Search Results for author: Chen Yang

Found 55 papers, 24 papers with code

WcDT: World-centric Diffusion Transformer for Traffic Scene Generation

1 code implementation2 Apr 2024 Chen Yang, Aaron Xuxiang Tian, Dong Chen, Tianyu Shi, Arsalan Heydarian

To enhance the scene diversity and stochasticity, the historical trajectory data is first preprocessed and encoded into latent space using Denoising Diffusion Probabilistic Models (DDPM) enhanced with Diffusion with Transformer (DiT) blocks.

Autonomous Driving Denoising +1

Annolid: Annotate, Segment, and Track Anything You Need

no code implementations27 Mar 2024 Chen Yang, Thomas A. Cleland

Annolid is a deep learning-based software package designed for the segmentation, labeling, and tracking of research targets within video files, focusing primarily on animal behavior analysis.

Instance Segmentation Segmentation +3

EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting

no code implementations22 Mar 2024 Kailing Wang, Chen Yang, Yuehao Wang, Sikuang Li, Yan Wang, Qi Dou, Xiaokang Yang, Wei Shen

Precise camera tracking, high-fidelity 3D tissue reconstruction, and real-time online visualization are critical for intrabody medical imaging devices such as endoscopes and capsule robots.

Simultaneous Localization and Mapping

A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation

1 code implementation20 Mar 2024 Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Wayne Xin Zhao, Ji-Rong Wen

Meanwhile, we leverage the LLM recommender as a supplemental component (discarded in deployment) to better capture underlying user preferences from heterogeneous interaction behaviors.

Language Modelling Large Language Model +1

From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations

1 code implementation15 Mar 2024 Xinli Hao, Yile Chen, Chen Yang, Zhihui Du, Chaohong Ma, Chao Wu, Xiaofeng Meng

However, existing time series anomaly detection methods fall short in tackling the unique characteristics of astronomical observations where each star is inherently independent but interfered by random concurrent noise, resulting in a high rate of false alarms.

Graph structure learning Time Series +2

A prediction-based forward-looking vehicle dispatching strategy for dynamic ride-pooling

no code implementations11 Mar 2024 Xiaolei Wang, Chen Yang, Yuzhen Feng, Luohan Hu, Zhengbing He

For on-demand dynamic ride-pooling services, e. g., Uber Pool and Didi Pinche, a well-designed vehicle dispatching strategy is crucial for platform profitability and passenger experience.

GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting

1 code implementation15 Feb 2024 Chen Yang, Sikuang Li, Jiemin Fang, Ruofan Liang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian

Then we construct a Gaussian repair model based on diffusion models to supplement the omitted object information, where Gaussians are further refined.

Neural Rendering Object

EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction

1 code implementation23 Jan 2024 Yifan Liu, Chenxin Li, Chen Yang, Yixuan Yuan

To adapt 3DGS for endoscopic scenes, we propose two strategies, Holistic Gaussian Initialization (HGI) and Spatio-temporal Gaussian Tracking (SGT), to handle the non-trivial Gaussian initialization and tissue deformation problems, respectively.

Depth Estimation

A Survey of Resource-efficient LLM and Multimodal Foundation Models

1 code implementation16 Jan 2024 Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, QiPeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu

Large foundation models, including large language models (LLMs), vision transformers (ViTs), diffusion, and LLM-based multimodal models, are revolutionizing the entire machine learning lifecycle, from training to deployment.

An Exploratory Study on Automatic Identification of Assumptions in the Development of Deep Learning Frameworks

1 code implementation8 Jan 2024 Chen Yang, Peng Liang, Zinan Ma

To overcome the issues of manually identifying assumptions in DL framework development, we constructed a new and largest dataset (i. e., AssuEval) of assumptions collected from the TensorFlow and Keras repositories on GitHub; explored the performance of seven traditional machine learning models (e. g., Support Vector Machine, Classification and Regression Trees), a popular DL model (i. e., ALBERT), and a large language model (i. e., ChatGPT) of identifying assumptions on the AssuEval dataset.

Language Modelling Large Language Model

An Incremental Update Framework for Online Recommenders with Data-Driven Prior

no code implementations26 Dec 2023 Chen Yang, Jin Chen, Qian Yu, Xiangdong Wu, Kui Ma, Zihao Zhao, Zhiwei Fang, Wenlong Chen, Chaosheng Fan, Jie He, Changping Peng, Zhangang Lin, Jingping Shao

To address the aforementioned issue, we propose an incremental update framework for online recommenders with Data-Driven Prior (DDP), which is composed of Feature Prior (FP) and Model Prior (MP).

Continual Learning

Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane

2 code implementations23 Dec 2023 Chen Yang, Kailing Wang, Yuehao Wang, Qi Dou, Xiaokang Yang, Wei Shen

Intraoperative imaging techniques for reconstructing deformable tissues in vivo are pivotal for advanced surgical systems.

Automated Behavioral Analysis Using Instance Segmentation

1 code implementation12 Dec 2023 Chen Yang, Jeremy Forest, Matthew Einhorn, Thomas A. Cleland

To demonstrate the effectiveness of our method, we conducted a series of experiments, revealing that our approach achieves exceptional performance levels, comparable to human capabilities, across a diverse range of animal behavior analysis tasks.

Instance Segmentation Segmentation +2

Segment Any 3D Gaussians

no code implementations1 Dec 2023 Jiazhong Cen, Jiemin Fang, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian

Interactive 3D segmentation in radiance fields is an appealing task since its importance in 3D scene understanding and manipulation.

Interactive Segmentation Scene Understanding +1

Mobile Foundation Model as Firmware

1 code implementation28 Aug 2023 Jinliang Yuan, Chen Yang, Dongqi Cai, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu

Concurrently, each app contributes a concise, offline fine-tuned "adapter" tailored to distinct downstream tasks.

NLP-based detection of systematic anomalies among the narratives of consumer complaints

no code implementations22 Aug 2023 Peiheng Gao, Ning Sun, Xuefeng Wang, Chen Yang, Ričardas Zitikis

We develop an NLP-based procedure for detecting systematic nonmeritorious consumer complaints, simply called systematic anomalies, among complaint narratives.

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction

1 code implementation25 Jul 2023 Zi Wang, Xiaotong Yu, Chengyan Wang, Weibo Chen, Jiazheng Wang, Ying-Hua Chu, Hongwei Sun, Rushuai Li, Peiyong Li, Fan Yang, Haiwei Han, Taishan Kang, Jianzhong Lin, Chen Yang, Shufu Chang, Zhang Shi, Sha Hua, Yan Li, Juan Hu, Liuhong Zhu, Jianjun Zhou, Meijing Lin, Jiefeng Guo, Congbo Cai, Zhong Chen, Di Guo, Guang Yang, Xiaobo Qu

We demonstrate that training DL models on synthetic data, coupled with enhanced learning techniques, yields in vivo MRI reconstructions comparable to or surpassing those of models trained on matched realistic datasets, reducing the reliance on real-world MRI data by up to 96%.

Medical Diagnosis MRI Reconstruction

Non-Concave Utility Maximization with Transaction Costs

no code implementations5 Jul 2023 Shuaijie Qian, Chen Yang

This paper studies a finite-horizon portfolio selection problem with non-concave terminal utility and proportional transaction costs.

Position valid

Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

2 code implementations31 May 2023 Chen Yang, Kailing Wang, Yuehao Wang, Xiaokang Yang, Wei Shen

Reconstructing deformable tissues from endoscopic stereo videos in robotic surgery is crucial for various clinical applications.

4D reconstruction

Assessment of Anterior Cruciate Ligament Injury Risk Based on Human Key Points Detection Algorithm

1 code implementation24 May 2023 Ziyu Gong, Xiong Zhao, Chen Yang

This paper aims to detect the potential injury risk of the anterior cruciate ligament (ACL) by proposing an ACL potential injury risk assessment algorithm based on key points of the human body detected using computer vision technology.

Segment Anything in 3D with Radiance Fields

1 code implementation NeurIPS 2023 Jiazhong Cen, Jiemin Fang, Zanwei Zhou, Chen Yang, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian

The Segment Anything Model (SAM) emerges as a powerful vision foundation model to generate high-quality 2D segmentation results.

Inverse Rendering Segmentation

A Survey of Large Language Models

5 code implementations31 Mar 2023 Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, YiFan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, Ji-Rong Wen

To discriminate the difference in parameter scale, the research community has coined the term large language models (LLM) for the PLMs of significant size.

Language Modelling

Multifunctional fiber-based optoacoustic emitter for non-genetic bidirectional neural communication

no code implementations9 Jan 2023 Nan Zheng, Ying Jiang, Shan Jiang, Jongwoon Kim, Yueming Li, Ji-Xin Cheng, Xiaoting Jia, Chen Yang

In vivo application of mFOE for successful simultaneous optoacoustic stimulation and electrical recording of brain activities was confirmed in mouse hippocampus in both acute and chronical applications up to 1 month.

Hippocampus

NeRF-MS: Neural Radiance Fields with Multi-Sequence

no code implementations ICCV 2023 Peihao Li, Shaohui Wang, Chen Yang, Bingbing Liu, Weichao Qiu, Haoqian Wang

Neural radiance fields (NeRF) achieve impressive performance in novel view synthesis when trained on only single sequence data.

Novel View Synthesis

FedPD: Federated Open Set Recognition with Parameter Disentanglement

no code implementations ICCV 2023 Chen Yang, Meilu Zhu, Yifan Liu, Yixuan Yuan

To this end, we aim to study a novel problem of federated open-set recognition (FedOSR), which learns an open-set recognition (OSR) model under federated paradigm such that it classifies seen classes while at the same time detects unknown classes.

Disentanglement Federated Learning +1

SPIDR: SDF-based Neural Point Fields for Illumination and Deformation

no code implementations15 Oct 2022 Ruofan Liang, Jiahao Zhang, Haoda Li, Chen Yang, Yushi Guan, Nandita Vijaykumar

To enable more accurate illumination updates after deformation, we use the shadow mapping technique to approximate the light visibility updates caused by geometry editing.

3D Reconstruction Lighting Estimation +2

Multi tasks RetinaNet for mitosis detection

no code implementations26 Aug 2022 Chen Yang, Wang Ziyue, Fang Zijie, Bian Hao, Zhang Yongbing

However, due to the variability of mitotic cell morphology, it is a highly challenging task to detect mitotic cells in tumor tissues.

Cell Detection Data Augmentation +2

Video Interpolation by Event-driven Anisotropic Adjustment of Optical Flow

no code implementations19 Aug 2022 Song Wu, Kaichao You, Weihua He, Chen Yang, Yang Tian, Yaoyuan Wang, Ziyang Zhang, Jianxing Liao

In this paper, we propose an end-to-end training method A^2OF for video frame interpolation with event-driven Anisotropic Adjustment of Optical Flows.

Optical Flow Estimation Video Frame Interpolation

Modeling Two-Way Selection Preference for Person-Job Fit

1 code implementation18 Aug 2022 Chen Yang, Yupeng Hou, Yang song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao

To model the two-way selection preference from the dual-perspective of job seekers and employers, we incorporate two different nodes for each candidate (or job) and characterize both successful matching and failed matching via a unified dual-perspective interaction graph.

Contrastive Learning Graph Representation Learning +1

RecBole 2.0: Towards a More Up-to-Date Recommendation Library

2 code implementations15 Jun 2022 Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen

In order to support the study of recent advances in recommender systems, this paper presents an extended recommendation library consisting of eight packages for up-to-date topics and architectures.

Benchmarking Data Augmentation +3

Optically-generated focused ultrasound for noninvasive brain stimulation with ultrahigh precision

no code implementations19 Apr 2022 Yueming Li, Ying Jiang, Lu Lan, Xiaowei Ge, Ran Cheng, Yuewei Zhan, Guo Chen, Linli Shi, Runyu Wang, Nan Zheng, Chen Yang, Ji-Xin Cheng

Here, we report optically-generated focused ultrasound (OFUS) for non-invasive brain stimulation with ultrahigh precision.

FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

2 code implementations21 Nov 2021 Zhonghua Li, Biao Hou, Zitong Wu, Licheng Jiao, Bo Ren, Chen Yang

We convert a lightweight FCOSR model to TensorRT format, which achieves 73. 93 mAP on DOTA1. 0 at a speed of 10. 68 FPS on Jetson Xavier NX with single scale.

object-detection Object Detection +1

Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning

1 code implementation1 Oct 2021 Zhen Chen, Meilu Zhu, Chen Yang, Yixuan Yuan

To address this problem, we propose a personalized retrogress-resilient framework to produce a superior personalized model for each client.

Federated Learning

Photoacoustic Silk Scaffolds for Neural stimulation and Regeneration

no code implementations28 Jun 2021 Nan Zheng, Vincent Fitzpatrick, Ran Cheng, Linli Shi, David L. Kaplan, Chen Yang

We also confirmed that photoacoustic neural stimulation promoted neurite outgrowth by impacting the brain-derived neurotrophic factor (BDNF) pathway.

Physical Artificial Intelligence: The Concept Expansion of Next-Generation Artificial Intelligence

no code implementations13 May 2021 Yingbo Li, Yucong Duan, Anamaria-Beatrice Spulber, Haoyang Che, Zakaria Maamar, Zhao Li, Chen Yang, Yu Lei

In this paper we explore the concept of Physicial Artifical Intelligence and propose two subdomains: Integrated Physicial Artifical Intelligence and Distributed Physicial Artifical Intelligence.

MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation

1 code implementation CVPR 2021 Xiaoqing Guo, Chen Yang, Baopu Li, Yixuan Yuan

Existing self-training based UDA approaches assign pseudo labels for target data and treat them as ground truth labels to fully leverage unlabeled target data for model adaptation.

Meta-Learning Semantic Segmentation +2

Learning Better Sentence Representation with Syntax Information

no code implementations9 Jan 2021 Chen Yang

However, how to add external knowledge to further improve the semantic modeling capability of model is worth probing.

Language Modelling Question Answering +7

Imaging vibrations of locally gated, electromechanical few layer graphene resonators with a moving vacuum enclosure

no code implementations4 Jan 2021 Heng Lu, Chen Yang, Ye Tian, Jun Lu, Fanqi Xu, FengNan Chen, Yan Ying, Kevin G. Schädler, Chinhua Wang, Frank H. L. Koppens, Antoine Reserbat-Plantey, Joel Moser

With it we characterize the lowest frequency mode of a FLG resonator by measuring its frequency response as a function of position on the membrane.

Mesoscale and Nanoscale Physics

Improving Machine Translation by Searching Skip Connections Efficiently

no code implementations1 Jan 2021 Chen Yang, Houfeng Wang

To improve the efficiency of trying different skip connection architectures, we apply the idea of network morphism to add skip connections as a procedure of fine-tuning.

Machine Translation Translation

Non-genetic acoustic stimulation of single neurons by a tapered fiber optoacoustic emitter

no code implementations17 Dec 2020 Linli Shi, Ying Jiang, Fernando R. Fernandez, Lu Lan, Guo Chen, Heng-ye Man, John A. White, Ji-Xin Cheng, Chen Yang

As an emerging technology, transcranial focused ultrasound has been demonstrated to successfully evoke motor responses in mice, rabbits, and sensory/motor responses in humans.

An Equilibrium Model for the Cross-Section of Liquidity Premia

no code implementations27 Nov 2020 Johannes Muhle-Karbe, Xiaofei Shi, Chen Yang

We study a risk-sharing economy where an arbitrary number of heterogenous agents trades an arbitrary number of risky assets subject to quadratic transaction costs.

Time Series Time Series Analysis

Detecting systematic anomalies affecting systems when inputs are stationary time series

no code implementations20 Nov 2020 Ning Sun, Chen Yang, Ričardas Zitikis

We develop an anomaly-detection method when systematic anomalies, possibly statistically very similar to genuine inputs, are affecting control systems at the input and/or output stages.

Anomaly Detection Time Series Analysis Methodology 94A12, 94A13, 62P30, 62P35

CHECKED: Chinese COVID-19 Fake News Dataset

1 code implementation18 Oct 2020 Chen Yang, Xinyi Zhou, Reza Zafarani

Also, misinformation on COVID-19 is frequently spread on social media.

Misinformation

Req2Lib: A Semantic Neural Model for Software Library Recommendation

no code implementations24 May 2020 Zhensu Sun, Yan Liu, Ziming Cheng, Chen Yang, Pengyu Che

In this work, we would like to make recommendations based on requirement descriptions to avoid these problems.

Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction

1 code implementation16 Dec 2019 Xiaoqing Guo, Chen Yang, Pak Lun Lam, Peter Y. M. Woo, Yixuan Yuan

Automatically segmenting sub-regions of gliomas (necrosis, edema and enhancing tumor) and accurately predicting overall survival (OS) time from multimodal MRI sequences have important clinical significance in diagnosis, prognosis and treatment of gliomas.

Brain Tumor Segmentation Position +3

A resnet-based universal method for speckle reduction in optical coherence tomography images

no code implementations22 Mar 2019 Cai Ning, Shi Fei, Hu Dianlin, Chen Yang

In this work we propose a ResNet-based universal method for speckle reduction in optical coherence tomography (OCT) images.

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