no code implementations • CMCL (ACL) 2022 • Joshua Bensemann, Alex Peng, Diana Prado, Yang Chen, Neset Tan, Paul Michael Corballis, Patricia Riddle, Michael Witbrock
Attention describes cognitive processes that are important to many human phenomena including reading.
no code implementations • 28 Nov 2023 • Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen
Existing information retrieval (IR) models often assume a homogeneous format, limiting their applicability to diverse user needs, such as searching for images with text descriptions, searching for a news article with a headline image, or finding a similar photo with a query image.
no code implementations • 13 Nov 2023 • Matthew Aguirre, Wenbo Sun, Jionghua, Jin, Yang Chen
There is an increase in interest to model driving maneuver patterns via the automatic unsupervised clustering of naturalistic sequential kinematic driving data.
no code implementations • 9 Nov 2023 • Yang Chen, Yingwei Pan, Yehao Li, Ting Yao, Tao Mei
In particular, a 2D conditioned diffusion model (ControlNet) is remoulded to guide the learning of 3D scene parameterized as NeRF, encouraging each view of 3D scene aligned with the given text prompt and hand-drawn sketch.
1 code implementation • 9 Nov 2023 • Haibo Yang, Yang Chen, Yingwei Pan, Ting Yao, Zhineng Chen, Tao Mei
In this work, we propose a new 3DStyle-Diffusion model that triggers fine-grained stylization of 3D meshes with additional controllable appearance and geometric guidance from 2D Diffusion models.
1 code implementation • 3 Nov 2023 • Mingze Yuan, Peng Bao, Jiajia Yuan, Yunhao Shen, ZiFan Chen, Yi Xie, Jie Zhao, Yang Chen, Li Zhang, Lin Shen, Bin Dong
This has sparked significant interest in applying LLMs to enhance various aspects of healthcare, ranging from medical education to clinical decision support.
no code implementations • 26 Oct 2023 • Shiyang Liu, Yang Chen
Different from the commonly used method that switches the bias point of the optical modulator in the RD between two quadrature transmission points to mix the signal to be sampled and the PRBS, this method employs a PRBS with lower amplitude to low bias the optical modulator so that the impact of non-ideal PRBS on microwave photonic RDs can be greatly reduced by compressing the amplitude of non-ideal parts of the PRBS.
no code implementations • 24 Oct 2023 • Yang Chen, Stjepan Picek, Zhonglin Ye, Zhaoyang Wang, Haixing Zhao
We use a momentum gradient mechanism to choose the attack node features in the feature selection module.
1 code implementation • 13 Oct 2023 • Qiming Bao, Gael Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu
We carry out experiments on these datasets with both discriminative and generative LLMs and show that these simple tricks greatly hinder the performance of the language models.
no code implementations • 11 Oct 2023 • Zijie Fang, Yihan Liu, Yifeng Wang, Xiangyang Zhang, Yang Chen, Changjing Cai, Yiyang Lin, Ying Han, Zhi Wang, Shan Zeng, Hong Shen, Jun Tan, Yongbing Zhang
Biomarker detection is an indispensable part in the diagnosis and treatment of low-grade glioma (LGG).
no code implementations • 3 Oct 2023 • Yang Chen, Ethan Mendes, Sauvik Das, Wei Xu, Alan Ritter
While data leaks should be prevented, it is also crucial to examine the trade-off between the privacy protection and model utility of proposed approaches.
no code implementations • 3 Oct 2023 • Ali Reza Ibrahimzada, Yang Chen, Ryan Rong, Reyhaneh Jabbarvand
From the classic software engineering point of view, a hard-to-repair bug differs from the correct code in multiple locations, making it hard to localize and repair.
1 code implementation • 30 Jun 2023 • Zhuchen Shao, Yang Chen, Hao Bian, Jian Zhang, Guojun Liu, Yongbing Zhang
Many studies adopt random sampling pre-processing strategy and WSI-level aggregation models, which inevitably lose critical prognostic information in the patient-level bag.
no code implementations • 21 Jun 2023 • Yongxin Cao, Fanghua Liu, Lai Jiang, Cheng Bao, You Miao, Yang Chen
In recent years, deep learning has made significant progress in wood panel defect detection.
no code implementations • 20 Jun 2023 • Mitchell Rogers, Gaël Gendron, David Arturo Soriano Valdez, Mihailo Azhar, Yang Chen, Shahrokh Heidari, Caleb Perelini, Padriac O'Leary, Kobe Knowles, Izak Tait, Simon Eyre, Michael Witbrock, Patrice Delmas
Recording animal behaviour is an important step in evaluating the well-being of animals and further understanding the natural world.
no code implementations • 13 Jun 2023 • Rongjun Ge, Yuting He, Cong Xia, Yang Chen, Daoqiang Zhang, Ge Wang
Multiphase contrast-enhanced computed tomography (CECT) scan is clinically significant to demonstrate the anatomy at different phases.
no code implementations • 1 Jun 2023 • Liangxuan Guo, Yang Chen, Shan Yu
In this work, we reported a special form of catastrophic forgetting raised by the OOD problem in continual learning settings, and we named it out-of-distribution forgetting (OODF).
no code implementations • 25 May 2023 • Xiaowei Li, Taixia Shi, Dong Ma, Yang Chen
For the first time, channelization measurement technology is introduced in the STFT system based on frequency sweeping and FTTM, greatly reducing the frequency-sweep range of the required frequency-sweep signal to the analysis bandwidth divided by the number of channels.
1 code implementation • 23 May 2023 • Yang Chen, Vedaant Shah, Alan Ritter
Pre-trained multilingual language models have enabled significant advancements in cross-lingual transfer.
Cross-Lingual Transfer
Low Resource Named Entity Recognition
+4
1 code implementation • 21 May 2023 • Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gael Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu
Combining large language models with logical reasoning enhance their capacity to address problems in a robust and reliable manner.
1 code implementation • 5 May 2023 • Kobe Knowles, Joshua Bensemann, Diana Benavides-Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen
We introduce a novel architecture, the Neuromodulation Gated Transformer (NGT), which is a simple implementation of neuromodulation in transformers via a multiplicative effect.
no code implementations • 13 Apr 2023 • Yang Chen, Liangxuan Guo, Shan Yu
The capacity to generate meaningful symbols and effectively employ them for advanced cognitive processes, such as communication, reasoning, and planning, constitutes a fundamental and distinctive aspect of human intelligence.
1 code implementation • CVPR 2023 • Zhaodi Zhang, Zhiyi Xue, Yang Chen, Si Liu, Yueling Zhang, Jing Liu, Min Zhang
Via abstraction, all perturbed images are mapped into intervals before feeding into neural networks for training.
no code implementations • 19 Mar 2023 • Yang Chen, Zhenyu Yang, Jingtong Zhao, Justus Adamson, Yang Sheng, Fang-Fang Yin, Chunhao Wang
Four deep neural networks as sub-models following the U-Net architecture were trained for the segmenting of a region-of-interest (ROI): each sub-model utilizes the mp-MRI and 1 of the 4 PCs as a 5-channel input for a 2D execution.
no code implementations • 13 Mar 2023 • Zhiwei Xu, Min Zhou, Xibin Zhao, Yang Chen, Xi Cheng, Hongyu Zhang
The proposed xASTNN has three advantages.
1 code implementation • CVPR 2023 • Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-Louis Coatrieux, Boyu Wang, Shuo Li
We propose a novel visual similarity learning paradigm, Geometric Visual Similarity Learning, which embeds the prior of topological invariance into the measurement of the inter-image similarity for consistent representation of semantic regions.
2 code implementations • 23 Feb 2023 • Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang
In this study, we introduce InfoSeek, a visual question answering dataset tailored for information-seeking questions that cannot be answered with only common sense knowledge.
Ranked #2 on
Visual Question Answering (VQA)
on InfoSeek
2 code implementations • ICCV 2023 • Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang
Large-scale multi-modal pre-training models such as CLIP and PaLI exhibit strong generalization on various visual domains and tasks.
Ranked #2 on
Fine-Grained Image Recognition
on OVEN
no code implementations • 16 Feb 2023 • Libo Zhang, Yang Chen, Toru Takisaka, Bakh Khoussainov, Michael Witbrock, Jiamou Liu
In real-world multi-agent systems, in addition to being in an equilibrium, agents' policies are often expected to meet requirements with respect to safety, and fairness.
no code implementations • 11 Feb 2023 • Jialing He, Jiamou Liu, Zijian Zhang, Yang Chen, Yiwei Liu, Bakh Khoussainov, Liehuang Zhu
Non-intrusive load monitoring (NILM) aims to decompose aggregated electrical usage signal into appliance-specific power consumption and it amounts to a classical example of blind source separation tasks.
no code implementations • ICCV 2023 • Mengxue Kang, Jinpeng Zhang, Jinming Zhang, Xiashuang Wang, Yang Chen, Zhe Ma, Xuhui Huang
However, previous works on feature distillation heavily rely on low-level feature information, while under-exploring the importance of high-level semantic information.
no code implementations • ICCV 2023 • Zhuchen Shao, Yifeng Wang, Yang Chen, Hao Bian, Shaohui Liu, Haoqian Wang, Yongbing Zhang
Gigapixel Whole Slide Images (WSIs) aided patient diagnosis and prognosis analysis are promising directions in computational pathology.
1 code implementation • 19 Dec 2022 • Ethan Mendes, Yang Chen, Wei Xu, Alan Ritter
We present a human-in-the-loop evaluation framework for fact-checking novel misinformation claims and identifying social media messages that support them.
no code implementations • 4 Dec 2022 • Mehmet Aktukmak, Zeyu Sun, Monica Bobra, Tamas Gombosi, Ward B. Manchester, Yang Chen, Alfred Hero
In this paper, we consider incorporating data associated with the sun's north and south polar field strengths to improve solar flare prediction performance using machine learning models.
1 code implementation • 28 Nov 2022 • Yang Chen, Chao Jiang, Alan Ritter, Wei Xu
Translating training data into many languages has emerged as a practical solution for improving cross-lingual transfer.
Ranked #1 on
Cross-Lingual NER
on MasakhaNER2.0
no code implementations • 26 Oct 2022 • Andrew Audibert, Yang Chen, Dan Graur, Ana Klimovic, Jiri Simsa, Chandramohan A. Thekkath
Finally, we show that tf. data service advanced features can benefit performance of non-input bound jobs; in particular, coordinated data reads through tf. data service can yield up to 2x speedups and job cost savings for NLP jobs.
no code implementations • 20 Oct 2022 • Zhen-Hua Zhu, Huaiyu Wu, Zhi-Hong Guan, Zhi-Wei Liu, Yang Chen, Xiujuan Zheng
This article targets at addressing the robust prescribed-time coordination control (PTCC) problems for single-integrator cooperative-antagonistic networks (CANs) with external disturbances under arbitrary fixed signed digraphs without any structural constraints.
no code implementations • COLING 2022 • Zhenyun Deng, Yonghua Zhu, Yang Chen, Qianqian Qi, Michael Witbrock, Patricia Riddle
In this paper, we propose the Prompt-based Conservation Learning (PCL) framework for multi-hop QA, which acquires new knowledge from multi-hop QA tasks while conserving old knowledge learned on single-hop QA tasks, mitigating forgetting.
no code implementations • 12 Aug 2022 • Yang Chen, Martin Alain, Aljosa Smolic
In this work, we study different sub-sampling and reconstruction strategies for light field compression.
no code implementations • 9 Aug 2022 • Pengcheng Zuo, Dong Ma, Xiaowei Li, Yang Chen
In this paper, the filter- and frequency-to-time mapping (FTTM)-based photonics-assisted time and frequency acquisition methods are comprehensively analyzed and the accuracy and resolution limitation in the fast sweep scenario is broken by broadening the filter bandwidth.
no code implementations • 3 Aug 2022 • Taixia Shi, Yang Chen
A photonics-assisted analog wideband RF self-interference (SI) cancellation and frequency downconversion approach for in-band full-duplex (IBFD) multiple-input multiple-output (MIMO) systems with adaptive digital amplitude and delay pre-matching is proposed based on a dual-parallel Mach-Zehnder modulator (DP-MZM).
no code implementations • 3 Aug 2022 • Moxuan Han, Yang Chen
The SIC and frequency downconversion are achieved in the optical domain via a dual-parallel Mach-Zehnder modulator (DP-MZM), while the downconverted signal is processed by the LS algorithm with adaptive order that is used to track the response of the multipath self-interference (SI) channel and reconstruct the reference signal for SIC.
no code implementations • 1 Aug 2022 • Yi Dong, Yang Chen, Xingyu Zhao, Xiaowei Huang
With the employment of smart meters, massive data on consumer behaviour can be collected by retailers.
no code implementations • 21 Jul 2022 • Yang Chen, Shanshan Zhao, Wei Ji, Mingming Gong, Liping Xie
However, facing a new environment where the test data occurs online and differs from the training data in the RGB image content and depth sparsity, the trained model might suffer severe performance drop.
1 code implementation • 26 Jun 2022 • Hao Bian, Zhuchen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang, Yongbing Zhang
We achieve the state-of-the-art performance on the SICAPv2 dataset, and the visual analysis shows the accurate prediction results of instance level.
1 code implementation • 23 Jun 2022 • Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li
Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible conditional image generation from prior noise to real data, by introducing an independent noise-aware classifier to provide conditional gradient guidance at each time step of denoising process.
Ranked #1 on
Conditional Image Generation
on ImageNet 256x256
no code implementations • 16 Jun 2022 • Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle
We then achieve the decomposition of a multi-hop question via segmentation of the corresponding AMR graph based on the required reasoning type.
no code implementations • 12 May 2022 • Yang Chen, Cheng Cheng, Qiyu Sun
The proposed GFT is consistent with the conventional GFT in the undirected graph setting, and on directed circulant graphs, the proposed GFT is the classical discrete Fourier transform, up to some rotation, permutation and phase adjustment.
2 code implementations • 10 May 2022 • Zhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li
The nature of thick-slice scanning causes severe inter-slice discontinuities of 3D medical images, and the vanilla 2D/3D convolutional neural networks (CNNs) fail to represent sparse inter-slice information and dense intra-slice information in a balanced way, leading to severe underfitting to inter-slice features (for vanilla 2D CNNs) and overfitting to noise from long-range slices (for vanilla 3D CNNs).
no code implementations • 13 Apr 2022 • Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu
According to the technical reports of the top-tier teams, CAM is still the most popular approach in WSSS.
Data Augmentation
Weakly supervised Semantic Segmentation
+1
1 code implementation • 7 Apr 2022 • Zeyu Sun, Monica G. Bobra, Xiantong Wang, Yu Wang, Hu Sun, Tamas Gombosi, Yang Chen, Alfred Hero
We consider the flare prediction problem that distinguishes flare-imminent active regions that produce an M- or X-class flare in the future 24 hours, from quiet active regions that do not produce any flare within $\pm 24$ hours.
no code implementations • 13 Feb 2022 • Yang Chen, Libo Zhang, Jiamou Liu, Shuyue Hu
This limitation invalidates existing IRL methods on MFGs with non-cooperative environments.
no code implementations • 12 Feb 2022 • Xiangyong Cao, Yang Chen, Wenfei Cao
To alleviate this issue, we propose a novel deep network for pansharpening by combining the model-based methodology with the deep learning method.
no code implementations • 28 Jan 2022 • Shi Wang, Dingding Liang, Yang Chen
A photonics-assisted joint communication-radar system is proposed and experimentally demonstrated, by introducing a quadrature phase-shift keying (QPSK)-sliced linearly frequency-modulated (LFM) signal.
no code implementations • 27 Jan 2022 • Dong Ma, Yang Chen
A time-varying microwave photonic filter (TV-MPF) based on stimulated Brillouin scattering (SBS) is proposed and utilized to suppress the in-band noise of broadband arbitrary microwave waveforms, thereby improving the signal-to-noise ratio (SNR).
no code implementations • 28 Dec 2021 • Qiqi Gu, Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Ran Yi
The progressive enhancement process facilitates the learning of discriminative features with fine-grained face forgery clues.
no code implementations • 14 Dec 2021 • Yang Chen, Yingwei Pan, Yu Wang, Ting Yao, Xinmei Tian, Tao Mei
From this point, we present a particular paradigm of self-supervised learning tailored for domain adaptation, i. e., Transferrable Contrastive Learning (TCL), which links the SSL and the desired cross-domain transferability congruently.
no code implementations • ICCV 2021 • Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei
Correspondingly, we also propose a novel "jury" mechanism, which is particularly effective in learning useful semantic feature commonalities among domains.
Ranked #34 on
Domain Generalization
on PACS
no code implementations • 26 Nov 2021 • Pengcheng Zuo, Dong Ma, Yang Chen
In the proposed all-optical STFT system, SBS not only provides a band-pass filter for implementing the window function in conjunction with a periodic frequency-sweep optical signal but also obtains the frequency domain information in different time windows through the generated waveform via frequency-to-time mapping (FTTM).
no code implementations • 12 Nov 2021 • Taixia Shi, Dingding Liang, Moxuan Han, Yang Chen
The leakage cancellation scheme is used in a radar system.
no code implementations • 12 Nov 2021 • Moxuan Han, Taixia Shi, Yang Chen
The proposed method can solve the performance limitation in the previously reported SIC methods of constructing the multipath SI signal using a single reference caused by the limited dynamic range of the digital-to-analog converter when the direct-path SI signal is much stronger than the sub-weak reflection-path SI signals.
no code implementations • 7 Sep 2021 • Taixia Shi, Moxuan Han, Yang Chen
One dual-drive Mach-Zehnder modulator is used to implement the analog self-interference cancellation by pre-adjusting the delay and amplitude of the reference signal applied to the dual-drive Mach-Zehnder modulator in the digital domain.
no code implementations • 7 Sep 2021 • Dong Ma, Pengcheng Zuo, Yang Chen
The parallel SBS link can be utilized to perform real-time time-frequency analysis of microwave signal, which provides a promising solution for real-time time-frequency analysis, especially when it is combined with the photonic integration technique.
no code implementations • 4 Sep 2021 • Zhihao Gu, Yang Chen, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Lizhuang Ma
To address this issue, we term this task as a Spatial-Temporal Inconsistency Learning (STIL) process and instantiate it into a novel STIL block, which consists of a Spatial Inconsistency Module (SIM), a Temporal Inconsistency Module (TIM), and an Information Supplement Module (ISM).
no code implementations • 1 Sep 2021 • Taixia Shi, Yu Chen, Yang Chen
A photonic approach for radio-frequency (RF) self-interference cancellation (SIC) incorporated in an in-band full-duplex radio-over-fiber system is proposed.
no code implementations • 12 Jun 2021 • Junfu Chen, Dechang Pi, Xiaoyi Jiang, Yang Chen
First, the Subject-Shared module in CS-DASA receives multi-frame EEG image data from both source and target subjects and learns the common feature representations.
no code implementations • 8 Jun 2021 • Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang, Yang Chen, Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li
3)We propose the adversarial weighted ensemble module which uses the trained discriminators to evaluate the quality of segmented structures, and normalizes these evaluation scores for the ensemble weights directed at the input image, thus enhancing the ensemble results.
2 code implementations • NeurIPS 2021 • Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang
Multiple instance learning (MIL) is a powerful tool to solve the weakly supervised classification in whole slide image (WSI) based pathology diagnosis.
1 code implementation • 30 May 2021 • Azim Ahmadzadeh, Dustin J. Kempton, Yang Chen, Rafal A. Angryk
General-purpose object-detection algorithms often dismiss the fine structure of detected objects.
no code implementations • 27 May 2021 • Dingding Liang, Lizhong Jiang, Yang Chen
A photonic-assisted multi-functional radar system for simultaneous distance and velocity measurement and high-resolution microwave imaging is proposed and experimentally demonstrated by using a composite transmitted microwave signal of a single-chirped linearly frequency-modulated (LFM) signal and a single-tone microwave signal.
no code implementations • 16 May 2021 • Yang Chen, Dustin J. Kempton, Azim Ahmadzadeh, Rafal A. Angryk
We utilize a flare forecasting benchmark dataset, named SWAN-SF, and design two verification methods to both quantitatively and qualitatively evaluate the similarity between the generated minority and the ground-truth samples.
no code implementations • 6 May 2021 • Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Jilin Li, Rongrong Ji
Specifically, we propose a Multi-scale Patch Similarity Module (MPSM), which measures the similarity between features of local regions and forms a robust and generalized similarity pattern.
no code implementations • 29 Apr 2021 • Yang Chen, Libo Zhang, Jiamou Liu, Michael Witbrock
However, existing IRL methods for MFGs are powerless to reason about uncertainties in demonstrated behaviours of individual agents.
no code implementations • 23 Apr 2021 • Taixia Shi, Yang Chen
The unknown RF signal is also SSB modulated on a carrier that has been modulated by a sweep signal, thus the unknown RF signal is converted to a sweep optical signal along with the sweep optical carrier.
5 code implementations • 18 Apr 2021 • Huaishao Luo, Lei Ji, Ming Zhong, Yang Chen, Wen Lei, Nan Duan, Tianrui Li
In this paper, we propose a CLIP4Clip model to transfer the knowledge of the CLIP model to video-language retrieval in an end-to-end manner.
Ranked #1 on
Text to Video Retrieval
on MSR-VTT
no code implementations • 6 Apr 2021 • Yang Chen, Pinhao Song, Hong Liu, Linhui Dai, Xiaochuan Zhang, Runwei Ding, Shengquan Li
Second, for the images with the same semantic content in different domains, their hidden features should be equivalent.
no code implementations • 11 Mar 2021 • Yang Chen, Xin-Tao He, Yu-Jie Cheng, Hao-Yang Qiu, Lan-Tian Feng, Ming Zhang, Dao-Xin Dai, Guang-Can Guo, Jian-Wen Dong, Xi-Feng Ren
Topological photonics has been introduced as a powerful platform for integrated optics, since it can deal with robust light transport, and be further extended to the quantum world.
Quantum Physics Optics
no code implementations • 5 Mar 2021 • Lei Sun, Jacco Vink, Yang Chen, Ping Zhou, Dmitry Prokhorov, Gerd Puhlhofer, Denys Malyshev
In the last few years, the emission measure of the low-temperature plasma has been decreasing, indicating that the blast wave has left the main ER.
High Energy Astrophysical Phenomena
no code implementations • 2 Mar 2021 • Yiwei Bao, Yang Chen
The Tibet AS$\gamma$ experiment has measured $\gamma$-ray flux of supernova remnant G106. 3+2. 7 up to 100 TeV, suggesting it {being} potentially a "PeVatron".
High Energy Astrophysical Phenomena
no code implementations • 21 Dec 2020 • Chong Ge, Ruo-Yu Liu, Shu Niu, Yang Chen, Xiang-Yu Wang
Supernova remnants (SNRs) have long been considered as one of the most promising sources of Galactic cosmic rays.
High Energy Astrophysical Phenomena
1 code implementation • 13 Dec 2020 • Yi Zhang, Hu Chen, Wenjun Xia, Yang Chen, Baodong Liu, Yan Liu, Huaiqiang Sun, Jiliu Zhou
Compressed sensing (CS) computed tomography has been proven to be important for several clinical applications, such as sparse-view computed tomography (CT), digital tomosynthesis and interior tomography.
1 code implementation • EMNLP 2021 • Yang Chen, Alan Ritter
Transformers that are pre-trained on multilingual corpora, such as, mBERT and XLM-RoBERTa, have achieved impressive cross-lingual transfer capabilities.
no code implementations • 28 Sep 2020 • Yang Chen, Alan Ritter
In the zero-shot cross-lingual transfer setting, only English training data is assumed, and the fine-tuned model is evaluated on another target language.
5 code implementations • 27 Sep 2020 • Zhuonan He, Yikun Zhang, Yu Guan, Shanzhou Niu, Yi Zhang, Yang Chen, Qiegen Liu
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in clinical applications.
no code implementations • 24 Sep 2020 • Donghaisheng Liu, Shoudong Han, Yang Chen, Chenfei Xia, Jun Zhao
Person re-identification (Re-ID) is a challenging task as persons are often in different backgrounds.
no code implementations • 20 Sep 2020 • Junfu Chen, Yue Pan, Yang Chen
Remote sensing image fusion technology (pan-sharpening) is an important means to improve the information capacity of remote sensing images.
1 code implementation • 28 Aug 2020 • Yang Chen, Nami Ashizawa, Seanglidet Yean, Chai Kiat Yeo, Naoto Yanai
In this paper, we propose a self-organizing map assisted deep autoencoding Gaussian mixture model (SOMDAGMM) supplemented with well-preserved input space topology for more accurate network intrusion detection.
5 code implementations • 14 Aug 2020 • Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shan-Shan Wang, Dong Liang, Qiegen Liu
Deep learning, particularly the generative model, has demonstrated tremendous potential to significantly speed up image reconstruction with reduced measurements recently.
no code implementations • 12 Aug 2020 • Yang Chen, Martin Alain, Aljosa Smolic
In order to enhance the angular resolution of light fields, view synthesis methods can be utilized to generate dense intermediate views from sparse light field input.
no code implementations • 11 Aug 2020 • Yang Chen, Martin Alain, Aljosa Smolic
Depth map estimation is a crucial task in computer vision, and new approaches have recently emerged taking advantage of light fields, as this new imaging modality captures much more information about the angular direction of light rays compared to common approaches based on stereoscopic images or multi-view.
no code implementations • 11 Aug 2020 • Yang Chen, Martin Alain, Aljosa Smolic
Limited angular resolution is one of the main obstacles for practical applications of light fields.
no code implementations • ECCV 2020 • Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li
Deep learning-based medical image registration and segmentation joint models utilize the complementarity (augmentation data or weakly supervised data from registration, region constraints from segmentation) to bring mutual improvement in complex scene and few-shot situation.
no code implementations • 30 Jul 2020 • Jiazhi Xia, Tianxiang Chen, Lei Zhang, Wei Chen, Yang Chen, Xiaolong Zhang, Cong Xie, Tobias Schreck
We build a prototype system based on our method, SMAP, to support the organization, computation, and exploration of secure joint embedding.
1 code implementation • 13 Jul 2020 • Daniel Iong, Qingyuan Zhao, Yang Chen
Existing MR methods usually assume most genetic variants are valid instrumental variables that identify a common causal effect.
Applications Methodology
no code implementations • 8 Jul 2020 • Gonglei Shi, Li Xiao, Yang Chen, S. Kevin Zhou
Annotating multiple organs in medical images is both costly and time-consuming; therefore, existing multi-organ datasets with labels are often low in sample size and mostly partially labeled, that is, a dataset has a few organs labeled but not all organs.
1 code implementation • 29 Jun 2020 • Arya Farahi, Daisuke Nagai, Yang Chen
We present a novel population-based Bayesian inference approach to model the average and population variance of spatial distribution of a set of observables from ensemble analysis of low signal-to-noise ratio measurements.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
no code implementations • 26 Jun 2020 • Ping Zhou, Shing-Chi Leung, Zhiyuan Li, Ken'ichi Nomoto, Jacco Vink, Yang Chen
We report evidence that SNR Sgr A East in the Galactic center resulted from a pure turbulent deflagration of a Chandrasekhar-mass carbon-oxygen WD, an explosion mechanism used for type Iax SNe.
High Energy Astrophysical Phenomena
no code implementations • 18 Jun 2020 • Jinxuan Sun, Yang Chen, Junyu Dong, Guoqiang Zhong
Generative adversarial networks (GANs) are widely used in image generation tasks, yet the generated images are usually lack of texture details.
no code implementations • 18 May 2020 • Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao
Recent end-to-end deep neural networks for disparity regression have achieved the state-of-the-art performance.
4 code implementations • 8 May 2020 • Haocheng Feng, Zhibin Hong, Haixiao Yue, Yang Chen, Keyao Wang, Junyu Han, Jingtuo Liu, Errui Ding
In this paper, we reformulate FAS in an anomaly detection perspective and propose a residual-learning framework to learn the discriminative live-spoof differences which are defined as the spoof cues.
1 code implementation • EMNLP 2020 • Wuwei Lan, Yang Chen, Wei Xu, Alan Ritter
Multilingual pre-trained Transformers, such as mBERT (Devlin et al., 2019) and XLM-RoBERTa (Conneau et al., 2020a), have been shown to enable the effective cross-lingual zero-shot transfer.
no code implementations • 13 Mar 2020 • Yang Chen, Emerson Li
The supervised learning algorithm used in this research, moreover, is original to this study and will have wider uses.
no code implementations • 4 Feb 2020 • Biao Yang, Caizhen He, Pin Wang, Ching-Yao Chan, Xiaofeng Liu, Yang Chen
A latent variable predictor is proposed to estimate latent variable distributions from observed and ground-truth trajectories.
no code implementations • 2 Feb 2020 • Biao Yang, Guocheng Yan, Pin Wang, Ching-Yao Chan, Xiang Song, Yang Chen
Recent studies focus on modeling pedestrians' motion patterns with recurrent neural networks, capturing social interactions with pooling-based or graph-based methods, and handling future uncertainties by using random Gaussian noise as the latent variable.
no code implementations • 24 Jan 2020 • Yang Chen, Weiran Wang, I-Fan Chen, Chao Wang
Practitioners often need to build ASR systems for new use cases in a short amount of time, given limited in-domain data.
no code implementations • 24 Jan 2020 • Yang Chen, Weiran Wang, Chao Wang
While deep learning based end-to-end automatic speech recognition (ASR) systems have greatly simplified modeling pipelines, they suffer from the data sparsity issue.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
2 code implementations • International Conference on Web Search and Data Mining 2020 • Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang
For this problem, existing approaches, with shallow or deep architectures, have three major drawbacks.
no code implementations • 18 Jan 2020 • Yang Chen
Flood fill is used to define a boundary area function so that the optimal shape does not bypass the minimum area.
1 code implementation • 27 Dec 2019 • Hu Sun, Ward Manchester, Zhenbang Jiao, Xiantong Wang, Yang Chen
The dynamics of these parameters have a highly uniform trajectory for many events whose LSTM prediction scores for M/X class flares transition from very low to very high.
1 code implementation • 12 Dec 2019 • Zhenbang Jiao, Hu Sun, Xiantong Wang, Ward Manchester, Tamas Gombosi, Alfred Hero, Yang Chen
We develop a mixed Long Short Term Memory (LSTM) regression model to predict the maximum solar flare intensity within a 24-hour time window 0$\sim$24, 6$\sim$30, 12$\sim$36 and 24$\sim$48 hours ahead of time using 6, 12, 24 and 48 hours of data (predictors) for each Helioseismic and Magnetic Imager (HMI) Active Region Patch (HARP).
Solar and Stellar Astrophysics
no code implementations • 3 Dec 2019 • Qinge Xie, Tiancheng Guo, Yang Chen, Yu Xiao, Xin Wang, Ben Y. Zhao
Combining above methods, we propose a Deep Incident-Aware Graph Convolutional Network (DIGC-Net) to effectively incorporate urban traffic incident, spatio-temporal, periodic and context features for traffic speed prediction.
1 code implementation • 1 Dec 2019 • Xiantong Wang, Yang Chen, Gabor Toth, Ward B. Manchester, Tamas I. Gombosi, Alfred O. Hero, Zhenbang Jiao, Hu Sun, Meng Jin, Yang Liu
A deep learning network, Long-Short Term Memory (LSTM) network, is used in this work to predict whether the maximum flare class an active region (AR) will produce in the next 24 hours is class $\Gamma$.
Solar and Stellar Astrophysics
2 code implementations • 8 Oct 2019 • Yingwei Pan, Yehao Li, Qi Cai, Yang Chen, Ting Yao
Semi-Supervised Domain Adaptation: For this task, we adopt a standard self-learning framework to construct a classifier based on the labeled source and target data, and generate the pseudo labels for unlabeled target data.
no code implementations • 1 Oct 2019 • Wenlei Bao, Li-Wen Chang, Yang Chen, Ke Deng, Amit Agarwal, Emad Barsoum, Abe Taha
Various approaches have been developed by leveraging techniques such as vectorization and memory layout to improve the performance of integer GEMM.
2 code implementations • IJCNLP 2019 • Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel
Rich entity representations are useful for a wide class of problems involving entities.
no code implementations • 26 Aug 2019 • Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei
Unsupervised image-to-image translation is the task of translating an image from one domain to another in the absence of any paired training examples and tends to be more applicable to practical applications.
no code implementations • 12 Aug 2019 • Dawei Li, Yan Cao, Guoliang Shi, Xin Cai, Yang Chen, Sifan Wang, Siyuan Yan
The proposed method can also facilitate the automatic traits estimation of each single leaf (such as the leaf area, length, and width), which has potential to become a highly effective tool for plant research and agricultural engineering.
no code implementations • NAACL 2019 • Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian
Given a sentence about a target entity, the task is to automatically generate a post-modifier phrase that provides contextually relevant information about the entity.
no code implementations • 18 Mar 2019 • Yang Chen, Xiaoyan Sun, Yaochu Jin
The proposed algorithm is empirically on two datasets with different deep neural networks.
no code implementations • 6 Nov 2018 • Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Zhongwen Guo
We propose a new method referring to conditional GAN, which equipments the latent noise with mixture of Student's t-distribution with attention mechanism in addition to class information.
no code implementations • 25 Oct 2018 • Guoqiang Zhong, Tao Li, Wenxue Liu, Yang Chen
The indicates that: 1) Using DNA computing algorithm to learn deep architectures is feasible; 2) Local minima should not be a problem of deep networks; 3) We can use early stop to kill the models with the bad performance just after several runs of training.
1 code implementation • 29 Sep 2018 • Guanxiong Zeng, Yang Chen, Bo Cui, Shan Yu
Deep neural networks (DNNs) are powerful tools in learning sophisticated but fixed mapping rules between inputs and outputs, thereby limiting their application in more complex and dynamic situations in which the mapping rules are not kept the same but changing according to different contexts.
Ranked #5 on
Continual Learning
on ASC (19 tasks)
no code implementations • 11 Sep 2018 • Hao Wang, Bojin Zhuang, Yang Chen, Ni Li, Dongxia Wei
Air pollution poses a serious threat to human health as well as economic development around the world.
1 code implementation • 12 Aug 2018 • Maosong Ran, Jinrong Hu, Yang Chen, Hu Chen, Huaiqiang Sun, Jiliu Zhou, Yi Zhang
Structure-preserved denoising of 3D magnetic resonance imaging (MRI) images is a critical step in medical image analysis.
7 code implementations • CVPR 2018 • Yang Chen, Yu-Kun Lai, Yong-Jin Liu
Two novel losses suitable for cartoonization are proposed: (1) a semantic content loss, which is formulated as a sparse regularization in the high-level feature maps of the VGG network to cope with substantial style variation between photos and cartoons, and (2) an edge-promoting adversarial loss for preserving clear edges.
2 code implementations • 13 Nov 2017 • Raimondas Sasnauskas, Yang Chen, Peter Collingbourne, Jeroen Ketema, Gratian Lup, Jubi Taneja, John Regehr
If we can automatically derive compiler optimizations, we might be able to sidestep some of the substantial engineering challenges involved in creating and maintaining a high-quality compiler.
Programming Languages
no code implementations • CVPR 2017 • Yang Chen, Yong-Jin Liu, Yu-Kun Lai
Observing that it is challenging even for human subjects to give consistent scores for retargeting results of different source images, in this paper we propose a learning-based OQA method that predicts the ranking of a set of retargeted images with the same source image.
no code implementations • 22 Feb 2017 • Jiasong Wu, Shijie Qiu, Youyong Kong, Yang Chen, Lotfi Senhadji, Huazhong Shu
In this paper, we propose a new simple and learning-free deep learning network named MomentsNet, whose convolution layer, nonlinear processing layer and pooling layer are constructed by Moments kernels, binary hashing and block-wise histogram, respectively.
1 code implementation • 1 Feb 2017 • Hu Chen, Yi Zhang, Mannudeep K. Kalra, Feng Lin, Yang Chen, Peixi Liao, Jiliu Zhou, Ge Wang
Given the potential X-ray radiation risk to the patient, low-dose CT has attracted a considerable interest in the medical imaging field.
no code implementations • 1 Feb 2017 • Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu
In real scenarios, however, the noise existed in a natural HSI is always with much more complicated non-i. i. d.
no code implementations • 7 Mar 2016 • Wenbin Li, Yang Chen, JeeHang Lee, Gang Ren, Darren Cosker
It is hard to estimate optical flow given a realworld video sequence with camera shake and other motion blur.
no code implementations • ICCV 2015 • Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen, Zongben Xu
Many computer vision problems can be posed as learning a low-dimensional subspace from high dimensional data.
no code implementations • 5 Mar 2015 • Rui Zeng, Jiasong Wu, Zhuhong Shao, Yang Chen, Lotfi Senhadji, Huazhong Shu
The Principal Component Analysis Network (PCANet), which is one of the recently proposed deep learning architectures, achieves the state-of-the-art classification accuracy in various databases.
10 code implementations • 14 Jul 2014 • Lianjie Luo, Yang Chen, Chengyong Wu, Shun Long, Grigori Fursin
Iterative compilation is a widely adopted technique to optimize programs for different constraints such as performance, code size and power consumption in rapidly evolving hardware and software environments.