no code implementations • COLING 2022 • Tianhao Gao, Jun Fang, Hanyu Liu, Zhiyuan Liu, Chao Liu, Pengzhang Liu, Yongjun Bao, Weipeng Yan
This paper proposes a unified generative multi-task framework that can solve multiple ABSA tasks by controlling the type of task prompts consisting of multiple element prompts.
Ranked #5 on
Aspect-Based Sentiment Analysis (ABSA)
on TASD
(using extra training data)
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
1 code implementation • 16 Jan 2025 • Fen Wang, Bomiao Wang, Xueli Shu, Zhen Liu, Zekai Shao, Chao Liu, Siming Chen
We introduce ChartInsighter, which automatically generates chart summaries of time-series data, effectively reducing hallucinations in chart summary generation.
no code implementations • 13 Jan 2025 • Weixi Feng, Chao Liu, Sifei Liu, William Yang Wang, Arash Vahdat, Weili Nie
In addition, we introduce a learnable module to interpolate text embeddings so that users can control semantics in specific frames and obtain smooth object transitions.
1 code implementation • 31 Dec 2024 • Haibo Tong, Enmeng Lu, Yinqian Sun, Zhengqiang Han, Chao Liu, Feifei Zhao, Yi Zeng
With the widespread application of Artificial Intelligence (AI) in human society, enabling AI to autonomously align with human values has become a pressing issue to ensure its sustainable development and benefit to humanity.
no code implementations • 24 Dec 2024 • Haosheng He, Jianpeng Qi, Chao Liu, Junyu Dong, Yanwei Yu
In compute-first networking, maintaining fresh and accurate status information at the network edge is crucial for effective access to remote services.
no code implementations • 18 Dec 2024 • Shen Zhang, Xueyi Shen, Ruida Zhu, Zilu Liang, Chao Liu
Providing commons in the risky world is crucial for human survival, however, suffers more from the "free-riding" problem.
no code implementations • 11 Dec 2024 • Shengze Wang, Xueting Li, Chao Liu, Matthew Chan, Michael Stengel, Henry Fuchs, Shalini De Mello, Koki Nagano
To this end, we propose a new fusion-based method that takes the best of both worlds by fusing a canonical 3D prior from a reference view with dynamic appearance from per-frame input views, producing temporally stable 3D videos with faithful reconstruction of the user's per-frame appearance.
no code implementations • 30 Nov 2024 • Yuwei Fan, Tao Song, Chenlong Feng, Keyu Song, Chao Liu, Dongxiang Jiang
This paper explores the application of a pre-trained large time series model, Timer, which was initially trained on a wide range of time series data from multiple domains, in the prediction of Supervisory Control and Data Acquisition (SCADA) data collected from wind turbines.
no code implementations • 4 Oct 2024 • Peter Yichen Chen, Chao Liu, Pingchuan Ma, John Eastman, Daniela Rus, Dylan Randle, Yuri Ivanov, Wojciech Matusik
Leveraging this insight, we develop differentiable simulations of robot-object interactions to inversely identify the properties of the manipulated objects.
no code implementations • 28 Aug 2024 • Lina Wang, Huan Yang, Yiran Shen, Chao Liu, Lianyong Qi, Xiuzhen Cheng, Feng Li
Therefore, to enable data sharing across the different platforms for diversified service recommendation, we propose a Privacy-preserving Diversified Service Recommendation (PDSR) method.
no code implementations • 29 Jul 2024 • Chao Liu, Xin Liu, Zitong Yu, Yonghong Hou, Huanjing Yue, Jingyu Yang
We initially conducted empirical analysis on the robustness of different modalities and observed that the skeleton modality is more robust than the RGB modality.
1 code implementation • 15 Jul 2024 • Mufeng Yao, Jinlong Peng, Qingdong He, Bo Peng, Hao Chen, Mingmin Chi, Chao Liu, Jon Atli Benediktsson
To address these issues, we propose the Motion Mamba Module, which explores both local and global motion features through cross-correlation and bi-directional Mamba Modules for better motion modeling.
1 code implementation • 11 Jul 2024 • Sizhe Lester Li, Annan Zhang, Boyuan Chen, Hanna Matusik, Chao Liu, Daniela Rus, Vincent Sitzmann
Our approach makes no assumptions about the robot's materials, actuation, or sensing, requires only a single camera for control, and learns to control the robot without expert intervention by observing the execution of random commands.
no code implementations • 4 Jun 2024 • Dejia Xu, Weili Nie, Chao Liu, Sifei Liu, Jan Kautz, Zhangyang Wang, Arash Vahdat
Recently video diffusion models have emerged as expressive generative tools for high-quality video content creation readily available to general users.
no code implementations • 1 Jun 2024 • Tao Song, Yuwei Fan, Chenlong Feng, Keyu Song, Chao Liu, Dongxiang Jiang
This study explores the application of large language models (LLMs) with callable tools in energy and power engineering domain, focusing on gas path analysis of gas turbines.
no code implementations • 14 May 2024 • Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat
To leverage the compositionality of large language models (LLMs), we introduce a new in-context learning approach to generate blob representations from text prompts.
no code implementations • 1 May 2024 • Shengze Wang, Xueting Li, Chao Liu, Matthew Chan, Michael Stengel, Josef Spjut, Henry Fuchs, Shalini De Mello, Koki Nagano
Recent breakthroughs in single-image 3D portrait reconstruction have enabled telepresence systems to stream 3D portrait videos from a single camera in real-time, potentially democratizing telepresence.
1 code implementation • 2 Feb 2024 • Chao Liu, Ting zhao, Nenggan Zheng
Curvilinear structures, which include line-like continuous objects, are fundamental geometrical elements in image-based applications.
no code implementations • 22 Jan 2024 • Chao Liu, Boxi Chen, Wei Shao, Chris Zhang, Kelvin Wong, Yi Zhang
Through our comprehensive review and analysis, this paper seeks to contribute to the ongoing discourse on ML-based IoT security, offering valuable insights and practical solutions to secure ML models and data in the rapidly expanding field of artificial intelligence in IoT.
2 code implementations • 3 Oct 2023 • Batu Ozturkler, Chao Liu, Benjamin Eckart, Morteza Mardani, Jiaming Song, Jan Kautz
However, diffusion models require careful tuning of inference hyperparameters on a validation set and are still sensitive to distribution shifts during testing.
no code implementations • 21 Sep 2023 • Hao Chen, Yusen Wu, Phuong Nguyen, Chao Liu, Yelena Yesha
This merging process not only enhances the model performance by converging to a better local optimum, but also minimizes computational costs, offering an efficient and explicit learning process integrated with stochastic gradient descent.
no code implementations • 29 Aug 2023 • Yazhou Xing, Amrita Mazumdar, Anjul Patney, Chao Liu, Hongxu Yin, Qifeng Chen, Jan Kautz, Iuri Frosio
We present a learning-based system to reduce these artifacts without resorting to complex acquisition mechanisms like alternating exposures or costly processing that are typical of high dynamic range (HDR) imaging.
1 code implementation • 23 Aug 2023 • Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
The benchmark results indicate that LLMs displayed only moderate proficiency in accuracy-based tasks such as sequential and direct recommendation.
no code implementations • 14 Aug 2023 • Mufeng Yao, Jiaqi Wang, Jinlong Peng, Mingmin Chi, Chao Liu
Given the extracted flow, the flow-guided feature augmentation is designed to augment the object detection feature based on its optical flow, which improves the detection of small objects.
no code implementations • 3 May 2023 • Alex Trevithick, Matthew Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano
We present a one-shot method to infer and render a photorealistic 3D representation from a single unposed image (e. g., face portrait) in real-time.
1 code implementation • 20 Apr 2023 • Junling Liu, Chao Liu, Peilin Zhou, Renjie Lv, Kang Zhou, Yan Zhang
We conduct human evaluations on two explainability-oriented tasks to more accurately evaluate the quality of contents generated by different models.
1 code implementation • 14 Apr 2023 • Cheng Liao, Han Hu, Xuekun Yuan, Haifeng Li, Chao Liu, Chunyang Liu, Gui Fu, Yulin Ding, Qing Zhu
This contrastive learning strategy allowed us to inject the semantics of buildings into a pipeline for the detection of changes, which is achieved by increasing the distinguishability of features of buildings from those of non-buildings.
no code implementations • 8 Mar 2023 • Huaqing Wang, Junfeng Jing, Ning li, Weichuan Zhang, Chao Liu
In this work, the capability of the Gabor function to discriminate the intensity changes of step edges, L-shaped corners, Y-shaped or T-shaped corners, X-shaped corners, and star-shaped corners are investigated.
no code implementations • 13 Feb 2023 • Shushi Chen, Leilei Huang, Jiahao Liu, Chao Liu, Yibo Fan
In this context, this paper proposes an error-surface-based FME algorithm and the corresponding hardware implementation.
no code implementations • 21 Dec 2022 • Lianhao Yin, Makram Chahine, Tsun-Hsuan Wang, Tim Seyde, Chao Liu, Mathias Lechner, Ramin Hasani, Daniela Rus
We propose an air-guardian system that facilitates cooperation between a pilot with eye tracking and a parallel end-to-end neural control system.
no code implementations • 13 Sep 2022 • Zijie Wang, Aichun Zhu, Jingyi Xue, Xili Wan, Chao Liu, Tian Wang, Yifeng Li
Indeed, color information is an important decision-making accordance for retrieval, but the over-reliance on color would distract the model from other key clues (e. g. texture information, structural information, etc.
no code implementations • 13 Sep 2022 • Zijie Wang, Aichun Zhu, Jingyi Xue, Xili Wan, Chao Liu, Tian Wang, Yifeng Li
We evaluate our proposed method on two text-based person retrieval datasets CUHK-PEDES and RSTPReid.
no code implementations • 28 Aug 2022 • Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
In the context of distributed deep learning, the issue of stale weights or gradients could result in poor algorithmic performance.
1 code implementation • SSRN 2022 • Yiyang Li, Bo Yang, Wanruo Zhang, Wenfeng Zheng, Chao Liu
This work aims to predict the 3D coordinates of the point of interest (POI) on the surface of beating heart in dynamic minimally invasive surgery, which can improve the manoeuvrability of cardiac surgical robots and expand their functions.
1 code implementation • 14 Jul 2022 • Runpeng Hou, Ziyuan Ye, Chengyu Yang, Linhao Fu, Chao Liu, Quanying Liu
Our work offers a benchmark dataset for training deep learning models for capillary image segmentation and provides a potential tool for future capillary research.
1 code implementation • 27 Jun 2022 • Chao Liu, Jianwei Guo, Dong-Ming Yan, Zhirong Liang, Xiaopeng Zhang, Zhanglin Cheng
Registering urban point clouds is a quite challenging task due to the large-scale, noise and data incompleteness of LiDAR scanning data.
1 code implementation • 27 Apr 2022 • Yizhi Li, Wei Fan, Chao Liu, Chenghua Lin, Jiang Qian
However, such a method strictly restricts entities on the hyper-ellipsoid surfaces which limits the optimization of entity distribution, leading to suboptimal performance of knowledge graph completion.
no code implementations • 9 Apr 2022 • Yueming Zhang, Xingxu Yao, Chao Liu, Feng Chen, Xiaolin Song, Tengfei Xing, Runbo Hu, Hua Chai, Pengfei Xu, Guoshan Zhang
In this paper, we design a dynamic self-adaptive threshold (DSAT) strategy in classification branch, which can automatically select pseudo labels to achieve an optimal trade-off between quality and quantity.
no code implementations • 28 Mar 2022 • Chao Liu, Hao Chen, Yusen Wu, Rui Jin
In this paper, we propose a novel design, called MixNN, for protecting deep learning model structure and parameters.
1 code implementation • 26 Mar 2022 • Phoenix X. Huang, Zhiwei Zhao, Chao Liu, Jingyi Liu, Wenze Hu, Xiaoyu Wang
This paper detailed the engineering system implementation of an automated machine learning system called YMIR, which completely relies on graphical interface to interact with users.
no code implementations • 7 Mar 2022 • Nan Su, Yuchi Zhang, Chao Liu, Bingzhu Du, Yongliang Wang
And only historical information is used for inference.
no code implementations • 13 Jan 2022 • Chunyuan Zhang, Chao Liu, Qi Song, Jie Zhao
However, limited by the strong correlation among sequential samples of the agent, ESN-based policy control algorithms are difficult to use the recursive least squares (RLS) algorithm to update the ESN's parameters.
no code implementations • 4 Jan 2022 • Yan Pang, Chao Liu
To improve functionality, we propose a new transparent network called Graph Decipher to investigate the message-passing mechanism by prioritizing in two main components: the graph structure and node attributes, at the graph, feature, and global levels on a graph under the node classification task.
no code implementations • 4 Jan 2022 • Yan Pang, Chao Liu
Dynamic graph neural networks have been widely used in modeling and representation learning of graph structure data.
no code implementations • 31 Oct 2021 • Zhao Zan, Chao Liu, Heming Sun, Xiaoyang Zeng, Yibo Fan
Learned image compression techniques have achieved considerable development in recent years.
no code implementations • 5 Sep 2021 • Yusen Wu, Hao Chen, Xin Wang, Chao Liu, Phuong Nguyen, Yelena Yesha
In addition, Byzantine faults including software, hardware, network issues occur in distributed systems which also lead to a negative impact on the prediction outcome.
1 code implementation • 19 Aug 2021 • Chao Liu, Heming Sun, Jiro Katto, Xiaoyang Zeng, Yibo Fan
To reduce the complexity, a light ResNet structure is used as the backbone for both RP-Net and LF-Net.
no code implementations • CVPR 2021 • Benjamin Eckart, Wentao Yuan, Chao Liu, Jan Kautz
In this work, we introduce a general method for 3D self-supervised representation learning that 1) remains agnostic to the underlying neural network architecture, and 2) specifically leverages the geometric nature of 3D point cloud data.
1 code implementation • 16 Jun 2021 • Yueming Zhang, Xiaolin Song, Bing Bai, Tengfei Xing, Chao Liu, Xin Gao, Zhihui Wang, Yawei Wen, Haojin Liao, Guoshan Zhang, Pengfei Xu
In an autonomous driving system, it is essential to recognize vehicles, pedestrians and cyclists from images.
Ranked #1 on
Object Detection
on Waymo Open Dataset
1 code implementation • The CVPR 2021 Workshop on Autonomous Driving (WAD) 2021 • Yueming Zhang, Xiaolin Song, Bing Bai, Tengfei Xing, Chao Liu, Xin Gao, Zhihui Wang, Yawei Wen, Haojin Liao, Guoshan Zhang, Pengfei Xu
In an autonomous driving system, it is essential to recognize vehicles, pedestrians and cyclists from images.
no code implementations • 4 Mar 2021 • Bin Wang, Han Liu, Chao Liu, Zhiqiang Yang, Qian Ren, Huixuan Zheng, Hong Lei
We applied BLOCKEYE in several popular DeFi projects and managed to discover potential security attacks that are unreported before.
Cryptography and Security Computers and Society
no code implementations • 18 Feb 2021 • Di-Chang. Chen, Ji Wei Xie, Ji-Lin. Zhou, Subo Dong, Chao Liu, Hai-Feng Wang, Mao-Sheng Xiang, Yang Huang, Ali Luo, Zheng Zheng
The revised kinematic method and AVR as well as the stellar catalog of kinematic properties and ages lay foundation for future studies on exoplanets from two dimensions of space and time in the Galactic context.
Earth and Planetary Astrophysics Astrophysics of Galaxies Solar and Stellar Astrophysics
no code implementations • 1 Feb 2021 • Yang Yu, Hai-Feng Wang, Wen-Yuan Cui, Lin-Lin Li, Chao Liu, Bo Zhang, Hao Tian, Zhen-Yan Huo, Jie Ju, Zhi-Cun Liu, Fang Wen, Shuai Feng
We present analysis of the spatial density structure for the outer disk from 8$-$14 \, kpc with the LAMOST DR5 13534 OB-type stars and observe similar flaring on north and south sides of the disk implying that the flaring structure is symmetrical about the Galactic plane, for which the scale height at different Galactocentric distance is from 0. 14 to 0. 5 \, kpc.
Astrophysics of Galaxies
no code implementations • 7 Jan 2021 • Jing Li, Xiang-Xiang Xue, Chao Liu, Bo Zhang, Hans-Walter Rix, Jeffrey L. Carlin, Chengqun Yang, Rene A. Mendez, Jing Zhong, Hao Tian, Lan Zhang, Yan Xu, Yaqian Wu, Gang Zhao, Ruixiang Chang
Their location in [$\alpha$/M] vs. [M/H] space is more metal poor than typical thin disk stars, with [$\alpha$/M] \textbf{lower} than the thick disk.
Astrophysics of Galaxies
no code implementations • 24 Dec 2020 • Yangyang Qu, Chao Liu, Yongsheng Ou
Due to the lack of real-world datasets, they usually perform poorly when generalized in practice in terms of loss of image edge and color information.
no code implementations • 24 Dec 2020 • Xiao-Wei Duan, Xiao-Dian Chen, Li-Cai Deng, Fan Yang, Chao Liu, Anupam Bhardwaj, Hua-Wei Zhang
The nature of shock waves in non-fundamental mode RR Lyrae stars remains a mystery because of limited spectroscopic observations.
Solar and Stellar Astrophysics
no code implementations • 24 Dec 2020 • Yangyang Qu, Kai Chen, Chao Liu, Yongsheng Ou
To address this problem, we propose a real-time unsupervised generative adversarial network (GAN) containing multiple discriminators, i. e. a multi-scale discriminator, a texture discriminator, and a color discriminator.
no code implementations • 25 Oct 2020 • Chao Liu, Heming Sun, Jiro Katto, Xiaoyang Zeng, Yibo Fan
Convolutional neural network (CNN)-based filters have achieved great success in video coding.
1 code implementation • 5 Sep 2020 • Fangfang Zhou, Yong Zhao, Wenjiang Chen, Yijing Tan, Yaqi Xu, Yi Chen, Chao Liu, Ying Zhao
Reverse-engineering bar charts extracts textual and numeric information from the visual representations of bar charts to support application scenarios that require the underlying information.
no code implementations • 25 Jun 2020 • Chao Liu, Cuiyun Gao, Xin Xia, David Lo, John Grundy, Xiaohu Yang
Experimental results show the importance of replicability and reproducibility, where the reported performance of a DL model could not be replicated for an unstable optimization process.
no code implementations • 29 May 2020 • Chao Liu, Xin Xia, David Lo, Zhiwei Liu, Ahmed E. Hassan, Shanping Li
CodeMatcher first collects metadata for query words to identify irrelevant/noisy ones, then iteratively performs fuzzy search with important query words on the codebase that is indexed by the Elasticsearch tool, and finally reranks a set of returned candidate code according to how the tokens in the candidate code snippet sequentially matched the important words in a query.
no code implementations • 28 Jan 2020 • Xiaoli Liu, Pan Hu, Zhi Mao, Po-Chih Kuo, Peiyao Li, Chao Liu, Jie Hu, Deyu Li, Desen Cao, Roger G. Mark, Leo Anthony Celi, Zhengbo Zhang, Feihu Zhou
This study aims to develop an interpretable and generalizable model for early mortality prediction in elderly patients with MODS.
no code implementations • 22 Nov 2019 • Chao Liu, Heming Sun, Junan Chen, Zhengxue Cheng, Masaru Takeuchi, Jiro Katto, Xiaoyang Zeng, Yibo Fan
This method is mainly composed of two parts: intra prediction and reconstruction filtering.
no code implementations • WS 2019 • Qi Zhang, Chao Liu, Ying Chi, Xuansong Xie, Xian-Sheng Hua
This paper presents a novel transfer multi-task learning method for Bacteria Biotope rel+ner task at BioNLP-OST 2019.
no code implementations • 21 Oct 2019 • He Tang, Xiaobing Pei, Shilong Huang, Xin Li, Chao Liu
The clinical treatment of degenerative and developmental lumbar spinal stenosis (LSS) is different.
3 code implementations • 30 Sep 2019 • Jehandad Khan, Paul Fultz, Artem Tamazov, Daniel Lowell, Chao Liu, Michael Melesse, Murali Nandhimandalam, Kamil Nasyrov, Ilya Perminov, Tejash Shah, Vasilii Filippov, Jing Zhang, Jing Zhou, Bragadeesh Natarajan, Mayank Daga
Deep Learning has established itself to be a common occurrence in the business lexicon.
no code implementations • 29 Sep 2019 • Jialun Pei, He Tang, Chao Liu, Chuanbo Chen
The experimental results on both salient region detection and salient instance segmentation datasets demonstrate the satisfactory performance of our framework.
1 code implementation • 23 Aug 2019 • Bo Zhang, Chao Liu, Li-Cai Deng
To illustrate this capability, we test the performance of SLAM on stars ranging from Teff$\sim$4000 to $\sim$8000 K trained on LAMOST spectra and stellar labels.
Solar and Stellar Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
2 code implementations • 2 Aug 2019 • Kun Han, Junwen Chen, HUI ZHANG, Haiyang Xu, Yiping Peng, Yun Wang, Ning Ding, Hui Deng, Yonghu Gao, Tingwei Guo, Yi Zhang, Yahao He, Baochang Ma, Yu-Long Zhou, Kangli Zhang, Chao Liu, Ying Lyu, Chenxi Wang, Cheng Gong, Yunbo Wang, Wei Zou, Hui Song, Xiangang Li
In this paper we present DELTA, a deep learning based language technology platform.
Ranked #3 on
Named Entity Recognition
on CoNLL 2003 (English)
no code implementations • CVPR 2019 • Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa G. Narasimhan, Jan Kautz
Depth sensing is crucial for 3D reconstruction and scene understanding.
1 code implementation • 9 Jan 2019 • Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz
Depth sensing is crucial for 3D reconstruction and scene understanding.
no code implementations • 28 Oct 2018 • Chao Liu, Changhua Wei
Several previous results as specific examples can be covered in the results of this article.
General Relativity and Quantum Cosmology Analysis of PDEs Primary 35A01, Secondary 35Q31, 35Q76, 83C05, 83F05
no code implementations • 31 May 2018 • Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
Performance monitoring, anomaly detection, and root-cause analysis in complex cyber-physical systems (CPSs) are often highly intractable due to widely diverse operational modes, disparate data types, and complex fault propagation mechanisms.
no code implementations • 30 May 2018 • Zehui Jiang, Chao Liu, Nathan P. Hendricks, Baskar Ganapathysubramanian, Dermot J. Hayes, Soumik Sarkar
Corn yield prediction is beneficial as it provides valuable information about production and prices prior the harvest.
no code implementations • 18 Apr 2018 • Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang
In recent years, an increasing popularity of deep learning model for intelligent condition monitoring and diagnosis as well as prognostics used for mechanical systems and structures has been observed.
no code implementations • 28 Nov 2017 • Chao Liu, Todd A. Oliynyk
We establish the existence of $1$-parameter families of $\epsilon$-dependent solutions to the Einstein-Euler equations with a positive cosmological constant $\Lambda >0$ and a linear equation of state $p=\epsilon^2 K \rho$, $0<K\leq 1/3$, for the parameter values $0<\epsilon < \epsilon_0$.
General Relativity and Quantum Cosmology Analysis of PDEs
no code implementations • CVPR 2017 • Chao Liu, Srinivasa G. Narasimhan, Artur W. Dubrawski
For macro-scale, we evaluate our method on scenes with complex 3D thin structures such as tree branches and grass.
no code implementations • 3 Feb 2017 • Zhanhong Jiang, Chao Liu, Adedotun Akintayo, Gregor Henze, Soumik Sarkar
This paper presents a novel data-driven technique based on the spatiotemporal pattern network (STPN) for energy/power prediction for complex dynamical systems.
no code implementations • 14 Jan 2017 • Chao Liu, Todd A. Oliynyk
We establish the existence of $1$-parameter families of $\epsilon$-dependent solutions to the Einstein-Euler equations with a positive cosmological constant $\Lambda >0$ and a linear equation of state $p=\epsilon^2 K \rho$, $0<K\leq 1/3$, for the parameter values $0<\epsilon < \epsilon_0$.
General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics Analysis of PDEs
no code implementations • 20 May 2016 • Chao Liu, Kin Gwn Lore, Soumik Sarkar
Modern distributed cyber-physical systems encounter a large variety of anomalies and in many cases, they are vulnerable to catastrophic fault propagation scenarios due to strong connectivity among the sub-systems.
no code implementations • 24 Dec 2015 • Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar
Modern distributed cyber-physical systems (CPSs) encounter a large variety of physical faults and cyber anomalies and in many cases, they are vulnerable to catastrophic fault propagation scenarios due to strong connectivity among the sub-systems.
no code implementations • CVPR 2015 • Chao Liu, Hernando Gomez, Srinivasa Narasimhan, Artur Dubrawski, Michael R. Pinsky, Brian Zuckerbraun
Our method is able to extract microcirculatory measurements that are consistent with clinical intuition and it has a potential to become a useful tool in critical care medicine.
no code implementations • CVPR 2013 • Chao Liu, Geifei Yang, Jinwei Gu
We built an LED-based multispectral dome, with which we have acquired a BTF database of a variety of materials and demonstrated the effectiveness of the proposed approach for material classification.