Search Results for author: Yang Chen

Found 135 papers, 41 papers with code

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers

no code implementations28 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.

Benchmarking Information Retrieval +1

Automatic Identification of Driving Maneuver Patterns using a Robust Hidden Semi-Markov Models

no code implementations13 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.


Control3D: Towards Controllable Text-to-3D Generation

no code implementations9 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.

Text to 3D

3DStyle-Diffusion: Pursuing Fine-grained Text-driven 3D Stylization with 2D Diffusion Models

1 code implementation9 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.

Image Generation

Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review

1 code implementation3 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.

Reducing the impact of non-ideal PRBS on microwave photonic random demodulators by low biasing the optical modulator via PRBS amplitude compression

no code implementations26 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.

Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks

no code implementations24 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.

feature selection

A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks

1 code implementation13 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.

Data Augmentation Logical Reasoning

Can Language Models be Instructed to Protect Personal Information?

no code implementations3 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.

Adversarial Robustness

Automated Bug Generation in the era of Large Language Models

no code implementations3 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.

Program Repair

HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image

1 code implementation30 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.

Multiple Instance Learning Survival Prediction +1

Meerkat Behaviour Recognition Dataset

no code implementations20 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.

Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift

no code implementations1 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).

Continual Learning Image Classification

Channelized analog microwave short-time Fourier transform in the optical domain with improved measurement performance

no code implementations25 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.

Neuromodulation Gated Transformer

1 code implementation5 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.

Emergence of Symbols in Neural Networks for Semantic Understanding and Communication

no code implementations13 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.

Boosting Verified Training for Robust Image Classifications via Abstraction

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.

A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation

no code implementations19 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.

Dimensionality Reduction Ensemble Learning +4

Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training

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.

Geometric Matching Representation Learning

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

2 code implementations23 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.

Open-Domain Question Answering Visual Question Answering

Learning Density-Based Correlated Equilibria for Markov Games

no code implementations16 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.


MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring based on A Dual-CNN Model

no code implementations11 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.

Non-Intrusive Load Monitoring

Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments

1 code implementation19 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.

Fact Checking Misinformation

Incorporating Polar Field Data for Improved Solar Flare Prediction

no code implementations4 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.

Solar Flare Prediction

Frustratingly Easy Label Projection for Cross-lingual Transfer

1 code implementation28 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.

Cross-Lingual NER NER +3

A case for disaggregation of ML data processing

no code implementations26 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.

Robust prescribed-time coordination control of cooperative-antagonistic networks with disturbances

no code implementations20 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.

Prompt-based Conservation Learning for Multi-hop Question Answering

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.

Multi-hop Question Answering Question Answering

View Sub-sampling and Reconstruction for Efficient Light Field Compression

no code implementations12 Aug 2022 Yang Chen, Martin Alain, Aljosa Smolic

In this work, we study different sub-sampling and reconstruction strategies for light field compression.

Breaking the accuracy and resolution limitation of filter- and frequency-to-time mapping-based time and frequency acquisition methods by broadening the filter bandwidth

no code implementations9 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.

Photonics-assisted analog wideband self-interference cancellation for in-band full-duplex MIMO systems with adaptive digital amplitude and delay pre-matching

no code implementations3 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).

Digitally-assisted photonic analog domain self-interference cancellation for in-band full-duplex MIMO systems via LS algorithm with adaptive order

no code implementations3 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.

Short-term Load Forecasting with Distributed Long Short-Term Memory

no code implementations1 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.

Load Forecasting

MetaComp: Learning to Adapt for Online Depth Completion

no code implementations21 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.

Depth Completion Meta-Learning +1

Multiple Instance Learning with Mixed Supervision in Gleason Grading

1 code implementation26 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.

Multiple Instance Learning whole slide images

Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation

1 code implementation23 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.

Conditional Image Generation Denoising

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering

no code implementations16 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.

AMR-to-Text Generation Multi-hop Question Answering +2

Graph Fourier transform based on singular value decomposition of directed Laplacian

no code implementations12 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.

MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation

2 code implementations10 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).

Image Segmentation Medical Image Segmentation +1

Predicting Solar Flares Using CNN and LSTM on Two Solar Cycles of Active Region Data

1 code implementation7 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.

Proximal PanNet: A Model-Based Deep Network for Pansharpening

no code implementations12 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.


Photonics-Assisted Joint Communication-Radar System Based on a QPSK-Sliced Linearly Frequency-Modulated Signal

no code implementations28 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.

Time-varying microwave photonic filter for arbitrary waveform signal-to-noise ratio improvement

no code implementations27 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).

Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learning

no code implementations28 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.

Transferrable Contrastive Learning for Visual Domain Adaptation

no code implementations14 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.

Contrastive Learning Domain Adaptation +2

A Style and Semantic Memory Mechanism for Domain Generalization

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.

Domain Generalization

Short-time Fourier transform based on stimulated Brillouin scattering

no code implementations26 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).

Digital-assisted photonic analog wideband multipath self-interference cancellation

no code implementations12 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.

Photonics-assisted wideband RF self-interference cancellation with digital domain amplitude and delay pre-matching

no code implementations7 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.

Time-frequency analysis of microwave signals based on stimulated Brillouin scattering

no code implementations7 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.

Spatiotemporal Inconsistency Learning for DeepFake Video Detection

no code implementations4 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).

Binary Classification Face Swapping

Photonic-enabled radio-frequency self-interference cancellation incorporated in an in-band full-duplex radio-over-fiber system

no code implementations1 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.

Cross-Subject Domain Adaptation for Classifying Working Memory Load with Multi-Frame EEG Images

no code implementations12 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.

Domain Adaptation EEG +2

EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation

no code implementations8 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.

Ensemble Learning Segmentation

Multi-functional microwave photonic radar system for simultaneous distance and velocity measurement and high-resolution microwave imaging

no code implementations27 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.

Towards Synthetic Multivariate Time Series Generation for Flare Forecasting

no code implementations16 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.

Synthetic Data Generation Time Series +1

Local Relation Learning for Face Forgery Detection

no code implementations6 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.

Adversarial Inverse Reinforcement Learning for Mean Field Games

no code implementations29 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.

reinforcement-learning Reinforcement Learning (RL)

Multiple radio frequency measurement with an improved frequency resolution based on stimulated Brillouin scattering with a reduced gain bandwidth

no code implementations23 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.

CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

5 code implementations18 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.

Retrieval Text Retrieval +4

Topologically protected valley-dependent quantum photonic circuits

no code implementations11 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

The Post-impact Evolution of the X-ray Emitting Gas in SNR 1987A Viewed by XMM-Newton

no code implementations5 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

On the hard $γ$-ray spectrum of the potential PeVatron supernova remnant G106.3+2.7

no code implementations2 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

Revealing a peculiar supernova remnant G106.3+2.7 as a petaelectronvolt proton accelerator with X-ray observations

no code implementations21 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

LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT

1 code implementation13 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.

Computed Tomography (CT) Image Restoration +1

Model Selection for Cross-Lingual Transfer

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.

Meta-Learning Model Selection +2

Model Selection for Cross-Lingual Transfer using a Learned Scoring Function

no code implementations28 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.

Model Selection Transfer Learning +1

Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model

5 code implementations27 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.

FTN: Foreground-Guided Texture-Focused Person Re-Identification

no code implementations24 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.

Person Re-Identification

Remote sensing image fusion based on Bayesian GAN

no code implementations20 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.

Bayesian Inference Image Reconstruction

Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion Detection

1 code implementation28 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.

Network Intrusion Detection

Homotopic Gradients of Generative Density Priors for MR Image Reconstruction

5 code implementations14 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.

Denoising MRI Reconstruction

Self-supervised Light Field View Synthesis Using Cycle Consistency

no code implementations12 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.

Fast and Accurate Optical Flow based Depth Map Estimation from Light Fields

no code implementations11 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.

Depth Estimation Optical Flow Estimation

A Study of Efficient Light Field Subsampling and Reconstruction Strategies

no code implementations11 Aug 2020 Yang Chen, Martin Alain, Aljosa Smolic

Limited angular resolution is one of the main obstacles for practical applications of light fields.


Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images

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.

Image Registration Medical Image Registration +1

SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization

no code implementations30 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.

Dimensionality Reduction

A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization

1 code implementation13 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

Marginal loss and exclusion loss for partially supervised multi-organ segmentation

no code implementations8 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.

Organ Segmentation Segmentation

PoPE: A population-based approach to model spatial structure of astronomical systems

1 code implementation29 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

Chemical abundances in Sgr A East: evidence for a type Iax supernova remnant

no code implementations26 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

Progressively Unfreezing Perceptual GAN

no code implementations18 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.

Image Super-Resolution Image-to-Image Translation +1

Learning Generalized Spoof Cues for Face Anti-spoofing

4 code implementations8 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.

Anomaly Detection Face Anti-Spoofing

An Empirical Study of Pre-trained Transformers for Arabic Information Extraction

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.

Cross-Lingual Transfer Language Modelling +10

TPPO: A Novel Trajectory Predictor with Pseudo Oracle

no code implementations4 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.

Autonomous Driving Human-Object Interaction Detection

A Novel Graph based Trajectory Predictor with Pseudo Oracle

no code implementations2 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.

Graph Attention Pedestrian Trajectory Prediction +2

Data Techniques For Online End-to-end Speech Recognition

no code implementations24 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.

Data Augmentation Domain Adaptation +3

Semi-supervised ASR by End-to-end Self-training

no code implementations24 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

Active Learning over DNN: Automated Engineering Design Optimization for Fluid Dynamics Based on Self-Simulated Dataset

no code implementations18 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.

Active Learning Test

Interpreting LSTM Prediction on Solar Flare Eruption with Time-series Clustering

1 code implementation27 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.

Binary Classification Clustering +3

Solar Flare Intensity Prediction with Machine Learning Models

1 code implementation12 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

"How do urban incidents affect traffic speed?" A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction

no code implementations3 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.

Predicting solar flares with machine learning: investigating solar cycle dependence

1 code implementation1 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

Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019

2 code implementations8 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.

Domain Adaptation Self-Learning +1

NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques

no code implementations1 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.


Mocycle-GAN: Unpaired Video-to-Video Translation

no code implementations26 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.

Motion Estimation Translation +1

An overlapping-free leaf segmentation method for plant point clouds

no code implementations12 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.

Plant Phenotyping Segmentation

PoMo: Generating Entity-Specific Post-Modifiers in Context

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.

Student's t-Generative Adversarial Networks

no code implementations6 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.

Image Generation

Structure Learning of Deep Networks via DNA Computing Algorithm

no code implementations25 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.

Continual Learning of Context-dependent Processing in Neural Networks

1 code implementation29 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.

Continual Learning

Deep Inferential Spatial-Temporal Network for Forecasting Air Pollution Concentrations

no code implementations11 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.

Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network

1 code implementation12 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.


CartoonGAN: Generative Adversarial Networks for Photo Cartoonization

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.

Real-to-Cartoon translation

Souper: A Synthesizing Superoptimizer

2 code implementations13 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

Learning to Rank Retargeted Images

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.

Image Retargeting Learning-To-Rank

MomentsNet: a simple learning-free method for binary image recognition

no code implementations22 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.

Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

1 code implementation1 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.

Lesion Detection

Denoising Hyperspectral Image with Non-i.i.d. Noise Structure

no code implementations1 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.


Blur Robust Optical Flow using Motion Channel

no code implementations7 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.

Optical Flow Estimation

Low-rank Matrix Factorization under General Mixture Noise Distributions

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.

Image Restoration

Color Image Classification via Quaternion Principal Component Analysis Network

no code implementations5 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.

Classification General Classification +1

Finding representative sets of optimizations for adaptive multiversioning applications

10 code implementations14 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.

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