no code implementations • 1 Aug 2023 • Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Yu Shi, Ling Zhang
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer in which the tumor-vascular involvement greatly affects the resectability and, thus, overall survival of patients.
no code implementations • 13 Jul 2023 • Wenzhou Lv, Tianyu Wu, Luolin Xiong, Liang Wu, Jian Zhou, Yang Tang, Feng Qian
Objective: The artificial pancreas (AP) has shown promising potential in achieving closed-loop glucose control for individuals with type 1 diabetes mellitus (T1DM).
1 code implementation • 18 May 2023 • Pavel Avdeyev, Chenlai Shi, Yuhao Tan, Kseniia Dudnyk, Jian Zhou
Finally, we applied this approach to develop the first human promoter DNA sequence design model and showed that designed sequences share similar properties with natural promoter sequences.
no code implementations • 23 Apr 2023 • Jiawei Xiong, Olga Fink, Jian Zhou, Yizhong Ma
In this study, a novel hybrid framework combining the controlled physics-informed data generation approach with a deep learning-based prediction model for prognostics is proposed.
no code implementations • 3 Apr 2023 • Ziyin Zeng, Qingyong Hu, Zhong Xie, Jian Zhou, Yongyang Xu
While the fundamental framework of point cloud semantic segmentation has been largely overlooked, with most existing approaches rely on the U-Net architecture by default.
no code implementations • ICCV 2023 • Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan Yuille, Zaiyi Liu, Ling Zhang
Human readers or radiologists routinely perform full-body multi-organ multi-disease detection and diagnosis in clinical practice, while most medical AI systems are built to focus on single organs with a narrow list of a few diseases.
1 code implementation • 22 Dec 2022 • Jian Zhou, Björn Olofsson, Erik Frisk
This paper proposes an interaction and safety-aware motion-planning method for an autonomous vehicle in uncertain multi-vehicle traffic environments.
no code implementations • 15 Dec 2022 • Jiaxiang Fan, Jian Zhou, Xiaoyu Deng, Huabin Wang, Liang Tao, Hon Keung Kwan
Experiments show that our method surpasses most basic methods in terms of accuracy on facial expression data sets (e. g., AffectNet, RAF-DB), and it also solves the problem of class imbalance well.
Facial Expression Recognition
Facial Expression Recognition (FER)
1 code implementation • 18 Aug 2022 • Jingtao Li, Jian Zhou, Yan Xiong, Xing Chen, Chaitali Chakrabarti
Sampling is an essential part of raw point cloud data processing such as in the popular PointNet++ scheme.
no code implementations • 18 Jun 2021 • Chengwei Chen, Yuan Xie, Shaohui Lin, Ruizhi Qiao, Jian Zhou, Xin Tan, Yi Zhang, Lizhuang Ma
Moreover, our model is more stable for training in a non-adversarial manner, compared to other adversarial based novelty detection methods.
6 code implementations • CVPR 2021 • Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma
In this paper, we propose a novel contrastive regularization (CR) built upon contrastive learning to exploit both the information of hazy images and clear images as negative and positive samples, respectively.
Ranked #5 on
Image Dehazing
on RS-Haze
no code implementations • 28 Jan 2021 • Qingfang Li, Wanxin Zhou, Xiangang Wan, Jian Zhou
Interestingly, the critical strain and failure mechanism of zigzag direction in MoSi2N4 are almost the same as those of armchair direction in MoS2, while the critical strain and failure mechanism of armchair direction for MoSi2N4 are similar to the ones of zigzag direction for MoS2.
Mesoscale and Nanoscale Physics
no code implementations • 17 Dec 2020 • Bao-dong Sun, Ze-hao Sun, Jian Zhou
We compute trace anomaly contribution to hydrogen atom mass, which turns out to be related to the part of the Lamb shift.
High Energy Physics - Phenomenology
no code implementations • 8 Sep 2020 • Jaroslav Adam, Christine Aidala, Aaron Angerami, Benjamin Audurier, Carlos Bertulani, Christian Bierlich, Boris Blok, James Daniel Brandenburg, Stanley Brodsky, Aleksandr Bylinkin, Veronica Canoa Roman, Francesco Giovanni Celiberto, Jan Cepila, Grigorios Chachamis, Brian Cole, Guillermo Contreras, David d'Enterria, Adrian Dumitru, Arturo Fernández Téllez, Leonid Frankfurt, Maria Beatriz Gay Ducati, Frank Geurts, Gustavo Gil da Silveira, Francesco Giuli, Victor P. Goncalves, Iwona Grabowska-Bold, Vadim Guzey, Lucian Harland-Lang, Martin Hentschinski, Timothy J. Hobbs, Jamal Jalilian-Marian, Valery A. Khoze, Yongsun Kim, Spencer R. Klein, Simon Knapen, Mariola Kłusek-Gawenda, Michal Krelina, Evgeny Kryshen, Tuomas Lappi, Constantin Loizides, Agnieszka Luszczak, Magno Machado, Heikki Mäntysaari, Daniel Martins, Ronan McNulty, Michael Murray, Jan Nemchik, Jacquelyn Noronha-Hostler, Joakim Nystrand, Alessandro Papa, Bernard Pire, Mateusz Ploskon, Marius Przybycien, John P. Ralston, Patricia Rebello Teles, Christophe Royon, Björn Schenke, William Schmidke, Janet Seger, Anna Stasto, Peter Steinberg, Mark Strikman, Antoni Szczurek, Lech Szymanowski, Daniel Tapia Takaki, Ralf Ulrich, Orlando Villalobos Baillie, Ramona Vogt, Samuel Wallon, Michael Winn, Keping Xie, Zhangbu Xu, Shuai Yang, Mikhail Zhalov, Jian Zhou
Ultra-peripheral collisions (UPCs) involving heavy ions and protons are the energy frontier for photon-mediated interactions.
High Energy Physics - Phenomenology High Energy Physics - Experiment Nuclear Experiment
no code implementations • 4 Feb 2020 • Huabin Wang, Rui Cheng, Jian Zhou, Liang Tao, Hon Keung Kwan
First, a spatial transformer - generative adversarial network which consists of convolutional layers and residual units is utilized to solve the initialization issues caused by face detectors, such as rotation and scale variations, to obtain improved face bounding boxes for face alignment.
no code implementations • 25 Oct 2018 • Shenglan Liu, Xiang Liu, Yang Liu, Lin Feng, Hong Qiao, Jian Zhou, Yang Wang
Supervised learning methods are widely used in machine learning.
no code implementations • 12 Mar 2014 • Huazhong Shu, Jian Zhou, Guo-Niu Han, Limin M. Luo, Jean-Louis Coatrieux
A set of orthonormal polynomials is proposed for image reconstruction from projection data.
1 code implementation • 6 Mar 2014 • Jian Zhou, Olga G. Troyanskaya
Here we present a new supervised generative stochastic network (GSN) based method to predict local secondary structure with deep hierarchical representations.
Protein Secondary Structure Prediction
Protein Structure Prediction