct 2021 • Li Chen, Yulin Ding, Saeid Pirasteh, Han Hu, Qing Zhu, Haowei Zeng, Haojia Yu, Qisen Shang, Yongfei Song
Then, the critical problem is that in each block with limited samples, conducting training and testing a model is impossible for a satisfactory LSM prediction, especially in dangerous mountainous areas where landslide surveying is expensive.
no code implementations • 29 Sep 2021 • Yang Liu, Jiaxiang Liu, Yuxiang Lu, Shikun Feng, Yu Sun, Zhida Feng, Li Chen, Hao Tian, Hua Wu, Haifeng Wang
The first factor is information bottleneck sensitivity, which is caused by the key feature of Sparse Transformer — only a small number of global tokens can attend to all other tokens.
no code implementations • 1 Sep 2021 • Lingmei Bu, Li Chen, Yongmei Lu, Zhonghua Yu
Extracting aspect-polarity pairs from texts is an important task of fine-grained sentiment analysis.
no code implementations • SEMEVAL 2021 • Zhida Feng, Jiji Tang, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Li Chen
This paper describes our system participated in Task 6 of SemEval-2021: the task focuses on multimodal propaganda technique classification and it aims to classify given image and text into 22 classes.
no code implementations • 26 Jul 2021 • Wei Liu, Li Chen, Wenyi Zhang
The performance of decentralized SGD is jointly influenced by inter-node communications and local updates.
no code implementations • 19 Jul 2021 • Li Chen, Wenjin Liu, Niranjan Balu, Mahmud Mossa-Basha, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan
Vessel tracing by modeling vascular structures in 3D medical images with centerlines and radii can provide useful information for vascular health.
1 code implementation • 29 Jun 2021 • Ziquan Wei, Shenghua Cheng, Junbo Hu, Li Chen, Shaoqun Zeng, Xiuli Liu
Digital gigapixel whole slide image (WSI) is widely used in clinical diagnosis, and automated WSI analysis is key for computer-aided diagnosis.
1 code implementation • 12 Jun 2021 • Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu
Then, a task transformer module is designed to embed and synthesize the relevance between the two tasks.
Ranked #9 on
Super-Resolution
on IXI
no code implementations • 30 May 2021 • Li Chen, Richard Peng, Di Wang
Diffusion is a fundamental graph procedure and has been a basic building block in a wide range of theoretical and empirical applications such as graph partitioning and semi-supervised learning on graphs.
no code implementations • 27 May 2021 • Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou
Through the derivation and analysis of the closed-form solutions for two basic regression and matrix factorization approaches, we found these two approaches are indeed inherently related but also diverge in how they "scale-down" the singular values of the original user-item interaction matrix.
1 code implementation • ACL 2021 • Lei LI, Yongfeng Zhang, Li Chen
Transformer, which is demonstrated with strong language modeling capability, however, is not personalized and fails to make use of the user and item IDs since the ID tokens are not even in the same semantic space as the words.
no code implementations • 8 May 2021 • Yumeng Zhang, Li Chen, Yufeng Liu, Xiaoyan Guo, Wen Zheng, Junhai Yong
Deep learning methods have achieved excellent performance in pose estimation, but the lack of robustness causes the keypoints to change drastically between similar images.
no code implementations • 6 May 2021 • Inácio Bó, Li Chen
We provide an original analysis of historical documents to describe the assignment procedures used to allocate entry-level civil service jobs in China from the tenth to the early twentieth century.
no code implementations • ICCV 2021 • Zijian Yu, Xuhui Li, Huijuan Huang, Wen Zheng, Li Chen
Image matting refers to the estimation of the opacity of foreground objects.
no code implementations • 24 Apr 2021 • Li Chen, Guang Zhang
We present a new approximation scheme for the price and exercise policy of American options.
no code implementations • 22 Mar 2021 • Purvi Goel, Li Chen
The memorization effect of deep learning hinders its performance to effectively generalize on test set when learning with noisy labels.
1 code implementation • 20 Feb 2021 • Lei LI, Yongfeng Zhang, Li Chen
To achieve a standard way of evaluating recommendation explanations, we provide three benchmark datasets for EXplanaTion RAnking (denoted as EXTRA), on which explainability can be measured by ranking-oriented metrics.
2 code implementations • 1 Feb 2021 • Lei LI, Yongfeng Zhang, Li Chen
Explaining to users why some items are recommended is critical, as it can help users to make better decisions, increase their satisfaction, and gain their trust in recommender systems (RS).
no code implementations • 25 Jan 2021 • Rui Sun, Weidong Wang, Li Chen, Guo Wei, Wenyi Zhang
Millimeter-wave (mmWave) communication systems rely on large-scale antenna arrays to combat large path-loss at mmWave band.
1 code implementation • 11 Jan 2021 • Rui Sun, Weidong Wang, Li Chen, Guo Wei, Wenyi Zhang
In the second case where only partial CSI is available, we jointly exploit the sparsity of the millimeter-wave channel and the failure, and adopt compressed sparse and low-rank matrix recovery algorithm to decouple channel and failure.
no code implementations • 16 Nov 2020 • Li Chen, David Yang, Purvi Goel, Ilknur Kabul
This paper proposes CANC, a Co-teaching Active Noise Cancellation method, applied in spatial computing to address deep learning trained with extreme noisy labels.
1 code implementation • 15 Oct 2020 • Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng, Pan Su, Jianlong Yang, Li Chen, Alejandro F Frang, Masahiro Akiba, Jiang Liu
Automated detection of curvilinear structures, e. g., blood vessels or nerve fibres, from medical and biomedical images is a crucial early step in automatic image interpretation associated to the management of many diseases.
2 code implementations • 5 Oct 2020 • Jiawei Liu, Qiang Wang, Huijie Fan, Shuai Wang, Wentao Li, Yandong Tang, Danbo Wang, Mingyi Zhou, Li Chen
The experiments on the dataset for training show that our automatic label correction algorithm can improve the accuracy of manual labels and further improve the positioning accuracy of overlapping cells with deep learning models.
no code implementations • 28 Sep 2020 • Haifeng Li, Zhenqi Cui, Zhiqing Zhu, Li Chen, Jiawei Zhu, Haozhe Huang, Chao Tao
On the one hand, RS-MetaNet raises the level of learning from the sample to the task by organizing training in a meta way, and it learns to learn a metric space that can well classify remote sensing scenes from a series of tasks.
no code implementations • 23 Sep 2020 • Cong Geng, Jia Wang, Li Chen, Zhiyong Gao
Variational Autoencoder (VAE) and its variations are classic generative models by learning a low-dimensional latent representation to satisfy some prior distribution (e. g., Gaussian distribution).
no code implementations • 15 Sep 2020 • Chen Ma, Shuyu Cheng, Li Chen, Jun Zhu, Junhai Yong
In each iteration, SWITCH first tries to update the current sample along the direction of $\hat{\mathbf{g}}$, but considers switching to its opposite direction $-\hat{\mathbf{g}}$ if our algorithm detects that it does not increase the value of the attack objective function.
1 code implementation • CVPR 2021 • Chen Ma, Li Chen, Jun-Hai Yong
The meta-gradients of this loss are then computed and accumulated from multiple tasks to update the Simulator and subsequently improve generalization.
no code implementations • ACL 2020 • Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yu-Ping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei LI
This paper proposes the building of Xiaomingbot, an intelligent, multilingual and multimodal software robot equipped with four integral capabilities: news generation, news translation, news reading and avatar animation.
1 code implementation • 11 Jul 2020 • Li Chen, Thomas Hatsukami, Jenq-Neng Hwang, Chun Yuan
Automatically labeling intracranial arteries (ICA) with their anatomical names is beneficial for feature extraction and detailed analysis of intracranial vascular structures.
no code implementations • 26 May 2020 • Dongyang Dai, Li Chen, Yu-Ping Wang, Mu Wang, Rui Xia, Xuchen Song, Zhiyong Wu, Yuxuan Wang
Firstly, the speech synthesis model is pre-trained with both multi-speaker clean data and noisy augmented data; then the pre-trained model is adapted on noisy low-resource new speaker data; finally, by setting the clean speech condition, the model can synthesize the new speaker's clean voice.
1 code implementation • 18 Apr 2020 • Li Chen, Zewei Xu, Yongjian Fu, Haozhe Huang, Shaowen Wang, Haifeng Li
The incorporation of the double self-attention module has an average of 7\% improvement on the pre-class accuracy.
no code implementations • 12 Apr 2020 • Zhi Liu, Yan Huang, Jing Gao, Li Chen, Dong Li
Similar product recommendation is one of the most common scenes in e-commerce.
no code implementations • 1 Apr 2020 • Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, Li Chen
Recommender systems are software applications that help users to find items of interest in situations of information overload.
no code implementations • ECCV 2020 • Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu, Zhiyong Gao
Therefore, the encoder is adaptive to different video contents and achieves better compression performance by reducing the domain gap between the training and testing datasets.
2 code implementations • 7 Mar 2020 • Jie Chen, Ziyang Yuan, Jian Peng, Li Chen, Haozhe Huang, Jiawei Zhu, Yu Liu, Haifeng Li
However, the available methods focus mainly on the difference information between multitemporal remote sensing images and lack robustness to pseudo-change information.
1 code implementation • CVPR 2020 • Wang Shen, Wenbo Bao, Guangtao Zhai, Li Chen, Xiongkuo Min, Zhiyong Gao
Existing works reduce motion blur and up-convert frame rate through two separate ways, including frame deblurring and frame interpolation.
no code implementations • 12 Feb 2020 • Cong Geng, Jia Wang, Li Chen, Wenbo Bao, Chu Chu, Zhiyong Gao
Based on this defined Riemannian metric, we introduce a constant speed loss and a minimizing geodesic loss to regularize the interpolation network to generate uniform interpolation along the learned geodesic on the manifold.
no code implementations • 7 Feb 2020 • Li Chen, Shuizheng Zhou, Jiajun Ma
Although they adopt uniform sampling with replacement, due to large sampling variance, the number of non-zeros is uneven among rows of the projection matrix which is generated in one trial, and more data information may be lost after dimension reduction.
no code implementations • 7 Feb 2020 • Li Chen, Shuisheng Zhou, Jiajun Ma
The key idea of the proposed kernel $k$-means clustering using incomplete Cholesky factorization is that we approximate the entire kernel matrix by the product of a low-rank matrix and its transposition.
no code implementations • 29 Jan 2020 • Ruihang Wang, Xin Zhou, Linsen Dong, Yonggang Wen, Rui Tan, Li Chen, Guan Wang, Feng Zeng
However, in the context of CFD, each search step requires long-lasting CFD model's iterated solving, rendering these approaches impractical with increased model complexity.
no code implementations • 27 Jan 2020 • Jie Chen, Haozhe Huang, Jian Peng, Jiawei Zhu, Li Chen, Wenbo Li, Binyu Sun, Haifeng Li
The feature-learning procedure of CNN largely depends on the architecture of CNN.
1 code implementation • 3 Jan 2020 • Xiebo Geng, Sibo Liua, Wei Han, Xu Li, Jiabo Ma, Jingya Yu, Xiuli Liu, Sahoqun Zeng, Li Chen, Shenghua Cheng
However, although existing image fusion techniques, including traditional algorithms and deep learning-based algorithms, can generate high-quality fused images, they need multiple images with different focus depths in the same field of view.
1 code implementation • 19 Dec 2019 • Haifeng Li, Kaijian Qiu, Li Chen, Xiaoming Mei, Liang Hong, Chao Tao
High-resolution remote sensing images (HRRSIs) contain substantial ground object information, such as texture, shape, and spatial location.
no code implementations • 6 Nov 2019 • Zhaoxia Yin, Hua Wang, Li Chen, Jie Wang, Weiming Zhang
In order to prevent illegal or unauthorized access of image data such as human faces and ensure legitimate users can use authorization-protected data, reversible adversarial attack technique is rise.
no code implementations • 1 Nov 2019 • Fan Ang, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, F. Richard Yu
Nevertheless, it is impractical to achieve a perfect acquisition of the local models in wireless communication due to noise, which also brings serious effects on federated learning.
no code implementations • 29 Oct 2019 • Li Chen, Guowei Zhu, Qi Li, Haifeng Li
This added adversarial perturbation image is called an adversarial example, which poses a serious security problem for systems based on CNN model recognition results.
no code implementations • 26 Oct 2019 • Lei Mou, Li Chen, Jun Cheng, Zaiwang Gu, Yitian Zhao, Jiang Liu
Many methods have been proposed for vessel detection.
no code implementations • 8 Oct 2019 • Wei Liu, Li Chen, Yunfei Chen, Wenyi Zhang
The proposed momentum federated learning (MFL) uses momentum gradient descent (MGD) in the local update step of FL system.
no code implementations • 16 Sep 2019 • Yumeng Zhang, Gaoguo Jia, Li Chen, Mingrui Zhang, Junhai Yong
The dynamic image compresses the motion information of video into a still image, removing the interference factors such as the background.
no code implementations • 11 Sep 2019 • Xihao Chen, Jingya Yu, Li Chen, Shaoqun Zeng, Xiuli Liu, Shenghua Cheng
This article proposes a new framework that normalizes the stain style for cytopathological images through a stain removal module and a multi-stage domain adversarial style reconstruction module.
no code implementations • 11 Sep 2019 • Yumeng Zhang, Li Chen, Yufeng Liu, Junhai Yong, Wen Zheng
During training, based on the relation between these common characteristics and 3D pose learned from fully-annotated synthetic datasets, it is beneficial for the network to restore the 3D pose of weakly labeled real-world datasets with the aid of 2D annotations and depth images.
1 code implementation • 6 Aug 2019 • Chen Ma, Chenxu Zhao, Hailin Shi, Li Chen, Junhai Yong, Dan Zeng
To solve such few-shot problem with the evolving attack, we propose a meta-learning based robust detection method to detect new adversarial attacks with limited examples.
no code implementations • 27 Jun 2019 • Li Chen, Ningxia Wang, Yonghua Yang, Keping Yang, Quan Yuan
Though it has been recognized that recommending serendipitous (i. e., surprising and relevant) items can be helpful for increasing users' satisfaction and behavioral intention, how to measure serendipity in the offline environment is still an open issue.
no code implementations • 15 Jun 2019 • Tianjie Mu, Xiaohui Chen, Li Chen, Huarui Yin, Weidong Wang
Deep Learning has been widely applied in the area of image processing and natural language processing.
Information Theory Signal Processing Information Theory
no code implementations • 4 Jun 2019 • Cencheng Shen, Li Chen, Yuexiao Dong, Carey Priebe
The sparse representation classifier (SRC) is shown to work well for image recognition problems that satisfy a subspace assumption.
no code implementations • 16 May 2019 • Li Chen
For graphs generated from stochastic blockmodels, adjacency spectral embedding is asymptotically consistent.
1 code implementation • 15 May 2019 • Ziyuan Zhao, Kerui Zhang, Xuejie Hao, Jing Tian, Matthew Chin Heng Chua, Li Chen, Xin Xu
Diabetic retinopathy (DR) is a common retinal disease that leads to blindness.
no code implementations • 30 Apr 2019 • Li Chen, Carter Yagemann, Evan Downing
For both case studies, we first train deep learning models via transfer learning on malware images, demonstrate high classification effectiveness, apply an explanation method on the images, and correlate the results back to the samples to validate whether the algorithmic insights are consistent with security domain expertise.
no code implementations • NAACL 2019 • Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou
Extreme Multi-label classification (XML) is an important yet challenging machine learning task, that assigns to each instance its most relevant candidate labels from an extremely large label collection, where the numbers of labels, features and instances could be thousands or millions.
no code implementations • 3 Apr 2019 • Li Chen
My research lies in the intersection of security and machine learning.
no code implementations • 1 Feb 2019 • Cory Cornelius, Nilaksh Das, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
To evaluate the robustness of the defense against an adaptive attacker, we consider the targeted-attack success rate of the Projected Gradient Descent (PGD) attack, which is a strong gradient-based adversarial attack proposed in adversarial machine learning research.
no code implementations • 20 Jan 2019 • Li Chen, Hailun Ding, Qi Li, Zhuo Li, Jian Peng, Haifeng Li
Understanding the internal representations of deep neural networks (DNNs) is crucal to explain their behavior.
no code implementations • 25 Dec 2018 • Li Chen, Qi Li, Weiye Chen, Zeyu Wang, Haifeng Li
In this regard, we propose the Adversarial Feature Genome (AFG), a novel type of data that contains both the differences and features about classes.
no code implementations • 21 Dec 2018 • Li Chen, Chih-Yuan Yang, Anindya Paul, Ravi Sahita
In this case study, we propose to use GAN to automatically produce dynamic features that exhibit generalized malicious behaviors that can reduce the efficacy of black-box ransomware classifiers.
1 code implementation • 18 Dec 2018 • Li Chen
In the transfer learning scheme, we borrow knowledge from natural images or objects and apply to the target domain of static malware detection.
2 code implementations • 14 Dec 2018 • Chen Ma, Li Chen, Junhai Yong
(2) We integrate various dynamic models (including convolutional long short-term memory, two stream network, conditional random field, and temporal action localization network) into AU R-CNN and then investigate and analyze the reason behind the performance of dynamic models.
Ranked #1 on
Action Unit Detection
on BP4D
no code implementations • NeurIPS 2018 • Yuanxiang Gao, Li Chen, Baochun Li
It is critical to place operations in a neural network on these devices in an optimal way, so that the training process can complete within the shortest amount of time.
no code implementations • 27 Nov 2018 • Li Chen, Hailun Ding, Qi Li, Zhuo Li, Jian Peng, Haifeng Li
Understanding the internal representations of deep neural networks (DNNs) is crucal to explain their behavior.
no code implementations • ICML 2018 • Yuanxiang Gao, Li Chen, Baochun Li
Training deep neural networks (DNNs) requires an increasing amount of computation resources, and it becomes typical to use a mixture of GPU and CPU devices.
no code implementations • 30 May 2018 • Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Li Chen, Michael E. Kounavis, Duen Horng Chau
Adversarial machine learning research has recently demonstrated the feasibility to confuse automatic speech recognition (ASR) models by introducing acoustically imperceptible perturbations to audio samples.
3 code implementations • 19 Feb 2018 • Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Siwei Li, Li Chen, Michael E. Kounavis, Duen Horng Chau
The rapidly growing body of research in adversarial machine learning has demonstrated that deep neural networks (DNNs) are highly vulnerable to adversarially generated images.
no code implementations • 14 Feb 2018 • Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford, Keith Levin, Donniell Fishkind, Carey Priebe, Vince Lyzinski
There are vertex nomination schemes in the literature, including the optimally precise canonical nomination scheme~$\mathcal{L}^C$ and the consistent spectral partitioning nomination scheme~$\mathcal{L}^P$.
no code implementations • 8 Jan 2018 • Li Chen, Salmin Sultana, Ravi Sahita
The low-level model is a per-application behavior model, trained via transfer learning on a time-series of images generated from control flow trace of an execution.
no code implementations • 19 Dec 2017 • Li Chen, Yanjun Xie, Jie Sun, Niranjan Balu, Mahmud Mossa-Basha, Kristi Pimentel, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan
Automated segmentation of intracranial arteries on magnetic resonance angiography (MRA) allows for quantification of cerebrovascular features, which provides tools for understanding aging and pathophysiological adaptations of the cerebrovascular system.
no code implementations • 10 Jul 2017 • Li Chen, Shuisheng Zhou, Zhuan Zhang
Graduated Optimization Algorithm (GOA) is a popular heuristic method to obtain global optimums of nonconvex problems through progressively minimizing a series of convex approximations to the nonconvex problems more and more accurate.
no code implementations • 8 May 2017 • Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E. Kounavis, Duen Horng Chau
Deep neural networks (DNNs) have achieved great success in solving a variety of machine learning (ML) problems, especially in the domain of image recognition.
no code implementations • 19 Apr 2017 • Li Chen, Mingwei Zhang, Chih-Yuan Yang, Ravi Sahita
When this similarity is strong, MBSS and SVM with linear kernel maintain 90\% detection rate while $k$NN and LDA suffer great performance degradation.
no code implementations • 7 Feb 2017 • Li Chen, Shuisheng Zhou
Then approximating the kernel matrix by a low-rank matrix and smoothing the loss function by entropy penalty function, we propose a convergent sparse R-LSSVM (SR-LSSVM) algorithm to achieve the sparse solution of primal R-LSSVM, which overcomes two drawbacks of LSSVM simultaneously.
no code implementations • 24 Feb 2016 • Song Wang, Dongchun Ren, Li Chen, Wei Fan, Jun Sun, Satoshi Naoi
Unlike those trials, in this paper, we focused on the basic propagation function of the artificial neural network and proposed the binarized deep neural network.
no code implementations • 4 Feb 2015 • Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe
The results are demonstrated via simulations and real data experiments, where the new algorithm achieves comparable numerical performance and significantly faster.
no code implementations • 24 Oct 2014 • Li Chen, Matthew Patton
Online advertising is an important and huge industry.
no code implementations • 23 Nov 2013 • Li Chen, Cencheng Shen, Joshua Vogelstein, Carey Priebe
For random graphs distributed according to stochastic blockmodels, a special case of latent position graphs, adjacency spectral embedding followed by appropriate vertex classification is asymptotically Bayes optimal; but this approach requires knowledge of and critically depends on the model dimension.
1 code implementation • 4 Oct 2013 • Vince Lyzinski, Daniel L. Sussman, Donniell E. Fishkind, Henry Pao, Li Chen, Joshua T. Vogelstein, Youngser Park, Carey E. Priebe
We present a parallelized bijective graph matching algorithm that leverages seeds and is designed to match very large graphs.
no code implementations • 14 Jun 2013 • Li Chen, Peter L . Choyke, Niya Wang, Robert Clarke, Zaver M. Bhujwalla, Elizabeth M. C. Hillman, Yue Wang
Intratumor heterogeneity is often manifested by vascular compartments with distinct pharmacokinetics that cannot be resolved directly by in vivo dynamic imaging.