Search Results for author: Jie Zhao

Found 53 papers, 16 papers with code

Multi-Domain Evolutionary Optimization of Network Structures

no code implementations21 Jun 2024 Jie Zhao, Kang Hao Cheong, Yaochu Jin

While MTEO has been primarily focusing on task similarity, there remains a hugely untapped potential in harnessing the shared characteristics between different domains to enhance evolutionary optimization.

Graph Similarity Transfer Learning

Enhancing Criminal Case Matching through Diverse Legal Factors

no code implementations17 Jun 2024 Jie Zhao, Ziyu Guan, Wei Zhao, Yue Jiang

In this paper, we propose a two-stage framework named Diverse Legal Factor-enhanced Criminal Case Matching (DLF-CCM).

Multi-Task Learning

SC2: Towards Enhancing Content Preservation and Style Consistency in Long Text Style Transfer

no code implementations7 Jun 2024 Jie Zhao, Ziyu Guan, Cai Xu, Wei Zhao, Yue Jiang

We design a style consistency loss to ensure the generated multiple sentences consistently reflect the target style polarity.

Decoder Denoising +2

UrbanSARFloods: Sentinel-1 SLC-Based Benchmark Dataset for Urban and Open-Area Flood Mapping

no code implementations6 Jun 2024 Jie Zhao, Zhitong Xiong, Xiao Xiang Zhu

Due to its cloud-penetrating capability and independence from solar illumination, satellite Synthetic Aperture Radar (SAR) is the preferred data source for large-scale flood mapping, providing global coverage and including various land cover classes.

Transfer Learning

Adaptive Learning for Multi-view Stereo Reconstruction

no code implementations8 Apr 2024 Qinglu Min, Jie Zhao, Zhihao Zhang, Chen Min

Deep learning has recently demonstrated its excellent performance on the task of multi-view stereo (MVS).

Chain of Compression: A Systematic Approach to Combinationally Compress Convolutional Neural Networks

no code implementations26 Mar 2024 Yingtao Shen, Minqing Sun, Jie Zhao, An Zou

Convolutional neural networks (CNNs) have achieved significant popularity, but their computational and memory intensity poses challenges for resource-constrained computing systems, particularly with the prerequisite of real-time performance.

Knowledge Distillation Model Compression +1

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine

no code implementations28 Feb 2024 Xiaosong Wang, Xiaofan Zhang, Guotai Wang, Junjun He, Zhongyu Li, Wentao Zhu, Yi Guo, Qi Dou, Xiaoxiao Li, Dequan Wang, Liang Hong, Qicheng Lao, Tong Ruan, Yukun Zhou, Yixue Li, Jie Zhao, Kang Li, Xin Sun, Lifeng Zhu, Shaoting Zhang

The emerging trend of advancing generalist artificial intelligence, such as GPTv4 and Gemini, has reshaped the landscape of research (academia and industry) in machine learning and many other research areas.

Transfer Learning

BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions

no code implementations14 Jan 2024 Xiao Liu, Jie Zhao, Wubing Chen, Mao Tan, Yongxing Su

To address this issue, we propose a novel self-interpretable structure, named Backbone Extract Tree (BET), to better explain the agent's behavior by identify the error-prone states.

Decision Making reinforcement-learning +2

Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review

1 code implementation3 Nov 2023 Mingze Yuan, Peng Bao, Jiajia Yuan, Yunhao Shen, ZiFan Chen, Yi Xie, Jie Zhao, Yang Chen, Li Zhang, Lin Shen, Bin Dong

This has sparked significant interest in applying LLMs to enhance various aspects of healthcare, ranging from medical education to clinical decision support.

Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning

1 code implementation4 Oct 2023 Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao

Large language models (LLMs) such as GPT-4 have exhibited remarkable performance in a variety of tasks, but this strong performance often comes with the high expense of using paid API services.

Decision Making Language Modelling +1

Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions

no code implementations29 Sep 2023 Jie Zhao, Ziyu Guan, Wei Zhao, Yue Jiang, Xiaofei He

Recent works considering professional legal-linguistic style (PLLS) texts have shown promising results on the charge prediction task.

Domain Adaptation

Leveraging the Power of Data Augmentation for Transformer-based Tracking

no code implementations15 Sep 2023 Jie Zhao, Johan Edstedt, Michael Felsberg, Dong Wang, Huchuan Lu

Due to long-distance correlation and powerful pretrained models, transformer-based methods have initiated a breakthrough in visual object tracking performance.

Data Augmentation Visual Object Tracking

Utilizing Large Language Models for Natural Interface to Pharmacology Databases

no code implementations26 Jul 2023 Hong Lu, Chuan Li, Yinheng Li, Jie Zhao

The drug development process necessitates that pharmacologists undertake various tasks, such as reviewing literature, formulating hypotheses, designing experiments, and interpreting results.

Language Modelling Large Language Model

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning

1 code implementation29 Jun 2023 Arvi Jonnarth, Jie Zhao, Michael Felsberg

Coverage path planning (CPP) is the problem of finding a path that covers the entire free space of a confined area, with applications ranging from robotic lawn mowing to search-and-rescue.

reinforcement-learning

propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans

no code implementations29 May 2023 ZiFan Chen, Jiazheng Li, Jie Zhao, Yiting Liu, Hongfeng Li, Bin Dong, Lei Tang, Li Zhang

This model consists of a proposing stage for coarse segmentation and a refining stage for improved segmentation, using two-way branches for enhanced performance and an up-down strategy for efficiency.

Segmentation Tumor Segmentation

NeuralMatrix: Compute the Entire Neural Networks with Linear Matrix Operations for Efficient Inference

no code implementations23 May 2023 Ruiqi Sun, Siwei Ye, Jie Zhao, Xin He, Yiran Li, An Zou

The inherent diversity of computation types within individual Deep Neural Network (DNN) models imposes a corresponding need for a varied set of computation units within hardware processors.

Diversity Specificity

Efficient Gridless DoA Estimation Method of Non-uniform Linear Arrays with Applications in Automotive Radars

no code implementations8 Mar 2023 Silin Gao, Zhe Zhang, Muhan Wang, Yan Zhang, Jie Zhao, Bingchen Zhang, Yue Wang, Yirong Wu

This paper focuses on the gridless direction-of-arrival (DoA) estimation for data acquired by non-uniform linear arrays (NLAs) in automotive applications.

Reinforced Question Rewriting for Conversational Question Answering

no code implementations27 Oct 2022 Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi

Furthermore, human evaluation shows that our method can generate more accurate and detailed rewrites when compared to human annotations.

Question Rewriting Retrieval

Vision-based Anti-UAV Detection and Tracking

1 code implementation22 May 2022 Jie Zhao, Jingshu Zhang, Dongdong Li, Dong Wang

It contains a detection dataset with a total of 10, 000 images and a tracking dataset with 20 videos that include short-term and long-term sequences.

Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation

1 code implementation17 May 2022 Hexin Dong, ZiFan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang

Therefore, we propose a method called region-aware metric learning (RAML), which first separates the regions of the images and generates region-aware features for further metric learning.

Few-Shot Learning Metric Learning +2

Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline

1 code implementation CVPR 2022 Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiang Ruan

With the popularity of multi-modal sensors, visible-thermal (RGB-T) object tracking is to achieve robust performance and wider application scenarios with the guidance of objects' temperature information.

Attribute Diversity +2

Online Deep Metric Learning via Mutual Distillation

no code implementations10 Mar 2022 Gao-Dong Liu, Wan-Lei Zhao, Jie Zhao

Existing solutions either retrain the model from scratch or require the replay of old samples during the training.

Metric Learning

Imitation of Manipulation Skills Using Multiple Geometries

no code implementations2 Mar 2022 Boyang Ti, Yongsheng Gao, Jie Zhao, Sylvain Calinon

Daily manipulation tasks are characterized by geometric primitives related to actions and object shapes.

Recursive Least Squares Policy Control with Echo State Network

no code implementations13 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.

Time Series Time Series Analysis

OneFlow: Redesign the Distributed Deep Learning Framework from Scratch

1 code implementation28 Oct 2021 Jinhui Yuan, Xinqi Li, Cheng Cheng, Juncheng Liu, Ran Guo, Shenghang Cai, Chi Yao, Fei Yang, Xiaodong Yi, Chuan Wu, Haoran Zhang, Jie Zhao

Aiming at a simple, neat redesign of distributed deep learning frameworks for various parallelism paradigms, we present OneFlow, a novel distributed training framework based on an SBP (split, broadcast and partial-value) abstraction and the actor model.

Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training

no code implementations29 Sep 2021 Hexin Dong, Fei Yu, Jie Zhao, Bin Dong, Li Zhang

This paper proposes an unsupervised cross-modality domain adaptation approach based on pixel alignment and self-training.

Segmentation Semantic Segmentation +1

Contrastive Learning for Mitochondria Segmentation

no code implementations25 Sep 2021 Zhili Li, Xuejin Chen, Jie Zhao, Zhiwei Xiong

However, due to the image degradation during the imaging process, the large variety of mitochondrial structures, as well as the presence of noise, artifacts and other sub-cellular structures, mitochondria segmentation is very challenging.

Contrastive Learning Segmentation

Video Annotation for Visual Tracking via Selection and Refinement

1 code implementation ICCV 2021 Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang

Deep learning based visual trackers entail offline pre-training on large volumes of video datasets with accurate bounding box annotations that are labor-expensive to achieve.

Visual Tracking

AKG: Automatic Kernel Generation for Neural Processing Units using Polyhedral Transformations

1 code implementation Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation 2021 Jie Zhao, Bojie Li, Wang Nie, Zhen Geng, Renwei Zhang, Xiong Gao, Bin Cheng, Chen Wu, Yun Cheng, Zheng Li, Peng Di, Kun Zhang, Xuefeng Jin

Existing tensor compilers have proven their effectiveness in deploying deep neural networks on general-purpose hardware like CPU and GPU, but optimizing for neural processing units (NPUs) is still challenging due to the heterogeneous compute units and complicated memory hierarchy.

Code Generation Management +1

Efficient Client Contribution Evaluation for Horizontal Federated Learning

no code implementations26 Feb 2021 Jie Zhao, Xinghua Zhu, Jianzong Wang, Jing Xiao

In this paper an efficient method is proposed to evaluate the contributions of federated participants.

Federated Learning

Phase-controlled pathway interferences and switchable fast-slow light in a cavity-magnon polariton system

no code implementations24 Feb 2021 Jie Zhao, Longhao Wu, Tiefu Li, Yu-xi Liu, Franco Nori, Yulong Liu, Jiangfeng Du

We study the phase controlled transmission properties in a compound system consisting of a 3D copper cavity and an yttrium iron garnet (YIG) sphere.

Quantum Physics Applied Physics Optics

Finite Volume Element Methods for Two-Dimensional Time Fractional Reaction-Diffusion Equations on Triangular Grids

no code implementations29 Jan 2021 Zhichao Fang, Jie Zhao, Hong Li, Yang Liu

In this paper, the time fractional reaction-diffusion equations with the Caputo fractional derivative are solved by using the classical $L1$-formula and the finite volume element (FVE) methods on triangular grids.

Numerical Analysis Numerical Analysis 65N30, 65M60, 26A33 G.1.2; G.1.8

Optimizing the Memory Hierarchy by Compositing Automatic Transformations on Computations and Data

1 code implementation 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) 2020 Jie Zhao, Peng Di

Optimizing compilers exploit the memory hierarchy using loop tiling and fusion, but these two transformations usually interfere with each other due to the oversight of transformations on data in memories.

Skin disease diagnosis with deep learning: a review

no code implementations11 Nov 2020 Hongfeng Li, Yini Pan, Jie Zhao, Li Zhang

As an important part of this article, we then review the literature involving deep learning methods for skin disease diagnosis from several aspects according to the specific tasks.

Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking

no code implementations4 Jul 2020 Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang

In this study, we propose a novel RGB-T tracking framework by jointly modeling both appearance and motion cues.

Rgb-T Tracking

Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation

no code implementations5 Dec 2019 Jie Zhao, Xiang Deng, Huan Sun

This paper makes one of the first efforts toward automatically generating complex questions from knowledge graphs.

Data Augmentation Knowledge Graphs +2

An End-to-End Framework for Cold Question Routing in Community Question Answering Services

no code implementations22 Nov 2019 Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy

Routing newly posted questions (a. k. a cold questions) to potential answerers with the suitable expertise in Community Question Answering sites (CQAs) is an important and challenging task.

Community Question Answering Graph Embedding

PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation

1 code implementation4 Nov 2019 Jie Zhao, Lei Dai, Mo Zhang, Fei Yu, Meng Li, Hongfeng Li, Wenjia Wang, Li Zhang

The experimental results show that the PGU-net+ has superior accuracy than the previous state-of-the-art methods on cervical nuclei segmentation.

Segmentation

Assembly of randomly placed parts realized by using only one robot arm with a general parallel-jaw gripper

no code implementations19 Sep 2019 Jie Zhao, Xin Jiang, Xiaoman Wang, Shengfan Wang, Yun-hui Liu

The proposal in this paper is verified by a simulated assembly in which a robot arm completed the assembly process including parts picking from bin and a subsequent peg-in-hole assembly.

Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images

no code implementations26 Jul 2019 Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang

Segmenting coronary arteries is challenging, as classic unsupervised methods fail to produce satisfactory results and modern supervised learning (deep learning) requires manual annotation which is often time-consuming and can some time be infeasible.

Generative Adversarial Network Transfer Learning

ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning

no code implementations7 Jul 2019 Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li

Such pixel-level dilation rates produce optimal receptive fields so that the information of objects with different sizes can be extracted at the corresponding scale.

Semantic Segmentation

Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural Networks

2 code implementations19 Apr 2019 Wenjia Wang, Junxuan Chen, Jie Zhao, Ying Chi, Xuansong Xie, Li Zhang, Xian-Sheng Hua

The proposed model is trained and evaluated on a few publicly available datasets and has achieved the state-of-the-art accuracy with a mean Dice coefficient index of 0. 947 $\pm$ 0. 044.

Segmentation

Efficient Fully Convolution Neural Network for Generating Pixel Wise Robotic Grasps With High Resolution Images

no code implementations24 Feb 2019 Shengfan Wang, Xin Jiang, Jie Zhao, Xiaoman Wang, Weiguo Zhou, Yun-hui Liu, Fellow IEEE

This paper presents an efficient neural network model to generate robotic grasps with high resolution images.

Robotics

Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model

1 code implementation3 Dec 2018 Jie Zhao, Quanzheng Li, Xiang Li, Hongfeng Li, Li Zhang

Pap smear testing has been widely used for detecting cervical cancers based on the morphology properties of cell nuclei in microscopic image.

Image Segmentation Medical Image Segmentation +2

An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective

no code implementations EMNLP 2017 Jie Zhao, Yu Su, Ziyu Guan, Huan Sun

Given a question and a set of answer candidates, answer triggering determines whether the candidate set contains any correct answers.

Multiple Instance Learning Question Answering

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