Search Results for author: Jian Zhou

Found 18 papers, 5 papers with code

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer

no code implementations1 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.

Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning

no code implementations13 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).

Meta-Learning reinforcement-learning

Dirichlet Diffusion Score Model for Biological Sequence Generation

1 code implementation18 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.

Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions

no code implementations23 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.

Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework

no code implementations3 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.

Segmentation Semantic Segmentation

Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions

1 code implementation22 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.

Autonomous Vehicles Collision Avoidance +2

Combating Uncertainty and Class Imbalance in Facial Expression Recognition

no code implementations15 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)

An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data

1 code implementation18 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.

Novelty Detection via Contrastive Learning with Negative Data Augmentation

no code implementations18 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.

Clustering Contrastive Learning +4

Contrastive Learning for Compact Single Image Dehazing

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.

Contrastive Learning Image Dehazing +1

Strain effects on monolayer MoSi2N4: ideal strength and failure mechanism

no code implementations28 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

Trace anomaly contribution to hydrogen atom mass

no code implementations17 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

New opportunities at the photon energy frontier

no code implementations8 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

Multistage Model for Robust Face Alignment Using Deep Neural Networks

no code implementations4 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.

Face Alignment Robust Face Alignment

Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction

1 code implementation6 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

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