1 code implementation • 1 Mar 2024 • Ye Chen, Igor Couto, Wei Cai, Cong Fu, Bruno Dorneles
We introduce SoftTiger, a clinical large language model (CLaM) designed as a foundation model for healthcare workflows.
1 code implementation • 14 Dec 2023 • Ye Chen, Wei Cai, Liangmin Wu, Xiaowei Li, Zhanxuan Xin, Cong Fu
We release and introduce the TigerBot family of large language models (LLMs), consisting of base and chat models, sized from 7, 13, 70 and 180 billion parameters.
no code implementations • 10 Apr 2023 • Jinxian Liu, Ye Chen, Bingbing Ni, Jiyao Mao, Zhenbo Yu
Humans have a strong intuitive understanding of physical processes such as fluid falling by just a glimpse of such a scene picture, i. e., quickly derived from our immersive visual experiences in memory.
no code implementations • ICCV 2023 • Ye Chen, Bingbing Ni, Xuanhong Chen, Zhangli Hu
This work explores a novel image geometric abstraction paradigm based on assembly out of a pool of pre-defined simple parametric primitives (i. e., triangle, rectangle, circle and semicircle), facilitating controllable shape editing in images.
no code implementations • 29 Sep 2021 • Jacob Neumann, Yen Ting Lin, Abhishek Mallela, Ely F. Miller, Joshua Colvin, Abell T. Duprat1, Ye Chen, William S. Hlavacek, Richard G. Posner
Bayesian inference in biological modeling commonly relies on Markov chain Monte Carlo (MCMC) sampling of a multidimensional and non-Gaussian posterior distribution that is not analytically tractable.
no code implementations • 22 Feb 2021 • Feng Du, Shuaishuai Luo, Brenden R. Ortiz, Ye Chen, Weiyin Duan, Dongting Zhang, Xin Lu, Stephen D. Wilson, Yu Song, Huiqiu Yuan
Beyond $p\approx10$ GPa, a second superconducting dome emerges with maximum $T_{\rm c}\approx1. 0$ K at $p_{\rm c2}\approx22$ GPa, which becomes fully suppressed at $p\approx28$ GPa.
Superconductivity
no code implementations • 25 Jan 2021 • Jun Zhu, Ye Chen, Frank Brinker, Winfried Decking, Sergey Tomin, Holger Schlarb
We also show the scalability and interpretability of the model by sharing the same decoder with more than one encoder used for different setups of the photoinjector, and propose a pragmatic way to model a facility with various diagnostics and working points.
no code implementations • 11 Jan 2021 • Wenhao fan, Liang Zhao, Jiayang Wang, Ye Chen, Fan Wu, Yuan'an Liu
At present, the main problem of existing research works on Android malware family classification lies in that the extracted features are inadequate to represent the common behavior characteristics of the malware in malicious families, and leveraging a single classifier or a static ensemble classifier is restricted to further improve the accuracy of classification.
Malware Detection Cryptography and Security
no code implementations • ICCV 2021 • Ye Chen, Jinxian Liu, Bingbing Ni, Hang Wang, Jiancheng Yang, Ning Liu, Teng Li, Qi Tian
Then the destroyed shape and the normal shape are sent into a point cloud network to get representations, which are employed to segment points that belong to distorted parts and further reconstruct them to restore the shape to normal.
no code implementations • 22 Dec 2020 • Ye Chen, Yuankai Huo
Multi-object tracking (MOT) in computer vision and cell tracking in biomedical image analysis are two similar research fields, whose common aim is to achieve instance level object detection/segmentation and associate such objects across different video frames.
no code implementations • ECCV 2020 • Jinxian Liu, Minghui Yu, Bingbing Ni, Ye Chen
We develop a novel learning scheme named Self-Prediction for 3D instance and semantic segmentation of point clouds.
1 code implementation • 3 Jun 2020 • Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo
In this work, we propose CircleNet, a simple anchor-free detection method with circle representation for detection of the ball-shaped glomerulus.
no code implementations • 15 Sep 2018 • Sun Lu, Zhao Junqiao, He Xudong, Ye Chen
Both are not suitable for the online localization of an autonomous vehicle in an outdoor driving environment.
no code implementations • NeurIPS 2009 • Ye Chen, Michael Kapralov, John Canny, Dmitry Y. Pavlov
We adapt a probabilistic latent variable model, namely GaP (Gamma-Poisson), to ad targeting in the contexts of sponsored search (SS) and behaviorally targeted (BT) display advertising.