Search Results for author: Jian Zhou

Found 32 papers, 10 papers with code

M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction

1 code implementation31 May 2025 Cunhang Fan, Ying Chen, Jian Zhou, Zexu Pan, Jingjing Zhang, Youdian Gao, Xiaoke Yang, Zhengqi Wen, Zhao Lv

Specifically, to eliminate the temporal inconsistency between EEG and speech modalities, the modal alignment module that uses a contrastive learning strategy is applied to align the temporal features of both modalities.

Contrastive Learning EEG +1

SparseMeXT Unlocking the Potential of Sparse Representations for HD Map Construction

no code implementations12 May 2025 Anqing Jiang, Jinhao Chai, Yu Gao, Yiru Wang, Yuwen Heng, Zhigang Sun, Hao Sun, Zezhong Zhao, Li Sun, Jian Zhou, Lijuan Zhu, Shugong Xu, Hao Zhao

Recent advancements in high-definition \emph{HD} map construction have demonstrated the effectiveness of dense representations, which heavily rely on computationally intensive bird's-eye view \emph{BEV} features.

Denoising

Learning-based Homothetic Tube MPC

1 code implementation6 May 2025 Yulong Gao, Shuhao Yan, Jian Zhou, Mark Cannon

In this paper, we study homothetic tube model predictive control (MPC) of discrete-time linear systems subject to bounded additive disturbance and mixed constraints on the state and input.

Model Predictive Control

Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach

no code implementations24 Feb 2025 Yanmeng Wang, Wenkai Ji, Jian Zhou, Fu Xiao, Tsung-Hui Chang

Federated learning (FL) has emerged as a promising distributed learning paradigm for training deep neural networks (DNNs) at the wireless edge, but its performance can be severely hindered by unreliable wireless transmission and inherent data heterogeneity among clients.

Federated Learning Scheduling

Inverse Flow and Consistency Models

no code implementations17 Feb 2025 Yuchen Zhang, Jian Zhou

While recent advances in generative models like diffusion models, conditional flow matching, and consistency models achieved impressive results by casting generation as denoising problems, they cannot be directly used for inverse generation without access to clean data.

Denoising

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

3 code implementations14 Feb 2025 Guoqing Ma, Haoyang Huang, Kun Yan, Liangyu Chen, Nan Duan, Shengming Yin, Changyi Wan, Ranchen Ming, Xiaoniu Song, Xing Chen, Yu Zhou, Deshan Sun, Deyu Zhou, Jian Zhou, Kaijun Tan, Kang An, Mei Chen, Wei Ji, Qiling Wu, Wen Sun, Xin Han, Yanan Wei, Zheng Ge, Aojie Li, Bin Wang, Bizhu Huang, Bo wang, Brian Li, Changxing Miao, Chen Xu, Chenfei Wu, Chenguang Yu, Dapeng Shi, Dingyuan Hu, Enle Liu, Gang Yu, Ge Yang, Guanzhe Huang, Gulin Yan, Haiyang Feng, Hao Nie, Haonan Jia, Hanpeng Hu, Hanqi Chen, Haolong Yan, Heng Wang, Hongcheng Guo, Huilin Xiong, Huixin Xiong, Jiahao Gong, Jianchang Wu, Jiaoren Wu, Jie Wu, Jie Yang, Jiashuai Liu, Jiashuo Li, Jingyang Zhang, Junjing Guo, Junzhe Lin, Kaixiang Li, Lei Liu, Lei Xia, Liang Zhao, Liguo Tan, Liwen Huang, Liying Shi, Ming Li, Mingliang Li, Muhua Cheng, Na Wang, Qiaohui Chen, Qinglin He, Qiuyan Liang, Quan Sun, Ran Sun, Rui Wang, Shaoliang Pang, Shiliang Yang, Sitong Liu, SiQi Liu, Shuli Gao, Tiancheng Cao, Tianyu Wang, Weipeng Ming, Wenqing He, Xu Zhao, Xuelin Zhang, Xianfang Zeng, Xiaojia Liu, Xuan Yang, Yaqi Dai, Yanbo Yu, Yang Li, Yineng Deng, Yingming Wang, Yilei Wang, Yuanwei Lu, Yu Chen, Yu Luo, Yuchu Luo, Yuhe Yin, Yuheng Feng, Yuxiang Yang, Zecheng Tang, Zekai Zhang, Zidong Yang, Binxing Jiao, Jiansheng Chen, Jing Li, Shuchang Zhou, Xiangyu Zhang, Xinhao Zhang, Yibo Zhu, Heung-Yeung Shum, Daxin Jiang

We present Step-Video-T2V, a state-of-the-art text-to-video pre-trained model with 30B parameters and the ability to generate videos up to 204 frames in length.

Video Generation Video Reconstruction

DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis

no code implementations CVPR 2025 Ziyin Zeng, Mingyue Dong, Jian Zhou, Huan Qiu, Zhen Dong, Man Luo, Bijun Li

Due to the irregular and disordered data structure in 3D point clouds, prior works have focused on designing more sophisticated local representation methods to capture these complex local patterns.

GlaLSTM: A Concurrent LSTM Stream Framework for Glaucoma Detection via Biomarker Mining

no code implementations28 Aug 2024 Cheng Huang, Weizheng Xie, Jian Zhou, Tsengdar Lee, Karanjit Kooner, Jia Zhang

Glaucoma is a complex group of eye diseases marked by optic nerve damage, commonly linked to elevated intraocular pressure and biomarkers like retinal nerve fiber layer thickness.

Decision Making

Co-Fix3D: Enhancing 3D Object Detection with Collaborative Refinement

1 code implementation15 Aug 2024 Wenxuan Li, Qin Zou, Chi Chen, Bo Du, Long Chen, Jian Zhou, Hongkai Yu

3D object detection in driving scenarios faces the challenge of complex road environments, which can lead to the loss or incompleteness of key features, thereby affecting perception performance.

3D Object Detection Autonomous Driving +2

Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports

no code implementations23 May 2024 Guangyu Guo, Jiawen Yao, Yingda Xia, Tony C. W. Mok, Zhilin Zheng, Junwei Han, Le Lu, Dingwen Zhang, Jian Zhou, Ling Zhang

The absence of adequately sufficient expert-level tumor annotations hinders the effectiveness of supervised learning based opportunistic cancer screening on medical imaging.

Clinical Knowledge Descriptive +3

Efficient Surgical Tool Recognition via HMM-Stabilized Deep Learning

no code implementations7 Apr 2024 Haifeng Wang, Hao Xu, Jun Wang, Jian Zhou, Ke Deng

Recognizing various surgical tools, actions and phases from surgery videos is an important problem in computer vision with exciting clinical applications.

Deep Learning

Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation

no code implementations1 Apr 2024 Yulin Chen, Guoheng Huang, Kai Huang, Zijin Lin, Guo Zhong, Shenghong Luo, Jie Deng, Jian Zhou

This novel framework offers improved performance with fewer parameters and holds significant potential for accurate segmentation of lesion regions in various medical tasks, making it clinically valuable.

Image Segmentation Medical Image Segmentation +4

Observer-Based Environment Robust Control Barrier Functions for Safety-critical Control with Dynamic Obstacles

no code implementations20 Mar 2024 Ying Shuai Quan, Jian Zhou, Erik Frisk, Chung Choo Chung

This paper proposes a safety-critical controller for dynamic and uncertain environments, leveraging a robust environment control barrier function (ECBF) to enhance the robustness against the measurement and prediction uncertainties associated with moving obstacles.

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.

Prognosis

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).

Deep Reinforcement Learning Meta-Learning +2

Dirichlet Diffusion Score Model for Biological Sequence Generation

2 code implementations18 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.

model

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.

Generative Adversarial Network

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

1 code implementation3 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 +3

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.

2k

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 +5

Contrastive Learning for Compact Single Image Dehazing

10 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 Generative Adversarial Network +1

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.

Prediction Protein Secondary Structure Prediction +1

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